APLIKASI PRINCIPAL COMPONENT ANALYSIS UNTUK MENGETAHUI DAYA BELI KENDARAAN BERMOTOR MASYARAKAT INDONESIA

Sari, Kartika Rahayu Tri Prasetyo and Prasetya, Widagdo Dwi Nugrahadi and Indrawati, Elsanda Merita (2021) APLIKASI PRINCIPAL COMPONENT ANALYSIS UNTUK MENGETAHUI DAYA BELI KENDARAAN BERMOTOR MASYARAKAT INDONESIA. Jurnal Inkofar, 5 (1). pp. 10-20. ISSN 2581-2920

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Abstract

The information available for use in decision making is increasing in the present and will continue to grow over time. This is where the role of multivariate statistics works and helps in decision making. Multivariate statistical analysis is an analytical method that makes it possible to examine more than two variables simultaneously. In this study, we will discuss the influence of several variables such as joint-stock index prices, rupiah exchange rates, gold and copper metal mining prices and other variables on the growth of Indonesian people's purchasing power. The method used is principal component analysis (PCA) which is can represent the variables analyzed and examined for their influence on increasing the purchasing power of Indonesian people with the indicator of improvement in the form of increased use of motorized vehicles. From the results of the Principal Component Analysis, the exchange rate variable has a high adverse effect, the joint-stock index variable, the rupiah exchange rate, the gold and copper metal mining prices and the price of airline tickets have a positive influence. The PCA results formed can be used to represent data in knowing people's purchasing power for cars and motorcycles.

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