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

Authors

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

DOI:

https://doi.org/10.14414/jebav.v27i1.4136

Keywords:

GRDP, E-commerce, Cluster, Big data, Google trends

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.

Author Biographies

Widhelia Echa Pramesthy, Politeknik Statistika STIS, Jakarta Timur, DKI Jakarta, Indonesia

Widhelia Echa Pramesthy, Putri Muthi'ah Dini, Amirul Budiman, and Zul Ahmad Esharja are recent graduates from Politeknik Statistika STIS, where they completed their studies in 2024, majoring in Computational Statistics with a focus on Data Science. They all hold the degree of S.Tr.Stat (Bachelor of Applied Statistics). For correspondence, they can be contacted at echawidhelia39@gmail.com, putrimutiahd@gmail.com, budiamirul@gmail.com, and zulahmadesharja@gmail.com, respectively.

Fitri Kartiasih, Politeknik Statistika STIS, Jakarta Timur, DKI Jakarta, Indonesia

Fitri Kartiasih is an assistant professor at Politeknik Statistika STIS, Jakarta, Indonesia. She received her B.S. degree from Sekolah Tinggi Ilmu Statistik (STIS), M.Sc degree in Economics from Institut Pertanian Bogor, and Ph.D. degree in Economics from Universitas Indonesia. She teaches several subjects, such as Time Series Analysis, Official Statistics, and National Account Statistics. For correspondence, she can be contacted at fkartiasih@stis.ac.id.

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