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All Journal MANAJEMEN HUTAN TROPIKA Journal of Tropical Forest Management Jurnal Silvikultur Tropika (JST) MEDIA KONSERVASI Forum Pasca Sarjana Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan (Journal of Natural Resources and Environmental Management) Jurnal Biologi Tropis Jurnal Penelitian Pengelolaan Daerah Aliran Sungai Journal of Environmental Engineering & Waste Management Jurnal Penelitian Kehutanan Bonita Jurnal Sylva Lestari Aceh International Journal of Science and Technology Jurnal Penelitian Kehutanan Wallacea

Nining Puspaningsih

Fakultas Kehutanan Institut Pertanian Bogor Jl. Lingkar Akademik, Kampus IPB Dramaga, PO Box 168, Bogor 16680, Jawa Barat, Indonesia.

Author-ID : 350364

Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Education Energy Engineering Environmental Science Immunology & microbiology Materials Science & Nanotechnology Social Sciences

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MODEL SPASIAL DEFORESTASI DI KABUPATEN KONAWE UTARA DAN KONAWE PROVINSI SULAWESI TENGGARA Hariaji Setiawan; I Nengah Surati Jaya; Nining Puspaningsih
Media Konservasi Vol 20 No 2 (2015)
Publisher : Department of Forest Resources Conservation and Ecotourism - IPB University

Deforestation is now becoming a global concern due to its effect on the global warming. This paper describes a dynamic change of deforestation and spatial modeling for predicting deforestation in North Konawe and Konawe Districts, Southeast Sulawesi Porvince. The study objective is to examine and analyze the variety of explanatory variables related to the process of deforestation at each deforestation typology. The data used for the analysis include Multitemporal Landsat images acquired in 1997, 2000, 2005, 2010 and 2013, the existing land cover maps published by the Ministry of Forestry, statistical data and ground truth. All district within the study area were classified into two typologies on the basis of social and economic factors by using clustering approaches, i.e., low-speed and high-speed deforestation district. To analyze model and predictions using land cover data in 2005, 2010 and 2013. The study found that the spatial model of deforestation for low-speed deforestation area is Logit (Deforestation) =– 1.0998 – 0.017031*Kpd05(population density) – 0.000095*JJ(distance from road) – 0.000419*JS(distance from the river) – 0.002057*JH05(distance from forest edge) – 0.00001*JPmk05(distance from settlements) – 0.000019*JPlc05(distance to the mixture of dry land agriculture)+0.016305*S(slope)+0.084348*E(elevation), high-speed deforestation area is Logit (Deforestation) =– 1.2361– 0.062622*Kpd05(population density) – 0.000008*JJ(distance from road) – 0.00001*JS(distance from the river) – 0.005443*JH05(distance from forest edge) – 0.000077*JPmk05(distance from settlements) – 0.000067*JPlc05(distance to the mixture of dry land agriculture)+0.469883*S(slope)+0.300739*E(elevation). The low-speed and high-speed deforestation models had ROC (Relative Operating Characteristics) of 93.48% and 97.71%, respectively. The study concludes that typology could be made on the basis of population density and the amount of dry land with wetland. The results of this study showed that there are eight explanatory variables that significantly affect deforestation probability, namely population density, distance from road, distance to the river distance from the forest edge, distance to settlement, distance to the mixture of dryland agriculture, slope, elevation and. Keywords: deforestation, konawe, logistic model, spatial model, typology

PENDUGAAN PERUBAHAN STOK KARBON DI TAMAN NASIONAL BROMO TENGGER SEMERU Rahimahyuni Fatmi Noor'an; I Nengah Surati Jaya; Nining Puspaningsih
Media Konservasi Vol 20 No 2 (2015)
Publisher : Department of Forest Resources Conservation and Ecotourism - IPB University

Recently a comprehensive source of data and information on carbon storage in various types of forest ecosystems and other land use in Java Island are still limited. This study was carried out in a conservation area of Bromo Tengger Semeru National Park (TNBTS) that represents the ecosystem types of lowland rain forest, sub-montane forests and mountain forests in Java. The information on carbon sequestration and carbon stocks at TNBTS becomes important. The main objective of this study was to estimate biomass and carbon storage in various types of forests in TNBTS using allometric approaches. The additional objectives were to estimate carbon storage on various land cover and to estimate the changes in carbon storage by land cover changes during the period 1990, 2000 and 2013. The measurement of forest carbon include aboveground, understorey, necromass and litter pools covering all ecosystem such as primary forest, secondary forest with high- and low- canopy density. This study found that the average of carbon stocks in primary forest were 193,49 ± 125,98 tonC/ha, and were 267,42 ± 119,25 tonC/ha in secondary forest. The total carbon stocks in the period 1990–2000 has decreased about 22.6 tonC/ha/year and in the period 2000–2013 has increased about 41.2 tonC/ha/year. The enhancement of carbon stocks in this area was driven by an intensive forest protection, good monitoring and land rehabilitation. Keywords: biomass, carbon storage, carbon stock, land cover, national park

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

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

Study of Land Cover Change using Multi Layer Perceptron and Logistic Regression Methods in Gunung Ciremai National Park Agus Rudi Darmawan; Nining Puspaningsih; M. Buce Saleh
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

The development of land cover change is important to understand, so that the pattern of future land cover changes can be predicted and its negative impacts can be prevented or reduced. Various modeling approaches have been widely used to analyze land cover changes. The common modeling methods used for analyzing land cover changes are Multi-layer Perceptron (MLP) and Logistic Regression (Logit). This research is designed to assess the accuracy of modeling of land cover change with MLP and Logit methods in Gunung Ciremai National Park. The result indicated that the accuracy of both methods was very good with kappa values were 0,8991 and 0,8989 for MLP and Logit respectively. Therefore, the model can be applied to predict land cover change in Gunung Ciremai National Park in the future. Keywords: Gunung Ciremai National Park, land cover change, Logistic Regression, Multi-layer Perceptron

Biomass Estimation Model in Revegetation Area of Nickel Post-Mining Witno Witno; Nining Puspaningsih; Budi Kuncahyo
Media Konservasi Vol 23 No 3 (2018): Media Konservasi Vol. 23 No. 3 Desember 2018
Publisher : Department of Forest Resources Conservation and Ecotourism - IPB University

Deforestation and forest degradation are one of the most crucial issues in the forestry sector. The impact of deforestation and forest degradation due to the opening of forest areas for mining activities that causes damage to sustainable forest ecology. This condition requires companies as miners to carry out revegetation activities in post-mining areas to restore forest existence. PT. Vale of Indonesia (PTVI) is a nickel mining company located in Sorowako, South Sulawesi Province, which has carried out revegetation activities and is considered quite successful. This assessment has not included biomass as an indicator of forest productivity. Biomass is one of the determinants of forest productivity in post-mining areas needs to be further investigated to maximized revegation management. The objective of this study was to measure and construct a model for estimating biomass in the revegetation of the post-mining area in PTVI. The results of this study obtained a regression model of the rank as a biomass estimator in the revegetation of the post-mining area in PTVI. The form of the selected model equation is Y= 2,59505E-13 X1 2,489 X2 3,645. The independent variable is X1 = DVI (vegetation index) and X2 = C% (percentage of canopy). The regression model chosen has a determination coefficient of 70,60% and a standard deviation of -0,33528. Keywords: biomass, post-mining, regression model, revegetation

Carbon Stock Estimation on Oil Palm Plantations and Oil Palm-Based Agroforestry in Gunung Mas Regency Rosaprana, Wanella; Kuncahyo, Budi; Puspaningsih, Nining
Media Konservasi Vol. 28 No. 3 (2023): Media Konservasi Vol 28 No 3 December 2023
Publisher : Department of Forest Resources Conservation and Ecotourism - IPB University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/medkon.28.3.253-261

Central Kalimantan has one of the highest rates of deforestation and palm oil production in Indonesia. These changes have ecological impacts such as loss of animals, loss of water absorption functions, and increased carbon emissions. Agroforestry is a synergistic planting system between agricultural crops and forest stands to maintain the ecological balance. Sengons are legume plants that can be utilized in agroforestry systems. This study aimed to calculate the amount of belowground and aboveground carbon stocks on palm oil plantations and agroforestry lands consisting of palm oil and sengon trees in Manuhing and Rungan Barat districts. Belowground carbon consist of soil carbon, which is affected by the soil depth, bulk density, and soil C-organic value. Aboveground carbon consists of the sum of litter carbon, undergrowth carbon, and top stand vegetation carbon. Belowground carbon was measured using both disturbed and undisturbed methods. Litter and undergrowth carbon were measured using a destructive method, then top stand vegetation was measured by the allometric equations using breast height diameter. The comparison from all carbon pool shows that the palm oil plantations (2106,520 tons/ha) was higher than agroforestry lands (1834,734 tons/ha). This difference is strongly influenced by the potential of the different in belowground carbon stock for each land-use type. The highest potential carbon stock from this study was owned by belowground carbon stock. In the Manuhing district, belowground carbon stock was led by agroforestry lands (1786,907 tons/ha), whereas in the Rungan Barat district was led by palm oil plantations (1756,291 tons/ha).

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

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 Adhiguna, Agasta Agus Rudi Darmawan Andini Tribuana Tunggadewi, Andini Tribuana Atfi Indriany Putri Budi Kuncahyo Budi Kuncahyo Dahlan Dahlan Dahlan Dahlan Donny Satria Gatot Setiawan Gatot Setiawana Hariaji Setiawan Hendrayanto . Hengki Simanjuntak I Nengah Surati Jaya Kukuh Murtilaksono Kusnadi Lailan Syaufina Laturua, Aly Lukman Hakim Makin Basuki Mohammad Malik Muhammad Buce Saleh Muzailin Affan Muzailin Affan Naik Sinukaban Omo Rusdiana Rahimahyuni Fatmi Noor'an Ricca Rohani Hutauruk Rosaprana, Wanella Tatang Tiryana Tikaputra, Firman Witno Witno Yadi Setiadi Yudi Armanda Syahputra Zulkarnain

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