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Journal : Proceedings of International Conference on Multidisciplinary Engineering (ICOMDEN)

Decision Support System For Selecting School Majors In Man Using The Weighted Aggregated Sum Product Assessment Method Rifky Firzani Marpuang; Wahyu Fuadi; Hafizh Al Kautsar Aidilof
Proceedings of International Conference on Multidisciplinary Engineering (ICOMDEN) Vol. 2 (2024): Proceedings of International Conference on Multidisciplinary Engineering (ICOMDEN)
Publisher : Faculty of Engineering, Malikussaleh University

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Abstract

Determining school majors at Madrasah Aliyah Negeri (MAN) is an important process that must consider various factors such as academic grades, interests, and talents of students. However, the determination of the applicable majors still has problems due to several factors such as the environment or parents' requests so that the selection of students' majors is not in accordance with the abilities and talents of students. The selection of majors is also still done manually, so it is less efficient and takes a long time. This research aims to design and build a web-based Decision Support System (DSS) using the Weighted Aggregated Sum Product Assessment (WASPAS) method that is useful for helping schools determine majors that are in accordance with student abilities. This decision support system combines various criteria such as report card scores, academic test results, and practical skills to provide optimal majoring recommendations. The WASPAS method was chosen because of its ability to combine the Weighted Sum Model (WSM) and Weighted Product Model (WPM) methods, which results in more accurate calculations. The calculation test results show that the system built is able to provide major recommendations more quickly and effectively compared to the manual method. This system is expected to help schools in managing student majors more efficiently and objectively.
Cooperative Loan Eligibility Determination System Using The Evaluation Based on Distance form Average Solution (EDAS) Method Aina Rahmadani; Wahyu Fuadi; Ar Razi
Proceedings of International Conference on Multidisciplinary Engineering (ICOMDEN) Vol. 2 (2024): Proceedings of International Conference on Multidisciplinary Engineering (ICOMDEN)
Publisher : Faculty of Engineering, Malikussaleh University

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Abstract

The rapid development of Decision Support Systems (DSS) has provided significant benefits, especially in supporting decision-making across various fields, including determining credit loan eligibility within cooperatives. Loans involve transactions in which lenders provide funds or assets to borrowers under agreed-upon terms. DSS is essential for enhancing objectivity and reducing the risk of non-performing loans arising from subjective evaluations. This study produces a web-based DSS capable of evaluating the loan eligibility of cooperative members by implementing the Evaluation Based on Distance from Average Solution (EDAS) method, combined with Rank Order Centroid (ROC) weighting. The system analyzes several criteria, such as collateral, membership status, loan amount, loan term, income, remaining loan balance, and payment status. The EDAS method generates a ranking based on eligibility, with alternative N0071 achieving the highest score of 0.907, followed by N0004 with a score of 0.830, and N0019 with a score of 0.762. The results of the system testing indicate that the loan eligibility calculations produced by the system are accurate and consistent with manual calculations, achieving a match of 95%. This ranking simplifies the cooperative's decision-making process. Furthermore, the system accelerates the loan eligibility determination process, enabling cooperatives to serve their members more effectively and efficiently.