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Effects of Scratch Gamification with MDA on Students’ Engagement and Learning Outcomes Sembiring, Agustinus; Jusuf, Heni; Santoso, Handri
Formosa Journal of Computer and Information Science Vol. 5 No. 1 (2026): March 2026
Publisher : PT FORMOSA CENDEKIA GLOBAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55927/fjcis.v5i1.16434

Abstract

This study aims to examine the effect of Scratch-based gamification using the MDA (Mechanics–Dynamics–Aesthetics) model on students’ engagement and learning outcomes in primary education. A quasi-experimental method with a pretest–posttest design was applied to 115 students. Data were collected through tests and questionnaires and analyzed using paired sample t-tests and descriptive analysis. The results showed a significant improvement in learning outcomes, with a mean pretest score of 56.84 and posttest score of 71.03 (t = -26.57; p < 0.001). In addition, students’ engagement was categorized as high (mean = 3.73). These findings indicate that Scratch-based gamification integrated with the MDA model is effective in improving learning quality.
Penguatan Komunitas GSCC melalui Pelatihan dan Pendampingan Manajemen Event Berbasis Kolaborasi Kampus Jusuf, Heni; Sarinah, Lisa; Setyowati, Irma; Kurniawan, Oki; Indrianti, Pingki; Mitra, Aditya R.; Lazarusli, Irene Astuti
Jurnal Pengabdian kepada Masyarakat TEKNO (JAM-TEKNO) Vol 7 No 1 (2026): Juni 2026 In Progress
Publisher : Ikatan Ahli Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29207/jamtekno.v7i1.7815

Abstract

Kegiatan pengabdian kepada masyarakat ini bertujuan meningkatkan kapasitas komunitas Gedong Sinder Creative Center (GSCC) dalam mengelola event secara profesional melalui pelatihan dan pendampingan berbasis kolaborasi perguruan tinggi. Program dilaksanakan di Desa Kasomalang Kulon, Kabupaten Subang, Jawa Barat dengan melibatkan empat perguruan tinggi dan 30 peserta komunitas GSCC. Metode pelaksanaan menggunakan pendekatan participatory action research (PAR) melalui tahapan identifikasi kebutuhan, pelatihan, pendampingan, evaluasi, dan tindak lanjut. Materi pelatihan meliputi perencanaan event, penyusunan proposal kegiatan, mitigasi risiko, pengelolaan organisasi event, serta pengembangan merchandise sebagai media branding komunitas. Evaluasi dilakukan menggunakan pre-test dan post-test, observasi partisipatif, wawancara, dan survei kepuasan peserta. Hasil kegiatan menunjukkan peningkatan pemahaman peserta terkait manajemen event sebesar 38%, kemampuan penyusunan proposal kegiatan sebesar 42%, dan pemahaman mitigasi risiko sebesar 40%. Selain itu, peserta mampu menyusun rancangan event secara lebih sistematis dan memahami pentingnya struktur organisasi dalam pelaksanaan kegiatan komunitas. Kegiatan ini membuktikan bahwa pendekatan kolaboratif dan partisipatif mampu meningkatkan kapasitas komunitas kreatif desa secara berkelanjutan. Program lanjutan berupa pendampingan intensif dan penguatan jejaring kemitraan diperlukan untuk memastikan keberlanjutan implementasi hasil pelatihan.
Strengthening Local Disaster Response in Aceh, North Sumatra, and Padang Through AQRF-Based Occupational Mapping: A Rapid Assessment Study Heni Jusuf; Lijan Poltak Sinambela
INTERNATIONAL JOURNAL OF ECONOMICS AND MANAGEMENT REVIEW Vol 4 No 1 (2026): Current issue 10
Publisher : SMARTINDO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58765/ijemr.v4i1.379

Abstract

Purpose - Indonesia's vulnerability to disasters necessitates a more structured and competency-based approach to emergency response. This study investigates the application of the ASEAN Qualifications Reference Framework (AQRF) in occupational mapping for disaster management in three high-risk provinces: Aceh, North Sumatra, and Padang. Design/methodology/approach - Using the Rapid Assessment Process (RAP), qualitative data were collected through interviews, document analysis, and field observations. The data were analyzed using the four functional areas of disaster management defined in the AQRF: preparedness, response, recovery, and mitigation. Originality -  his paper contributes to the growing discourse on professionalizing disaster response through structured competency frameworks. It offers localized insights for implementing regional frameworks like AQRF in decentralized disaster governance settings. Findings and Discussion - The study identifies significant institutional gaps in disaster workforce planning, particularly the absence of defined occupational roles and certified competencies. AQRF-based occupational mapping provides a viable model to enhance clarity, coordination, and capacity development in local disaster management agencies. Conclusion - AQRF-based occupational mapping holds significant potential to improve disaster management outcomes in Indonesia’s most vulnerable provinces. Integrating this framework into local policies and training systems can lead to more resilient, responsive, and professionally managed emergency response structures.  
Analysis of an Adaptive E-Learning System with the Adjustment of the Felder-Silverman Model in Moodle Heni Jusuf; Andiani
Journal of Systems Engineering and Information Technology (JOSEIT) Vol 3 No 1 (2025)
Publisher : Ikatan Ahli Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29207/joseit.v4i1.6435

Abstract

In the digital era, adaptive e-learning has become essential in addressing students’ diverse learning preferences. This study aims to develop an adaptive e-learning system that integrates the Felder-Silverman Learning Style model (FSLSM) into Moodle using fuzzy logic and case-based reasoning. The system extracts behavioral attributes from student activity logs and classifies learning styles into four dimensions: processing, perception, input, and understanding. The experimental evaluation, conducted with and without substitution of the (ILS) questionnaire values, demonstrated varying levels of accuracy. Accuracy improved with ILS substitution as follows: processing (82.86%), perception (80.00%), input (80.00%), and understanding (74.29%). Without ILS substitution, the accuracies were as follows: processing (80.00%), perception (80.00%), input (74.29%), and understanding (62.86%). These findings confirm the system’s potential to support personalized learning by accurately identifying learning styles.