International Journal of Application or Innovation in Engineering & Management (IJAIEM)
Web Site: www.ijaiem.org Email: editor@ijaiem.org, editorijaiem@gmail.com
Volume 2, Issue 11, November 2013
ISSN 2319 - 4847
Decision Support Systems In Determining
Lecturer’s Performance Appraisal Using Fuzzy
Database Method of Mamdani's Model (Case
Study at the University of Serang Raya)
Sumiati1, Shodik Nuryadhin2 .
Department of Informatics - University of Serang Raya – Banten
Abstract
In determining the lecturer’s performance evaluation by the university both private and state is important, in order to improve the
academic quality assurance. There are several factors that assessment. For the sake of efficiency and effectiveness of work then
making the right decision is needed. With the aim to build and provide an alternative of a decision support system which has the
ability of Lecturers performance appraisal analysis, in which each of the criteria in this case factors and alternative assessment in
this case the lecturers compared to one another so as to provide the output intensity value priorities produce a score value of
lecturers who provide an assessment of the performance of each lecturer.
This study will analyze Lecturers Performance Appraisal-based intelligent computing system using Fuzzy Inference System with
Mamdani method. The focus of research is more focused on faculty performance appraisal process. This assessment is based on
the assessment of faculty performance, namely Tridarma and internal activity. The specific objective of this study was to evaluate
the performance of lecturers in universities. Performance evaluation is an important issue for an institution of higher education,
because it can be used as a reference in making decisions regarding the improvement of the performance, especially improved
performance in the field of teaching. This decision support system to help and provide an alternative to the assessment of each
faculty, the criteria change, It is useful to facilitate decision-makers on issues related to faculty performance appraisal, so it will
at least get a decent lecturers were given rewards or awards
Keywords: Performance Assessment Lecturer, Fuzzy Inference System, Mamdani Method
I. Preface
The importance of performance measurement is not needed and is done only in business but also in education. Thus the
importance of performance measurement in the management of universities or education, the Directorate General of
Higher Education put it in the format of the new management that aims to improve the quality of education on an
ongoing basis. Improving the quality of education is done in a sustainable manner by incorporating assessment,
accreditation and institutional self-evaluation conducted on universities both public and private (Soehendro, 1996).
Either private or public university always working to improve the status of quality improvement / internal quality on an
ongoing basis to obtain an increase in the quality of lecturers. To maintain the quality of the faculty, institutions routinely
perform the monitoring and evaluation of faculty performance. Routine monitoring and evaluation of faculty performance
bottleneck in its development with the increasing number of students and the limited number of officers. In addition to
data processing only processed using Microsoft Excel software, until now there is no special software to process the data
as a tool for monitoring and evaluation of faculty performance. The results of the monitoring and evaluation of faculty
performance during this form of recapitulation sourced from questionnaire data related to student learning process and do
not include the activities of lecturers in the field of research and community service. These problems have an impact on:
1. Takes a long time in doing student questionnaire data processing by the academic part.
2. Lecturer’s performance evaluation results are still incomplete because not include field research and community
service.
3. Lecturer performance evaluation results are not in accordance with the guidance lecturer performance evaluations that
have been established by the institution.
4. Institutional difficulty in determining policies related quality improvement lecturer as: further studies, training and
rewards, no historical data of lecturer performance.
5. Become an obstacle to the improvement of institutional accreditation status as one of the accreditation assessment is a
history of the activities Tridharma college by the lecturer within a certain time.
This study will analyze Lecturers Performance Appraisal-based intelligent computing system using Fuzzy Inference
System with Mamdani method. The focus of research is more focused on lecturer performance appraisal process. This
Volume 2, Issue 11, November 2013
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International Journal of Application or Innovation in Engineering & Management (IJAIEM)
Web Site: www.ijaiem.org Email: editor@ijaiem.org, editorijaiem@gmail.com
Volume 2, Issue 11, November 2013
ISSN 2319 - 4847
assessment is based on the assessment lecturer performance, namely Tridarma and internal activity. This decision support
system to help and provide an alternative to the assessment of each lecturer, the criteria change, It is useful to facilitate
decision-makers on issues related to lecturer performance appraisal, so it will at least get a decent lecturers were given
rewards or awards
II. Fuzzy Logic
One of the components forming the study of soft computing are fuzzy logic was first introduced in 1965 by Lotfi A.
Zadeh. Fuzzy logic is used as a way to map the problem of inputs leading to the expected output. The role of degree of
membership is the cornerstone of a fuzzy set to determine the presence of certain elements [13], [14].
Some basic operations are most often used to combine and modify the fuzzy set is, the combined operation (union), slices
operations (Intersection) and complement operator (Complement). The workings of fuzzy logic includes several stages as
follows (see Figure 1) [15]:
1) Fuzzification Process
2) Fuzzy knowledge base formation (Rule in the form of IF ... THEN)
3) Inference Engine (Max-Min implication function or Dot-Product)
4) Defuzzyfication, which can be done in several ways, including the
a. Average Methode
(1)
b. Center of Area Methode
(2)
Figureure 1. The structure of the fuzzy inference system
III. Analysis And Design
3.1 Input Requirements Analysis
Activities and evaluating lecturer performance appraisal carried out by the Head of Quality Assurance Unit of each
semester that are accumulated in one academic year. The elements are the basis for performance evaluation include:
primary data and secondary data. Primary data consist of accuracy in the assessment, preparation of the material, the
ability to present the material, give examples relating to the material being taught. Secondary data consists of Tridarma
College include teaching, research and community service. The data used in this study is primary data, the study used
variable input variables and two output variables. These variables are as follows:
X1 = Mastery Matter
Based on the above data consists of 3 teaching variable fuzzy sets (LOW MEDIUM HIGH)
X 2 = Explain, Elaborate and Presenting
Based on the above data consists of 3 variable fuzzy sets (LOW MEDIUM HIGH)
X3 = Variable Answering Questions
Based on the above data consists of 3 variable fuzzy sets (LOW MEDIUM HIGH)
X4 = Variable Discipline
Based on the above data consists of 3 variable fuzzy sets (LOW MEDIUM HIGH)
X5 = Variable Performance / Appearance
Based on the above data consists of 3 variable fuzzy sets (LOW MEDIUM HIGH)
X6 = Variable Interactions with Students
Based on the above data consists of 3 variable fuzzy sets (LOW MEDIUM HIGH)
3.2 Logic Process analysis
Sistem Penilaian kinerja dosen tetap Universitas Serang Raya dirancang dan dibangun dengan menerapkan logika fuzzy
Inference System dengan metode Mamdani yang disesuaikan dengan kondisi dari ketentuan penilaian kinerja dosen tetap
Universitas Serang Raya yang ada.
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Volume 2, Issue 11, November 2013
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The performance evaluation system of permanent lecturers of University Serang Raya designed and built by applying
fuzzy logic Inference System with Mamdani methods adapted to the conditions of the terms of performance assessment of
permanent lecturers of University Serang Raya.
3.3 Output Requirement Analysis
The results or output of this research is a decision in the assessment of lecturer performance at the University of Serang
Raya.
3.4 Design
The design is done on the stage Use Case Diagrams, and Class Diagrams. The user of a decision support system (DSS) is
the Head of University Serang Raya quality assurance Unit, then this lecturer performance appraisal process is a process
of typing the assessment data, lecturers data and the value for the performance of each lecturer data.
3.4.1 Use Case Diagram
Use case is a construction to describe how the system looks in the eyes of the user. Target modeling use case include
defining the functional and operational needs of the system.
Input Batas Atas dan Batas Bawah Variabel
Input Penguasaan Materi
Menjelaskan menguraikan dan memaparkan
Variabel Menjawab
Input Variabel
Variabel Kedisiplinan
Akademik
Fuzzy Madani
Variabel Performance
View Hasil
Variabel Interaksi dengan Mahasiswa
Figureure 3.1 Use Case Diagram
3.4.2 Activity Diagram
Activity diagrams are part of UML is used to describe the stages of any existing business processes in order to more easily
understand the business processes that occur. In the activity diagram for each activity presented by the rounded rectangle
is linked with arrows to illustrate the transition from one activity to another. Activity diagrams starting from the initial
state and ends with the final state
Input Batas atas dan Bawah Variable
Proses Input
Hasil
Figureure 3.2 Activity Diagram Input upper limit and lower limit variable
Input Variabel
Input Penguasaan Materi
Variabel Menjawab
Menjelaskan, Menguraikan dan memaparkan
Variabel Performance
Variabel Interaksi dengan Mahasiswa
Variabel Kedisiplinan
Proses Variabel
Hasil
Figureure 3.3 Activity Diagram Input Variable
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Fuzzy Madani
Cek
Benar
Hasil
Figureure 3.4 Activity Diagram Fuzzy Mamdani
Hasil Laporan Kinerja Kerja
Lihat Laporan
Figureure 3.5 Activity Diagram Work Performance Report
3.4.3 Sequence Diagram
Sequence diagrams describe interactions between objects in and around the system. Sequnce diagram between dimensions
comprises vertical and horizontal dimensions. Sequence diagrams illustrate commonly used scenario or series of steps
carried out in response sebuag event to produce a given output. Beginning of what is to trigger the event, the process and
what changes are going on internally and what the resulting output. Each object includes actors have the vertical lifeline.
Message berpanah described as a line other than an object. In the next design phase, the message will be mapped into the
operating methods of the class Activation bar indicates the length of the execution of a process, generally begins with the
receipt of a massage.
: Akademik
Input Batas Atas dan Batas Bawah Variabel
1 : Input Batas()
2 : Hasil()
Figureure 3.6 Sequence Diagrams Input upper limit and lower limit variable
Input Variabel
: Akademik
1 : Input Penguasaan Materi()
2 : Menjelaskan, Menguraikan dan memaparkan()
3 : Variabel Menawab()
4 : Variabel Kedisiplinan()
5 : Variabel Performance()
6 : Variabel Interaksi dengan mahasiswa()
Figureures 3.7 Sequence Diagram Input Variable
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Fuzzy Madani
: Akademik
1 : Input()
2 : Hasil()
Figure 3.8 Sequence Diagram Input Fuzzy Madani
Laporan Hasil Kinerja Kerja
: Akademik
1 : Cetak()
2 : Lihat()
Figure 3.8 Sequence Diagram Work Performance Report
4. Research Methodology
This study uses the descriptive method of research, because it was felt that the issue being studied now by the facts that
occurred in the performance of a lecturer at the University of Serang Raya. This study is expected to provide enter or
support decisions about the relative value of two or more relative measures.
5. Results and Discussion
The process of data collection and data cleaning resulted in 81 studies lecturer at the Faculty of Information Technology,
77 lecturer in the Faculty of Engineering, 54 lecturer at the Faculty of Economics and lecturer at the Faculty of Social
Politics 7. Data lecturer of the Faculty of Information Technology to the Faculty of Social Politics (see table 5.1). Value
NR_Content Mastery, NR_ Describes outlining and describing and an average value of the respondents, value of
NR_Answer Questions, NR_Discipline, NR_Performance and NR_Interaction with students is the average value of the
respondents.
Based on the above data were grouped into 6 model of fuzzy variable fuzzy set on 3 (LOW MEDIUM HIGH) and the
variable and the universe of discourse in this case as shown in (Table 5.2). While the fuzzy set is established based on the
data values above, as shown in (Table 5.3).
Based on the above data were grouped into 6 models are fuzzy variables, NR_ material mastery, consisting of three fuzzy
sets (LOW MEDIUM HIGH), NR_ Describes outlining and describing, consisting of three fuzzy sets LOW and MEDIUM
HIGH NR_ Answering Questions, consisting of 3 fuzzy set (LOW MEDIUM HIGH), NR_ discipline consists of three
fuzzy sets (LESS, MEDIUM, GOOD), NR_Performance consists of three fuzzy sets (LOW MEDIUM HIGH) and NR_
Interaction with students with 3 fuzzy sets (LOW MEDIUM HIGH)
Fuzzyfikasi initial process begins with a test of the first data named Yanto Adjie Setya, SE., M.Sc. and has a value
NR_Material Mastery = 4:19, NR_ Describes outlining and describing = 3.81 = 4.06 The NR_ NR_Question answering
Discipline = 3.66 and NR_ NR_Performance = 3.75 = 4.00 The Interaction with students. To determine whether Yanto
Adjie Setya get reaward or not get the reward, the first degree of membership value calculation for each value that is
owned (NR_Material Mastery, NNR_ Describes outlining and describing, NR_Question answering, NR_ Discipline,
Performance and NR_ NR_ Interaction with students. calculation results show that the value of Mastery NR_Material
possessed a degree of membership in the set LOW at -1.58 and 0:47 on the set iS (see chart NR_Material degree of
membership for Mastery in Figure 5.1).
The calculation of the value of membership degree and then continued in outlining and describing NR_Describes
variable, which after calculation, the value NR_ Describes outlining and describing fit into the set members with degrees
of membership -1.08 LOW, MEDIUM and set the degree of membership of 0:57 (see chart degree of membership NR_
Describes outlining and describing in Figure 5.2).
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The calculation of the value of membership degree and then continued on answering NR_Question variables which after
calculation, the value of answering Question NR_
entered into by members of the set LOW -1.4 degrees of membership and the degree of membership MEDIUM set of 0.63
(see chart degree of membership in the picture NR_ answering Question 5.3)
The calculation of the value of membership degree and then continued on NR_Discipline variables which after
calculation, the value NR_ Discipline entered into by members of the set LOW -0.88 degrees of membership and the
degree of membership MEDIUM set of 0.88 (see chart NR_ Discipline degree of membership in the Figure 5.4).
The calculation of the value of membership degree and then continued on NR_Performance variables which after
calculation, the value NR_ Performance fit into the set of members with degrees of membership -0.75 LOW and
MEDIUM set with a membership degree of 0.86 (see chart degree of membership NR_ Performance in Figure 5.5).
The calculation of the value of membership degree and then continued on NR_Interaction with students variables which
after calculation, the value NR_ Interaction with students fit into the set of members with degrees of membership -1.33
LOW and MEDIUM set with a membership degree of 0.63 (see chart membership degree of NR_ Interaction with
students with the image 5.6).
Here are samples of data taken from several faculty lecturer shown in Table 5.1
No.
Lecturer’s
Name
Table 5.1 Sample Data lecturer
AVERAGE OF DESCRIPTION TO
ASSESS
Output
1
2
3
4
5
6
Yanto Adjie
Setya, SE., M.Si.
Irwan
Agustiansyah,
S.Pd., M.Hum.
H. Uus
Muhammad
Husain, Lc.
Nana Umdiana,
SE.
4,1
9
3,8
1
4,0
6
3,6
6
3,75
4,00
3,91
3,9
7
3,8
4
3,9
4
3,7
5
3,88
3,81
3,86
4,2
9
4,0
6
4,1
2
4,0
6
4,00
4,18
4,12
4,4
5
4,3
6
4,3
3
3,7
0
4,15
3,88
4,15
5
Sulasno, SH.,
M.Hum.
3,8
4
3,2
4
3,7
6
4,2
8
3,80
3,32
3,71
6
H. Anizir Ali
Murad, SE., MM.
3,9
7
4,0
3
4,0
0
4,1
9
4,29
4,16
4,11
Imam Fauzi,
M.Pd
Shodik
Nuryadhin,
S.Kom.
Bohari Muslim,
M.Pd.
4,6
2
4,5
0
4,5
9
4,7
6
4,71
4,35
4,59
4,0
3
3,7
8
3,7
5
3,5
0
3,88
3,88
3,80
4,5
7
4,2
4
4,2
4
3,5
7
4,33
4,43
4,23
10
Drs. Rustaman
Ridwan
4,0
0
3,4
5
3,6
4
4,2
3
3,86
3,95
3,86
11
Santi Octaviani,
SE., M.Ak
3,0
5
2,4
8
2,8
6
1,8
6
3,19
3,19
2,77
12
Boy Perihatin,
S.Pd.
2,2
5
2,2
5
1,8
8
1,8
8
2,00
1,88
2,02
13
Deviyantoro, SE.,
MM.
3,8
6
3,2
9
3,5
2
4,1
4
3,67
3,90
3,73
14
Rafiudin, S.Ag.,
M.Si
4,0
6
3,7
1
3,6
3
3,9
4
3,97
3,26
3,76
1
2
3
4
7
8
9
Volume 2, Issue 11, November 2013
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Volume 2, Issue 11, November 2013
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15
Hendriyastuti,
S.Pd., M.Pd
3,9
6
3,6
0
3,8
4
4,0
0
4,00
3,68
3,85
16
M. Taufik
Harsana, S.Kom.
4,6
4
4,4
5
4,3
2
4,6
8
4,36
4,23
4,45
17
Syifa Sulfiah,
S.Si., MM.
4,4
0
4,0
0
4,3
0
3,6
0
4,20
3,60
4,02
18
Dayat Hidayat,
SE., M.Akt.
4,3
5
4,2
2
4,4
8
4,0
0
4,35
4,35
4,29
19
Kodriyah, S.Pd.
4,3
1
4,1
9
4,1
9
3,9
4
3,75
4,00
4,06
4,1
3
3,8
4
4,0
3
3,8
7
4,10
3,94
3,98
3,9
4
3,6
1
3,6
5
3,2
3
3,68
3,45
3,59
20
21
H. Ade
Manggala, SE.,
M.Akt.
Drs. Bambang
Setiadi
22
Drs. Abdul
Fatah, MM.
3,7
4
3,3
7
3,3
7
3,7
9
3,68
3,26
3,54
23
Join Satria, SE.,
MM.
4,4
2
3,9
6
4,2
5
4,0
8
4,00
4,42
4,19
Sayifullah, SE.,
M.Akt
M. Johan
Widikusyanto,
M.Sc
Erma
Perwitasari,
M.Pd.
Jainul Abidin,
SE., M.Si.
4,3
0
4,0
0
4,1
1
4,1
1
4,19
4,33
4,17
3,8
2
3,8
2
3,7
7
3,7
3
4,09
3,32
3,76
3,5
9
3,1
7
3,1
7
2,5
9
3,24
3,00
3,13
4,5
3
4,5
3
4,3
0
4,6
7
4,20
4,30
4,42
28
Ir. H. Eddy
Nugroho
4,3
2
4,1
4
4,0
9
4,0
5
4,09
4,23
4,15
29
Deni Hermana,
SE., MM
4,3
8
4,2
8
4,3
1
4,0
0
4,50
4,31
4,30
Denny Putri
Hapsari, SE
Ir. H. Zaenal
Abidin Afifi,
MM
3,1
9
2,9
0
3,1
9
2,1
4
2,90
2,71
2,84
3,5
9
3,1
8
3,4
1
3,6
2
3,71
3,41
3,49
3,5
3
3,3
7
3,4
7
3,7
9
3,47
3,79
3,57
4,3
0
4,0
0
4,2
2
4,0
4
4,07
4,19
4,14
3,5
9
3,1
2
3,3
5
3,1
8
3,24
3,00
3,25
24
25
26
27
30
31
32
33
34
Dr. Mahdani
Imam Abu
Hanifah, SE.,
M.Akt.
Eka Satia
Laksmana, S.Sos.
35
Karkono, SE.,
MM.
4,0
8
4,0
0
4,1
3
3,8
3
3,75
4,13
3,99
36
Restu Wahyuni,
S.Sos.
3,4
3
3,0
0
3,2
2
2,0
9
3,48
2,87
3,01
37
As'ary, SS.,
M.Hum
4,0
7
3,8
8
3,9
3
4,1
2
4,00
3,84
3,97
Volume 2, Issue 11, November 2013
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Volume 2, Issue 11, November 2013
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38
Suhud, S.Kom.
4,0
5
3,9
1
3,9
3
4,0
9
4,00
3,84
3,97
39
Roy Ritonga,
M.Kom.
3,6
0
3,6
0
3,6
0
3,2
0
3,40
3,20
3,43
40
Muizzudin, SE.,
MM.
4,0
0
3,5
0
3,6
7
3,6
7
3,67
3,17
3,61
41
Oji Fauzi, M.Pd.
4,2
4
4,0
0
4,0
4
3,0
8
3,84
4,12
3,89
42
Syamsudin, S.Si.,
MM.
4,1
4
3,7
6
3,6
2
4,3
8
3,95
3,71
3,93
43
Abdul Halim,
S.Kom.
4,3
1
4,1
3
3,9
4
4,5
6
4,38
4,13
4,24
44
Achmad Firdaus,
MM.
2,1
5
1,9
6
2,0
4
1,4
2
2,00
1,77
1,89
Table 5.2 Variables and Universe Discussion
Function
Input
output
Fungsi
Variable Name
NR_ Material Mastery
[ 2.25 – 4.64]
NR_ Describes outlining
and describing
[2.25 – 4.50 ]
NR_ Variabel Question
answering
[1.88 – 4.59]
NR_Variabel Discipline
[1.42- 4.76]
NR_ performance
[ 2.00- 4.71]
NR_Interaction with
students
[1.77 – 4.43]
Lecturers Performance
Appraisal
[ 1.89 – 4.59]
Nama
Variabel
NR_ Material
Mastery
Input
Universe Discussion
NR_
Menjelaskan
Menguraikan
danmemapark
an
NR_ Variabel
Question
Volume 2, Issue 11, November 2013
Explanation
Average scores of
respondents variabel
Material Mastery
Average scores of
respondents variabel
Describes outlining and
describing
Average scores of
respondents variabel
Question answering
Average scores of
respondents variabel
Discipline
Average scores of
respondents variabel
Performance
Average scores of
respondents variabel
Interaction with students
Value that meets lecturer
performance appraisal so
get reward
Table 5. 3. The Set of Fuzzy
Semesta
Himpunan Fuzzy
pembicaraan
Low
Middle
[ 2.25 –4.64]
High
[2.25 – 3.00]
[2.25 – 4.64]
[ 3.50 - 4.64 ]
Low
Middle
High
[2.25 – 4.50 ]
[2.25 – 3.00 ]
[2.25 – 4.50 ]
[ 3.50 - 4.50 ]
Low
Middle
[1.88 – 4.59]
[1.88 – 3.00 ]
[2.25 – 4.59 ]
Domain
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Volume 2, Issue 11, November 2013
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answering
NR_Variabel
Discipline
NR_
performance
NR_Interactio
n with
students
output
Penilaian
Kinerja Dosen
High
Low
Middle
High
Low
Middle
High
Low
Middle
High
Medium
Good
Very Good
[1.42- 4.76]
[ 2.00- 4.71]
[1.77 – 4.43]
[ 1.89 – 4.59]
[ 3.50 - 4.59]
[1.42 – 3.00 ]
[2.25 – 4.76 ]
[ 3.50 - 4.76 ]
[2.00 – 3.00]
[2.00 – 4.71]
[ 3.50 - 4.71 ]
[1.77– 3.00 ]
[2.25 – 4.43 ]
[ 3.50 - 4.43]
[ 1.89 – 3.50]
[ 3.00- 4.59]
[4.00 - 4.59]
Figure 5.1. Grafik derajat keanggotaan untuk NR_ Material Mastery
Figure 5.2. Graphs degree of membership to Explain Describe NR_and \Exposing
Figure 5.3 . Grafik derajat keanggotaan untuk NR_ Question
Answering
Figure 5.4 . Grafik derajat keanggotaan untuk NR_ Discipline
Figure 5.5. Graphs degree of membership to NR_ Performance
Volume 2, Issue 11, November 2013
Page 310
International Journal of Application or Innovation in Engineering & Management (IJAIEM)
Web Site: www.ijaiem.org Email: editor@ijaiem.org, editorijaiem@gmail.com
Volume 2, Issue 11, November 2013
ISSN 2319 - 4847
Figure 5.6. Graphs degree of membership to NR_ Interactions with Students
Proses selanjutnya adalah melakukan inferensi terhadap Variabel Penilaian Kierja Dosen dengan cara yang sama di atas,
pada kasus ini kami menggunakan fungsi trapesium untuk mendefinisikan nilai linguistik nya sebagai berikut (lihat
gambar 5.7) :
Figure 5.7. Inference Graph Variable Performance Assessment lecturer
By using Mamdani inference method, obtained by using a process of inference rules CONJUNCTION (^) of the eight new
rules above, to take a minimum degree of membership from the existing linguistic value. Here is a new temporary rule
obtained:
1) If NR_Material Mastery Rendah (1.58) AND NR_ Menjelaskan Menguraikan danmemaparkan Rendah (1.08)
AND NR_ Variabel Question answering Rendah (1.4) AND NR_Variabel Discipline Rendah (0.88) AND NR_
NR_ performance Rendah (0.75) AND NR_ Interaction with students Rendah (1.33) Then Penilaian Kinerja
Sedang (0.75)
2.) If NR_Material Mastery Rendah (1.58) AND NR_ Describes outlining and describing Sedang (0.57) AND NR_
Variabel Question answering Sedang (0.63) AND NR_Variabel Discipline Sedang (0.88) AND NR_ NR_
performance Rendah (0.75) AND NR_ Interaction with students Sedang(0.63) Then Penilaian Kinerja Sedang
(0.57)
3) If NR_Material Mastery Sedang(0.47) AND NR_ Describes outlining and describing Rendah (1.08) AND NR_
Variabel Question answering Rendah (1.4) AND NR_Variabel Discipline Rendah(0.88) AND NR_ NR_
performance Rendah (0.75) AND NR_ Interaction with students Sedang (0.63) Then Penilaian Kinerja Sedang
(0.47)
4) If NR_Material Mastery Sedang (0.47) AND NR_ Describes outlining and describing Sedang (0.57)AND NR_
Variabel Question answering Sedang(0.63) AND NR_Variabel Discipline Sedang ( 0.88) AND NR_ NR_
performance Sedang (0.86) AND NR_ Interaction with students Sedang (0.63) Then Penilaian Kinerja Sedang
(0.47)
5) If NR_Material Mastery Rendah (1.58) AND NR_ Describes outlining and describing Rendah (1.08) AND NR_
Variabel Question answering Rendah (1.4) AND NR_Variabel Discipline Rendah(0.88) AND NR_ NR_
performance Rendah (0.75) AND NR_ Interaction with students Rendah (1.33) Then Penilaian Kinerja Sedang
(0.75)
6) If NR_Material Mastery Sedang (0.47) AND NR_ Describes outlining and describing Rendah (1.08) AND NR_
Variabel Question answering Sedang(0.63) AND NR_Variabel Discipline Sedang (0.88) AND NR_ NR_
performance Sedang (0.86) AND NR_ Interaction with students Sedang (0.63) Then Penilaian Kinerja Sedang
(0.47)
7) If NR_Material Mastery Rendah (1.58) AND NR_ Describes outlining and describing Sedang (0.57) AND NR_
Variabel Question answering Rendah (1.4) AND NR_Variabel Discipline Rendah (0.88) AND NR_ NR_
performance Rendah (0.75) AND NR_ Interaction with students Rendah (1.33) Then Penilaian Kinerja Sedang
(0.57)
8) If NR_Material Mastery Sedang (0.47) AND NR_ Menjelaskan Penilaian Kinerja Menguraikan dan memaparkan
Sedang (0.57) AND NR_ Variabel Question answering Sedang (0.63) AND NR_Variabel Discipline Sedang
(0.88) AND NR_ NR_ performance Sedang (0.86) AND NR_ Interaction with students Sedang (0.63) Then
Penilaian Kinerja Sedang (0.47)
Volume 2, Issue 11, November 2013
Page 311
International Journal of Application or Innovation in Engineering & Management (IJAIEM)
Web Site: www.ijaiem.org Email: editor@ijaiem.org, editorijaiem@gmail.com
Volume 2, Issue 11, November 2013
ISSN 2319 - 4847
9) If NR_Material Mastery Rendah (1.58) AND NR_ Describes outlining and describing Rendah (1.08) AND NR_
Variabel Question answering Rendah ( 1.4) AND NR_Variabel Discipline Rendah (0.88) AND NR_ NR_
performance Rendah (0.75) AND NR_ Interaction with students Rendah(1.33) Then Then Penilaian Kinerja
Sedang (0.75)
10) If NR_Material Mastery Sedang (0.47) AND NR_ Describes outlining and describing Sedang (0.57) AND NR_
Variabel Question answering Rendah (1.4) AND NR_Variabel Discipline Sedang (0.88) AND NR_ NR_
performance Sedang (0.86) AND NR_ Interaction with students Sedang (0.63) Then Penilaian Kinerja Sedang
(0.47)
11) If NR_Material Mastery Rendah (1.58) AND NR_ Describes outlining and describing Rendah (1.08) AND NR_
Variabel Question answering Sedang (0.63) AND NR_Variabel Discipline Rendah (0.88) AND NR_ NR_
performance Rendah (0.75) AND NR_ Interaction with students Rendah (1.33) Then Then Penilaian Kinerja
Sedang (0.88)
12) If NR_Material Mastery Sedang (0.47) AND NR_ Describes outlining and describing Sedang (0.57) AND NR_
Variabel Question answering Sedang( 0.63) AND NR_Variabel Discipline Sedang (0.88) AND NR_ NR_
performance Sedang (0.86) AND NR_ Interaction with students Sedang(0.63) Then Then Penilaian Kinerja
Sedang (0.47)
13) If NR_Material Mastery Rendah (1.58) AND NR_ Describes outlining and describing Rendah (1.08) AND NR_
Variabel Question answering Rendah (1.4) AND NR_Variabel Discipline Rendah (0.88) AND NR_ NR_
performance Rendah (0.75) AND NR_ Interaction with students rendah (1.33) ThenVariabel Then Penilaian
Kinerja Sedang (0.75)
14) If NR_Material Mastery Sedang (0.47) AND NR_ Describes outlining and describing Sedang (0.57) AND NR_
Variabel Question answering Sedang (0.63) AND NR_Variabel Discipline Rendah (0.88) AND NR_ NR_
performance Sedang (0.86) AND NR_ Interaction with students Sedang (0.63) Then Then Penilaian Kinerja
Sedang (0.47)
15) If NR_Material Mastery Rendah (1.58) AND NR_ Describes outlining and describing Rendah (1.08) AND NR_
Variabel Question answering Rendah ( 1.4) AND NR_Variabel Discipline Sedang(0.88) AND NR_ NR_
performance Rendah (0.75) AND NR_ Interaction with students Rendah ( 1.33) Then Then Penilaian Kinerja
Sedang (0.75)
16) If NR_Material Mastery Sedang (0.47) AND NR_ Describes outlining and describing Sedang (0.57)AND NR_
Variabel Question answering Sedang(0.63) AND NR_Variabel Discipline Sedang(0.88) AND NR_ NR_
performance Sedang (0.86) AND NR_ Interaction with students Sedang (0.63) Then Then Penilaian Kinerja
Sedang (0.47)
17) If NR_Material Mastery Rendah (1.58) AND NR_ Describes outlining and describing Rendah(1.08) AND NR_
Variabel Question answering Rendah (1.4) AND NR_Variabel Discipline Rendah (0.88) AND NR_ NR_
performance Rendah (0.75) AND NR_ Interaction with students Rendah (1.33) Then Then Penilaian Kinerja
Sedang (0.75)
18) If NR_Material Mastery Sedang (0.47) AND NR_ Describes outlining and describing Sedang (0.57) AND NR_
Variabel Question answering Sedang (0.63) AND NR_Variabel Discipline Sedang(0.88) AND NR_ NR_
performance Rendah (0.75) AND NR_ Interaction with students Sedang(0.63) Then Then Penilaian Kinerja
Sedang (0.47)
19) If NR_Material Mastery Rendah (1.58) AND NR_ Describes outlining and describing Rendah (1.08) AND NR_
Variabel Question answering Rendah (1.4) AND NR_Variabel Discipline Rendah (0.88) AND NR_ NR_
performance Sedang (0.86) AND NR_ Interaction with students Rendah (1.33) Then Then Penilaian Kinerja
Sedang (0.86)
20) If NR_Material Mastery Sedang (0.47) AND NR_ Describes outlining and describing Sedang(0.57) AND NR_
Variabel Question answering Sedang (0.63) AND NR_Variabel Discipline Sedang(0.88) AND NR_ NR_
performance Sedang (0.86) AND NR_ Interaction with students Sedang ( 0.63) Then Then Penilaian Kinerja
Sedang (0.47)
21) If NR_Material Mastery Rendah (1.58) AND NR_ Describes outlining and describing Rendah (1.08) AND NR_
Variabel Question answering Rendah (1.4) AND NR_Variabel Discipline Rendah (0.88) AND NR_ NR_
performance Rendah (0.75) AND NR_ Interaction with students Rendah (1.33) Then Then Penilaian Kinerja
Sedang (0.75)
22) If NR_Material Mastery Sedang (0.47) AND NR_ Describes outlining and describing Sedang (0.57) AND NR_
Variabel Question answering Sedang (0.63) AND NR_Variabel Discipline Sedang(0.88) AND NR_ NR_
performance Sedang (0.86) AND NR_ Interaction with students Rendah(1.33) Then Then Penilaian Kinerja
Sedang (0.47)
23) If NR_Material Mastery Rendah (1.58) AND NR_ Describes outlining and describing Rendah (1.08) AND NR_
Variabel Question answering Rendah (1.4) AND NR_Variabel Discipline Rendah(0.88) AND NR_ NR_
Volume 2, Issue 11, November 2013
Page 312
International Journal of Application or Innovation in Engineering & Management (IJAIEM)
Web Site: www.ijaiem.org Email: editor@ijaiem.org, editorijaiem@gmail.com
Volume 2, Issue 11, November 2013
ISSN 2319 - 4847
performance Rendah (0.75)AND NR_ Interaction with students Sedang(0.63) Then Then Penilaian Kinerja
Sedang (0.63)
24) If NR_Material Mastery Sedang (0.47) AND NR_ Describes outlining and describing Sedang (0.57) AND NR_
Variabel Question answering Sedang (0.63)AND NR_Variabel Discipline Sedang(0.88) AND NR_ NR_
performance Sedang (0.86) AND NR_ Interaction with students Sedang(0.63) Then Then Penilaian Kinerja
Sedang (0.47)
25) If NR_Material Mastery Rendah (1.58)AND NR_ Describes outlining and describing Rendah (1.08)AND NR_
Variabel Question answering Rendah (1.4) AND NR_Variabel Discipline Rendah(0.88) AND NR_ NR_
performance Rendah (0.75) AND NR_ Interaction with students Rendah (1.33) Then Then Penilaian Kinerja
Sedang (0.75)
26) If NR_Material Mastery Rendah (1.58) AND NR_ Describes outlining and describing Rendah (1.08) AND NR_
Variabel Question answering Sedang (0.63) AND NR_Variabel Discipline Sedang (0.88)AND NR_ NR_
performance Sedang (0.86)
AND NR_ Interaction with students
Sedang (0.63)Then Then Penilaian
KinerjaSedang (0.63)
27)If NR_Material Mastery Sedang (0.47) AND NR_ Describes outlining and describing Sedang (0.57) AND NR_
Variabel Question answering Rendah (1.4) AND NR_Variabel Discipline Rendah(0.88) AND NR_ NR_
performance Rendah (0.75) AND NR_ Interaction with students Rendah (1.33)Then Variabel Then Penilaian
Kinerja Sedang (0.47)
28) If NR_Material Mastery Sedang (0.47) AND NR_ Describes outlining and describing Sedang(0.57) AND NR_
Variabel Question answering Sedang ( 0.63) AND NR_Variabel Discipline Sedang(0.88) AND NR_ NR_
performance Sedang(0.86) AND NR_ Interaction with students Sedang (0.63) Then Then Penilaian Kinerja
Sedang (0.47)
29) If NR_Material Mastery Rendah (1.58) AND NR_ Describes outlining and describing Rendah(1.08) AND NR_
Variabel Question answering Rendah(1.4) AND NR_Variabel Discipline Rendah (0.88) AND NR_ NR_
performance Rendah (0.75) AND NR_ Interaction with students Rendah(1.33) Then Then Penilaian Kinerja
Sedang (0.75)
30) If NR_Material Mastery Rendah (1.58) AND NR_ Describes outlining and describing Sedang (0.57) AND NR_
Variabel Question answering Rendah (1.4) AND NR_Variabel Discipline Sedang (0.88) AND NR_ NR_
performance Sedang (0.86) AND NR_ Interaction with students Sedang(0.63) Then Then Penilaian Kinerja
Sedang(0.57)
31) If NR_Material Mastery Sedang (0.47) AND NR_ Describes outlining and describing Rendah(1.08) AND NR_
Variabel Question answering Sedang (0.63) AND NR_Variabel Discipline Rendah (0.88) AND NR_ NR_
performance Rendah (0.75) AND NR_ Interaction with students Rendah (1.33) Then Then Penilaian Kinerja
Sedang (0.47)
32) If NR_Material Mastery Sedang (0.47) AND NR_ Describes outlining and describing Sedang(0.57) AND NR_
Variabel Question answering Sedang(0.63) AND NR_Variabel Discipline Sedang (0.88) AND NR_ NR_
performance Sedang (0.86) AND NR_ Interaction with students Sedang (0.63)Then Then Penilaian Kinerja
Sedang (0.47)
33) If NR_Material Mastery Rendah (1.58) AND NR_ Describes outlining and describing Rendah (1.08)AND NR_
Variabel Question answering Rendah(1.4) AND NR_Variabel Discipline Rendah (0.88)AND NR_ NR_
performance Rendah (0.75) AND NR_ Interaction with students Rendah(1.33) Then Then Penilaian Kinerja
Sedang (0.75)
34) If NR_Material Mastery Rendah (1.58) AND NR_ Describes outlining and describing Sedang (0.57) AND NR_
Variabel Question answering Sedang (0.63) AND NR_Variabel Discipline Rendah (0.88) AND NR_ NR_
performance Sedang (0.86) AND NR_ Interaction with students Sedang (0.63)Then Then Penilaian Kinerja
Sedang (0.57)
35) If NR_Material Mastery Sedang (0.47) AND NR_ Describes outlining and describing Rendah(1.08) AND NR_
Variabel Question answering Rendah (1.4) AND NR_Variabel Discipline Sedang (0.88) AND NR_ NR_
performance Rendah (0.75) AND NR_ Interaction with students Rendah (1.33) Then Then Penilaian Kinerja
Sedang (0.47)
36) If NR_Material Mastery Sedang( 0.47) AND NR_ Describes outlining and describing Sedang (0.57) AND NR_
Variabel Question answering Sedang (0.63) AND NR_Variabel Discipline Sedang(0.88) AND NR_ NR_
performance Sedang (0.86) AND NR_ Interaction with students Sedang (0.63) Then Then Penilaian Kinerja
Sedang (0.47)
37) If NR_Material Mastery Rendah (1.58)AND NR_ Describes outlining and describing Rendah(1.08) AND NR_
Variabel Question answering Rendah (1.4)AND NR_Variabel Discipline Rendah(0.88) AND NR_ NR_
performance Rendah (0.75) AND NR_ Interaction with students Rendah (1.33)Then Then Penilaian Kinerja
Sedang (0.75)
Volume 2, Issue 11, November 2013
Page 313
International Journal of Application or Innovation in Engineering & Management (IJAIEM)
Web Site: www.ijaiem.org Email: editor@ijaiem.org, editorijaiem@gmail.com
Volume 2, Issue 11, November 2013
ISSN 2319 - 4847
38) If NR_Material Mastery Rendah (1.58) AND NR_ Describes outlining and describing Sedang(0.57) AND NR_
Variabel Question answering Sedang (0.63) AND NR_Variabel Discipline Sedang(0.88) AND NR_ NR_
performance Rendah(0.75) AND NR_ Interaction with students Sedang (0.63)Then Then Penilaian Kinerja
Sedang(0.57)
39)If NR_Material Mastery Sedang(0.47) AND NR_ Describes outlining and describing Rendah (0.57)AND NR_
Variabel Question answering Rendah (1.4) AND NR_Variabel Discipline Rendah (0.88) AND NR_ NR_
performance Sedang (0.86) AND NR_ Interaction with students Rendah(1.33) Then Then Penilaian Kinerja
Sedang (0.47)
40) If NR_Material Mastery Sedang(0.47) AND NR_ Describes outlining and describing Sedang (0.57) AND NR_
Variabel Question answering Sedang(0.63) AND NR_Variabel Discipline Sedang (0.88) AND NR_ NR_
performance Sedang (0.86) AND NR_ Interaction with students Sedang(0.63) Then Then Penilaian Kinerja
Sedang (0.47)
41) If NR_Material Mastery Rendah(1.58) AND NR_ Describes outlining and describing Rendah(1.08) AND NR_
Variabel Question answering Rendah (1.4)AND NR_Variabel Discipline Rendah(0.88) AND NR_ NR_
performance Rendah (0.75) AND NR_ Interaction with students Rendah (1.33)Then Then Penilaian Kinerja
Sedang (0.75)
42) If NR_Material Mastery Rendah (1.58)AND NR_ Describes outlining and describing Sedang(0.57) AND NR_
Variabel Question answering Sedang (0.63) AND NR_Variabel Discipline Sedang(0.88) AND NR_ NR_
performance Sedang(0.86) AND NR_ Interaction with students Rendah (1.33)Then Then Penilaian Kinerja
Sedang (0.57)
43) If NR_Material Mastery Sedang(0.47) AND NR_ Describes outlining and describing Rendah (1.08)AND NR_
Variabel Question answering Rendah(1.4) AND NR_Variabel Discipline Rendah(0.88) AND NR_ NR_
performance Rendah(0.75) AND NR_ Interaction with students Sedang (0.63)Then Then Penilaian Kinerja
Sedang (0.47)
44) If NR_Material Mastery Sedang (0.47) AND NR_ Describes outlining and describing Sedang (0.57) AND NR_
Variabel Question answering Sedang (0.63) AND NR_Variabel Discipline Sedang (0.88) AND NR_ NR_
performance Sedang (0.86) AND NR_ Interaction with students Sedang(0.63) Then Then Penilaian Kinerja
Sedang (0.47)
45) If NR_Material Mastery Rendah (1.58) AND NR_ Describes outlining and describing Rendah (1.08)AND NR_
Variabel Question answering rendah(1.4) AND NR_Variabel Discipline Rendah(0.88) AND NR_ NR_
performance Rendah ( 0.75)AND NR_ Interaction with students Rendah(1.33) Then Then Penilaian Kinerja
Sedang (0.75)
46) If NR_Material Mastery Sedang(0.47) AND NR_ Describes outlining and describing Rendah(1.08) AND NR_
Variabel Question answering Rendah (1.4)AND NR_Variabel Discipline Sedang (0.88) AND NR_ NR_
performance Sedang (0.86) AND NR_ Interaction with students Sedang(0.63) Then Then Penilaian Kinerja
Sedang (0.47)
47) If NR_Material Mastery Rendah (1.58) AND NR_ Describes outlining and describing Sedang(0.57) AND NR_
Variabel Question answering Sedang(0.63) AND NR_Variabel Discipline Rendah (0.88) AND NR_ NR_
performance Rendah (0.75) AND NR_ Interaction with students Rendah(1.33) Then Then Penilaian Kinerja
Sedang(0.57)
48) If NR_Material Mastery Sedang (0.47) AND NR_ Describes outlining and describing Sedang(0.57) AND NR_
Variabel Question answering Sedang(0.63) AND NR_Variabel Discipline Sedang (0.88) AND NR_ NR_
performance Sedang (0.86) AND NR_ Interaction with students Sedang (0.63)Then Then Penilaian Kinerja
Sedang (0.47)
49) If NR_Material Mastery Rendah(1.58) AND NR_ Describes outlining and describing Rendah(1.08) AND NR_
Variabel Question answering Rendah(1.4) AND NR_Variabel Discipline Rendah (0.88) AND NR_ NR_
performance Rendah (0.75) AND NR_ Interaction with students Rendah (1.33)Then Then Penilaian Kinerja
Sedang (0.75)
50) If NR_Material Mastery Sedang (0.47) AND NR_ Describes outlining and describing Rendah (1.08)AND NR_
Variabel Question answering Sedang(0.63) AND NR_Variabel Discipline Rendah (0.88) AND NR_ NR_
performance Sedang (0.86) AND NR_ Interaction with students Sedang(0.63) Then Then Penilaian Kinerja
Sedang (0.47)
51) If NR_Material Mastery Rendah(1.58) AND NR_ Describes outlining and describing Sedang (0.57) AND NR_
Variabel Question answering Rendah(1.4) AND NR_Variabel Discipline Sedang(0.88) AND NR_ NR_
performance Rendah(0.75) AND NR_ Interaction with students Rendah (1.33) Then Penilaian Kinerja Sedang
(0.57)
52) If NR_Material Mastery Sedang (0.47) AND NR_ Describes outlining and describing Sedang(0.57) AND NR_
Variabel Question answering Sedang(0.63) AND NR_Variabel Discipline Sedang(0.88) AND NR_ NR_
Volume 2, Issue 11, November 2013
Page 314
International Journal of Application or Innovation in Engineering & Management (IJAIEM)
Web Site: www.ijaiem.org Email: editor@ijaiem.org, editorijaiem@gmail.com
Volume 2, Issue 11, November 2013
ISSN 2319 - 4847
performance Sedang (0.86) AND NR_ Interaction with students Sedang (0.63) Then Then Penilaian Kinerja
Sedang (0.47)
53) If NR_Material Mastery Rendah (1.58) AND NR_ Describes outlining and describing Rendah (1.08) AND NR_
Variabel Question answering Rendah (1.4) AND NR_Variabel Discipline Rendah(0.88) AND NR_ NR_
performance Rendah (0.75)AND NR_ Interaction with students Rendah(1.33) Then Then Penilaian Kinerja
Sedang (0.75)
54) If NR_Material Mastery Sedang (0.47) AND NR_ Describes outlining and describing Rendah(1.08) AND NR_
Variabel Question answering Sedang (0.63) AND NR_Variabel Discipline Sedang (0.88) AND NR_ NR_
performance Rendah (0.75) AND NR_ Interaction with students Sedang (0.63) Then Then Penilaian Kinerja
Sedang (0.47)
55) If NR_Material Mastery Rendah (1.58) AND NR_ Describes outlining and describing Sedang(0.57) AND NR_
Variabel Question answering Rendah (1.4) AND NR_Variabel Discipline rendah (0.88) AND NR_ NR_
performance Sedang (0.86) AND NR_ Interaction with students Rendah (1.33) Then Then Penilaian Kinerja
Sedang (0.57)
56) If NR_Material Mastery Sedang (0.47) AND NR_ Describes outlining and describing Sedang(0.57) AND NR_
Variabel Question answering Sedang(0.63) AND NR_Variabel Discipline Sedang (0.88) AND NR_ NR_
performance Sedang (0.86) AND NR_ Interaction with students Sedang (0.63) Then Then Penilaian Kinerja
Sedang (0,47)
57) If NR_Material Mastery Rendah (1.58) AND NR_ Describes outlining and describing Rendah(1.08) AND NR_
Variabel Question answering Rendah(1.4) AND NR_Variabel Discipline rendah(0.88) AND NR_ NR_
performance Rendah (0.75) AND NR_ Interaction with students Rendah( 1.33) Then Then Penilaian Kinerja
Sedang (0.75)
58) If NR_Material Mastery Sedang ( 0.47) AND NR_ Describes outlining and describing Rendah(1.08) AND NR_
Variabel Question answering Sedang (0.63) AND NR_Variabel Discipline Sedang(0.88) AND NR_ NR_
performance Sedang (0.86) AND NR_ Interaction with students Rendah(1.33) Then Then Penilaian Kinerja
Sedang (0.47)
59) If NR_Material Mastery Rendah ( 1.58) AND NR_ Describes outlining and describing Sedang( 0.57) AND NR_
Variabel Question answering Rendah (1.4) AND NR_Variabel Discipline Rendah (0.88) AND NR_ NR_
performance Rendah (0.75)AND NR_ Interaction with students Sedang (0.63) Then Then Penilaian Kinerja
Sedang (0.57)
60) If NR_Material Mastery Sedang (0.47) AND NR_ Describes outlining and describing Sedang(0.57) AND NR_
Variabel Question answering Sedang(0.63) AND NR_Variabel Discipline Sedang (0.88) AND NR_ NR_
performance Sedang (0.86) AND NR_ Interaction with students Sedang (0.63) Then Then Penilaian Kinerja
Sedang (0.47)
61) If NR_Material Mastery Rendah( 1.58) AND NR_ Describes outlining and describing Rendah(1.08) AND NR_
Variabel Question answering rendah (1.4) AND NR_Variabel Discipline Rendah (0.88) AND NR_ NR_
performance Rendah(0.75) AND NR_ Interaction with students Rendah ( 1.33) Then Then Penilaian Kinerja
Sedang (0.75)
62) If NR_Material Mastery Sedang (0.47)AND NR_ Describes outlining and describing Sedang (0.57) AND NR_
Variabel Question answering Rendah(1.4) AND NR_Variabel Discipline Rendah (0.88) AND NR_ NR_
performance Sedang (0.86) AND NR_ Interaction with students Sedang (0.63) Then Then Penilaian Kinerja
Sedang (0.47)
63) If NR_Material Mastery Rendah (1.58) AND NR_ Describes outlining and describing Rendah(1.08) AND NR_
Variabel Question answering Sedang (0.63)AND NR_Variabel Discipline Sedang(0.88) AND NR_ NR_
performance Rendah (0.75) AND NR_ Interaction with students Rendah(1.33) Then Then Penilaian Kinerja
Sedang (0.63)
66) If NR_Material Mastery Sedang(0.47) AND NR_ Describes outlining and describing Sedang (0.57) AND NR_
Variabel Question answering Sedang (0.63)AND NR_Variabel Discipline Sedang(0.88) AND NR_ NR_
performance Sedang (0.86) AND NR_ Interaction with students Sedang (0.63) Then Then Penilaian Kinerja
Sedang (0.47)
67) If NR_Material Mastery Rendah ( 1.58) AND NR_ Describes outlining and describing Rendah(1.08) AND NR_
Variabel Question answering Rendah (1.4) AND NR_Variabel Discipline Rendah(0.88) AND NR_ NR_
performance Rendah(0.75) AND NR_ Interaction with students Rendah (1.33) Then Then Penilaian Kinerja
Sedang (0.75)
68) If NR_Material Mastery Sedang( 0.47) AND NR_ Describes outlining and describing Sedang(0.57) AND NR_
Variabel Question answering Rendah (1.4) AND NR_Variabel Discipline Sedang( 0.88) AND NR_ NR_
performance Rendah (0.75) AND NR_ Interaction with students Sedang (0.63) Then Penilaian Kinerja Sedang
(0.47)
Volume 2, Issue 11, November 2013
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International Journal of Application or Innovation in Engineering & Management (IJAIEM)
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Volume 2, Issue 11, November 2013
ISSN 2319 - 4847
69) If NR_Material Mastery Rendah ( 1.58) AND NR_ Describes outlining and describing Rendah (1.08) AND NR_
Variabel Question answering Sedang(0.63) AND NR_Variabel Discipline Rendah(0.88) AND NR_ NR_
performance Sedang(0.86) AND NR_ Interaction with students Rendah(1.33) Then Then Penilaian Kinerja
Sedang (0.63)
70)If NR_Material Mastery Sedang (0.47)AND NR_ Describes outlining and describing Sedang (0.57) AND NR_
Variabel Question answering Sedang (0.63)AND NR_Variabel Discipline Sedang(0.88) AND NR_ NR_
performance Sedang(0.86) AND NR_ Interaction with students Sedang(0.63) Then Then Penilaian Kinerja
Sedang (0.47)
71) If NR_Material Mastery Rendah (1.58) AND NR_ Describes outlining and describing Rendah(1.08) AND NR_
Variabel Question answering Rendah(1.4) AND NR_Variabel Discipline rendah(0.88) AND NR_ NR_
performance Rendah (0.75) AND NR_ Interaction with students Rendah ( 1.33) Then Then Penilaian Kinerja
Sedang (0.75)
72) If NR_Material Mastery Sedang (0.47) AND NR_ Describes outlining and describing Sedang(0.57) AND NR_
Variabel Question answering Rendah(0.63) AND NR_Variabel Discipline Sedang(0.88) AND NR_ NR_
performance Sedang (0.86) AND NR_ Interaction with students Rendah (1.33) Then Then Penilaian Kinerja
Sedang (0.47)
73) If NR_Material Mastery Rendah (1.58) AND NR_ Describes outlining and describing Rendah(0.57) AND NR_
Variabel Question answering Sedang (0.63) AND NR_Variabel Discipline Rendah(0.88) AND NR_ NR_
performance Rendah (0.75) AND NR_ Interaction with students Sedang(0.63) Then Then Penilaian Kinerja
Sedang (0.57)
74) If NR_Material Mastery Sedang(0.47) AND NR_ Describes outlining and describing Sedang(0.57) AND NR_
Variabel Question answering Sedang (0.63) AND NR_Variabel Discipline Sedang(0.88) AND NR_ NR_
performance Sedang (0.86) AND NR_ Interaction with students Sedang (0.63) Then Then Penilaian Kinerja
Sedang (0.47)
75) If NR_Material Mastery Rendah (1.58) AND NR_ Describes outlining and describing Rendah(1.08) AND NR_
Variabel Question answering Rendah (1.4) AND NR_Variabel Discipline Rendah(0.88) AND NR_ NR_
performance Rendah(0.75) AND NR_ Interaction with students Rendah(1.33) Then Then Penilaian Kinerja
Sedang (0.75)
76) If NR_Material Mastery Sedang(0.47) AND NR_ Describes outlining and describing Sedang (0.57) AND NR_
Variabel Question answering Sedang (0.63) AND NR_Variabel Discipline Rendah (0.88)AND NR_ NR_
performance Rendah (0.75) AND NR_ Interaction with students Sedang (0.63) Then Then Penilaian Kinerja
Sedang (0.47)
77) If NR_Material Mastery Rendah( 1.58) AND NR_ Describes outlining and describing Rendah(1.08) AND NR_
Variabel Question answering Rendah (1.4)AND NR_Variabel Discipline Sedang (0.88) AND NR_ NR_
performance Sedang (0.86) AND NR_ Interaction with students Rendah(1.33) Then Then Penilaian Kinerja
Sedang (0.75)
78) If NR_Material Mastery Sedang (0.47) AND NR_ Describes outlining and describing Sedang(0.57) AND NR_
Variabel Question answering Sedang(0.63) AND NR_Variabel Discipline Sedang(0.88) AND NR_ NR_
performance Sedang(0.86) AND NR_ Interaction with students Sedang (0.63) Then Then Penilaian Kinerja
Sedang (0.47)
79) If NR_Material Mastery Rendah (1.58) AND NR_ Describes outlining and describing Rendah(1.08) AND NR_
Variabel Question answering Rendah (1.4)AND NR_Variabel Discipline Rendah (0.88) AND NR_ NR_
performance Rendah(0.75) AND NR_ Interaction with students Rendah (1.33) Then Then Penilaian Kinerja
Sedang (0.75)
80) If NR_Material Mastery Sedang(0.47) AND NR_ Describes outlining and describing Sedang (0.57) AND NR_
Variabel Question answering Sedang (0.63) AND NR_Variabel Discipline Rendah(0.88) AND NR_ NR_
performance Sedang (0.86) AND NR_ Interaction with students Rendah (1.33) Then Then Penilaian Kinerja
Sedang (0.47)
81) If NR_Material Mastery Rendah(1.58) AND NR_ Describes outlining and describing Rendah(1.08) AND NR_
Variabel Question answering Rendah (1.4) AND NR_Variabel Discipline Sedang (0.88) AND NR_ NR_
performance Rendah(0.75) AND NR_ Interaction with students Sedang(0.63) Then Then Penilaian Kinerja
Sedang (0.75)
82) If NR_Material Mastery Sedang (0.47) AND NR_ Describes outlining and describing Sedang(0.57) AND NR_
Variabel Question answering Sedang(0.63) AND NR_Variabel Discipline Sedang(0.88) AND NR_ NR_
performance Sedang(0.86) AND NR_ Interaction with students Sedang(0.63) Then Then Penilaian Kinerja
Sedang (0.47)
83) If NR_Material Mastery Rendah (1.58) AND NR_ Describes outlining and describing Rendah(1.08) AND NR_
Variabel Question answering Rendah( 1.4) AND NR_Variabel Discipline Rendah (0.88) AND NR_ NR_
Volume 2, Issue 11, November 2013
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International Journal of Application or Innovation in Engineering & Management (IJAIEM)
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Volume 2, Issue 11, November 2013
ISSN 2319 - 4847
performance Rendah (0.75) AND NR_ Interaction with students Rendah(1.33) Then Then Penilaian Kinerja
Sedang (0.75)
84) If NR_Material Mastery Sedang(0.47) AND NR_ Describes outlining and describing Sedang(0.57) AND NR_
Variabel Question answering Sedang (0.63) AND NR_Variabel Discipline Sedang(0.88) AND NR_ NR_
performance Rendah (0.75) AND NR_ Interaction with students Rendah (1.33) Then Then Penilaian Kinerja
Sedang (0.47)
85) If NR_Material Mastery Rendah (1.58) AND NR_ Describes outlining and describing Rendah(1.08) AND NR_
Variabel Question answering Rendah(1.4) AND NR_Variabel Discipline Rendah(0.88) AND NR_ NR_
performance Sedang (0.86) AND NR_ Interaction with students Sedang(0.63) Then Then Penilaian Kinerja
Sedang (0.63)
86) If NR_Material Mastery Sedang (0.47) AND NR_ Describes outlining and describing Sedang(0.57) AND NR_
Variabel Question answering Sedang(0.63) AND NR_Variabel Discipline Sedang(0.88) AND NR_ NR_
performance Sedang(0.86) AND NR_ Interaction with students Sedang (0.63) Then Then Penilaian Kinerja
Sedang (0.47)
87) If NR_Material Mastery Rendah (1.58) AND NR_ Describes outlining and describing Rendah (1.08) AND NR_
Variabel Question answering Rendah(1.4) AND NR_Variabel Discipline Rendah(0.88) AND NR_ NR_
performance Rendah (0.75) AND NR_ Interaction with students Rendah(1.33) Then Then Penilaian Kinerja
Sedang (0.75)
88) If NR_Material Mastery Rendah (1.58) AND NR_ Describes outlining and describing Rendah(1.08) AND NR_
Variabel Question answering Rendah(1.4) AND NR_Variabel Discipline Sedang((0.88) AND NR_ NR_
performance Sedang (0.86) AND NR_ Interaction with students Sedang (0.63) Then Then Penilaian Kinerja
Sedang (0.63)
89) If NR_Material Mastery Sedang (0.47) AND NR_ Describes outlining and describing Sedang (0.57) AND NR_
Variabel Question answering Sedang (0.63)AND NR_Variabel Discipline Rendah(0.88) AND NR_ NR_
performance Rendah (0.75) AND NR_ Interaction with students Rendah (1.33) The Then Penilaian Kinerja
Sedang (0.75)
90) If NR_Material Mastery Sedang (0.47)AND NR_ Describes outlining and describing Sedang(0.57) AND NR_
Variabel Question answering Sedang(0.63) AND NR_Variabel Discipline Sedang(0.88) AND NR_ NR_
performance Sedang(0.86) AND NR_ Interaction with students Sedang (0.63) Then Then Penilaian Kinerja
Sedang (0.47)
91) If NR_Material Mastery Rendah(1.58) AND NR_ Describes outlining and describing Rendah (1.08)AND NR_
Variabel Question answering Rendah (1.4)AND NR_Variabel Discipline Rendah(0.88) AND NR_ NR_
performance Rendah(0.75) AND NR_ Interaction with students Rendah (1.33) Then Then Penilaian Kinerja
Sedang (0.75)
92) If NR_Material Mastery Sedang(1.58) AND NR_ Describes outlining and describing Sedang (0.57) AND NR_
Variabel Question answering Sedang(0.63) AND NR_Variabel Discipline Rendah(0.88) AND NR_ NR_
performance Rendah(0.75) AND NR_ Interaction with students Rendah (1.33) Then Then Penilaian Kinerja
Sedang (0.75)
91) If NR_Material Mastery Rendah (1.58) AND NR_ Describes outlining and describing Rendah (1.08) AND NR_
Variabel Question answering Rendah(1.4) AND NR_Variabel Discipline Sedang(0.88) AND NR_ NR_
performance Sedang(0.86) AND NR_ Interaction with students Sedang (0.63)Then Then Penilaian Kinerja
Sedang (0,63)
92) If NR_Material Mastery Sedang (0.47) AND NR_ Describes outlining and describing Sedang (0.57) AND NR_
Variabel Question answering Sedang(0.63) AND NR_Variabel Discipline Sedang(0.88) AND NR_ NR_
performance Sedang(0.86) AND NR_ Interaction with students Sedang (0.63) Then Then Penilaian Kinerja
Sedang (0.47)
Based on the above calculation , obtained 92 linguistic values with different degrees of membership values , namely :
1 ) Performance Assessment Medium ( 0.75 )
2 ) Assessment Performance Medium ( 0:57 )
3) Performance Medium ( 0:47 )
4 ) Performance Assessment Medium ( 0.47)
5 ) Performance Assessment Medium ( 0.75 )
6) Performance Medium ( 0:47 )
7 ) Assessment Performance Medium ( 0:57 )
8 ) Assessment Performance Medium ( 0:47 )
9 ) Performance Assessment Medium ( 0.75 )
10 ) Performance Assessment Medium ( 0.47)
Volume 2, Issue 11, November 2013
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International Journal of Application or Innovation in Engineering & Management (IJAIEM)
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Volume 2, Issue 11, November 2013
ISSN 2319 - 4847
11 ) Performance Assessment Medium ( 0.88 )
12 Assessment of Performance Medium ( 0:47 )
13 ) Performance Assessment Medium ( 0.75 )
14 ) Performance Assessment Medium ( 0.47)
15 ) Performance Assessment Medium ( 0.75 )
16 ) Assessment Performance Medium ( 0:47 )
17 ) Performance Assessment Medium ( 0.75 )
18 ) Performance Assessment Medium ( 0.47)
19 ) Performance Assessment Medium ( 0.86 )
20 ) Assessment Performance Medium ( 0:47 )
21 ) Performance Assessment Medium ( 0.75 )
22 ) Performance Assessment Medium ( 0.47)
23 ) Performance Assessment Medium ( 0.63 )
24 ) Performance Assessment Medium ( 0.47)
25 ) Performance Assessment Medium ( 0.75 )
26 ) Performance Assessment Medium ( 0.63 )
27 ) Performance Assessment Medium ( 0.47)
28 ) Performance Assessment Medium ( 0.47)
29 ) Performance Assessment Medium ( 0.88 )
30 ) Medium Performance Assessment . ( 0.57)
31 ) Performance Assessment Medium ( 0.47)
32 ) Performance Assessment Medium ( 0.47)
33 ) Performance Assessment Medium ( 0.75 )
34 ) Performance Assessment Medium ( 0.57)
35 ) Performance Assessment Medium ( 0.47 )
36 ) Performance Assessment Medium ( 0.47)
37 ) Performance Assessment Medium ( 0.75 )
38 ) Performance Assessment Medium ( 0.57)
39 ) Assessment Performance Medium ( 0:47 )
40 ) Performance Assessment Medium ( 0.47)
41 ) Performance Assessment Medium ( 0.75 )
42 ) Performance Assessment Medium ( 0.57)
43 ) Assessment Performance Medium ( 0:47 )
44 ) Assessment Performance Medium ( 0:47 )
45 ) Performance Assessment Medium ( 0.75 )
46 ) Performance Assessment Medium ( 0.63 )
47 ) Assessment Performance Medium ( 0:57 )
48 ) Assessment Performance Medium ( 0:47 )
49 ) Performance Assessment Medium ( 0.75 )
50 ) Performance Assessment Medium ( 0.47)
51 ) Performance Assessment Medium ( 0.57)
52 ) Assessment Performance Medium ( 0:47 )
53 ) Performance Assessment Medium ( 0.75 )
54 ) Assessment Performance Medium ( 0:47 )
55 ) Performance Assessment Medium ( 0.57)
56 ) Performance Assessment Medium ( 0.47 )
57 ) Performance Assessment Medium ( 0.75 )
58 ) Assessment Performance Medium ( 0:47 )
59 ) Performance Assessment Medium ( 0.57)
60 ) Performance Assessment Medium ( 0.47)
61 ) Performance Assessment Medium ( 0.75 )
62 ) Assessment Performance Medium ( 0:47 )
63 ) Performance Assessment Medium ( 0.63 )
66 ) Assessment Performance Medium ( 0:47 )
67 ) Performance Assessment Medium ( 0.75 )
68 ) Assessment Performance Medium ( 0:47 )
69 ) Performance Assessment Medium ( 0.63 )
70 ) Performance Assessment Medium ( 0.47)
71 ) Performance Assessment Medium ( 0.75 )
Volume 2, Issue 11, November 2013
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Volume 2, Issue 11, November 2013
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72 ) Assessment Performance Medium ( 0:47 )
73 ) Assessment Performance Medium ( 0:57 )
74 ) Assessment Performance Medium ( 0:47 )
75 ) Performance Assessment Medium ( 0.75 )
76 ) Assessment Performance Medium ( 0:47 )
77 ) Performance Assessment Medium ( 0.75 )
78 ) Assessment Performance Medium ( 0:47 )
79 ) Performance Assessment Medium ( 0.75 )
80 ) Performance Assessment Medium ( 0.47)
81 ) Performance Assessment Medium ( 0.75 )
82 ) Performance Assessment Medium ( 0.47 )
83 ) Performance Assessment Medium ( 0.75 )
84 ) Assessment Performance Medium ( 0:47 )
85 ) Performance Assessment Medium ( 0.63 )
86 ) Performance Assessment Medium ( 0.47 )
87 ) Performance Assessment Medium ( 0.75 )
88 ) Performance Assessment Medium ( 0.63 )
89 ) Performance Assessment Medium ( 0.75 )
90 ) Performance Assessment Medium ( 0.47)
91 ) Performance Assessment Medium ( 0.75 )
92 ) Performance Assessment Medium ( 0.75 )
91 ) Performance Assessment Medium ( 0.63 )
92 ) Performance Assessment Medium ( 0.47 )
The next step is, using the rule disjunction (V) to determine the maximum value of the membership degree of linguistic
values associated:
Medium Performance Assessment (0.47)
Medium Performance Assessment (0.57)
Medium Performance Assessment (0.63)
Medium Performance Assessment (0.88)
Medium Performance Assessment (0.75)
Medium Performance Assessment (0.63)
The next step is, using the rule disjunction (V) to determine the maximum value of the membership degree of linguistic
values associated:
• Performance Assessment Department is moderate (0.47) ᴠ Performance Assessment Lecturer moderate (0.57) v Medium
Performance Assessment (0.63) v Performance Assessment Lecturer medium (0.88) v Performance Assessment Lecturer
medium (0.75) v Performance Assessment Lecturer medium (0.63) generated Ratings faculty performance was (0.88)
By using the process of clipping on Mamdani, 3 fuzzy sets can be described in graphic form in accordance with variable
degrees of membership in accordance with the departments of Lecturer Performance Assessment being, Assessment of
faculty performance is good and very good performance assessment
Testing of the other data then done using tools Fuzzy inference System (FIS) in MATLAB and obtained the following
results:
No.
RATA – RATA URAIAN YANG DINILAI
Nama Dosen
1
2
3
4
5
6
Outp
ut
1
Yanto Adjie Setya, SE., M.Si.
4,19
3,81
4,06
3,66
3,75
4,00
3,84
2
Irwan Agustiansyah, S.Pd., M.Hum.
3,97
3,84
3,94
3,75
3,88
3,81
3,86
3
H. Uus Muhammad Husain, Lc.
4,29
4,06
4,12
4,06
4,00
4,18
3,88
4
Nana Umdiana, SE.
4,45
4,36
4,33
3,70
4,15
3,88
3,85
Volume 2, Issue 11, November 2013
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Volume 2, Issue 11, November 2013
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5
Sulasno, SH., M.Hum.
3,84
3,24
3,76
4,28
3,80
3,32
3,8
6
H. Anizir Ali Murad, SE., MM.
3,97
4,03
4,00
4,19
4,29
4,16
3,87
7
Imam Fauzi, M.Pd
4,62
4,50
4,59
4,76
4,71
4,35
3,96
8
Shodik Nuryadhin, S.Kom.
4,03
3,78
3,75
3,50
3,88
3,88
3,83
9
Bohari Muslim, M.Pd.
4,57
4,24
4,24
3,57
4,33
4,43
3,84
10
Drs. Rustaman Ridwan
4,00
3,45
3,64
4,23
3,86
3,95
3,78
11
Santi Octaviani, SE., M.Ak
3,05
2,48
2,86
1,86
3,19
3,19
3,78
12
Boy Perihatin, S.Pd.
2,25
2,25
1,88
1,88
2,00
1,88
3,92
13
Deviyantoro, SE., MM.
3,86
3,29
3,52
4,14
3,67
3,90
3,78
14
Rafiudin, S.Ag., M.Si
4,06
3,71
3,63
3,94
3,97
3,26
3,80
15
Hendriyastuti, S.Pd., M.Pd
3,96
3,60
3,84
4,00
4,00
3,68
3,82
16
M. Taufik Harsana, S.Kom.
4,64
4,45
4,32
4,68
4,36
4,23
3,93
17
Syifa Sulfiah, S.Si., MM.
4,40
4,00
4,30
3,60
4,20
3,60
3,84
18
Dayat Hidayat, SE., M.Akt.
4,35
4,22
4,48
4,00
4,35
4,35
3,89
19
Kodriyah, S.Pd.
4,31
4,19
4,19
3,94
3,75
4,00
3,84
20
H. Ade Manggala, SE., M.Akt.
4,13
3,84
4,03
3,87
4,10
3,94
3,86
21
Drs. Bambang Setiadi
3,94
3,61
3,65
3,23
3,68
3,45
3,79
22
Drs. Abdul Fatah, MM.
3,74
3,37
3,37
3,79
3,68
3,26
3,77
23
Join Satria, SE., MM.
4,42
3,96
4,25
4,08
4,00
4,42
3,88
24
Sayifullah, SE., M.Akt
4,30
4,00
4,11
4,11
4,19
4,33
3,89
25
M. Johan Widikusyanto, M.Sc
3,82
3,82
3,77
3,73
4,09
3,32
3,81
26
Erma Perwitasari, M.Pd.
3,59
3,17
3,17
2,59
3,24
3,00
3,75
27
Jainul Abidin, SE., M.Si.
4,53
4,53
4,30
4,67
4,20
4,30
3,91
28
Ir. H. Eddy Nugroho
4,32
4,14
4,09
4,05
4,09
4,23
3,89
29
Deni Hermana, SE., MM
4,38
4,28
4,31
4,00
4,50
4,31
3,89
30
Denny Putri Hapsari, SE
3,19
2,90
3,19
2,14
2,90
2,71
3,77
31
Ir. H. Zaenal Abidin Afifi, MM
3,59
3,18
3,41
3,62
3,71
3,41
3,80
32
Dr. Mahdani
3,53
3,37
3,47
3,79
3,47
3,79
3,77
33
Imam Abu Hanifah, SE., M.Akt.
4,30
4,00
4,22
4,04
4,07
4,19
3,89
34
Eka Satia Laksmana, S.Sos.
3,59
3,12
3,35
3,18
3,24
3,00
3,75
35
Karkono, SE., MM.
4,08
4,00
4,13
3,83
3,75
4,13
3,84
36
Restu Wahyuni, S.Sos.
3,43
3,00
3,22
2,09
3,48
2,87
3,77
37
As'ary, SS., M.Hum
4,07
3,88
3,93
4,12
4,00
3,84
3,87
38
Suhud, S.Kom.
4,05
3,91
3,93
4,09
4,00
3,84
3,88
39
Roy Ritonga, M.Kom.
3,60
3,60
3,60
3,20
3,40
3,20
3,77
40
Muizzudin, SE., MM.
4,00
3,50
3,67
3,67
3,67
3,17
3,78
41
Oji Fauzi, M.Pd.
4,24
4,00
4,04
3,08
3,84
4,12
3,77
42
Syamsudin, S.Si., MM.
4,14
3,76
3,62
4,38
3,95
3,71
3,84
43
Abdul Halim, S.Kom.
4,31
4,13
3,94
4,56
4,38
4,13
3,89
44
Achmad Firdaus, MM.
2,15
1,96
2,04
1,42
2,00
1,77
3,95
Figure. 5.8 Variaabel ouput Kinerja dosen
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Volume 2, Issue 11, November 2013
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Figure. 5.9 Variaabel Material matery
Figure. 5.10 Variaabel describes outlining and describing
Figure. 5.11 Variaabel question answering
Figure. 5.12 Variaabel Performance
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Volume 2, Issue 11, November 2013
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Figure. 5.13 Variaabel Interaction with students
Figure. 5.14 variabel lecturers performance appraisal
Figure. 5.15 Fuzzyfication
No.
RATA – RATA URAIAN YANG DINILAI
Output
Nama Dosen
1
2
3
Yanto Adjie Setya, SE.,
M.Si.
Irwan Agustiansyah, S.Pd.,
M.Hum.
H. Uus Muhammad Husain,
Lc.
1
2
3
4
5
6
4,19
3,81
4,06
3,66
3,75
4,00
3,97
3,84
3,94
3,75
3,88
3,81
4,29
4,06
4,12
4,06
4,00
4,18
Good
Good
Good
4
Nana Umdiana, SE.
4,45
4,36
4,33
3,70
4,15
3,88
Good
5
Sulasno, SH., M.Hum.
3,84
3,24
3,76
4,28
3,80
3,32
Good
6
H. Anizir Ali Murad, SE.,
MM.
3,97
4,03
4,00
4,19
4,29
4,16
7
Imam Fauzi, M.Pd
4,62
4,50
4,59
4,76
4,71
4,35
Good
8
Shodik Nuryadhin, S.Kom.
4,03
3,78
3,75
3,50
3,88
3,88
Good
9
Bohari Muslim, M.Pd.
4,57
4,24
4,24
3,57
4,33
4,43
Good
10
Drs. Rustaman Ridwan
4,00
3,45
3,64
4,23
3,86
3,95
Good
11
Santi Octaviani, SE., M.Ak
3,05
2,48
2,86
1,86
3,19
3,19
Good
12
Boy Perihatin, S.Pd.
2,25
2,25
1,88
1,88
2,00
1,88
Good
13
Deviyantoro, SE., MM.
3,86
3,29
3,52
4,14
3,67
3,90
Good
Volume 2, Issue 11, November 2013
Good
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International Journal of Application or Innovation in Engineering & Management (IJAIEM)
Web Site: www.ijaiem.org Email: editor@ijaiem.org, editorijaiem@gmail.com
Volume 2, Issue 11, November 2013
ISSN 2319 - 4847
14
Rafiudin, S.Ag., M.Si
4,06
3,71
3,63
3,94
3,97
3,26
Good
15
Hendriyastuti, S.Pd., M.Pd
3,96
3,60
3,84
4,00
4,00
3,68
Good
16
M. Taufik Harsana, S.Kom.
4,64
4,45
4,32
4,68
4,36
4,23
Good
17
Syifa Sulfiah, S.Si., MM.
4,40
4,00
4,30
3,60
4,20
3,60
Good
18
Dayat Hidayat, SE., M.Akt.
4,35
4,22
4,48
4,00
4,35
4,35
Good
19
Kodriyah, S.Pd.
4,31
4,19
4,19
3,94
3,75
4,00
Good
20
H. Ade Manggala, SE.,
M.Akt.
4,13
3,84
4,03
3,87
4,10
3,94
21
Drs. Bambang Setiadi
3,94
3,61
3,65
3,23
3,68
3,45
Good
22
Drs. Abdul Fatah, MM.
3,74
3,37
3,37
3,79
3,68
3,26
Good
23
Join Satria, SE., MM.
4,42
3,96
4,25
4,08
4,00
4,42
Good
24
Sayifullah, SE., M.Akt
4,30
4,00
4,11
4,11
4,19
4,33
Good
25
M. Johan Widikusyanto,
M.Sc
3,82
3,82
3,77
3,73
4,09
3,32
26
Erma Perwitasari, M.Pd.
3,59
3,17
3,17
2,59
3,24
3,00
Good
27
Jainul Abidin, SE., M.Si.
4,53
4,53
4,30
4,67
4,20
4,30
Good
28
Ir. H. Eddy Nugroho
4,32
4,14
4,09
4,05
4,09
4,23
Good
29
Deni Hermana, SE., MM
4,38
4,28
4,31
4,00
4,50
4,31
Good
30
Denny Putri Hapsari, SE
3,19
2,90
3,19
2,14
2,90
2,71
Good
31
Ir. H. Zaenal Abidin Afifi,
MM
3,59
3,18
3,41
3,62
3,71
3,41
32
Dr. Mahdani
3,53
3,37
3,47
3,79
3,47
3,79
33
Imam Abu Hanifah, SE.,
M.Akt.
4,30
4,00
4,22
4,04
4,07
4,19
34
Eka Satia Laksmana, S.Sos.
3,59
3,12
3,35
3,18
3,24
3,00
Good
35
Karkono, SE., MM.
4,08
4,00
4,13
3,83
3,75
4,13
Good
36
Restu Wahyuni, S.Sos.
3,43
3,00
3,22
2,09
3,48
2,87
Good
37
As'ary, SS., M.Hum
4,07
3,88
3,93
4,12
4,00
3,84
Good
38
Suhud, S.Kom.
4,05
3,91
3,93
4,09
4,00
3,84
Good
39
Roy Ritonga, M.Kom.
3,60
3,60
3,60
3,20
3,40
3,20
Good
40
Muizzudin, SE., MM.
4,00
3,50
3,67
3,67
3,67
3,17
Good
41
Oji Fauzi, M.Pd.
4,24
4,00
4,04
3,08
3,84
4,12
Good
42
Syamsudin, S.Si., MM.
4,14
3,76
3,62
4,38
3,95
3,71
Good
43
Abdul Halim, S.Kom.
4,31
4,13
3,94
4,56
4,38
4,13
Good
44
Achmad Firdaus, MM.
2,15
1,96
2,04
1,42
2,00
1,77
Good
Good
Good
Good
Good
Good
Conclusion
From the results, analysis and discussion has been done in this study, several conclusions can be taken as follows:
1. Decision support system for evaluation of the performance of the lecturer at the University of Serang City, which refers
to high school drama tri integrated using Fuzzy inference System and method Mamdani
2. This decision support system to assist and provide alternatives in conducting an assessment of each faculty to change
the criteria, decision makers associated with the problem of performance assessment professors, lecturers get to be the
most worthy of reward or recognition.
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Page 323
International Journal of Application or Innovation in Engineering & Management (IJAIEM)
Web Site: www.ijaiem.org Email: editor@ijaiem.org, editorijaiem@gmail.com
Volume 2, Issue 11, November 2013
ISSN 2319 - 4847
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AUTHOR
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