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All Journal Journal of Intelligent Computing and Health Informatics (JICHI) Jurnal Pengabdian Masyarakat Variasi
Adil Priman Hati Hulu
STMIK Methodist Binjai
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Edukasi Pencegahan Phishing Sebagai Upaya Peningkatan Kesadaran Keamanan Digital Anzas Ibezato Zalukhu; Metta Dina Gloria; Adil Priman Hati Hulu; Irwan Syahputra; Ratna Nisti Yuliani Zalukhu; Dian Khristian Zalukhu
Jurnal Pengabdian Masyarakat Variasi Vol. 3 No. 1 (2026)
Publisher : LPPM STMIK Methodist Binjai

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

Abstract

Perkembangan teknologi digital yang pesat telah meningkatkan risiko kejahatan siber, salah satunya phishing, yang sering menyasar pelajar sebagai pengguna aktif teknologi informasi. Phishing merupakan bentuk penipuan digital yang dilakukan dengan menyamar sebagai pihak terpercaya untuk memperoleh informasi sensitif seperti data pribadi dan akun digital. Rendahnya literasi keamanan digital menyebabkan pelajar rentan terhadap serangan tersebut. Oleh karena itu, kegiatan Pengabdian kepada Masyarakat ini bertujuan untuk meningkatkan kesadaran dan pemahaman pelajar terhadap ancaman phishing serta strategi pencegahannya. Kegiatan edukasi dilaksanakan di SMK Negeri 1 Sirapit, Kabupaten Langkat, melalui pendekatan edukatif dan partisipatif yang meliputi ceramah interaktif, diskusi, studi kasus, dan simulasi identifikasi phishing. Materi yang disampaikan mencakup pengenalan keamanan digital, jenis-jenis phishing, dampak phishing, serta langkah-langkah pencegahan dalam aktivitas digital sehari-hari. Hasil kegiatan menunjukkan adanya peningkatan pemahaman pelajar mengenai ciri-ciri phishing dan pentingnya menjaga keamanan data pribadi. Selain itu, pelajar menunjukkan perubahan sikap yang lebih waspada dan bertanggung jawab dalam menggunakan teknologi digital. Dengan demikian, kegiatan edukasi ini terbukti efektif dalam meningkatkan literasi keamanan digital pelajar serta mendukung pembentukan perilaku digital yang aman dan bijak
Creative Content Development and Tourism Village Website Management Training to Increase Tourist Visits: A Community Engagement Program in Bukit Lawang Metta Dina Gloria; Irwan Jani Tarigan; Anzas Ibezato Zalukhu; Tomy Satria Alasi; Marwa Halim; Riandy Yap; Ramen A Purba; Adil Priman Hati Hulu; Dahrim; Suhendri Nasution
Jurnal Pengabdian Masyarakat Variasi Vol. 3 No. 2 (2026)
Publisher : LPPM STMIK Methodist Binjai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36520/2yjs3m24

Abstract

Bukit Lawang is one of the leading ecotourism destinations in North Sumatra, renowned for its Orangutan conservation and the natural beauty of Gunung Leuser National Park. However, this great potential has not been accompanied by independent digital promotion optimization by the local community. Most tourism stakeholders still rely on third parties (external travel agents) and have not maximized the use of the village's digital assets. This Community Service activity (PKM) aims to improve the skills of the Tourism Awareness Group (Pokdarwis) and local youth in creative content creation (photo/video) and management of the official tourism village website. The implementation method uses the Asset-Based Community Development (ABCD) approach divided into a preparation stage, implementation stage (theoretical and practical training), and evaluation stage using pre-test and post-test questionnaires analyzed with the Normalized Gain (N-Gain) test and the non-parametric Wilcoxon Signed-Rank Test. Results show a significant increase in partner understanding, with a “High” N-Gain category across all indicators: 0.77 in photography/videography techniques, 0.75 in video editing skills via smartphone, and 0.72 in website dashboard operational capabilities. A Wilcoxon Signed-Rank Test confirmed that the increase from pre-test to post-test (mean 54.88 to 78.72) was statistically significant (Z = -4.478; p < 0.001). The long-term impact is the availability of independently managed digital promotional media to attract both domestic and international tourist visits directly without intermediaries
Process Mining for Characterizing Adverse Event Transition Patterns in GLP-1 Receptor Agonist Using OpenFDA Data Adil Priman Hati Hulu; Winda Irawati Zebua; Fathree Halawa; Jernih Hati Sarumaha
Journal of Intelligent Computing & Health Informatics Vol 7, No 2 (2026): September
Publisher : Universitas Muhammadiyah Semarang Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26714/jichi.v7i2.22677

Abstract

The increasing use of glucagon-like peptide-1 receptor agonists (GLP-1 RAs) highlights the importance of adverse event monitoring as part of pharmacovigilance. Conventional analyses generally focus on event frequency, leaving transition patterns among adverse events within individual reports insufficiently explored. This study aims to analyze adverse event reporting transition patterns associated with GLP-1 RAs using process mining based on OpenFDA Harmonized Fields. Data were obtained from the OpenFDA Drug Adverse Event API, sourced from the FDA Adverse Event Reporting System (FAERS), covering the 2023–2025 period for semaglutide, liraglutide, dulaglutide, and tirzepatide. A total of 188,734 reports were extracted and processed through cleaning, normalization, deduplication, and event log construction, resulting in 496,212 event records from 188,247 cases. The 25 most frequently reported adverse events were selected for analysis, with 48,429 cases containing at least two events. Directly-Follows Analysis identified Nausea → Vomiting as the transition with the highest frequency, occurring 4,459 times. For tirzepatide, the transition Incorrect dose administered → Injection site pain occurred 2,267 times. Comparison of the Heuristics Miner and Inductive Miner showed that the Heuristics Miner achieved precision values of 0.9671–0.9909 and F-scores of 0.8474–0.8682, whereas the Inductive Miner achieved a fitness of 1.0000 with precision values of 0.5315–0.7481. Based on the balance of evaluation metrics, the Heuristics Miner was used as the primary model for transition analysis. The results demonstrate that process mining can be used to explore the structure of adverse event reporting transitions associated with GLP-1 RA therapies.
Co-Authors Alasi, Tomy Satria Anzas Ibezato Zalukhu Dahrim Dian Khristian Zalukhu Fathree Halawa Irwan Jani Tarigan Irwan Syahputra Jernih Hati Sarumaha Marwa Halim Metta Dina Gloria Priandy Yaputra Ramen A Purba Ratna Nisti Yuliani Zalukhu Suhendri Nasution Winda Irawati Zebua