Asian Journal of Microbiology, Biotechnology & Environmental Sciences Paper

Vol 20, Issue 2, 2018; Page No.(669-675)

QUANTITATIVE STRATEGIC PLANNING MATRIX APPLIED TO FOREST CONSERVATION MANAGEMENT IN BALURAN NATIONAL PARK

A. SISWANTO, MOELJADI, DJUMILAH AND ROFIATY

Abstract

The Quantitative Strategic Planning Matrix can be applied to the management of Forest conservation, especially in Baluran National Park. The Quantitative Strategic Planning Matrix has been used by managers as an institutional strategy. The purposes of this research are: (1) to explain and analyze internal factors affecting forest conservation management; (2) to explain and analyze external factors affecting forest conservation management; (3) to explain and analyze the strategical priorities for forest conservation management. The research design uses a survey method with data collection through a questionnaire. The purposive sample of this study is 170 respondents from households and 25 respondents from local government and Baluran National Park staff. Priority strategies based on the analysis are: (1) Increasing community participation in the management of natural tourism; (2) Utilizing Baluran National Park management policy transparently and accountable to maximize conservation efforts, including the implementation of sustainable tourism; and (3) Optimization of Baluran National Park’s resources as a tourist attraction. The practical implications of this research provide information to managers and related parties about the importance of internal and external factors that affect the success of a management strategic plan. Original contributions of this research are the internal factor evaluation (IFE), external factor evaluation (EFE), the plotting of these on an internal-external (IE) matrix, as well as the evaluation and comparison of the external factors (opportunities and threats) and internal factors (strengths and weaknesses) in the SWOT matrix. The results can be used in decision-making and in the formulation of priority strategies by using QSPM analysis.

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