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Journal : JOIV : International Journal on Informatics Visualization

Exploring Classification Algorithms for Detecting Learning Loss in Islamic Religious Education: A Comparative Study Sapdi, Rohmat Mulyana; Maylawati, Dian Sa'adillah; Ramdania, Diena Rauda; Budiman, Ichsan; Al-Amin, Muhammad Insan; Fuadi, Mi'raj
JOIV : International Journal on Informatics Visualization Vol 8, No 2 (2024)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/joiv.8.2.1823

Abstract

This study investigates the detection of learning loss in Islamic religious education subjects in Indonesia. Focusing on the effectiveness of multiple classification algorithms, the research assesses learning loss across literacy, numeracy, writing, and science domains. While education traditionally involves knowledge transmission, it also seeks to instill values. Given Indonesia's predominantly Islamic demographic, Islamic Religious Education (IRE) is pivotal in disseminating moral and cultural values, encompassing teachings from the Koran, Hadith, Aqedah, morality, Fiqh, and Islamic history. The study's central aim is to discern learning loss in IRE in Islamic schools, utilizing the Gradient Boosting Classifier as its primary analytical tool. Various classification algorithms, including the Cat Boost Classifier, Light Gradient Boosting Machine, Extreme Gradient Boosting, and others, were tested. The study engaged a sample of 38,326 Islamic Elementary school students, 29,350 Islamic Junior High school students, and 13,474 Islamic High school students across Indonesia. The findings revealed that the Light Gradient Boosting Machine was the most effective model for Islamic Elementary and High school data, while the Cat Boost Classifier excelled for Islamic Junior High school data. These results highlight the extent of learning loss in IRE and offer invaluable perspectives for education stakeholders. Future studies are encouraged to further explore the root causes of this learning loss and devise specific interventions to tackle these issues effectively.
Co-Authors Abyan Nur Fauzi Afni, Nur' Agriananta Fahmi Hidayat Ahlan Ahlan Alfi Mawadah Amalia, Anugerah Fitri Amuddin Amuddin Amuddin, Amuddin Antesty, Sella Aqidah, Fitratul Asih Priyati Ayu Widhiantari, Ida Ayu, Hanifah De Side, Gagassage Nanaluih Diena Rauda Ramdania Dody Handito Dody Handito Dwi Putra Buana Sakti DWI SANTOSO Elya Antariksana Bachmida Fakhrul Irfan Khalil FATIMA, SITI Firman Fajar Perdhana Fitrah Sugiarto Fitrah Sugiarto Guyup Mahardhian Dwi Putra Hairul Azmi, Muhamad Halimatul Ulfa Ru'ya' Husnan Hadi I Wayan Sweca Yasa I Wayan Sweca Yasa Ichsan Budiman Ince Siti Wardatullatifah Ince Siti Wardatullatifah S. Ines Marisya Dwi Anggraini Ines Marisya Dwi Anggraini Joko Sumarsono Khaerul Azhar Khaerul Rizal, Muhammad Kurniawan Yuniarto Kurniawan Yuniarto Kusmiah, Nurhaya Lalu Unsunnidhal Lalu Unsunnidhal Lilik Sutiarso Lukman Hakim Lukman Hakim M. Azhar Mustafid Made Gendhis Putri Pertiwi Made Gendis Putri Pertiwi Made Gendis Putri Pertiwi Maylawati, Dian Sa'adillah Ma’wa, Miftahil Mita Sari Ningsih Mohammad Fajar Septian Muhammad Insan Al-Amin Mutia Devi Ariyana Mutia Devi Ariyana, Mutia Devi Nurul Aen OKI SAPUTRA Oki Saputra Oki Saputra Pavalee Chompoorat Tridtitanakiat Puspitasari, Isnaini Qabul Dinanta Utama Radi Radi Rahman Yazid Tabrani Reza Kusuma Nurrohman Riezka Zuhriatika Rasyda Riezka Zuhriatika Rasyda Rohmat Mulyana Sapdi Rosyid Ridho Sella Antesty Sella Antesty Setyaning Pawestri Sirajuddin Haji Abdullah Sri Widyastuti Surya Abdul Muttalib Surya Abdul Muttalib, Surya Abdul Tridesi Rhamdani Sumantri Wahyudi Zulfikar Wahyudin Darmalaksana Wardatullatifah, Ince Siti Wenny Amaliah Wenny Amaliah Widhiantari, Ida Ayu Wiwin Apriyanditra Yesica Marcelina Romauli Sinaga Yessica Romauli Sinaga Yuhendra AP