AN EVALUATIVE STUDY OF THE OPERATIONAL EFFICACY OF MSME’s IN PALANGKA RAYA UTILIZING THE K-MEANS CLUSTERING ALGORITHM
DOI:
https://doi.org/10.52300/jmso.v5i3.18833Keywords:
MSMEs, Peformance, Clustering, K-Means, Palangka RayaAbstract
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.
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References
Abdullah, D., Susilo, S., Ahmar, A. S., Rusli, R., & Hidayat, R. (2022). The application of K-means clustering for province clustering in Indonesia of the risk of the COVID-19 pandemic based on COVID-19 data. Quality & Quantity, 56(3), 1283–1291.
Ahmed, M., Seraj, R., & Islam, S. M. S. (2020). The k-means algorithm: A comprehensive survey and performance evaluation. Electronics, 9(8), 1295.
Akhmad, A., Khalid, I., & Asdar, A. (2023). Strategy for Development of Micro, Small and Medium Enterprises in Gowa Regency, Indonesia. European Journal of Development Studies, 3(5), 7–15.
Alexandropoulos, S.-A. N., Kotsiantis, S. B., & Vrahatis, M. N. (2019). Data preprocessing in predictive data mining. The Knowledge Engineering Review, 34, e1.
Chen, Y. T., & Witten, D. M. (2022). Selective inference for k-means clustering. ArXiv Preprint ArXiv:2203.15267.
Christa, U. R., Wardana, I. M., Dwiatmadja, C., & Kristinae, V. (2020). The role of value innovation capabilities in the influence of market orientation and social capital to improving the performance of central Kalimantan bank in Indonesia. Journal of Open Innovation: Technology, Market, and Complexity, 6(4), 140.
Dinas Koperasi dan UMKM. (2023). Pertumbuhan Usaha Mikro, Kecil Dan Menengah Provinsi Kalimantan Tengah. https://diskopukm.kalteng.go.id/dataukm
Ghazal, T. M. (2021). Performances of k-means clustering algorithm with different distance metrics. Intelligent Automation & Soft Computing, 30(2), 735–742.
Giovanni, J., & Subianto, P. (2023). Pengembangan Konseptual Model Peningkatan Sumber Daya Manusia Menuju Kemandirian UMKM di Kota Palangka Raya. Competence: Journal of Management Studies, 17(2).
Giovanni, J., Subianto, P., Sugiarti, M., & Utami, H. W. (2023). Sustainable Development Goals: Strategy for Increasing Human Resources Towards the Independence of MSMEs. Jurnal Manajemen Sains Dan Organisasi, 4(3), 339–352. https://doi.org/10.52300/jmso.v4i3.11993
Heryati, A., & Herdiansyah, M. I. (2020). The Application of Data Mining by using K-Means Clustering Method in Determining New Students’ Admission Promotion Strategy. International Journal of Engineering and Advanced Technology, 9(3), 824–833.
Kristinae, V., Sambung, R., Meitiana, M., Mering, L., Dwiatmadja, C., & Tunjang, H. (2023). Application of RBV theory in entrepreneurial orientation, dynamic capability and customer relationship management. Uncertain Supply Chain Management, 11(2), 707-712.
Mantikei, B., Christa, U. R., Sintani, L., Negara, D. J., & Meitiana, M. (2020). The role of responsible leadership in determining the triple-bottom-line performance of the Indonesian tourist industry. Contemporary Economics, 466-476.
Marcelina, D., Kurnia, A., & Terttiaavini, T. (2023). Analisis Klaster Kinerja Usaha Kecil dan Menengah Menggunakan Algoritma K-Means Clustering: Cluster Analysis of Small Medium Enterprise Performance with K-Means Clustering Algorithm. MALCOM: Indonesian Journal of Machine Learning and Computer Science, 3(2), 293–301.
Negara, D. J., Ferdinand, F., Meitiana, M., Astuti, M. H., Anden, T., Sarlawa, R., & Mahrita, A. (2021). Knowledge Sharing Behavior In Indonesia: An Application Of Planned Behaviour Theory. The Journal Of Asian Finance, Economics And Business, 8(3), 1053-1064.
Peridawaty, P., Toendan, R., & Wenthe, I. (2021). The effects of entrepreneurial orientation and organizational learning on marketing capability in supply chain management. Uncertain Supply Chain Management, 9(1), 21-30.
Rahmanto, B. T., Nurjanah, S., & Darmo, I. S. (2018). Peran Komunitas Dalam Meningkatkan Kinerja Ukm (Ditinjau Dari Faktor Internal). Jurnal Riset Manajemen Dan Bisnis (JRMB) Fakultas Ekonomi UNIAT, 3(1), 18.
Sari, A. F., Sampurna, R. H., & Meigawati, D. (2022). Stategi Dinas Koperasi, UKM, Perdagangan dan Perindustrian dalam Pemberdayaan UMKM di Kota Sukabumi. Jurnal Inovasi Penelitian, 2(10), 3353–3360.
Tamba, S. P., Batubara, M. D., Purba, W., Sihombing, M., Siregar, V. M. M., & Banjarnahor, J. (2019). Book data grouping in libraries using the k-means clustering method. Journal of Physics: Conference Series, 1230(1), 12074.
Terttiaavini, T., Sofian, S., & Saputra, T. S. (2021). Pendampingan Penyusunan Program Rencana Kerja Badan Usaha Milik Desa Dalam Rangka Optimalisasi Potensi Desa Serijabo Ogan Ilir Sumatera Selatan. JMM (Jurnal Masyarakat Mandiri), 5(6), 3536–3546.
Wahyudi, E. N., Utomo, A. P., & Mariana, N. (2019). Pengelompokan Jenis Usaha Umkm Kota Semarang Dalam Rangka Proses Pembinaan Dan Pendampingan Untuk Pengembangan Usaha Dengan Teknik Data Mining. Dinamik, 24(1), 13–20.
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