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PEMODELAN REGRESI LINIER BERGANDA DAN ESTIMASI BIAYA PERBAIKAN LERENG MENGGUNAKAN SOIL NAILING (STUDI KASUS : JALAN MUARA ENIM – SP. SUGIHWARAS) Juliantina, Ika; Sutejo, Yulindasari; Butarbutar, Samuel; Agustien, Melawaty; Adhitya, Bimo Brata; Alia, Febrinasti
CANTILEVER Vol 6, No 2 (2017): Cantilever
Publisher : Jurusan Teknik Sipil & Perencanaan Fakultas Teknik Universitas Sriwijaya

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Abstract

Muara Enim road segment SP. Sugihwaras very potential to occur landslide based on its location which is on the edge of the river. Recorded by the National Road Implementation Institute (BBPJN) III has been a slope grid in 2014. Slope improvement efforts undertaken by the Ministry of Public Works using a combination of gabion not too successfully overcome the problem. In addition to the strength element of a construction work, the cost and timing of the implementation are also important considerations in planning. Slope at 173 + 535 - Km 173 + 705 along 170 m using soil nailing planned three nails with 19 mmnail diameter and angular slope of 20° with variation of nail length, nail installation spacing, safety factor (SF) and estimated working time to the cost. Using the SPSS.16.0 program, the variations are modeled by nine samples as multiple linear regression equations. Based on the SPSS output, then tested the classical assumption and feasibility test model which produced the model: Cost (million) = - 3159,475 - 54,097 length - 1354,256 distance + 5188,127 SF + 26,483 time. The Budget Plan (RAB) covers preparatory work, drainage system, soil nailing, and shotcrete. An efficient cost estimate of 8 m length nail, 1.5m installation distance, 1.5 safety factor and 64-day working time resulted in a cost of Rp. 3.853.485.500,00 (Three billion eight hundred fifty three million four hundred eighty five thousand rupiah).
PERENCANAAN KOLAM RETENSI UNTUK PENGENDALIAN BANJIR DI RSMH KOTA PALEMBANG Rhaptyalyani, Rhaptyalyani; Ilmiaty, Reini Silvia; Alia, Febrinasti
CANTILEVER Vol 7, No 1 (2018): Cantilever
Publisher : Jurusan Teknik Sipil & Perencanaan Fakultas Teknik Universitas Sriwijaya

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Abstract

Mohammad Hoesin general hospital (RSMH) is a public hospital owned by the Government of Palembang located at Jl. Sudirman . It is located in a densely populated area with total built area of ± 20 ha. The absence of adequate infiltration area plus improper drainage condition and capacity caused floods as high as ± 30 cm in the parking lot which is at the lowest elevation. In order to overcome these problems, RSMH took the initiative to build a retention pond. This study aims to analyze the feasibility of retention pond development plan along with its drainage network through the duflow modeling studio (DMS) approach and spatial analysis of Geographic Information System (GIS). Total catchment for the study area covers the area of ± 46 Ha with the maximum runoff discharge obtained from the modeling results Q = 0,2 m3/s while the waste water effluent that is discharged into the drainage channel Q = 0,0021 m3/s is not too significant therefore can be ignored. Capacity of retention pond with minimum area of 0,7 Ha is sufficient to serve the catchment area, but it should be considered the use of pumps with a capacity of at least 150 lt/s to overcome high elevation difference.
Identifikasi Kawasan Potensial Untuk Penerapan Sistem Rainwater Harvesting (RWH) di Kota Palembang dengan Pendekatan Geographic Information System (GIS) Imroatul Chalimah Juliana; Febrinasti Alia; M. Ichwanul Falah; Taufik Ari Gunawan
Cantilever: Jurnal Penelitian dan Kajian Bidang Teknik Sipil Vol 9 No 1 (2020): Cantilever
Publisher : Department of Civil Engineering and Planning, Faculty of Engineering, Sriwijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1273.518 KB) | DOI: 10.35139/cantilever.v9i1.36

Abstract

Rainwater harvesting system (RWH) implementation may be a solution to maximize the water availability and reduce the runoff volume in Palembang City. For successful implementation, it is necessary to identify potential areas for RWH implementation. This study aims to identify areas in Palembang that are potential for implementing the RWH system. An analysis of parameters that affect the classification also conducted. This study used a geographic information system (GIS) approach using rainfall, slope, land use, and soil type parameters which are structured in a hierarchy using the analytical hierarchy process (AHP). Based on the weighted overlay method, it can be concluded that a very potential area for RWH implementation dominated with a wet area, flat slope, dense residential area and the type of soil which is not susceptible to infiltration. Whereas the medium and non-potential areas are dominated by steep and very steep slopes as well as unoccupied land use. Areas of high potential and potential reach 18.17% and 66.14% respectively. While the medium and not the potential is 13.66% and 2.03%. Areas of great potential are in the Buah, Kidul, Sekanak, Sriguna, Bendung, and Selinca Sub Watershed. Non-potential areas are only available in small area in DAS Gandus, Gasing, and Lambidaro Sub Watershed.
Analisis Kapasitas Kolam Retensi Untuk Pengendalian Banjir di DAS Buah Kota Palembang Febrinasti Alia; Sakura Yulia Iryani; Nuzula Ramadhanti
Cantilever: Jurnal Penelitian dan Kajian Bidang Teknik Sipil Vol 9 No 2 (2020): Cantilever
Publisher : Department of Civil Engineering and Planning, Faculty of Engineering, Sriwijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1995.12 KB) | DOI: 10.35139/cantilever.v9i2.44

Abstract

According to Public Works Office of Palembang City, Buah Watershed is listed as one of priority areas that require immediate flood management actions. Flat terrain, high rainfall intensity, tidal fluctuation worsens by massive land use change, are major causes that increase surface water runoff. Therefore, retention basins as one of technical solutions are expected to accommodate runoff discharge and reduce flood. This study aims to analyze the existing hydrological conditions of Buah watershed and to simulate the effectiveness of designed retention basins on peak flow reduction. Hydrological analysis using SCS Unit Hydrograph Model, HEC-HMS combine with spatial analysis using GIS in 26 subcatchment areas resulted on peak discharges range from 1,27 m3/s – 15,71 m3/s. Furthermore, there are ​​12 proposed retention basins within study area ranges from ​​0,580 Ha – 3,967 Ha that are designed to reduce the peak discharge. Simulation result of flood discharge reduction using HEC-HMS indicates that the effectiveness of retention basins in proposed locations varies from 0,03% - 80,05% depending on watershed areas, land availability, and the depth of retention basins.
Evaluating the Technical Feasibility of Retention Basins for Flood Control in Palembang City Febrinasti Alia; Muhammad Baitullah Al Amin; Bimo Brata Aditya; Citra Indriyati
Science and Technology Indonesia Vol. 4 No. 2 (2019): April
Publisher : Research Center of Inorganic Materials and Coordination Complexes, FMIPA Universitas Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (2199.524 KB) | DOI: 10.26554/sti.2019.4.2.40-51

Abstract

Flood control is one of the prevention methods which involves various engineering sciences and is unique. One of structural flood control methods is retention basin with the goal of containing a certain storm event flow volume and obtaining a specific peak flow reduction. This paper’s objective is to describe how to assess the performance of retention basin physical components quantitatively on seven retention basins in Palembang City. The reference and the parameter used in this research are referred to Drainage Systems Assessment Design (Vadlon, 2011) that is based on Standard Procedure of Retention Basins and Polders Construction according to Public Works Ministry of Cipta Karya Directorate General and the Regulation of Public Work Ministry No.32/PRT/M/2007. The result of the assessment is that there are three retention basins which are in good condition, namely Kambang Iwak Besak (63,9%), Simpang Polda (60,34%), and Kambang Iwak Kecil (56,8%); meanwhile the other four basins are in bad conditions, namely RS. Siti Khodijah (43,01%), Palembang Icon (41,93%), Kemang Manis (7,03%), and Brimob (0,94%). Therefore, the assessment of the retention basins towards its effectiveness on flood controlling and handling priority level is done by hydraulic modeling simulations and GIS. 4. Based on the inundation priority assessment of simulated flood depth and duration, it can be inferred that the retention basin of Kambang Iwak Besak, Kambang Iwak Kecik, Palembang Icon, RS Siti Khodijah, and Kemang Manis have low priority handling level. Meanwhile, Brimob and Simpang Polda retention basins have high priority handling level.
Utilization of GPM Satellite and PERSIANN Satellite Data for Estimated Monthly Rainfall in South Sumatera Sakura Yulia Iryani; Febrinasti Alia; Muhammad Abiyyi Tauhid; Ahmad Muhtarom; Arie Putra Usman
U Karst Vol 6, No 2 (2022): NOVEMBER
Publisher : Kadiri University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30737/ukarst.v6i2.3482

Abstract

Rainfall data are widely used to predict regional rainfall. Limited rainfall data is a problem that has an impact on decreasing accuracy, one of which is in the area of South Sumatra. This can be overcome by using satellites. However, to utilize satellitebased rainfall data, it is necessary to carry out an analysis to determine the accuracy of rainfall data. This research aims to evaluate rainfall data from the GPM satellite and PERSIANN satellite with validation and calibration analysis so that the value of rainfall data from the Satellite is close to the measurement result and can be used to estimate monthly rainfall. In this study, the data used were measured monthly rainfall in the field, GPM, and PERSIANN obtained from 9 South Sumatra districts for 2019 until 2021. The research method was validated using correlation coefficient, Root Mean Square Error (RMSE), and Mean Absolute Error (MAE). Calibration is done using a combination method, a solver algorithm in Microsoft Excel, and manually. The estimated monthly rainfall analysis is carried out using the isohyet method with the IDW interpolation method. The research results were obtained based on the validation and calibration of monthly rainfall data showing that data from the GPM showing it is closer to the results of field rainfall measurements than the data obtained from PERSIANN satellite. Based on the results of research on satellite data that has been calibrated, it can be used to estimate monthly rainfall in the South Sumatra Region