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All Journal Media Teknik Sipil Indonesian Journal of Geography Jurnal Mahasiswa Jurusan Teknik Pengairan Jurnal Teknik Pengairan: Journal of Water Resources Engineering Civil Engineering Journal Civil and Environmental Science Journal (CIVENSE) Agro Bali: Agricultural Journal Jurnal Teknologi dan Rekayasa Sumber Daya Air
Widandi Soetopo
Jurusan Teknik Pengairan Fakultas Teknik Universitas Brawijaya
Agriculture, Biological Sciences & Forestry Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Earth & Planetary Sciences Engineering Environmental Science

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ANALISA PERBANDINGAN METODE NRECA DAN THORNTHWAITE-MATHER DALAM TRANSFORMASI HUJAN MENJADI DEBIT PADA SUB DAS KONTO HULU KABUPATEN MALANG Wijayanto, Andy; Harisuseno, Donny; Soetopo, Widandi
Jurnal Mahasiswa Jurusan Teknik Pengairan Vol 3, No 1 (2019)
Publisher : Jurusan Teknik Pengairan, Fakultas Teknik, Universitas Brawijaya

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Abstract

ABSTRAK: Neraca air merupakan bagian dari analisa hidrologi yang diperlukan untuk mengetahui ketersediaan air pada suatu DAS. Ketersediaan air yang cukup sangat berpengaruh pada kehidupan masyarakatnya, terutama pada sektor pertanian. Studi ini bertujuan untuk memprediksi debit sungai yang terletak di Sub DAS Konto Hulu, Kabupaten Malang. Metode yang digunakan dalam studi ini adalah metode NRECA dan Thornthwaite-Mather. Hasil dari kedua metode tersebut akan dibandingkan dengan debit observasi untuk mengetahui tingkat kesesuaian metode terhadap daerah studi. Berdasarkan uji kesesuaian metode dari kedua metode yang digunakan, metode Thornthwaite-Mather memiliki hasil yang lebih baik dari metode NRECA. Dari uji kesesuaian metode didapatkan nilai Nash Sutcliffe Efficiency (NSE) = 0,624, Koefisien Korelasi (R) = 0,931, Root Mean Squared Error (RMSE) = 2,647, dan Kesalahan Relatif (KR) = 10,8%. Perhitungan dengan metode Thornthwaite-Mather menghasilkan debit maksimum = 26,107 m3/dt, minimum = 5,511 m3/dt, dan rerata = 11,173 m3/dt.. Kata Kunci: NRECA, Thornthwaite-Mather, Prediksi Debit, Kesesuian Metode.   ABSTRACT: Water balance is part of the hydrological analysis to determine the availability of water in a watershed. The availability of sufficient water is very influential on people's lives, especially in the agricultural sector. This study aims to predict river discharges located in the Konto Hulu Sub Basin, Malang Regency. The method used in this study is the NRECA and Thornthwaite-Mather methods. The results of the two methods will be compared with observational discharge to determine the suitability of the method to the study area. Based on the suitability test method of the two methods used, the Thornthwaite-Mather method has better results than the NRECA method. Based on the suitability test method, the Nash Sutcliffe Efficiency (NSE) value = 0.624, the Correlation Coefficient (R) = 0.931, the Root Mean Squared Error (RMSE) = 2.647, and the Relative Error (KR) = 10.8%. Calculations using the Thornthwaite-Mather method produce a maximum of discharge =  26.107 m3/sec, a minimum = 5.511 m3/sec, and average = 11,173 m3/sec. Keywords: NRECA, Thornthwaite-Mather, Discharge Prediction, Method Suitability.
ANALISA KESESUAIAN KURVA INTENSITAS DURASI FREKUENSI MENGGUNAKAN METODE SHERMAN, ISHIGURO DAN HASPER DI ARBORETUM SUMBER BRANTAS Aysya, Febrina Lifatul; Harisuseno, Donny; Soetopo, Widandi
Jurnal Mahasiswa Jurusan Teknik Pengairan Vol 3, No 1 (2019)
Publisher : Jurusan Teknik Pengairan, Fakultas Teknik, Universitas Brawijaya

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Pada tahun 2000-an di daerah Arboretum Sumber Brantas (ASB) pernah mengalami banjir dan banjir yang paling besar terjadi pada tahun 2004. Hal tersebut dikarenakan intensitas hujan yang terjadi cukup tinggi. Karena permasalahan tersebut maka dilakukan penelitian tentang intensitas hujan. Penelitian ini bertujuan untuk mendapatkan metode yang paling sesuai di wilayah ASB dengan membandingkan intensitas hujan dari analisa distribusi frekuensi (Log Pearson III dan Gummbel) dengan berbagai metode intesitas hujan (Sherman Ishiguro dan Hasper). Output dari metode metode tersebut adalah berupa kurva Intensitas Durasi Frekuensi (IDF). Hasil yang paling baik adalah metode Sherman karena memiliki penyimpangan yang paling kecil diantara metode lainnya. Dengan nilai Kesalahan Relatif rerata terkecil sebesar 7,06 %, nilai rerata koefisien NSE sebesar 0,96 dan nilai deviasi rerata terkecil sebesar 2,66. Setelah itu dilakukan validasi antara intensitas hujan berdasarkan peluang kala ulang dengan metode terpilih (Sherman). Dari hasil validasi metode Sherman memiliki penyimpangan yang kecil, hal ini menunjukkan bahwa metode Sherman memiliki kecocokan untuk memprediksi intensitas hujan di ASB. The flooding started to occur in 2000s at the Arboretum Sumber Brantas (ASB) area and the highest flood occured in 2004 due to high rainfall intensity. That being said, this research will focus on the rainfall intensity. The purpose of this research is to obtain the appropriate rainfall intensity method by comparing the rainfall intensity from the analyses of frequency distribution (Log Pearson III and Gumbel) with rainfall intensity methods (Sherman, Ishiguro and Hasper) at the ASB area. Output from those methods is Intensity Duration Frequency (IDF) curve. Prior to it’s small deviation between other methods, Sherman is the most suitable one. Sherman method has the smallest average value of Relative Error is 7,06; average value of NSE coefficient is 0,96; and the smallest average value of deviation is 2,66. Subsequently, validation was performed between rainfall intensity based on probability return period with selected method (Sherman). Sherman method has shown that it has the suitability to predict the rainfall intensity at the ASB area.
TRANSFORMASI DATA HUJAN MENJADI DEBIT MENGGUNAKAN METODE FJ MOCK DAN THORNTHWAITE MATHER DI SUB DAS KALI GUNTING KABUPATEN JOMBANG. Almira, Aufa Hanan; Harisuseno, Donny; Soetopo, Widandi
Jurnal Mahasiswa Jurusan Teknik Pengairan Vol 3, No 2 (2020)
Publisher : Jurusan Teknik Pengairan, Fakultas Teknik, Universitas Brawijaya

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Abstract

Transformasi data hujan menjadi debit adalah mengolah data hujan di lapangan menjadi data debit dengan pemodelan hidrologi. Metode-metode ini digunakan untuk menghitung besarnya nilai debit aliran sungai. Metode yang digunakan dalam studi ini adalah Metode FJ Mock dan Thornthwaite Mather. Hasil dari kedua metode ini akan dibandingkan dengan debit pengamatan AWLR (Automatic Water Level Recorder) Karangwinongan untuk mengetahui tingkat kesesuaian metode pada daerah studi. Berdasarkan uji kesesuaian metode dari kedua metode yang digunakan, metode FJ Mock dipilih menjadi metode yang terbaik untuk Sub DAS Kali Gunting. Berdasarkan uji kesesuaian metode ini dihasilkan Nash Sutcliffe Efficiency (NSE) = 0,42 , Koefisien Korelasi (R) = 0,75 , Root Mean Squared Error (RMSE) = 0,25, dan Kesalahan Relatif (KR) = 0,14 %. Perhitungan dengan metode FJ Mock menghasilkan debit maksimum = 14,31 m3/dt dan minimum = 0,54 m3/dt. The transformation of rainfall data into discharge is to process the rainfall data on the field into a discharge data of hydrological modeling. These methods are used to assess the amount value of river flow discharge. The methods that used in this study are FJ Mock and Thornthwaite Mather methods. The result of these two methods will be compared to the discharge observation AWLR (Automatic Water Level Recorder) Karangwinongan to know the level of conformity of methods in the area of study. Based on the conformity test method of both methods used, the FJ Mock method was chosen to be the best method for Kali Gunting Sub Watershed. Based on the conformity test this method was produced by Nash Sutcliffe Efficiency (NSE) = 0,42, correlation coefficient (R) = 0,75, Root Mean Squared Error (RMSE) = 0,25, and relative error (KR) = 0,14%. Calculations by FJ Mock methods produce a maximum discharge = 14.31 m3/dt and a minimum = 0,54 m3/dt.   
PEMODELAN DEBIT SUNGAI KAHAYAN MENGGUNAKAN JARINGAN SYARAF TIRUAN BERDASARKAN DATA HUJAN DAN EVAPOTRANSPIRASI Dermawan, Very; Soetopo, Widandi; Alpikarigo, Jano
Jurnal Teknik Pengairan Vol 11, No 1 (2020)
Publisher : Jurusan Teknik Pengairan, Fakultas Teknik, Universitas Brawijaya

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Abstract

Discharge is one of the bases in a plan for a water resource management activity. Determination of the discharge value can be done through measurements directly in the field or through analysis. With the analysis of rainfall on river discharge can be an alternative in water structure planning, with the right methods the results of the discharge analysis will approach with real hydrological condition. In this study, the analysis was carried out using the Artificial Neural Network method to find out the results of the modeling of river discharge based on rainfall and evapotranspiration data and to know the comparison between model discharge and real discharge. To discover the compatible between modeling discharge with real discharge, calibration and learning of Networks has been done with 6 until 9 years learning data, and verification of the model discharge by 4 until 1 years from the rest of the calibration data. In network learning, epoch 500 until 2000 are used. The error test are Mean Square Error (MSE), Mean Absolute Error (MAE), Relative Error (Kr), Correlation Coefficient (R), Nash-Sutcliffe Efficiency (NSE). The results of comparison between model discharge using the Artificial Neural Network with real discharge, based on the test results discover that in the distribution of 7 year learning data and 3 year test data with epoch 1000 that compatible with criteria and had the best value, based on result of Nash-Sutcliffe Efficiency (NSE) value, and the Correlation Coefficient (R)
Calibration of surface runoff parameters with the hydrologic tank model using recursive digital filter and master recession curve Suryoputro, Nugroho; Suhardjono, Suhardjono; Soetopo, Widandi; Suhartanto, Ery
Civil and Environmental Science Journal (CIVENSE) Vol 2, No 2 (2019)
Publisher : Fakultas Teknik UB

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.civense.2019.00202.6

Abstract

There are two basic methods to calibrate the hydrological model: (1) the trial and error procedure; (2) the automatic calibration. The problem in the calibration method is the determination of the initial value of the parameters. This poses a problem for beginner model users. This paper presents the calibration results of surface runoff parameters in the hydrological tank model using recursive digital filter method and the master recession curve. The results indicate that the Recursive Digital Filter as a surface runoff separation method can be used for the initial approach to calibrate the tank model parameters
Formulasi Intensitas Hujan dan Kurva Intensitas Durasi Frekuensi (IDF) yang Sesuai pada Wilayah Hulu Kota Batu, Provinsi Jawa Timur Donny Harisuseno; Widandi Soetopo; Febrina Lifatul Arsy
Media Teknik Sipil Vol. 18 No. 2 (2020): Agustus
Publisher : Department of Civil Engineering, Faculty of Engineering, University of Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22219/jmts.v18i2.12625

Abstract

Intensitas hujan merupakan masukan yang sangat penting dalam pekerjaan sumber daya air terutama terkait dengan banjir, erosi, dan tanah longsor. Kejadian banjir bandang yang pernah terjadi di wilayah studi (hulu Kota Batu) merupakan dampak dari masifnya perubahan tutupan lahan dan tingginya intensitas hujan yang terjadi. Kegiatan yang bersifat antisipasi and mitigasi banjir membutuhkan dukungan data hujan yang berkualitas. Studi ini bertujuan untuk mendapatkan rumus empiris yang sesuai untuk memperkirakan intensitas hujan serta kurva Intensitas Durasi Frekuensi (IDF). Metode empiris yang digunakan meliputi Sherman, Ishiguro dan Haspers, sedangkan intensitas hujan rancangan diperoleh dari perhitungan analisa frekuensi dengan berbagai kala ulang. Penentuan metode terpilih dilakukan dengan membandingkan intensitas hujan pengamatan dengan hasil metode empiris berdasarkan nilai koefisien Nash Sutcliffe Efficiency (NSE), kesalahan relatif, dan nilai deviasi yang terjadi. Hasil studi menunjukkan bahwa metode Sherman memiliki kesesuaian yang paling tinggi yang diindikasikan dengan nilai NSE sebesar 0,97, nilai kesalahan relatif kecil 6,59% dan nilai deviasi sebesar 2,56. Untuk mengetahui keandalan metode terpilih, maka dilakukan validasi antara intensitas hujan berdasarkan peluang kala ulang dengan intensitas metode terpilih (Sherman). Hasil validasi menunjukkan metode Sherman memiliki keandalan yang baik dalam memperkirakan intensitas hujan sehingga dapat digunakan untuk mengestimasi intensitas hujan pada wilayah studi.
Water Balance Supporting the Irrigation Water Demand in Java Island, Indonesia Yudha Mediawan; Lily Montarcih; Widandi Soetopoi; Tri Budi Prayogo
Indonesian Journal of Geography Vol 53, No 1 (2021): Indonesian Journal of Geography
Publisher : Faculty of Geography, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/ijg.59102

Abstract

Java is the most populous island with the largest percentage of rice fields in Indonesia. However, rice fields in Java Island often experience water shortages, so an analysis of the potential water availability for irrigation in Java is required. This research aims to analyze water's potential to meet irrigation water needs in each catchment area in Java. In this research, the potential for irrigation water in Java is calculated based on the balance of water balance between water availability and DMI and Irrigation water needs. This research is divided into two parts: (1) analysis of water availability using the WFLOW hydrological simulation; and (2) water demand analysis based on population statistical data. Based on this research, it can be concluded that the water balance between water resources and irrigation water needs in Java is still in the surplus category, even though there are deficits in several catchment areas (WS): in the Kepulauan Seribu, Wiso Gelis, and Welang Rejoso WS. WS with the most water availability is generally located in wide (WS) areas, while several WS with abundant water needs is generally located in WS with the densest population. According to The Central Bureau of Statistics (BPS), the agricultural area in Java has decreased by an average of 20 thousand hectares per year, so that the demand for irrigation water on the island of Java will also decrease. Consequently, the excess water potential in Java Island needs to be allocated to meet the needs of DMI, which are increasing every year. In addition, the results also show that the development of irrigation areas in the future should be focused on large (WS) areas that have the potential for significant amounts of irrigation water. 
Studi Optimasi Air Irigasi Bendungan Semantok Untuk Memaksimalkan Luas Layanan Irigasi Di Kabupaten Nganjuk Putri Dita Larasati; Rini Wahyu Sayekti; Widandi Soetopo
Jurnal Teknologi dan Rekayasa Sumber Daya Air Vol. 1 No. 1 (2021): Jurnal Teknologi dan Rekayasa Sumber Daya Air (JTRESDA)
Publisher : Fakultas Teknik, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.jtresda.2021.001.01.29

Abstract

Nganjuk district is quite dry with low rainfall distribution however people still rely on rainfed irrigation including 6 irrigation areas which are Weir Rejoso, Margomulyo, Ngomben, Jati, Jatirejo, and Janeng. This problem makes the total cropping intensity for three times planting period of every irrigation area didn’t reach 300%. To anticipate this problem, Semantok Dam was built to provide the discharge of irrigation water needs in the amount of 3.23 m3/s for all irrigation areas available in each weir. This study performed optimization with the linear program using solver in Microsoft Excel. The objective function of this model was to optimize the supply provided by the dam and to optimize the potential land area available in the weir irrigation area by the discharge supply and available land area as constraints. In this optimization model, three cropping patterns were planned with a variety of initial planting times for each weir. Based on the optimization result, the selected cropping pattern is the 2nd cropping pattern alternative that starts planting on the 3rd period of December with a total cropping intensity is 300%. Kabupaten nganjuk merupakan daerah kering dengan sistem irigasi teknis namun masih mengandalkan irigasi tadah hujan dimana meliputi 6 daerah irigasi bendung yaitu Bendung Rejoso, Margomulyo, Ngomben, Jati, Jatirejo dan Janeng. Sehingga intensitas tanam total untuk tiga kali masa tanam pada setiap daerah irigasi bendung tidak mencapai 300%. Demi mengantisipasi hal ini maka dibangun Bendungan Semantok guna menyuplai debit kebutuhan irigasi sebesar 3,23 m3/dt untuk keenam daerah irigasi bendung tersebut. Dalam studi ini dilakukan optimasi dengan program linier menggunakan fasilitas solver pada Microsoft Excel. Fungsi tujuan pada model optimasi ini adalah mengoptimalkan debit suplai pada bendungan dan luas potensial yang ada pada 6 daerah irigasi bendung dengan fungsi kendala yaitu debit suplai bendungan dan luas lahan tersedia. Pada model optimasi ini direncanakan tiga alternatif pola tata tanam dengan perbedaan awal tanam untuk masing-masing bendung. Berdasarkan hasil optimasi maka didapat pola tata tanam terpilih adalah alternatif pola tata tanam ke-II dengan awal tanam Bulan Desember periode III dengan intensitas tanam total 300%.
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
Study On The Value Of A Medium Reservoir Storage Capacity (Case Study: Karalloe Reservoir) Widandi Soetopo; Lily Montarcih Limantara; Agustina Pagatiku
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 (276.673 KB) | DOI: 10.21776/ub.pengairan.2019.010.01.6

Abstract

In this article, the value of storage capacity of a medium sized Karalloe reservoir is discussed. Together with an uncontrolled weir, the Karalloe reservoir is supplying an irrigation area. The purpose of the study is to estimate the value of reservoir storage capacity at the various storage states and at different dependable inflow levels. The Linear Programming model is used to optimize the irrigation benefit for various storage capacity and various dependable inflow levels. The results are used to estimate the values of storage capacity at various conditions. The results show that for inflow of the dry year, there is no value for the additional storage capacity. But for inflow of the wetter years, there are significant values for adding more storage capacity
Co-Authors . Asmelita A.A. Ketut Agung Cahyawan W Agung Rahmadi Agustina Pagatiku Almira, Aufa Hanan Alpikarigo, Jano Ambarwati, Arum Nurwidya Amik, Arra Misrokhis Aniek Masrevaniah Aysya, Febrina Lifatul Bambang Pramujo, Bambang Cahaya Santoso Samosir, Cahaya Santoso Dedy Febrianto Nadjamuddin, Dedy Febrianto Dian Chandrasasi Donny Harisuseno donny harisuseno Emma Yuliani Endang Purwati RN Ery Suhartanto Ery Suhartanto Febrina Lifatul Arsy Hari Prasetijo hari siswoyo Harisuseno, Donny Harya Muldianto Indra Farni Jano Alpikarigo Kharistanto, Robertus Tegar Kurnia La Ode Agisaqma Lake, Tania Chrisna Maria Lilly Montarcih Limantara, Lilly Montarcih Lily M. Limantara Lily Montarcih Limantara Lily Montarcih Limantara M. Bisri Maskur Efendi, Maskur Moh. Hilmi Moh. Sholichin Moh. Sholichin Muhammad Ilham Nuf'a, Hilma Pitojo Tri Juwono Putri Dita Larasati Qomarul Huda, Qomarul Rahmah Dara Lufira Rendra Arif Yudiarso Rini Wahyu Sayekti Rini Wahyu Sayekti Rispiningtati Rispiningtati Rony Rudson Rosmala Dewi Shafur Bachtiar Suhardjono Suhardjono Sumiadi, Sumiadi Suryoputro, Nugroho Tri Budi Prayogo Triwidianto, Heru Ussy Andawayanti Very Dermawan Very Dermawan Visi Murpratiwi, Aisyah Wijayanto, Andy Wintyaswan, Gevan Rangga Wiwin Sri Rahayu Yan P. S. Tampani, Yan P. S. Yenson Priyadi Abel, Yenson Priyadi Yudha Mediawan Yulia Indriani Zulkipli Zulkipli