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All Journal Jurnal Penelitian Pendidikan IPA (JPPIPA) Green Engineering: Journal of Engineering and Applied Science JTPG (Jurnal Teknologi Pertanian Gorontalo)
Talha Dangkua
Universitas Muhammadiyah Gorontalo
Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Education Electrical & Electronics Engineering Engineering 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.
Analisis Morfometri Komparatif untuk Penilaian Risiko Banjir di Sub DAS Alo dan Molamahu, Kabupaten Gorontalo Indrawan; Talha Dangkua; Ahmad Syamsurijal S; Risman Jaya
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.v11i8.11924

Abstract

This study conducts a comparative morphometric analysis of the Alo and Molamahu sub-watersheds, located in the upstream Limboto Watershed, Gorontalo Province, Indonesia, to assess flood risk. Using the National Digital Elevation Model (DEMNAS) with an 8-m spatial resolution, classical morphometric parameters were derived through remote sensing and Geographic Information System (GIS) techniques. Both sub-watersheds share a maximum stream order of 4 and exhibit relatively high drainage density and stream frequency, indicating rapid surface runoff. However, the Molamahu sub-watershed is larger, steeper, and has a higher ruggedness number than Alo, suggesting greater erosion potential and higher susceptibility to landslides and flash floods. In contrast, Alo shows gentler slopes but remains flood-prone due to short overland flow paths. The analysis demonstrates that morphometric characteristics directly influence flood dynamics, highlighting the need for tailored watershed management. Recommended strategies include erosion control and slope stabilization in Molamahu, and water retention measures in Alo, supported by broader reforestation efforts across the Limboto system.
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.
Length Weight Relationship and Condition Factor of Yellowstripe Scad Selaroides leptolepis in Banda Sea Waters, Morowali Ahmad Musyali; Indri Afriani Yasin; Talha Dangkua; Dewi Shinta Achmad; Arfan Tilome
Green Engineering: International Journal of Engineering and Applied Science Vol. 3 No. 3 (2026): Juli : Green Engineering: International Journal of Engineering and Applied Scie
Publisher : International Forum of Researchers and Lecturers

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70062/greenengineering.v3i3.298

Abstract

Yellowstripe scad (Selaroides leptolepis) is an economically important small pelagic fish that supports coastal livelihoods and local food supply in Morowali, Central Sulawesi. Increasing fishing pressure in Banda Sea waters requires location-specific biological information to guide sustainable management. This study analyzed length-frequency distribution, length-weight relationship, growth pattern, and condition factor of yellowstripe scad landed in Bete-Bete Village, Bahodopi District, Morowali Regency. Sampling was conducted from March to May 2026 using 450 individuals obtained from local fishers, with approximately 150 fish sampled each month. Total length ranged from 138 to 203 mm, and catches were dominated by the 171–190 mm size range, especially the 178–183 mm and 184–190 mm classes. Length-weight relationships showed strong positive associations, with coefficients of determination ranging from 79.88% to 94.79%. Growth was generally isometric across sex and month, except for male fish in March, which showed negative allometric growth. Condition factor values were mostly above 1.0 and generally ranged from approximately 1.0 to 1.4, indicating good physiological condition and sufficient habitat support. The findings indicate that yellowstripe scad in Banda Sea waters around Morowali remain in relatively healthy biological condition. However, precautionary management is still required through minimum catch-size regulation, improved gear selectivity, and routine landing-site monitoring.
Carrying Capacity Based on Environmental Services for Food Supply in Talaga City Talha Dangkua; Sofyan Muzakir Djibu; Ahmad Syamsu Rijal S; Irawan Matalapu; Indrawan; Karina Meiyanti Maulana
Jurnal Penelitian Pendidikan IPA Vol 12 No 6 (2026)
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v12i6.15161

Abstract

Environmental Carrying Capacity (ECC) for food supply is the ability of the environment to support population activities through a comparison between the need and availability of food energy. This research aims to provide initial data related to the spatial distribution of ECC for food supply in Talaga Jaya, Telaga, Telaga Biru and Tilango Sub-Districts as part of the city of Talaga and the general conditions of their status descriptions. The Environmental Service Performance Index (ESPI) of the parameters of Landscape, Natural Vegetation and Land Cover was used as a factor in distributing the availability of food energy. Land class and roads distributed population density and food energy needs. The results of the research were analyzed spatially using a supply-demand approach on a grid scale of 0.1 km x 0.1 km. The results found that the spatial distribution of ECC for food supply was in deficit status of 20.03 km2 (11.11%), balanced at 120.86 km2 (67.02%) and surplus at 39.45 km2 (21.88%). Descriptively, the deficit area cannot be covered by the surplus area if there is an energy flow because the high food energy requirement is 64.7 billion kcal/year, while the availability of food energy is only 51.4 billion kcal/year. Thus, the research area has passed the peak of its population growth and is only able to meet the food energy demand for 79.4% of its population. In this case, the government can promote agricultural commodity intensification and diversification policies to meet domestic food energy needs.
Spasial Luas Tanam Padi Sawah Irigasi Berdasarkan Citra Satelit Optis Arthur Gani Koto; Helmi Alinurgi Koto; Talha Dangkua
JTPG (Jurnal Teknologi Pertanian Gorontalo) Vol 8 No 2 (2023): Jurnal JTPG (November)
Publisher : PROGRAM STUDI MESIN DAN PERALATAN PERTANIAN

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30869/jtpg.v8i2.1268

Abstract

Sawah merupakan pertanian lahan basah yang dalam beberapa fase pertumbuhannya memerlukan penggenangan. Fase penggenangan pada sawah irigasi dapat dengan mudah dikenali secara visual dibanding lahan pertanian lainnya dari data citra satelit penginderaan jauh optis. Di Gorontalo, riset-riset terakit padi dan sawah telah banyak dilakukan. Hal ini ditunjukkan dari data Google Scholar Tahun 2017-2021 dengan keywords “gorontalo” dan “sawah” pada aplikasi Publish or Perish. Namun riset-riset tersebut masih berkutat pada tema non data penginderaan jauh. Kabupaten Gorontalo yang memiliki lahan sawah irigasi selayaknya banyak dilakukan penelitian dengan memanfaatkan data penginderaan jauh. Hal ini karena data penginderaan jauh dapat menghasilkan informasi secara cepat, waktu singkat, dan tingkat akurasi yang dapat diterima hingga 85%. Penelitian ini bertujuan untuk menghitung luas tanam padi sawah irigasi berdasarkan citra satelit digital penginderaan jauh optis di sebagian wilayah Kabupaten Gorontalo. Data yang digunakan yaitu citra landsat 8 perekaman 5 April 2022 path/row 113/59 dengan tutupan awan di daratan sebesar 15,48 %. Digunakan pula data primer untuk mengecek dilapangan hasil interpretasi citra. Metode penelitian yaitu mengolah citra landsat berbasis cloud computing memanfaatkan platform Google Earth Engine (GEE). Hasil penelitian menunjukkan bahwa platform GEE dapat digunakan sebagai suatu pengolahan data penginderaan jauh untuk menurunkan informasi luasan lahan sawah irigasi.
Co-Authors Ahmad Musyali Ahmad Syamsu Rijal S Ahmad Syamsurijal S Andrew Mulabbi Arfan Tilome Dewa Oka Suparwata Dewi Shinta Achmad Gifari S Pratama Helmi Alinurgi Koto Indrawan Indrawan Indri Afriani Yasin Irawan Matalapu Jaya, Risman Karina Meiyanti Maulana Karina Meiyanti Maulana Koto, Arthur Gani Sofyan Muzakir Djibu