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All Journal Maspari Journal IPTEK The Journal for Technology and Science BERKALA SAINSTEK KERN Jurnal Teknik Pengairan: Journal of Water Resources Engineering Rekayasa Sipil Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan (Journal of Natural Resources and Environmental Management) Forum Geografi Jurnal Teknik Sipil Jurnal Rekayasa Sipil dan Lingkungan Teras Jurnal U Karst Jurnal Aplikasi Teknik Sipil Jurnal Rekayasa Sipil Journal of the Civil Engineering Forum PEKAT : Jurnal Pengabdian Kepada Masyarakat Geosfera Indonesia
Entin Hidayah
Department Of Civil Engineering, Faculty Of Engineering, University Of Jember, Kalimantan St. Number 37, Jember, East Java, Indonesia
Agriculture, Biological Sciences & Forestry Humanities Biochemistry, Genetics & Molecular Biology Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Earth & Planetary Sciences Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Immunology & microbiology Mathematics Physics Public Health Social Sciences Transportation Other

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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.
Analisis Prioritas Penanganan Kerusakan bendung di DAS Mayang Kabupaten Jember Afriq Fadian Syahya; Wiwik Yunarni Widiarti; Entin Hidayah
Jurnal Rekayasa Sipil Vol 19, No 1 (2023)
Publisher : Civil Engineering Departement, Andalas University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jrs.19.1.1-13.2023

Abstract

Bertambah besarnya tanggung jawab pemerintah daerah menuntut semakin banyak jumlah anggaran yang harus dikeluarkan dalam pembangunan. Hal ini merupakan tantangan dalam melaksanakan pembangunan yang berkelanjutan dan berkeadilan. Salah satu tunggang jawab tersebut adalah melakukan penanganan terhadap kerusakan bangunan utama irigasi yang masing masing memiliki manfaat, tingkat kerusakan, dan keterbatasan yang berbeda beda, sehingga penentuan prioritas rehabilitasi sulit untuk dilakukan. Studi ini bertujuan untuk menentukan prioritas penanganan bendung berdasarkan analisis tiga kinerja yang meliputi kondisi prasarana, ketersediaan air, dan luas area irigasi. Penilaian ini dilakukan pada lima bendung yang berurutan pada aliran sungai utama DAS Mayang. Proses pengambilan data dilakukan dengan penyebaran kuisioner kepada 9 orang dari Dinas PU Pengairan Jember dan 1 orang dari UPT Pengairan Mayang. Sedangkan data ketersediaan air dan luas area irigasi didapatkan dari Dinas PU Pengairan Jember. Penentuan bobot kinerja bendung dilakukan menggunakan metode AHP (Analytical Hierarchy Process). Penilaian tingkat kerusakan bendung dilakukan dengan pengamatan langsung dilapangan yang mengacu pada Permen PU No.12/PRT/M/2015. Hasil pembobotan kinerja bendung menunjukan bahwa kondisi prasarana 49%, ketersediaan air 42%, dan luas area Irigasi 9%. Bendung Tegal Waru merupakan prioritas utama dalam penanganan kerusakan.
Flood Susceptibility Mapping in Gending District by Comparison Frequency Ratio and Weight of Evidence for Mitigation Strategy Bachtiar Ilham Maulana; Entin Hidayah; Gusfan Halik
UKaRsT Vol. 7 No. 1 (2023): APRIL
Publisher : Kadiri University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30737/ukarst.v7i2.3999

Abstract

Floods are natural disasters that occur all over the world. Gending District in Probolinggo Regency, East Java, is an area that often experiences floods and causes various losses. A flood susceptibility map needed to prepare appropriate mitigation actions. Choosing the right method will produce a more accurate flood susceptibility map. The research aims to make a flood susceptibility map in Gending District by comparing the Frequency Ratio (FR) and Weight of Evidence (WofE) methods and providing appropriate mitigation recommendations. Six data factors that cause flooding are used: slope, elevation, land use, normalized difference vegetation index (NDVI), curvature, and rainfall. The data obtained were processed using the FR and WofE methods, which were then validated using the Receiver Operating Characteristics (ROC) method. The validation value is calculated using the ROC chart's Area Under Curve (AUC). The higher the AUC value, the better. The study's results revealed that the correct method for making a flood susceptibility map in Gending District was FR with an AUC value of 92.8%, while the WofE method was 90.4%. The flood susceptibility map illustrates that 14% of the area is in very high and high flood-prone zones, 23% is in the moderate zone, and 63% is in the safe zone. The appropriate mitigation strategy based on the highest FR value is creating drainage networks, and green open spaces, normalizing rivers in residential areas, and implementing selective logging and reforestation programs. The results of this study are used to reduce the impact and risk of future flood disasters.
Tsunami Disaster Risk Assessment Using a Geographic Information System for Puger Sub-District, Jember Regency Suparno Suparno; Retno Utami Agung Wiyono; Entin Hidayah; Wei Koon Lee
Jurnal Teknik Pengairan: Journal of Water Resources Engineering Vol. 14 No. 1 (2023)
Publisher : Fakultas Teknik, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.pengairan.2023.014.01.2

Abstract

The southern region of East Java is located on the Indo-Australian plate. The shifting of these plates allows for earthquakes that trigger tsunamis to occur. The earthquake leads to the impact of a tsunami in several areas, one of which is Puger Sub-District, Jember Regency. The main economic activity of the Puger Sub-District is the fishery; hence significant local coastal communities are vulnerable to tsunami threats. This study aims to map the tsunami risk using a Geographic Information System. The tsunami hazard map used the analysis of the tsunami inundation map from the BMKG. Vulnerability and capacity maps were prepared based on BNPB Chief Regulations. Vulnerability is evaluated based on social, physical, environmental, and economic data. Capacity considers components of the institution, early warning and risk analysis or evaluation, disaster awareness education, reduction of basic risk, and preparedness. The hazard, vulnerability, and capacity maps are classified into five classes. The tsunami risk map is then derived by overlaying the three input maps. Results showed that the villages with very high risk are Puger Kulon and Mojosari at the coastal front areas, covering an area of 13.01% of the total regional area of the Puger Sub-District.
Mapping of Mount Semeru Volcanic Mudflow Susceptibility Along the Rejali River using the GIS-based AHP-TOPSIS Ensemble Approach Sonia Oktariyanti; Entin Hidayah; Saifurridzal; Mokhammad Farid Ma'ruf; Nunung Nuring Hayati; Zulkifli Yusop
Journal of the Civil Engineering Forum Vol. 9 No. 3 (September 2023)
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.6691

Abstract

Volcanic mudflow floods occur when rainfall runoff combines with volcanic material and flows downstream. These devastating events cause significant damage to infrastructure, disrupt economies, and result in injuries and casualties. One area where the flow of volcanic material greatly affects the situation is the Rejali River, which receives a substantial amount of volcanic debris from Mount Semeru. To address this issue and begin mitigating the associated risks, it is crucial to start by mapping the potential distribution of volcanic mudflow floods. Therefore, this study aimed to assess factors impacting volcanic mudflow flood susceptibility and to create a corresponding susceptibility map. The study employed the Analytical Hierarchy Process (AHP) and the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) to determine the influence of various factors and classify the areas, respectively. These methods were integrated with the Geographic Information System (GIS) to enhance the analysis. The weighted analysis results showed that the most impactful factors conditioning volcanic mudflow floods, in descending order, were rainfall (42.40%), land cover (13.89%), elevation (13.39%), slope (12.51%), distance from the river (7.09%), soil type (6.58%), and rock distribution (4.13%). The TOPSIS calculation further highlighted that rainfall intensity between 104.03 and 109.65 mm day-1 had the greatest influence on susceptibility. The successful integration of AHP and TOPSIS methods with GIS helped develop a volcanic mudflow flood susceptibility model with an outstanding accuracy of 0.969. The model showed that approximately 46.40% of the areas along the Rejali River exhibited very high susceptibility to volcanic mudflow floods, while an additional 16.21% indicated high susceptibility and substantial risk in most regions. Therefore, the generated susceptibility map offered important insights for shaping future mitigation strategies and influencing policy decisions.
Penentuan Desain Optimum Penstock untuk Pembangkit Listrik Tenaga Mikrohidro di Sungai Poreng, Jember Aldio Dhiva Pratama; Entin Hidayah; Retno Utami Agung Wiyono
Jurnal Teknik Pengairan: Journal of Water Resources Engineering Vol. 12 No. 1 (2021)
Publisher : Fakultas Teknik, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.pengairan.2021.012.01.07

Abstract

Pipa pesat merupakan saluran penghubung antara bak penenangdengan turbin pada rumah pembangkit. Meminimalisir kehilanganenergi pada pipa pesat sangat penting untuk mengoptimalkanbangkitan energi listrik. Tujuan penelitian ini adalah melakukanoptimasi diameter dan tebal pipa pesat untuk mencari hasil yangpaling efisien, yang dikaji dari aspek hidrolika dan biayanya.Metode pemilihan pipa pesat yang optimal dapat ditentukanberdasarkan hubungan secara empiris, antara berbagai formula daridiameter dan tebal pipa pesat yang dinilai terhadap energi yangdihasilkan serta harga pipa pesat itu sendiri. Hasil penelitianmenunjukkan bahwa besar diameter berbanding lurus dengan besarenergi yang dihasilkan dan harga pipa pesat. Berdasarkanperbandingan, didapatkan diameter optimum pipa pesat sebesar0,45 meter dengan tebal 0,0018 meter yang dihitung menggunakanformula dari Moffat, serta daya bangkitan sebesar 52,16 kW danenergi sebesar 456.914,33 kWh per tahunnya dengan harga pipaIDR 3.610.900 per meter pipa pesat.Penstock is the connecting channel between the forebay and theturbine in the power house. Minimizing the energy loss in thepenstock is very important to optimize the generation of electricalenergy. The purpose of this research is to optimize the diameterand thickness of penstock to find the most efficient results, whichare examined from the aspects of hydraulics and costs. The optimalmethod of penstock selection can be determined based on theempirical relationship between the various formulas of the diameterand thickness of the penstock as assessed by the energy producedand the price of the penstock itself. The results showed that thediameter was directly proportional to the amount of energyproduced and penstock price. Based on the comparison, theoptimum diameter of the penstock is 0,45 meters with a thicknessof 0,0018 meters which is calculated using the formula fromMoffat, as well as a generation power of 52,16 kW and energy of456.914,33 kWh yearly with the price of IDR 3.610.900 per meterpenstock pipe.
Analisis Potensi Penerapan Sistem Rainwater Harvesting di Daerah Aliran Sungai Bedadung Kabupaten Jember Entin Hidayah; Art Palupi Pranoto Putri; Saifurridzal Saifurridzal
Jurnal Teknik Sipil Vol 30 No 2 (2023): Jurnal Teknik Sipil
Publisher : Institut Teknologi Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5614/jts.2023.30.2.11

Abstract

Abstrak DAS Bedadung merupakan salah satu DAS terbesar di Kabupaten Jember yang didominasi oleh sawah irigasi dan sering mengalami bencana banjir. Salah satu cara untuk mengurangi banjir dengan melakukan peningkatan resapan air menggunakan teknologi rainwater harvesting. Tujuan penelitian ini adalah mengidentifikasi lokasi yang berpotensi untuk diterapkannya 4 tipe rainwater harvesting di DAS Bedadung. Tahapan penelitian ini dibagi menjadi 4 tahap utama, yaitu: analisis dan reklasifikasi kriteria lokasi rainwater harvesting, uji multikolinearitas untuk menemukan korelasi antar kriteria, analisis pembobotan menggunakan metode AHP, dan pemetaan potensi lokasi rainwater harvesting. Berdasarkan hasil uji multikolinearitas, delapan kriteria dapat digunakan untuk analisis lokasi. Bobot terbesar ada pada kriteria elevasi dan bobot terkecil ada pada tutupan lahan. Lokasi yang berpotensi untuk penerapan guludan kontur, pemanenan air hujan dari atap dan kolam pertanian adalah Kecamatan Kaliwates, sedangkan tipe embung berpotensi di Kecamatan Ambulu. Kata-kata Kunci: AHP, DAS bedadung, mitigasi banjir, GIS, rainwater harvesting
Assessment of Land Erosion Hazard in the Sampean Hulu Sub Watershed, Bondowoso Regency Setyawan, Roeby; Nurtjahjaningtyas, Indra; Hidayah, Entin
Jurnal Teknik Pengairan: Journal of Water Resources Engineering Vol. 14 No. 2 (2023)
Publisher : Fakultas Teknik, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.pengairan.2023.014.02.3

Abstract

The Sub-watershed of Sampean Hulu, located on the slopes of Mount Raung is susceptible to erosion hazards. Erosion indicators have been observed in the irrigation channels, mainly due to frequent sedimentation, which compromises the irrigation infrastructure's optimization and water distribution. To address this, erosion monitoring using the Universal Soil Loss Erosion (USLE) model, along with GIS and remote sensing techniques, is essential. It was found that the irrigation networks associated with Clangap and Tamanan rain gauges are at higher risk due to intense rainfall. Maesan and Wonosari II rain gauges cover a larger irrigation network area, highlighting the need for erosion prevention measures. The dominant soil type, Tv, with a high clay content, is highly susceptible to erosion. Flat and gently sloping slopes have a lower risk compared to steeper slopes, while very steep and steep slopes pose higher erosion risks. Paddy fields and well-managed forest plantations have lower erosion hazards, while bare land and certain agricultural practices contribute to increased erosion risks. The analysis classified the erosion hazard into five classes, with the sub-watershed being predominantly low and very low susceptible to soil erosion. Implementing conservation practices, sustainable land management, and land use regulations are crucial for erosion prevention.
Mapping the Lava Flood Hazard Using the Flood Discharge Approach and 2D Hydrodynamic Modeling at the Rejali River, Mount Semeru Prawira, Akbar Bagus; Hidayah, Entin; Wiyono, Retno Utami Agung
Journal of the Civil Engineering Forum Vol. 10 No. 2 (May 2024)
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.8463

Abstract

In December 2021, Mount Semeru experienced an eruption accompanied by extreme rainfall, which resulted in lava floods, known as lahars or debris flows. The lava flood destroyed infrastructure, resulting in loss of life. Various rivers surrounding Mount Semeru, including the Rejali River, experienced the effects of this phenomenon. To address this, a study is needed to analyze the occurrence and frequency of lava floods over specific time intervals through the creation of a hazard map. This study aims to map the hazard of lava floods for various return periods using a coupled HEC-HMS and HEC-RAS software alongside a lava flood discharge approach. The HEC-HMS software is used to simulate hydrological processes, to obtain the lava flood discharge, while the HEC-RAS is used to model a two-dimensional (2D) lava flood hazard map. The input parameters of the modeling in this study are rainfall intensity, soil type, land cover, river distance, slope, and elevation. The results show that the flood area covers 9.55% of the total study area by 2 year return period (Q2), 11.80% by Q10, 14.10% by Q50, and 15.72% by Q200 with an overall validation Root Mean Square Error (RMSE) of 0.16. These changes are determined by the discharge volume from each return phase and the river's shallow depth, which causes overflow beyond the river's ability to accommodate the flow. Thus, this study suggests that the models successfully generated a reliable model for mapping the risk of lava floods on the Rejali River. These findings can help the government reduce disaster losses through adequate adaptation and mitigation initiatives.
Co-Authors Adam Rifqi Ammarulsyah Afriq Fadian Syahya Ageng Dwi Wicaksono Ahmad Rizza Lufafi Akhmad Hasanuddin Aldio Dhiva Pratama Alfiati Ningsih Anik Ratnaningsih Arbi Tri Kuswardhana Art Palupi Pranoto Putri Bachtiar Ilham Maulana Bagas Rahmandita Subchan Devi Ratna Handini Dian Wahyu Khaulan Didik Efendi Edijatno Edijatno Edijatno Edijatno Elida Novita Erwan Bagus Setiawan Fahir Hassan Febriyanto, Andreyan Fildzah, Cantika Almas Fista Pebriyanti 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 Mohamad Andhika Rafif Mokhammad Farid Ma'ruf Mokhammad Farid Ma'ruf Muhamad Zulvi Alhamda Muhammad Arifin Nadjadji Anwar Nadjadji Anwar Nunung Nuring Hayati Nur Alif Ryanto Nur Defitri Herlinda Nur Iriawan Nur Iriawan Prabowo Prabowo Prawira, Akbar Bagus Prihantono, Gunawan Eko Putu Adetya Pariartha Retnaningtias, Sefti Aryani Retno Utami Agung Wahyono Retno Utami Agung Wiyono Rivaldi Dwiky Agustian Rusyidina Tamimi, Rusyidina Sabda Alam Akbar Saifurridzal, Saifurridzal Setyawan, Roeby Sonia Oktariyanti Sri Wahyuni Sri Wahyuningsih 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