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All Journal Jurnal Mantik
Luky Fabrianto
Universitas Nusa Mandiri, Indonesia
Computer Science & IT Economics, Econometrics & Finance Languange, Linguistic, Communication & Media

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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.
Strategic insights from clustering analysis of essential oil sales in UMKM: A comprehensive study on product types, sizes, couriers, and distribution across Indonesian Provinces Novianti Madhona Faizah; Desyi Erawati; Shirlyani Shirlyani; Luky Fabrianto; Tiwuk Wahyuli Prihandayani
Jurnal Mantik Vol. 7 No. 4 (2024): February: 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.v7i4.4694

Abstract

This study explores the sales transactions of a Micro, Small, and Medium Enterprise (UMKM) that sells over 40 types of essential oils, totaling 2305 items sold in 2023. The products, packaged in small bottles (10-50 ml), were distributed to almost every province in Indonesia. The main objective is to cluster the data based on variables such as oil type, bottle size, courier company, and destination province. The elbow method determined an optimal number of clusters (k=4), and the Silhouette Coefficient validated the effectiveness of the clustering (0.7614). To simplify the complex clustering results, Principal Component Analysis (PCA) was used for visualization, providing a clear representation of 5 variables and 4 clusters. This study offers valuable insights for informed decision-making in UMKM's service enhancement and development
Co-Authors Desyi Erawati Johan Hendri Prasetyo Novianti Madhona Faizah Novianti Madhona Faizah Shirlyani Shirlyani Susi Solichatun Tiwuk Wahyuli Prihandayani