Mewujudkan Kelestarian Hasil Tegakan Merbau di Hutan Alam Indonesia

Untuk mewujudkan kelestarian hasil tegakan merbau diperlukan metode pengaturan hasil yang tepat. Namun sampai saat ini, pemerintah masih menggunakan metode pengaturan hasil yang bersifat umum untuk seluruh jenis tegakan, sehingga tidak cocok untuk tegakan merbau yang riapnya rendah dan populasinya jarang. Alternatifnya, pengaturan hasil tegakan merbau dapat menggunakan metode pengaturan hasil berbasis dinamika struktur tegakan. Metode tersebut dapat membantu pengelola hutan untuk menentukan jatah tebang tahunan dan merumuskan berbagai skenario pengaturan hasil sesuai dengan tujuan pengelolaan dan karakteristik tegakan merbau yang dikelolanya. Dalam implementasinya, metode tersebut dapat mendorong pengelola hutan untuk memperbaiki praktik praktik-praktik pengelolaan hutannya menjadi lebih baik

Spatial Model of Deforestation in Kalimantan from 2000 to 2013

Forestry sector is the biggest carbon emission contributor in Indonesia which is mainly caused by deforestation.  In Kalimantan island one of the largest island in Indonesia has a significant area of forest cover still can be found although an alarming rates deforestation is also exist. This study was purposed to established spatial model of deforestation in Kalimantan island. This information is expected to provide options to develop sustainable forest management in Kalimantan trought optimizing environment and socio-economic purposes. This study used time-series land cover data from the Ministry of Environment and Forestry (2000 – 2013) and is validated by SPOT 5/6 images in 2013. The spatial model of deforestation were developed using binary logistic. The results of logistic regression analysis obtained spatial model of deforestation in Kalimantan = 1.1480714 – (0.033262*slope) – (0.002242*elevation) – (0.000413*distance from forest edge) + (0.000045*Gross Regional Domestic Product). Validation test showed overall accuracy about 79.64% and 77.01% for models of deforestation in 2000–2006 and 2006–2013 respectively.

Carbon Emission Reduction Potential through Sustainable Forest Management in Forest Concession of PT Salaki Summa Sejahtera, Province of West Sumatera

A management unit (MU) of a forest concession holder implementing the sustainable forest management (SFM) principles, could be involved in reducing Emmission from Reforestation and Forest Degradation (REDD+) and carbon trading project. The fact the strategic in implementing the REDD+ and carbon trading in MU level is still lack of pilot project and methodology. Therefore, some scenarios must be developed and tested to find out the best potential of carbon credit in MU level. The objectives of the research were: to calculate carbon credit in some SFM scenarios, to analyze of carbon trading project feasibility, and to determine carbon stock recovery period of logged over area (LOA). The result revealed that carbon stock and carbon credit of LOA was affected by timber cutting intensity.  The 6th scenario with lowest annual allowable cutting (AAC) obtained greater carbon credit and profit coming from timber harvesting income and carbon trading. In other hand, this scenario has shortest duration of carbon stock recovery period (27 years) and shorter than its cutting cycle.  In this case, the MU has to recalculate and to decrease its AAC to have highest benefits from carbon trading in the same cutting cycle period.  It will provide double benefits from carbon trading, those are contribution in achieving the SFM purposes (production, ecology, social) and climate change mitigation

Spatial Model of Deforestation in Kalimantan from 2000 to 2013

Forestry sector is the biggest carbon emission contributor in Indonesia which is mainly caused by deforestation.  In Kalimantan island one of the largest island in Indonesia has a significant area of forest cover still can be found although an alarming rates deforestation is also exist. This study was purposed to established spatial model of deforestation in Kalimantan island. This information is expected to provide options to develop sustainable forest management in Kalimantan trought optimizing environment and socio-economic purposes. This study used time-series land cover data from the Ministry of Environment and Forestry (2000 – 2013) and is validated by SPOT 5/6 images in 2013. The spatial model of deforestation were developed using binary logistic. The results of logistic regression analysis obtained spatial model of deforestation in Kalimantan = 1.1480714 – (0.033262*slope) – (0.002242*elevation) – (0.000413*distance from forest edge) + (0.000045*Gross Regional Domestic Product). Validation test showed overall accuracy about 79.64% and 77.01% for models of deforestation in 2000–2006 and 2006–2013 respectively.

FORESTRY COMPANY SATISFACTION TOWARDS ONLINE INFORMATION SYSTEM IMPLEMENTATION OF FOREST PRODUCT MANAGEMENT (SI-PUHH)

This research was conducted with the aim 1) to analyze gaps that occurs between perception and expectations of the company implementation of SI-PUHH Online, 2) to analyze the level of satisfaction of the company implementation of SI-PUHH Online 3) Formulate a strategy to improve the quality of service implementation PUHH Information System Online. Analysis of the data used is the Importance Performance Analysis (IPA) and the Customer Satisfaction Index (CSI). The results showed that there are five attributes that considered important in determining customer satisfaction. These five attributes are: 1) System Online has a server that is up to date with internet bandwidth that is large so it is not easy down and can be accessed quickly; 2) response rapid administrator/operator; 3) accurate data in accordance with entrian company; 4) There is a backup server; and 5) Officer SI-Online PUHH always willing to help. The fifth attribute is an attribute that has a high level of importance, but in its implementation or performance is still unsatisfactory. Customer Satisfaction Index (CSI) on the implementation of this SIPUHH Online amounted to 72,07%, meaning that customers "satisfied" on the performance of services carried out by the Ministry of Environment and Forestry, but must maintain and improve the performance SERVQUAL PUHH Information System Online is to be able to satisfy the users company PUHH Information System Online.Keywords: SI-PUHH Online, SERVQUAL, IPA, CS

Spatial Modeling of Deforestation in FMU of Poigar, North Sulawesi

Forest is a part of the ecosystem that provides environmental services. Deforestation may decrease forest function in an ecosystem. This study aims to build a spatial model of deforestation in a forest management unit (FMU) of Poigar. Deforestation analysis carried out by analyze the change of forest cover into non-forest cover with post classification comparison technique. Driving forces of deforestation carried out by spatial modeling using binary logistic regression models (LRM). Result of logistic regression model was used to predict the deforestation in 2013 and compare the prediction result with actual deforestation. The result showed that forest loss from the 2000 to 2013 period amounted 12,668.2 hectares. Deforestation in FMU of Poigar influenced by six factors there are distance from the road, distance from the settlement, distance from the river, population density, elevation and slope. Logistic regression model was built using five explanatory variables that are the distance from the road, distance from the river, population density, elevation and slope. Population density and accessibility is the most influented factor caused deforestation in FMU of Poigar. Prediction of deforestation could predict about 58 % of actual deforestation spatialy, so spatial models of deforestation could be an information to guidance on future management of FMU of Poigar

Perubahan Stok Karbon dan Nilai Ekonominya pada Konversi Hutan Rawa Gambut Menjadi Hutan Tanaman Industri Pulp

Peat swamp forest is an important pool of terrestrial carbon stock (C-stock). Therefore, research on change of C-stock and its economic value of peat swamp forest conversion to pulpwood industrial plantation forest is important. The objectives of this research are to know the change of C-stock on peat swamp forest conversion to pulpwood industrial plantation forest, and to get the carbon economic value of peat swamp forest and pulpwood industrial plantation forest. The result showed that conversion from logged over and secondary forest causing the decrease of C-stocks of 103.53 and 61.02 t ha-1 year-1, while conversion from degraded forest causing the increase of C-stocks of 22.47 t ha-1 year-1. REDD project on pulpwood industrial plantation forest from degraded land causing the increase of NPV of 20.21% and 51.13% for compensation prices US$9 and 12 tCO2-e-1. REDD project with conservation on secondary forest gave lower economic value than pulpwood industrial plantation forest at all compensation prices simulation, and REDD project with preservation logging gave higher economic value than pulpwood industrial plantation forest at compensation price US$ 12 tCO2-e-1. REDD project on logged over forest gave higher economic value than pulpwood plantation at compensation prices US$ 9 and 12 tCO2-e-1 (both on conservation and preservation logging scenarios)

Perubahan Stok Karbon dan Nilai Ekonominya pada Konversi Hutan Rawa Gambut Menjadi Hutan Tanaman Industri Pulp

Peat swamp forest is an important pool of terrestrial carbon stock (C-stock). Therefore, research on change of C-stock and its economic value of peat swamp forest conversion to pulpwood industrial plantation forest is important. The objectives of this research are to know the change of C-stock on peat swamp forest conversion to pulpwood industrial plantation forest, and to get the carbon economic value of peat swamp forest and pulpwood industrial plantation forest. The result showed that conversion from logged over and secondary forest causing the decrease of C-stocks of 103.53 and 61.02 t ha-1 year-1, while conversion from degraded forest causing the increase of C-stocks of 22.47 t ha-1 year-1. REDD project on pulpwood industrial plantation forest from degraded land causing the increase of NPV of 20.21% and 51.13% for compensation prices US$9 and 12 tCO2-e-1. REDD project with conservation on secondary forest gave lower economic value than pulpwood industrial plantation forest at all compensation prices simulation, and REDD project with preservation logging gave higher economic value than pulpwood industrial plantation forest at compensation price US$ 12 tCO2-e-1. REDD project on logged over forest gave higher economic value than pulpwood plantation at compensation prices US$ 9 and 12 tCO2-e-1 (both on conservation and preservation logging scenarios)