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Doddi Yudianto
Department Of Civil Engineering, Faculty Of Engineering, Parahyangan Catholic University
Agriculture, Biological Sciences & Forestry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Library & Information Science Mathematics Social Sciences Transportation

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OPTIMASI PERENCANAAN SISTEM DRAINASE KAWASAN INDUSTRI DI CIKARANG, KABUPATEN BEKASI, JAWA BARAT Angela Grace; Doddi Yudianto; Finna Fitriana
JURNAL TEKNIK HIDRAULIK Vol 13, No 2 (2022): JURNAL TEKNIK HIDRAULIK
Publisher : Pusat Litbang Sumber Daya Air, Kementerian Pekerjaan Umum dan Perumahan Rakyat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32679/jth.v13i2.712

Abstract

Pembangunan kawasan industri sebagai pusat kegiatan industri harus dilengkapi dengan sarana dan prasarana yang mendukung. Salah satunya adalah pembangunan kawasan industri di Cikarang, Kabupaten Bekasi, Jawa Barat. Studi ini bertujuan untuk merancang sistem drainase dan pengendalian banjir untuk menekan hidrograf banjir setelah pembangunan agar menyerupai kondisi eksisting saat sebelum dibangun. Studi ini dilakukan dengan menggunakan data hujan dari pos hujan Cikarang dan data hujan satelit GPM. Selanjutnya, analisis dilakukan dengan menggunakan dua metode, yaitu metode rasional dan pemodelan menggunakan program SWMM. Pada perencanaannya, sistem drainase kawasan dibagi menjadi dua saluran, yaitu saluran kiri dan kanan, yang keduanya dialirkan menuju saluran utama. Dimensi saluran direncanakan untuk dapat menampung curah hujan rencana periode ulang 2 tahun, dengan tinggi jagaan periode ulang 10 tahun. Berdasarkan hasil perhitungan dengan menggunakan metode rasional, dimensi yang diperoleh berkisar antara 0,2 x 0,2 m hingga 0,3 x 0,4 m untuk talang, 0,3 x 0,4 m hingga 1 x 1 m untuk saluran. Selanjutnya, dilakukan pemodelan menggunakan SWMM, di mana dimensi saluran dapat dioptimalisasi menjadi 0,3 x 0,3 m hingga 1 x 0,8 m. Hasil analisis menunjukkan bahwa perencanaan sistem drainase menggunakan pemodelan SWMM menghasilkan dimensi saluran yang lebih kecil dibandingkan dengan metode rasional. Disamping itu, terjadi peningkatan debit puncak dan volume limpasan, dengan angka peningkatan terbesar mencapai lebih dari 300% untuk curah hujan rencana periode ulang 2 tahun, karena adanya perubahan tata guna lahan akibat pembangunan kawasan. Untuk menanggulangi peningkatan tersebut, direncanakan dua kolam tampungan dengan luas 88 x 10 m yang dilengkapi dengan pompa.Kata Kunci:     Alih fungsi lahan, metode rasional, pengendalian banjir perkotaan, sistem drainase, SWMM
Establishing a Simple-yet-effective Approach of Early Warning System for Storm-Induced Earth-Filled Dam-Break Cases in Data-sparse Region Doddi Yudianto; Farrell Wiguna; Bobby Minola Ginting; Albert Wicaksono; Xie Yuebo
Journal of the Civil Engineering Forum Vol. 9 No. 2 (May 2023)
Publisher : Department of Civil and Environmental Engineering, Faculty of Engineering, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/jcef.6126

Abstract

Historically, the occurrence of dam-break cases has been proven to cause significant loss of life and economical damage. Apart from the catastrophic nature of dam-breaks, the absence of a robust disaster prevention system exacerbates the disasters that occur. This study proposes an Early Warning System (EWS) to mitigate the impact of dam-break disasters. However, predicting the occurrence of such disasters is challenging, specifically in areas like Indonesia, where comprehensive data recording is lacking. While it may be difficult to predict the occurrence of a sunny day break, the storm-induced break is more predictable. Therefore, this study proposes a simple yet effective macro-based EWS for Earth-Filled Dam-Break Cases using a macro approach based on the Evacuation Clearance Time (ECT). By comparing the ECT value with the arrival time of the floods from the affected areas, additional evacuation time can be obtained, which will be used to determine the EWS. The proposed EWS for Cengklik Dam is given in three levels of warning indicated by the reservoir water level at +141.36 m, +141.40 m, and +141.45 m. With the proposed EWS, the results show that 100% of people are expected to reach the evacuation point safely. The case study shows that the proposed EWS can significantly reduce the risk impact of the dam-break events.
STUDY ON FLOOD CONTROL OF THE CILEUWIBANGKE RIVER DUE TO RESIDENTIAL AREA DEVELOPMENT IN BOGOR CITY, WEST JAVA Doddi Yudianto; Finna Fitriana; Albert Wicaksono; Theo Senjaya
JURNAL TEKNIK HIDRAULIK Vol 14, No 2 (2023): 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.v14i2.741

Abstract

ABSTRACTBogor City, renowned for its high rainfall value, has experienced rapid economic growth, leading to a substantial surge in population. This, in turn, has prompted extensive development, disrupting land use in the urban area. Consequently, effective area planning incorporating an adequate drainage system is imperative to mitigate flooding. The Cileuwibangke River, located south of Bogor City, traverses a residential area earmarked for conversion into commercial and industrial zones. Therefore, evaluating the floodwater level of the Cileuwibangke River is crucial, both in its existing state and post-construction. This study utilized daily data from the Gadog Rainfall Station and hourly data from the GPM satellite spanning from 2001 to 2020 for rainfall analysis. It revealed that several rain events exceeded the 2, 5, and 10-year return periods. Rainfall-runoff analysis showed that changes in land use resulted in a 35-36% increase in peak flood discharge and a 22-28% increase in runoff volume compared to the existing condition. The findings indicated that the normalization of the river section on the residential area side did not significantly lower the floodwater level, attributed to three broad-dimension culverts. Moreover, strengthening the river's bottom and banks is essential due to the observed hydraulic jump indication. Upstream riverbed protection can be achieved with a 35 m stretch of rock material. Keywords:       Bogor City, Cileuwibangke River, HEC-HMS, HEC-RAS, and Urban Flood ABSTRAKKota Bogor, dikenal dengan curah hujannya yang tinggi, mengalami pertumbuhan ekonomi yang tinggi sehingga menyebabkan peningkatan jumlah penduduk yang cukup pesat. Hal ini memicu pembangunan besar-besaran yang mengubah fungsi lahan di kawasan perkotaan. Oleh karena itu, perencanaan kawasan dengan sistem drainase yang memadai diperlukan untuk mencegah terjadinya banjir. Sungai Cileuwibangke, yang terletak di selatan Kota Bogor, mengalir melalui kawasan pemukiman yang akan dikembangkan menjadi kawasan komersial dan industri. Sehingga, perlu dilakukan evaluasi tinggi muka air banjir Sungai Cileuwibangke baik pada kondisi eksisting maupun setelah konstruksi. Studi ini menggunakan data harian Pos Hujan Gadog dan data jam-jaman satelit GPM dari tahun 2001 hingga 2020 untuk melakukan analisis curah hujan. Ditemukan bahwa beberapa kejadian hujan memiliki nilai lebih besar dari hujan rencana periode ulang 2, 5, dan 10 tahun. Berdasarkan analisis curah hujan-limpasan yang dilakukan, diketahui bahwa alih fungsi lahan mengakibatkan peningkatan debit banjir puncak dan volume limpasan masing-masing sebesar 35-36% dan 22-28% dibandingkan dengan kondisi eksisting. Hasil penelitian menunjukkan bahwa normalisasi ruas sungai di sisi pemukiman tidak menurunkan debit banjir secara signifikan, dikarenakan adanya tiga gorong-gorong berdimensi lebar pada kawasan tersebut. Selain itu, perlu dilakukan perkuatan dasar sungai dan bantaran sungai dikarenakan adanya indikasi loncatan hidraulik. Perlindungan dasar sungai dapat dilakukan di hulu dengan menggunakan material batuan sepanjang 35 m.Keywords:            Banjir Perkotaan, HEC-HMS, HEC-RAS, Kota Bogor, dan Sungai Cileuwibangke
Investigation of Deoxygenation Rate Determination in Cikakembang River, West Java, Indonesia Fitriana, Finna; Yudianto, Doddi; Polisar, Andrea; Sanjaya, S
Journal of the Civil Engineering Forum Vol. 10 No. 1 (January 2024)
Publisher : Department of Civil and Environmental Engineering, Faculty of Engineering, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/jcef.8377

Abstract

Cikakembang River, a tributary of Citarum River, is situated in the densely populated Majalaya District, renowned for textile production. Direct discharges of domestic and industrial pollutants into the river contribute to substantial pollution, making it crucial to manage pollution levels. This implies that controlling pollution is crucial, as it significantly impacts the condition of Citarum River, already infamous as one of the world most polluted rivers. A key indicator for assessing river water quality is Biological Oxygen Demand (BOD), representing the oxygen required for microorganism-mediated decomposition. This parameter is influenced by deoxygenation rate, denoted as kd. Therefore, this study aimed to analyze the most suitable kd value for Cikakembang River using various empirical methods, including Simple, Fujimoto, Sawyer, Thomas, Fair, and Hydroscience. The result showed that Thomas method provided the most accurate prediction for BOD concentration of the river. In rainy season, Root mean square error (RMSE), mean absolute percentage error (MAPE), and coefficient of determination (R2) values were 0.542, 0.035, and 0.981, respectively, and in dry season, the values were 0.117, 0.009, and 0.999. Additionally, kd value effectively simulated the river water quality using HEC-RAS, yielding satisfactory results. RMSE, MAPE, and R2 values for BOD concentration were 3.551, 0.162, and 0.331 in rainy season and 1.071, 0.100, and 0.812 in dry season. Finally, the modeling result showed that Cikakembang River did not meet the Class 2 Water Quality Standard during both rainy and dry seasons. This finding is critical, as it underscores the severity of the pollution problem in the river and the urgent need for comprehensive and effective management strategies to improve its water quality.
Water Quality Modelling with Industrial and Domestic Point Source Pollution: a Study Case of Cikakembang River, Majalaya District Kent, Steven; Yudianto, Doddi; Gao, Cheng; Fitriana, Finna; Wang, Qian
Journal of the Civil Engineering Forum Vol. 10 No. 2 (May 2024)
Publisher : Department of Civil and Environmental Engineering, Faculty of Engineering, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/jcef.11807

Abstract

Rapid industrial development is one of the leading causes of environmental degradation. The textile industries and the domestic activities in Majalaya District produce wastewater directly discharged into the Cikakembang River. As a result, the Cikakembang River’s water quality has decreased to the point that the water quality cannot be used for daily needs. This study modeled three main parameters in water quality modelling, namely Dissolved Oxygen (DO), Biological Oxygen Demand (BOD), and Chemical Oxygen Demand (COD). Using MATLAB, the three-water quality governing equations originating from the Advection-Dispersion Equation were solved using the Runge Kutte-4 discretization scheme. The numerical modelling was carried out along 2.36 km of the Cikakembang River. All water quality coefficients, such as the DO Saturation (DOsat), the Reaeration Rate (ka), the Dispersion Coefficient (D), the Deoxygenation Rate (kd), and the Decomposition Rate (kc), for the Cikakembang River were estimated using equations developed by existing studies. The estimation of ka and D coefficients requires hydraulic parameters, which in this study were estimated using the HEC-RAS simulation. Meanwhile, kd and kc values were obtained from the calibration and verification process. The Relative Root Mean Square Error (RRMSE) objective function was used to evaluate the results of water quality modelling at three sampling points. In the calibration process, the resultsof water quality modelling produced RRMSE values for the DO, BOD, and COD parameters of 1.99%, 0.36% and 0.92%, respectively. Meanwhile, for the verification process, the RRMSE values for the DO, BOD, and COD parameters are 1.95%, 1.02% and 1.86%. All water quality parameters produce small RRMSE values in the calibration and verification processes. Hence, the water quality model created has good accuracy and stability.
GPM-based Conversion of Daily to Hourly Rainfall Data for Flood Modelling in Kuranji Cristobal, Jose; Yudianto, Doddi; Li, Qiaoling; Wicaksono, Albert
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.
Cikakembang River Restoration from the Perspective of Numerical Modelling Kent, Steven; Yudianto, Doddi; Gao, Cheng; Fitriana, Finna; Wang, Qian
SINERGI Vol 29, No 2 (2025)
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/sinergi.2025.2.020

Abstract

The poor condition of the Citarum River demands more significant pollution control. One alternative for controlling pollution can be limiting the amount of wastewater entering one of the tributaries of the Citarum River, namely the Cikakembang River. This study is a follow-up study that will model heavy metal parameters in the Cikakembang River. Data collection was carried out six times, where the heavy metal parameter detected was copper. Numerical modelling for copper parameters was carried out using MATLAB software with the Runge Kutte-4 discretisation scheme. The study location covers 2.36 km upstream of the Cikakembang River, with 12 textile industry wastewater disposal points. Numerical modelling results for copper parameters show a settling rate of heavy metal particles of 40 day-1, with a maximum RRMSE value of 9.97%. Combining the water quality models for organic and heavy metal parameters created, pollution control simulations can be run in both seasons. The pollution control scenario aims to find the maximum amount that enters the Cikakembang River without passing the class four river water quality standards. The selection of the standard is based on the use of Cikakembang River water, namely for irrigation purposes. Based on the results of pollution control simulations, the pollutant carrying capacity for BOD, COD and copper parameters in the Cikakembang River is 199.43 kg/day, 1103.80 kg/day and 4.06 kg/day, respectively.
Evaluasi Curah Hujan Berbasis Data Global pada DAS Wae Mese, Labuan Bajo Sabu, Maria Kalista Hadia; Yudianto, Doddi; Wijaya, Obaja Triputera
JURNAL SUMBER DAYA AIR Vol 21, No 1 (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.v21i1.906

Abstract

Accuracy of rainfall data is very important in hydrological analysis, especially in areas with limited data such as Labuan Bajo City, Indonesia. Global climate data generated from satellite observations and assimilation products, which are freely available, have great potential for use in data scarce areas. However, this data needs to be evaluated to measure its accuracy in rainfall estimates. This research aims to evaluate the accuracy of eight global rainfall data products, namely Global Precipitation Measurement (GPM), Precipitation Estimation from Remotely Sensed Information using Artificial Neural Networks (PERSIANN), Precipitation Estimation from Remotely Sensed Information using Artificial Neural Networks – Cloud Classification System (PERSIANN-CCS), Precipitation Estimation from Remotely Sensed Information using Artificial Neural Networks - Climate Data Record (PERSIANN-CDR), Precipitation Data Integration and Retrieval - Now (PDIR-Now), European Reanalysis for the 5th Generation (ERA5), European Reanalysis for the 5th Generation Land (ERA5-LAND), and Climate Hazards Group InfraRed Precipitation with Station Data (CHIRPS) at two temporal scales: monthly and 15-daily. Evaluation is carried out using an assessment matrix which includes Root Mean Square Error (RMSE), Nash-Sutcliffe Efficiency (NSE), correlation (r), and Relative Bias (RB). The evaluation results show that on a monthly scale, ERA5, PERSIANN, and GPM provide the best results, with ERA5 being the top. On a 15-daily scale, ERA5 also shows the best performance, followed by GPM and ERA5-LAND. These findings confirm that ERA5 is the main choice for monitoring rainfall in Labuan Bajo City, which is very important for water resource management in areas with limited direct observation data.
Evaluasi Data Hujan Berbasis Satelit untuk Menentukan Debit Aliran Masuk Waduk Selorejo Menggunakan Model HBV-96 Hidayat, Ivana Nathalia; Yudianto, Doddi; Sanjaya, Stephen
JURNAL SUMBER DAYA AIR Vol 21, No 1 (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.v21i1.907

Abstract

Effective reservoir management can be supported by applying rainfall-runoff hydrological models. However, one of the main challenges of such models lies in the availability of reliable rainfall data. Satellite-based rainfall data offer a viable alternative to address this issue. This study aims to evaluate the reliability of satellite-based rainfall data for hydrological applications, specifically for simulating reservoir inflow using the HBV-96 model in the Selorejo Reservoir. The rainfall data used in this study include satellite-based datasets from TRMM, GPM, and RCM, tested in both raw and corrected forms. The HBV-96 model parameters were calibrated using observed rainfall data from 1998 to 2008, achieving a correlation coefficient and Nash-Sutcliffe Efficiency (NSE) of 0.86 and 0.72, respectively, for simulated streamflow. The model's performance was subsequently verified using observed rainfall data from 2009 to 2016, yielding consistent results with a correlation coefficient and NSE of 0.832 and 0.71, respectively. These calibrated parameters were then applied to the satellite rainfall datasets. The findings reveal that, in general, corrected TRMM satellite rainfall data using regression equations were not suitable for hydrological modelling. However, TRMM data corrected using duration curves significantly reduced deviations by up to 50% compared to raw data and provided better-simulated streamflow results, aligning more closely with observed streamflow. Conversely, RCM rainfall data, whether raw or corrected, performed poorly in the HBV model, with negative NSE values. Meanwhile, the bias-corrected GPM satellite rainfall data demonstrated the best performance in the HBV model, with a maximum deviation of only 5.81%.
Studi Pemanfaatan Curah Hujan Bulanan Satelit GPM di Kawasan Bandung Raya dengan Validasi Silang Monte-Carlo Sanjaya, S; Yudianto, Doddi; Adidarma, Wanny; Fitriana, Finna
Jurnal Rekayasa Konstruksi Mekanika Sipil Vol 5 No 1 (2022): Volume 5 Nomor 1 Tahun 2022
Publisher : Fakultas Teknik Universitas Katolik Santo Thomas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54367/jrkms.v5i1.1804

Abstract

Keterbatasan sebaran dan jumlah pos penakar hujan dapat diatasi pengukuran hujan berbasis satelit. Seiring perkembangan teknologi, pengukuran hujan berbasis satelit, seperti GPM menunjukkan akurasi dan cakupan yang semakin membaik. Tentunya penggunaan hujan satelit ini juga perlu disertai dengan proses validasi berupa koreksi yang semakin mampu meningkatkan performanya. Banyak studi evaluasi dan koreksi data satelit telah dilakukan, hanya ada studi terbatas yang telah dilakukan di Indonesia. Oleh karena itu, studi ini bermaksud untuk mengevaluasi performa data hujan berbasis satelit (GPM IMERG) dan melakukan koreksi dengan metode validasi silang Monte-Carlo di Bandung Raya. Secara spesifik, studi ini menitikberatkan pada perbandingan antara data GPM dan pos hujan melalui analisis statistik untuk hujan bulanan. Hasil menunjukkan bahwa, data GPM mampu mendeteksi pola hujan bulanan dengan baik. Data bulanan tersebut dikelompokkan berdasarkan musimnya dan menghasilkan korelasi hujan musim kering yang lebih baik pada musim basah. Koreksi dengan MCCV dengan simulasi 1.000 kali berdasarkan musim tersebut menunjukkan peningkatan performa rata-rata sebesar 70% untuk bias relatif, dan 30% untuk RMSE, di kawasan Bandung Raya.
Co-Authors Adhita Prasetya Adidarma, Wanny Albert Wicaksono Andreas F. V. Roy Angela Grace Ariberto Jonathan Bambang Adi Riyanto Bambang Adi Riyanto Bobby Minola Ginting Cleon Christopher Cleon Christopher Cristobal, Jose EKo Winar Irianto Farrell Wiguna Farrell Wiguna Finna Fitriana Fiona, Megan Fitriana, Finna Gao, Cheng Guan, Yiquing Hidayat, Ivana Nathalia Irianto, Eko Winar Jonathan Wijaya Kent, Steven Li, Qiaoling Li, Ren Polisar, Andrea Prasetya, Adhita Prasetya, Muhamad Demirel Prilla Lidyana Purwana, Okky Ahmad R. Wahyudi Triweko Rahmat Sudiana Robertus Wahyudi Triweko RW Triweko S Sanjaya S Sanjaya Sabu, Maria Kalista Hadia Sanjaya, S Sanjaya, Stephen Seo, Yong Chan Steven Kent Tandiono, Felix Theo Senjaya Theo Senjaya Tirza, Evely Triweko, Robertus Wahyudi Waluyo Hatmoko Wang, Qian Wanny K Adidarma Wanny K. Adidarma Wijaya, Obaja Triputera Willy Aulia Willy Willy Willy, Willy Wimordi, Calvin Xie Yuebo Xie Yuebo Xie Yuebo Yiqing, Guan Yiquing Guan Yong Chan Seo Yuebo, Xie Zhang Xiuju