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All Journal Warta Rimba Mitra Sains
Akhbar Akhbar
Universitas Tadulako
Agriculture, Biological Sciences & Forestry Education

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ANALISIS SEBARAN TUTUPAN VEGETASI MENGGUNAKAN CITRA LANDSAT 8 DI KAWASAN HUTAN PENDIDIKAN UNIVERSITAS TADULAKO Balqish Balqish; Akhbar Akhbar; Ida Arianingsih
Jurnal Warta Rimba Vol 10, No 3 (2022)
Publisher : Universitas Tadulako

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Abstract

Educational Forest is an education medium which has purpose to support and increase the education quality about the introduction and function of forest. An important information is needed in order to manage the Educational Forests it was the vegetation distribution in the forest. By determining Tadulako University Education Forest as a forest with specific purpose in limited production forest region which is located in Donggala Regency, Central Sulawesi Province as wide as ± 1.813 hectare as the training and education forests since August, 26th 2016 (SK.661/MenLhk/Setjen/PLA.O/8/2016) and no research has been conducted about vegetation distribution, therefore it needs to do a research in order to analyze the vegetation distribution by using descriptive method in unsupervised classification to obtain the data by using Citra Landsat 8 and ArcGis 10.0 software, and field survey method to obtain the data in Educational Forests. The results of vegetation distribution by using Citra Landsat 8 which is recorded in 2017 path/row 114/61 in Educational Forest, obtained results that the vegetation distribution in Tadulako University Education Forests has width ± 1.813 ha which is dominated by forest wide as 1.137,26 ha (62,71 %) with distribution pattern randomly and evenly. The others vegetation distribution are shrubs as wide as 641,20 ha (35,36 %) and cloud cover as wide 39,66 ha (1,94 %). The results of the vegetation distribution map analysis in this research has accuracy rate of 86,11 %, it means that the vegetation distribution map fulfill the standards of accuracy interpretation and can be used appropriately in order to know the vegetation distribution in Tadulako University Education Forests
Pemodelan Spasial Deforestasi Di Kesatuan Pengelolaan Hutan Lindung (KPHL) Unit VI Dolago Tanggunung Provinsi Sulawesi Tengah Rhamdhani Rhamdhani; Akhbar Akhbar; Hasriani Hasriani
Mitra Sains Vol 8 No 1 (2020): Maret
Publisher : Universitas Tadulako

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22487/mitrasains.v8i1.271

Abstract

This research intend to analyzing the process of deforestation, constraction of deforestation model and analyzing the factors of deforestation in protection forest management unit (PFMU) Unit VI Dolago Tanggunung Central Sulawesi. This research was carried out with analyzing change to cover the land by using landsat imagery. Deforestation analysis was carried out by making a spatial model using six factors namely distance from road, distance from river, slop, elevation, settlement, and population density using the Binary Logistic Regression method from January to April 2019. Results of land cover classification period of 2007 had a class namely primary dryland forest, secondary dryland forest, dryland agriculture, mixed dryland agriculture, rice fields, and shrubs. While the period of 2017 primary dryland forest, secondary dryland forest, dryland agriculture, mixed dryland agriculture, settlements and shrubs. The choosen model had the greatest score of goodness of fit and chi square. The results of binary logistic regression showed the score of goodness of fit was 27425017.29 the chi square score was 34341,2655 and pseudo r2 was 0.2091 greater than 0.2 which shown the model was feasible to use. The establishment of a spatial model of deforestation in the Protection Forest Management Unit (PFMU) Unit VI Dolago Tanggunung produce 5 variable factors consisting of accessibility aspects namely elevation, population density, river, slope, road. Logit (p) = -3.99930582 + 0.00000894 (x1) - 0,00022225 (x2) + 0,000000 (x3) + 0,00049952 (x4) + 0,000000 (x5)
Co-Authors Balqish Balqish Hasriani Hasriani Ida Arianingsih Rhamdhani Rhamdhani