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PENERAPAN METODE MODIFIKASI ANDERSEN DALAM PENILAIAN RISIKO BENDUNGAN HALIWEN: ANDERSEN MODIFICATION METHOD APPLICATION IN HALIWEN DAM RISK ASSESSMENT Maulana, Muhammad Fuad; Sukamta; Dyah Ari Wulandari
AGREGAT Vol 9 No 1 (2024)
Publisher : Universitas Muhammadiyah Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30651/ag.v9i1.20450

Abstract

Indonesia is a disaster-prone country; therefore, all infrastructure must be risk-analyzed in order to carry out mitigation efforts. One of the infrastructures that holds the potential for high risk of danger is a dam. Dams need to be inspected regarding dam operations, maintenance, and safety, one of which is through regular inspections. The results of the inspection can be used to analyze dam risks. The Haliwen Dam was originally a reservoir whose classification was upgraded to dam due to the enactment of Minister of Public Works Regulation No. 27 of 2015 concerning Dams. The Haliwen Dam needs to be analyzed for its risks as a dam. The method for analyzing the risk of dams can use the modified Andersen method. This method works well for dams with limited information during construction and instrumentation. This research requires a report on the results of field inspections to determine the physical condition of the dam. The end result of this analysis is the dam risk condition in the form of a safety value (Naman). The safety value obtained is 80. Based on the risk assessment of the modified Andersen method, the Haliwen Dam has a safety value above 75 (satisfactory), which means that the dam is in good condition and has a low risk of failure. A satisfactory safety value means that the dam can operate properly at ordinary (normal) and extraordinary load times.
Comparison of Sentinel-1A Ascending and Descending Image Processing Results on the Tukul Dam Using SNAP Software Faiz Mahbubi; Sukamta; Prasetyo, Yudo
Jurnal Geografi : Media Informasi Pengembangan dan Profesi Kegeografian Vol. 22 No. 1 (2025): Volume 22 No 1, June 2025
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/jg.v22i1.16427

Abstract

This study analysed and compared the accuracy of the results of Sentinel 1A satellite image processing in the ascending and descending orbit directions with SNAP software. The research is located at Tukul Dam, Karanggede Village, Arjosari District, Pacitan Regency, East Java Province, with a range of observation data for one year in 2022-2023. Sentinel 1A satellite image processing uses the Differential Interferometry Synthetic Aperture Radar (DInSAR) method. The results of Sentinel 1A image processing were validated using measurement data from 38 dam surface measurement points that had been measured terrestrial. The accuracy calculation uses the Root Mean Square error (RMSe) to measure the vertical movement of coordinates (Z) from the results of Sentinel 1A image processing in the ascending and descending orbit directions with the actual position in the field measured terrestrially. The result is the RMSe value of vertical movement from the Sentinel 1A image processing in the ascending direction is 0.015m. In comparison, the result of Sentinel lA image processing in the descending orbit direction is 0.234m. Based on the calculation results of the RMSe value of vertical movement, the results of Sentinel 1A image processing in the ascending direction are better used for calculating vertical movement at Tukul Dam.
PENERAPAN METODE MODIFIKASI ANDERSEN DALAM PENILAIAN RISIKO BENDUNGAN HALIWEN: ANDERSEN MODIFICATION METHOD APPLICATION IN HALIWEN DAM RISK ASSESSMENT Maulana, Muhammad Fuad; Sukamta; Dyah Ari Wulandari
AGREGAT Vol 9 No 1 (2024)
Publisher : Universitas Muhammadiyah Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30651/ag.v9i1.20450

Abstract

Indonesia is a disaster-prone country; therefore, all infrastructure must be risk-analyzed in order to carry out mitigation efforts. One of the infrastructures that holds the potential for high risk of danger is a dam. Dams need to be inspected regarding dam operations, maintenance, and safety, one of which is through regular inspections. The results of the inspection can be used to analyze dam risks. The Haliwen Dam was originally a reservoir whose classification was upgraded to dam due to the enactment of Minister of Public Works Regulation No. 27 of 2015 concerning Dams. The Haliwen Dam needs to be analyzed for its risks as a dam. The method for analyzing the risk of dams can use the modified Andersen method. This method works well for dams with limited information during construction and instrumentation. This research requires a report on the results of field inspections to determine the physical condition of the dam. The end result of this analysis is the dam risk condition in the form of a safety value (Naman). The safety value obtained is 80. Based on the risk assessment of the modified Andersen method, the Haliwen Dam has a safety value above 75 (satisfactory), which means that the dam is in good condition and has a low risk of failure. A satisfactory safety value means that the dam can operate properly at ordinary (normal) and extraordinary load times.
Integrated of Pore Water Pressure, Hydraulic Gradient and Time Lag for Early Warning System at Sindang Heula Dam Patra, Fadel Muhammad; Suharyanto; Sukamta
UKaRsT Vol. 9 No. 2 (2025): NOVEMBER
Publisher : Kadiri University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30737/ukarst.v9i2.7076

Abstract

Excessive pore water pressure (PWP) is a primary factor contributing to internal erosion and catastrophic failures in embankment dams, accounting for nearly 40% of dam-related incidents worldwide. Despite routine monitoring, current practices remain limited by the absence of integrated analytical frameworks that simultaneously evaluate multiple hydraulic parameters for early warning system. This study aims to design an early warning system based on PWP, hydraulic gradient, and time lag parameters. The research was conducted at Sindang Heula Dam with 1,696 daily observation data (2020–2025) from four upstream and four downstream piezometers. Linear regression analysis was employed to predict PWP at low (86.613 masl), normal (106.613 masl), and maximum (108.613 masl) reservoir water level (RWL) conditions. Hydraulic gradients were derived from upstream–downstream head differentials, while time lags were determined based on the delay between peak reservoir levels and corresponding piezometric responses. The results revealed that upstream piezometers exhibited rapid responses (7–14 days) with strong correlations RWL (R² = 0.71–0.81), while downstream piezometers show delayed responses (35–42 days) with weaker correlation RWL (R² = 0.31–0.44). Hydraulic gradients increased from 0.32 at low to 0.63 at maximum RWL, indicating intensified seepage potential. The proposed integrated framework introduces a three-tier (green–yellow–red) early warning system based on real-time RWL thresholds, thereby improving proactive risk mitigation and strengthening dam safety management.