Riyan Benny Sukmara
@itk.ac.id
Department of Civil Engineering
Institut Teknologi Kalimantan
Lecturer at Institut Teknologi Kalimantan
EDUCATION
PhD (Cand), Department of Civil Engineering, National Central University, Taiwan
Master of Engineering, Department of Civil Engineering, Institut Teknologi Sepuluh Nopember (ITS) Surabaya, Indonesia
Scopus Publications
Scholar Citations
Scholar h-index
Scholar i10-index
Scopus Publications
O. L. Sari, R. M. K. Yanti, A. Fauzi, M. F. Wahab, and R. B. Sukmara
AIP Publishing
Rossana M. K. Yanti, A. Fauzi, O. L. Sari, M. F. Wahab, and R. B. Sukmara
AIP Publishing
Ariyaningsih, Riyan Benny Sukmara, Chandrali Sarkar, Dwi Putri Agustianingsih, and Rajib Shaw
Springer International Publishing
Ray-Shyan Wu, You-Yu Sin, Jing-Xue Wang, Yu-Wen Lin, Hsing-Chuan Wu, Riyan Benny Sukmara, Lina Indawati, and Fiaz Hussain
MDPI AG
The reliability of weather radar data in real-time flood forecasting and early warning system remain ambivalent due to high uncertainty in Quantitative Precipitation Forecasts (QPF). In this study, a methodology is presented with the objective to improve the flood forecasting results with the application of radar rainfall calculated in three different ways. The QPF radar rainfall forecast data of four typhoon events in Fèngshān River Basin, Taiwan, were simulated using the WASH123D numerical model. The simulated results were corrected using a physical real-time correction technique and compared with direct simulation without correction for all three QPF calculation methods. According to model performance evaluation criteria, in the third method of QPF calculation, flood peak error was the lowest in all three methods, indicating better results for flood forecasting and can be used for flood early warning systems. The impact of the real-time correction technique was assessed using mass balance analysis. It was found that flow change is between 16% and 42% from direct simulation, indicating being on the safe side in case of a flood warning. However, the impact of the real-time physical correction on the water level itself is in a reasonable range. Still, QPF rainfall correction/calculation is more important to obtain accurate results for flood forecasting. Therefore, the application of real-time correction to correct the model water level has a certain degree of credibility, which is the mass balance of the model. This approach is recommended for flood forecasting early warning systems.
E T Mamangkey, R B Sukmara, and Ariyaningsih
IOP Publishing
AbstractCurrently, 73% of the water demand in Balikpapan was only supplied from Manggar Reservoir, and it will continue decreasing parallelly with the increasing population. Regarding the population issues and the government’s planning for the new capital city of Indonesia, Balikpapan will be a buffer city facing serious risk in water supply issues in the future. Therefore, this study seeks to analyze an alternative of water supply. Following the concepts in Water Sensitive Urban Design (WSUD), The rainwater harvesting (RWH) method was chosen for preventive analysis, and Institut Teknologi Kalimantan (ITK) as one of the reputable’s universities in Balikpapan will be taken as a study location. The results obtained that the monthly water demand in ITK was ranged from 3228.34 m3to 16632.97 m3. Using RWH, water supply analysis was obtained from 3790.62 m3to 10697.31 m3in various rainfall durations (0.5 to 2 hours) and 20 years projections (2022 to 2042). Following the obtained water supply. This study also reveals that the savings of total water usage can be reached from 24% to 100%, and around IDR 14,082,002 to IDR 37,035,390 is converted to currency. The highest saving reached due to water supply meets the water demand.
Ariyaningsih, R B Sukmara, and L Pradita
IOP Publishing
Abstract The Sendai Framework for Disaster Risk Reduction 2015-2030 (SFDRR) serves as the international standard for disaster risk reduction. The SFDRR places a new emphasis on risk reduction during the post-disaster recovery phase. Additionally, SFDRR encourages tangible and verifiable outcomes for catastrophe loss reduction, such as indicators for tracking progress toward seven global targets. The purpose of this article is to map the current response to the biological disaster (Covid-19) in the City of Balikpapan, Indonesia, for the Sendai Framework, using academic literature and publicly available data from governments and organizations. To provide timely responses to COVID-19 at the municipal level, this study conducted a rapid examination of newly available information from the Balikpapan government and other sources. According to the analysis’s findings, Covid 19 will have ramifications for the Sendai Framework unless the government adopts necessary legislation to keep the Sendai Framework on track. SDFRR was used to detect COVID-19 responses in Balikpapan City, although one target in the SFDRR is unclear or unidentified. Despite the fact that this goal, “Improving Disaster Preparedness for Effective Response and “Building Back Better” in Recovery, Rehabilitation, and Reconstruction,” is crucial to the Sendai Framework’s success.