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Assessment of Displacement Flow at Ketandan Creeks to Optimizing Land Use in Jember New City Housing Entin Hidayah; Wiwik Yunarni Widiarti; Anik Ratnaningsih
IPTEK The Journal for Technology and Science Vol 26, No 1 (2015)
Publisher : IPTEK, LPPM, Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j20882033.v26i1.1017

Abstract

Displacement flow will caused a change in the flow characteristics such as flow depth, discharge, river slope and width of the river surface. If not carefully examined, it will cause the riverbed erosion, sedimentation and risk of flooding. This paper aims to assess the hydrology and hydraulics of the river flow changes in Ketandan creek in optimizing the use of land housing for Jember New City (JNC). Hydrology modelling studies conducted for the return period rainfall include a 2 year as normal discharge, and 100 year as flood condition. Simulation of flood designs used to assess changes in the flow regime in the channel and the risk of flooding with HEC-RAS program. The results of the study showed that for the flood design 3,1 m3/sec and 12,8 m3/sec will give the effect of critical water surface. In order to keep the flow of the river bed of critically needed as the drop-structure and spillway construction
OPTIMIZATION OF CROPPING PATTERN IN IRRIGATED AREA GEMBLENG BANYUWANGI REGION USING DYNAMIC PROGRAM Ahmad Rizza Lufafi; Wiwik Yunarni Widiarti; Entin Hidayah
Jurnal Rekayasa Sipil dan Lingkungan Vol 4 No 1 (2020): JURNAL REKAYASA SIPIL DAN LINGKUNGAN
Publisher : Universitas Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/jrsl.v4i1.12097

Abstract

Gembleng Dam is located between Aliyan Village, Rogojampi District, and Parijatah Wetan Village, Srono District, Banyuwangi Regency. The dam was built to store water from the Bomo River. The Gembleng Dam is used for land irrigation with a service area of ±1735 Ha. During the dry season, The Gembleng irrigation often experiences drought and uneven water distribution. Therefore, optimization efforts using a dynamic program is used to optimize irrigation water so that it can increase yields. The results of this study are the water needed for irrigation every year is rice in rainy season 7,599 m3 / sec, rice in dry season I 7.93 m3 / sec, secondary corps in dry season II 5.35 m3 / sec for a possible year. The optimal cropping pattern is rice for rainy, rice and secondary corps for the first dry season, and secondary corps for the second dry season. The optimum land area that can be planted in a possible year is 849 ha of the dry season and 886 ha of secondary corps. For the normal year is 800 ha of rice and 935 ha of secondary corps. By using dynamic programming, the profit for enough years is Rp. 4,361,274,415.23 with an increase of 23.28%. Bendung Gembleng terletak di antara Desa Aliyan, Kecamatan Rogojampi dan Desa Parijatah Wetan, Kecamatan Srono, Kabupaten Banyuwangi, merupakan bendung yang dibangun untuk menampung air dari aliran sungai Bomo. Bendung Gembleng digunakan untuk memenuhi kebutuhan irigasi sawah dengan luasan baku sebesar ±1735 Ha. Ketika musim kemarau daerah irigasi Gembleng sering mengalami kekeringan dan pembagian air tidak merata. Oleh karena itu, upaya optimasi menggunakan program dinamik dilakukan untuk optimalisasi air irigasi sehingga dapat meningkatkan keuntungan hasil panen. Hasil dari penelitian ini berupa kebutuhan air untuk irigasi tiap tahun andalan yaitu, padi musim hujan 7,599 m3/dt, padi musim kering I 7,93 m3/dt, palawija musim kering II 5,35 m3/dt untuk tahun cukup. Pola tata tanam optimal yang diperoleh adalah padi, padi-palawija, dan palawija. Luas lahan optimum pada musim kering I yang dapat ditami pada tahun cukup untuk padi 849 ha dan palawija 886 ha. Keuntungan maksimal yang dapat diperoleh dari tiap tahun andalan yaitu sebesar Rp. 4.361.274.415,23 dengan peningkatan 23,28 % pada tahun cukup.
Perbadingan Estimasi Curah Hujan MRR dan TRMM 3B42 Sebagai Input Model Hidrologi HBV Studi Kasus DAS Bedadung Muhamad Zulvi Alhamda; Entin Hidayah; Wiwik Yunarni
Rekayasa Sipil Vol 14, No 2 (2020)
Publisher : Department of Civil Engineering, Faculty of Engineering, University of Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.rekayasasipil.2020.014.02.5

Abstract

The limitations of spatial and temporal distribution of rain gauge networks causes inaccuracies in prediction of hydrological modeling. The availability of satellite rain data products is a potential to overcome this limitation. This studies objective is to compare the quality of rain data from the recording of the Manual Rainfall Recorder (MRR) with satellite data TRMM 3B42 which is entered in the HBV hydrological modeling. Calibration results shows that HBV modeling performance with MRR rain data input is better than TRMM. R2 and NSE values from MRR rain data input were 0.7153 and 0.7133 respectively with a mean error of 89 (mm / year). While the R2 and NSE values of the TRMM 3B42 satellite rain data input were 0.57 and 0.55 with a mean error of 305 (mm / year), respectively.
Application of recursive digital filter (RDF) methods for baseflow separation: study at Brantas watershed Indarto Indarto; Elida Novita; Sri Wahyuningsih; Nur Defitri Herlinda; Entin Hidayah
Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan (Journal of Natural Resources and Environmental Management) Vol. 9 No. 3 (2019): Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan
Publisher : Graduate School Bogor Agricultural University (SPs IPB)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/jpsl.9.3.626-640

Abstract

Baseflow is an important component affecting the availability of water in the river during the dry season. Availability of water in the dry season is useful for water resources management. This research aims to test and to compare six recursive digital filters (RDF) methods for calculating baseflow and baseflow index. This research was conducted in Brantas Watershed. Two outlets (sub-watersheds) located at Kertosono and Ploso were used.  Daily discharge from 1996 to 2015 of the two outlets above was used as main input for this study. While rainfall data were used to determine the calibration period. The sequence procedures of this research, consist of: (1) inventory of daily discharge and rainfall data, (2) data processing, (3) calibration, (4) validation, and (5) evaluation of models’ performances.  Six (6) methods of baseflow separation based on recursive digital filters were evaluated. The calibration process was carried out for periods 1996 to 2005.  The periods from July to September was assumed to be the peak of the dry season and then selected for calibration process.  The parameter values were calibrated using the data from dry season for each year. Furthermore, the average value of parameters obtained from calibration period then used to separate baseflow in validation process (periods 2006 to 2015). The result of separation both in calibration and validation are then evaluated using root mean square error (RMSE), coefficient of determination (R²) and FDC. This research shows that the Lyne-Hollick and EWMA filters perform better than other methods. In Brantas Kertosono sub-watershed, the optimal parameter value for Lyne Hollick algoritmh (αly) = 0.995 dan for EWMA filter (αew) = 0.003 and in Brantas Ploso sub-watershed (αly ) = 0.99 dan (αew) = 0.003.
Prediksi Laju Sedimentasi Pada Sungai Jatiroto Hajar Crisia Cahyani; Entin Hidayah; Retno Utami Agung Wiyono; Gusfan Halik; Wiwik Yunarni Widiarti
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%.
PEMETAAN CEPAT GENANGAN BANJIR MENGGUNAKAN TEKNOLOGI REMOTE SENSING Tedy Pranadiarso; Entin Hidayah; Gusfan Halik
Rekayasa Sipil Vol. 16 No. 2 (2022): Rekayasa Sipil Vol.16. 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.2022.016.02.9

Abstract

The existence of a flood inundation rapid map is needed in flood mitigation. This research is intended to map flood inundation quickly by utilizing satellite image technology. Sentinel 2 Level 1C technology uses before and after the flood. The extraction process uses the methods of NDWI (Normalized Difference Water Index) and MNDWI (Modified Normalized Difference Water Index). The result is treated with a threshold value by dividing the pixel value into flooded and unflooded areas. The performance model shows that the MNDWI method is more accurate than the NDWI method in producing flood inundation maps. Thus, the results of the MNDWI method are practical and able to map flood inundation quickly. 
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 | Full PDF (3152.051 KB) | 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.
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 | Full PDF (3462.933 KB) | 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
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 | Full PDF (3894.744 KB) | 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
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 | Full PDF (3813.891 KB) | 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).