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Lily M. Limantara
Department of Water Resources Engineering, Faculty of Engineering, University of Brawijaya, Malang,
Civil Engineering, Building, Construction & Architecture

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Journal : Civil Engineering Journal

 1 
Optimization of Integrated Reservoir for Supporting the Raw Water Supply Shafur Bachtiar; Lily M. Limantara; Moh. Sholichin; Widandi Soetopo
Civil Engineering Journal Vol 9, No 4 (2023): April
Publisher : Salehan Institute of Higher Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/CEJ-2023-09-04-07

Abstract

This research intends to analyze the optimal operation pattern for fulfilling the raw water demand, and it is conducted in the integrated cascade reservoir of Duriangkang-Muka Kuning, Batam City, Indonesia. However, Batam City is the economic center of the Riau Islands and absolutely needs enough raw water supplies to support its development. The need for raw water in Batam City is predicted to reach about 6,630.29 l/s in 2025. Due to the population growth that is estimated to reach about 1.8 million people in 2025 and the plan of Batam City development as an industry and tourism center, Batam City is faced with the condition that reservoir management becomes a very important thing for supporting the continuity of water supply. The methodology consists of collecting the supporting data, such as inflow, reservoir capacity curve, and data on water needs; then building the optimization model by determining the objective function and constraints of the integrated reservoir; and carrying out the optimization model by using linear programming and simulation models for the integrated reservoir operation. The result presents optimal reservoir operation of the integrated Duriangkang-Muka Kuning reservoirs. The reservoir operation consists of the boundary curve of upper and lower normal operation, the outflow for fulfilling the water need, and the rule of supply pumping from Duriangkang reservoir to Muka Kuning reservoir. It is hoped that the result can be used as a reference in operating the two reservoirs to fulfill the water needs of the Batam City population. Doi: 10.28991/CEJ-2023-09-04-07 Full Text: PDF
The Reliability of W-flow Run-off-Rainfall Model in Predicting Rainfall to the Discharge D. Riyadi Tama; Lily M. Limantara; E. Suhartanto; Y. Padma Devia
Civil Engineering Journal Vol 9, No 7 (2023): July
Publisher : Salehan Institute of Higher Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/CEJ-2023-09-07-015

Abstract

This research intends to predict the discharge (run-off) from rainfall for which the model is built using W-flow. The research location is in the Gajah Mungkur reservoir (Wonogiri) in Indonesia. The estimation of reservoir inflow has an important role, mainly in the scheme of reservoir operation and management. However, the heterogeneity of complex spatial and temporal patterns of rainfall and also the physiographic context of a watershed cause the development of a model of real-time run-off and rainfall that can accurately predict the reservoir inflow to become a challenge in the development of water resources. In relation to the analysis and prediction of rainfall, the constraint and problem that is still often faced is the minimal availability of observed rainfall data spatially as well as temporally; the time series of rainfall data is not long and complete enough; and the number of rainfall stations is less evenly distributed. The methodology consists of carrying out the literature study, collecting as much rainfall data as possible to build a W flow model, then carrying out the model calibration and analyzing the prediction of real-time reservoir inflow for operation. The result shows that the dependable discharge of the Wonogiri watershed shows that there are two peak discharges, which happened on February II (the second half of February) and December II (the second half of December). However, the discharge is decreasing in July and reaching its lowest level in October II (the second half of October). Doi: 10.28991/CEJ-2023-09-07-015 Full Text: PDF
Performance Index Model of Small Dam in Semi-Arid Area Priseila Pentewati; Pitojo Tri Juwono; Lily M. Limantara; Moh. Sholichin
Civil Engineering Journal Vol 10, No 8 (2024): August
Publisher : Salehan Institute of Higher Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/CEJ-2024-010-08-014

Abstract

The aim of this research is to build a model of small dam performance index in semi-arid areas by considering 4 aspects that are physical, institution, service, and operation and maintenance aspects. Research locations are 85 small dams that spread to 8 islands and 5 SWS in 22 regencies in Nusa Tenggara Timur Province. The data consists of secondary data from BWS NT II and primary data from survey results and survey blank filling to 85 locations of small dams in the field. The methodology consists of Structural Equation Modeling Partial Least Squares (SEM-PLS) and Generalized Reduced Gradient (GRG). The analysis result shows that physical; institution; service; and operation and maintenance aspects are significantly influenced by the performance index of small dams. The structural analysis expresses that physical; institution; service; and operation and maintenance aspects are positively and significantly influenced by the performance index of small dams. The novelty in this research is the performance index of small dams that is successfully developed and tested by using field data and GRG. In addition, this model gives accurate value to the performance index of small dams in semi-arid areas in Nusa Tenggara Timur Province. However, the performance index model of small dams in semi-arid areas is formulated as follows: IK physical = 0.093 KT + 0.128 KTE + 0.159 KBS + 0.087 BPL + 0.155 JD + 0.145 KBLY + 0.233 KBP; IK institution = 0.58 DOP + 0.42 RA; IK service = 0.56 KBL + 0.09 AM + 0.12 VG + 0.09 WK + 0.14 PA; IKOM = 0.360 PKOP + 0.515 PPE + 0.125 KSOP. The general formulation for performance index of small dams is I IDK-Pentewati = 0.15 IK physical + 0.12 IK institution + 0.20 IK service + 0.53 IK OM. Doi: 10.28991/CEJ-2024-010-08-014 Full Text: PDF
Modelling of Flood Hazard Early Warning Group Decision Support System Arief A. Soebroto; Lily M. Limantara; Ery Suhartanto; Moh. Sholichin
Civil Engineering Journal Vol 10, No 2 (2024): February
Publisher : Salehan Institute of Higher Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/CEJ-2024-010-02-018

Abstract

Early warning of flood hazards needs to be carried out comprehensively to avoid a higher risk of disaster. Every decision on early warning of a flood hazard is carried out in part by one party, namely the government or water resource managers. This research aims to provide a collaborative decision-making model for early warning of flood hazards through a Group Decision Support System Model (GDSS), especially in Indonesia. The novelty of this research is that the GDSS model involves more than one decision-maker and multi-criteria decision-making for early warning of flood hazards in the downstream Kali Sadar River, Mojokerto Regency, East Java Province, Indonesia. The GDSS model was developed using a hybrid method, namely the Analytical Network Process (ANP) and VlseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR). There was more than one decision result; voting was carried out using the BORDA method to produce the decision. The test results of GDSS were obtained using a Spearman rank correlation coefficient of 0.8425 and matrix confusion, an accuracy value of 86.7%, a precision value of 86.7%, a recall value of 86.7%, and an f-measure of 86.7%. Based on the test results, good results were obtained from the GDSS model. Doi: 10.28991/CEJ-2024-010-02-018 Full Text: PDF
Rice Self-Sufficiency and Optimization of Irrigation by Using System Dynamic . Asmelita; Lily M. Limantara; M. Bisri; Widandi Soetopo; Indra Farni
Civil Engineering Journal Vol 10, No 2 (2024): February
Publisher : Salehan Institute of Higher Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/CEJ-2024-010-02-010

Abstract

This research intends to optimize the results of irrigation canals with the conversion of function to fisheries without reducing rice self-sufficiency regionally. However, irrigation is an infrastructure asset that needs to be used optimally. It is due to the water; water sources and irrigation infrastructure can provide more benefits to rice fields, which are to function as fisheries in the study location (West Sumatra Province). The aim of this research is to propose the optimal combinations of irrigated land planted with rice and those in the form of fisheries. The methodology uses System Dynamics due to the official BPS data. There are many tools that are used in this system dynamics approach, such as causal diagrams, archetype systems, diagrams of stock and flow, and the behavior of over-time graphs. The DSS generator for simulating the program in this study uses Stella, which is a new paradigm in the water resources system approach. The result shows that the potential increase in income that could be obtained by converting the rice fields to tilapia fisheries is about 126 million Rupiah per year per hectare. West Sumatra Province, as a national rice granary, has many districts that are more self-sufficient in rice, so it can be considered to utilize irrigation to become the irrigation for fisheries. The potential of rice fields that can be converted into fisheries while maintaining self-sufficiency in rice at the district/city level of West Sumatra Province is more than 61 thousand hectares, and it generates an increase in income of about 7.7 trillion per year. Doi: 10.28991/CEJ-2024-010-02-010 Full Text: PDF
Performance Index Model of Raw Water Infrastructure Sri U. Sudiarti; Ussy Andawayanti; Lily M. Limantara; Hari Siswoyo
Civil Engineering Journal Vol 10, No 6 (2024): June
Publisher : Salehan Institute of Higher Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/CEJ-2024-010-06-014

Abstract

This research intends to build a performance index model of raw water infrastructure mathematically by considering technical, non-technical, and environmental aspects. The research location is in Lombok and the Sumbawa Islands. Data is collected by field surveys and questionnaires that are distributed to 160 respondents related to raw water infrastructure in 21 locations. The methodology consists of Partial Least Squares (PLS) and Generalized Reduced Gradient (GRG). The results show that technical, non-technical, and environmental aspects have a significant influence on the performance index of raw water infrastructure. The structural analysis shows that the technical, non-technical, and environmental variables have a positive and significant influence on the performance index. The performance index of raw water infrastructure is successful enough to be developed and tested by using field data and GRG. The evaluation result shows that the model gives an accurate estimation of raw water infrastructure performance in Nusa Tenggara Barat province. The performance index model for raw water infrastructure is as follows: 0.521 IKTK + 0.305 IKNT + 0.174 IK Liwith the sum of square residual (SSR) is 83.21, the root mean square error (RMSE) is 0.44, the mean square error (MSE) is 3.97, and the accuracy level is 95.25%. This research provides the development of an evaluation method for raw water infrastructure performance and a valuable outlook for policymakers in managing and maintaining raw water infrastructure to support sustainable water resources in the future. Considering some aspects of this, it is hoped the efforts to increase the quality of raw water infrastructure can be more directed and effective, contributing to increasing society's prosperity and a sustainable environment in the region. Doi: 10.28991/CEJ-2024-010-06-014 Full Text: PDF
Co-Authors . Asmelita Arief A. Soebroto D. Riyadi Tama E. Suhartanto Ery Suhartanto Hari Siswoyo Indra Farni M. Bisri Moh. Sholichin Pitojo Tri Juwono Priseila Pentewati Shafur Bachtiar Sri U. Sudiarti Ussy Andawayanti Widandi Soetopo Y. Padma Devia