Analisis Pengelompokan Indeks Pemberdayaan Gender dan Ketimpangan Gender di Provinsi Lampung menggunakan Algoritma K-Means
DOI:
https://doi.org/10.55606/juisik.v6i2.2415Keywords:
Clustering, Gender Empowerment Indeks, Gender Inequality Index, K-Means, RapidMinerAbstract
Gender issues are one of the important aspects in sustainable development, especially in achieving gender equality in various sectors of life. This study aims to analyze the grouping of Gender Empowerment Index (IDG) and Gender Inequality Index (IKG) data in districts/cities of Lampung Province using the K-Means algorithm. The method used in this study is quantitative descriptive with a data mining approach through clustering techniques. The data used are secondary data obtained from the Central Statistics Agency (BPS) of Lampung Province in 2024, consisting of IDG and IKG data from 15 districts/cities. Data processing was carried out using the RapidMiner application through stages of import data, preprocessing, normalization, and clustering using the K-Means algorithm. The results showed that the data were successfully grouped into three clusters consisting of Cluster 0 with 5 districts/cities, Cluster 1 with 4 districts/cities, and Cluster 2 with 6 districts/cities. Each cluster has different characteristics based on the level of gender empowerment and gender inequality in each region. The clustering results can provide an overview of gender conditions in Lampung Province and can be used as supporting information for policy-making related to gender equality and women’s empowerment.
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