Clustering Analysis of Patchouli Plantations for Sustainable Patchouli Oil Supply Chain Using K-Means Algorithm

Authors

DOI:

https://doi.org/10.37385/jaets.v7i1.7188

Keywords:

patchouli, clustering, sustainability, supply chain, k-means

Abstract

Growing demand for patchouli oil has undoubtedly become an opportunity for the patchouli industry, particularly in Aceh, which supplies about 80% of Indonesia’s patchouli oil in the global supply chain system. However, the opportunity is often misguided by farmers and even the government, which implements various programs related to patchouli cultivation without identifying the potential land that is suitable to be used for it. The condition indicated that not every land is suitable for patchouli cultivation. Thus, it is necessary to cluster the distribution of existing patchouli plantations. The clustering aims to identify the existing patchouli plantations that have the potential for replication. This study uses the K-Means method that combines variables (the planting land, the harvesting land, and total production) to provide information on the plantation’s potential scale in each region. The clustering measurement pointed out that the plantation in South Aceh Regency has the most potential land for sustainable cultivation, followed by several other areas included in Cluster 2 and Cluster 3. The study’s result is essential in contributing significantly to optimizing patchouli cultivation management sustainability to fulfill Aceh Province’s role as the best quality patchouli oil supplier.

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References

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E. D. Chaves, M., C. A. Picoli, M., & D. Sanches, I. (2020). Recent Applications of Landsat 8/OLI and Sentinel-2/MSI for Land Use and Land Cover Mapping: A Systematic Review. Remote Sensing, 12(18). https://doi.org/10.3390/rs12183062

Ernawati, E., Masbar, R., Majid, M. S. A., & Jamal, A. (2021). Production and marketing efficiency of patchouli oil industry in Indonesia. Regional Science Inquiry, 13(2), 135–148.

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Maizi, H., Yudie Sastra, H., & Arhami. (2020). Mapping Upstream and Downstream Process in The Patchouli Oil Industry Using Supply Chain Operations Reference Model Version 12.0 (SCOR 12.0). IOP Conference Series: Materials Science and Engineering, 931(1), 012008. https://doi.org/10.1088/1757-899X/931/1/012008

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Nurdin, N. , F. R. M. A. & M. M. (2025). Clustering and Mapping of Agricultural Production Based on Geographic Information System Using K-Medoids Algorithm. Journal of Artificial Intelligence and Technology, 5, 116–124. https://doi.org/10.37965/jait.2025.633

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Published

2025-12-29

How to Cite

Maizi, H., Sentia, P. D., Ambartiasari, G., & Erwan, F. (2025). Clustering Analysis of Patchouli Plantations for Sustainable Patchouli Oil Supply Chain Using K-Means Algorithm. Journal of Applied Engineering and Technological Science (JAETS), 7(1), 337–355. https://doi.org/10.37385/jaets.v7i1.7188