eprintid: 56631
rev_number: 17
eprint_status: archive
userid: 1636
dir: disk0/00/05/66/31
datestamp: 2026-10-08 02:24:00
lastmod: 2026-10-08 02:24:00
status_changed: 2026-10-08 02:24:00
type: article
metadata_visibility: show
creators_name: Hasan, Firman Noor
creators_id: firman.noorhasan@uhamka.ac.id
creators_orcid: 0000-0002-1246-3462
title: (EDUMATIC - S3) - Rahman, Hasan [2026-08-29]
ispublished: pub
subjects: T1
divisions: 55201
abstract: Perishable inventory management remains a major challenge for fresh produce MSMEs because of demand uncertainty, product deterioration, and limited data-driven replenishment strategies. Although FP-Growth has been widely applied in market basket analysis, its role in transforming consumer purchasing patterns into operational inventory decisions is limited. This study develops ​an FP-Growth-based decision-support framework to identify purchasing associations that can support replenishment planning in perishable retail environments. This study adopts the Knowledge Discovery in Databases (KDD) framework and analyzes 100 real-world transaction records from a traditional fresh produce retailer. Transaction data were preprocessed and analyzed using association rule mining with a minimum support of 18% and a minimum confidence of 90%. The results generated 12 relevant association rules, with the strongest rule involving shallots and oranges leading to chili purchases, with 100% confidence and a lift value of 1.493. These findings indicate that FP-Growth can extract interpretable purchasing relationships to support coordinated procurements and inventory planning. This study contributes to the literature by extending association rule mining from descriptive market analysis to an explainable inventory decision-support approach for perishable MSMEs. Further validation using larger and multi-location datasets is recommended for future studies.
date: 2026-08-29
date_type: published
publisher: Universitas Hamzanwadi
official_url: https://e-journal.hamzanwadi.ac.id/index.php/edumatic/article/view/35983
id_number: https://doi.org/10.29408/edumatic.v10i2.35983
full_text_status: public
publication: EDUMATIC: Jurnal Pendidikan Informatika
volume: 10
number: 2
pagerange: 480-489
refereed: TRUE
issn: 2549-7472
related_url_url: https://e-journal.hamzanwadi.ac.id/index.php/edumatic/index
related_url_type: pub
citation:   Hasan, Firman Noor  (2026) (EDUMATIC - S3) - Rahman, Hasan [2026-08-29].  EDUMATIC: Jurnal Pendidikan Informatika, 10 (2).  pp. 480-489.  ISSN 2549-7472     
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