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All Journal El-HARAKAH : Jurnal Budaya Islam Bulletin of Electrical Engineering and Informatics AL-TA´LIM Jurnal Pelangi Al Fikra : Jurnal Ilmiah Keislaman J-PAI: Jurnal Pendidikan Agama Islam Jurnal Dakwah: Media Komunikasi dan Dakwah Al Ishlah Jurnal Pendidikan Juring (Journal for Research in Mathematics Learning) JURNAL PENDIDIKAN TAMBUSAI Global Conference Index Al-Ta'lim Jurnal Pendidikan dan Konseling Instructional Development Journal El Banar: Jurnal Pendidikan dan Pengajaran Jurnal Sakinah : Journal of Islamic and Social Studies Jurnal Kependidikan: Jurnal Hasil Penelitian dan Kajian Kepustakaan di Bidang Pendidikan, Pengajaran dan Pembelajaran Orien: Cakrawala Ilmiah Mahasiswa Education Achievement: Journal of Science and Research Idarah Tarbawiyah: Journal of Management in Islamic Education Tarbiyah Wa Ta'lim: Jurnal Penelitian Pendidikan dan Pembelajaran Jurnal Educative: Journal of Educational Studies Jurnal Fuaduna: Jurnal Kajian Keagamaan dan Kemasyarakatan Tsaqofah: Jurnal Penelitian Guru Indonesia YASIN: Jurnal Pendidikan dan Sosial Budaya ANWARUL: Jurnal Pendidikan dan Dakwah Penamas Journal of Artificial Intelligence and Digital Business AHKAM : Jurnal Hukum Islam dan Humaniora KOLONI Indonesian Research Journal on Education Educativo: Jurnal Pendidikan Innovative: Journal Of Social Science Research Madani: Multidisciplinary Scientific Journal Asian Journal of Islamic Studies and Da'wah Murid : Jurnal Pemikiran Mahasiswa Agama Islam Jurnal Global Ilmiah ECCE: Jurnal Pendidikan Pastoral Kateketik Jurnal Faidatuna
Muhiddinur Kamal
Institut Agama Islam Negeri (IAIN) Bukittinggi
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Journal : Bulletin of Electrical Engineering and Informatics

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Machine learning techniques for analyzing student’s performance in Islamic Studies Ramadani, Laili; Ardinal, Eva; Kamal, Muhiddinur; Ritonga, Mahyudin; Julhadi, Julhadi; Kardi, Juliwis; Nuraiman, Nuraiman
Bulletin of Electrical Engineering and Informatics Vol 15, No 2: April 2026
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v15i2.8029

Abstract

Many learning institutions and organizations are currently faced with the acute burden of trying to forecast the academic performance of their students. This paper reflects the application of machine learning tools to discuss the potential and performance of students in Islamic Studies. The framework suggested in this paper, will start with the acquisition of the historical data of the students in the input dataset. First, the forward selection wrapper method is used to select the most meaningful features thus eliminating the redundant qualities in the set of student data. Three types of classifiers are then used to create a classification model based on fuzzy support vector machines (SVM), K-nearest neighbors (K-NN), and Naive Bayes. In such a methodological approach, academic performance is predicted and results measured according to certain criteria. According to results of the experiment, it is noted that feature selection-fuzzy support vector machine (FS-fuzzy SVM) has an excellent accuracy of 99.9% with a sensitivity of 98.50% and a specificity of 98.50% and it is therefore seen to be more effective in predicting the academic performance of students in Islamic Studies.
Co-Authors Adilman, Adilman Afrinaldi Afrinaldi Afrinaldi Aisyah Syafitri Aldila Rani Alfi Rahmi Alfi Rahmi, Alfi Alfionamora, Cindy Alif Rila Alimir, Alimir Amelia, Suci Riska Ananda, Arifan ANDIKA SAPUTRA Andy Riski Pratama Ardinal, Eva Arifmiboy, Arifmiboy Arman Husni Arriafdi, Muhammad Zainuddin bin Arrifaldi, Muhammad Zainuddin bin Asrina Mulyati Ayani, Misda Ayu Putri Ningsih Aziza, Nur Budi Santosa Budi Santosa Budi Santosa C, Charles Charles Charles Charles Charles Charles Charles Dafirsam, Dafirsam Darfius Darul Ilmi Darul Ilmi Desi Syafriani Dewita Purnama Sari Dinovia Fannil Kher Dodi Pasila Putra Dodi Pasila Putra Erfina, Sariaji Lina Fadhilla Yusri Fatmawati, Fatmawati Firman Firman Firman Firman Fitri Yatul Janah Fuadi, Hannah Gazali Gazali Gina Yuliani Haida Fitri Halomoan Ritonga, Cipto Hasan, Rahmat Hidayat Hawla, Nur Afni Hayati, Kasih Hayati, Mirna Hendrizal Hendrizal Hermaiza, Lisa Hilma Pami Putri Insany, M Habil Iswandi Iswandi Iswantir M Jahroida Jahroida Januar, Januar Jasmienti, Jasmienti Julhadi, Julhadi Juliandari, Raisa Juliwis Kardi Junaidi Junaidi Junaidi Junaidi Kartina Kartina Kartina Khairah, Tahnia Mafatihul Khairina, Jamila Latifa, Maysa Lidia Putri Lili Sri Diana Rkt Linda Yarni M. Imamuddin Mahyudin Ritonga Maryani, Eka Mitri Safrianti Muaddyl Akhyar Muhammad Ridho Muharani, Aulia Muharani, Riri musnaini musnaini Nelmaya Nelmaya Nita Ervita Nofita, Elsa Nofri Andy Nofri Andy N Nova Yanti Novel, Ismail Nur Annisa Nuraiman, Nuraiman Nuraisyah Nuraisyah Nurul Fajri Oktavia, Titin Pendi Hasibuan Penmardianto Prasetyawan, Dhicky Pratiwi, Desi Dwi Putri, Etiya Putri, Yesi Eka Qori Maulida, Gusti Rahayu, Kiki Silvia Rahayu, Nuraini Putri Rahma Dona, Rahma Rahmiati Rahmiati Ramadani , Laili Ramadani, Hani Ramadani, Rezki Rasyidah, Hani Refina Oktavianda Rezi, Muhamad Ririta, Ririta Rizal, Eka Rizki, Arif Aulia Rkt, Lili Sri Diana Rohdi, Nur Ulfa Salmi Wati Salmi Wati Salmiwati , Salmiwati Salmiwati Salmiwati Salmiwati, Salmiwati Sandi, Ahmad Egil Saputri, Silvia Sari, Dewita Purnama Sari, Monica Didola Sari, Novia Eka Sarwo Derta Septianto, Dio Shafra Shafra Silfia Hanani Silvia Angraini Fauzi Siregar, Agung Darmawan Siregar, Nurmawarni Siti Nurfatirah Sulong, Abdul Ramae Supratman Supratman Supratman, Supratman Syafitri, Aisyah Syafrin, Yulia Syafrio Roni Wirdayat Syafrudin Syafrudin Syafwan Rozi Taufik, Muhammad Taufina Taufik Uswatul Hasanah Vina Hermawati Wati, Salmi Wati, Sri Nadia Wedra Aprison Winanda, Tri Windha WINDHA WINDHA Yanti, Rahma Yelfi Dewi Yelnita Putri Z. Mawardi Effendi Zakir, Supratman Zubir, Muhammad Zulfani Sesmiarni