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All Journal Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Pendas : Jurnah Ilmiah Pendidikan Dasar Jurnal Sistem Cerdas Jurnal Informatika Global Antivirus : Jurnal Ilmiah Teknik Informatika Jurnal Informatika dan Rekayasa Elektronik Jatilima : Jurnal Multimedia Dan Teknologi Informasi Jurnal Ilmiah Manajemen Kesatuan Jurnal FASILKOM (teknologi inFormASi dan ILmu KOMputer) Instal : Jurnal Komputer Jurnal Pengabdian Masyarakat Aufa (JPMA) BERKAT: Jurnal Pemberdayaan Masyarakat Jurnal Manajemen dan Bisnis Jurnal Rechten : Riset Hukum dan Hak Asasi Manusia Jurnal Teknik Informatika Journal of Information Systems and Technology Research Journal of Government Insight Data Sciences Indonesia (DSI) Jurnal Adijaya Multidisiplin International Journal of Business English and Communication (IJoBEC) Jurnal Rekayasa Sistem Informasi dan Teknologi Jurnal Komputer dan Teknologi (JUKOMTEK) Jurnal Pengabdian Masyarakat The Indonesian Journal of Computer Science Jurnal Pengabdian Kepada Masyarakat Ilmu Komunikasi Jurnal Pustaka Cendekia Hukum dan Ilmu Sosial JPEMAS: Jurnal Pengabdian Kepada Masyarakat Jurnal Ekonomi dan Bisnis JPT : Jurnal Pendidikan Tematik Jurnal Pembina Bianglala Informatika
Armansyah
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Journal : Jurnal Informatika Global

 1 
MODEL PERCEPTRON UNTUK KLASIFIKASI KEPUASAN MAHASISWA TERHADAP ASISTEN LABORATORIUM KOMPUTER Rifaldy, Faqih; Armansyah
Jurnal Ilmiah Informatika Global Vol. 16 No. 1: April 2025
Publisher : UNIVERSITAS INDO GLOBAL MANDIRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36982/jiig.v16i1.5198

Abstract

Currently, student speculation on the performance of laboratory assistants varies greatly because there is no definitive data on their performance. Some students think that laboratory assistants do not do their job or speculate otherwise. The purpose of this study is to use a machine learning approach based on the Perceptron model to examine the level of student satisfaction with the services of computer laboratory assistants. Due to its effectiveness in binary classification, the Perceptron model was chosen. Using a questionnaire with two answer categories - “Yes” for satisfied and “No” for dissatisfied - 67 students at UIN SU's Computer Science Study Program provided survey results. Afterwards, the data underwent pre-processing steps such as normalization, numerical coding, and separation into training (80%) and testing (20%) data. Based on the training results, the Perceptron model consistently achieved 86% accuracy in both classes in terms of precision, recall, and F1-score. The strong performance of the model in identifying students' happiness and dissatisfaction is shown by the Confusion Matrix ranking. Both precision and recall were 88% for the “Dissatisfied” class and 83% for the “Satisfied” class. This shows that even with an unequal number of samples across classes, the model can effectively identify patterns in the data. The consistent performance of the model proves the effectiveness of this method in assessing the quality of laboratory assistant services. To improve learning in the laboratory, this research significantly advances the development of machine learning applications. Testing on larger and more varied datasets is recommended for additional validation to ensure the generalizability of the model.
Co-Authors @ Rosbi, Azmi Bin Juadi A Halim Abdul Basyid Abdul Halim Hasugian Abdullah, Muh. Tang Adams Jonemaro, Eriq Muhammad Afrili, Roland Dika Ahmad Sulaiman ahmad yani Aidil Halim Lubis Aldi Dohardo Alwi Alwi Andi Yusuf Ansharuddin Aprilia, Dila Kharisma Arif Siaha Widodo Asma Suryani Hasibuan Aulia Rumondasari Ayu Nurmasari Bin Abdul Ghani, Ts. Mohd. Azri Buchari Nurdin Cendana Wati Sihombing Charly Marlinda Chartady, Rachmad Dahlia Khairani Harahap Deswira lianda Sari harahap Devi Ayu Eprida Nasution Erningsih Erningsih Eva Mora Hasibuan Ezy Pratama Fachry Abda El Rahman Fadilla Maharani Putri fandi, Fandi Ahmad Fatahuddin Fatimah Nadratul Hakim Fauziah Siregar Hapisfatly Sir Harahap, Lailan Sofinah Herman Herman Tolle Ibnu Hajar Ides Sagita Ilka Zufria Ilka Zurfia Insani, Tasya Mutia Irianto, Achmad Irwan Gunawan Jelita Sitepu, Anggi Karimatunnisa Matondang Kautsar, Afthar Khairia Shiva Namira Khalizah, Siti Korompot, Chairil Anwar Lestari, Ayu Dwi Lubis, Ahmad Rizaldy Matondang, Toibatur Rahma Mhd Furqan Mhd Raja Doly Bahari Muhammad Delfy Zakaria Muhammad Rizky Putra Adipradana Muhammad Siddik Hasibuan Munali, Yazid Muqtafin Novlianun Dly Nur Shafwa Aulia Sitorus Panjaitan, Jumita Sari Panjaitan, Nurhalimah Putri, Anggia Sekar Rahma Fitri Rahmat Syair Habibi Ramadhan Nasution, Yusuf Rifaldy, Faqih Rifqi Al Fauzan, Muhammad Rifqi, Muhammad Rifqi Al Fauzan Risky, T. Tanzil Azhari Riswanto Ritonga , Meini Syakinah Rizki, Puput Fadhilah Saputra, Eko Murti Sriani Suhardi, Suhardi Sukardi Weda Sumardin Sumartono Supi Ramadani, Wily Surti Wardani Syahputro, Satrio Bimo Tamaulina Br Sembiring tanjung, rona Taqa, Dara Thia Putri Ramadani Wardana, Nikolaus Daka Yulistia , Anita Yuritanto, Yuritanto Zasrianita, Fera