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All Journal Forum Geografi Jurnal Pengabdian kepada Masyarakat Nusantara (JPkMN)
Rustam Rustam
IKIP - PGRI Pontianak
Computer Science & IT Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Social Sciences

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Validating the GIS-based Flood Susceptibility Model Using Synthetic Aperture Radar (SAR) Data in Sengah Temila Watershed, Landak Regency, Indonesia Ajun Purwanto; Dony Andrasmoro; Eviliyanto Eviliyanto; Rustam Rustam; Mohd Hairy Ibrahim; Arif Rohman
Forum Geografi Vol 36, No 2 (2022): December 2022
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/forgeo.v36i2.16368

Abstract

In Indonesia, especially in regions where natural conditions and human activity coexist, flood disasters are a strong possibility. Flooding regularly has an impact on Sengah Temila, which is a component j/ of Indonesia's West Kalimantan Province. The issue in Sengah Temila is that there is little knowledge of the distribution of flood susceptibility in this region. The GIS-based flood susceptibility model has been widely used in Indonesia, but research dedicated to validating the model is limited. SAR-based analysis has been used for flood mapping in Indonesia, but its use for validating flood models has been limited.  The objective of this study is to identify the optimal weighting scenario for a GIS-based multi-criteria analysis flood model for use in the Sengah Temila Watershed. The GIS-based model is created by merging spatial parameters, including slope, elevation, flow accumulation, drainage density, land use and land cover (LULC), soil type, normalized difference vegetation index (NDVI), curvature, rainfall, distance to river, and topographic wetness index (TWI) with weighted multi-criteria analysis. In addition, Sentinel-1 GRD images from before and after the floods have been retrieved from Google Earth Engine using past floods of the watershed. In order to create a SAR-based flood model, the researchers then integrated and categorized the results. Eleven weighting scenarios were used to create eleven GIS-based flood models. To calculate the degree of spatial similarity, all of these models were contrasted with the SAR-based model using the Fuzzy Kappa approach. We found that in order to achieve ideal weighting, slope, topographic wetness index (TWI), rainfall, and flow accumulation should each be given a larger value.
Konseling Rehabilitasi Narkoba Di Rumah Rahayu Pontianak Novi Andriati; Amelia Atika; Uray Herlina; Ema Sukmawati; Yenni Rizal; Rustam Rustam; Novi Wahyu Hidayati; Martin Martin
Jurnal Pengabdian kepada Masyarakat Nusantara Vol. 4 No. 3 (2023): Jurnal Pengabdian kepada Masyarakat Nusantara (JPkMN)
Publisher : Sistem Informasi dan Teknologi (Sisfokomtek)

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Abstract

Tujuan dari pengabdian ini ialah 1) memberikan pengetahuan dan pemahaman tentang narkoba, 2) memahami konseling rehabilitasi narkoba, 3) melaksanakan konseling rehabilitasi narkoba. Metode kegiatan menggunakan langkah-langkah: 1) Pesiapan, yaitu dengan cara survey di lapangan, 2) Kegiatan, dengan cara penanyangan slide materi dalam bentuk power point, 3) Praktik konseling rehabilitasi, 4) Tanya jawab tentang kegiatan. Hasil kegiatan: 1) Seluruh peserta mampu memahami materi yang diberikan dalam layanan bimbingan kelompok, 2) Seluruh peserta secara antusias dalam mengikuti kegiatan, kondisi ini dapat dilihat dari ketepatan waktu kehadiran hingga selesai kegiatan, dan banyaknya peserta yang bertanya serta terharu terhadap pelaksanaan konseling yang diberikan, 3) Masing-masing peserta aktif dalam memberikan saran pada saat memberikan kesimpulan diakhir kegiatan.
Co-Authors Ajun Purwanto Amelia Atika Andriati, Novi Arif Rohman Dony Andrasmoro Ema Sukmawati Eviliyanto Eviliyanto, Eviliyanto Martin Martin Mohd Hairy Ibrahim Novi Wahyu Hidayati Yeni Rizal