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Inventory management for essential oil UMKM: enhancing business performance with data mining Luky Fabrianto; Johan Hendri Prasetyo; Novianti Madhona Faizah; Susi Solichatun
Jurnal Mantik Vol. 7 No. 2 (2023): Agustus: Manajemen, Teknologi Informatika dan Komunikasi (Mantik)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/mantik.v7i2.3909

Abstract

Micro, small, and medium enterprises (UMKM) play a critical role in driving economic growth and employment opportunities in Indonesia. PT Sukacita Kokoh Bersama (SKB), a company specializing in essential oil sales, exemplifies the dynamic nature of UMKM by embracing technological advancements to thrive in the competitive market. To address the challenge of optimizing inventory management, SKB implemented data mining techniques, specifically the Apriori algorithm, to uncover hidden relationships among different oil types and gain insights into consumer preferences and purchasing behavior. The study aimed to identify relevant sales patterns and predict demand for each oil type. With a threshold of 30%, several rules were generated, including "If customers purchase Lavender Oil and Lemon Oil together, there is a 53% confidence that they will also purchase Peppermint Oil". This research showcases the importance of data mining in enhancing inventory management and decision-making processes for UMKM like SKB.
Factor analysis of online repurchase intention on telemedicine services Johan Hendri Prasetyo; Ch. Endah Winarti; Yohanes Ferry Cahaya; Markonah Markonah
Enrichment : Journal of Management Vol. 13 No. 3 (2023): August: Management Science And Field
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/enrichment.v13i3.1548

Abstract

Massive development that currently happen in digital world may affects various industrial sectors, including the health industry with its application of telemedice services. Through this phenomenon, this research has purpose to analyze the factors which could affecting online repurchase intention in one of the telemedicine services in Indonesia, namely Halodoc. The research method used is quantitative-causality through 200 respondents which taken by snowball method and then analyzed through PLS-SEM modeling. Research findings show the direct influence of e-service quality and e-recovery in increasing e-loyalty and online repurchase intention, moreover e-loyalty also found to have direct and indirect effect in boosting online repurchase intention.