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Management Optimization of Saguling Reservoir with Bellman Dynamic Programming and âDu Couloirâ Iterative Method Marselina, Mariana; Sabar, Arwin; Salami, Indah R S; Marganingrum, Dyah
Forum Geografi Vol 30, No 1 (2016): July 2016
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar

The increasingly growth of population and industry sector have lead to an enhanced demand for electrical energy. One of the electricity providers in the area of Java-Madura Bali (Jamali) is Saguling Reservoir. Saguling Reservoir is one of the three reservoirs that stem the flow of Citarum River in advance of to Jatiluhur and Cirata Reservoir. The average electricity production of Saguling Reservoir was 2,334,318.138 MWh/year in the period of 1986-2014. The water intake of Saguling Reservoir is the upstream Citarum Watershed with an area of 2340.88 km2 which also serves as the irrigation, inland fisheries, recreation, and other activities. An effort to improve the function of Saguling Reservoir in producing electrical energy is by optimizing the reservoir management. The optimization of Saguling Reservoir management in this study refers to Government Regulation No. 37/2010 on Dam/Reservoir Article 44 which states that the system of reservoir management consisting of the operation system in dry years, normal years, and wet years. In this research, the determination of the trajectory guideline in Saguling operation was divided in dry, normal and wet years. Trajectory guideline was conducted based on the electricity price of turbine inflow that various in every month. The determination of the trajectory guideline in various electricity price was done by using Program Dynamic Bellman (PD Bellman) and âDu Couloirâ iterative method which the objective to optimize the gain from electricity production. and âDu Couloirâ iterative method was development of PD Bellman that can calculate the value of gain with a smaller discretization until 0,1 juta m3 effectively where PD Bellman just calculate until 10 million m3. Â Smaller discretization can give maximum benefit from electricity production and the trajectory guideline will be closer to trajectory actual so optimization of Saguling operation will be achieved.

Model Prakiraan Debit Air dalam Rangka Optimalisasi Pengelolaan Waduk Saguling â Kaskade Citarum Marselina, Mariana; Sabar, Arwin; Salami, Indah Rachmatiah Siti; Marganingrum, Dyah
Jurnal Teknik Sipil Vol 24, No 1 (2017)
Publisher : Institut Teknologi Bandung

Abstrak Peningkatan laju pertumbuhan penduduk dan industri mendorong peningkatan kebutuhan air baku dan energi listrik. Salah satu penyedia kebutuhan energi listrik di wilayah Jawa, Madura, Bali adalah Waduk Saguling. Asupan air bagi Waduk Saguling adalah Daerah Aliran Sungai (DAS) Citarum Hulu dengan luas daerah tangkapan sebesar 2.340,88 km2. Waduk Saguling juga merupakan salah satu waduk yang membentuk waduk kaskade Citarum yang terdiri dari Waduk Saguling, Cirata, dan Jatiluhur. Data debit aliran mempunyai peranan penting dalam pengelolaan dan pengembangan sumberdaya air suatu DAS. Dalam penelitian ini dilakukan perbandingan model bangkitan debit inflow Waduk Saguling menggunakan metode korelasi spasial (hujan dan debit) atau metode kontinu serta dengan metode diskrit Markov yang menggunakan prinsip model stokastik Markov 3 kelas. Data debit inflow Waduk Saguling yang digunakan adalah data debit dari tahun 1986-2013. Pada metode korelasi spasial diperoleh kombinasi tipe PPPQt-1 memiliki nilai korelasi sebesar 0,86 sedangkan untuk metode diskrit Markov diperoleh nilai korelasi sebesar 0,804. Dalam rangka optimasi pengelolaan waduk ditemukan bahwa pengelolaan waduk dengan model kontinu memberikan nilai korelasi lebih tinggi antara lintasan pedoman dan lintasan aktual di Waduk Saguling yakni sebesar 0,940 jika dibandingkan dengan metode diskrit Markov yang memberikan korelasi antara lintasan pedoman dan lintasan aktual Waduk Saguling sebesar 0,852.Asbtract Enhancement of population and industry have lead to an enhancement demand for raw water and electrical energy. One of the electricity provider in Java-Madura-Bali is Saguling Reservoir. The water intake of Saguling is upstream Citarum watershed with an area of 2340.88 km2. Saguling is also one of the reservoirs that form Citarum Cascade consisting of Saguling, Cirata and Jatiluhur. Data of reservoir discharge has an important role in the management of water resources. Discharge forecasting approach taken in this research was the spatial correlation method (rainfall and discharge) and discrete Markov method that used the principle of stochastic Markov model of 3 classes. Saguling inflow discharge that used in this research was data from 1986 to 2013. In the spatial correlation method, combination type of PPPQt obtained a correlation value of 0.86 while for discrete Markov method obtained the correlation value of 0.804. In order to optimization of reservoir management, this research found that the reservoir management with continuous model provides a higher correlation values between the actual trajectory and the guidelines trajectory in Saguling which amounted to 0,940 compared to discrete Markov method that provides a correlation between the actual trajectory and the trajectory guidelines Saguling at 0.852.

Management Optimization of Saguling Reservoir with Bellman Dynamic Programming and âDu Couloirâ Iterative Method Marselina, Mariana; Sabar, Arwin; Salami, Indah R S; Marganingrum, Dyah
Forum Geografi Vol 30, No 1 (2016): July 2016
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/forgeo.v30i1.1682

The increasingly growth of population and industry sector have lead to an enhanced demand for electrical energy. One of the electricity providers in the area of Java-Madura Bali (Jamali) is Saguling Reservoir. Saguling Reservoir is one of the three reservoirs that stem the flow of Citarum River in advance of to Jatiluhur and Cirata Reservoir. The average electricity production of Saguling Reservoir was 2,334,318.138 MWh/year in the period of 1986-2014. The water intake of Saguling Reservoir is the upstream Citarum Watershed with an area of 2340.88 km2 which also serves as the irrigation, inland fisheries, recreation, and other activities. An effort to improve the function of Saguling Reservoir in producing electrical energy is by optimizing the reservoir management. The optimization of Saguling Reservoir management in this study refers to Government Regulation No. 37/2010 on Dam/Reservoir Article 44 which states that the system of reservoir management consisting of the operation system in dry years, normal years, and wet years. In this research, the determination of the trajectory guideline in Saguling operation was divided in dry, normal and wet years. Trajectory guideline was conducted based on the electricity price of turbine inflow that various in every month. The determination of the trajectory guideline in various electricity price was done by using Program Dynamic Bellman (PD Bellman) and âDu Couloirâ iterative method which the objective to optimize the gain from electricity production. and âDu Couloirâ iterative method was development of PD Bellman that can calculate the value of gain with a smaller discretization until 0,1 juta m3 effectively where PD Bellman just calculate until 10 million m3. Â Smaller discretization can give maximum benefit from electricity production and the trajectory guideline will be closer to trajectory actual so optimization of Saguling operation will be achieved.

KARAKTERISTIK PARTIKULAT UDARA AMBIEN DAN TERESPIRASI DI SEKITAR KAWASAN INDUSTRI NON FORMAL Prof. Dr. Muhayatun, Santoso; Diah Dwi Lestiani; Mariana Marselina; Rita Mukhtar
Jurnal Sains dan Teknologi Nuklir Indonesia (Indonesian Journal of Nuclear Science and Technology) Vol 17, No 1 (2016): Februari 2016
Publisher : BATAN

Penelitian karakterisasi partikulat udara ambien dan paparan partikulat terespirasi di sekitar kawasan industri aki bekas non formal Parung Panjang dilakukan sebagai tindak lanjut hasil penelitian sebelumnya tentang pencemaran Pb di kawasan Serpong. Pengambilan sampel partikulat udara ambien di Parung Panjang dilakukan menggunakan Gent sampler, sedang partikulat terespirasi di kawasan industri non formal parung panjang dan Sukarasa tangerang (kontrol) dikumpulkan menggunakan personal dust sampler, pada periode 2011 hingga 2012. Penentuan konsentrasi massa partikulat dilakukan secara gravimetri, sedang konsentrasi unsur menggunakan metode berbasis sinar-X. Hasil rerata konsentrasi massa udara ambien PM2,5 dan PM10 Parung Panjang masing-masing sebesar 27,3±13,7 dan 77,5±17,1 µg.m-3, sedang rerata konsentrasi partikulat terespirasi di kawasan industri non formal dan kontrol masing-masing sebesar 260±233 dan 82±38 µg.m-3. Rerata konsentrasi Pb pada PM2.5 dan PM2,5-10 masing-masing mencapai 45 dan 10%. Prosentase konsentrasi maksimum unsur Pb pada partikulat terespirasi kawasan Industri non formal dan kontrol, masing-masing mencapai 12,11% dan 0,27%. Hasil tersebut menunjukkan bahwa konsentrasi Pb pada partikulat tersespirasi di wilayah industri non formal secara signifikan mencapai puluhan kali dibandingkan di wilayah kontrol. Tingginya konsentrasi Pb di Parung panjang merupakan penanda utama yang berasal dari kegiatan pengolahan aki bekas serta merupakan salah satu sumber yang berkontribusi pada pencemaran Pb di wilayah Serpong

Management Optimization of Saguling Reservoir with Bellman Dynamic Programming and “Du Couloir” Iterative Method Mariana Marselina; Arwin Sabar; Indah R S Salami; Dyah Marganingrum
Forum Geografi Vol 30, No 1 (2016): July 2016
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/forgeo.v30i1.1682

The increasingly growth of population and industry sector have lead to an enhanced demand for electrical energy. One of the electricity providers in the area of Java-Madura Bali (Jamali) is Saguling Reservoir. Saguling Reservoir is one of the three reservoirs that stem the flow of Citarum River in advance of to Jatiluhur and Cirata Reservoir. The average electricity production of Saguling Reservoir was 2,334,318.138 MWh/year in the period of 1986-2014. The water intake of Saguling Reservoir is the upstream Citarum Watershed with an area of 2340.88 km2 which also serves as the irrigation, inland fisheries, recreation, and other activities. An effort to improve the function of Saguling Reservoir in producing electrical energy is by optimizing the reservoir management. The optimization of Saguling Reservoir management in this study refers to Government Regulation No. 37/2010 on Dam/Reservoir Article 44 which states that the system of reservoir management consisting of the operation system in dry years, normal years, and wet years. In this research, the determination of the trajectory guideline in Saguling operation was divided in dry, normal and wet years. Trajectory guideline was conducted based on the electricity price of turbine inflow that various in every month. The determination of the trajectory guideline in various electricity price was done by using Program Dynamic Bellman (PD Bellman) and “Du Couloir” iterative method which the objective to optimize the gain from electricity production. and “Du Couloir” iterative method was development of PD Bellman that can calculate the value of gain with a smaller discretization until 0,1 juta m3 effectively where PD Bellman just calculate until 10 million m3. Smaller discretization can give maximum benefit from electricity production and the trajectory guideline will be closer to trajectory actual so optimization of Saguling operation will be achieved.

Model Prakiraan Debit Air dalam Rangka Optimalisasi Pengelolaan Waduk Saguling – Kaskade Citarum Mariana Marselina; Arwin Sabar; Indah Rachmatiah Siti Salami; Dyah Marganingrum
Jurnal Teknik Sipil Vol 24 No 1 (2017)
Publisher : Institut Teknologi Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5614/jts.2017.24.1.12

Abstrak Peningkatan laju pertumbuhan penduduk dan industri mendorong peningkatan kebutuhan air baku dan energi listrik. Salah satu penyedia kebutuhan energi listrik di wilayah Jawa, Madura, Bali adalah Waduk Saguling. Asupan air bagi Waduk Saguling adalah Daerah Aliran Sungai (DAS) Citarum Hulu dengan luas daerah tangkapan sebesar 2.340,88 km2. Waduk Saguling juga merupakan salah satu waduk yang membentuk waduk kaskade Citarum yang terdiri dari Waduk Saguling, Cirata, dan Jatiluhur. Data debit aliran mempunyai peranan penting dalam pengelolaan dan pengembangan sumberdaya air suatu DAS. Dalam penelitian ini dilakukan perbandingan model bangkitan debit inflow Waduk Saguling menggunakan metode korelasi spasial (hujan dan debit) atau metode kontinu serta dengan metode diskrit Markov yang menggunakan prinsip model stokastik Markov 3 kelas. Data debit inflow Waduk Saguling yang digunakan adalah data debit dari tahun 1986-2013. Pada metode korelasi spasial diperoleh kombinasi tipe PPPQt-1 memiliki nilai korelasi sebesar 0,86 sedangkan untuk metode diskrit Markov diperoleh nilai korelasi sebesar 0,804. Dalam rangka optimasi pengelolaan waduk ditemukan bahwa pengelolaan waduk dengan model kontinu memberikan nilai korelasi lebih tinggi antara lintasan pedoman dan lintasan aktual di Waduk Saguling yakni sebesar 0,940 jika dibandingkan dengan metode diskrit Markov yang memberikan korelasi antara lintasan pedoman dan lintasan aktual Waduk Saguling sebesar 0,852.Asbtract Enhancement of population and industry have lead to an enhancement demand for raw water and electrical energy. One of the electricity provider in Java-Madura-Bali is Saguling Reservoir. The water intake of Saguling is upstream Citarum watershed with an area of 2340.88 km2. Saguling is also one of the reservoirs that form Citarum Cascade consisting of Saguling, Cirata and Jatiluhur. Data of reservoir discharge has an important role in the management of water resources. Discharge forecasting approach taken in this research was the spatial correlation method (rainfall and discharge) and discrete Markov method that used the principle of stochastic Markov model of 3 classes. Saguling inflow discharge that used in this research was data from 1986 to 2013. In the spatial correlation method, combination type of PPPQt obtained a correlation value of 0.86 while for discrete Markov method obtained the correlation value of 0.804. In order to optimization of reservoir management, this research found that the reservoir management with continuous model provides a higher correlation values between the actual trajectory and the guidelines trajectory in Saguling which amounted to 0,940 compared to discrete Markov method that provides a correlation between the actual trajectory and the trajectory guidelines Saguling at 0.852.

Model Prakiraan Debit Air Dalam Rangka Optimalisasi Pengelolaan Waduk Saguling – Kaskade Citarum Mariana Marselina; Arwin Sabar
Purifikasi Vol 17 No 1 (2017): Jurnal Purifikasi
Publisher : Department of Environmental Engineering-Faculty of Civil, Environmental and Geo Engineering. Institut Teknologi Sepuluh Nopember, Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j25983806.v17.i1.47

Peningkatan laju pertumbuhan penduduk dan industri mendorong peningkatan kebutuhan akan energi listrik. Salah satu penyedia kebutuhan energi listrik di wilayah Jawa, Madura, Bali (Jamali) adalah Waduk Saguling. Rata-rata produksi listrik Waduk Saguling dari tahun 1986-2014 adalah 2.334.318,138 MWh/tahun. Asupan air bagi Waduk Saguling adalah Daerah Aliran Sungai (DAS) Citarum Hulu dengan luas 2.340,88 km2. Waduk Saguling juga merupakan salah satu waduk yang membentuk waduk series di kaskade Citarum yang terdiri dari Waduk Saguling, Cirata, dan Jatiluhur. Pemanfaatan Waduk Jatiluhur sebagai waduk multiguna untuk sumber air baku, irigasi, dan PLTA pun masih belum optimal, hal ini ditandai dengan terjadinya kekurangan air di hilir pada musim kering dan air melimpas pada musim hujan. Tujuan optimasi Waduk Saguling pada penelitian ini adalah memaksimalkan penggunaan air sehingga dapat memenuhi kebutuhan bagi pembangkit listrik dan memenuhi kebutuhan air di downstream dengan mempertimbangkan prakiraan debit masa depan. Pendekatan prakiraan debit yang dilakukan dalam pengelolaan waduk adalah dengan metode korelasi spasial (hujan dan debit) atau metode kontinu serta dengan metode diskrit markov yang menggunakan prinsip model stokastik markov 3 kelas. Data debit inflow Waduk Saguling yang digunakan adalah data debit dari tahun 1986-2013. Pada metode korelasi spasial diperoleh kombinasi tipe PPPQt-1memiliki nilai korelasi sebesar 0,86 sedangkan untuk metode diskrit markov diperoleh nilai korelasi sebesar 0,804.

Analysis of Rainwater Harvesting (RWH) Capacity in Leuwigajah Urban-Village, South Cimahi Mariana Marselina; Karina Indah Choirunnisa; Ery Nuralamsyah; Siti Ai Nurhayati
Jurnal Presipitasi : Media Komunikasi dan Pengembangan Teknik Lingkungan Vol 19, No 1 (2022): March 2022
Publisher : Universitas Diponegoro

Leuwigajah Urban-Village is an area belonging to Citarum Watershed. Thus, it has a high potential to experience floods during the rainy season. Meanwhile, the area often experiences drought during the dry season due to high surface runoff and low infiltration. This paper discusses the capacity of RWH needed in N.A. of R.W. 19. It discusses hydrological conditions of the Cimahi watershed by presenting an analysis of rainfall data, land use data, and extreme discharge data, both maximum and minimum extreme discharges. Therefore, the Citarum Harum Community Service team decided to build Rainwater Harvesting (RWH) as a water supply source during the dry season. The RWH was built based on people's water needs 10 years later, from 2022-to 2032. Based on the calculations explained in the Rainwater Storage Module book issued by the Ministry of Public Works and Housing, the volume of RWH needed is 125 m3. However, due to limited land, it was decided to build an RWH with dimensions of 2 m x 2 m x 2 m which can accommodate 8 m3 of water. The water in this RWH can fulfil 6.4% of daily water needs, so it is recommended to be used for emergency purposes or secondary purposes such as agriculture and plantations.

Management Optimization of Cipanunjang-Cileunca Reservoir in Bandung Regency Using Discrete Markov Methods Mariana Marselina; Arwin Sabar; Iin Pratama Sari
INDONESIAN JOURNAL OF URBAN AND ENVIRONMENTAL TECHNOLOGY Volume 2, Number 1, October 2018
Publisher : Universitas Trisakti

This research discusses about intake Cikalong as water resource infrastructure supplying water for PDAM Bandung City and PDAM Bandung Regency that depend on the operational of Cipanunjang Dam-Cileunca Dam, Plengan Hydropower, Lamajan Hydropower, Cikalong Hydropower and water from Cisangkuy River. Nowdays, capacity of PDAM Bandung city is 1800 L/sec and capacity of PDAM Bandung Regency is 500 L/sec. However, the amount of water that could be provided by PDAM Bandung City is 1400 L/sec while PDAM Bandung Regency is 200 L/sec. Aim: Optimization on upstream infrastructure is needed to make sure the quantity of water being supplied sufficient. Methodology and Result: There are some methods that can be used to fulfill that aim, on this research use Stochastic Markov Method. The optimization of the reservoir is achieved by the condition of the guideline track and the actual trajectory approaching 1, which means the absence of wasted water through the spillway but through the reservoir utility function for turbine demand, irrigation raw water and raw drinking water in the downstream. The comparison between trajectory and actual trajectory of Cipanunjang Reservoir is 0.861 while for optimization of Cileunca Reservoir is 0.827. Conclusion, significance and impact study: The correlation between the actual (historical) discharge and the Markov estimation discharge on the Cipanunjang-Cileunca Reservoir is closed to 1, so it can be show that the discharge estimation is conceptual because it corresponds to the actual condition (actual discharge).

ENVIRONMENTAL AND HEALTH RISK ASSESSMENT (EHRA) APPROACHES IN THE STRATEGIC ENVIRONMENTAL RISK ASSESSMENT (SEA) : A METAANALYSIS Anindrya Nastiti; Siska Widya D Kusumah; Mariana Marselina; Karina Nursyafira; Astrid Monica; Dharmawan Phan
INDONESIAN JOURNAL OF URBAN AND ENVIRONMENTAL TECHNOLOGY VOLUME 4, NUMBER 1, OCTOBER 2020
Publisher : Universitas Trisakti

Aim: This paper aims to understand how the concept of risk and riskgovernance can be best articulated and integrated into Indonesia’s SEA.Attention regarding health risks emerging from human interactions withthe physical environment has increased in Sustainable Development andPlanning (SDP). Methodology and Results: Strategic EnvironmentAssessment (SEA) is the current context-based methodology addressingenvironmental and health risks of development planning in manycountries. Environmental and health risk assessment (EHRA) is anintegrated part of the SEA. EHRA, as a field of science, has evolved towardsspecific needs in many sectors, e.g. dose-response, quantitative microbialrisk assessment, ecological risk assessment. The main challenge is how todetermine the suitable EHRA approaches and translate the fact-basedEHRA into risk-informed strategies in SDP. In Indonesia, the SEA is mandatory for regional planning documents. However, there is limitedguidelines and application on EHRA in SEA. Through a meta-analysis, wereviewed scholarly articles published from 2009 to 2019 available inGoogle Scholar that report the concepts and implementation of EHRA andSEA in various countries. Conclusion, significance and study impact: Thisstudy has significant implications for the understanding of risk governancein SDP.

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