Devan Rizaldi
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Analisis Perbandingan Sistem Pendukung Keputusan Metode SAW dengan Metode TOPSIS Berbasis Website untuk Penerimaan Beasiswa di Yayasan Aldiana Nusantara Devan Rizaldi
SABER : Jurnal Teknik Informatika, Sains dan Ilmu Komunikasi Vol. 2 No. 4 (2024): Oktober : Jurnal Teknik Informatika, Sains dan Ilmu Komunikasi
Publisher : STIKes Ibnu Sina Ajibarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59841/saber.v2i4.1852

Abstract

Information systems now play a crucial role in various fields, including education. Yayasan Aldiana Nusantara (YAN), which supports students from low-income backgrounds, faces challenges in selecting scholarship recipients. To streamline this process, this research designs a web-based Decision Support System (DSS) using the Simple Additive Weighting (SAW) and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) methods. The system considers criteria such as class, KPS/KIP/KKS recipients, parents' income, report card grades, and extracurricular activities. The DSS is developed using the Waterfall model, PHP, and MySQL, with four types of access rights: Administrator, Judge, Student, and Foundation Leader. Sensitivity testing shows that the SAW method is more responsive to changes in criteria compared to TOPSIS, with a sensitivity value of 2.98 for SAW and 0.022 for TOPSIS. These results indicate that SAW is more optimal in assisting YAN in effectively and efficiently selecting scholarship recipients.
Ultimate Solution Of Saw Dan Topsis Web-Based Methods For Scholarship Recipients At The Foundation Aldiana Nusantara Taryo, Taswanda; Makhsun, Makhsun; Rizaldi, Devan; Sunarsi, Denok; Hamsinah, Hamsinah
Pasundan Social Science Development Vol. 5 No. 2 (2025): Pasundan Social Science Development (PASCIDEV)
Publisher : Doctoral Program of Social Science Pasundan University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56457/pascidev.v5i2.205

Abstract

The role of information systems is currently crucial in various fields, including education and Yayasan Aldiana Nusantara (YAN), which supports many students from low to middle economic backgrounds, faces challenges in selecting scholarship recipients for financially disadvantaged students. To assist in making accurate and swift decisions, a computer-based Decision Support System (DSS) is required. This study aims to design a web-based DSS using the Simple Additive Weighting (SAW) and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) methods. This system was designed to assist Yayasan Aldiana Nusantara - YAN in selecting scholarship recipients based on criteria, such as, grade level, scholarship recipient status, father's income, mother's income, report card grades, and the number of extracurricular activities. The SAW method is used for weighting criteria, while the TOPSIS method is used to rank alternatives based on their proximity to the ideal solution. The system design follows the waterfall model, comprising analysis, design, implementation, and testing phases. The DSS is developed using PHP programming language and MySQL Database Management System. The system provides four types of access rights: administrator, jury, student, and faculty leader, ensuring security and ease of use. The test results indicate that the system has a high level of accuracy, reliability, integrity, and usability. This system also helps expedite the scholarship selection process, reduce errors in recipient determination, and facilitate the selection team in decision-making. With this DSS, YAN is able to conduct the scholarship selection process more effectively and efficiently, ensuring that aid is accurately targeted at students in need.