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All Journal IAES International Journal of Artificial Intelligence (IJ-AI) Jurnal Pemberdayaan Sosial dan Teknologi Masyarakat Kenduri: Jurnal Pengabdian Dan Pemberdayaan Masyarakat
Izzul Fatawi
Universitas Terbuka
Humanities Computer Science & IT Education Engineering Environmental Science Languange, Linguistic, Communication & Media Social Sciences

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Penguatan Literasi Mitigasi Bencana dan Ketahanan Sanitasi melalui Pendekatan Multi-Grade Lintas Generasi di Desa Sekumur, Kecamatan Sekerak, Kabupaten Aceh Tamiang Mudayat Mudayat; Andayani Andayani; Tepati Hak Kewajiban; Ichwan Ichwan; Izzul Fatawi; Heri Kurniawan; Elang Krisnadi; Eka Wirajuang Daurrohmah; Ikhsan Ikhsan; Muhammad Daud
KENDURI : Jurnal Pengabdian dan Pemberdayaan Masyarakat Vol. 6 No. 1 (2026): January-April
Publisher : Yayasan Darussalam Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62159/kenduri.v6i1.2082

Abstract

Sekumur Village, Sekerak District, Aceh Tamiang Regency is a highly vulnerable area to flash floods and acute environmental sanitation problems. The hydrometeorological disaster at the end of 2025 destroyed almost all residential infrastructure, leaving approximately 300 households in extreme emergency conditions with minimal access to clean water and basic sanitation facilities. This Community Service Program (PkM) aims to strengthen disaster mitigation literacy and community sanitation resilience through an intergenerational multi-grade approach involving children, adolescents, parents, and the elderly. Methods applied include Participatory Rural Appraisal (PRA)-based participatory education, family hygiene kit distribution, psychosocial intervention through trauma-informed pedagogy, and communal asset governance assistance. The program is implemented over ten months (February–November 2026) through four systematic phases. Expected outcomes include enhanced community knowledge on disaster mitigation and healthy sanitation practices, sustainable formation of clean and safe living behaviors, and the establishment of a replicable intergenerational community education model for other disaster-prone areas
ANALISIS KEBUTUHAN TRANSFORMASI DIGITAL SEKOLAH DASAR DALAM RANGKA MEWUJUDKAN TARGET SDGS PENDIDIKAN BERKUALITASDI SDN LEBAKWANGI BOGOR Marisa; Tepati Hak Kewajiban; Siti Muyaroah; Izzul Fatawi
Jurnal Pemberdayaan Sosial dan Teknologi Masyarakat Vol. 6 No. 1 (2026): April 2026
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/jpstm.v6i1.6445

Abstract

This community service program aimed to accelerate the digitalisation of learning at SDN Lebakwangi through strengthening human resource capacity and information and communication technology (ICT) infrastructure. Before program implementation, a needs assessment was conducted involving 18 teachers to identify the school's initial conditions. The findings revealed a relatively high level of digital device ownership, with 16 teachers owning smartphones and 13 owning laptops. However, the integration of ICT into teaching and learning remained limited; 72.2% of teachers reported using technology only occasionally due to internet quota constraints. Approximately 72% of respondents relied on personal mobile data with network quality insufficient for video-based learning, while only 27% had access to the school’s Wi-Fi network. Teachers’ digital literacy competencies varied, with most falling within the moderate to high categories, although several teachers still demonstrated very low levels of digital competence. These findings served as the basis for implementing a differentiated training strategy. The analysis also indicated that technology use was predominantly focused on presentation tools such as Canva, PowerPoint, and YouTube (77%), whereas the utilization of interactive platforms, including learning management systems (LMS) and digital assessment applications, remained low (16%). Furthermore, 88.8% of teachers expressed a preference for hands-on training. Based on these findings, the community service team designed a program tailored to the partner school's needs to support sustainable digital transformation in learning.
The role of prompt engineering in enhancing LLMs: a systematic review of applications and ethical implications Izzul Fatawi; Muhammad Roil Bilad; Muhammad Asy'ari
IAES International Journal of Artificial Intelligence (IJ-AI) Vol 15, No 2: April 2026
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijai.v15.i2.pp1071-1086

Abstract

Large language models (LLMs) have transformed natural language processing (NLP), demonstrating exceptional proficiency in tasks such as text generation, translation, and summarization. However, LLMs are prone to generating biased, inaccurate, or contextually irrelevant outputs, posing significant risks in high-stakes domains such as healthcare, legal reasoning, and engineering. This paper systematically investigates the role of prompt engineering as a solution to these challenges. By strategically designing inputs, prompt engineering enhances LLM performance, yielding more accurate, contextually relevant, and ethically aligned outputs. Advanced techniques, including chain-of-thought (CoT) prompting and retrieval augmented generation (RAG), are examined for their ability to improve reasoning capabilities, reduce errors, and mitigate bias. CoT prompting facilitates structured, stepwise reasoning, while RAG incorporates real-time data, ensuring output accuracy in rapidly evolving fields. In addition, we present a novel comparative perspective on these techniques, highlighting their distinct strengths and limitations across specialized applications such as healthcare diagnostics and scientific data extraction. The findings demonstrate that sophisticated prompt engineering significantly elevates the reliability and precision of LLM outputs, while addressing critical ethical concerns such as data privacy, bias, and hallucination. These insights underscore the necessity of advanced prompt design in optimizing LLMs for high-impact applications, ensuring both performance and ethical integrity.
Co-Authors ANDAYANI ANDAYANI Eka Wirajuang Daurrohmah Elang Krisnadi Heri Kurniawan Ichwan Ichwan Ikhsan Ikhsan Marisa Mudayat, Mudayat Muhammad Asy'ari Muhammad Daud Muhammad Roil Bilad Siti Muyaroah Tepati Hak Kewajiban