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All Journal Journal of Food and Pharmaceutical Science Jurnal Dinamika Hukum AL QUDS : Jurnal Studi Alquran dan Hadis ELSE (Elementary School Education Journal) : Jurnal Pendidikan dan Pembelajaran Sekolah Dasar Owner : Riset dan Jurnal Akuntansi AL-FANAR: JURNAL ILMU AL-QUR’AN DAN TAFSIR Jurnal Entrepreneur dan Entrepreneurship Neo Teknika: Jurnal Ilmiah Teknologi Jurnal Pengabdian Masyarakat Kebidanan Sistema: Jurnal Pendidikan Unram Journal of Community Service (UJCS) Aptekmas : Jurnal Pengabdian Kepada Masyarakat Jurnal Teknologi Informasi Cyberku Jurnal Abdi Masyarakat Multidisiplin Bandung Conference Series: Law Studies Jurnal Pengabdian Kreativitas Pendidikan Mahakam (JPKPM) "JAMASTIKA" Jurnal Mahasiswa Teknik Informatika Jurnal Kajian dan Penelitian Umum Jurnal Pengabdian Bersama Masyarakat Indonesia Inquest Journal Jurnal Ilmu Administrasi: Media Pengembangan Ilmu dan Praktek Administrasi Buletin Ilmiah Ilmu Komputer dan Multimedia (BIIKMA) Sanaamul Quran : Jurnal Wawasan Keislaman Journal of Food and Pharmaceutical Sciences Jurnal Akademik Pengabdian Masyarakat Jurnal Pengabdian Masyarakat dan Riset Pendidikan Values: Jurnal Kajian Islam Multidisiplin Jurnal Manajemen Riset Bisnis Indonesia JURNAL PENGABDIAN KEPADA MASYARAKAT UNISA KUNINGAN INOVTEK Polbeng - Seri Informatika Jurnal At-Tadbir: Media Hukum dan Pendidikan
ABDUL ROHMAN
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Journal : INOVTEK Polbeng - Seri Informatika

 1 
Prediction of Student Satisfaction with Lecturer Performance in the Informatics Engineering Study Program at Ngudi Waluyo University Using the C4.5 Algorithm Noviyana Dwi Herlinda; Abdul Rohman
INOVTEK Polbeng - Seri Informatika Vol. 9 No. 2 (2024): November
Publisher : P3M Politeknik Negeri Bengkalis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35314/x8h05w94

Abstract

The rapid development of the times has made the world of education face very tough challenges. Very tight competition makes every college must pay more attention and improve the quality of education including the quality of lecturers as the party that produces or provides educational services to students. Lecturers who have good performance can also increase students' enthusiasm for learning and improve the quality of their learning outcomes. For this reason, predicting student satisfaction with lecturer performance is very important for development. This research was conducted with data mining techniques using the C4.5 algorithm with the aim of knowing the accuracy level of the C4.5 algorithm and in order to help universities to find out student satisfaction with lecturers so that they can continue to improve the quality of academic services received by their students. The C4.5 algorithm is one of the data mining classification methods whose results are in the form of decision tree patterns/models and decision rules. This research produces accuracy results of 95.26%, class recall of 98.09%, and class precision of 96.86%. These results show high accuracy because the rules or rules produced are close to 100% and the C4.5 algorithm can predict data correctly and close to the actual value.
Co-Authors Ach Khoiri Nabil Advendi Kristiandaru Afni Putri Hairani Afrizal Zein Agus Haris Agustina Ari Murti Budi Hastuti Ahmad Darda Aida Syarif Alif Alvinas Amelia Kartini5 Annisah Rahma Palupi Aqib Zuhri Adi Kusuma Aysyah Lulu Fuadina Budiman Abdullah Catur Supriyanto Dika Ade Royani Dwi Gemina Dwiki Rahmadhana Dzodi Wijaya Ramadhan Elfrida Ratnawati Elis Puspitasari Emmanuel Kevin Gunawan Endang Silaningsih Erna Susanti Esther Tirza Suzanti Kalalo Evi Dwi Kartikasari Evi Tri Anjani Faiz Budi Hakim Fanji Fakhru Zaman Gebrina Oktaviani Tarigan Giyo Sastra Manggali Gusti Randy Pratama Halimatussadiah HARIYANTI Haya Desi Afifah Danu Ado Idri Irene Trivena Montalili Iskar Prayoga Ismail, Ahmad Hafizh Kania Pusriani Amalia Khilda Afriyani Khoirul Asrofi Kurnia Sakti Latifatul Fajriyah Leila Kalsum Lily Arsanti Lestari M. Fatih Naufal M. Firdaus Tri Kuncoro M. Qairul Rodzikin Maftuchah Maftuchah Maria Magdalena Melani Maria Suryaningsih Min Sahril Muhammad Ikbal Riyadi Muhammad Nasiruddin Muhammad Ridwan Munasiroh Munasiroh Mustika Erlinaningrum Nadia Miftahul Jannah Noviyana Dwi Herlinda Nurul Chotidjah Ries Ardhian Sultansyah Rifka Rifka Rinda Kuswati Rusdianasari Rusdianasari Salman Salman Sinaga, Marissa Siswanto Sufiati Bintanah Sugeng Deri Pratama Sulistri Susi Susilawati Syolahudin Sahariawi Tara Indah Afelia Taryanto Taufiq, Wildan Tiara Ramadhani Titik Khotiah Vincent Suhartono Wahyu Aji Kuswoyo Widi Syahtia Pane Yelsa Dearestiani Yuliana Noor Setiawati Ulvie Zahra Humaira Febriyanti