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All Journal MEDIA KOMUNIKASI TEKNIK SIPIL Jurnal Teknik Sipil Research Report - Engineering Science Journal of the Civil Engineering Forum JURNAL TEKNIK HIDRAULIK JURNAL SUMBER DAYA AIR Journal of Infrastructure and Facility Asset Management International Journal of Science and Society (IJSOC) Journal of the Civil Engineering Forum
Albert Wicaksono
Universitas Katolik Parahyangan
Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Energy Engineering Environmental Science Library & Information Science Materials Science & Nanotechnology Mathematics Social Sciences Transportation

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Evaluasi Model Elevasi Digital dalam Pemodelan Genangan Banjir di DAS Wae Mese Pankrasio Mario; Albert Wicaksono; Obaja Triputera Wijaya
JURNAL SUMBER DAYA AIR Vol 22, No 1 (2026)
Publisher : Direktorat Bina Teknik Sumber Daya Air, Kementerian Pekerjaan Umum dan Perumahan Rakyat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32679/jsda.v22i1.984

Abstract

On 7 March 2019 and 31 December 2021, extreme rainfall events occurred in the Wae Mese Watershed, West Manggarai Regency, resulting in the inundation of several villages and agricultural fields. Currently, detailed records regarding the area and depth of these flood events are unavailable, hindering the formulation of comprehensive disaster mitigation plans. This study aims to reconstruct the flood inundation area and depth in the Wae Mese Watershed, while simultaneously evaluating the accuracy of various open-access Digital Elevation Models (DEM). The flood inundation simulation was performed using a two-dimensional (2D) HEC-RAS hydraulic model, driven by flood discharge values derived from a rainfall-runoff model using recorded rainfall data during the events. The flood model simulation results were calibrated against the inundation depth from the 2019 flood event in Golo Bilas, Macang Tanggar, and Gorontalo Villages. The inundation modeling incorporated four open-access DEMs: SRTM DEM, Merit DEM, NASA DEM, and DEMNAS. Simulation results indicated that DEMNAS yielded an inundation depth of 1.03–2.03 m and an inundation area closest to the actual flood event on 7 March 2019. The statistical indicators, such as an RMSE of 0.38, a BIAS of 0.15, a correlation coefficient of 0.92, and a RVE of 10.6%, show that the results are close to the actual flood.  The superior performance of DEMNAS is attributed to its higher spatial resolution compared to the other DEMs, providing a more precise representation of surface topography for modeling inundation areas and river channels. Consequently, DEMNAS is recommended as a reliable reference for developing flood hazard maps and planning flood mitigation strategies in the Wae Mese Watershed.
Pengaruh Laju Sedimentasi terhadap Kapasitas Tampung Danau Sentarum, Provinsi Kalimantan Barat M. Ma'ruf Akafi; Albert Wicaksono
JURNAL SUMBER DAYA AIR Vol 21, No 2 (2025)
Publisher : Direktorat Bina Teknik Sumber Daya Air, Kementerian Pekerjaan Umum dan Perumahan Rakyat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32679/jsda.v21i2.940

Abstract

Lake Sentarum has a unique role as flood control in the lower reaches of the Kapuas River Basin. Changes in land use and high rainfall can cause an increase in the rate of erosion and sedimentation that occurs in the Sentarum Sub-river basin, which potentially reduces the storage capacity of Lake Sentarum. The objective of this study is to determine the sedimentation rate and analyze the impact of sedimentation on the storage capacity of Lake Sentarum.The erosion rate analysis using the Universal Soil Loss Equation (USLE) method shows that in the 2015 to 2020 period, the most significant erosion rate occurred in 2016,which 2016 was the year with the highest rainfall. The erosion rate that occurred in 2016 in the Sentarum Sub-river basin and Lake Sentarum catchment area was 293,622.79 Ton/Ha/year and 160,413.01 Ton/Ha/year, respectively. The types of land cover that have the most impact on erosion rates are dryland agriculture mixed with shrubs, plantations, shrubs, and open land. The sedimentation rate was calculated using the Sediment Delivery Ratio (SDR) method, where the most significant sedimentation rate occurred in 2016 with the sedimentation rate of the Sentarum Sub-river basin was 201.842,37 Ton/Year which resulted 86.702,05 m3 of sediment volume and the Lake Sentarum catchment sedimentation rate was 117.591,64 Ton/Year which resulted in 50.511,87 m3 of sediment volume. With an average sediment volume in the Lake Sentarum catchment from 2015 to 2020 of 42,668.05 m3, Lake Sentarum will lose its capacity by 0.001% each year.
GPM-based Conversion of Daily to Hourly Rainfall Data for Flood Modelling in Kuranji Jose Cristobal; Doddi Yudianto; Qiaoling Li; Albert Wicaksono
JURNAL TEKNIK HIDRAULIK Vol 16, No 1 (2025): Jurnal Teknik Hidraulik
Publisher : Direktorat Bina Teknik Sumber Daya Air, Kementerian Pekerjaan Umum dan Perumahan Rakyat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32679/jth.v16i1.812

Abstract

Tapin District, located in the Kuranji Watershed of South Kalimantan Province, frequently experiences flooding due to heavy rainfall. Flood event simulation can be utilized to generate hourly discharge data for flood early warning systems, addressing the absence of observed hourly discharge data from the Kuranji Automatic Water Level Recorder (AWLR). Moreover, limited watershed parameters and the unavailability of hourly rainfall data pose challenges in developing a hydrological model for the Kuranji Catchment. To overcome this issue, the hourly rainfall distribution pattern from 10 Global Precipitation Measurement Mission (GPM) Satellite grids were used to convert daily rainfall observations recorded at the Talaga Langsat, Lok Paikat, and Tapin Utara rainfall stations Hourly rainfall data from each GPM grid were matched with several synthetic hourly rainfall distribution patterns. The chosen distribution pattern was subsequently applied to simulate flood events using the HEC-HMS model. Two flood events, dated 4–7 March 2017 and 21–23 March 2018, were used for trial fitting to estimate catchment parameters. Simulated hourly discharges were compared with daily discharge data from the AWLR at Kuranji station, using Total Relative Volume Error (TRVE) and Root Mean Square Error (RMSE) as performance indicators. The simulation results demonstrate that daily-to-hourly rainfall conversion is applicable for estimating catchment parameters, with average TRVE and RMSE values of 1.955% and 7.025 m³/s, respectively. Furthermore, the trial fitting results indicate that the simulated discharge values align well with observed peak daily discharge data. Acquiring and incorporating hourly discharge data would enhance the accuracy of daily-to-hourly rainfall conversion by synchronizing the temporal resolution. Additionally, incorporating more flood events into trial fitting tests could produce more robust and representative outcomes.
Co-Authors Bambang Adi Riyanto Bobby Minola Ginting Christopher, Cleon Cleon Christopher Doddi Yudianto Farrell Wiguna Farrell Wiguna Finna Fitriana Fiona, Megan Jose Cristobal Li, Ren M. Ma'ruf Akafi Obaja Triputera Wijaya Pankrasio Mario Qiaoling Li Rahmanto, Fiqih Tandiono, Felix Theo Senjaya Willy Willy Xie Yuebo Yudarsi, Pankrasio Mario