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All Journal Jurnal Sinergi Jurnal Akuntansi & Auditing Indonesia Jurnal Teknik ITS e-Jurnal Kewirausahaan Jurnal Online Mahasiswa (JOM) Bidang Teknik dan Sains Jurnal Ilmiah KOMPUTASI Jurnal Mirai Management Syntax Literate: Jurnal Ilmiah Indonesia Laga-Laga: Jurnal Seni Pertunjukan JURNAL UNIZAR LAW REVIEW Jurnal Pengabdian Magister Pendidikan IPA Jurnal Agregasi Jurnal Jatiswara Jurnal Linguistik Komputasional PERENNIAL JMB : Jurnal Manajemen dan Bisnis Buletin LOUPE (Laporan Umum Penelitian) Budapest International Research and Critics Institute-Journal (BIRCI-Journal): Humanities and Social Sciences Jurnal Fakultas Ilmu Keislaman UNISA Kuningan Islamika Granada Equity: Jurnal Akuntansi Multica Science and Technology Journal Physical Health Recreation (JPHR) Abdimas Awang Long: Jurnal Pengabdian dan Pemberdayaan Masyarakat Jurnal Risalah Kenotariatan EKONOMIKA45 Jurnal Akuntansi dan Keuangan Sisfo: Jurnal Ilmiah Sistem Informasi Jurnal Dunia Pendidikan INFORMATIKA Bandung Conference Series: Business and Management Jurnal Pelayanan dan Pengabdian Masyarakat Indonesia Jurnal Indonesia Sosial Teknologi Journal of Economic Education and Entrepreneurship Studies Lingkar : Journal of Environmental Engineering Riset Ilmu Manajemen Bisnis dan Akuntansi COCOS The International Science of Health Journal Jurnal Ekonomi dan Bisnis IJES : Indonesian Journal of Environmental Sustainability. LEMBARAN PUBLIKASI MINYAK DAN GAS BUMI Multidisciplinary Indonesian Center Journal JURNAL PENGABDIAN KEPADA MASYARAKAT UNISA KUNINGAN
Arief Rahman
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Journal : Multica Science and Technology

 1 
Analysis of Measuring Student Satisfaction with Teacher Performance Assessment Using the Naive Bayes Model Irma Yurni; Arief Rahman; Zahratul Fitri
Multica Science and Technology Vol 4 No 1 (2024): Multica Science and Technology
Publisher : Universitas Mulia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47002/mst.v4i1.852

Abstract

Naive Bayes model analysis to evaluate teacher quality based on the grades given by students with the variables of communication, mastery of material, teacher involvement, and teaching methods have an important role in determining student satisfaction assessments. The analysis results from the naive Bayes model show that student satisfaction tends to be higher for teachers who have good communication skills, strong mastery of the material, active involvement in the teaching and learning process, and the use of effective and innovative teaching methods. Therefore, to improve the quality of education, it is necessary to increase teacher competence in these four variables. In addition, the application of Naive Bayes model analysis can be an effective tool for identifying students who need improvement and development in analyzing student satisfaction. Naïve Bayes model analysis is used to predict the probability of student satisfaction based on the attributes involved. The results of the research show that analyzing and classifying student satisfaction assessments with good accuracy using the Naive Bayes model makes it easy to estimate the probability of satisfaction based on the attributes given. The results of research using the naive Bayes model with a probability of yes 0.0576 with a likelihood of yes and no getting a value of 0.6 while the probability of no is 0.0384 with a value of 0.4. for Normalization results 1 and Probability Value YES > Probability Value NO, Then Student Satisfaction with Teacher Performance is Satisfied with Teacher Performance.
Analysis of Measuring Student Satisfaction with Teacher Performance Assessment Using the Naive Bayes Model Irma Yurni; Arief Rahman; Zahratul Fitri
Multica Science and Technology (ACCREDITED-SINTA 5) Vol. 4 No. 1 (2024): Multica Science and Technology
Publisher : Universitas Mulia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47002/mst.v4i1.852

Abstract

Naive Bayes model analysis to evaluate teacher quality based on the grades given by students with the variables of communication, mastery of material, teacher involvement, and teaching methods have an important role in determining student satisfaction assessments. The analysis results from the naive Bayes model show that student satisfaction tends to be higher for teachers who have good communication skills, strong mastery of the material, active involvement in the teaching and learning process, and the use of effective and innovative teaching methods. Therefore, to improve the quality of education, it is necessary to increase teacher competence in these four variables. In addition, the application of Naive Bayes model analysis can be an effective tool for identifying students who need improvement and development in analyzing student satisfaction. Naïve Bayes model analysis is used to predict the probability of student satisfaction based on the attributes involved. The results of the research show that analyzing and classifying student satisfaction assessments with good accuracy using the Naive Bayes model makes it easy to estimate the probability of satisfaction based on the attributes given. The results of research using the naive Bayes model with a probability of yes 0.0576 with a likelihood of yes and no getting a value of 0.6 while the probability of no is 0.0384 with a value of 0.4. for Normalization results 1 and Probability Value YES > Probability Value NO, Then Student Satisfaction with Teacher Performance is Satisfied with Teacher Performance.
Co-Authors . Budiaman Adrian Indarti Agus Khobir Permana Akbar, Moch Malik Akrom, Akrom Ali Muhdor Alwi Fahruzy Nasution Amrulloh, Rifqi Angga Pratama Anindhita Satria Mahendra Ansari Harahap, Dedy Anugrah Dwi Putra Aulia Helmina Putri Aulia Ramadanisti Ayu Praditias Sumono Putri Ayu Purwarianti Budi Winarni Cut Nina Latisa Maura Damai Syah Halawa Dea Ayu Rahmadini Desi kusrini Diah Astuti Diman Ade Mulada Diman Ade Mulada Diman Ade Mulada, Diman Ade Ella Suzanna Elmi Nurvianti Epi Supriyani Siregar Erwan Efendi Fatin Nadifa Tarigan Febriyanti Darnis Ferry Herdianto Fitriyah Kusuma Devi Gunawan Wibisono Guntur Adham Syahputra Hendry Setyawans Sutedjo Heny Fitriani Humairo Aziza Humairo Aziza Husnawati Yahya Ika Amalia Imam Syahrobani Irma Yurni Jayen, Fredy Jemmy Najoan Jihan Pratiwi Ketut Ayusia Madewi Khairul Fadly Kurnia Nur Widyasari kusrini, Desi kusrini Mahsina Maria G.M. Polii Maria Haryanti Butarbutar Miftahus Sholihin Muchlis Saputra Mudatstsir, Mudatstsir Muhammad Aqil Al Munawar Muhammad Habibie Al-Hamzah Muhammad Syapari Mulyadi Abdul Wahid Neni Nuraini Neni Nurhayati Nofridayati Nofridayati Pandu Rochman Suosa Putra Pelita Ramadhaniah Priyo Susilo R Dewi Mutia Farida Ragiel Pangestu Rahmat Novrianda Dasmen Rahmawati Rahmawati Reni Rohidin Rohidin Rossy Mirasari Sahdin Hasibuan Sapriyadi, Wandi Shinta Andriyani Shinta Andriyani Sri Djuniati Sri Ngapiyatun Srilasmawanti Srilasmawanti Sritomo Wignjosoebroto Sukariyan Sumarno Sumarno Supanca Ade Putri Syafi’I Tina Lestari Tuti Tursilah Wahyuni, Neneng Warto Utomo Wartomo Wiwiek Wahyuningsih Wiwiek Wahyuningsih Yulian Ansori Zahratul Fitri