Articles Vol. 5, No. 1 (2027)
Dita Madonna Simanjuntak, Amri Sinuraya, Selvia De Wana
Christian University of Indonesia ROR
10.58477/cj.v5i1.528 Published: 2027-02-01
Abstract

This study examines how perceived accuracy and contextual relevance of artificial-intelligence-based product recommendations influence purchase decisions among Generation X e-commerce users in Jakarta. A quantitative explanatory design was modeled with 300 respondent profiles and 18 reflective indicators. Partial least squares structural equation modeling, 10,000-resample bootstrapping, coefficient-difference testing, and tenfold cross-validation were applied. Perceived accuracy had a stronger positive effect on purchase decisions (β=.604, p<.001) than relevance (β=.217, p<.001), and the difference was significant (Δβ=.387, p<.001). The model explained 54.2% of purchase-decision variance and showed positive Qpredict2​ values. The findings indicate an accuracy–relevance asymmetry: relevance attracts attention, whereas perceived accuracy more strongly reinforces purchase decisions.

Keywords:
Artificial Intelligence Recommender Systems Perceived Accuracy Relevance Generation X
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How to Cite

Simanjuntak, D. M., Sinuraya, A., & De Wana, S. (2027). Perceived Accuracy and Relevance of AI-Based Product Recommendations and Generation X Purchase Decisions in Jakarta. Computer Journal, 5(1), 29-37. https://doi.org/10.58477/cj.v5i1.528
Dita Madonna Simanjuntak

Christian University of Indonesia

Universitas Kristen Indonesia, East Jakarta City, Special Capital Region of Jakarta, Indonesia.

Amri Sinuraya

Christian University of Indonesia

Universitas Kristen Indonesia, East Jakarta City, Special Capital Region of Jakarta, Indonesia.

Selvia De Wana

Christian University of Indonesia

Universitas Kristen Indonesia, East Jakarta City, Special Capital Region of Jakarta, Indonesia.

Issue Vol. 5 No. 1 (2027)
SectionArticles
DOI10.58477/cj.v5i1.528
Publication Date2027-02-01
Pages29-37
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