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All Journal Majalah Ilmiah METHODA JURNAL PENGABDIAN MASYARAKAT AKADEMISI
Yusuf Ijonris
Universitas Methodist Indonesia
Religion Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Languange, Linguistic, Communication & Media Medicine & Pharmacology Public Health Social Sciences

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Sistem Pendukung Keputusan Penentuan Role Atlet Esports Provinsi Sumatera Utara Menggunakan Pendekatan Machine Learning Tamado Simon Sagala; Yusuf Ijonris; Nettina Samosir
Majalah Ilmiah METHODA Vol. 15 No. 3 (2025): Majalah Ilmiah METHODA
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46880/methoda.Vol15No3.pp313-321

Abstract

The continuous growth of esports as a technology-driven competitive activity has increased the demand for professional team management, particularly in assigning suitable roles to athletes based on their individual skills. One of the major challenges faced by coaches is determining athlete roles objectively, as this process is often influenced by subjective judgment and lacks support from systematic data analysis. To address this issue, this study aims to develop a decision support system for determining esports athlete roles in North Sumatra Province by utilizing machine learning approaches. This research applies several classification methods, namely K-Nearest Neighbor (KNN), Naive Bayes, and Support Vector Machine (SVM). The dataset used in this study consists of performance data for esports athletes that have undergone preprocessing stages and are divided into training and testing sets. The evaluation of model performance is conducted using standard classification assessment metrics to compare the effectiveness of each algorithm. The findings show that the KNN and SVM algorithms are better at classifying esports athletes' roles than the Naive Bayes algorithm. These two methods yield more stable and dependable results, rendering them more appropriate for facilitating decision-making processes concerning athlete role assignment. This study is expected to provide practical support for coaches and relevant stakeholders in making objective and data-driven decisions regarding the determination of esports athlete roles. Furthermore, future research can enhance the proposed system by increasing the amount of data and exploring other machine learning techniques to improve overall system performance
Pelatihan Learning Mangemen System (LMS) pada SMA Negeri 3 Lintong Nihuta Mendarissan Aritonang; Yusuf Ijonris; Erika Nora Simamora; Jhoni Maslan Hutapea; Posma Lumban Raja; Elisabeth Sitepu; Nurlaidy J. Simamora; Fati Gratianus Nafiri Larosa; Nettina Samosir; Veraci Silalahi; Imelda Sri Dumayanti Sinaga; Pebrin Lumban Toruan; Jon Kristiansah Silaban; Sartika Mariani Simanjuntak
JURNAL PENGABDIAN MASYARAKAT AKADEMISI Vol. 4 No. 3 (2026): JULI : JURNAL PENGABDIAN MASYARAKAT AKADEMISI
Publisher : CV. ALIM'SPUBLISHING

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59024/jpma.v4i3.2379

Abstract

The development of information technology has accelerated digital transformation in education, including the utilization of Learning Management Systems (LMS) as learning media. However, the understanding and skills of teachers and students in using LMS platforms still need improvement, particularly at SMA Negeri 3 Lintongnihuta. Therefore, the Faculty of Computer Science, Universitas Methodist Indonesia Medan, conducted a Community Service Program in the form of Moodle LMS training for teachers and students. The activity was implemented through training and mentoring methods, including material presentations, Moodle demonstrations, hands-on practice, discussions, and evaluations. The results showed an improvement in participants’ understanding and skills in managing digital classrooms, uploading learning materials, administering assignments, and utilizing Moodle’s assessment features. In addition to enhancing technical competencies, the program also promoted digital literacy and increased awareness of the importance of digital transformation in education. Teachers and students became better prepared to utilize technology as an effective, interactive, and flexible learning tool. Therefore, Moodle LMS training can be considered an effective strategy for supporting the development of digital learning environments in schools.
Co-Authors Elisabeth Sitepu Erika Nora Simamora Fati Gratianus Nafiri Larosa Imelda Sri Dumayanti Sinaga Jhoni Maslan Hutapea Jon Kristiansah Silaban Mendarissan Aritonang Nettina Samosir Nurlaidy J. Simamora Pebrin Lumban Toruan Posma Lumban Raja Sartika Mariani Simanjuntak Tamado Simon Sagala Veraci Silalahi