What type of study is this?

This is a Quantitative Study study.

October 16, 2025

Application of Data Mining in Classification Fresh Milk Production by Province Using K-Means Algorithm

Puntos clave

The application of K-means clustering revealed 1 high-level cluster province for fresh milk production.
Among the grouped provinces, 24 were classified under the low-level cluster for fresh milk yield.
Data from the Central Bureau of Statistics supports the analysis of milk production across provinces.
Improving the classification may enhance both productivity and quality of fresh milk in the market.

Resumen

The need for fresh milk is currently experiencing a fairly rapid development as can be seen in terms of the domestic market, here researchers want to increase the productivity and quality of fresh milk production. The data to be used is data from the Central Bureau of Statistics. The method in this study is the K-means clustering algorithm which is grouped into 2 clustering, namely high and low. The results of this study are 1 high-level cluster province, 24 low-level cluster provinces

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