Article Per Year (5 Year)
p-Index From 2021 - 2026
2.727
P-Index
This Author published in this journals
All Journal E-Journal of Tourism Jurnal Ilmu Sosial dan Humaniora Ekuitas: Jurnal Pendidikan Ekonomi Jurnal Ekonomi & Studi Pembangunan KARSA: Jurnal Sosial dan Budaya Keislaman (Journal of Social and Islamic Culture) Region : Jurnal Pembangunan Wilayah dan Perencanaan Partisipatif Jurnal Mantik Jurnal Ekuilnomi Dinamika Journal of Administrative and Sosial Science (JASS) Journal of Scientific Research, Education, and Technology Jurnal Ekonomi Kreatif dan Manajemen Bisnis Digital (JEKOMBITAL) Ekuitas Jurnal Pnedidikan Ekonomi
Arisanti Ayu Wardhani
Unknown Affiliation
Religion Arts Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Engineering Environmental Science Languange, Linguistic, Communication & Media Social Sciences Other

Published : 16 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search
Journal : Jurnal Mantik

 1 
Application of the LSE (longevity, scale, employee) framework for characterizing MSMEs with the k-means algorithm: a case study in semarang city Syafrudin, Hasan Aminda; Wardhani, Arisanti Ayu; Shibghatalloh, Ahmad Hafiyyan
Jurnal Mantik Vol. 9 No. 4 (2026): 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.v9i4.7040

Abstract

The diversity of characteristics among Micro, Small, and Medium Enterprises (MSMEs) often poses a challenge for effective policy formulation, where a one-size-fits-all approach fails to distinguish the specific needs of each business. This study aims to overcome the limitations of administrative segmentation by applying a new behavior-based framework, namely LSE (Longevity, Scale, Employment), to characterize the typology of MSMEs in the city of Semarang. The research method adapts the principles of Recency, Frequency, Monetary (RFM) into business metrics: Longevity (resilience), Scale (maturity), and Employment (socio-economic impact). Using data sourced from the Semarang City Cooperative and MSME Office, this study analyzed 8,804 valid MSME data points through a K-Means Clustering algorithm optimized with the Elbow Method. The results identified three distinct clusters: Sustainable Businesses, Accelerative Businesses, and Stagnant Micro Businesses. These findings validate the effectiveness of the LSE model in mapping business heterogeneity and recommend a paradigm shift in policy towards targeted and relevant interventions for each segment.
Co-Authors Achmad Solechan Ahmad Hafiyyan Shibghatalloh Aini Nur Furoida Albertus Setyo Sumargo Cici Musliha Cici Musliha Febrianti , Anisa Millenia Glenda Angeli Hapsari Ayu Kusumawardhani Hasan Aminda Syafrudin Indah Susilowati Indah Susilowati Irfandi Pratama Islam, Gazi Md Nurul Kusumo, Haryo Made Ika Prastyadewi Musliha, Cici Nugroho SBM Pungkasa, Yeremia Satrya Sherly Arwinda Arwinda Shibghatalloh, Ahmad Hafiyyan Waridin Waridin Waridin Waridin Yohanes Dwi Mahardika Yoseph Dennis Ardianto