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All Journal Jurnal Inovasi Hasil Pengabdian Masyarakat (JIPEMAS) Geoid - Journal of Geodesy and Geomatics
Aprian, Syahra Dewi
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Agriculture, Biological Sciences & Forestry Earth & Planetary Sciences Engineering Environmental Science Other

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Detection of River Change in Modeling Flood Vulnerability using Support Vector Machine (SVM) Methods in Tallo River Makassar City Izzaty, Atika; Aprian, Syahra Dewi; Wijayanti, Regita Faridatunisa; Iffaty, Athiya; Bakri, Bambang; Karamma, Riswal
GEOID Vol. 20 No. 2 (2025)
Publisher : Departemen Teknik Geomatika ITS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/geoid.v20i2.7536

Abstract

The transformation of river morphology and the rising frequency of flooding in urban environments have emerged as increasingly concerning environmental challenges, particularly in Makassar City. The Tallo River, one of the primary waterways traversing the city, exhibits notable dynamic changes driven by both natural processes. In the contemporary era, flooding stands as one of the most recurrent natural disasters, occurring unpredictably and posing serious risks, especially in major metropolitan areas. Such events frequently disrupt daily activities, leading to traffic congestion and obstructing ground transportation. Residential zones situated near riverbanks are particularly vulnerable to its impacts. Moreover, climate change exacerbates these conditions by contributing to increasing environmental unpredictability and need through a monitoring. The purpose of this research is to analyze river morphology changes and assess flood susceptibility in the Tallo River, Makassar City, using Support Vector Machine (SVM) classification methods. Approximately, there are 20% of the area experienced significant changes during 2018 in Tallo River. As water discharge continues to increase, the volume of water mass also rises accordingly. To detect the spatial distribution of flood vulnerability along the Tallo River, which flows through Makassar City, this study utilizes Land Use and Land Cover (LULC) data from 2017 and 2024. These datasets were classified using the Random Forest model, achieving accuracies of 0.89 and 0.87, respectively values that meet the standards for land use change accuracy. Flood vulnerability is also influenced by low elevation values, particularly areas below 0 meters, which are classified as wetland zones. In the Tallo River area, which is part of the Jeneberang Watershed, the dominant class is moderate flood vulnerability, covering approximately 138.48 hectares. Remote sensing technology combined with machine learning approaches especially supervised classification techniques widely used for both binary and multivariate classification tasks, demonstrating high accuracy in detecting and classifying flood vulnerability.
Pemetaan partisipatif web-gis pada lahan pertanian untuk mendukung pengelolaan dan perencanaan pembangunan desa Hamzah, Suharman; Izzaty, Atika; Wijayanti, Regita Faridatunisa; Aprian, Syahra Dewi
Jurnal Inovasi Hasil Pengabdian Masyarakat (JIPEMAS) Vol 8 No 3 (2025)
Publisher : University of Islam Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33474/jipemas.v8i3.24114

Abstract

Pertanian merupakan pilar penting ketiga dalam penguatan ekonomi masyarakat setelah industri dan perdagangan. Namun, di Kecamatan Baranti, Kabupaten Sidenreng Rappang, Sulawesi Selatan, keterbatasan pemahaman dan keterampilan petani dalam memanfaatkan teknologi digital masih menjadi kendala utama, khususnya terkait pengelolaan lahan. Kegiatan pengabdian ini bertujuan meningkatkan kapasitas kelompok tani melalui pemanfaatan teknologi Web-GIS untuk pemetaan lahan secara partisipatif. Program dilaksanakan dengan pendekatan penyuluhan, pelatihan, dan pendampingan, yang mencakup pengenalan antarmuka Web-GIS, teknik pengolahan data spasial, serta simulasi pemetaan, sehingga peserta dapat langsung mengaplikasikannya dalam pengelolaan lahan. Hasil kegiatan menunjukkan penerapan teknologi digital mampu mendukung akses, pengelolaan, dan pemanfaatan data spasial pertanian secara lebih efektif. Sebanyak 72% kelompok tani mulai mengadopsi sistem ini untuk pencatatan lahan dan distribusi pupuk, sedangkan 28% masih dalam tahap adaptasi. Wawancara dengan perwakilan kelompok tani mengungkapkan penggunaan Web-GIS dapat mengurangi waktu pengelolaan data hingga 40% dibandingkan metode manual. Pengabdian ini berhasil mengatasi kendala pengumpulan, penyimpanan, dan penyajian data spasial, sekaligus menjadi dasar perumusan kebijakan pembangunan desa berbasis potensi wilayah. Pemanfaatan Web-GIS menghasilkan pemetaan lahan yang lebih akurat, mendukung perencanaan distribusi pupuk, meningkatkan transparansi informasi pertanian, serta memperkuat sinergi antara pemerintah desa, komunitas tani, dan investor. Dengan demikian, kegiatan ini tidak hanya meningkatkan efisiensi pengelolaan pertanian, tetapi juga berkontribusi pada peningkatan produktivitas dan kemandirian petani.
Co-Authors Bambang Bakri Iffaty, Athiya Izzaty, Atika Riswal Karamma Suharman Hamzah, Suharman Wijayanti, Regita Faridatunisa