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Assessment of land potential for food crop development in the karst landscape of Gunungsewu hills, Indonesia

https://doi.org/10.24057/2071-9388-2026-4124

Abstract

Gunungkidul region in Indonesia, though considered arid and agriculturally limited, has shown notable productivity in food crops, especially upland rice, cassava, groundnut, and maize cultivation. Main challenges of agricultural development in this region are limited accessibility to land due to its hilly and steep topography, as well as water scarcity. Accurate land-use planning tools are needed to allocate land resources to support regional agricultural activity. Therefore, a systematic assessment of land potential for food crop agriculture is needed using geoinformation techniques to enable well-planned development. This study segmented research area into doline units as mapping units. Accessibility, soil, and water factors were employed in evaluating land potential classes. The Analytical Hierarchy Process (AHP) method was used to determine the weights of parameters and parameter classes scores for each factor. Potential of dolines for food crop agriculture in Gunungkidul was assessed using 10 parameters including distance from road, distance from settlements, area of doline’s valley, rasio of valley’s area and doline’s area, soil depth, soil texture, pH, Soil Organic Matter (SOM), Cation Exchange Capacity (CEC), and uppermost rock. Among these parameters, distance from roads (weight: 0.26), distance from settlements (weight: 0.20), and doline valley area (weight: 0.14) were identified as the most significant accessibility factors. Results indicated that 52% of the karst and karstic areas of Gunungkidul, characterized by arid hills, have potential for food crop agriculture development. This study provides valuable insights for policymakers and stakeholders aiming to promote sustainable agricultural systems in karst landscapes more broadly in arid regions.

About the Authors

Afifatul Husna Al Adilah
Program of Geo-Information for Spatial Planning and Disaster Risk Management, Universitas Gadjah Mada; Indonesia Universitas Gadjah Mada
Indonesia

Jl. Teknika Utara, Yogyakarta, 55284;

Jl. Flora, Bulaksumur, Yogyakarta, 55281



Bayu Dwi Apri Nugroho
Department of Agriculture and Biosystem Engineering, Faculty of Agricultural Technology, Universitas Gadjah Mada
Indonesia

Jl. Flora, Bulaksumur, Yogyakarta,55281



Junun Sartohadi
Program of Geo-Information for Spatial Planning and Disaster Risk Management, Universitas Gadjah Mada; Indonesia Universitas Gadjah Mada; Department of Soil Science, Faculty of Agriculture, Universitas Gadjah Mada
Russian Federation

Jl. Teknika Utara, Yogyakarta, 55284;

Jl. Flora, Bulaksumur, Yogyakarta, 55281



Edwin Maulana
Program of Geo-Information for Spatial Planning and Disaster Risk Management, Universitas Gadjah Mada; Indonesia Universitas Gadjah Mada
Russian Federation

Jl. Teknika Utara, Yogyakarta, 55284;

Jl. Flora, Bulaksumur, Yogyakarta, 55281



Dimas Maula Hayat
Program of Geo-Information for Spatial Planning and Disaster Risk Management, Universitas Gadjah Mada; Indonesia Universitas Gadjah Mada
Russian Federation

Jl. Teknika Utara, Yogyakarta, 55284;

Jl. Flora, Bulaksumur, Yogyakarta, 55281



References

1. Ahmad N., Shahnawaz S. K., Husain M., Qamar S., and Alam Z. (2021). Food insecurity: concept, causes, fffects and possible solutions. IAR Journal of Humanities and Social Science, 2(November), 105–113, DOI: https://doi.org/10.47310/jiarjhss.v02i01.016.

2. Antriyandarti E., Barokah U., and Rahayu W. (2022). Sustaining food security in the karst mountains through increasing household income: A case study of Gunungkidul Indonesia. IOP Conference Series: Earth and Environmental Science, 1107(1), 0–6, DOI: https://doi.org/10.1088/1755-1315/1107/1/012091.

3. Cao W., Wu X., Zhu N., Meng Z., Lv C., Li X., and Wang G. (2024). Most suitable plant communities for the slope reclamation of the Zhengzhou-Xinxiang section of the Beijing-Hong Kong-Macao expressway. PLoS ONE, 19(2 February), 1–15, DOI: https://doi.org/10.1371/journal.pone.0297004.

4. Christanti R., Manik H. F. G. G., and Ariestanti C. A. (2023). Advocating community economic resilience framework in Kemadang Food Barn, Gunungkidul, Yogyakarta: accentuating the social capital perspective. Jurnal Pengabdian Kepada Masyarakat (Indonesian Journal of Community Engagement), 9(2), 117. DOI: https://doi.org/10.22146/jpkm.79129.

5. Diatta J., Grzebisz W., Frąckowiak-Pawlak K., Andrzejewska A., and Brzykcy M. (2014). Site-specific evaluation of Cu, Zn, Fe and Mn availability in arable soils. Zemdirbyste, 101(3), 235–242. DOI: https://doi.org/10.13080/z-a.2014.101.030.

6. Damayanti A., Muhammad F. A. H., Riza P. S., and Diko H. A. (2025). Use of the TPI and TWI methods for identifying karst dolines in Purwosari District, Gunungkidul Regency, Indonesia. Forum Geografi, 39(1), 89-101. DOI: 10.23917/forgeo.v39i1.4462.

7. Djaenudin D., Marwan H., Subagjo H., and Hidayat, A. (2011). Petunjuk teknis evaluasi lahan untuk komoditas pertanian. Indonesia: Balai Besar Penelitian dan Pengembangan Sumberdaya Lahan Pertanian Badan Penelitian dan Pengembangan Pertanian.

8. Everest T., Sungur A., Özcan H. (2021). Determination of agricultural land suitability with a multiple-criteria decision-making method in Northwestern Turkey. International Journal of Environmental Science and Technology, 18(5), 1073–1088. DOI: https://doi.org/10.1007/s13762-020-02869-9.

9. Eviati., Sulaeman., Herawaty L., Anggria L., Usman, Tantika H. E., Prihatini R., Wuningrum, P. (2023). Analisis Kimia Tanah, Tanaman, Air, Dan Pupuk. Indonesia: Kementrian Pertanian Republik Indonesia. DOI: https://tanahpupuk.bsip.pertanian.go.id.

10. Haryono E., Kholis A. N., Widyastuti M., Cahyadi A., Pradipa H., and Adji T. N. (2023). COCKPIT-PLUS: A proposed method for rapid groundwater vulnerability-driven land use zoning in tropical cockpit karst areas. Geography and Sustainability, 4(4), 305–317. DOI: https://doi.org/10.1016/j.geosus.2023.07.002.

11. Insani D. P. (2023). Feed selection decision support system the best cat uses the analytical hierarchy process method. Journal of Computer Scine and Information Technology, 9(2), 61–65. DOI: https://doi.org/10.35134/jcsitech.v9i2.64.

12. Islam M., Nusrat T., Jamil M., Yesmin F., Kabir M., and Rimi R. (2021). Investigation of soil properties and nutrients in agricultural practiced land in Tangail, Bangladesh. International Journal of Agricultural Research, Innovation and Technology, 10(2), 84–90. DOI: https://doi.org/10.3329/ijarit.v10i2.51581.

13. Mganga K. Z., Bosma L., Amollo K. O., Kioko T., Kadenyi N., Ndathi A. J. N., Wambua S. M., Kaindi E. M., Musyoki G. K., Musimba N. K. R., and van Steenbergen F. (2022). Combining rainwater harvesting and grass reseeding to revegetate denuded African semi-arid landscapes. Anthropocene Science, 1(1), 80–90. DOI: https://doi.org/10.1007/s44177-021-00007-9.

14. Nungula E. Z., Massawe B. J., Chappa L. R., Nhunda D. M., Seleiman M. F., Ali N., and Gitari H. I. (2024). Multicriteria land suitability assessment for cassava and bean production using integration of GIS and AHP. Cogent Food and Agriculture, 10(1). DOI: https://doi.org/10.1080/23311932.2024.2333316.

15. Rahma D. W., Soetjipto W. (2024). Dampak kebijakan perlindungan lahan pertanian pangan berkelanjutan (LP2B) terhadap sektor pertanian. Syntax Idea, 6(4), 1771–1784. DOI: https://doi.org/10.46799/syntax-idea.v6i4.3172 (In Bahasa).

16. Ribolzi O., Evrard O., Huon S., De Rouw A., Silvera N., Latsachack K. O., Soulileuth B., Lefèvre I., Pierret A., Lacombe G., Sengtaheuanghoung O., and Valentin C. (2017). From shifting cultivation to teak plantation: Effect on overland flow and sediment yield in a montane tropical catchment. Scientific Reports, 7(1), 1–12. DOI: https://doi.org/10.1038/s41598-017-04385-2.

17. Saaty T. L. (2014). Analytic Heirarchy Process. Wiley StatsRef: Statistics Reference Online. 1–11. DOI: https://doi.org/10.1002/9781118445112. stat05310.

18. Tanjung N. A., Rustiadi E., Widiatmaka. (2021). Suitable and available land for settlement development in Cianjur Regency. Jurnal Pengelolaan Sumberdaya Alam Dan Lingkungan, 11(4), 550–566. DOI: https://doi.org/10.29244/jpsl.11.4.550-566.

19. Vaghela B. N., Parmar M. G., Solanki H. A., Kansara B. B., Prajapati S. K., Kalubarme M. H. (2018). Multi Criteria Decision Making (MCDM) approach for mangrove health assessment using geo-informatics technology. International Journal of Environment and Geoinformatics, 5(2), 114–131. DOI: https://doi.org/10.30897/ijegeo.412511.

20. Valjavec M. B., Čarni A., Žlindra D., Zorn M., and Marinšek A. (2022). Soil organic carbon stock capacity in karst dolines under different land uses. Catena, 218. DOI: https://doi.org/10.1016/j.catena.2022.106548.

21. Widiatmaka., Ambarwulan W., and Sudarsono. (2016). Spatial multi-criteria decision making for delineating agricultural land in Jakarta metropolitan area’s hinterland: Case study of Bogor regency, West Java. Agrivita, 38(2), 105–115. DOI: https://doi.org/10.17503/agrivita.v38i2.746.


Review

For citations:


Al Adilah A., Nugroho B., Sartohadi J., Maulana E., Hayat D. Assessment of land potential for food crop development in the karst landscape of Gunungsewu hills, Indonesia. GEOGRAPHY, ENVIRONMENT, SUSTAINABILITY. 2026;19(2):53-66. https://doi.org/10.24057/2071-9388-2026-4124

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ISSN 2071-9388 (Print)
ISSN 2542-1565 (Online)