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All Journal Jurnal Masyarakat Madani Indonesia Pascal: Journal of Computer Science and Informatics
Kennedi Tampubolon
STMIK Mulia Darma
Humanities Computer Science & IT Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Library & Information Science Public Health Social Sciences

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Penguatan Kompetensi Digital Guru di Yayasan Pendidikan Citra Mandiri Medan Berbasis Teknologi Agam Sinaga; Nikous Soter Sihombing; Tety Octora Paulina Br Sitohang; Kennedi Tampubolon
Jurnal Masyarakat Madani Indonesia Vol. 5 No. 3 (2026): Agustus (In Progress)
Publisher : Alesha Media Digital

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59025/v3xxx498

Abstract

Perkembangan teknologi digital dalam dunia pendidikan menuntut guru untuk memiliki kompetensi digital yang memadai dalam merancang media, melaksanakan evaluasi, dan mengelola pembelajaran berbasis teknologi. Kegiatan pengabdian kepada masyarakat ini bertujuan untuk meningkatkan kompetensi digital guru di Yayasan Pendidikan Citra Mandiri Medan melalui pelatihan dan pendampingan berbasis teknologi. Metode pelaksanaan dilakukan melalui tahapan identifikasi kebutuhan, pelatihan interaktif, praktik langsung, serta evaluasi hasil pelatihan. Materi pelatihan mencakup perancangan media pembelajaran digital, penggunaan platform evaluasi berbasis teknologi, serta pengelolaan pembelajaran menggunakan aplikasi digital. Hasil kegiatan menunjukkan adanya peningkatan pemahaman dan keterampilan guru dalam memanfaatkan teknologi pembelajaran secara efektif. Guru mampu mengembangkan media pembelajaran digital yang lebih interaktif serta melakukan evaluasi pembelajaran berbasis teknologi dengan lebih sistematis. Kegiatan ini memberikan dampak positif terhadap peningkatan kualitas pembelajaran di lingkungan yayasan. Dengan demikian, penguatan kompetensi digital guru menjadi langkah strategis dalam mendukung transformasi pembelajaran berbasis teknologi di era digital. Hasil evaluasi menunjukkan adanya peningkatan rata-rata kompetensi digital guru sebesar 27%, ditandai dengan kenaikan nilai rata-rata pre-test dari 64,8 menjadi 82,3 pada post-test, serta tingkat kepuasan peserta mencapai 92%, yang menunjukkan efektivitas pelatihan berbasis teknologi
A SAW-Based Decision Support System for Selecting Final Project Topics in the Informatics Management Department at STMIK Mulia Darma Kristian Siregar; Edward Robinson Siagian; Kennedi Tampubolon
Pascal: Journal of Computer Science and Informatics Vol. 3 No. 01 (2025): Pascal: Journal of Computer Science and Informatics
Publisher : Devitara Innovations

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Selection of Final Project Topics is a crucial stage in the academic process, as it significantly affects the smoothness of project preparation and completion. However, the determination of final project topics often remains subjective and does not systematically consider students’ academic abilities. This study aims to design and develop a Decision Support System for selecting final project topics for students in the Informatics Management Department using the Simple Additive Weighting (SAW) method. The SAW method is employed to evaluate and rank alternative topics based on several criteria, including supporting course grades, student interest, programming skills, system analysis and design capabilities, and the availability of supervising lecturers. The results indicate that the SAW method can provide objective and transparent recommendations for final project topics. Based on the calculation, alternative A4 achieved the highest preference score of 0.962, making it the most recommended final project topic. Therefore, the developed system is expected to assist both students and academic staff in making more effective and structured decisions regarding final project topic selection.
Co-Authors Agam Sinaga Edward Robinson Siagian Kristian Siregar Nikous Soter Sihombing Tety Octora Paulina Br Sitohang