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Assessment of Flash Flood Vulnerability Index in a tropical watershed region: a case study in Ciliwung Hulu watershed, Indonesia Novianti, Relita; Wardhani, Fitriany Amalia; Prihatinningtyas, Eka; Sapan, Elenora Gita Alamanda
LIMNOTEK Perairan Darat Tropis di Indonesia Vol. 29 No. 1 (2023)
Publisher : BRIN Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55981/limnotek.2023.1105

Abstract

Flash floods, an unpredicted swift climatological disaster, frequently occur in Indonesia. However, there are limited vulnerability assessments, especially in urban and vital regions such as Bogor District. The study aims to assess the vulnerability index of Ciliwung Hulu Watersheds as one of the most susceptible areas in the district. Flash flood vulnerability index (FFVI) is selected to be calculated as the indicator. Data were obtained from the official government offices and processed using the FFVI formula referring to the work of Nasiri et al., (2019) and Perka BNPB No. 2/ 2012 and then mapped using ArcGIS 10.3. The results and the maps show that the study area is categorized as highly to very highly vulnerable to flash flood disasters. The attained results help facilitate the governance interplay processes in building a more disaster-ready management plan and to construct a more resilient society.
Surface Runoff Analysis Using SCS-CN Method in Summarecon Serpong Area Cantik, Bella Koes Paulina; Sapan, Elenora Gita Alamanda; Ghiffari, Muhammad Razzaaq Al; Yuvhendmindo, Muhammad Ravi; Aziz, Muhammad Luthfi
INERSIA lnformasi dan Ekspose Hasil Riset Teknik Sipil dan Arsitektur Vol. 18 No. 2 (2022): December
Publisher : Universitas Negeri Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21831/inersia.v18i2.53248

Abstract

The increasing population is definitely in line with the rising demand for housing. One area with many residents is Tangerang Regency, Banten with a population growth rate of 5,85% per year. PT. Summarecon Agung Tbk. becomes one of the developers of an integrated area in Tangerang Regency in fulfilling housing's need. However, the wider the development of an area, it is parallel with the changes in land cover that significantly impact surface runoff. Therefore, this study aims to determine the surface runoff in the Summarecon Serpong area. The research method used is the Secondary Data Analysis (SDA) approach which requires several data; rainfall, land cover, and soil type. These data were then processed using Frequency Analysis to obtain design rainfall and continued to the SCS-CN Method to obtain surface runoff with the return period at 2 years, 5 years, 10 years, 20 years, and 100 years. The land cover in the Summarecon Serpong area was dominated by buildings, with the Hydrologic Soil Groups (KHT) in the form of Groups C and D. The calculation of the Composite Curve Number (CNk) value based on land cover and Hydrologic Soil Groups were 88,89, while the calculation of direct runoff using the SCS CN Method with a return period of 2 years, 5 years, 10 years, 20 years, and 100 years respectively were 77 mm, 121 mm, 154 mm, 188 mm, and 275 mm. The lowest surface runoff occurred on land cover in the form of green open land with Hydrologic Soil Group C, and the highest surface runoff occurred on land cover in the form of water bodies. This analysis indicates that focusing on the green open land in the Summarecon Serpong area can reduce surface runoff while increasing infiltration to maintain the sustainability hydrologic system.
WATER FOOTPRINT DI SEMARANG: STUDI PADA TANAMAN JAGUNG, KEDELAI, DAN KACANG TANAH Bandur, Hillaryana Epriscamayeni; Louisa, Cindy; Cantik, Bella Koes Paulina; Fadilah, Shofwatul; Sapan, Elenora Gita Alamanda
JMTS: Jurnal Mitra Teknik Sipil Volume 8, Nomor 4, November 2025
Publisher : Prodi Sarjana Teknik Sipil, FT, Universitas Tarumanagara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24912/jmts.v8i4.34489

Abstract

The water footprint value represents the estimated water requirement for a given commodity. Pulses are among the crops that necessitate consideration of water footprint values due to their significance as staple foods and their potential to diversify commodities, such as maize, soybeans, and peanuts. Given the essentiality of optimizing water use in agriculture sector, Semarang Regency is one of areas in Java with substantial potential for producing maize, soybeans, and peanuts. Therefore, this study aims to evaluate water footprint values to assess the efficiency of water use in the cultivation of these crops. The research methodology employed sensitivity analysis to directly identify variables influencing the water footprint values. The data utilized encompassed the study area, climatic conditions, crop types, fertilization applications, and soil types specific to the regions under review. Analysis results indicated the highest water footprint value in peanuts at 2863.35 m3/ton, followed by soybeans at 1927.91 m3/ton, and the lowest in maize at 921.67 m3/ton. Additionally, 2018 recorded the highest average water footprint value, suggesting possible external factors affecting water use efficiency in crop production that year. Furthermore, internal factors such as crop type and soil conditions influenced the variability in these water footprint values. Abstrak Nilai jejak air mewakili perkiraan kebutuhan air untuk komoditas tertentu. Kacang-kacangan merupakan salah satu tanaman yang memerlukan pertimbangan nilai jejak air karena pentingnya sebagai makanan pokok dan potensinya untuk mendiversifikasi komoditas, seperti jagung, kedelai, dan kacang tanah. Mengingat pentingnya mengoptimalkan penggunaan air di sektor pertanian, Kabupaten Semarang merupakan salah satu daerah di Jawa yang memiliki potensi besar untuk memproduksi jagung, kedelai, dan kacang tanah. Oleh karena itu, penelitian ini bertujuan untuk mengevaluasi nilai water footprint untuk menilai efisiensi penggunaan air dalam budidaya tanaman tersebut. Metodologi penelitian menggunakan analisis sensitivitas untuk mengidentifikasi secara langsung variabel-variabel yang mempengaruhi nilai jejak air. Data yang digunakan meliputi wilayah studi, kondisi iklim, jenis tanaman, aplikasi pemupukan, dan jenis tanah yang spesifik untuk wilayah yang ditinjau. Hasil analisis menunjukkan nilai jejak air tertinggi pada kacang tanah sebesar 2863,35 m3/ton, diikuti oleh kedelai sebesar 1927,91 m3/ton, dan terendah pada jagung sebesar 921,67 m3/ton. Selain itu, tahun 2018 mencatat nilai rata-rata jejak air tertinggi, yang menunjukkan kemungkinan adanya faktor eksternal yang mempengaruhi efisiensi penggunaan air dalam produksi tanaman pada tahun tersebut. Selain itu, faktor internal seperti jenis tanaman dan kondisi tanah juga mempengaruhi variabilitas nilai jejak air ini.