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Pemetaan Sebaran Hujan Rancangan menggunakan Metode Interpolasi Kriging di DAS Rejoso Rachmadini Chandrarien, Ahayu; Harisuseno, Donny; Wahyuni, Sri
Jurnal Teknologi dan Rekayasa Sumber Daya Air Vol. 4 No. 1 (2024): 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.2024.004.01.081

Abstract

Mengatasi masalah banjir di DAS Rejoso dibutuhkan penyediaan informasi hidrologi yang cepat dan akurat. Informasi tersebut dapat berupa peta spasial hujan rancangan. Analisis frekuensi dilakukan menggunakan metode Gumbel dan Log Pearson Tipe III dengan kala ulang yang berbeda. Peta dibuat dengan curah hujan rancangan kala ulang 2, 5, 10, 25 50, dan 100 tahun. Curah hujan rancangan dihitung kemudian diolah menggunakan metode interpolasi Kriging untuk membuat peta spasial hujan rancangan. Dilakukan perbandingan dengan peta milik Kementerian PU dimana nilai menunjukkan hasil yang cukup baik dimana nilai KR berkisar antara 0-20%. Perbedaan ini tentunya diakibatkan oleh beberapa faktor seperti luas daerah studi, dan data yang digunakan. Hasil peta juga dievaluasi menggunakan tiga metode yaitu NSE, RSR, dan PBIAS. Hasil studi ini menunjukkan nilai NSE kriging menunjukkan nilai mendekati satu mengindikasikan performa peta yang sangat baik. Sedangkan untuk nilai RSR metode kriging menunjukkan hasil yang memuaskan. Begitu pula dengan nilai bias metode kriging menunjukkan hasil yang baik.
Control Studies Puddle with Planning Channel Cut (Shortcut) on the Channel Irrigation Sengkaling Kiri District Lowokwaru, Malang City Akbar, Bagus; Harisuseno, Donny; Sumiadi , Sumiadi
Asian Journal of Social and Humanities Vol. 3 No. 10 (2025): Asian Journal of Social and Humanities
Publisher : Pelopor Publikasi Akademika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59888/ajosh.v3i10.593

Abstract

The drainage system in Malang City currently relies on the Sengkaling Kiri irrigation network to discharge urban drainage water. However, the existing channel capacity is insufficient to accommodate the increasing water flow during rainfall events due to channel narrowing and sedimentation. This limitation has resulted in frequent waterlogging and localized flooding, particularly around Jl. Soekarno Hatta, Jl. Ahmad Yani, and Jl. Lt. Gen. Sutoyo. This research aims to evaluate the performance of the current drainage system, identify the primary causes of flooding, and propose effective solutions to reduce inundation in these critical areas. The study employs a descriptive and analytical approach, combining field surveys, hydrological data collection, and hydraulic modeling to assess the channel’s capacity and identify critical points of overflow. The findings reveal that the current Sengkaling Kiri irrigation network has experienced significant sedimentation and reduced cross-sectional area, leading to a capacity deficit during peak discharge events. Proposed solutions include channel widening, sediment removal, and the construction of alternative drainage routes, such as diverting part of the flow directly from the Sengkaling Kiri network to the nearest Sungai Brantas. These interventions are expected to significantly reduce waterlogging and improve flood management in the affected areas. The implications of this study highlight the importance of regular maintenance, capacity upgrades, and the integration of urban drainage systems with natural waterways to ensure long-term flood resilience in rapidly developing urban areas.
Flood Prone Area Analysis in the Wonosari Sub Watershed, Bondowoso Regency, East Java Aditama, Dimas Hafiz; Harisuseno, Donny; Hendrawan, Andre Primantyo
Jurnal Penelitian Pendidikan IPA Vol 11 No 5 (2025): May
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v11i5.11130

Abstract

Bondowoso Regency is known as a region highly susceptible to flood disasters. Factors contributing to the increased flood risk include the hydrological and topographical conditions present in the study area. Therefore, it is essential to identify and map areas that are vulnerable to flooding. Flood vulnerability is influenced by several parameters, including rainfall, soil type, land use, slope gradient, surface runoff, and elevation. The data used in this study were obtained from UPT PSDA WS Sampean, covering the period from 2013 to 2023. These parameters were processed using a weighting and scoring method. The assignment of scores and weights was based on the influence of each parameter on flood vulnerability, with each parameter assigned an equal value ranging from 1 to 5. An overlay analysis was then performed to generate a flood vulnerability map. The resulting vulnerability levels were classified into five categories: very low, low, moderate, high, and very high. The results show that the majority of flood-prone areas fall within the "high" vulnerability category, covering approximately 250.18 km² or about 41% of the total area of the Wonosari Sub-watershed. This finding can be validated by historical events in 2023, during which several flash floods were recorded.
Pemanfaatan Data Hujan Satelit GPM untuk Analisis Debit Andalan Menggunakan Metode NRECA di DAS Welang Amadea, Alzena; Suhartanto, Ery; Harisuseno, Donny
Jurnal Teknologi dan Rekayasa Sumber Daya Air Vol. 6 No. 1 (2026): Jurnal Teknologi dan Rekayasa Sumber Daya Air (JTRESDA) - Inpres
Publisher : Fakultas Teknik, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.jtresda.2026.6.1.10

Abstract

DAS Welang merupakan salah satu DAS terbesar yang menjadi pemasok kebutuhan air baku dan irigasi untuk daerah Pasuruan. Namun, pada DAS Welang terjadi permasalahan hilangnya data curah hujan sehingga tidak dapat menghitung debit andalan yang terjadi pada DAS Welang. Alternatif untuk melengkapi data curah hujan yang hilang adalah menggunakan data curah hujan dari satelit, salah satunya satelit yang diluncurkan oleh NASA, yaitu Global Precipitation Measurement (GPM). Data curah hujan dari satelit GPM yang telah terkoreksi akan digunakan sebagai input data hujan pada pemodelan National Rural Electric Cooperative Association (NRECA) untuk menghasilkan estimasi debit pada DAS Welang. Analisis kalibrasi data curah hujan satelit GPM menghasilkan nilai NSE sebesar 0,843 kategori “Sangat Baik” dan nilai Koefisien Korelasi sebesar 0,919 kategori “Sangat Kuat”. Pemodelan metode NRECA untuk analisis kalibrasi dan validasi menunjukkan bahwa nilai NSE dan Koefisien Korelasi paling baik dihasilkan oleh komposisi data kalibrasi dan validasi 19:1 dengan nilai NSE untuk kalibrasi sebesar 0,952 kategori “Sangat Baik” dan untuk validasi sebesar 0,627 kategori “Memenuhi”, sedangkan nilai Koefisien Korelasi untuk kalibrasi sebesar 0,983 kategori “Sangat Baik” dan untuk validasi sebesar 0,807 kategori “Sangat Kuat”. Perhitungan debit andalan, hasil yang didapatkan untuk Q80% sebesar 2,63 m³/dt, untuk Q90% sebesar 2,11 m³/dt, dan untuk Q95% sebesar 2,01 m³/dt.
Performance Evaluation of the GPM Satellite Rainfall in the Wampu Basin, North Sumatera, Indonesia Hakim, Anita Maulidiyah Rahma; Harisuseno, Donny; Sisinggih, Dian; Asmaranto, Runi
Jurnal Teknik Pengairan: Journal of Water Resources Engineering Vol. 16 No. 2 (2025)
Publisher : Fakultas Teknik, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.pengairan.2025.016.02.7

Abstract

Rainfall data is crucial in water resources management, particularly associated with its quantity, quality, and spatial and temporal availability in a basin. This study aims to assess the feasibility of Global Precipitation Measurement (GPM) satellite rainfall data to represent rainfall in the Wampu basin. The observed and the GPM rainfall data were collected for 2001 – 2022. Rainfall data from observations and satellites are classified into seven rainfall depth classes with an interval of 10 mm for each class. The GPM was calibrated by determining each class’s correction factor (CF). Calibration is carried out by adjusting the CF value until the difference between the probability of occurrence of satellite and observation data for 2001 – 2017 shows a minimum value. The accuracy of the yielded CF was then validated by evaluating the estimated rainfall from the GPM with the observed rainfall for 2018 – 2022. The results show that the CF of GPM varies from 0.9 – 1.012 for rainfall intervals 0 – 10 mm, 10 – 20 mm, 20 – 40 mm, 40 – 50 mm, 50 – 100 mm, 100 – 110 mm, and >110 mm, respectively. Then, the validation results show an “Excellent” level of accuracy between the corrected GPM and the observed data.   
Comparative Analysis of Rainfall Patterns in Jatigede Watershed Using the Huff Method Setiyowati, Yunita Ayu; Harisuseno, Donny; Sajali, M. Amar
Jurnal Teknik Pengairan: Journal of Water Resources Engineering Vol. 16 No. 2 (2025)
Publisher : Fakultas Teknik, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.pengairan.2025.016.02.5

Abstract

The temporal distribution of rainfall plays a vital role in hydrological analysis, particularly in estimating peak flood discharge, which significantly impacts the design of flood control infrastructure. Understanding rainfall distribution patterns is essential for improving flood forecasting and water resource management. This study aims to compare the rainfall distribution patterns in the Jatigede Watershed (DAS Jatigede) using the Huff Quartile 1 to 4 method. Hourly rainfall data were collected from six rainfall stations: Bayongbong, Cikajang, Darmaraja, Jatigede, Leuwigintung, and Sadawangi, with Ground Station data used for validation. The analysis revealed that rainfall in the Jatigede Watershed is steeper than Huff Quartile 1, with peak intensity occurring earlier during events, indicating a high concentration of rainfall at the beginning of storms, which may affect flood peak formation and watershed response time. These findings underscore the need to adjust hydrological models to better reflect actual rainfall distribution. However, the study has limitations, including a relatively small number of observation stations, potential inaccuracies in rainfall measurements, and the Huff method’s limited ability to capture spatial rainfall variability. Addressing these limitations in future research is essential for enhancing flood risk assessment and hydrological modeling accuracy in the Jatigede Watershed.
Co-Authors A Tefa, Marcorio Abdillah, Rusdan Aditama, Dimas Hafiz Aji, Yahya Muchaimin Akbar, Bagus Almira, Aufa Hanan Amadea, Alzena Andre Primantyo Hendrawan Anggara WWS anggun sugiarti, anggun Aprilansi, Ledib Aprilia, Anindi Atthahirah, Mutiara Azhar, Rifqi Fajar Azizah, Salma Bachtiar, Yusra Syarifah Beselly Putra, Sebrian Mirdeklis Cipta, Dara Marreta Deni Indarwati Dewita, Monika Dian Chandrasasi Dian Sisinggih Dwi Priyantoro Dwirani, Yosie Eka Wulandari Srihadi Putri, Eka Wulandari Srihadi Emma Yuliani Endang Purwati RN Erfarras, Nadia Nahda Ery Suhartanto Estefanus Wolok Evi Nur Cahya Fidari, Jadfan Firdaus, Alfian Firdaus, Novinda Faizah Firmanda, Rifco Ray Fitriah, Faizah Friyana, Acha Octa Gilang Y. Juantari Guntoro, Dani Eko Guntoro, Dani Eko Hakim, Anita Maulidiyah Rahma hari siswoyo Harjono, Marie Augustin Alvidian Pangestuti Ais Hartina Sahabuddin Hastina, Hastina Herdita, Chintya Ayu Permata Herdita, Chintya Ayu Permata Ima Sholikhati Jadfan Sidqi Fidari Lalu Sigar Canggih Ranesa, Lalu Sigar Canggih Lily Montarcih Limantara Listya, Amifta Farah M. Amar Sajali M. Nurul Huda Maharani, Brigitta Vidia Maharani, Yasinta Surya Mahyaya M. Rahman Moh. Sholichin Mohammad Bisri Mohammad Rahdiansyah Batubara, Mohammad Rahdiansyah Mohammad Taufiq Muarifah, Aulia Rahmawati Muhammad, Aulia Nastiti, Nadia Sari Nomleni, Aprianto Novita, Firda Nuariman, Panji Anom Nurcahyaningtyas, Devi Nurviana, Syelawati Citra Kartika Nurwijayanti Partarini, Ni Made Candra Patabang, Steven Tandi Pramestiningrum, Novita Pribadi, Laurentius Prasetya Puspasari, Ria Puteriana, Shintya Agustien Putra, Farhan Akbar Darma Putranto, Yoyok Dwi Qur'ani, Nila Putri Gading Rachmadini Chandrarien, Ahayu Rahma, Novi Fadhilah Rahmah Dara Lufira Rakhmawati, Dinia Dwi Rifnawati, Vina Rini Wahyu Sayekti Rini, Syafadilla Enggar Rispiningtati Rispiningtati Riyanto Haribowo Rizal Arifuddin K. Rubiantoro, Prasetyo Runi Asmaranto Sandi, Yohan Alfanii Sapto Dwi Hari Oktavianto Sari, Devi Puspita Sariyanti, Ni Komang Yuli Setiawan, Indra Wahyu Setiyowati, Yunita Ayu Shabrina, Salsabila Sidqi Fidari, Jadfan Sitepu, Haniyah Sonora, Windy Ellprimus Sri Wahyuni Suhardjono Suhardjono Sumiadi , Sumiadi Suteja, Yanuarning Tyas Dwi Safitri Tri Budi Prayogo, Tri Budi Tri Juwono, Pitojo Tri Kurniawati, Tri Ussy Andawayanti Very Dermawan Visi Murpratiwi, Aisyah Welkis, Davianto Frangky Widandi Soetopo Widyaningrum, Anditya Ika WIJAYANTI, SILVIA DEWI Wijayanto, Andy Wiyono Wit Saputra, Anggara Yan P. S. Tampani, Yan P. S. Yanuar Hendra Pramana, Yanuar Hendra Yunus Fallo