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All Journal J-Sil (Jurnal Teknik Sipil dan Lingkungan) Jurnal Tataloka 3BIO: Journal of Biological Science, Technology and Management
Asep Suheri
School Of Life Sciences And Technology, Bandung Institute Of Technology
Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Earth & Planetary Sciences Engineering Immunology & microbiology Neuroscience Transportation

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Model Prediksi Kebutuhan Air Bersih Berdasarkan Jumlah Penduduk di Kawasan Perkotaan Sentul City Asep Suheri; Cecep Kusmana; Moh Yanuar J Purwanto; Yudi Setiawan
Jurnal Teknik Sipil dan Lingkungan Vol. 4 No. 3: Desember 2019
Publisher : Departemen Teknik Sipil dan Lingkungan, IPB University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (364.025 KB) | DOI: 10.29244/jsil.4.3.207-218

Abstract

This research aims to create a model for predicting clean water need in the urban area Sentul City currently and next 30 (thirty years). To create the model, it is required data which are useful for forecasting the inhabitant number year to year. There are some general-used models for forecasting the inhabitant number, including to arithmatic, exponential, and least square method. The inhabitant number forecast in this research used an exponential method, as recommended in the Guidance of River Area Water Resource by Directorate General of Water Resource in 2001. The researcher used the software Stella 9.0.1 for simplifying the modeling process, projecting the inhabitant number, predicting the clean water need, and figuring the graphics. Besides this software, Excel programme was also used. According to data analysis result, the equation models to predict water need (m3/year) in Sentul City are stated as follows; for rural area inhabitants: YDn = 1 927 309 (1 + 0.0303)n; for urban area inhabitants: YKn = 1 808 940 + 217 248*n;  and for total inhabitants: YSCn = YDn + YKn.Keywords: inhabitant number, geomeric method, clean water need prediction
Implementasi Rencana Induk Pengembangan Kawasan Sentul City Terhadap Limpasan Puncak dan Konstribusi Banjir Asep Suheri; Cecep Kusmana; Moh Yanuar J Purwanto
TATALOKA Vol 23, No 1 (2021): Volume 23 No. 1, February 2021
Publisher : Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/tataloka.23.1.39-56

Abstract

The purpose of this study is to create a peak runoff model in urban SC areas based on existing land use/land cover (LU / LC) and a master plan. To calculate peak runoff (PRO) using the rational method. To find out the current LU / LC through existing SPOT-6 image analysis in 2017, using supervised classification method with an estimation of gamma distribution parameters with the maximum likelihood method using QGIS 2.8 software, SAGA GIS, and Arc -GIS 10.4.1. Based on the results of image analysis obtained twelve types of LU, which can be grouped into three types of LC, namely 33% of developed land, 65% of vegetated land (RTH), and 2% of blue open land (RTB). The analysis shows that the implementation of the master plan increases PRO. With the increase in PRO will contribute to flooding in the downstream areas, consequently the developer must be responsible for reducing the PRO.
Integrated utilization of land and vegetation in secondary forest areas Asep Suheri; Rina W. Cahyani; Asef K. Hardjana; Endah Sulistyawati
3BIO: Journal of Biological Science, Technology and Management Vol. 1 No. 1 (2019)
Publisher : School of Life Sciences and Technology, Institut Teknologi Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5614/3bio.2019.1.1.2

Abstract

Local community's activities around Labanan forest area for specific purposes already make the area unsafe. Responding to this, land productivity optimization with agroforestry patterns might be applied in the area. Hopefully, through these systems, utilization and productivity of natural forests in Labanan forest area might be optimized in producing food, energy and water conservation, outside its regular function as forestry area. The purpose of this study was to determine the condition of the land under treeing forest; generate analytical data of vegetation in the research plots; and determine carbon stocks undergrowth. The research method was soil sampling, vegetation analyzes and sampling of undergrowth plant biomass. Based on laboratory analysis result, soil pH ranging between 5-7, N Total <0.3%, P Total <49 mg P2O5.100g-1, K Total between 2-8 mg K2O.100g-1, and the organic carbon content on soil <2.1%. The vegetations dominated by cunday (Saraca declinata) as many as 43 trees/ha with basal area 21.55 m2. ha-1. The highest important value index (IVI) shown by the type of vegetation cunday (Saraca declinata) amounted to 51.43% and the lowest was shown by bintangur (Callophyllum sp) amounted to 2.89%. Stock carbon undergrowth on research area ranged from 1.470 to 1.752ton C. ha-1.
Co-Authors Asef K. Hardjana C Kusmana Cecep Kusmana Endah Sulistyawati Moh Yanuar J Purwanto Moh Yanuar J Purwanto MYJ Purwanto Rina W. Cahyani Y Setiawan Yudi Setiawan