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Prediksi Laju Sedimentasi Pada Sungai Jatiroto Cahyani, Hajar Crisia; Hidayah, Entin; Wiyono, Retno Utami Agung; Halik, Gusfan; Widiarti, Wiwik Yunarni
Jurnal Rekayasa Sipil (JRS-Unand) Vol. 17 No. 1 (2021)
Publisher : Civil Engineering Departement, Andalas University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jrs.17.1.64-71.2021

Abstract

Erosi dapat menyebabkan terjadinya sedimentasi di sungai. Sedimentasi yang terjadi secara terus-menerus dapat mengakibatkan sungai menjadi dangkal dan mengurangi kapasitas sungai. Sedimen akan mengendap pada bagian tertentu di sepanjang aliran sungai yang tidak mampu terangkut bersama dengan aliran sungai. Sungai Jatiroto merupakan sungai yang membatasi Kabupaten Lumajang dan Kabupaten Jember. Sungai Jatiroto dimanfaatkan untuk keperluan irigasi pada kecamatan Jatiroto dan Kecamatan Rowokangkung. Penyebab dari sedimentasi adalah perubahan tata guna lahan ataupun erosi yang dilakukan oleh sungai itu sendiri. Pemodelan transpor sedimen oleh HEC-RAS bertujuan untuk mengetahui laju sedimen yang terbawa oleh sungai. Pada pemodelan ini dilakukan dua analisis, yaitu analisis hidrolika dan analisis transpor sedimen. Tahap pertama, analisis hidrolika menggunakan debit unsteady, parameter Manning (n) dan koefisien ekspansi dan kontraksi. Kalibrasi model dilakukan dengan cara perbandingan tinggi muka air yang menghasilkan nilai determinasi R2 sebesar 0,9586, nilai RMSE sebesar 0,39 dan masuk dalam kategori baik. Tahap kedua, analisis sedimentasi menggunakan debit quasi-unsteady dan diameter butiran. Fungsi pengangukatan sedimen yang cocok pada pemodelan ini adalah Laursen (Field) dengan laju sedimen sebesar 256,341 m³/tahun. Adapun laju sedimentasi di lapangan dilakukan dengan membandingkan cross section lama dengan yang baru yaitu 289,24  m³/tahun. Uji keandalan (validasi) model dilakukan dengan membandingkan hasil pemodelan dengan data observasi yang didapatkan dari hasil perhitungan volume pengendapan pada cross section. Didapatkan hasil uji keandalan sebesar 88%.
Determination of Rainfall Thresholds as Flood Triggers in the Klopogowok Watershed, Jember Qatrinnada, Winona Fritzie Putri; Hidayah, Entin; Halik, Gusfan
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.2025.016.02.1

Abstract

The Klopogowok Watershed in Bangsalsari District, Jember Regency, often experiences flooding, which disrupts community activities and causes quite severe traffic congestion. This study aims to determine the rainfall threshold that triggers flooding using empirical methods to provide early warning and more effective mitigation measures. The data used in this study include rainfall data from the Global Precipitation Measurement (GPM) satellite and local observation data from 2014 to 2023. The approach used is consistency and correlation analysis between satellite and observation data. The analysis results show that flooding in the Klopogowok Watershed occurs with rainfall intensity ranging from 45 to 145 mm, lasting 6 to 19 hours. The empirical model obtained is I = 17.727D0.4858. This model has been proven to predict flood events, with the intensity-duration (I–D) equation able to identify the rainfall threshold that causes flooding quite well, with a coefficient of determination (R2) value of 0.732. Model validation using flood event data shows that this model can be used to provide early warning of potential flooding as a preventive measure. With integration into a real-time weather monitoring system, this model can be used as a basis for early warning of flooding in the Klopogowok Watershed. These findings will help policymakers in disaster mitigation, more effective water management planning, and improve community preparedness for flood disasters.
Forest and Land Fire Disaster Risk Assessment Using Geographic Information Systems in Arut Selatan District, West Kotawaringin Regency, Central Kalimantan Province Prakoso, Tara Adi; Wiyono, Retno Utami Agung; Halik, Gusfan
Journal of Applied Geospatial Information Vol. 9 No. 1 (2025): Journal of Applied Geospatial Information (JAGI)
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jagi.v9i1.9489

Abstract

Kotawaringin Barat Regency, Central Kalimantan Province, has six sub-districts, namely Kumai District, Arut Selatan District, Arut Utara District, Pangkalan Lada District, Pangkalan Banteng District, and Kotawaringin Lama District, all of which are areas prone to natural disasters. One of them is forest and land fires. In recent years, there have been many forest and land fires in the Kotawaringin Barat Regency area. Starting in 2022, there were around 75 forest and land fires; in 2023, there were around 201 incidents; and in 2024, there were around 36 incidents, all of which were in the Arut Selatan District and Kumai District. With the occurrence of forest and land fires, most of them in the two sub-districts, namely Kumai and Arut Selatan Districts, this study took the location of Arut Selatan District. The assessment of forest and land fire disaster risks uses spatial analysis methods. To find the weight of hazard, vulnerability, and capacity using secondary data processed with the formula according to the Regulation of the Head of BNPB Number 2 of 2012 concerning disaster risk assessment using the Excel application. The results of the assessment of the risk of forest and land fires in the South are dominated by high classifications of 9 villages/sub-districts with a percentage of 83.8% of the total area. While for the moderate classification of 5 villages/sub-districts with a percentage of 2.7% of the total area and moderate classification of 6 villages/sub-districts with a percentage of 13.5% of the total area. With the high risk of forest and land fires because the percentage of hazards and vulnerabilities is still high and the percentage of capacity is still classified as moderate. For this reason, it is necessary to increase capacity in dealing with forest and land fires to reduce the risk of forest and land fires that occur.
Assessment of Climate Change Impact for Water Scarcity in Semajid Watershed, Pamekasan, East Java Halik, Gusfan; Priyanto, Agil; Wiyono, Retno Utami Agung
Journal of the Civil Engineering Forum Vol. 12 No. 2 (May 2026)
Publisher : Department of Civil and Environmental Engineering, Faculty of Engineering, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/jcef.18841

Abstract

The increase in global temperature has caused climate change, resulting in changes in the distribution of rainfall patterns, seasonal shifts, changes in water availability, and water scarcity. At present, water scarcity in Semajid watershed in Pamekasan Regency is increasing with climate change. Water scarcity will be increasingly difficult to predict due to highly complex dynamics of atmospheric circulation and local climate phenomena such as El Niño-Southern Oscillation (ENSO). This research aims to develop an assessment model to evaluate the impact of climate change on water scarcity using the Semajid watershed of Pamekasan Regency as a case study. The prediction of water scarcity is based on atmospheric circulation dynamics data from the General Circulation Model (GCM-MIROC5) under different climate change scenarios namely Representative Concentration Pathways (RCP). A statistical downscaling model was developed to overcome the limited resolution of the GCM output. The rainfall prediction model was developed using a deep learning-based downscaling model i.e. Long-Short Term Memory (LSTM), while streamflow or water availability prediction was conducted using the Soil Water Assessment Tools (SWAT) model. The Standardized Precipitation Index (SPI) and the Water Scarcity Index (WSI) were used to assess water scarcity. The results showed that the LSTM-based downscaling model provided satisfactory rainfall predictions under different climate change scenarios (RCP) with a reliability average of R2 = 0.741. The SWAT model results also provided satisfactory predictions of water availability with an average reliability of R2 = 0.668. The assessment of water scarcity using SPI and WSI indices showed that water scarcity ranged from moderate to high levels and coincided with the occurrence of El Niño events. Overall, this study demonstrates that the integration an LSTM-based rainfall downscaling model and the SWAT hydrological model can be used as an effective tool to predict water scarcity in the Semajid watershed.