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All Journal Voteteknika (Vocational Teknik Elektronika dan Informatika) Jurnal Geografi Jurnal Teknologi Informasi dan Pendidikan Progresif: Jurnal Ilmiah Komputer Suluah Bendang: Jurnal Ilmiah Pengabdian Kepada Masyarakat GUYUB: Journal of Community Engagement Andalasian International Journal of Applied Science, Engineering, and Technology CONSEN: Indonesian Journal of Community Services and Engagement International Journal of Multidisciplinary Research of Higher Education (IJMURHICA) Journal of Hypermedia & Technology-Enhanced Learning Journal of Innovative and Creativity Journal of Authentic Research
Sandra, Randi Proska
Universitas Negeri Padang
Religion Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Mathematics Mechanical Engineering Physics Public Health Social Sciences Other

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Improving the Competence of MGMP Informatics Teachers in Preparing Gamification-Based IBT in the Era of Education 5.0 Ika Parma Dewi; Lativa Mursyida; Ari Suriani; Ryan Fikri; Randi Proska Sandra; Akrimullah Mubai; Rizkayeni Marta
GUYUB: Journal of Community Engagement Vol 6, No 1 (2025): Maret
Publisher : Universitas Nurul Jadid

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33650/guyub.v6i1.9906

Abstract

The primary issue in technology-based learning assessment is the limited ability of teachers to utilize and develop gamification methods. Most teachers still rely on manual, paper-based evaluation techniques, resulting in suboptimal integration of technology in the assessment process. This challenge necessitates further exploration by education practitioners regarding the implementation of information technology (IT) in learning, particularly for MGMP Informatics teachers. This community engagement program, titled "Development of Internet-Based Testing (IBT) Using Gamification Learning Methods", was conducted at SMPN 1 Tanah Datar. The objectives of this program were to: (1) enhance technological literacy in the education sector; (2) strengthen interest and skills in technology literacy among MGMP Informatics teachers at the junior high school level in Tanah Datar Regency; and (3) improve teachers' ability to design internet-based assessment instruments using a gamification approach. The program was implemented using a participatory approach, comprising training sessions, interactive workshops, and hands-on practice in developing internet-based assessment tools. Participants were introduced to various digital evaluation platforms, such as Google Forms, Quizizz, and Kahoot, and were trained on how to integrate gamification elements into learning assessments. The results indicated that 85% of participants showed an improvement in their understanding and skills in utilizing internet-based assessment technology. Additionally, teachers began adopting gamification methods in assessments, leading to increased student engagement in the learning process. This initiative is expected to encourage teachers to continuously develop innovative and interactive assessment methods aligned with technological advancements in education.
Perancangan Failure-Aware Self-Healing Workflow pada Sistem Event-Driven untuk Pemulihan Proses Layanan Digital Secara Otomatis Dimaz Ardawan; Denny Kurniadi; Khairi Budayawan; Randi Proska Sandra
Progresif: Jurnal Ilmiah Komputer Vol. 22 No. 3 (2026): Juli
Publisher : STMIK Banjarbaru

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35889/progresif.v22i3.3977

Abstract

Digital service systems built on event-driven architecture relied on infrastructure-level self-healing, leaving workflow-layer failures handled reactively and processes abandoned mid-execution even when infrastructure remained available. This study designed a failure-aware self-healing workflow that detected, classified, and recovered digital service failures automatically based on event context, treating classification as mandatory before recovery. A prototype was built following the Prototyping Model, integrating n8n as workflow orchestrator and Apache Kafka as event broker inside Docker, with recovery governed by a JavaScript finite state machine, tested on five failure scenarios and two baseline conditions, each run for 30 iterations. The system classified all failures correctly across 150 iterations, reaching 100% recovery accuracy and a 100% success rate where fallback was available. Self-healing lowered Recovery Time by 29.90% against a no-recovery baseline, though a static-recovery baseline reached a lower time with 0% success, showing recovery speed and correctness can move in opposite directions. Keywords: Failure-Aware; Self-Healing; Event-Driven Architecture; Workflow Orchestration; Mean Time to Recovery (MTTR) Abstrak Sistem layanan digital berbasis arsitektur event-driven umumnya mengandalkan self-healing pada tingkat infrastruktur, sementara kegagalan pada lapisan orkestrasi workflow ditangani secara reaktif melalui pemantauan manual sehingga proses bisnis dapat terhenti di tengah eksekusi meskipun infrastrukturnya masih berjalan normal. Penelitian ini merancang failure-aware self-healing workflow yang mendeteksi, mengklasifikasikan, dan memulihkan kegagalan layanan digital secara otomatis berdasarkan konteks event, dengan klasifikasi sebagai tahap wajib sebelum pemulihan dijalankan. Prototipe dibangun mengikuti Prototyping Model, mengintegrasikan n8n sebagai orkestrator workflow dan Apache Kafka sebagai event broker di dalam Docker, dengan keputusan pemulihan dikendalikan finite state machine berbasis JavaScript, diuji pada lima skenario kegagalan dan dua baseline, masing-masing 30 iterasi. Sistem mengklasifikasikan seluruh kegagalan secara tepat pada 150 iterasi, mencapai recovery accuracy 100% dan success rate 100% pada skenario dengan jalur fallback. Self-healing menurunkan MTTR sebesar 29,90% dibandingkan baseline tanpa pemulihan, meskipun baseline pemulihan statis mencatat waktu lebih rendah namun dengan success rate 0%, menunjukkan kecepatan dan ketepatan pemulihan dapat bergerak berlawanan arah.
Co-Authors Agariadne Dwinggo Samala Ahmaddul Hadi Ahmaddul Hadi, Ahmaddul Alan Kurniawan Alkindi Syamsi Apriliyanti, Resti Ari Suriani Aviola, Rawim Puja Azmi, Arafil Bayu Wijayanto Budayawan, Khairi Budayawan, Khairi Budi Sunaryo Cakranata, Raden Galuh Garhadi Dedy Irfan Dedy Irfan Denny Kurniadi Dimaz Ardawan Dony Novaliendry Efrizon Efrizon Fadhli Ranuharja Febri Yosi Febriani, Natasya Fitrian, Rahmat Geovanne Farell Huda, Yasdinul Ika Parma Dewi Karina, Lani Dwi Lativa Mursyida Maiyenti, Elisa Mubai, Akrimullah Muhammad Ismail Nerurkar, Pranav Pratama, Galant Anefsyah Prihantarto, Wikan Jaya Putri, Mutiara Amelia Rahmatussabri Assidiqie Rahmawati, Chindy Ramadhan, Dzaky Fawwaz Reihan Hanafi Wiyanatra Ridho Al Farezi Rizkayeni Marta Ryan Fikri Ryan Fikri Salsabila Intania Bestari Sriharta, M Sunaryo, Budi Syafrijon Syafrijon Syafrijon Syafrijon Syafrijon, Syafrijon Syamsi, Alkindi Wikan Jaya Prihantarto Wiyanatra, Reihan Hanafi Yasdinul Huda Yusra Aprila Putri Zulfadli Zulfadli Zulfadli Zulfadli