Algor
Vol. 7 No. 1 (2025): Another Day, Another Technology

Pengaruh Penerapan Algoritma Sistem Rekomendasi terhadap Keputusan Pra-Pembelian Konsumen Shopee Indonesia

Jonathan, Christy (Unknown)
Fidela, Cecilia (Unknown)
Aisya, Annaiya Rihhadatul (Unknown)
Andrew (Unknown)
Sutawijaya, Bernard Limasta (Unknown)
Athallah, Muhammad Ifdal (Unknown)



Article Info

Publish Date
30 Sep 2025

Abstract

COVID-19 pandemic has altered many fields, including trades. Related direct activities have currently shifted to online through e-commerce. One of those popular ones is Shopee. This study is conducted in order to seek the influence of the recommender system algorithm towards the pre-purchase decision of Indonesian Shopee users. Quantitative methods of research methodology are used to collect primary data through questionnaire distribution. Secondary data are compiled with qualitative methods through literature review based on various journal articles and books on information systems and consumer behavior. Results of the study implied that Shopee’s recommender system prompts its users to seek more information about products of their needs. Information gained by users will be used as their consideration material before committing the transaction. Such behavior is concluded as the pre-purchase decision. The algorithms in the recommender system are proven to positively influence the pre-purchase decision of Indonesian Shopee consumers.

Copyrights © 2025






Journal Info

Abbrev

algor

Publisher

Subject

Computer Science & IT

Description

The ALGOR Journal is open access published by the Faculty Sains & Technology of Buddhi Dharma University. ALGOR main goal is to provide a platform for academics, researchers and students to share contemporary thinking in the field of informatics. The ALGOR Journal publishes research papers in ...