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All Journal MANAJEMEN HUTAN TROPIKA Journal of Tropical Forest Management Jurnal Serambi Engineering Budapest International Research and Critics Institute-Journal (BIRCI-Journal): Humanities and Social Sciences
Nurdin Sulistiyono
Forestry Study Program, Faculty Of Agriculture, University Of North Sumatera, Jalan Tri Darma Ujung No. 1 Campus USU, Medan 20155, Indonesia
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Economics, Econometrics & Finance Engineering Environmental Science Social Sciences

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Analysis of Prioritization of Road Development in Regional Development in North Labuhanbatu Regency Barus, Ester Maria; Lindarto, Dwi; Sulistiyono, Nurdin
Budapest International Research and Critics Institute (BIRCI-Journal): Humanities and Social Sciences Vol 4, No 4 (2021): Budapest International Research and Critics Institute November
Publisher : Budapest International Research and Critics University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33258/birci.v4i4.2961

Abstract

The purpose of this study is to find out how effective location / area conditions are a top priority for the determination of road construction in North Labuhanbatu Regency. The interview data showed that 3 (three) criteria taken in this study, using the Analytical Hierarchy Process (AHP) method were obtained, namely, the cost of development (33.7%), road conditions (46.9%) is the most dominant criterion and level of importance (19.4%). By including 3 (three) criteria against 15 (fifteen) proposals, the evaluation of the comparison of road development priorities of North Labuhanbatu Regency in Fiscal Year 2019 with the priority of alternative road development in regional development obtained 2 (two) road activities that became priorities for Alternative Road Development, namely Hardening Jl Pasar Barat Towards Block I Lingk. West Market Kel. Tanjung Leidong Kec. Kualuh Leidong and Jl Bawal Lingk Development. Kp Baru 4 Kel. Tanjung Leidong Kec. Kualuh Leidong.
Carbon Sequestration Potential in Aboveground Biomass of Hybrid Eucalyptus Plantation Forest Siti Latifah; Nurdin Sulistiyono
Jurnal Manajemen Hutan Tropika Vol. 19 No. 1 (2013)
Publisher : Institut Pertanian Bogor (IPB University)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (546.34 KB)

Abstract

Forests are a significant part of the global carbon cycle. Forests sequester carbon by conducting photosynthesis, which is the process of converting light energy to chemical energy and storing it in the chemical bonds of sugar. Carbon sequestration through forestry has the potential to play a significant role in ameliorating global environmental problems such as atmospheric accumulation of GHG's and climate change. The present investigation was carried out to determine carbon sequestration potential of hybrid Eucalyptus. This study was conducted primarily to develop a prediction model of carbon storage capacity for plantation forest of hybrid Eucalyptus in Aek Nauli, Simalungun District, North Sumatera. Models were tested and assessed for statistical validity and accuracy in predicting biomass and carbon, based on determination coefficient (R) and correlation coefficient (r), aggregative deviation percentage (AgD), and the average deviation percentage (AvD). The best general model to estimate the biomass of hybrid Eucalyptus was Y = 1351,09x^0,876. e^(0,094). Results showed that hybrid Eucalyptus had an average above-ground biomass in year 0 (the land without the eucalyptus trees) up to year 3 as large as 1.36, 11.56, 43.18, and 63.84 t ha. The carbon content of hybrid Eucalyptus were 0.61, 5.2, 19.43 t^(-1), and 28,73 t^(-1) C ha while the carbon sequestration potential were 2.23, 19.08, 71.31, and 105.43 t^(-1) CO ha^(-1) respectively.
Spatial Model of Deforestation in Sumatra Islands Using Typological Approach Nurdin Sulistiyono; I Nengah Surati Jaya; Lilik Budi Prasetyo; Tatang Tiryana
Jurnal Manajemen Hutan Tropika Vol. 21 No. 3 (2015)
Publisher : Institut Pertanian Bogor (IPB University)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1117.496 KB) | DOI: 10.7226/jtfm.21.3.99

Abstract

High rate of deforestation occurred in Sumatra Islands had been allegedly triggered by various factors. This study examined how the deforestation pattern was related to the typology of the area, as well as how the deforestation is being affected by many factors such as physical, biological, and socio-economic of the local community. The objective of this study was to formulate a spatial model of deforestation based on triggering factors within each typology in Sumatra Islands.  The typology classes were developed on the basis of socio-economic factors using the standardized-euclidean distance measure and the memberships of each cluster was determined using the furthest neighbor method. The logistic regression method was used for modeling and estimating the spatial distribution of deforestation. Two deforestation typologies were distinguished in this study, namely typology 1 (regencies/cities with low deforestation rate) and typology 2 (regencies/cities with high deforestation rate). The study found that growth rate of farm households could be used to assign each regencies or cities in Sumatra Islands into their corresponding typology. The resulted spatial model of deforestation from logistic regression analysis were logit (deforestation) = 1.355 + (0.012*total of farm households) – (0.08*elevation) – (0.019*distance from road) for typology 1 and logit (deforestation) = 1.714 + (0.007*total of farm households) – (0.021*slope) – (0.051*elevation) – (0.038* distance from road) + (0.039* distance from river) for typology 2, respectively. The accuracy test of deforestation model in 2000–2006 showed overall accuracy of  68.52% (typology 1) and 74.49% (typology 2), while model of deforestation in 2006–2012 showed overall accuracy of 65.37% (typology 1) and 72.24% (typology 2), respectively.
Analisis Tingkat Kerawanan Longsor Dengan Integrasi Analytical Hierarchy Process dan Pemodelan Spasial Sistem Informasi Geografis di Kabupaten Aceh Tenggara Juni Muchlis Mustafa; Sirojuzilam Sirojuzilam; Nurdin Sulistiyono
Jurnal Serambi Engineering Vol 4, No 1 (2019): Vol. 4. Edisi Khusus
Publisher : Fakultas Teknik

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32672/jse.v4i1.981

Abstract

Southeast Aceh District in Aceh Province is a district that often experiences landslides. High rainfall (1600 mm/year) and hilly areas with slope levels above 40% are also indicators of landslide vulnerability. The study aims to determine the criteria for the biggest contributors to landslide vulnerability using the Analytical Hierarchy Process (AHP) method and find out the distribution of landslide vulnerability in Southeast Aceh District by using spatial modeling using Geographic Information Systems (GIS). Spatial data as a parameter in making landslide models includes 4 (four) parameters, they are land cover, rainfall, slope and soil movement.  These parameters have sub-parameters such as land cover parameters that have sub-parameters, i.e empty land,  shrubs, rice fields, fields/moor, gardens, settlements, rivers, secondary forests and primary forests. The slope parameters have sub-parameters i.e slope 0-8%, slope of 8-15%, slope of 15-25%, slope of 25-45%, slope 45%. Rainfall parameters have sub-parameters which are 2,500-2,700 mm/yr, 2,700-2,900 mm/yr, 2,900-3,400 mm/ yr, 3,400-3,600 mm/yr and 3,600-3800 mm/yr. The parameters of soil motion have sub-parameters, i.e middle and middle high movements. These parameters and sub-parameters become questionnaires by Expert Choice 11 as Analytical Hierarchy Process (AHP) software. This questionnaire then becomes an interview material for expert experts to determine the weight values (parameters) and scores (sub-parameters). The weight values and scores obtained from the Expert Choice 11 application are used by the ArcGIS 10.6 to create a spatial model of the distribution of landslide vulnerabilities. Research has produced spatial distribution of landslide vulnerability with a low level of vulnerability distribution of 209,523.56 ha (49%), moderate vulnerability of 158,170.14 ha (37%) and high vulnerability of 56,640.76 (13%)
Co-Authors Ari Ardelina Tatang Tiryana Muhdin, Ari Ardelina Tatang Tiryana Barus, Ester Maria I Nengah Surati Jaya Juni Muchlis Mustafa Lilik Budi Prasetyo Lindarto, Dwi Sirojuzilam Sirojuzilam Siti Latifah