Analysis of Indonesia’s Export Unit Value Index in 2023 Using Descriptive Analysis and K-Means Clustering Method Based on Data from the International Trade Centre (ITC) and the 2023 Annual Export Report by BPS (Statistics Indonesia)
Keywords:
Export Unit Value Index, SITC, K-Means Clustering, Export CommoditiesAbstract
This research aims to analyze the unit value index of Indonesian exports in 2023 based on monthly data according to the 3-digit SITC code. The export unit value index is an indicator that measures changes in export commodity prices compared to the base year 2018. Using descriptive analysis and K-Means clustering methods, this research explores the patterns and characteristics of Indonesia’s export unit value index and groups commodities based on the similarity of their index values. The research results show that there are fluctuations in the export unit value index for various commodities throughout 2023, with several commodities experiencing significant price increases or decreases. Through clustering analysis, export commodities can be grouped into several clusters based on similar index values, providing an overview of commodities that have similar price trends. These findings can provide valuable information for policy makers and business actors in developing appropriate export strategies.
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