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All Journal Jurnal Penelitian Pendidikan IPA (JPPIPA)
Ahmad Syamsu Rijal S
Universitas Muhammadiyah Gorontalo
Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Education Materials Science & Nanotechnology Physics

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Karakteristik Morfometri dan Hubungannya dengan Kejadian Banjir di DAS Paguyaman, Gorontalo Karina Meiyanti Maulana; Ahmad Syamsu Rijal S; Talha Dangkua; Risman Jaya; Andrew Mulabbi
Jurnal Penelitian Pendidikan IPA Vol 11 No 8 (2025): August
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v11i8.11909

Abstract

The Paguyaman Watershed represents a strategically significant and essential water resource for the surrounding region. In recent years, this area has become increasingly vulnerable to environmental pressures, including heightened sedimentation, changes in land use, declining water quality, and more frequent flooding events. This study aims to evaluate the morphometric characteristics of the Paguyaman Watershed and their relationship to flood vulnerability observed over the past five years. Morphometric analysis was conducted using quantitative methods within GIS and remote sensing approach. The primary dataset utilized was DEMNAS. The analyzed morphometric parameters include drainage density (3.95), stream frequency (8.61), bifurcation ratio (8.41), form factor (0.13), elongation ratio (0.40), and ruggedness number (8.20). These parameter values indicate that the Paguyaman Watershed possesses an elongated concave shape, steep topography, high surface runoff intensity, and low infiltration capacity. The findings reveal that the watershed exhibits characteristics of high flood susceptibility, as evidenced by recurrent flood events in the villages of Totopo, Tolite, and Juria over the last five years. The spatial pattern of flood vulnerability within the watershed is closely linked to morphological features, such as steep slopes, low soil infiltration capacity, and excessive surface flow accumulation—particularly within the Bilato and Boliyohuto sub-districts.
Spatial Pattern Analysis of Schmidt–Ferguson Climate Classification in Gorontalo Province Based on Rainfall Data Gifari S Pratama; Ahmad Syamsu Rijal S; Talha Dangkua; Dewa Oka Suparwata
Jurnal Penelitian Pendidikan IPA Vol 12 No 4 (2026)
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v12i4.14568

Abstract

Climate change has altered rainfall patterns in Indonesia; however, spatially detailed climate classification in Gorontalo Province remains limited. This study aims to identify climate patterns using the Schmidt–Ferguson method combined with spatial analysis. The novelty lies in integrating data consistency testing, quantitative Q index analysis, and GIS-based interpolation to produce spatial climate zoning. This study uses monthly rainfall data from 41 consistent observation stations (out of 48 stations) during 2015–2024, obtained from BWS Sulawesi II and BMKG. Data consistency was tested using the Double Mass Curve method, followed by calculation of the Q index and spatial interpolation using the Inverse Distance Weighting (IDW) method. Results show that rainfall data are highly consistent (R² ≈ 1). The Q index ranges from 7.6 to 119, indicating diverse climate types: very wet (A), wet (B), moderately wet (C), moderate (D), and slightly dry (E). Spatially, wet climates dominate mountainous areas, while relatively drier conditions occur in coastal regions. These findings are applicable for crop calendar planning, irrigation management, and disaster mitigation such as flood-prone and drought-prone zoning. However, the study is limited by uneven station distribution and a 10-year observation period. In conclusion, Gorontalo Province exhibits high spatial variability of climate influenced by topography and geographic location.
Co-Authors Andrew Mulabbi Dewa Oka Suparwata Gifari S Pratama Jaya, Risman Karina Meiyanti Maulana Talha Dangkua