Community forest has a very important role in influencing environmental sustainability. Good management at community forest will affect the welfare of the community around the forest. This study aims to determine the strategy of community forest management in Pinang Jaya Kemiling Bandar Lampung. The data were collected with observation, documentation study and deeply interview with community forest farmers. The method of analysis used in this research is descriptive qualitative. The strategy for managing the community forest in Pinang Jaya analyzed with SWOT analysis (Strengths, Weaknesses, Opportunities and Threat). Based on the research, the results of the identification of internal factors, there are two strengths and four weaknesses, Meanwhile, for external factors, there are five opportunities and one threat. The SWOT diagram shows that the position of the Pinang Jaya community forest management strategy lies in quadrant three or diversification strategy by using the power possessed and avoid any available threats. Keywords : Community forest, management at community forest, SWOTAbstrakHutan rakyat memiliki peran yang sangat penting dalam mempengaruhi kelestarian lingkungan. Pengelolaan hutan rakyat yang baik akan berdampak pada kesejahteraan masyarakat sekitar hutan. Penelitian ini bertujuan untuk mengetahui strategi pengelolaan hutan rakyat di Pinang Jaya Kemiling Bandar Lampung. Pengumpulan data dilakukan dengan observasi, studi dokumentasi dan wawancara mendalam dengan petani hutan rakyat. Metode analisis yang digunakan dalam penelitian ini adalah deskriptif kualitatif. Strategi pengelolaan hutan rakyat di Pinang Jaya dianalisis dengan analisis SWOT (Strengths, Weaknesses, Opportunities and Threat). Berdasarkan penelitian diperoleh hasil identifikasi faktor internal terdapat dua kekuatan dan empat kelemahan, sedangkan untuk faktor eksternal terdapat lima peluang dan satu ancaman. Diagram SWOT menunjukkan bahwa posisi strategi pengelolaan hutan rakyat Pinang Jaya berada pada kuadran tiga atau strategi diversifikasi dengan menggunakan kekuatan yang dimiliki dan menghindari ancaman yang ada.Kata Kunci: Hutan rakyat, Pengelolaan Hutan rakyat, SWOT
Ecotourism is expected to revive in the post COVID-19 pandemic, as currently the lowland conservation area with the highest biodiversity in the world is Way Kambas National Park, Lampung province, Indonesia. Attractiveness is the main variable as the basis for planning the restoration of tourist visit performance. The purpose of this study was to determine the role of the country of origin variable and demographics of respondents in the attractiveness of ecotourism objects in WKNP. As a result, from May 2022 to August 2022, a 15-minute video about the exoticism of WKNP had been uploaded on the https://research-mil.unila.ac.id/ site. At the end of the video, a questionnaire is presented in Indonesian, English, French, Korean, Japanese, Chinese, and Arabic. The Ordinal Logistic Regression Postulate is used at the 95% confidence level. There are three levels of response variables that score 0, 1, and 2 to express not interested, interested, and very interested in visiting WKNP, respectively. The predictor variable is the respondent’s characteristics, which include the respondent’s origin, age, gender, number of dependents, income, and professional group. Optimization of model parameters and hypothesis testing were carried out at a 95% significance level using Minitab 19 software. The results showed that the attractiveness of visiting was influenced by: (a) country of origin, 33.09 times more foreign respondents compared to domestic ones with P = 0.037; (b) those who are 1 year older have a higher attractiveness, namely 1.06 times; and (c) whose professions as teachers, civil servants, and professional workers are lower, namely only 0.08 times, 0.09 times, and 0.14 times compared to housewives or students. The policy implications for redeveloping plans to improve tourist interest in visiting WKNP need to be focused on prospective tourists from abroad, with the main target being professions other than civil service employees. Keywords: demographic, overseas, post-pandemic, and logistic ordinal regression
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2025 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.