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All Journal Arcitech: Journal of Computer Science and Artificial Intelligence ABDIMAS NUSANTARA
Makhfuddin Akbar, Ronny
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Computer Science & IT Economics, Econometrics & Finance Social Sciences

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Penerapan Predictive Analytics untuk Analisis Faktor-faktor yang Mempengaruhi Performa Akademik Siswa Yanuarini Nur Sukmaningtyas; Makhfuddin Akbar, Ronny; Rohma Utami Asyafiiyah, Gita
Arcitech: Journal of Computer Science and Artificial Intelligence Vol. 4 No. 2 (2024): December 2024
Publisher : Institut Agama Islam Negeri (IAIN) Curup

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29240/arcitech.v4i2.12048

Abstract

Education in Indonesia currently faces several challenges, particularly the inequality of educational facilities in rural areas, leading to lower academic achievement compared to urban students. This study differs from previous research that focused solely on machine learning with academic data. Using a data-driven predictive analytics approach, the research aims to analyze factors influencing student academic performance, such as study hours, sleep hours, previous scores, and extracurricular involvement. Several machine learning algorithms including Linear Regression, Support Vector Regression (SVR), Random Forest, K-Nearest Neighbors (KNN), and XGBoost were employed to build the prediction model. The results indicated a significant correlation of 0.92 between previous scores and academic performance. Among the five algorithms, the XGBoost model demonstrated superior performance compared to the others. This highlights the effectiveness of the XGBoost model in predicting factors that affect students' academic performance and its potential as a tool for educators to develop more effective learning strategies, ultimately aiming to enhance students' academic achievements significantly.
Pelatihan Tenaga Pendidik dan Tenaga Kependidikan dalam Pengelolaan Administrasi Melalui E-Workshop Rosita, Yesy Diah; Makhfuddin Akbar, Ronny; Indra Kurniawan, Fajar; Rudiyanto, M. Adik
ABDIMAS NUSANTARA: Jurnal Pengabdian Kepada Masyarakat Vol. 5 No. 1 (2023): ABDIMAS NUSANTARA (Juli)
Publisher : Fakultas Ekonomi Universitas Islam Majapahit

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Abstract

The competence of the community, especially educators and educational staff in data processing can influence a decision-maker's decision to set academic policies. Solid working hours limit them to try to improve their competence. The types of competencies needed by the community are different. Therefore, market analysis is required by publishing a training offer with a choice of types of competencies and the time of implementation of activities as needed. The training offered is online-based or can be called an e-workshop due to the limited time of educators and education staff. In addition, the purpose of the activity is to provide training and assistance to communities outside Mojokerto Regency. The results of E-workshop registration show that participants need competency in data processing with MS. Word and MS. Excel. Based on the participants' participation in 10 meetings with various sessions and 4 resource persons who provided materials that support their profession, the enthusiasm level of the participants can be said to be more than 70% so that it can be said that E-workshop-based training has quite good benefits for participants who have limited time.
Co-Authors Indra Kurniawan, Fajar M. Adik Rudiyanto Rohma Utami Asyafiiyah, Gita Yanuarini Nur Sukmaningtyas