Stakeholder Analysis in Greenbelt Planning for Coastal Disaster Mitigation at Yogyakarta International Airport

https://doi.org/10.22146/ijg.106449

Tri Susmalinda(1), Dwiko Budi Permadi(2*), Handojo H. Nurjanto(3)

(1) Watershed Management and Land Rehabilitation Directorat General, Yogyakarta, Indonesia
(2) Faculty of Forestry, Universitas Gadjah Mada, Yogyakarta, Indonesia
(3) Faculty of Forestry, Universitas Gadjah Mada, Yogyakarta, Indonesia
(*) Corresponding Author

Abstract


The Indonesian government has designated many national strategic projects, including Yogyakarta International Airport (YIA), but the area is prone to coastal disasters, specifically abrasion and tsunamis. Greenbelt planning was proposed as a nature-based solution to mitigate these disasters. This study aimed to disclose the planning processes of YIA and the establishment of coastal forest as a greenbelt area, examine stakeholder participation, and identify the strategies used to implement the policy and plan. A total of 36 key informants were interviewed, and the policy documents were studied to analyze 1) chronology of YIA development planning processes, 2) typology of stakeholders, and 3) social network analysis (SNA) and policy strategies in establishing greenbelt area. The results showed that establishing YIA and Greenbelt required a long-term planning horizon passing through three periods between 2011 and 2020, namely Envision, Acceleration, and Mitigation. Five typologies of stakeholders were identified, including policymakers, planners, facilitators, implementers, farmer groups, and academicians. SNA showed that the forestry agency played a significant role in maintaining the communication and networks among the other stakeholders to establish greenbelt. This forestry agency used incentives, such as providing seedlings, technical guidance, and planting and maintenance costs for farmer groups. Government agencies (provincial, district, and village level) generally used a regulatory method (coercion) and dominant information to influence shrimp-pond farmers to leave the pond areas for greenbelt establishment. This study showed the importance of smart coordination in greenbelt planning using multiple strategies when complex problems arise. 


Received:2025-05-03Revised: 2026-03-05 Accepted: 2026-06-15  Published: 2025-08-05  



Keywords


Greenbelt planning; regional development; forest rehabilitation; social network analysis; nature-based solutions



References

Aji, K. C., Darwin, M., Yuniarti, W. K., & Ismail, N. (2017). Perilaku Strategi Coping Pelaku Tambak Udang dalam Merespons Kebijakan Penataan Pemanfaatan Tanah Kesultanan. Populasi, 25, 70–79.

Atika, R., Raditya, A. E., Marjianto, R. N., & Pramono, H. S. (2019). Automatic Tsunami Early Warning System Based on Open Data of Indonesia Agency for Meteorological, Climatological, and Geophysics. Journal of Physics: Conference Series, 1413(1), 012012. doi:10.1088/1742-6596/1413/1/012012

BNPB. (2019). Grand Desain Mitigasi Bencana Kawasan Strategis Bandara Pasca Pembangunan Yogyakarta International Airport 2020-2024. Jakarta: Badan Nasional Penanggulangan Bencana. Retrieved from https://perpustakaan.bnpb.go.id/inlislite/opac/detail-opac?id=1854

Danielsen, F., Sørensen, M. K., Olwig, M. F., Selvam, V., Parish, F., Burgess, N. D., … Suryadiputra, N. (2005). The Asian tsunami: A protective role for coastal vegetation. Science, 310(5748), 643. doi:10.1126/SCIENCE.1118387/SUPPL_FILE/DANIELSEN.SOM.NEW.PDF

Destiana, R., Kismartini, K., & Yuningsih, T. (2020). Analisis Peran Stakeholders Dalam Pengembangan Destinasi Pariwisata Halal Di Pulau Penyengat Provinsi Kepulauan Riau. Jurnal Ilmu Administrasi Negara AsIAN (Asosiasi Ilmuwan Administrasi Negara), 8(2), 132–153. doi:10.47828/JIANAASIAN.V8I2.18

Handayani, F., & Warsono, H. (2017). Analisis Peran Stakeholders Dalam Pengembangan Objek Wisata Pantai Karang Jahe Di Kabupaten Rembang. Journal of Public Policy and Management Review, 6(3), 40–53. doi:10.14710/JPPMR.V6I3.16543

Hidajat, W. K., Anggoro, S., & Najib. (2021). Coastal Area Management Based on Disaster Mitigation: A Case Study in Purworejo Regency, Indonesia. Indonesian Journal on Geoscience, 8(2), 147–156. doi:10.17014/IJOG.8.2.147-156

Hisan, N. K., Prakoso, S. S., & Chania, D. F. A. (2020). Kontrol Geomorfologi dan Karakteristik Pantai Terhadap Kerentanan Tsunami Di Yogyakarta International Airport, Kabupaten Kulonprogo. PROSIDING, Seminar Teknologi Kebumian Dan Kelautan (SEMITAN II), 2.

Koulali, A., McClusky, S., Susilo, S., Leonard, Y., Cummins, P., Tregoning, P., … Wijanarto, A. B. (2017). The kinematics of crustal deformation in Java from GPS observations: Implications for fault slip partitioning. Earth and Planetary Science Letters, 458, 69–79. doi:10.1016/J.EPSL.2016.10.039

Krott, M., Bader, A., Schusser, C., Devkota, R., Maryudi, A., Giessen, L., & Aurenhammer, H. (2014). Actor-centred power: The driving force in decentralised community based forest governance. Forest Policy and Economics, 49, 34–42. doi:10.1016/J.FORPOL.2013.04.012

Kurniawan, A., Nugroho, A., Noor, M., & Azam, A. (2020). Analisis Jejaring Sosial Tokoh Publik Menggunakan Metode Graphml. JSI: Jurnal Sistem Informasi (E-Journal), 12(1). doi:10.18495/JSI.V12I1.17

Ma, M. (2017). A Comparative Study of the Evolution of Greenbelts in London and Beijing, 235–259. doi:10.1007/978-3-319-48296-5_15

Macdonald, S., Monstadt, J., & Friendly, A. (2021). Rethinking the governance and planning of a new generation of greenbelts. Regional Studies, 55(5), 804–817. doi:10.1080/00343404.2020.1747608

Macdonald, S., Monstadt, J., & Friendly, A. (2023). Towards smart regional growth: institutional complexities and the regional governance of Southern Ontario’s Greenbelt. Territory, Politics, Governance, 11(8), 1727–1747. doi:10.1080/21622671.2021.1928540

Mardiatno, D., Malawani, M. N., Annisa, D. N., & Wacano, D. (2017). Review on Tsunami Risk Reduction in Indonesia Based on Coastal and Settlement Typology. Indonesian Journal of Geography, 49(2), 186–194. doi:10.22146/IJG.28406

Mbaru, E. K., & Barnes, M. L. (2017). Key players in conservation diffusion: Using social network analysis to identify critical injection points. Biological Conservation, 210, 222–232. doi:10.1016/J.BIOCON.2017.03.031

Mustafa, F., & Marsoyo, A. (2020). Tipologi Peran Stakeholder dalam Mendukung Reforestasi di Daerah Istimewa Yogyakarta. Jurnal Planoearth, 5(1), 35–44. doi:10.31764/JPE.V5I1.1653

Oktora, R., & Alamsyah, A. (2014). Pola Interaksi Dan Aktor Yang Paling Berperan Pada Event Jgtc 2013 Melalui Media Sosial Twitter (Studi Menggunakan Metode Social Network Analysis). Jurnal Manajemen Indonesia, 14(3), 201–209. doi:10.25124/JMI.V14I3.370

Sari, M. R., & Dwiyanti, K. T. (2018). Teori Graf Dalam Analisis Jejaring Sosial: Hubungan Aktor Utama Dengan Pengguna Internal Laporan Keuangan. Jurnal Akuntansi Dan Keuangan Indonesia, 15(1), 2. doi:10.21002/jaki.2018.02

Sepúlveda, I., Liu, P. L. F., Grigoriu, M., & Pritchard, M. (2017). Tsunami hazard assessments with consideration of uncertain earthquake slip distribution and area. Journal of Geophysical Research: Solid Earth, 122(9), 7252–7271. doi:10.1002/2017JB014430

Susmalinda, T., & Permadi, D. B. (2022). Peran Para Pihak Dalam Mengimplementasikan Program Rehabilitasi Hutan dan Lahan untuk Greenbelt Pesisir Pantai Di Yogyakarta International Airport. Universitas Gadjah Mada, Yogyakarta. Retrieved from https://etd.repository.ugm.ac.id/penelitian/detail/212177

Syahputra, O. K. H., Nugroho, B., Kartodihardjo, H., & Santoso, N. (2019). Networking Powers of Actors in Community-Based Mangrove Management in Aceh Province. Jurnal Pengelolaan Sumberdaya Alam Dan Lingkungan, 9(2), 380–393. doi:10.29244/JPSL.9.2.380-393

Tabassum, S., Pereira, F. S. F., Fernandes, S., & Gama, J. (2018). Social network analysis: An overview. Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, 8(5), e1256. doi:10.1002/WIDM.1256

Tanaka, N. (2009). Vegetation bioshields for tsunami mitigation: Review of effectiveness, limitations, construction, and sustainable management. Landscape and Ecological Engineering, 5(1), 71–79. doi:10.1007/S11355-008-0058-Z/METRICS

Tanaka, N., Ogino, K. Comparison of reduction of tsunami fluid force and additional force due to impact and accumulation after collision of tsunami-produced driftwood from a coastal forest with houses during the Great East Japan tsunami. Landscape Ecol Eng 13, 287–304 (2017). https://doi.org/10.1007/s11355-016-0321-7

Wahyudi, M., Poedjirahajoe, E., Hermawan, M. T. T., & Djumanto. (2025). Changes in the ecological system of coastal areas of Bantul and Kulon Progo Regencies. Indonesian Journal of Geography, 57(1), 157–165. doi:10.22146/IJG.100952

Widyawati, A., Handoyo, G., Satriadi, A., Studi, P., Kelautan, I., & Perikanan, F. (2013). Kajian Kerentanan Bencana Tsunami Di Pesisir Kabupaten Kulon Progo Provinsi DI Yogyakarta. Journal of Marine Research, 2(2), 103–110. doi:10.14710/JMR.V2I2.2772

Zhao, S., Shao, Q., & Zhou, X. (2023). Greenbelt investment with temporal preference in uncertain environments. Sustainable Cities and Society, 96, 104675. doi:10.1016/J.SCS.2023.104675




DOI: https://doi.org/10.22146/ijg.106449

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