K-Means Klastering Tanaman Biofarma Zingiber officinale Indonesia Tahun 2023

Ade Aisyah Arifna Putri (Teknik Industri, Fakultas Teknik, Universitas Sebelas Maret)
Nur Irhamni Sabrina (Universitas Syiah Kuala)
Okpri Meila (Universitas Syiah Kuala)

Industrial & System Engineering Journals (ISEJOU)
Vol. 4 No. 1 (2025): ISEJOU, Vol 4, No 1 Desember 2025

Indonesia is a country with a high production of biofarmaca plants. Biofarmaca refers to plants that are beneficial for disease prevention and are widely used in the pharmaceutical industry. One of the biofarmaca plants is Zingiber officinale, commonly known as ginger, which grows extensively throughout the provinces of Indonesia. This study focuses on clustering biofarmaca producers using the k-means clustering technique with two variables: harvest quantity and land area, employing four clusters for 38 provinces in Indonesia. The results indicate that there are 9 provinces in Cluster 1, 3 provinces in Cluster 2, 2 provinces in Cluster 3, and 24 provinces in Cluster 4. Cluster 1, consisting of 3 provinces, is the largest producer of ginger in Indonesia and has the largest land area compared to other provinces.