Journal of Applied Engineering and Technological Science
Vol 2(1) 2020 : 42-41

LECTURER PERFORMANCE DECISION SUPPORT SYSTEM USING

THE TOPSIS METHOD BASED ON WEB

Suandi Daulay

Sekolah Tinggi Teknologi Pekanbaru, Indonesia

suwandidaulay90@gmail.com

Received : 20 November 2020, Revised: 20 Desember 2020, Accepted : 21 December 2020

ABSTRACT

AMIK Mahaputra is one of the private computer colleges in the city of Pekanbaru. In increasing its

resources, this university conducts performance appraisals of lecturers and employees. This performance

assessment will form the basis of promotion. At present, the system in assessing its performance still has

weaknesses, namely by improper lecturers or employees who occupy certain positions and positions. The

purpose of this study is to later be able to make it easier to give a decision on the performance evaluation

of lecturers and employees each year as part of the process of career development and promotion. The data

obtained include the assessment of lecturers by students, the discipline of lecturers on giving lectures, the

allocation of time by each lecturer and the method used is TOPSIS where this method is considered suitable

for this research. and AMIK employees Mahaputra pekanbaru. Decision support system for evaluating the

performance of lecturers and employees in promotion. Although the decision taken has been 74% but it has

been recommended to assist the management of AMIK Mahaputra in making decisions.

Keywords : Decision Support System, TOPSIS, Lecturer Performance

1. Introduction

Institutions that move dynamically require harmonious human resource relationships,

with the role of organizational communication being very important. The formal authority of a

manager causes the emergence of three roles in the communication between personality,

information roles and deciding roles. The university management paradigm has been transformed

from the power of science to an institution that provides information, which is not limited to space

and time, with the presence of powerful media forms from information technology to teaching

and research networks. Higher education is an organization that is highly dependent on the

performance of its members' human resources, in this case, including lecturers as part of the

available resources.

Universities must recognize the importance of human resource development. The role of

the duties and responsibilities of lecturers is very important in achieving the goals of national

education, namely the intellectual life of the nation, improving the quality of Indonesian people,

including the quality of faith, piety, character, mastery of science, technology, and art, and to

bring Indonesians forward, fair, prosperous , and civilized (Tahir et. al., 2017). Lecturers as the

main resource in presenting high quality education. Improving the quality of faculty performance

is a complex problem faced by many universities in Indonesia. Performance measurement and

quality assessment of lecturers are usually measured by three main indicators, namely education

and teaching, research and community service. The third indicator is known as the university's

Tri Dharma. Overall so as to produce a complete performance assessment according to many

relevant indicators. In addition, the leadership factor in an organization is rarely included as an

indicator that is also able to boost lecturer performance (Suryaman, 2018).

The university is one of the educational institutions that produces quality human

resources. Government Regulation No. 30/1990 explains that universities are aimed at preparing

citizen students who have academic or professional abilities who can apply, develop, and create

science, technology, and arts. There are several struggles to achieve the dream of appearing in

quality higher education. There needs to be major improvements to its aspects, lecturers are the

most important aspect to improve the quality of tertiary education. High lecturer performance

affects the quality of higher education. This study aims to determine the factors that affect lecturer

performance. Lecturer performance factors include experience, skills, age, gender, education,

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tenure, responsibility, job satisfaction, perceptions, motivation, leadership, costs, supervision, and

working conditions (Hadiantini, et. al., 2017).

Kennedy, D., 1997, according to him that the main task of lecturers' academic tasks is

apart from teaching, but they must also be able to find and publish their findings. Scientific

publications in the reputation of national and international journals, act as self-actualization media

for academics and researchers in the development of science internationally. But in general, the

performance of lecturers' scientific publications in Indonesia is still far behind including the

citation index compared to the scientific publications of lecturers in Southeast Asian countries

(Lubis, et al, 2018).

2. Literature Review

Decision making is the main management activity which greatly determines the existence

of an organization. Errors in decision making can have fatal consequences for an organization.

Because this activity is very important, management experts are always looking for systems,

methods and technology that can assist management in carrying out these tasks. In line with the

development of information technology, various management support systems were developed
including computer-based Decision Support Systems. This system is a computer-based system

designed to increase the effectiveness of decision makers in solving semi-structured or

unstructured problems(Irawan, 2020).

Lecturers are academic staff in charge of implementing the Tridarma of higher education,

which includes education and teaching, research and development of science and technology and

community service as well as supporting activities. The purpose of selecting outstanding lecturers

is to provide real and extraordinary recognition of lecturers for conducting university Tridharma

activities whose results can be proud of and are very beneficial for the progress of improving

academic and institutional quality(Azizu & Sari, 2020).

According to Mufizar (2016) Decision Support System (SPK) / Decision Support System

is an intelligent system that includes a knowledge-based system to support decision-making

activities quickly and precisely. DSS uses data, provides an easy-to-use interface, and allows

decision makers to use insights on their own. According to Surya (2018) Decision Support System

(DSS) / Decision Support System is a process of choosing between various alternatives,

managerial decision making is synonymous with the overall process of management Decision

support system can be defined as a system intended to support managerial decision makers in

situations unstructured decisions. Damanik & Bangun (2018) Decision Support System (DSS)

can be defined as a computer program that provides information in the application domain

provided by a decision analysis model and access to a database, where it is intended to support

decision makers (Decision Maker) in make decisions effectively in both complex and

unstructured conditions. The decision making system is an inseparable part of the totality of the

entire organizational system. That the organizational system includes at least operational systems,

decision systems, and information systems.

One method that can be used for decision support is the TOPSIS method. The TOPSIS

method is a method of assessment that can be interpreted as giving each object its specific value

to be evaluated(Rahim, et. al., 2018). The TOPSIS method is a simple and efficient multiple

criteria method for identifying solutions from a set of several alternatives(Muslihudin, et. al.,

2019). The decision support system for the recommendation for graduation of thesis trial student

participants using AHP-TOPSIS has been produced. This DSS can provide accuracy based on the

Hamming distance of 96.2% and the Euclidean distance of 0.8096 for 95 sample student data

between 2014-2016 so that it can be applied to recommend the graduation of student participants

for the thesis trial(Sari, et.al., 2018).

3. Research Methods

Research activities are activities in solving a problem which is expected to obtain the

desired results and in a long enough time by applying scientific methods based on the procedures

and rules that are enforced. In a study, a methodology that contains a framework is needed. Where

in this framework in the form of a description of the steps to be carried out so that the research

can run systematically and the objectives that are expected to be achieved as desired. The

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framework of thought is usually in the form of a theoretical framework and a logical pattern of

reasoning framework. The theoretical framework in question is a summary description of the

theory used and how to use the theory in answering the research questions. Framework is a writing

plan that draws an outline of an essay to be worked on, as well as a series of several ideas that

will be arranged in a systematic, logical, clear, orderly and structured manner. This chapter will

describe the research framework, in which this framework is the steps that will be taken in solving

problems that are the main subject of discussion. Where this research framework can be seen in

Figure below:

Figure 1. Research Framework

1. Relevant Lecturer Data
In this stage the writer collects data which comes from related problems. Where the data

obtained from Amik MahaPutra Pekanbaru. These data are in the form of research,

education and service.

2. Grouping data about lecturer performance.
In this step, the process of grouping research data is carried out using two methods,

namely:

a. Descriptive method in which data is collected, then arranged, grouped and analyzed,
so as to obtain some clear picture results on the problems to be discussed.

b. Comparative Method in which analysis is carried out by comparing theory and
practice, so as to obtain a clear picture of the similarities and differences between the

two.

3. Look for Rules in Decision Making
Where the search for rules is in accordance with the basis of complete knowledge into

separate elements in the form of criteria where later this criterion can solve problems with

facts with existing knowledge.

4. Analyzing Lecturer Data
The data obtained will then be analyzed in order to produce useful information in

determining the performance of lecturers in data analysis using the TOPSIS method. This

method is expected to produce solutions from the lecturer's performance.

5. Design
To meet the needs of Amik Mahaputra Pekanbaru as a system user, the system design

stage was carried out. System design in this step begins by presenting data in the form of

criteria which are managed using the TOPSIS method, design input interfaces, creating

algorithms and creating interface outputs. At the system design stage, the design is carried

out using UML (Unified Modelling Language).

6. Implementation of the system

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In the implementation phase of the system, the coding process or application creation is

carried out. In this research, the application development will be built using Hypertext

Preprocessor (PHP) by applying the TOPSIS method(Zyoud & Fuchs-Hanusch, 2017)

4. Results and Discussions

Determination of lecturer performance based on existing criteria. There are several

criteria that need to be considered in determining the performance of lecturers, namely: Education,

Research, Community Service, Responsibility, Personality, Loyalty, Cooperation, and

Leadership.

After the alternatives and criteria are determined, the weighting of the scores for each

criterion is carried out for each alternative. The next step is to carry out an analysis process of the

results obtained from data processing. The results or outputs from processing are information in

the form of priority values from the alternative performance of the lecturers that have the highest

to the lowest scores. This information will certainly be used by the decision maker in making

decisions.

In designing this decision support system, supporting data is needed, including:
Alternative data and Criteria data. Alternative data consists of data from alternative lecturers to

be tested, namely: Julianto Simatupang, Mukhtar Muhammad, Sinta Maria and Fitri Ayu.

The criteria data consist of the three dharma colleges of the lecturer, the criteria data

include: Education, Teaching, Community Service, Service Orientation, Integrity, Commitment,

Discipline, Cooperation, and leadership. The data used is data from the tri dharma college of the

lecturer, be it research, learning, and community service data along with a list of employee

executive assessments (DP3) of the five lecturers.

The implementation of this program system includes specifications of hardware

requirements (hardware), and specifications of software (software). This program is

recommended to run using hardware (hardware) that has the following specifications:

1. Intel Pentium Dual Core Process, 2.5 GHz

2. Memory 1 GB

3. 80 GB hard drive

4. 64 MB VGA card

5. Monitor with a resolution of 1024 x 800 pixels

6. Keyboard and Mouse

The software or software used to run this application is the Windows Seven Operating

System Environment or Windows 10 Application using Web Programing. The steps of processing

lecturer performance data using the Lecturer Performance appraisal application using the PHP

programming language are carried out in the following manner:

Double-click the Xampp Control Panel Icon on the desktop and open Google Chrome, or

Internet Explorer then type in the search page localhost / Kinerja_dosen so that the Admin page

of the lecturer performance application will appear and ask for a password.

Dashboard Form

This form is the homepage or main page which contains Lecturer data, Criteria data,

Criteria Set, Lecturer Assessment, Calculation of the final result and Sig Out of the results and

information which functions as follows:

a. Home is the home page.
b. Lecturer data input lecturer data such as NIP input, lecturer name, which contains lecturer

biodata.

c. Data The input criteria are the criteria data such as the criteria name weight criteria.
d. Criteria set is a menu to display the form results from the weights of our criteria.
e. Lecturer Assessment is a menu for selecting which lecturer data we will input.
f. The calculation is the result of the lecturer assessment process using the topsis method.

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Figure 2. Display Dashboard Form

Add Lecturer Data Page

Information from Figure 3. The Lecturer Data Input Form consists of 5 fields, namely:

a. NIDN contains the lecturer ID number code.
b. Name containing the name of the lecturer.
c. Address contains the address of the lecturer.
d. Education contains the lecturer education.
e. Position contains the lecturer's position.

Figure 3. Display Add Lecturer Data

The description of Figure 3 is a display of the inputted lecturer data such as Nip / Nidn,

Name, Address, Education and Position, all of which are the result of adding lecturer data or

called lecturer master data.

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Figure 4. Display of Lecturer Data

The description of Figure 4 is a display of the inputted lecturer data such as Nip / Nidn,

Name, Address, Education and Position, all of which are the result of adding lecturer data or

called lecturer master data.

Figure 5. Display Criteria Data Input

The input of the value of the Tridrahma of Higher Education from research to the input

of the DP3 value of the lecturer based on the amount that has been processed from the lecturers'

data such as the value of teaching, research value and community service.

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Figure 6. Display of Criteria Value Process Results

This is test results page contains lecturer performance appraisal data can be seen

that compares the original manual data with the system data results.
Table 1. Information of Calculation

No Lecturer Name Original Data
Result of System

Data
year Accuracy

1 Julianto 0.8419 0.8467 2017

2017

99.4331

2 Mukhtar 0.4579 0.5588 49.5705

3 Muhammad 0.3308 0.4935 67.0314

4 Sinta Maria 0.6509 0.5218 80.1659

5 Fitri Ayu 0.4932 0.5455 90.4125

To find the level of accuracy in the following ways:

(Sum of Original Data) / (Sum of System Results) X 100%

1. Julianto lecturer accuracy = 99%
2. Mukhtar lecturer accuracy = 49%
3. Muhammad lecturer accuracy = 67%
4. Sinta Maria lecturer accuracy of = 80%
5. Fitra Ayu lecturer accuracy = 90%

5. Conclusion

From the test results it can be concluded that the results are stated right, so that the

TOPSIS method can be used by the leadership as a basis for decision making in determining
Lecturer Performance Appraisal at Amik Mahaputra Pekanbaru. From the test results, it can be

concluded that the results are stated to be correct with an accuracy rate of 74% so that the TOPSIS

method can be used by the leadership as a basis for decision making in determining the assessment

of lecturer performance at Amik Mahaputra Pekanbaru. The Technique for Others Reference by

Similarity to ideal Solution (TOPSIS) method can be used to rank Lecturer Performance

according to predetermined criteria.

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