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All Journal Media Komunikasi Geografi Forum Geografi Partner JPG (Jurnal Pendidikan Geografi) Jurnal Kemaritiman: Indonesian Journal of Maritime
Totok Gunawan
Universitas Gadjah Mada
Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Earth & Planetary Sciences Education Environmental Science Immunology & microbiology Social Sciences Veterinary

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Journal : Forum Geografi

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Multidimensional Scaling Approach to Evaluate the Level of Community Forestry Sustainability in Babak Watershed, Lombok Island, West Nusa Tenggara Ryke Nandini; Ambar Kusumandari; Totok Gunawan; Ronggo Sadono
Forum Geografi Vol 31, No 1 (2017): July 2017
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/forgeo.v31i1.3371

Abstract

Community forestry in Babak watershed is one of the efforts to reduce critical land area. The aim of this research was to evaluate the level of community forestry sustainability in both of community forest (HKm) and private forest in Babak watershed. Multidimensional scaling (MDS) was used to analyse the level of community forest sustainability based on the five dimensions of ecology, economy, social, institutional, and technology as well as 29 attributes. Leverage analysis was used to know the sensitive attributes of sustainability, while Monte Carlo analysis and goodness of fit was used to find the accuracy of MDS analysis. The result shows that HKm was in moderate sustainability level (sustainability index 54.08%) and private forest was in less sustainability level (sustainability index 48.53%). Furthermore, the ecology and technology in HKm were classified as less sustainable, while the institution and technology in private forest were considered less sustainable. There were 11 sensitive attributes of HKm and 19 sensitive attributes of private forest. The priorities of attribute improvement in HKm include land recovering (the dimension of ecology) and cooperative development (the dimension of technology). In private forest, the priorities of attribute improvement include leadership capacity building (the institutional dimension) and also the use of silviculture intensive and soil conservation (the dimension of technology).
Modeling of Percentage of Canopy in Merawu Catchment Derived From Various Vegetation Indices of Remotely Sensed Data Bambang Sulistyo; Totok Gunawan; H Hartono; Projo Danoedoro
Forum Geografi Vol 27, No 1 (2013): July 2013
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/forgeo.v27i1.5075

Abstract

The research was aimed at studying Percentage of Canopy mapping derived from various vegetation indices of remotely-sensed data int Merawu Catchment. Methodology applied was by analyzing remote sensing data of Landsat 7 ETM+ image to obtain various vegetation indices for correlation analysis with Percentage of Canopy measured directly on the field (PTactual) at 48 locations. These research used 11 (eleven) vegetation indices of remotely-sensed data, namely ARVI, MSAVI, TVI, VIF, NDVI, TSAVI, SAVI, EVI, RVI, DVI and PVI. The analysis resulted models (PTmodel) for Percentage of Canopy mapping. The vegetation indices selected are those having high coefficient of correlation (=0.80) to PTactual. Percentage of Canopy maps were validated using 39 locations on the field to know their accuracies. Percentage of Canopy map (PTmodel) is said to be accurate when its coefficient of correlation value to PTactual is high (=0.80). The research result in Merawu Catchment showed that from 11 vegetation indices under studied, there were 6 vegetation indices resulted high accuracy of Percentage of Canopy maps (as shown in the value of coefficient of correlation as 0.80), i.e. TVI, VIF, NDVI, TSAVI, RVI dan SAVI, while the rest, namely ARVI, PVI, DVI, EVI and MSAVI, have r values of 0.80.
Co-Authors Ambar Kusumandari Bambang Sulistyo Djoko Marsono Eko Ali Saputro H Hartono Lilik Nugrahaeni Max J. Kapa Melkianus Pobas Projo Danoedoro Ronggo Sadono Ryke Nandini Slamet Suprayogi Su Rito Hardoyo Suharyadi Suharyadi