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IPCC-Based Household Climate Vulnerability Index in Salokaraja Village, South Sulawesi Rusdi, Rusdi; Miharja, Helmi Ayuradi; Armadani, Inaz; Arfandi, Arfandi; Syahruddin, Darma Jaya
Geographica: Science and Education Journal Vol 7, No 2 (2025): December
Publisher : USN Kolaka

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31327/gsej.v7i2.2512

Abstract

Climate change is intensifying floods and droughts across rural Indonesia, yet vulnerability assessments rarely drill down to the village scale. This study evaluates household-level vulnerability in Salokaraja Village, Soppeng Regency, through the IPCC framework of exposure, sensitivity, and adaptive capacity. Primary data were gathered via a survey of 115 households, key-informant interviews, and focus-group discussions; long-term rainfall records (2000-2023), disaster reports, and a 30-m DEM provided secondary inputs. Indicators were normalised, weighted, and combined into a composite index, then analysed statistically and mapped using GIS interpolation. Results reveal that 34 % of households are highly vulnerable, with an average index score of 0.55; flood-plain exposure and rice-monoculture dependence drive risk, while adaptive capacity—particularly credit access (27 %) and climate-information literacy (46 %)—shows a strong negative relationship with vulnerability (? = –0.44). Policy recommendations include rehabilitating tertiary irrigation and flood canals, integrating BMKG seasonal outlooks into extension services, offering subsidised "Green KUR" credit for adaptive investments, and revitalising farmer groups as co-production platforms for climate information. The findings highlight that strengthening human, financial, and institutional capital is as critical as hazard control in building rural climate resilience.
PERSEPSI PESERTA DIDIK TERHADAP PENGGUNAAN ARTIFICIAL INTELIGENCE (AI) DALAM PEMBELAJARAN IPS DI KELAS IX UPT SPF SMP NEGERI 24 MAKASSAR Nurshalati Urfa; Rusdi; Shasliani
Pendas : Jurnal Ilmiah Pendidikan Dasar Vol. 11 No. 01 (2026): Volume 11 No. 01 Maret 2026 Publish
Publisher : Program Studi Pendidikan Guru Sekolah Dasar FKIP Universitas Pasundan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23969/jp.v11i01.42294

Abstract

This study aims to determine : 1) An overview of the use of Artificial Intelligence (AI) in social studies learning in grade IX at UPT SPF SMPN 24 Makassar; 2) Students’ perceptions of Artificial Intelligence (AI) regarding its application in Social Studies Learning; 3) The form of student statisfaction with the use of Artificial Intelligence (AI) in suppoting the ideal Social Studies learning process in grade IX at UPT SPF SMPN 24 Makassar. This research employed a descriptive qualitative approach. Data collection techniques were conducted through in-depth interviews with several Grade IX students at UPT SPF SMPN 24 Makassar as the primary respondents, supplemented by documentation. The data obtained were analyzed through data reduction, data display, and conclusion drawing and verification to produce accurate findings.The results of this study indicate that : 1) the overview of Artificial Intelligence (AI) usage in Grade IX at UPT SPF SMPN 24 Makassar shows that AI functions as a flexible assistant capable of tailoring materials to students' learning styles, thereby increasing independent learning initiatives both at school and at home. 2) regarding students' perceptions, the use of AI applications such as ChatGPT, Gemini, and Cici is regarded as an essential tool for simplifying their understanding; despite finding them helpful, students consistently perform cross- verification of the information provided to avoid data inaccuracies. 3) the form of student satisfaction in creating an ideal Social Studies learning process stems from the ease of information access and the time efficiency provided by AI, which allows students to focus more on deepening their understanding and engaging in active classroom discussions.