KnE Life Sciences

Published date: Aug 12 2025

Journal Title: KnE Life Sciences

Issue title: The 6th International Conference on Technology, Education, and Social Science (6th ICTESS): Science and Technology

Pages: 32 - 44

DOI: 10.18502/kls.v9i1.19343

Tatik Suhartatitatik.suhartati@instiperjogja.ac.idFaculty of Forestry, Institut Pertanian Stiper, Yogyakarta

Erwin Umbu KatausuAlumni, Faculty of Forestry, Institut Pertanian Stiper, Yogyakarta

Sugeng WahyudionoFaculty of Forestry, Institut Pertanian Stiper, Yogyakarta

‎ PurwadiPostgraduate Program of Magister Manajemen Perkebunan INSTIPER, Yogyakarta

Community forest management practices among farmers vary based on several socio-economic factors. This study aimed to identify the types of community forest management adopted by farmers and to examine the factors influencing their choice of management practices. Data were collected through interviews with 40 respondents selected using an incidental sampling method. Binary logistic regression analysis was used to determine the factors influencing management choices. The results revealed that teak and mahogany were commonly selected tree species due to inheritance, ease of marketability, the presence of naturally growing saplings, and low maintenance requirements. Maintenance activities, primarily weeding and fertilizing, were conducted alongside food crop cultivation. Harvesting was carried out as needed (tebang butuh) by selectively cutting trees with sufficiently large diameters for use or sale. Factors influencing planting decisions included age, mentoring, farming experience, participation in farmer group, and land size. Maintenance practices were influenced by the farmer’s main occupation, income from timber, and land area. Meanwhile, harvesting decisions were affected by family size and income from non-timber sources.

Keywords: binary logistic regression, community forest management, harvesting, maintenance, planting

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