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All Journal Jurnal Pengabdian Masyarakat Bidang Sains dan Teknologi Formosa Journal of Computer and Information Science
Normalina Napitupulu
Universitas Sumatera Utara
Aerospace Engineering Agriculture, Biological Sciences & Forestry Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Electrical & Electronics Engineering Engineering Health Professions Industrial & Manufacturing Engineering Mathematics Mechanical Engineering Medicine & Pharmacology Nursing Public Health Transportation Veterinary

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Penguatan Kewaspadaan Bencana Hidrologi Daerah Laut dan Pantai dengan Pembelajaran Digital Berbasis Gamifikasi : Studi Kasus SMA Negeri 20 Medan Reza Taqyuddin; Asima Manurung; Normalina Napitupulu; Yudhistira Adhitya Pratama
ABDIKAN: Jurnal Pengabdian Masyarakat Bidang Sains dan Teknologi Vol. 5 No. 1 (2026): Februari 2026
Publisher : Yayasan Literasi Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55123/abdikan.v5i1.7667

Abstract

Coastal areas face high risks of hydrological disasters that demand early preparedness, particularly among the youth. However, conventional mitigation education methods often fail to stimulate active student participation. This community service aims to strengthen disaster awareness in coastal and marine environments at SMA Negeri 20 Medan through gamification-based digital learning innovations. The approach was structured experiential learning, comprising digital learning design, socialization of mitigation concepts, and hands-on learning using simulation game media. In these sessions, students were challenged to make tactical mitigation decisions within virtual disaster scenarios. Evaluation of the activity demonstrated significant effectiveness, with student engagement levels recording above 80%. The application of gamification proved to deliver an immersive experience that enabled students to design area mitigation, evidenced by 90% of students successfully achieving the highest scores in the simulation to create disaster-free zones. This activity concludes that integrating gamification into disaster education effectively transforms theoretical understanding into practical competence while enhancing collective student awareness of coastal environmental risks and disaster mitigation.
IoT-Based Multi-Sensor Fusion for Goat Behavioral Pattern Recognition Using K-Means Clustering in a Smart Farming Environment Yudhistira Pratama; Normalina Napitupulu; Zulhamsyah Fachrurrazi Nasution; Adli Abdillah Nababan
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.v5i1.16599

Abstract

Monitoring goat behavior in commercial farms typically relies on direct observation, which does not scale and misses conditions that develop gradually. This study deployed an eight-sensor IoT network across two zones of a slatted-floor goat pen in North Sumatra, Indonesia, and applied K-Means clustering to 49 days of sensor data. After a systematic data cleaning step that removed sensor dropouts, ADC saturation events, and an isolated methane spike, 213,704 records were retained (98.6% of raw data). K-Means with K=8 on the cleaned dataset yielded a Silhouette Score of 0.297 and Davies-Bouldin Index of 1.177, identifying eight behavioral and environmental states without a dedicated anomaly cluster. Results include two heat stress levels (THI means 90.7 and 92.1), three nocturnal resting states differentiated by waste pit gas concentration, a daytime active-vocal state, and an evening post-feeding fermentation peak.
Co-Authors Adli Abdillah Nababan Asima Manurung Reza Taqyuddin Yudhistira Adhitya Pratama Yudhistira Pratama Zulhamsyah Fachrurrazi Nasution