The Effect of E-Commerce on Gross Regional Domestic Product and Clustering of Its Characteristics by Utilizing Official  Statistics and Big Data

Widhelia Echa Pramesthy; Putri Muthi’ah Dini; Muhammad Amirul Budiman; Zul Ahmad Esharja; Fitri Kartiasih

doi:10.14414/jebav.v27i1.4136

Vol. 27 No. 1 (2024), Articles

Vol. 27 No. 1 (2024)

The Effect of E-Commerce on Gross Regional Domestic Product and Clustering of Its Characteristics by Utilizing Official Statistics and Big Data

Articles

DOI: 10.14414/jebav.v27i1.4136

Published 30-07-2024

Widhelia Echa Pramesthy⁺⁻
Putri Muthi’ah Dini⁺⁻
Muhammad Amirul Budiman⁺⁻
Zul Ahmad Esharja⁺⁻
Fitri Kartiasih⁺⁻

Widhelia Echa Pramesthy

Politeknik Statistika STIS, Jakarta Timur, DKI Jakarta, Indonesia

Putri Muthi’ah Dini

Politeknik Statistika STIS, Jakarta Timur, DKI Jakarta, Indonesia

Muhammad Amirul Budiman

Politeknik Statistika STIS, Jakarta Timur, DKI Jakarta, Indonesia

Zul Ahmad Esharja

Politeknik Statistika STIS, Jakarta Timur, DKI Jakarta, Indonesia

Fitri Kartiasih

Politeknik Statistika STIS, Jakarta Timur, DKI Jakarta, Indonesia

pdf

Keywords

GRDP
E-commerce
Cluster
Big data
Google trends

How to Cite

Pramesthy, W. E., Dini, P. M., Budiman, M. A., Esharja, Z. A., & Kartiasih, F. (2024). The Effect of E-Commerce on Gross Regional Domestic Product and Clustering of Its Characteristics by Utilizing Official Statistics and Big Data. Journal of Economics, Business, and Accountancy Ventura, 27(1), 14-32. https://doi.org/10.14414/jebav.v27i1.4136

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.

Abstract

The objective of this study is to examine the impact of e-commerce on Gross Regional Domestic Product (GRDP) and categorize GRDP according to e-commerce features in 17 provinces throughout Java, Sumatra, and Bali. The Human Development Index (HDI), which measures people's proficiency with technology—among which is e-commerce—is greatest on these three islands. This study makes use of big data in the form of Google Trends data as well as official statistics data obtained from the BPS-Statistics Indonesia. K-means clustering and regression analysis are the research methods employed. The study's findings demonstrate that the three islands' GDP growth rates are considerably accelerated by e-commerce companies. There were two ideal clusters identified: the low and high GRDP clusters. All of the provinces on the island of Java are included in the high cluster, with the exception of Central Java, which is distinguished by high transaction values and e-commerce-related keyword searches. Provinces in the low cluster are located on the Indonesian islands of Sumatra and Bali, and they are distinguished by the usage of Cash on Delivery (COD) and a limited number of employees in e-commerce businesses.

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The Effect of E-Commerce on Gross Regional Domestic Product and Clustering of Its Characteristics by Utilizing Official Statistics and Big Data

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