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All Journal TEKNIK INFORMATIKA Tahkim (Jurnal Peradaban dan Hukum Islam) Infotech Journal Muamalah ELT Forum: Journal of English Language Teaching Sinkron : Jurnal dan Penelitian Teknik Informatika Jurnal Pilar Nusa Mandiri Jurnal Mantik Penusa JMM (Jurnal Masyarakat Mandiri) Jurnal Informatika Universitas Pamulang JITTER (Jurnal Ilmiah Teknologi Informasi Terapan) Computer Based Information System Journal Krea-TIF: Jurnal Teknik Informatika Jurnal Riset Informatika Jurnal Mantik Jurnal Pengabdian Masyarakat Asia ETNIK : Jurnal Ekonomi dan Teknik Journal Of Business, Finance, and Economics (JBFE) Indonesian Journal of Informatic Research and Software Engineering SAINSTECH: Jurnal Penelitian dan Pengkajian Sains dan Teknologi Bandung Conference Series : Islamic Family Law Profit: Jurnal Manajemen, Bisnis dan Akuntansi Jurnal Mahasiswa Manajemen dan Akuntansi Cerdika: Jurnal Ilmiah Indonesia Jurnal Pengabdian Pada Masyarakat Jurnal Pengabdian Masyarakat Bangsa Journal of Accounting Taxing and Auditing (JATA) Jurnal Inovatif : Inovasi Teknologi Informasi dan Informatika Jurnal Pengabdian Masyarakat Nasional
Jejen Jaenudin
Universitas Ibn Khaldun Bogor
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Journal : TEKNIK INFORMATIKA

 1 
Machine Learning for the Model Prediction of Final Semester Assessment (FSA) using the Multiple Linear Regression Method Rachmawati, Fitria; Jaenudin, Jejen; Ginting, Novita Br; Laksono, Panji
JURNAL TEKNIK INFORMATIKA Vol. 17 No. 1: JURNAL TEKNIK INFORMATIKA
Publisher : Department of Informatics, Universitas Islam Negeri Syarif Hidayatullah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15408/jti.v17i1.28652

Abstract

Corona virus (COVID-19) is the reason behind the collapse of the National Assembly. The first is the Final Semester Assessment (FSA) , which is a component of the student's graduation. The aforementioned evaluation process is a crucial consideration for the teacher since it uses several intricate surveys and mark components. A prediction model is employed to assist teachers in providing suitable results for student learning. The method that is used is called the multiple linear regression. This multiple linear regression algorithm yields an accuracy level of approximately 92%. The analysis results using the method are used as a guide to understanding student’s index. This index is a rating that appears based on the Minimum Credit Count (MCC). Therefore, the goal of this study is to determine students' understanding of the FSA prediction value, which will be taken into consideration through the results of the MCC weights in the form of a range in the form of "Grade." Additionally, the research aims to determine the accuracy of the results from the model obtained using multiple linear regression algorithms in predicting students' FSA.
Co-Authors Abdul Qodir Jaelani Aeni, Desri Nurul Agnes, Kelvin Trio Akmal Nauri Akmal, Rizki Kristia Ali Ashabulah Andriansyah, Muhamad Fikri Ardiansyah, Dicky Bhaktiar, R. Enough Dadan Hidayat Dahlia Widhyaesteoty Dahlia Widhyaesteoty Dahlia Widhyaestoeti Deni Mahdiana Dewi Primasari Didik Setiyadi EKO WAHYUDI Elfrida Ratnawati Evan, Irsan Jossy Farhana, Nurulita Fathih Miftahul Asror Fatimah Azzahra Fauzidwiseptiawan Fawzi, Ramdan Fety Fatimah Fithri Muliawati Fitria Rachmawati Gibtha Fitri Laxmi Hadi Rosadi Handy Wiguna Putra Hendrawan, A. Hendri Herlina Herlina Hersanto Fajri Hudjimartsu, Sahid I Gusti Bagus Wiksuana Ibnu Zaki Ida Ayu Putu Sri Widnyani Ikhsan, Safaruddin Hidayat Al Indra Rukmana Irfan Sophan Himawan Laksono, Panji Leny Tritanto Ningrum Leny Tritanto Ningrum Leny Tritanto Ningrum Mamay Maesaroh Mamay Maesaroh Mohamad Tirta Negara Muhamad Alfian Yusuf Muhamad Alfian Yusup Muhamad Isha Wisnu Brata Muhammad Syauqi Farid Mulyeni, Sri Nastiti Rizky Shiyammurti Neni Faridoh Ningrum, Leny Tritanto Novita Br Ginting Nuari, Ris Ayu Nugraha, Hari Satia Nugraha, Yoga Nur, Reza Rahim Nurul Kamilah Perdana Bagja Kusumah Pratama, Aldi Pudjo Widodo, Prabowo Puspa Eosina Rachmawati, Diana Widhi Rifqi Adzkiyya Rini Handayani Rizki Kristia Akmal Rohma Umaysaroh, Nur Safaruddin Hidayat A Safaruddin Hidayat Al Ikhsan Samsuri Samsuri Septian, Ihsan Septyan Dwianto Siska Lis Sulistiani Siti Aisyah Suratun Suratun Susilo, Tri Agung Susilo Syarif, Zulkarnaen Noor Tri Agung Susilo Widhyaestoeti, Widhyaestoeti Wulandari, Berlina Yuggo Afrianto Yunianto, Aditya yusup kurniawan Zahran, Aziz Zakiah, Fitri Zulkarnaen Noor Syarif Zulkarnaen Noor Syarif