Constructing Indonesian Composite Infrastrcuture Index using Principal Component Analysis.

Firman Herdiansah, F. Pangestuty
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Abstract

This article aims to develop Indonesia's economic infrastructure indices, including transportation, telecommunications, education, and financial. The index employs indicators from 2018 at the regency level using Principal Component Analysis (PCA) to aggregate the index for each infrastructure component. The result shows that the use of PCA to reduce the data dimensions is quite effective in producing indices because the principal components are very representative of the data set as a whole.
用主成分分析法构建印尼基础设施综合指数。
本文旨在制定印尼的经济基础设施指数,包括交通、电信、教育和金融。该指数采用了2018年摄政级别的指标,使用主成分分析(PCA)对每个基础设施组成部分的指数进行汇总。结果表明,使用主成分分析来降低数据维度在生成指数方面是非常有效的,因为主成分分析非常能代表整个数据集。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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