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All Journal Journal of Geoscience, Engineering, Environment, and Technology Lumbung Inovasi: Jurnal Pengabdian Kepada Masyarakat
Nevi Ernita
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Humanities Earth & Planetary Sciences Education Engineering Environmental Science Physics Social Sciences

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PENDAMPINGAN LITERASI AI BERBASIS CHATGPT-SCITE.AI DALAM PENULISAN SKRIPSI MAHASISWA: ANALISIS CAPAIAN PROGRAM PENGABDIAN KEPADA MASYARAKAT DI UIN MATARAM Nevi Ernita; Ernita, Nevi; Muin, Abdul
Lumbung Inovasi: Jurnal Pengabdian kepada Masyarakat Vol. 10 No. 4 (2025): December
Publisher : Lembaga Penelitian dan Pemberdayaan Masyarakat (LITPAM)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36312/4dg1j123

Abstract

Mahasiswa UIN Mataram, khususnya mantan peserta Kuliah Kerja Partisipatif (KKP) di Desa Setanggor, menghadapi berbagai tantangan dalam penyusunan skripsi. Tantangan tersebut mencakup keterbatasan literasi akademik, integrasi teknologi, dan pemahaman terhadap etika penggunaan kecerdasan buatan (AI). Program Pengabdian kepada Masyarakat (PkM) ini bertujuan meningkatkan literasi penulisan akademik, literasi AI, kemampuan integratif dalam pemanfaatan AI untuk penyusunan skripsi, serta kesadaran etis mahasiswa dalam penggunaannya. Program ini telah melibatkan 18 mahasiswa (12 mantan peserta KKP dan 6 non-KKP) melalui pelatihan dan lokakarya partisipatif yang disertai dengan pendampingan terarah. Alat bantu yang digunakan meliputi ChatGPT dan Scite.AI, yang difungsikan untuk membantu penyusunan argumen, penelusuran pustaka, dan pengelolaan referensi secara etis. Evaluasi dilaksanakan melalui pretest dan posttest pada empat aspek: literasi penulisan akademik (LPA), literasi AI (LAI), integrasi AI dalam penulisan (ILAI), dan etika penggunaan AI (EAI). Analisis bersifat deskriptif pada tingkat kelompok, tanpa pendekatan inferensial. Hasil menunjukkan peningkatan rata-rata skor total dari 12,39 menjadi 14,00 poin, dengan kenaikan tertinggi pada aspek ILAI (+0,64) dan LPA (+0,53). Aspek EAI mencapai skor penuh, namun terdapat indikasi efek plafon (ceiling effect). Secara umum, efektivitas program tergolong dalam kategori kecil hingga sedang. Rekomendasi mencakup pengembangan instrumen evaluasi yang lebih sensitif, pendalaman materi terkait etika AI, serta pendampingan berkelanjutan untuk memperkuat literasi AI di kalangan mahasiswa. Assisting AI Literacy through ChatGPT–Scite.ai in Undergraduate Thesis Writing: An Analysis of Community Service Program Outcomes at UIN Mataram Abstract Students of UIN Mataram, particularly former participants of the Participatory Community Service Program (KKP) in Setanggor Village, face various challenges in writing their undergraduate theses. These challenges include limited academic literacy, inadequate integration of technology, and a lack of understanding regarding the ethical use of artificial intelligence (AI). This Community Service Program (PkM) aims to enhance academic writing literacy, AI literacy, integrative skills in utilizing AI for thesis writing, and students' ethical awareness in its application. The program involved 18 students (12 former KKP participants and 6 non-KKP) through participatory training and workshops, combined with structured mentoring. The tools employed included ChatGPT and Scite.AI, used to support argument development, literature searching, and ethical reference management. Evaluation was conducted through pretests and posttests on four aspects: academic writing literacy (AWL), AI literacy (AIL), AI integration in writing (AIIW), and ethics of AI use (EAI). The analysis was descriptive at the group level, without inferential statistical testing. The results indicated an increase in the average total score from 12.39 to 14.00 points, with the highest gains in AIIW (+0.64) and AWL (+0.53). The EAI aspect reached full scores, though with indications of a ceiling effect. Overall, the program’s effectiveness was categorized as small to moderate. Recommendations include the development of more sensitive evaluation instruments, deepening of AI ethics content, and continuous mentoring to strengthen students’ AI literacy.
Screening-Level Liquefaction Susceptibility Assessment in Central West Lombok: Integrating HVSR-Derived Ground Shear Strain and Groundwater Depth Ilham, Ilham; Nevi Ernita; Ichwan Arief Ramdhani; Lalu Aldi Pranata
Journal of Geoscience, Engineering, Environment, and Technology Vol. 11 No. 3 (2026): Articles In Press Vol 11 No 3 2026
Publisher : UIR PRESS

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Abstract

Lombok is one of the earthquake-prone areas in Indonesia that is highly exposed to secondary hazards such as liquefaction. This research presents a screening-level liquefaction susceptibility assessment for the central part of West Lombok by integrating two main controlling parameters, namely ground shear strain (GSS) derived from HVSR microtremor measurements (n = 52) as an indicator of surface soil deformability, and groundwater depth (GWD) from field observations as an indicator of soil saturation level. The Liquefaction Susceptibility Index (LSI) was calculated by combining these two parameters using an unweighted conjunctive geometric mean approach to emphasize the simultaneous occurrence of soil deformability and groundwater saturation conditions while reducing compensatory effects that may occur in additive integration methods. The idea behind this approach is that locations where both high soil deformability and shallow groundwater levels are present will be assigned higher susceptibility values, while the susceptibility values will be reduced for locations where these two prerequisites are mismatched. The integrated LSI offers a more selective zonation than the single parameter outputs: the GWD-only map identifies widespread hydrologically favorable conditions (77.24% are classified as High–Very High) as saturation-ready, and the GSS-only map is dominated by Moderate–Low deformability (73.51%). The integrated map classifies 34.79% of the study area as High, 55.40% as Moderate and 9.80% as Low, with no Very High class. High susceptibility is concentrated in the western coastal belt (Labuapi–Gerung–Lembar), which corresponds to low-lying coastal/alluvial plains underlain by Quaternary alluvium where shallow groundwater and mechanically susceptible ground are more likely to coincide. However, the proposed susceptibility model has not been validated using CPT/SPT measurements, borehole observations, or documented liquefaction inventories. Therefore, the resulting map should be interpreted as a proxy-based screening-level prioritization tool for guiding future geotechnical investigations rather than a deterministic assessment of liquefaction occurrence.
Co-Authors Abdul Muin Ernita, Nevi Ichwan Arief Ramdhani Ilham Ilham Lalu Aldi Pranata