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All Journal Media Teknik Sipil Jurnal Presipitasi : Media Komunikasi dan Pengembangan Teknik Lingkungan Jurnal Mahasiswa Jurusan Teknik Pengairan Jurnal Teknik Pengairan: Journal of Water Resources Engineering AGRIVITA, Journal of Agricultural Science REKAYASA Proceedings Konferensi Nasional Sistem dan Informatika (KNS&I) Wahana Teknik Sipil: Jurnal Pengembangan Teknik Sipil Jurnal Rekayasa Sipil dan Lingkungan Teras Jurnal Jurnal Penelitian Pendidikan IPA (JPPIPA) Civil Engineering Journal Jurnal Irigasi Civil and Environmental Science Journal (CIVENSE) BUANA SAINS Jurnal Teknik Sumber Daya Air Jurnal Teknologi dan Rekayasa Sumber Daya Air
Ery Suhartanto
Progra Studi Informatika Program Teknologi Informasi Dan Ilmu Komputer Universitas Brawijaya
Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Education Electrical & Electronics Engineering Energy Engineering Environmental Science Materials Science & Nanotechnology Mathematics Physics Transportation

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Optimasi Model Natural Rural Electrical Cooperation Agency Untuk Memprediksi Debit Aliran Bulanan di Sub DAS Lesti Suhartanto, Ery; Andawayanti, Ussy; Dara Lufira, Rahmah; Utami, Rizki Tri
Rekayasa Vol 18, No 3: Desember, 2025
Publisher : Universitas Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/rekayasa.v18i3.31267

Abstract

Climate change and land use change in the Lesti Sub-DAS increase the risk of flooding and land degradation, requiring reliable flow predictions to support water resource management. However, the performance of the NRECA model in predicting monthly flows in this region is still not optimal because calibration-validation strategies and the use of environmental parameters have not been systematically studied. This study optimizes the NRECA model to predict monthly discharge for the period 2011-2020 in the Lesti sub-watershed by calibrating the GWF and PSUB parameters based on rainfall, evapotranspiration, and watershed morphometry data in three data division scenarios (70:30, 80:20, and 90:10 for calibration:validation). The results show that all scenarios produce excellent performance with calibration Nash-Sutcliffe Efficiency (NSE) values between 0.99491-0.99561 and correlation coefficients (R) between 0.99746-0.99785, while validation yielded NSE values between 0.89112-0.97227 and R between 0.49959-0.81520. The best scenario was obtained with a combination of 8 years of calibration and 2 years of validation, with NSE = 0.99561 and R = 0.99785 at the calibration stage, and NSE = 0.97227 and R = 0.81512 at the validation stage, indicating the model's ability to consistently represent monthly discharge variations. The similarity between the model discharge pattern and observations during the base and peak flow periods indicates that GWF optimization specifically improves the representation of base flow response. This study contributes by presenting an optimization-based calibration-validation scheme for the NRECA model, which can be used as a reference in conservation planning and reservoir operation management in watersheds with limited data.
English Language M. Reza Jauhari; Ery Suhartanto
Jurnal Penelitian Pendidikan IPA Vol 11 No 11 (2025): November
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v11i11.12650

Abstract

Reliable precipitation data are essential for hydrological modeling in data-scarce basins. This study evaluates five statistical bias-correction methods—Correction Factor (mean-ratio scaling), Linear Scaling (mean adjustment), Linear Regression, Local Intensity Scaling (LOCI; wet-day threshold and intensity adjustment), and Power Transformation—to improve satellite rainfall for the Gembong Watershed, Pasuruan, East Java, Indonesia. We used daily TRMM (2004–2013) and GPM IMERG (2014–2023) estimates harmonized to a common grid and time step and compared them with gauges using Pearson’s r, Nash–Sutcliffe Efficiency (NSE), and the RMSE-observation standard deviation ratio (RSR). LOCI delivered the best overall balance (NSE = 0.92; r = 0.84; RSR = 0.55), while Linear Scaling achieved a slightly lower NSE but the smallest RSR (NSE = 0.87; RSR = 0.49). Power Transformation showed limited skill (NSE = 0.57; RSR = 0.90) despite high correlation. Ranking prioritized NSE with r and RSR as supporting metrics. The coastal-lowland setting of Pasuruan—with strong convective rainfall and heterogeneous land use—makes accurate bias correction particularly consequential for flood and water-resources analysis. We conclude that LOCI’s adaptive thresholding is well-suited to such regimes and that the comparative framework aids method selection for similar data-scarce watersheds.
Decision-Ready Composite Performance Index for Raw Water Supply Systems: PLS-SEM and Generalized Reduced Gradient Andawayanti, Ussy; Suhartanto, Ery; Lufira, Rahmah Dara; Siswoyo, Hari; Sudiarti, Sri Utami; Pratama, Rizki Ramadhani
Jurnal Presipitasi : Media Komunikasi dan Pengembangan Teknik Lingkungan Vol 23, No 1 (2026): March 2026
Publisher : Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/presipitasi.v23i1.339-350

Abstract

Reliable raw water service depends on asset condition, institutional capability, and watershed context; existing checklists in Indonesia fail to produce a validated, decision-ready performance score.  This study develops a composite performance indicator for raw water infrastructure that incorporates technical (Tk), institutional/non-technical (NT), and environmental (Li) dimensions. Data were collected from 21 schemes in Lombok–Sumbawa, West Nusa Tenggara Province, Indonesia (NTB), with 160 respondents, using field assessments and 1–4 scale questionnaires. Estimated reflective formative partial least squares structural equation modeling was then applied, and GRG calibration was used to minimize deviation from field scores under non-negativity and unit sum constraints for interpretability and portability. All pillars contribute positively and significantly to the composite index, which exhibits high explanatory power (R² = 0.997). The calibrated index is PIRWSS = 0.440 PITk + 0.340 PINT + 0.220 PILi, with SSR ≈ 83.412, RMSE ≈ 0.522, MSE ≈ 5.721, and ≈ 99.70% accuracy relative to field benchmarks. A cross-site analysis shows higher performance in Lombok than in Sumbawa, reflecting hydroclimatic conditions and conveyance configurations. The index provides utilities and regulators with a transparent, reproducible framework for benchmarking and prioritizing operations, maintenance, rehabilitation, and source water protection
Perbandingan Metode Alih Ragam Hujan Menjadi Debit dengan FJ. Mock dan NRECA di Sub DAS Amprong Kabupaten Malang Masruroh, Sahirah; Suhartanto, Ery; Harisuseno, Donny
Jurnal Teknologi dan Rekayasa Sumber Daya Air Vol. 2 No. 2 (2022): 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.2022.002.02.26

Abstract

Abstract: A research on the conversion of rainfall into discharge located in the Amprong sub-watershed aims to compare the results of the modeling discharge FJ. Mock and NRECA on AWLR discharge data carried out with calibration and validation tests to determine the appropriate method for the characteristics of the Amprong sub-watershed. In this study the FJ. Mock method got the best value in the 6-year calibration data group with MAE = 0.180, NSE = 0.995, R = 0.998, and Kr = 0.44%. The best validation was in the 4-year validation data group with MAE = 2.099, NSE = 0.036, R = 0.853, and Kr = 2.89%. For parameters FJ. Mock values obtained i = 0.8, k = 0.01–1.77, m = 30%-50%, SMC = 200 mm, ISM = 50 mm, and Vn-1 = 50 mm. For NRECA the best value at 9-years of calibration was MAE = 2.241, NSE = 0.392, R = 0.627, and Kr = 1.97%. While the assessment obtained MAE = 1.473, NSE = 0.533, R = 0.968, and Kr = 0.42%. For the NRECA parameter, the PSUB value = 0.9 and the GWF value = 0.02-0.22. The most suitable method in this research is FJ. Mock. Abstrak: Penelitian tentang alih ragam hujan menjadi debit yang berlokasi di Sub DAS Amprong ini bertujuan untuk membandingkan hasil debit permodelan FJ. Mock dan NRECA terhadap data debit AWLR yang dilakukan dengan uji kalibrasi dan validasi untuk menentukan metode apa yang sesuai dengan karakteristik Sub DAS Amprong. Pada penelitian ini metode FJ. Mock didapatkan nilai terbaik pada kelompok data 6 tahun kalibrasi dengan nilai MAE = 0,180, NSE = 0,995, R = 0,998, dan Kr = 0,44%. Perhitungan validasi terbaik pada kelompok data 4 tahun validasi dengan nilai MAE = 2,099, NSE = 0,036, R = 0,853, dan Kr = 2,89%. Untuk parameter FJ. Mock didapatkan nilai i = 0,8, k = 0,01–1,77, m = 30%-50%, SMC = 200 mm, ISM = 50 mm, dan Vn-1 = 50 mm. Untuk NRECA nilai terbaik pada 9 tahun kalibrasi dengan nilai MAE = 2,241, NSE = 0,392, R = 0,627, dan Kr = 1,97%. Sedangkan perhitungan validasi didapatkan nilai MAE = 1,473, NSE = 0,533, R = 0,968, dan Kr = 0,42%. Untuk parameter NRECA didapatkan nilai PSUB = 0,9 dan nilai GWF = 0,02-0,22. Metode yang paling sesuai pada penelitian ini yaitu FJ. Mock.
Perbandingan Metode Alih Ragam Hujan Menjadi Debit dengan FJ. Mock dan NRECA di DAS Welang Kabupaten Pasuruan Anindya, Devita Putri; Suhartanto, Ery; Fidari, Jadfan Sidqi
Jurnal Teknologi dan Rekayasa Sumber Daya Air Vol. 2 No. 2 (2022): 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.2022.002.02.24

Abstract

The transformation of rain to discharge is a modeling process that converts rain data into discharge data. Discharge data in a watershed (DAS) is needed to determine the availability of water discharge in a river that will be used to meet the needs of living things around it. However, the availability of river flow data is often incomplete. Therefore, a change in the variety of rain to discharge is needed. This study aims to determine the results of the calculation of the conversion of rainfall into discharge at the Welang watershed location, Pasuruan Regency. The method used is the FJ. Mock and NRECA methods. The calculation results from these two methods will be compared with the AWLR data in the Welang watershed. From the results of the analysis, it was found that the most suitable method for calculating the transfer of rainfall into discharge in the Welang watershed is the FJ. Mock method with an NSE value of 0.629, a PBIAS value of 0.437, and a correlation coefficient (R) of 0.793. The use of the surrounding land influences the discharge condition in a watershed. The relationship between changes in land use and the condition of the annual average discharge of the Welang watershed shows that the discharge value tends to decrease in terms of comparisons in 2006, 2010, 2015, and 2020. Alih ragam hujan menjadi debit merupakan proses permodelan yang mengubah data hujan menjadi data debit. Data debit pada suatu daerah aliran sungai (DAS) diperlukan untuk mengetahui ketersediaan debit air pada suatu sungai yang akan dipergunakan untuk memenuhi kebutuhan makhluk hidup disekitarnya. Tapi pada kenyataannya ketersediaan data debit aliran sungai sering kali tidak lengkap, Maka dari itu dibutuhkan suatu alih ragam hujan menjadi debit. Pada studi ini bertujuan untuk mengetahui hasil perhitungan alih ragam hujan menjadi debit pada lokasi DAS Welang, Kabupaten Pasuruan. Metode yang digunakan adalah metode FJ. Mock dan NRECA. Hasil perhitungan dari kedua metode tersebut nantinya dibandingkan dengan data AWLR pada DAS Welang. Dari hasil analisis didapatkan bahwa metode yang paling sesuai untuk perhitungan alih ragam hujan menjadi debit pada DAS Welang adalah metode FJ. Mock dengan nilai NSE sebesar 0,629, nilai PBIAS sebesar 0,437 dan nilai koefisien korelasi (R) sebesar 0,793. Kondisi debit pada suatu DAS dipengaruhi oleh penggunaan lahan disekitarnya. Hubungan antara perubahan tata guna lahan dengan kondisi debit rerata tahunan DAS Welang menunjukkan nilai debit yang cenderung menurun, ditinjau dari perbandingan tahun 2006, 2010, 2015 dan 2020.
Validasi Data Curah Hujan Satelit dengan Data Stasiun Hujan di DAS Sadar, Kabupaten Mojokerto Maria, Ana; Suhartanto, Ery; Fidari, Jadfan Sidqi
Jurnal Teknologi dan Rekayasa Sumber Daya Air Vol. 2 No. 2 (2022): 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.2022.002.02.30

Abstract

Hydrological analysis is a basis for water building planning. However, the problem in hydrological analysis usually in the availability of data, such as empty/incomplete rain data, inadequate rain stations, rain recording which is still done manually so that it can increase the risk errors. To overcome the problem of the lack of availability of rain data, the alternative that can be used is using satellite rainfall. Satellite rainfall is using remote sensing technology, so it is possible to get wider area coverage, near real time data, fast and free access and economical. This study was include for calibration and validation of uncorrected satellite rainfall data in the Sadar watershed area, Mojokerto Regency and using two types of satellites, TRMM and CHIRPS. The data validation analysis methods used are Nash-Sutcliffe Efficiency (NSE), Correlation Coefficient (R), and Root Mean Squared Error-observations standard deviation ratio (RSR). The results of the validation of the TRMM and CHIRPS satellite rainfall data show that the TRMM satellite has the suitability of the field data by 70,3% while the CHIRPS satellite has the suitability of the field data by 20,7%. So, from the overall analysis can be concluded that TRMM data can be recommended as an alternative hydrology data in the Sadar watershed.Analisis hidrologi adalah suatu dasar perencanaan bangunan air. Namun, permasalahan dalam analisis hidrologi biasanya terletak pada ketersediaan data yang kurang memadai, contoh seperti data hujan yang kosong/tidak lengkap, stasiun hujan yang tidak memadai, pencatatan hujan yang masih dilakukan secara manual sehingga dapat meningkatkan risiko kesalahan pencatatan. Untuk mengatasi permasalahan tentang minimnya ketersediaan data hujan, maka alternatif yang dapat digunakan adalah menggunakan curah hujan satelit. Curah hujan satelit yang menggunakan teknologi penginderaan jauh, sehingga cakupan wilayah luas, data near real time, akses cepat dan gratis serta ekonomis. Studi ini dilakukan untuk kalibrasi dan validasi terhadap curah hujan satelit belum terkoreksi pada wilayah DAS Sadar, Kabupaten Mojokerto dan menggunakan dua jenis satelit yaitu TRMM dan CHIRPS. Metode analisis validasi data yang digunakan berupa Nash-Sutcliffe Efficiency (NSE), Koefisien Korelasi (R), dan Root Mean Squared Error- observations standard deviation ratio (RSR). Berdasarkan hasil perhitungan satelit TRMM menunjukan kesesuaian data dengan data lapangan sebesar 70,3%, sedangkan untuk satelit CHIRPS menunjukan kesesuaian data dengan data lapangan sebesar 20,7%, sehingga dapat disimpulkan TRMM dapat direkomendasikan menjadi data alternatif hidrologi 
Co-Authors Achsan Achsan Adelia Riska Pratama Agus Priombodo Agus Suharyanto Ainur Rofiq Kurniawan alby, lyn Alnino, Nugraha Faiz Amadea, Alzena Andriyani, Setinda Eka Anggara WWS Aniek Masrevaniah Anindya, Devita Putri Ari Murdhianti Arief Andy S, Arief Ariston Samosir Arrokhman, Naufal Achmad Astri, Novianti Sidi Astuti, Ika Wiji Atthahirah, Mutiara Aulia Zahira, Nabila Azhar Adi Darmawan Bagus Wicaksono Bias Angga Permana Briantama, R. Haryo Budi Prasetya Chandy, Poetri Mustika Chintya Ayu Permata Herdita Cipta, Dara Marreta Dewa, Faralisintia Junia Surya Dewita, Monika Dian Chandrasasi Dian Sisinggih Djafar, Azhari Firmansyah Donny Harisuseno Donny Harisuseno Dukhosagt, Aini Nurnabilla Dwi Priyantoro E. Ball, James edy djuwito, edy Emma Yuliani Erfarras, Nadia Nahda Erryanto, Sandi Estefanus Wolok Evi Nur Cahya Fatwa Ramdani, Fatwa Firdaus, Alfian Fitriani, Deshinta Ghaisani, Amalia hari siswoyo Harisuseno, Donny Harjono, Marie Augustin Alvidian Pangestuti Ais Hartawan, Muhammad Bobby Hawari, Hirzi Herdita, Chintya Ayu Permata Herdita, Chintya Ayu Permata Hutagaol, Bachtiar Malthus Ima Sholikhati Imani, Reyhan Satya Itratip Itratip Jadfan Sidqi Fidari Jarwanti, Dieta Putri Jauhari, M. Reza Kafidani, Firyal Sekar Khairunnisa Khairunnisa Kiki Frida Sulistyani Kusumabrata, Luffi Laksni Sedyowati Larasati, Chyntia Prima Lily Montarcih Limantara Limantara, Lily M. Linda Prasetyorini Listya, Amifta Farah Lu'luil Maknun Lucky Dyah Ekorini M Bisri M. Reza Jauhari Maharani, Amanda Putri Maharani, Fiadita Maria, Ana Marta, Silvia Dwi Masruroh, Sahirah Mike Yuanita Moh. Sholichin Mohammad Bisri Muarifah, Aulia Rahmawati Muhammad Ilham Muhammad Rifai nama, arnoldus NISA, ZUHROTUN Nomleni, Aprianto Noor Dinda Febrianingrum Novita, Firda Nurdiyanto Nurdiyanto, Nurdiyanto Nurviana, Syelawati Citra Kartika Nurwijayanti Partarini, Ni Made Candra Prasasti, Dwi Trisna Pratama, Rizki Ramadhani PRIAMBODO, DIDIT Pudyono . Pulasari, Luh Ayu Putri Wedayanti Putri, Angelina Satya Rachmawati, Turniningtyas A. Rahma, Novi Fadhilah Rahmah Dara Lufira Rakhmawati, Dinia Dwi Ramadhania, Salsabila Razianto, Muhamad Zakaria Rendra Arif Yudiarso Rini, Syafadilla Enggar Rispiningtati Rispiningtati Riyanto Haribowo Rizki Ramadhani Rizki Tri Utami Rossy Tamaya, Hana Arum Runi Asmaranto Rushafi Oktaverina, Devy Adlina Sapto Dwi Hari Oktavianto Sekar Padma Lestari Senna Ananggadipa Adhitama Setyaningrum, Anggun Shihab, Muhammad Qurais Siswanti, Yuvika Rega Soebroto, Arief A. Solikin Solikin Sri Wahyuni Suciana, Ajeng Titin Sudiarti, Sri Utami Suhardjono Suhardjono Sukoco, Arfinsyah Hanandha Sulfandi Sulfandi, Sulfandi Sumiadi, Sumiadi Suryoputro, Nugroho Syarief Fathoni, Syarief Tri Kurniawati, Tri Ussy Andawayanti Utami, Rizki Tri Very Dermawan Wahyuni, Sri Widandi Soetopo Yuliana Wardani