APPLICATION OF THE SIMPLE ADDITIVE WEIGHTING METHOD IN DECISION SUPPORT SYSTEMS AT ISLAMIC BOARDING SCHOOL OF SYAICHONA

Abstrac


Introduction
Being an outstanding student is an honor. Not only proud of his family but also proud of himself and the school. School appreciation for students who excel is important so that students who get achievements can be even more motivated to achieve even higher achievements, for other students it can also be motivation so they can achieve these achievements.
Syaichona Islamic Boarding School Moh. Cholil Gambut was raised by Ustadz Ahmadi and was inaugurated in 1995 which is located at Jl. Pemajatan, West Peat, Gambut District, Banjar Regency, South Kalimantan. This Islamic boarding school is the 4th branch of the Syaichona Moh. Cholil Islamic Boarding School that exist throughout Indonesia. Among the students at the Syaichona Moh. Cholil Islamic Boarding School Gambut has one of the events where students will be selected and have the right to be made as outstanding students. The event is usually called student stars where the selected students will be awarded twice a year. In determining the selection of outstanding students at the Syaichona Moh. Cholil Islamic Boarding School Gambut still uses the manual method but not automatic. To facilitate the selection of outstanding students, we need a decision support system that makes the process of analysis and decision making easier and faster.
The method of choice for selecting outstanding students is Simple Additive Weighting (SAW). Simple additive weighting method is a method that is widely used in making decisions that have a lot of attributes, so that by ORIGINAL ARTICLE applying the method of SAW on decision support systems the completion of various decisionmaking processes can be easily (Nurmalini, 2017). The SAW method was chosen because it was able to select the best alternative from several alternatives (Painem, 2019). The basic concept of the SAW method is to find the weighted sum of the performance evaluations for each choice of all attributes. The SAW method requires a process to normalize the decision matrix (X) to a scale that can be compared with all existing alternative scores (Limbong, 2002). The rating system is based on predetermined criteria and weights and is expected to provide a more accurate assessment.
Based on this, the idea emerged to apply the SAW method to a decision support system for selecting outstanding students. This SAW (Simple Additive Weighting) method can enable decision making with more efficient results. The introduction of this decision support system is expected to reduce subjectivity in selecting outstanding students at the Syaichona Moh. Cholil Islamic Boarding School Gambut. The decision support system is known as Decision Support Support (DSS). It is a computerized information system that is used to support decision making within a company or organization (Evitasari, 2021).

Figure 1. SPK components
The figure 1 shown components of the decision support system consist of: 1. Database Management (Data Management) is a data subsystem that is organized into a database 2. Base models (management models) are models that are widely used in decision making processes and can be divided into two types, namely: a. Information Models, creating an information model in a Decision Support System using a Web-based programming language with PHP and MySQL. b. Mathematical Models, decision Support Systems use algorithms where decisions are made by developing and comparing alternative ratings. 3. User Interface (User Interface) is a unification between two components, namely data management and management models which are combined into a third component (User Interface), presented in the form of a model that can be understood by computers (Adani, 2021). According to Limbong (2002) the basic concept of the Simple Additive Weighting (SAW) method is to find the weight of the overall performance score for each attribute selection. The SAW simple weighting method requires the process of normalizing the X decision matrix to a scale comparable to all available alternative estimates.
An achievement Santri is a student studying religion at a boarding school who has the best grades in both academic and nonacademic fields. The first study by Mulyati (2016) entitled application of the simple additive weighting method for determining marketing priority for beef meatball product packaging, concluded that this system can help speed up marketing management performance in obstacles to conducting assessments to select packaging to be prioritized in agent distribution and with the Method Simple Additive Weighting in this application, the process of calculating each weight and criteria is faster in selecting packages to be prioritized in agent distribution.
The second study by Permatasari (2016) entitled decision support system for determining majors at kader bangsa islamic vocational schools using the SAW method, concluded that the results of system calculations were ranking the highest value to the lowest and the highest value was the result needed as consideration by the user to determine selection of majors in SMK.
In this study, it has a focus on the problem of decision support systems for selecting outstanding students at the Syaichona Moh. Cholil Peat Islamic Boarding School by applying the simple additive weighting (SAW) method which aims to produce a decision support system that is able to provide fast and accurate decision results so as to facilitate users in the process of selecting outstanding students.

Data Analysis
Data analysis in this study used SAW method. The system requirements analysis carried out by the administrator uses a use case diagram, namely as shown in Figure 2 and Table 1  The admin process to exit the admin page and will return to the login page

System Planning Logical Design
In system planning, the logic design is shown in Figure 3.     The final result column is the value of the matrix ranking process

Dialog Management Design Admin page
On this page an admin can enter student data, student scores according to existing criteria, and carry out the ranking process. Figure 5 displays the dialog management design on the admin page, consisting of login, home, students, registration, ranking, and ranking report cards.

Results and Discussion
System implementation requirements System implementation requirements, namely software and hardware specifications used to support the implementation of this decision support system are shown in table 6. The programming language used is ahp with the apache XAMPP web server application, sublime text 3 text editor The processor used is AMD ryzen 3 3200U with tadeon Vega mobile gfx 2.60 GHz

The database used is Mysql
The memory used is 4 GB

Data Management Implementation
The data management used to implement data in the decision support system using the Simple Additive Weighting (SAW) method is to create a database with the name "tes_db_santri_prestasi" (MacCrimon, 1968).

Model Management Implementation
Implement settlement steps using the SAW method with manual calculations as shown in Figure 4 and enter alternative data (table 7).  Conformity rating value of each alternative on each criterion (table 10).

Implements of management dialog
Login page, this page is the initial view of this system. In this view the admin can perform the login process. Figure 8 shows the login page.   Achievement santri registration page, this page is a page for filling out the registration form for outstanding students (figure 11) where the admin can fill in the personal data form along with the student's grades according to existing criteria. The admin can also add, view, modify, and delete student data.

Figure 11. Registration page implementation achievement students
Ranking page of students with achievement, this page is the results page for ranking students scores from each criterion that has been normalized (figure 12).

Figure 12. Implementation of achievement santri ranking pages
Ranking report page, this page is a ranking report page that can be used as a soft file (figure 13).
Decision support system to majoring high school student using simple additive weighting method. International Journal of Computer Trends and Technology, 10(3), 153-159.