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Decision Support System of Student Education Assistance Using Analytical Hierarchy Process (AHP) Sunan Giri Foundation Asromah Al Alawiyah; Haris Yuana; Wahyu Dwi Puspitasari
Procedia of Engineering and Life Science Vol 2 (2021): Proceedings of the 3rd Seminar Nasional Sains 2021
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (886.965 KB) | DOI: 10.21070/pels.v2i0.1153

Abstract

Student education assistance is a Foundation program for students to gain access to decent education services, prevent dropping out of school, attract poor students to return to school. In its application, there are problems in determining, one of which is the inaccuracy of the recipient's target. This is due to the many tasks, obligations and work programs that must be completed on time by division. Therefore, the solution that can be done for time efficiency in helping the foundation is to create a system using the Analytical Hierarchy Process (AHP). Because the decision support system is able to solve management problems in producing the best alternative to support decisions taken by decision makers. The criteria used in this system are student status, average value of report cards, SKMT (Certificate of Disability), parental income, parental dependents, home ownership status and achievement. The results of the tests carried out using the black box testing method obtained an accuracy value of 70.58%, meaning that the application has run in accordance with the expected results, while the accuracy of the beta testing of the questionnaire results to the validator is 86% and the testing to prospective users is 87.81%.
PENERAPAN METODE FUZZY SUGENO DALAM PENENTUAN KONDISI TRAFO DI PLN ULP BLITAR Fuad Hasan Nawawi; Zunita Wulansari; Wahyu Dwi Puspitasari
PENDIDIKAN SAINS DAN TEKNOLOGI Vol 12 No 4 (2025)
Publisher : STKIP PGRI Situbondo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47668/edusaintek.v12i4.2037

Abstract

Transformers play a crucial role in the electricity distribution system, and their failures may significantly impact the reliability of power supply. This study aims to analyze the health condition of transformers at PLN ULP Blitar using the Fuzzy Sugeno method, implemented in a web-based system (PHP and MySQL). This approach enables automatic evaluation of hundreds of transformer assets more efficiently compared to manual monitoring. Validation was conducted using the Fuzzy Logic Toolbox in MATLAB to ensure accuracy and reliability. The results indicate that the application of Fuzzy Sugeno logic provides fast, accurate, and structured evaluations of transformer conditions, supporting early detection of potential failures. Therefore, this method can serve as an effective decision-support tool for optimizing asset management and maintaining the reliability of electricity distribution in PLN ULP Blitar.