Claim Missing Document
Check
Articles

Analisis Prioritas Rehabilitasi Jaringan Irigasi Menggunakan Metode Simple Additive Weighting di Aliran Sungai Jompo Rivaldi Dwiky Agustian; Entin Hidayah; Wiwik Yunarni Widiarti
Jurnal Teknik Pengairan: Journal of Water Resources Engineering Vol. 13 No. 2 (2022)
Publisher : Fakultas Teknik, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.pengairan.2022.013.02.03

Abstract

Banjir merupakan faktor yang mengakibatkan kerusakan infrastruktur jaringan irigasi pada daerah irigasi di aliran Sungai Jompo. Kerusakan tersebut berdampak pada kurang optimalnya kinerja jaringan irigasi. Oleh karena itu, dengan terbatasnya anggaran biaya rehabilitasi maka perlu dilakukan analisis prioritas rehabilitasi jaringan irigasi. Studi ini mengambil lokasi pada Daerah Irigasi (DI) yang berada di aliran Sungai Jompo, Kabupaten Jember, Jawa Timur. Penentuan prioritas rehabilitasi jaringan irigasi dalam penelitian ini menggunakan metode Simple Additive Weighting (SAW) dengan cara menentukan bobot masing-masing kriteria rehabilitasi yang meliputi kondisi prasarana, ketersediaan air, luas areal fungsional, dan produktivitas tanam. Selanjutnya melakukan normalisasi dan perangkingan setiap alternatif dari nilai prioritas. Hasil analisis prioritas rehabilitasi jaringan irigasi menggunakan metode SAW menyatakan bahwa daerah irigasi yang menjadi prioritas utama adalah DI. Bedus. Untuk prioritas kedua hingga kesembilan secara berurutan adalah DI. Arah III, DI. Sekar, DI. Pengarengan, DI. Polo, DI. Langon Patrang, DI. Sembah Kurung, DI. Jaki, dan DI. Sembah.
Zonasi Tingkat Kerawanan Banjir Bandang dengan Sistem Informasi Geografis di Sub-DAS Kaliputih Kabupaten Jember Entin Hidayah; Wiwik Yunarni Widiarti; Adam Rifqi Ammarulsyah
Jurnal Teknik Pengairan: Journal of Water Resources Engineering Vol. 13 No. 2 (2022)
Publisher : Fakultas Teknik, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.pengairan.2022.013.02.12

Abstract

Banjir bandang di Kabupaten Jember pada pergantian tahun 2006 merupakan salah satu bencana nasional yang membawa banyak korban. Kejadian banjir bandang di Kaliputih terus berulang, untuk itu keberadaan peta zonasi banjir sangat diperlukan untuk antisipasi sebelum kejadian. Tujuan dari penelitian ini adalah untuk melakukan zonasi tingkat kerawanan banjir bandang di sub-DAS Kaliputih dengan bantuan Sistem Informasi Geografis. Metode yang digunakan dalam penelitian ini adalah metode Weights of Evidence. Lima faktor diantaranya kemiringan lereng, tata guna lahan, kerapatan jaringan sungai, jenis tanah dan Normalized Difference Vegetation Index (NDVI) digunakan untuk membuat peta zonasi. Dari yang terkuat, parameter pengkondisi kerawanan banjir adalah jenis tanah latosol coklat dan regosol abu-abu, penggunaan lahan sawah, kemiringan lereng, penggunaan lahan rumah, NDVI pada nilai rendah, dan kerapatan jaringan sungai pada nilai rendah. Hasil yang didapatkan dari analisis menunjukkan sebesar 12,25% dari total wilayah di sub-DAS Kaliputih memiliki tingkat kerawanan banjir bandang yang sangat tinggi, 14,58% tinggi, 12,81% sedang sampai tinggi, 14,89% sedang, 16,98% rendah, dan 28,49% sangat rendah dengan nilai Area Under Curve (AUC) sebesar 80,0%.
PEMETAAN GEOSPASIAL RISIKO BANJIR DI SUB-DAS GUNTING, JOMBANG JAWA TIMUR Arbi Tri Kuswardhana; entin hidayah; Retno Utami Agung Wahyono
Rekayasa Sipil Vol. 17 No. 1 (2023): Rekayasa Sipil Vol. 17 No. 1
Publisher : Department of Civil Engineering, Faculty of Engineering, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.rekayasasipil.2023.017.01.8

Abstract

Floods are the most recurring natural disasters and impact human life, causing a severe economic downturn. The level of flood risk is a function of hazard and vulnerability. Flood risk-prone areas need to be identified to reduce the flood risk level. This study aims to assess flood risk based on spatial analysis results with Geographic Information Systems (GIS). The flood hazard map is built from remote sensing-based data in the form of a digital elevation model (DEM) applied using the frequency ratio weighting (FR) technique. Vulnerability maps are generated from social, economic, physical, and environmental data applied through techniques overlays weighted using the analytical hierarchy process (AHP). The resulting risk map shows that 21.93% and 6.40% of the total area are at a very high and high level of flood risk. This map is very useful for planning the flood management.
Accuracy of DSM By Using Unmanned Aerial Vehicles on the Downstream of Welang Riverbank, District of Pasuruan, Jawa Timur Dian Wahyu Khaulan; Entin Hidayah; Gusfan Halik
U Karst Vol. 5 No. 1 (2021): APRIL
Publisher : Kadiri University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30737/ukarst.v5i1.1153

Abstract

The Digital Surface Model (DSM) is commonly used in studies on flood map modeling. The lack of accurate, high-resolution topography data has hindered flood modeling. The use of the Unmanned Aerial Vehicle (UAV) can help data acquisition with sufficient accuracy. This research aims to provide high-resolution DSM-generated maps by Ground Control Points (GCPs) settings. Improvement of the model's accuracy was pursued by distributing 20 GCPs along the edges of the study area. Agrisoft software was used to generate the DSM. The generated DSM can be used for various planning purposes. The model's accuracy is measured in Root Mean Square Error (RMSE) based on the generated DSM. The RMSE values are 0.488 m for x-coordinates and y-coordinates (horizontal direction) and 0.161 m for z-coordinates (vertical direction).
Assessment and Optimization of Water Division Pattern in Sampean Baru Irrigation Area Joice Prasasty September; Entin Hidayah; Gusfan Halik
U Karst Vol. 5 No. 1 (2021): APRIL
Publisher : Kadiri University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30737/ukarst.v5i1.1366

Abstract

Recently, agricultural production in the Sampean Baru Irrigation area has not shown optimal cropping production. The average percentage of planted areas in the first (November-February),second (March-June), and third (July-October) planting seasons for the upstream area was 93.67%; 98.02%, and 76.76%, and for the downstream area was 83.54%; 80.81%; and 89.36%. This research aims to optimize the water distribution system based on the calculation of water requirements for plants and the availability of channels to obtain the maximum planting area and amount of agricultural production. This optimization method uses a Dynamic Program with three scenarios. This calculation is based on effective rainfall, crop water requirements, and water discharge availability. Percentage of planted area obtained from the calculation in the dry year for the first, second, and third planting seasons respectively were 100%, 100%, and 90.36%. Based on the existing condition, potential profit obtained for a year is Rp. 170.08 billion. After optimization using Dynamic Program, potential profit in the dry year, normal year, and wet year are IDR 213.52 billion, IDR 215.92 billion, and IDR 228.50 billion, respectively.
Flood Vulnerability Assessment of Kali Welang Floodplain by Using AHP-Based Methods Ageng Dwi Wicaksono; Entin Hidayah; Retno Utami Agung Wiyono
U Karst Vol. 5 No. 1 (2021): APRIL
Publisher : Kadiri University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30737/ukarst.v5i1.1370

Abstract

Floods occur almost every year in a number of areas in the floodplain of Kali Welang. The floods have caused loss of materials and lives. Assessment of the vulnerability is essential for policy making in non-structural treatment of floods.  The objective of this paper is to compute and elaborate the flood vulnerability index in local scale to assess conditions that affect the magnitude of flood hazards.  This study identifies and evaluates the Flood Vulnerability Index (FVI) of an area by considering the factors of area’s exposure to floods, flood susceptibility, and flood resilience. The Analytic Hierarchy Process (AHP) is used to formulate the weights of each component. The values of the components were collected from interviews with policy makers from relevant governmental agencies. The inputs for the AHP were collected from the respondents in a questionnaire survey. This study selected 18 relevant indicators. The FVI results show very high vulnerability in local scale in one village and high vulnerability in other six villages. The results of this study can be used to construct non-structural strategies in flood mitigation by enhancing community’s resilience toward the flood. In addition, the results can be used for policy making process in spatial urban planning.
Mapping of Landslide Susceptible Zones by Using Frequency Ratios at Bluncong Subwatershed, Bondowoso Regency Didik Efendi; Entin Hidayah; Akhmad Hasanuddin
U Karst Vol. 5 No. 1 (2021): APRIL
Publisher : Kadiri University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30737/ukarst.v5i1.1455

Abstract

Landslides are the disasters that frequently happen in Bluncong sub-watershed. These incidents have caused damage and malfunction of road infrastructure, bridges, and irrigation buildings. Therefore, it is important to anticipate landslides through mapping of landslide-susceptibility areas The objective of this study is to map landslide susceptibility at Bluncong sub watershed, Bondowoso, by using Geographical Information System and remote sensing. The landslide susceptibility analysis and mapping are conducted based on landslide occurrences with the Frequency Ratio approach. The landslide sites are identified from field survey data interpretation. Digital Elevation Model maps, geological data, land uses and rivers data, and Landsat 8 images are collected, processed, and then built into the GIS platform's spatial database. The selected factors that cause landslide occurrences are land use, distance to river, aspect, slope, elevation, curvature, and the vegetation index (NDVI). The results show that the accuracy of the map is acceptable. The frequency ratio model gained the area under curve (AUC) value of 0.79. It is found that 9.08% of the area has very high landslide susceptibility. Local governments can use this study's mapping results to minimize the risk at landslidesusceptible zones
Reduce Flood Losses Of Kali Tanggul Using Spatial Based Technical Approaches Prabowo Prabowo; Gusfan Halik; Entin Hidayah; Taqiudin Haq
U Karst Vol. 5 No. 2 (2021): NOVEMBER
Publisher : Kadiri University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30737/ukarst.v5i2.1678

Abstract

Flood disasters frequently occurred in Jember Regency, East Java. It is usually caused by the overflow of the Tanggul River in the rainy season, especially in the downstream area. Flood control could be done by building dams, embankments, shortcuts, and other technical flood protections. Meanwhile, mitigation efforts such as developing thematic maps of flood inundation need to be done to minimize losses caused by the flood. This study aims to design a flood mitigation strategy technically. The flood control structure was proposed by designing a shortcut in Kali Tanggul. Its performance was analyzed to reduce flood inundation in the Tanggul watershed. The flood inundation modeling was carried out using spatial analysis using ArcGIS 10.1 and hydraulic analysis using HECRAS 5.0.3. Flood inundation results were compared with the Tanggul watershed flood map developed by UPT PUSDA Lumajang. Based on modeling results, flood control using shortcuts is considered an effective strategy for flood mitigation. It was indicated by the reduction of flood inundation distributions, flood inundation height, and flood-affected areas. The results show that the flood height decrease 0.47 up to 0.56 m
Pemetaan Kerawanan Tanah Longsor di Hulu DAS Tanggul Indra Nurtjahjaningtyas; Gatrawan Muchammad Albirru; Entin Hidayah
Rekayasa Sipil Vol. 17 No. 2 (2023): Rekayasa Sipil Vol. 17 No. 2
Publisher : Department of Civil Engineering, Faculty of Engineering, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.rekayasasipil.2023.017.02.12

Abstract

Landslides are one of the natural disasters that often occur in the Upper Tanggul Watershed. This study aims to produce a landslide susceptibility map based on the Geographic Information System (GIS). Seven landslides conditioning factors used, namely land cover, river density, slope, aspect, elevation, curvature and Normalized Difference Vegetation Index (NDVI). Landslide susceptibility areas were mapped using the frequency ratio and weights-of-evidence methods. The accuracy of the landslide susceptibility maps generated from both methods is validated using the Area Under Curve (AUC). The estimation results of the AUC plot show that the susceptibility map using the frequency ratio model has an accuracy of 92,6% and the weights-of-evidence method has an accuracy of 90,1%.
Penilaian Risiko Banjir dengan Pendekatan Rasio Frekuensi dan AHP di Sub-DAS Jompo, Jember Jawa Timur Entin - Hidayah
Jurnal Aplikasi Teknik Sipil Vol 21, No 1 (2023)
Publisher : Departemen Teknik Infrastruktur Sipil Institut Teknologi Sepuluh Nopember Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j2579-891X.v21i1.14670

Abstract

Daerah rawan risiko banjir sangat perlu dilakukan identifikasi untuk mengurangi tingkat risiko banjir. Tingkat risiko banjir merupakan fungsi dari bahaya dan kerentanan. Penelitian ini bertujuan untuk menilai risiko banjir berdasarkan hasil analisis spasial dengan Sistem Informasi Geografis (SIG). Peta bahaya banjir dibangun dari data berbasis penginderaan jauh berupa model elevasi digital (DEM), penggunaan lahan, curah hujan harian historis, jaringan sungai, dan data citra satelit yang diterapkan dengan teknik bobot rasio frekuensi (FR). Peta kerentanan dihasilkan dari data sosial, ekonomi, fisik, dan lingkungan yang diterapkan melalui teknik overlay berbobot menggunakan proses hierarki analitik (AHP). Peta risiko yang dihasilkan menunjukkan bahwa 21,93% dan 6,40% dari tota wilayah berada pada tingkat risiko banjir yang sangat tinggi dan tinggi. Penilaian risiko banjir menjadi acuan dalam pengambilan tindakan mitigasi bencana banjir secara struktural dan non-struktural.
Co-Authors Adam Rifqi Ammarulsyah Afriq Fadian Syahya Ageng Dwi Wicaksono Ahmad Rizza Lufafi Akbar, Sabda Alam Akhmad Hasanuddin Aldio Dhiva Pratama Anik Ratnaningsih Arbi Tri Kuswardhana Audiananti Meganandi Kartini Bachtiar Ilham Maulana Bagas Rahmandita Subchan Cahyani, Hajar Crisia Devi Ratna Handini Dian Wahyu Khaulan Didik Efendi Edijatno Edijatno Edijatno Edijatno Elida Novita Erwan Bagus Setiawan Fachry Abda El Rahman Fahir Hassan Febriyanto, Andreyan Fildzah, Cantika Almas Gati Annisa Hayu Gatrawan Muchammad Albirru Gusfan Halik Gusfan Halik Gusfan Halik Hajar Crisia Cahyani Icha Derka Indarto Indarto Indarto Indarto Indarto Indarto Indarto Indarto Indra Nurtjahjaningtyas Joice Prasasty September Machmud Budi Sulistiyo Mahfud, Alvian Sahal Mohamad Andhika Rafif Mokhammad Farid Ma'ruf Mokhammad Farid Ma'ruf Muhamad Zulvi Alhamda Muhammad Arifin Nadjadji Anwar Nadjadji Anwar Ningsih, Alfiati Nunung Nuring Hayati Nur Alif Ryanto Nur Defitri Herlinda Nur Iriawan Nur Iriawan Pebriyanti, Fista Prabowo Prabowo Prawira, Akbar Bagus Prihantono, Gunawan Eko Purnagusti, Yangga Putri, Art Palupi Pranoto Putu Adetya Pariartha Qatrinnada, Winona Fritzie Putri Retnaningtias, Sefti Aryani Retno Utami Agung Wahyono Retno Utami Agung Wiyono Ririn Endah Badriani, Ririn Endah Rivaldi Dwiky Agustian Rusyidina Tamimi, Rusyidina Saifurridzal, Saifurridzal Setyawan, Roeby Sonia Oktariyanti Sri Wahyuni Suparno Suparno Syahya, Afriq Fadian Taqiudin Haq Tedy Pranadiarso Usaamah Hadi Wei Koon Lee Wicaksono, Ega Fajar Wiwik Yunarni Wiwik Yunarni Widiarti Yunarni, Wiwik Zulkifli Yusop