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Optimization of Implementation Costs at Margatiga Dam with Inundation Area Parameters Case Study: Margatiga Dam Project, Lampung Andrew Agung W; Mahendra Andiek Maulana
Journal of Social Research Vol. 2 No. 7 (2023): Journal of Social Research
Publisher : International Journal Labs

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55324/josr.v2i7.1221

Abstract

Margatiga Dam is located at Lampung Province. The potential of high land acquisition cost may affect the total construction cost of the dam. A simulation needs to be conducted to calculate the volume of the dam reservoir with optimum reliability and benefit value. Calculation of the dam reservoir uses the storage capacity curve based on topographic map to derive the size area and reservoir volume on each elevation, a simulation is done afterwards to obtain the exact elevation of the optimum volume of reservoir. Simulation is conducted with three elevation alternatives; the spillway crest’s initial elevation of +22m, the raised elevation of +22,5m, and the lowered elevation of +21m. It can be concluded from the evaluation that spillway crest’s elevation with most benefit value is at an elevation of +22m with the reservoir reliability of 99,64%, BCR of 1,63, and the IRR of 13,34% with the total cost of Rp1.929.918.493.283.
Analysis of Modernization Readiness of Irrigation in The Downstream Brantas River Basin Under The Authority of The Central Government Monique Adriana Swandani; Mahendra Andiek Maulana; Yang Ratri Savitri
Civilla : Jurnal Teknik Sipil Universitas Islam Lamongan Vol 9 No 1 (2024): MARCH
Publisher : Program Studi Teknik Sipil, Fakultas Teknik, Universitas Islam Lamongan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30736/cvl.v9i1.1188

Abstract

In carrying out the management of the irrigation system has obstacles are inadequate infrastructure conditions caused, the irrigation infrastructure has exhausted its technical age which causes the decline in the performance function of the irrigation network. Government to farmers has not been carried out intensively. In an effort to overcome these obstacles, in addition to the operation, maintenance and rehabilitation required a renewal thoroughly, both institutional, technical, managerial, and human resources. Modernization irrigation is an effort to realize a participant irrigation management system that is oriented toward fulfilling irrigation service levels in an effective, efficient, and sustainable. Limited time, cost and human resources are obstacles in the implementation of irrigation modernization, so an assessment is needed to measure the level of readiness of an irrigation area in carrying out irrigation modernization activities. This result of analyze the readiness of irrigation modernization show that Mrican Kanan area is ready for irrigation modernization with IKMI value 81,69%. Meanwhile DI. Mrican Kiri, DI. Siman, DI. Menturus, DI, Delta Brantas needs maintenance around 1- 2 years. DI. Mrican Kanan can start from the Peterongan Secondary Channel. SI. Pare Peterongan, SI. Tunggorono, SS. Melik dan SS. Sentul.
Channel Capacity Evaluation Model Using Storm Water Management Model Yang Ratri Savitri; Satria Damarnegara; Mahendra Andiek Maulana; Umboro Lasminto; Novi Andriany Teguh; Nastasia Festy Margini
Civilla : Jurnal Teknik Sipil Universitas Islam Lamongan Vol 9 No 2 (2024): SEPTEMBER
Publisher : Program Studi Teknik Sipil, Fakultas Teknik, Universitas Islam Lamongan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30736/cvl.v9i2.1315

Abstract

Floods commonly occur in big cities with huge population densities. The increasing population number can cause a decrease in open land and green open space areas. It increases the surface runoff and induces inundation due to inadequate channel capacity. Therefore, a better design is required to minimize the inundation depth and area. This research aims to evaluate the drainage capacity of the channel dimension based on the flood discharge obtained from the rational method. The cross-section capacity was evaluated using the Storm Water Management Model by considering two types of rainfall distribution. The simulation result shows that the rainfall distribution influences the channel capacity. The flood discharge based on the Sri Harto distribution has a lower peak discharge than the Tadashi Tanimoto distribution. The result shows the significant effect of rainfall distribution types on the water depth. Therefore, it is necessary to determine the rainfall distribution method that represents the watershed characteristics used to design the drainage system. 
The Relationship between Hydro-Agricultural Drought in the Corong River Basin: A Causal Time Series Regression Model Nur Azizah Affandy; Data Iranata; Nadjadji Anwar; Mahendra Andiek Maulana; Wasis Wardoyo; Dedy Dwi Prastyo; Bangun Muljo Sukojo
Civil Engineering Dimension Vol. 26 No. 2 (2024): SEPTEMBER 2024
Publisher : Institute of Research and Community Outreach - Petra Christian University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.9744/ced.26.2.173-190

Abstract

This research explores the relationship between hydrological drought and agricultural drought in the Corong River Basin, focusing on the Gondang Reservoir Irrigation Area, Indonesia. By employing a Causal Time Series Regression Model, the study uncovers that agricultural drought twelve months prior has a significant impact on current agricultural drought and is influenced by current hydrological drought. Time series regression analysis reveals that 45.86% of agricultural drought is influenced by hydrological drought, with 54.14% influenced by other factors besides rainfall. Further research is needed to investigate these additional factors. These findings have practical implications, serving as a valuable index for assessing drought severity and planning mitigation actions, especially in the irrigation areas of interest. They emphasize the importance of effective irrigation management, appropriate cropping patterns, and a comprehensive understanding of the complex characteristics of drought in agricultural regions through comprehensive monitoring efforts in agricultural drought mitigation.
Pemodelan Hujan–Debit dan Genangan 2D untuk Analisis Banjir pada DAS Buntung, Kabupaten Sidoarjo Nur Izzah Elsa Nanda; Yang Ratri Savitri; Mahendra Andiek Maulana
AGREGAT Vol 11 No 1 (2026)
Publisher : Universitas Muhammadiyah Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30651/ag.v11i1.31715

Abstract

Flooding is the most frequent natural disaster in Indonesia, accounting for 55.07% of national disasters. Sidoarjo Regency, particularly Waru District, is highly vulnerable to flooding caused by the overflow of the Buntung River. Flood inundation in the area may persist for up to two days with water depths reaching 30–40 cm. Rapid development of residential, industrial, and transportation areas within the Buntung Watershed has reduced infiltration capacity, while high rainfall intensity, tidal fluctuations, and downstream channel constriction further aggravate flooding conditions. Therefore, the development of a flood inundation model is essential to support effective flood mitigation planning.This study aims to analyze flood characteristics and inundation distribution for selected return periods. Hydrological analysis was conducted using annual maximum rainfall data from 2013–2024. Areal rainfall was determined using the Thiessen Polygon method and frequency distribution analysis. Rainfall–runoff modeling was performed using HEC-HMS to estimate flood discharge, while 2D inundation modeling was carried out using HEC-RAS 2D. Sensitivity analyses of mesh size, computation interval, and model parameters were performed prior to calibration to obtain an optimal and computationally efficient configuration.The results show that a 30 m mesh size and a 10-second computation interval provide the optimal simulation configuration. The Manning parameter has the greatest influence on inundation extent and flood depth. Model calibration produced NSE values of 0,724 respectively, indicating good model performance. The simulation results show that the 10-year return period flood inundation is predominantly characterized by water depths of <10 cm, accounting for 26.32% of the inundated area, followed by depths of 10–20 cm (22.58%), 20–30 cm (17.38%), 30–50 cm (22.27%), and >50 cm (11.45%). The inundation with depths greater than 50 cm is predominantly distributed in the downstream area of the Buntung River, which is influenced by tidal conditions.