cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
Arif Wijayanto
Contact Email
jpsl-ipb@apps.ipb.ac.id
Phone
+622518621262
Journal Mail Official
jpsl-ipb@apps.ipb.ac.id
Editorial Address
Pusat Penelitian Lingkungan Hidup (PPLH) Gedung PPLH Lantai 4 Jl. Lingkar Akademik Kampus IPB Darmaga, Bogor 16680 Jawa Barat, Indonesia Tel. +62-251-8621262, 8621085 Fax. +62-251-8622134
Location
Kota bogor,
Jawa barat
INDONESIA
Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan (Journal of Natural Resources and Environmental Management)
Published by Institut Pertanian Bogor
ISSN : 20864639     EISSN : 24605824     DOI : https://doi.org/10.29244/jpsl
Core Subject : Science, Agriculture, Social,
Agriculture, Biological Sciences & Forestry Earth & Planetary Sciences Environmental Science
JPSL publishes articles in fields: Environmental Policy and Management, Disaster Mitigation, Regional Planning, Land Resources Evaluation, Hidrology, Systems Modelling and Sciences, Water Pollution, Air Pollution, Environmental Technology, Ecotourism, Biodiversity, Environmental Economics, Public Communications, Social Sciences, Anthropology, Environmental Health
Arjuna Subject : Ilmu Lingkungan (semua ketegori) - Konservasi Alam dan Lahan
Articles 6 Documents
 1 
Search results for , issue "Vol. 2 No. 2 (2012): Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan (JPSL)" : 6 Documents clear
ANALISIS HUBUNGAN KODE-KODE SPBK (SISTEM PERINGKAT BAHAYA KEBAKARAN) DAN HOTSPOT DENGAN KEBAKARAN HUTAN DAN LAHAN DI KALIMANTAN TENGAH Indah Prasasti; Rizaldi Boer; Muhammad Ardiansyah; Agus Buono; Lailan Syaufina; Yenni Vetrita
Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan (Journal of Natural Resources and Environmental Management) Vol. 2 No. 2 (2012): Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan (JPSL)
Publisher : Graduate School Bogor Agricultural University (SPs IPB)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/jpsl.2.2.101

Abstract

Land and forest fire is one of causes ofland degradation in Central Kalimantan. Remote sensing dataapplications, especially READY-ARL NOAA and CMORPH data, are benefit forthe available climate observation data. The objectives of this research are: (1) to analyzis relationship between hotspots, FDRS and occurences of land and forest fire, and (2) to develop the estimation model of burned area from hotspot and FDRS codes. The result of this research showed that burned area can not be estimated by using number of hotspots. The drought code (DC) wich is one of FDRS codes has correlation with burned area. So, burned area can be estimated using drought code (DC) (R-sq = 58%) by using the following formula: Burned Area (Ha) = -62.9 + 5.14 (DC – 500).Keywords: land and forest fire, NOAA, CMORPH, hotspot
MODEL KONSERVASI SUMBERDAYA AIR DANAU TOBA Hotland Sihotang; M. Yanuar J. Purwanto; Widiatmaka Widiatmaka; Sambas Basuni
Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan (Journal of Natural Resources and Environmental Management) Vol. 2 No. 2 (2012): Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan (JPSL)
Publisher : Graduate School Bogor Agricultural University (SPs IPB)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/jpsl.2.2.65

Abstract

This study aims to design and build water resource conservation model with emphasis on technical, socio-economical,and ecological aspects involving extensive changes in land use, population growth, continuity of operation of the hydropower of Asahan and some other aspects of the catchment. Illustration of the water balance was made under the influence of land use and other economic activities. Modelling of water balance was constructed by the method of dynamic modeling systems using Powersim software. The water availability was analyzed using FJ.Mock method with variables derived from the analysis of the ecological condition of the catchment area of Lake Toba. The simulations ofwater balance and water level was performed for the condition without intervention variables and with intervention variables. The intervention variables was performed in pessimistic, moderat and optimistic scenario to provide an overview of conservation policy. The simulation of the water balance and lake water level indicate that either in the year of 2017-2057, the best scenario is between moderate and optimistic scenarios in the condition of the population growth between 0.8% - 1.0% per year, infiltration coefficient values between 0.40 to 0.45, the value of land cover factor between 0.25 to 0.3, while the flow ofwater released into the Asahan River of 91.69 m3/sec in average.Keywords: FJ. Mock, water balance, land cover factor value, Lake Toba
KORELASI NUTRIEN TERLARUT DENGAN STRUKTUR KOMUNITAS PLANKTON DI TAMBAK MANGROVE BLANAKAN, KAB. SUBANG Joni Haryadi; Hadiyanto Hadiyanto
Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan (Journal of Natural Resources and Environmental Management) Vol. 2 No. 2 (2012): Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan (JPSL)
Publisher : Graduate School Bogor Agricultural University (SPs IPB)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/jpsl.2.2.73

Abstract

Research potential of nutrients and their effects on plankton in the pond was done in mangrove [tambak terbuka (TB), tambak tumpangsari (TS), tambak tanah timbul (TT) and tambak perhutani (TP)] Blanakan. Data collection was dissolved nutrients (ammonium, nitrite, nitrate and phosphate) and plankton performed at each station using a bottle and plankton net sampler no. 25. The results showed that the concentration of ammonium, nitrite, nitrate and ranged 0,0075 to 0,6247 ppm, nitrite ranged 0,0109 to 0,0289 ppm, nitrate ranged 0,0150 to 0,1040 ppm and phosphate ranged 0,0097 to 0,1816 ppm. Diversity index of plankton in mangrove ponds Blanakan ranged 1,51 to 2,34, the equitabilty index ranged 0,66 to 0,89 and dominance index ranged 0,16 to 0,32 . The results of the regression analysis to dissolved nutrient to plankton structure community showed that dissolved nutrients can increase the abundance of plankton (80, 09 % and 67 %.), dominance index (9, 94 % and 7, 49%) but lowered its diversity (7, 76% and 11, 67 %.) and equitability of plankton (81, 20 % and 62, 92 %).Keywords: correlation, nutrients, plankton, mangrove pond, Blanakan
DETEKSI KONDISI KETAHANAN PANGAN BERAS MENGGUNAKAN PEMODELAN SPASIAL KERENTANAN PANGAN Dede Dirgahayu; I Nengah Surati Jaya; Florentina Sri Hardiyanti Purwadhi; Muhammad Ardiansyah; Hermanu Triwidodo
Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan (Journal of Natural Resources and Environmental Management) Vol. 2 No. 2 (2012): Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan (JPSL)
Publisher : Graduate School Bogor Agricultural University (SPs IPB)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/jpsl.2.2.85

Abstract

In 2005 and 2009, BKP and WFP has provided food security conditions in Indonesia on Food Insecurity Map which were developed using food availability, food accessibility, food absorption and food vulnerability. There are 100 out of 265 districts in Indonesia or about 37,7%, which fall into the vulnerable to very vulnerable categories, where 11 districts were found in Java. The main objective of this research is to develope a spatial model of the rice production vulnerability (KPB) based on Remote Sensing and GIS technologies for estimating the food insecurity condition. Several criteria used to obtain food vulnerability information are percentage level of green vegetation (PV), rainfall anomaly (ACH), land degradation due to erosion (Deg), and paddy harvest failure due to drought and flood in paddy field (BK). Dynamic spatial information on the greenness level of land cover can be obtained from multitemporal EVI (Enhanced vegetation Index) of MODIS (Moderate Resolution Imaging Spectroradiometer) data. Spatial information of paddy harvest failure caused by drought and flood was estimated by using vegetation index, land surface temperature, rainfall and moisture parameters with advance image processing of multitemporal EVI MODIS data. The GIS technology were used to perform spatial modelling based on weighted overlay index (multicriteria analysis). The method for computing weight of factors in the vulnerability model was AHP (Analytical Hierarchy Process). The spatial model of production vulnerability (KPB) developed in this study is as follows: KPB = 0,102 PV + 0,179 Deg + 0,276 ACH + 0,443 BK. In this study, level of production vulnerability can be categorized into six classes, i.e.: (1) invulnerable; (2) very low vulnerability; (3) low vulnerability; (4) moderately vulnerable; (5) highly vulnerable; and (6) extremely vulnerable. The result of spatial modelling then was used to evaluate progress production vulnerability condition at several sub-districts in Indramayu Regency. According to the investigation results of WFP in 2005, this area fall into moderately vulnerable category. Only few sub-districts that fall into highly and extremely vulnerable during the period of May ~ August 2008, namely: Kandanghaur, Losarang, part of Lohbener, and Arahan.Keywords: remote sensing, GIS, food vulnerability, vegetation index, AHP
MODEL PENGENDALIAN MUTU LAHAN KERING BERBASIS PEMBERDAYAAN MASYARAKAT DI KABUPATEN PONOROGO Rimun Wibowo; Sjafri Mangkuprawira; Asep Saefuddin; Sumarjo Gatot Irianto
Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan (Journal of Natural Resources and Environmental Management) Vol. 2 No. 2 (2012): Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan (JPSL)
Publisher : Graduate School Bogor Agricultural University (SPs IPB)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/jpsl.2.2.94

Abstract

To control quality of rainfed areas as well as improvement of farmers’ welfare is efforts already has been done by local government (Ponogoro) however it’sstill not success yet because it used to partial approach. Therefore, it is very important to research and develop model how to control quality of rainfed based on community empowerment with integrated (system) ap­proach.The location of research is in Ponorogo Districtwith 326 respondens, consist of 6experts, 20 linkage agencies staff and 300 farmers. Beside useAnalytical Hierarchy Process (AHP), Interpretative Structural Modelling (ISM), and System, this re­search also use univariat and bevariate analyze (Chi- Square and Structure Equation Model- SEM).Based on data and informa­tion that collected and analyzed, this research develop model that reflected the the real situation (fact), that can be simulated and validated. The model is established with system approach of population, local government services and ecology. The model vali­dated by absolute mean error (AME) and absolute variation error (AVE) that reflected variance between actual and value from model less than 10%, it show the model is a valid.This mean model able to simulate any changing of rainfed areas quality con­trol both in short or long term period.Other significant factors that related with rainfed areas quality control is farmers know­ledge (p-value= 0,030) and farmers behavior (p-value=0,040).The empowerment of farmers indicated by food and nutrition security (γ = 1), settlement and sanitation security (γ = 0.23), healthy security (γ = 0.01)and education security (γ = 0.24). The empowerment of farmers influenced by coping strategy (β=0.41), that reflected by how farmer survive in production, consump­tion and marketing of agriculture with respective of γ is0.59, 0.27, 037 and 0.42. In line with these statistic analysis AHP, ISM results and validation model, this research formulated empowerment policy focus on life skill development through farmer group. In the beginning process of life skill development focus on soft skill and then hard skill later on up to achieve sustainable self help group in managing their rainfed areas.Keywords: rainfed, quality, control, empowerment, model, system, coping strategy
PEMANFAATAN BAGASE TEBU DAN LIMBAH NANAS SEBAGAI BAHAN BAKU PENGHASIL BIOGAS Hariyadi Hariyadi; Tri Retno Dyah Larasati; Siswanto Siswanto
Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan (Journal of Natural Resources and Environmental Management) Vol. 2 No. 2 (2012): Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan (JPSL)
Publisher : Graduate School Bogor Agricultural University (SPs IPB)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/jpsl.2.2.56

Abstract

Sugarcane bagasse and pineapple waste were selected as agricultural wastes, by the process of anaerobic fermentation, as well as to study the effect of addition of cow dung, on gas production from sugarcane bagasse, pineapple waste and both blendings. The batch experiment was carried out to use as substrat in 20 L digester for nine treatment of sugarcane bagasse (Bg), pineapple waste (Ns), both blendings (BNs). Completely Randomized experiment method used at the laboratory scale, which intend to found the best combination between Bg-25; Bg-30; Bg-35; Ns-25; Ns-30; Ns-35; BNs-25; BNs-30 and BNs-35. The result showed that during 48 anaerobic fermentation days, the high biogas production of Ns-35; BNs-30 and BNs-35 were 17,2 L; 12,6 L and 12,3 L, respectively. The parameter of TS, VS and COD were decreased, mean while parameter of VFA was increased at initially, the 20 day and 40 day. Quantitative analysis of the flammable biogas from some of the combination showed high methane contents. The Bg-25 had 75% CH4content, BNs-35 had 74% CH4 content and Bg-30 had 70 % CH4 content. The result of semi-continuos scale of 300 L digester showed that the optimal performance of bioreactor was feeding rate at 1,4 kg TS/L/day; 2,3 kg TS/L/day and  4,1 kg TS/L/day which resulted in biogas  64.4 L/ day with methane content is 70 %.Keywords: sugarcane bagasse, pineapple waste, biogas, methane

Page 1 of 1 | Total Record : 6

 1 

Filter by Year

2012 2012


Reset
Filter By Issues
All Issue Vol 13 No 3 (2023): Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan (JPSL) Vol 13 No 2 (2023): Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan (JPSL) Vol 13 No 1 (2023): Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan (JPSL) Vol 12 No 4 (2022): Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan (JPSL) Vol 12 No 3 (2022): Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan (JPSL) Vol 12 No 2 (2022): Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan (JPSL) Vol. 12 No. 1 (2022): Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan (JPSL) Vol. 11 No. 4 (2021): Journal of Natural Resources and Environmental Management Vol. 11 No. 3 (2021): Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan (JPSL) Vol. 11 No. 2 (2021): Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan (JPSL) Vol. 11 No. 1 (2021): Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan (JPSL) Vol. 10 No. 4 (2020): Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan (JPSL) Vol. 10 No. 3 (2020): Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan (JPSL) Vol 10 No 3 (2020): Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan (JPSL) Vol. 10 No. 2 (2020): Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan (JPSL) Vol 10 No 2 (2020): Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan (JPSL) Vol. 10 No. 1 (2020): Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan Vol. 9 No. 4 (2019): Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan Vol. 9 No. 3 (2019): Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan Vol. 9 No. 2 (2019): Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan (JPSL) Vol. 9 No. 1 (2019): Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan (JPSL) Vol. 8 No. 3 (2018): Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan (JPSL) Vol. 8 No. 2 (2018): Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan (JPSL) Vol. 8 No. 1 (2018): Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan (JPSL) Vol. 7 No. 3 (2017): Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan (JPSL) Vol. 7 No. 2 (2017): Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan (JPSL) Vol. 7 No. 1 (2017): Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan (JPSL) Vol. 6 No. 2 (2016): Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan (JPSL) Vol. 6 No. 1 (2016): Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan (JPSL) Vol. 5 No. 2 (2015): Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan (JPSL) Vol. 5 No. 1 (2015): Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan (JPSL) Vol. 4 No. 2 (2014): Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan (JPSL) Vol. 4 No. 1 (2014): Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan (JPSL) Vol. 3 No. 1 (2013): Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan (JPSL) Vol. 2 No. 2 (2012): Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan (JPSL) Vol. 2 No. 1 (2012): Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan (JPSL) Vol. 1 No. 2 (2011): Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan (JPSL) Vol. 1 No. 1 (2011): Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan (JPSL) More Issue