Journal
From Socialization to Collaboration: Community Engagement in the UNNES Special Purpose Forest Area (KHDTK), Mount Ungaran, for Conservation and Sustainable Use
Jurnal Abdimas · Vol. 30 No. 1 (2026) · pp. 21–28
- ISSN
- 2503-1252, 1410-2765
- Published
- 2026-06-30
- Publisher
- Universitas Negeri Semarang
- Language
- eng
Abstract
The designation of the UNNES Special Purpose Forest Area (KHDTK) at Mount Ungaran has brought new opportunities and uncertainties for communities living adjacent to the forest, particularly in Desa Ngesrepbalong, Kendal Regency. Many residents were not fully informed about the change in forest governance, the boundaries of the KHDTK, or their potential roles in its management. This community service program aimed to strengthen local understanding and encourage collaborative engagement in conservation and sustainable utilization of the forest area. The activities were conducted through coordination with local authorities, socialization sessions, field visits, and participatory discussions involving village officials, forest farmer groups, and community representatives. Data were gathered through observation, interviews, and feedback forms to assess changes in knowledge and attitudes. The program found that direct dialogue and joint field supervision of forest boundaries significantly reduced community concerns, particularly among coffee farmers previously involved under the Perhutani scheme. The transition from one-way socialization to participatory collaboration helped build mutual trust and opened pathways for sustainable partnership between the university and local stakeholders. It is recommended that follow-up programs focus on structured community-based forest management schemes, continuous mentoring, and integration of conservation principles into local economic activities to ensure long-term sustainability.
Keywords
Collaboration network of the authors
40 authors · 95 co-authorship links · showing the 40 most connected
Hover or tap a name to highlight its co-authors. Double-click to open the author's page.
- State University of Semarang
- Affiliation unknown
- Different organisations
- Same organisation
- Affiliation unknown
- Thicker line = more joint articles · bigger circle = more articles
Show as table
| Co-author | Organisation | Joint articles |
|---|---|---|
| Siti Mursidah | Affiliation unknown | 7 |
| Aditya Marianti | Affiliation unknown | 7 |
| Ahmad Nurkhin | Affiliation unknown | 5 |
| Sri Ngabekti | State University of Semarang | 4 |
| Bambang Priyono | State University of Semarang | 4 |
| Enni Suwarsi Rahayu | State University of Semarang | 4 |
| Cahya Wulandari | State University of Semarang | 3 |
| Ricky Dermawan Fauzi | Affiliation unknown | 3 |
| Hasan Mukhibad | Affiliation unknown | 3 |
| Muhsin Muhsin | Affiliation unknown | 3 |
| Lidiadni Septantri | Affiliation unknown | 3 |
| Widowati Widowati | Affiliation unknown | 2 |
| Widya Hary Cahyati | Affiliation unknown | 2 |
| Wandah Wibawanto | Affiliation unknown | 2 |
| Rosalia Yunisa | Affiliation unknown | 2 |
| Arif Purnomo | Affiliation unknown | 2 |
| Muhamad Sayuti Hassan | Affiliation unknown | 2 |
| Syaiful Amin | Affiliation unknown | 2 |
| Ridwan Arifin | Affiliation unknown | 2 |
| Sri Wartini | Affiliation unknown | 2 |
| Kusumantoro Kusumantoro | Affiliation unknown | 2 |
| Sigit Saptono | State University of Semarang | 2 |
| Ning Setiati | Affiliation unknown | 2 |
| Amin Retnoningsih | Affiliation unknown | 2 |
| Andin Irsadi | State University of Semarang | 2 |
| Nanda Julian Utama | Affiliation unknown | 2 |
| Herni Purnamasari | Affiliation unknown | 2 |
| Annisa Lintang Malinda | Affiliation unknown | 2 |
| Siti Harnina Bintari | Affiliation unknown | 2 |
| Moh Aris Munandar | Affiliation unknown | 2 |
| Ketut Sudarma | Affiliation unknown | 2 |
| Arka Yanitama | State University of Semarang | 1 |
| Isnarto Isnarto | Affiliation unknown | 1 |
| Asep Purwo Yudi Utomo | Affiliation unknown | 1 |
Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.