Komputasi
Vol. 22 No. 2 (2025): Komputasi: Jurnal Ilmiah Ilmu Komputer dan Matematika

Application of Principal Component Analysis on Factors Causing Inflation in West Kalimantan

Asri Rahmawati (Universitas Tanjungpura)
Yuyun Eka Pratiwi (Universitas Tanjungpura)
Onelia Rochmah (Universitas Tanjungpura)



Article Info

Publish Date
31 Jul 2025

Abstract

Inflation is an important indicator in assessing the economic stability of a region. Inflation fluctuations in West Kalimantan are influenced by various economic and structural factors. This study aims to identify the main factors causing inflation in West Kalimantan using Principal Component Analysis (PCA). Secondary data for the 2024 timeframe was obtained from West Kalimantan's Central Statistics Agency (BPS). Economic variables that are suspected of influencing inflation are analyzed using PCA to be reduced to new dominant factors. The main components obtained are then interpreted economically to understand the structure of the causes of inflation. The results of the analysis show that the cumulative proportion of the two components reaches 90%, so the two main components are sufficient to represent the main structure of the data. This means that most of the information from the original variables can be effectively reduced into two main components. Keywords: Inflation; PCA; reduction; economic factors.

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Journal Info

Abbrev

komputasi

Publisher

Subject

Computer Science & IT Control & Systems Engineering Mathematics

Description

Komputasi is a journal that publishes scientific papers in the fields of computer science and mathematics. This journal, published by the Department of Computer Science, Faculty of Mathematics and Natural Sciences, Pakuan University, Bogor. This journal provides an opportunity for researchers or ...