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Uji Model Fisik Bangunan Pelimpah Bendungan Saka Gilas Dengan Skala 1:50 Rahmah Dara Lufira; Muhammad Amar Sajali; Suwanto Marsudi; Very Dermawan
Jurnal Teknik Pengairan: Journal of Water Resources Engineering Vol. 10 No. 1 (2019)
Publisher : Fakultas Teknik, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (658.486 KB) | DOI: 10.21776/ub.pengairan.2019.010.01.7

Abstract

The physical hydraulic model carried out in the laboratory is intended to determine the hydraulic behavior of the flow in hydraulic structures. The aim of Hydraulic model test of Sakagilas Dam spillway is to determine the flow profile that occurs in spillway system, including flow depth, velocity, water flow pressure, and Froude numbers. Also to find out the hydraulic performance of side spillway design, transition channel, chute way channel, energy dissipator, and escape channel. Investigation of water flow pressure in the spillway system (side channel spillway, transition channel, and especially chute way channel) was measured and analyzed to determine the condition of structure safety against cavitation and vibration flow.The spillway of Saka Gilas Dam is a side channel spillway (Fixed+Gated) with an Ogee spillway. The shape of the side spillway is circular quarter circle (45⁰). Preliminary observations on the physical model test are carried out under the condition of Original Design, which if there is a poor flow hydraulic behavior, design modifications will be made. The design modification is intended to get the best flow hydraulic behavior, according to the standard design criteria for the side channel spillway system.
Analisa Safety Factor Sheet Pile Pada PLTMG Pontianak Peaker Dengan Aplikasi Geo5 Muhammad Amar Sajali; Rahmah Dara Lufira; Suwanto Marsudi; Aufa Hanan A
Jurnal Teknik Pengairan: Journal of Water Resources Engineering Vol. 10 No. 2 (2019)
Publisher : Fakultas Teknik, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1406.536 KB) | DOI: 10.21776/ub.pengairan.2019.010.02.01

Abstract

In the past decade, the development of land retaining construction is growing rapidly as optimization of available land use. The purpose of this study is to hold the soil in order to avoid landslide due to the structural load other than the use of available space. The results of the sheet pile analysis at Pontianak Peaker PLTMG found that the SF number in the condition without earthquake (safe condition) is 2.00 and the number of SF in earthquake conditions is 1.40. Based on the results of sheet pile analysis at S-02 and S-03 points in conditions without earthquakes, low tide-without earthquakes, floods-without earthquakes, normal-earthquakes, receding earthquakes, and earthquake floods with earthquakes returning 500 years in analysis the structure and analysis of slope stability are said to be "safe" because the conditions without earthquakes SF values greater than 2.00 and earthquake conditions SF values greater than 1.40.
Estimation of Parameters in Tank Models Analysis From a Discharged Simulation in Sibundong Hydropower Lufira, Rahmah Dara; Marsudi, Suwanto; Haribwowo, Riyanto; Sajali, Muhammad Amar
Journal of Innovation and Applied Technology Vol 8, No 2 (2022)
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.jiat.2022.008.02.8

Abstract

In the planning of hydroelectric power plant requires sufficient discharge data for the purpose of hydrology analysis of the watershed. With the tank model, it is expected to be able to perform a discharge simulation to find out the amount of discharge in the river. The purposes of this study are to apply the tank model in the estimation of river discharge and calculate the dependable discharge on the Sibundong river, in addition, it is also to analyze the potential power of Sibundong hydropower. From the result of the generator discharge analysis, it can be analyzed the probability of discharge reliability based on Flow Duration Curve that is Q = 9.29 m3/s, P = 60 %. The power potential that can be generated for the hydro power operation pattern is 2 x 6.26 MW and the energy is 1,489.96 GWh/year.
Pemanenan Air Hujan (Rainwater Harvesting) Desa Sama Guna Andawayanti, Ussy; Lufira, Rahmah Dara; Prasetyorini, Linda; Sajali, M Amar; Sumiadi, Sumiadi; Sofriansyah, Rafi Satria; Dewanti, Wahyuning
UN PENMAS (Jurnal Pengabdian Masyarakat untuk Negeri) Vol 4 No 2 (2024): UN PENMAS Vol 4 No 2
Publisher : LPPM Universitas Narotama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29138/un-penmas.v4i2.2916

Abstract

Krisis air pasca gempa 2018 masih berdampak pada masyarakat Lombok, terutama Lombok Utara. Untuk mencegah kekurangan air bersih di masa depan, khususnya saat musim kemarau, sistem pemanenan air hujan diusulkan. Inisiatif ini bertujuan mengatasi ketersediaan air bersih di Desa Sama Guna. Metodenya melibatkan survei, dengan data curah hujan dari 1994-2020 menunjukkan rata-rata 249,7 mm per tahun. Dengan luas atap 118,8 m², potensi penampungan air hujan mencapai 28,4 m³ per tahun. Sistem penyimpanan dirancang dengan bak persegi (4m x 4m x 2m) yang dapat menampung 28.423 liter per tahun. Untuk memastikan kualitas air, digunakan filter persegi (1m x 1m x 1,3m) dengan lapisan kerikil, arang aktif, zeolit, dan pasir silika. Sistem ini diharapkan dapat menyediakan pasokan air yang stabil dan berkualitas bagi warga Desa Sama Guna.
Pemetaan Spasial Kekeringan Menggunakan Metode Standardized Precipitation Index (SPI) di DAS Blega, Kabupaten Bangkalan: Pemetaan Spasial Kekeringan Donny Harisuseno; Muhammad Amar Sajali; Winnie Meilinda Dewi
Jurnal Teknika Vol 16 No 2 (2024): SEPTEMBER
Publisher : Universitas Islam Lamongan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30736/jt.v16i2.1241

Abstract

Bencana kekeringan menjadi perhatian bagi Badan Penanggulangan Bencana Daerah (BPBD) Kabupaten Bangkalan beberapa tahun terakhir. Studi ini bertujuan untuk menganalisis indeks kekeringan dan mengembangkan peta spasial kekeringan di Kabupaten Bangkalan khususnya di DAS Blega. Penelitian ini menggunakan konsep kekeringan meteorologis untuk menganalisa karakteristik kekeringan di lokasi penelitian. Data yang digunakan adalah data curah hujan bulanan, data curah hujan satelit, dan peta DAS Blega. Indeks kekeringan dianalisis menggunakan metode Standardised Precipitation Index (SPI). Peta spasial kekeringan diperoleh menggunakan metode Inverse Distance Weight (IDW) pada aplikasi ArcGIS 10.8. Hasil studi menunjukkan intensitas kekeringan terparah terjadi selama tujuh bulan (bulan Mei hingga November). Pola hubungan antara indeks kekeringan bulanan dengan tingkat kekeringan rentang 1992 - 2021 menunjukkan tingkat kekeringan "Amat Sangat Kering" terjadi secara berkala setiap empat tahun. Hasil perbandingan antara kejadian tahun kering dari hasil analisis metode SPI dan kejadian tahun EL Nino yang dikeluarkan BMKG menunjukkan terdapat kesesuaian antara kejadian tahun kering yang terjadi. Analisis kesesuaian menunjukkan persentase sebesar 75,97%, menunjukkan adanya kesamaan yang relatif baik antara kejadian kekeringan historis di daerah penelitian dengan kekeringan yang berasal dari metode SPI. Hasil studi memverifikasi bahwa metode SPI layak digunakan untuk menggambarkan karakteristik kekeringan di lokasi studi.
Reproduction and Characterization of Sedimentation Phenomena in Tanjung Perak Port through Numerical Simulation Using Delft3D Camila, Adristi Nur; Murakami, Keisuke; Sajali, M. Amar; Haribowo , Riyanto
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.2025.016.01.7

Abstract

Tanjung Perak Port in Surabaya, one of the biggest ports in Indonesia, faces significant sedimentation problems that can affect operational capacity. This research aims to investigate these sedimentation problems using a 3-dimensional numerical model with Delft3D software, analyzing wave, tidal, and topographic changes to recommend effective sediment management. This research focuses on Tanjung Perak Harbor in Surabaya, Indonesia, using Delft3D numerical modeling to analyze sedimentation phenomena and examine topography, tidal, wave, and sediment characteristics, and river inflow data from the Mas River and Lamong Rivers. This research divides the depth into three layers with the smallest grid size dx= 10 m and dy= 10 m. Sediment diameter data, used in this simulation with an average grain size (D50) of 0.28 mm from inside the port, will be simulated simultaneously with tidal and wave motion. This simulation is for 1 month using a scale factor of 12, making the simulation equal to 1 year. From the simulation results, the effect of wave movement is relatively small. At 3 locations in the Tanjung Perak port area, sedimentation with an average change in depth of 0.8 m/year was caused by sedimentation carried from the Lamon River and Mas River. Therefore, dredging recommendations are conducted to reduce sedimentation in the port area by constructing a jetty at the mouth of the Mas River. The results showed that the average depth increase changed to 0.4 m/year after the jetty was built, but some erosion occurred around the jetty, 0.0056 m/year.
Assessing Liquefaction Risk at Timika Steam Power Plant through Cyclic Stress Ratio Analysis Using Borehole Data Marsudi, Suwanto; Lufira, Rahmah Dara; Sajali, Muhammad Amar; Putra, Sebrian Bessely Mirdeklis; Asmaranto, Runi; Prasetyorini, Linda
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.2025.016.01.9

Abstract

Energy infrastructure, particularly power plants, is critical in national and regional development. This study aims to determine the optimal placement and design of the Timika PLTU (power plant) by conducting comprehensive soil and rock investigations, focusing on seismic risks. The primary objective is to assess the geotechnical conditions of the site to ensure structural stability and safety in this high-seismicity zone. Key methods used in this study include borehole drilling, soil classification tests, and seismic hazard analysis. The soil at the site is classified as medium (SD) with Vs values ranging from 175 to 350 m/sec, and the seismic zone’s coefficient (Z) is 0.6, indicating significant seismic potential. The results reveal that specific design measures, such as sheet piles and retaining walls, are necessary to mitigate the risks of lateral collapse in areas with significant soil excavation. Furthermore, seismic design considerations were incorporated to improve the plant’s earthquake resistance. The findings of this study provide essential geotechnical data and practical recommendations, ensuring the safe and resilient construction of the PLTU Timika in a region prone to seismic activity while guiding future infrastructure projects in similar high-risk zones.
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
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.