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AN EVALUATIVE STUDY OF THE OPERATIONAL EFFICACY OF MSME’s IN PALANGKA RAYA UTILIZING THE K-MEANS CLUSTERING ALGORITHM

Year: 2024

Type: article

Abstract: Objective – This study aims to categorize MSMEs in Palangka Raya City based on their performance and competitiveness using the K-Means Clustering methodology.Design/Methodology/Approach – Data were collected through surveys of 100 MSMEs, focusing on financial performance, product sales, and marketing strategies, and analyzed using KNIME software to create homogeneous clusters.Findings – The analysis identified three distinct clusters of MSMEs: those with high product diversity, strong financial stability, and emerging MSMEs, each with unique attributes for targeted strategy formulation.Conclusion and Implications – The study provides strategic recommendations for local governments to enhance MSME competitiveness and foster sustainable economic growth through tailored programs and initiatives.

Source: Jurnal Manajemen Sains dan Organisasi

DOI: 10.52300/jmso.v5i3.18833

Authors: Jonathan Giovanni, Pratiwi Subianto, Alicia Christina Mahar, Fricella Aprianda

Institution: University of Palangka Raya

Language: English

Topic: Data Mining and Machine Learning Applications

Subfield: Information Systems

Field: Computer Science

Domain: Physical Sciences

SDGs: Decent work and economic growth, Industry, innovation and infrastructure

Open Access status: hybrid

OpenAlex ID: W4406591226

FWCI: 0.387

Cites:

Cited by: 1

Related to: 10