Jurnal Tekinkom (Teknik Informasi dan Komputer)
Vol 7 No 1 (2024)

IMPLEMENTASI METODE ADAPTIVE NEURO FUZZY INFERENCE SYSTEM UNTUK MENENTUKAN TINGKAT KEPUASAN TERHADAP PELAYANAN AKADEMIK UNIVERSITAS PRIMA INDONESIA

Purba, Winda Nia (Unknown)
Mendyeta, Cristine (Unknown)
Simanullang, Reno (Unknown)
Kienan, Olwen (Unknown)
Raj, Pravin (Unknown)



Article Info

Publish Date
30 Jun 2024

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.

Copyrights © 2024






Journal Info

Abbrev

Tekinkom

Publisher

Subject

Computer Science & IT

Description

Jurnal TEKINKOM merupakan jurnal yang dimaksudkan sebagai media terbitan kajian ilmiah hasil penelitian, pemikiran dan kajian analisis-kritis mengenai isu Ilmu - ilmu komputer dan sistem informasi, seperti : Pemrograman Jaringan, Jaringan Komputer, Teknik Komputer, Ilmu Komputer/Informatika, Sistem ...