Jangkobus, Auryn Clara (2024) Penerapan Analisis Linkage Hierarchical Clustering dan K-Means Clustering Dalam Pengelompokkan Potensi Produksi Bawang Merah di Jawa Tengah. Undergraduate thesis, Fakultas Teknologi Informasi Universitas Merdeka Malang.

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Abstract

Shallots are a horticultural crop that is one of the leading vegetable commodities in Central Java, with a significant impact on the regional economy. Shallot production in Central Java reached 556,057 tons in 2021, a decrease from 500,992 tons the previous year. Inefficiencies in supply are caused by variations in climate and weather across different regions. Therefore, it is necessary to evenly distribute shallots from high-production areas to medium- and low-production areas to maintain supply and demand balance and price stability. This study uses clustering methods to identify potential shallot production areas in Central Java. The methods used include Agglomerative Hierarchical Clustering and K-means Clustering. The results of the study show that in 2020, the K-Means method identified 15 cities/regencies in Central Java in cluster 2 (temperature 25-27°C, rainfall 64-191 days), and in 2021, 25 cities/regencies. Linkage Hierarchical Clustering showed the highest number in cluster 3 (28 regencies/cities), with Ward Linkage (25 regencies/cities). Ward Linkage (2020) and Complete Linkage (2021) were optimal. Temperature and rainfall significantly affect shallot production. Ward Linkage and Complete Linkage provide more optimal results in clustering regions based on climate. Significant factors influencing shallot production are air temperature and rainfall. This research is expected to provide policy recommendations to improve shallot production and the welfare of farmers.

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