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All Journal MANAJEMEN HUTAN TROPIKA Journal of Tropical Forest Management Jurnal Silvikultur Tropika (JST) MEDIA KONSERVASI JURNAL ANALISIS KEBIJAKAN KEHUTANAN Journal of Degraded and Mining Lands Management Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan (Journal of Natural Resources and Environmental Management) Jurnal Tataloka Jurnal Penelitian Sosial dan Ekonomi Kehutanan Jurnal Kolaboratif Sains JURNAL MANAJEMEN BISNIS Community Development Journal: Jurnal Pengabdian Masyarakat JIM: Jurnal Ilmiah Mahasiswa Pendidikan Sejarah Mosintuwu Jurnal Pengabdian Kepada Masyarakat
Hendrayanto .
Department Of Forest Management, Faculty Of Forestry, Bogor Agricultural University, IPB Dramaga Campus, PO Box 168, Bogor 16680, Indonesia
Agriculture, Biological Sciences & Forestry Humanities Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Earth & Planetary Sciences Economics, Econometrics & Finance Education Energy Environmental Science Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Physics Public Health Social Sciences

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Journal : MEDIA KONSERVASI

 1 
Calculation Methods of Topographic Factors Modification Using Data Digital Elevation Model (DEM) To Predict Erosion Hengki Simanjuntak; Hendrayanto .; Nining Puspaningsih
Media Konservasi Vol 22 No 3 (2017): Media Konservasi Vol. 22 No. 3 Desember 2017
Publisher : Department of Forest Resources Conservation and Ecotourism - IPB University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (821.396 KB) | DOI: 10.29244/medkon.22.3.242-251

Abstract

Erosion  is a crucial information for sustainable management of land resources within a particular watershed. The information of erosion is needed for land resource management planning, and is generally counted by USLE (Universal Soil Loss Equation). One of the parameters in USLE is topographic factor (LS). The determinations of LS in erosion estimation model are vary, both in terms of LS factor equation, as well as in terms of the length of the slope (λ) and slope (s) measurements. There are at least 3 methods used to calculate slope factors in spatial operation, i.e (1) Input of the LS Value from Table (INT), (2) Flow accumulation, and (3) Cell Size. The study was designed to obtain a method of calculation that gives the smallest topographic factor and in order to obtain a LS factors that similar to the slope information. Research location in Kampa Sub watershed, The LS determination in Kampa Sub watershed basically are with (INT) and without calculating λ and s. INT method is determination without calculating λ and s, LS value is generate from the contour map and DEM SRTM by giving LS value from table reference of LS value. The Flow Accumulation and Cell Size are determination of LS Value by calculating λ and s. The Flow Accumulation method modifies the determination of λ and s using the middle value of s, λ per land use, and λ and s per cell. Cell Size method determines λ using the amount of cell size. The results showed that the “cell size” and "INT" methods were the best method for topographic factor (LS) calculation, because LS value of “cell size” and "INT" methods are smaller than the flow accumulation method and the LS value similar to the slope information. LS value from that methods generated weighted value in average of 0,55−0,58. Keywords: cell size, flow accumulation, flow direction, the length of the slope, USLE
Optimal Land Use for Rainfall-Runoff Transformation in Wae Ruhu Watershed Laturua, Aly; Hendrayanto, .; Puspaningsih, Nining
Media Konservasi Vol. 23 No. 1 (2018): Media Konservasi Vol. 23 No. 1 April 2018
Publisher : Department of Forest Resources Conservation and Ecotourism - IPB University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (805.349 KB) | DOI: 10.29244/medkon.23.1.52-64

Abstract

Flooding hit the island of Ambon in 2012 and 2013. Many analyzes has been developed to estimate the cause of the flooding. The study aims topredict optimal land management for reducing run-off. The method is simulation of CN value based on spatial analysis on watershed characteristics.The rainfall can’t be managed by watershed. The level of run-off can be determined by CN value that depends on the type of land cover. The resultshows that the land cover has changed about 90 ha, with the higher rainfall intensity is 2.118 in 2013. The result of simulation indicated that tochange of shrub and bare land, mix dryland forest, and secondary dryland forest with agroforestry. Agroforestry can decrease run-off amount 0,86%.The change of land cover and high rainfall are the main factors that caused the flooding in 2012 and 2013. It is necessary to add a rainfallobservation station so that the observation of surface flow can be done well.Keywords: curve number, land cover change, watershed 
Co-Authors Ahsana Riska Basuki Wasis Bejo Slamet Bramasto Nugroho Budi Kuncahyo Dudung Darusman Dudung Darusman Erizal , Fata, Yulia Amirul Fitri Nurfatriani Fitta Setiajiati Hardjanto Hardjanto Hardjanto Hengki Simanjuntak Hermila A Husaini, Haerany I Nengah Surati Jaya Indra Farman Kamidin, Masruhi Kartodihardjo, Hariadi Khabibi Nurrofi' Pratama Kosugi Ken'ichirou Kukuh Murtilaksono Laturua, Aly Mizumaya Takahisa Muhammad Buce Saleh Nana Mulyana Arifjaya Nining Puspaningsih Nunung Parlinah Nunung Parlinah Nur Febrianti Nurdiyanti*, Aina Omo Rusdiana P Purwowidodo Rahmat Taufik R.L Bau Rudy Dwi Siswantoro Salman, Asnawi Soedomo, Sudarsono Suria Darma Tarigan Syuaib, Moh Rusly Takeshi Katsumi Wahyullah Wahyullah Yuli Suharnoto Yulia Amirul Fata Yulia Amirul Fata