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STUDI PERENCANAAN DRAINASE AIR HUJAN PADA RUMAH SAKIT X Aditya, Muhammad Fathur
SINERGI : Jurnal Riset Ilmiah Vol. 2 No. 8 (2025): SINERGI : Jurnal Riset Ilmiah, Agustus 2025
Publisher : Lembaga Pendidikan dan Penelitian Manggala Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62335/sinergi.v2i8.1746

Abstract

This study designs a rainwater drainage system for Hospital X to prevent water stagnation and maintain optimal sanitation conditions. Field surveys and hydrological data, including rainfall data from the Karangploso Rain Station, were analyzed to determine the peak runoff and the required drainage channel capacity. The hydrological analysis resulted in a 5-year return period design rainfall of 107.54 mm using the Log-Normal distribution. Hydraulic calculations indicate that surface concrete drainage channels are the most suitable option, given the soil conditions and flow requirements. The drainage channel design was calculated using the rational method to determine the channel dimensions, resulting in three standard channel types: S1 (height 0.4 m and width 0.3 m), S2 (height 0.7 m and width 0.5 m), and S3 (height 0.9 m and width 0.6 m). This system has sufficient capacity to convey peak runoff without causing flooding, thereby improving the safety and operational comfort of the hospital. Future research is recommended to integrate wastewater management into the drainage design, so that rainwater and hospital wastewater can be managed in an integrated manner, safeguarding environmental health and meeting sanitation standards.
ESTIMASI CURVE NUMBER DAERAH ALIRAN SUNGAI KONAWEHA MENGGUNAKAN CITRA SATELIT DAN DATA TANAH GLOBAL Aditya, Muhammad Fathur
SINERGI : Jurnal Riset Ilmiah Vol. 2 No. 8 (2025): SINERGI : Jurnal Riset Ilmiah, Agustus 2025
Publisher : Lembaga Pendidikan dan Penelitian Manggala Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62335/sinergi.v2i8.1748

Abstract

The Curve Number (CN) method is widely used to estimate surface runoff in watershed hydrology. This study aims to estimate the CN value of the Konaweha Watershed using remote sensing and spatial analysis approaches. Sentinel-2 satellite imagery was utilized to derive land cover information, while soil type data from the Food and Agriculture Organization (FAO) were employed to determine the Hydrologic Soil Group (HSG). The analysis was carried out on the Google Earth Engine (GEE) platform by integrating the land cover map derived from Sentinel-2 classification with the HSG map obtained from FAO soil data. CN values were assigned based on the Soil Conservation Service (SCS) method by linking land cover classes and soil groups. The results indicate that the Konaweha Watershed is dominated by forest and agricultural land cover, with a heterogeneous distribution of HSG. The integration of both datasets produced a spatially distributed CN map with an average value of 52.6, reflecting the hydrological condition of the watershed with relatively good infiltration capacity and moderate surface runoff potential. The findings provide valuable input for hydrological modeling and water resources management planning. This study demonstrates that the integration of Sentinel-2 satellite imagery and FAO soil data through GEE offers a fast, efficient, and reliable approach for CN estimation at the watershed scale.
Analisis Luas Lahan Terdampak Dan Perubahan Pola Permukiman Akibat Abrasi Sungai Di Desa Muara Sampara Periode 2014-2024 Ahsan, Laode Muhammad Fahrizal; Muhsar, Muhammad; Makmur, Muzammil; Aditya, Muhammad Fathur; Alamsyah, Nur
Sultra Civil Engineering Journal (SCiEJ) Vol 6 No 2 (2025): Sultra Civil Engineering Journal (SCiEJ)
Publisher : Universitas Sulawesi Tenggara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54297/sciej.v6i2.1319

Abstract

River abrasion is a natural disaster that causes land erosion due to strong water currents or waves, leading to significant impacts on human settlements and land use. This study analyzes the extent of land loss and changes in settlement patterns caused by river abrasion in Muara Sampara Village, Kapoiala District, Konawe Regency, from 2014 to 2024. Using a Geographic Information System (GIS) approach with high-resolution satellite imagery, overlay analysis was conducted to determine the spatial dynamics of land use and the extent of areas affected by abrasion. The results show that the total land area of the village decreased by 3.23 hectares over ten years, with the highest rate of abrasion occurring between 2016 and 2018. The analysis also indicates a gradual shift in settlement patterns from riverbanks toward safer central areas of the village, reflecting community adaptation to environmental changes. These findings provide crucial spatial information to support local government policies on riverbank management, disaster mitigation, and sustainable land use planning