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All Journal Jurnal Tekinkom (Teknik Informasi dan Komputer)
Kienan, Olwen
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Computer Science & IT

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IMPLEMENTASI METODE ADAPTIVE NEURO FUZZY INFERENCE SYSTEM UNTUK MENENTUKAN TINGKAT KEPUASAN TERHADAP PELAYANAN AKADEMIK UNIVERSITAS PRIMA INDONESIA Purba, Winda Nia; Mendyeta, Cristine; Simanullang, Reno; Kienan, Olwen; Raj, Pravin
Jurnal Tekinkom (Teknik Informasi dan Komputer) Vol 7 No 1 (2024)
Publisher : Politeknik Bisnis Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37600/tekinkom.v7i1.1212

Abstract

This study highlights the importance of understanding student satisfaction with academic services at Universitas Prima Indonesia. Using the Adaptive Neuro-Fuzzy Inference System (ANFIS) method, the research identifies factors such as teaching quality, access to academic resources, and class schedules that influence student satisfaction. Data was collected through questionnaires and observations, then processed with ANFIS to clean, train, and test the data. The findings indicate that the variables of tangibles, responsiveness, reliability, empathy, and assurance significantly affect student satisfaction. The ANFIS model used demonstrates that student satisfaction can be predicted with relatively high accuracy, with an average root mean square error of 0.083297. This study provides guidance for improving the quality of academic services at Universitas Prima Indonesia, emphasizing the importance of professional and high-quality services to meet student expectations.
Co-Authors Mendyeta, Cristine Purba, Winda Nia Raj, Pravin Simanullang, Reno