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All Journal MEDIA KOMUNIKASI TEKNIK SIPIL Jurnal Sains dan Teknologi Jurnal Mahasiswa Jurusan Teknik Pengairan Jurnal Teknik Pengairan: Journal of Water Resources Engineering Jurnal Penelitian Pendidikan IPA (JPPIPA) Civil Engineering Journal Civil and Environmental Science Journal (CIVENSE) Jurnal Teknologi dan Rekayasa Sumber Daya Air Geosfera Indonesia
Donny Harisuseno
Jurusan Teknik Pengairan Fakultas Teknik Universitas Brawijaya
Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Earth & Planetary Sciences Education Engineering Environmental Science Materials Science & Nanotechnology Physics

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Meteorological Drought Analysis Based on Satellite Rainfall Data in the Slahung Sub Watershed Friyana, Acha Octa; Harisuseno, Donny; Bisri, Mohammad
Jurnal Teknik Pengairan: Journal of Water Resources Engineering Vol. 16 No. 1 (2025)
Publisher : Fakultas Teknik, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.pengairan.2025.016.01.5

Abstract

As a country in the tropics, Indonesia experiences drought almost yearly. However, prevention is still very slow, particularly in East Java Province, making it a prolonged problem. Meteorological drought is closely related to climate anomalies or weather instability that result in changes in rainfall patterns. Meteorological drought is analyzed using the EDI (Effective Drought Index) method. As a form of meteorological drought disaster mitigation, good and evenly distributed rainfall data is needed. Satellite technology such as CHIRPS can complement the uneven distribution of rain stations and areas difficult to reach by meteorological stations. The analysis shows that the worst drought occurred in 2005 with a minimum index value of -2.41, followed by 2007 (-1.94), 2012 (-1.55), 2017 (-1.62), and 2019 (-1.50). Based on the trend of drought events that occur every 2 to 5 years. This study’s results indicate that satellite rainfall data can help provide a more complete picture of drought conditions in the Slahung Sub watershed. With this study, an early warning system for drought mitigation is expected to be developed, and more effective measures can be planned to deal with future drought disasters in Ponorogo Regency.
Evaluation and Comparison of Satellite and Reanalysis Precipitation Products over the Bodor Sub Watershed, Indonesia Sitepu, Haniyah; Harisuseno, Donny; Fidari, Jadfan Sidqi
Jurnal Teknik Pengairan: Journal of Water Resources Engineering Vol. 16 No. 1 (2025)
Publisher : Fakultas Teknik, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.pengairan.2025.016.01.8

Abstract

Reliable rainfall data is crucial for managing water resources, especially in agricultural regions like the Bodor Sub Watershed. This study comprehensively evaluates two precipitation products, the satellite-based CHIRPS dataset and the reanalysis ERA 5 dataset within the Bodor Sub Watershed. Both products were compared against gauge data at three timescales (monthly, 15-days, 10-days) for seven locations (Bodor Sub Watershed region and six rain gauges). Statistical parameters, including Nash Sutcliffe Efficiency (NSE), RMSE-observation standard deviation ratio (RSR), Pearson correlation coefficient (CC), and percent bias (PBIAS), were used to assess the performance of each precipitation product. Results consistently demonstrate that ERA 5 outperforms CHIRPS in most locations and time scales, particularly monthly. ERA 5 exhibited superior performance in over 85% of the analyses, with NSE values ranging from 0.164 to 0.862, RSR values from 0.992 to 0.372, and CC values from 0.507 to 0.932. ERA 5 also excelled in 57% of the bias analyses (PBIAS: -13.436 to 10.188). Regional validation consistently showed more favorable results compared to gauge-based validation. Additionally, data availability significantly influences product accuracy, with stations processing longer records exhibiting superior performance. This study offers valuable insights into the suitability of CHIRPS and ERA 5 hydrological applications in Bodor Sub Watershed, particularly in data-scarce regions. It contributes to improved water resources management strategies.
Projection of Precipitation in the Wonogiri Reservoir Based on CORDEX-SEA Model Output Hastina, Hastina; Wahyuni, Sri; Harisuseno, Donny
Jurnal Teknik Pengairan: Journal of Water Resources Engineering Vol. 16 No. 1 (2025)
Publisher : Fakultas Teknik, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.pengairan.2025.016.01.10

Abstract

Precipitation variability significantly impacts water resource management, especially in regions like the Wonogiri Reservoir, which relies heavily on stable precipitation for agriculture, flood control, and water supply. This study investigates precipitation projections for the Wonogiri Reservoir area using CORDEX-SEA simulations under RCP 4.5 and RCP 8.5 scenarios for 2024–2050. Bias correction using Artificial Neural Networks is applied to improve the accuracy of the projections by aligning them with historical observations (1991-2005). The effectiveness of bias correction in 2006-2023 was evaluated using statistical metrics, including Pearson correlation coefficient (R), Percent Bias (PBIAS), and Mean Absolute Error (MAE). The results indicate significant improvements after bias correction. Correlation (R) increased by 13.75% and 17.63% for RCP 4.5 and RCP 8.5, respectively. As measured by PBIAS, systematic bias decreased by 61.09% (RCP 4.5) and 59.85% (RCP 8.5). Similarly, 61.12% and 59.84% MAE reductions were observed for the two scenarios. Post-correction, RCP 4.5 projections align more closely with historical observations, suggesting more stable precipitation patterns under moderate emission scenarios. In contrast, RCP 8.5 displays more significant interannual variability, with pronounced peaks and troughs, indicating increased risks of extreme precipitation under high-emission pathways. The study highlights the importance of integrating corrected precipitation projections into regional water resource planning and adaptation strategies to enhance resilience against future climate impacts. Further research is recommended to explore seasonal precipitation dynamics and extreme event frequencies under both scenarios.
Evaluation of Catchment area delineation Methods: Comparison of TOPAZ on WMS with HEC-HMS 4.12 Setiyowati, Yunita Ayu; Harisuseno, Donny; Sajali, M. Amar
Geosfera Indonesia Vol. 10 No. 2 (2025): GEOSFERA INDONESIA
Publisher : Department of Geography Education, University of Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/geosi.v10i2.53253

Abstract

The delineation of catchment areas plays a crucial role in hydrological modeling, influencing water resource management and flood analysis. However, differences in Digital Elevation Model (DEM) resolutions and processing methods can significantly affect the accuracy of delineation results. This study aims to evaluate the differences in catchment area delineation using Hydrologic Engineering Center-Hydrologic Modeling System (HEC-HMS) 4.12 and Watershed Modeling System (WMS) TOPAZ across three DEM resolutions: DEMNAS (8.29 m), ASTER (30 m), and SRTM (90 m). The methodology involves processing DEM data using both software tools, comparing catchment area, main river length, and basin length derived from each resolution. The analysis reveals that higher DEM resolution results in greater similarity between the two methods. At an SRTM resolution of 90 m, the delineated catchment area is 1474.41 km² (WMS) and 1468.03 km² (HEC-HMS), whereas at an 8.29 m DEMNAS resolution, it is 1462.64 km² (WMS) and 1462.91 km² (HEC-HMS). Additionally, significant differences are observed in the main river length, with 44,368.54 m (WMS) and 34,960.17 m (HEC-HMS) at 90 m resolution, and 58,195.71 m (WMS) and 42,537.38 m (HEC-HMS) at 8.29 m resolution. These findings highlight the importance of selecting an appropriate DEM resolution to ensure accurate and consistent hydrological delineation.
Comparison of Correlation, PBIAS and RSR between Monthly, Daily, and Hourly GPM Rainfall Data Setiyowati, Yunita Ayu; Harisuseno, Donny; Sajali, M. Amar
Jurnal Penelitian Pendidikan IPA Vol 11 No 6 (2025): June
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v11i6.11068

Abstract

Accurate precipitation data is critical for hydrological modeling, flood forecasting, and water resources planning. This study evaluates the performance of satellite-based rainfall estimates from the Integrated Multi-satellite Retrievals for GPM (IMERG) Final Run Version 06 by comparing them with ground-based observations from six stations in the Jatigede Reservoir catchment, West Java, Indonesia. The analysis covers the 2014–2023 period, aligning with the reliable availability of IMERG Final Run products, and examines three temporal resolutions: monthly, daily, and hourly. Statistical evaluation employed Pearson correlation coefficient (r), the ratio of RMSE to observed standard deviation (RSR), and Percent Bias (PBIAS). Results show strong agreement at the monthly scale (r = 0.84, RSR = 0.34, PBIAS ≈ +24%), suggesting suitability for long-term water resource assessments. However, performance declines at shorter timescales. At the daily scale, IMERG underestimates rainfall (PBIAS ≈ -27%) with moderate correlation (r = 0.24). The hourly scale shows the poorest performance (r = 0.10, RSR > 3.0, PBIAS < -50%), indicating limitations in capturing short-duration, high-intensity rainfall typical in tropical regions. These findings underscore the importance of temporal aggregation and bias correction when applying IMERG data for operational hydrology and flood modeling
Proyeksi Kekeringan Meteorologi Berdasarkan Skenario Perubahan Iklim RCP 4.5 pada DAS Grindulu Aprilia, Anindi; Harisuseno, Donny; Yuliani, Emma
Jurnal Teknologi dan Rekayasa Sumber Daya Air Vol. 5 No. 2 (2025): Jurnal Teknologi dan Rekayasa Sumber Daya Air (JTRESDA)
Publisher : Fakultas Teknik, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.jtresda.2025.005.02.084

Abstract

Kekeringan meteorologi merupakan salah satu bencana hidrometeorologi yang semakin sering terjadi akibat perubahan iklim global. Kabupaten Pacitan, khususnya Daerah Aliran Sungai (DAS) Grindulu, sering mengalami kekeringan yang disebabkan oleh curah hujan rendah serta kondisi geologi yang kurang mendukung penyimpanan air. Penelitian ini bertujuan untuk memproyeksikan pola, tingkat keparahan, serta distribusi spasial kekeringan di DAS Grindulu berdasarkan skenario perubahan iklim RCP 4.5. Data curah hujan dari model CORDEX dikoreksi menggunakan data observasi dari stasiun hujan guna meningkatkan akurasi estimasi. Metode yang digunakan mencakup koreksi bias data curah hujan, Perhitungan kuantifikasi tingkat kekeringan diformulasikan melalui pendekatan Standardized Precipitation Index (SPI), sedangkan analisis spasial distribusi kekeringan dipetakan dengan metode Inverse Distance Weighted (IDW) dalam perangkat lunak ArcGIS untuk memperoleh representasi pola sebaran kekeringan secara akurat. Wilayah yang sebelumnya mengalami kekeringan ringan hingga sedang berpotensi mengalami kondisi lebih parah, terutama pada musim kemarau panjang. Dengan adanya peta sebaran kekeringan yang lebih akurat, kajian ini diharapkan dapat berfungsi sebagai landasan konseptual bagi otoritas regional dalam merancang skema mitigasi yang terstruktur berbasis pada analisis spasial dan proyeksi perubahan iklim, guna mendukung pengelolaan SDA yang berkelanjutan.
Perbandingan Pola Distribusi Hujan GPM dan ARR dalam Simulasi Banjir Desain Setiyowati, Yunita Ayu; Harisuseno, Donny; Sajali, M. Amar
MEDIA KOMUNIKASI TEKNIK SIPIL Volume 31, Nomor 1, JULI 2025
Publisher : Department of Civil Engineering, Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/mkts.v31i1.72441

Abstract

This study evaluates the performance of Global Precipitation Measurement (GPM) satellite-based rainfall data in comparison to Automatic Rainfall Recorder (ARR) data in forming rainfall distribution patterns and assessing its impact on flood discharge simulation using the HEC-HMS model. Statistical validation was conducted using the Pearson Correlation Coefficient, the ratio of standard deviation of observations to RMSE (RSR), Percent Bias (PBIAS), and Mean Absolute Percentage Error (MAPE). The results show that GPM has a strong correlation with ARR (r = 0.875) and a low RSR value (RSR= 0.256), yet it exhibits a notable negative bias (PBIAS = –24.41%), indicating an underestimation of rainfall values. In contrast, simulations using ARR rainfall patterns produce peak discharges that closely match actual discharge records at the Jatigede Dam outlet, with an average deviation of less than 3% and a MAPE of 1.17%, categorized as very good. The GPM simulation produces peak discharges 13–16% higher than actual observations, with a MAPE of 14.53%, which still falls into the good category. These results suggest that while ARR provides higher accuracy, GPM remains a viable alternative source, especially in data-scarce areas, provided that appropriate calibration methods such as bias correction are applied. This study supports future research in satellite data calibration using machine learning and multivariate statistical approaches.
Flood Prone Mapping based on Surface Runoff Analysis using the SWAT Model at the Upstream Side of Brantas Nurcahyaningtyas, Devi; Harisuseno, Donny; Fidari, Jadfan Sidqi
Jurnal Teknik Pengairan: Journal of Water Resources Engineering Vol. 15 No. 1 (2024)
Publisher : Fakultas Teknik, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.pengairan.2024.015.01.4

Abstract

Currently, Batu City is experiencing rapid development both in terms of population and the amount of land building. Where development is uncontrolled and not balanced by reasonable conservation efforts, it will cause water resource problems such as flooding. So, it is necessary to understand flow patterns better as an actual effort in effective water management and flood hazard mitigation. This study aims to obtain a map of flood-prone areas in the Brantas sub-watershed upstream of Batu City. The primary methodology adopted in this research entails the examination of surface runoff through the utilization of the ArcSWAT program, followed by the analysis of pertinent parameters, including rainfall, land use, soil type, land slope, river density, and surface runoff. Then, scoring and weighting are done before overlaying each parameter to get a flood vulnerability map at the research location. The results of this study indicate that the mapping of flood-prone areas at the most significant research location is at a high level of flood vulnerability of 78.31 km2 or 52.22% of the total area of the watershed.
Hazards and Risk Assessment for Physical Hydraulic Structures of Dam Model in the Laboratory Wiyono Wit Saputra, Anggara; Rubiantoro, Prasetyo; Tri Juwono, Pitojo; Harisuseno, Donny; Sidqi Fidari, Jadfan
Jurnal Teknik Pengairan: Journal of Water Resources Engineering Vol. 15 No. 2 (2024)
Publisher : Fakultas Teknik, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.pengairan.2024.015.02.10

Abstract

Some workers often neglected Occupational Health and Safety (OHS) regulations in the laboratory environment, resulting in potential hazards that ultimately led to workplace accidents. The physical hydraulic model of dam structures in this laboratory involved activities that posed potential risks. Hazard assessment and the risk of workplace accidents were identified through direct field observations to pinpoint potential risks associated with these activities. Questionnaires and interviews with personnel involved in laboratory activities, including workers and technicians, were conducted to gather relevant data concerning the research problem. This study aimed to identify potential risks and hazards using a Job Safety Analysis approach and to assess the risks associated with each activity stage. Risk levels at various stages of work were determined through job safety analysis within the OHS management system. Risk identification encompassed impacts on individuals, equipment, materials, and the environment. The highest high-risk and moderate-risk identified from the assessment are the demolition of the previous dam model in the site preparation step and the preparation of the electric water pump with a capacity of 100 l/second in the running stage. Generally, based on the identified risk categories, risk mitigation for dam model testing work in the laboratory included using Personal Protective Equipment (PPE) such as ear protection, masks, helmets, safety shoes, and gloves to prevent work-related accidents.
MODEL SEBARAN SPASIAL KUALITAS AIR TANAH UNTUK AIR MINUM DI KECAMATAN JOMBANG KABUPATEN JOMBANG Siswoyo, Hari; Harisuseno, Donny; Taufiq, Mohammad; Azhar, Rifqi Fajar
JST (Jurnal Sains dan Teknologi) Vol. 10 No. 2 (2021)
Publisher : Universitas Pendidikan Ganesha

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (490.091 KB) | DOI: 10.23887/jstundiksha.v10i2.33644

Abstract

Most of the population in the Jombang District area uses groundwater from dug wells and bor wells to meet their daily water needs. The quality of water from these wells was not always well controlled. The purpose of this research was to assess the quality of groundwater for drinking water and map its distribution patterns in the research location. The type of this research was development research with a descriptive research design. The groundwater quality index value for drinking water was determined based on the water quality index model and then mapped its distribution spatially in the study area. The spatial distribution of groundwater quality for drinking water in the study area, both during the rainy season and the dry season was dominated by areas with good and very good groundwater quality. The spatial distribution model of groundwater quality can be used as an indicator to assess the appropriateness of groundwater quality for drinking water in the research location.
Co-Authors A Tefa, Marcorio Abdillah, Rusdan Aditama, Dimas Hafiz Aji, Yahya Muchaimin Almira, Aufa Hanan Anggara WWS anggun sugiarti, anggun Aprilansi, Ledib Aprilia, Anindi Atthahirah, Mutiara Azhar, Rifqi Fajar Beselly Putra, Sebrian Mirdeklis Cipta, Dara Marreta Deni Indarwati Dian Chandrasasi Dian Sisinggih Dwi Priyantoro Dwirani, Yosie Eka Wulandari Srihadi Putri, Eka Wulandari Srihadi Emma Yuliani Endang Purwati RN Erfarras, Nadia Nahda Ery Suhartanto Estefanus Wolok Evi Nur Cahya Firdaus, Novinda Faizah Fitriah, Faizah Friyana, Acha Octa Gilang Y. Juantari Guntoro, Dani Eko Guntoro, Dani Eko hari siswoyo Harjono, Marie Augustin Alvidian Pangestuti Ais Hartina Sahabuddin Hastina, Hastina Herdita, Chintya Ayu Permata Herdita, Chintya Ayu Permata Ima Sholikhati Jadfan Sidqi Fidari Lalu Sigar Canggih Ranesa, Lalu Sigar Canggih Lily Montarcih Limantara M. Amar Sajali M. Nurul Huda Maharani, Yasinta Surya Mahyaya M. Rahman Moh. Sholichin Mohammad Bisri Mohammad Rahdiansyah Batubara, Mohammad Rahdiansyah Mohammad Taufiq Nastiti, Nadia Sari Nomleni, Aprianto Nuariman, Panji Anom Nurcahyaningtyas, Devi Partarini, Ni Made Candra Pribadi, Laurentius Prasetya Puspasari, Ria Puteriana, Shintya Agustien Putra, Farhan Akbar Darma Putranto, Yoyok Dwi Rahma, Novi Fadhilah Rahmah Dara Lufira Rakhmawati, Dinia Dwi Rifnawati, Vina Rini Wahyu Sayekti Rini, Syafadilla Enggar Rispiningtati Rispiningtati Riyanto Haribowo Rizal Arifuddin K. Rubiantoro, Prasetyo Sajali, M. Amar Sandi, Yohan Alfanii Sapto Dwi Hari Oktavianto Sari, Devi Puspita Sariyanti, Ni Komang Yuli Setiyowati, Yunita Ayu Sidqi Fidari, Jadfan Sitepu, Haniyah Sri Wahyuni Suhardjono Suhardjono Tri Budi Prayogo, Tri Budi Tri Juwono, Pitojo Tri Kurniawati, Tri Ussy Andawayanti Very Dermawan Visi Murpratiwi, Aisyah Welkis, Davianto Frangky Widandi Soetopo WIJAYANTI, SILVIA DEWI Wijayanto, Andy Wiyono Wit Saputra, Anggara Yan P. S. Tampani, Yan P. S. Yanuar Hendra Pramana, Yanuar Hendra Yunus Fallo