Analysis of Central Location Management of Grain Processing Locations Using K-Mean Clustering with Python Language
Downloads
One of the interesting topics in operational management is the selection of processing center locations. The right location will determine the efficiency of results so that product prices will be competitive when entering the consumer market. analysis of determining the center of the location can use several methods, from simply using a spreadsheet to using a programming language. In this paper, an analysis will be carried out to determine the location of the center for grain processing (RMU, Rice Milling Unit) in Malang Regency. The analysis was carried out using the K-Means Cluster method with the Python language. With the input of spatial data on the location and area of rice fields in 390 villages in Malang Regency and the central estimation point variables (K): 4, 5 and 6. The results of the analysis obtained 6 proposed cluster center locations that can be used for consideration in determining the location of agriculture-based businesses.
Arvai, Kevin (2020). K-Means Clustering in Python: A Practical Guide . © 2012–2022 Real Python, https://realpython.com/k-means-clustering-python/#reader-comments
Ahmed M, Seraj R, Islam SMS (2020). The K-means Algorithm: A Comprehensive Survey and Performance Evaluation. Electronics. 2020; 9(8):1295. https://doi.org/10.3390/electronics9081295.
Kevin Arvai. (2018). K-Means Clustering in Python: A Practical Guide. https://realpython.com/k-means-clustering-python/
Leonard Kaufman, Peter J. Rousseeuw. (First published: 8 March 1990. Finding Groups in Data: An Introduction to Cluster Analysis., Print ISBN:9780471878766 |Online
ISBN:9780470316801 |DOI:10.1002/9780470316801,
Castaka Agus Sugianto, Tri Pratiwi Olivia Riska Bokings (2021). K-Means Algorithm For Clustering Poverty Data in Bangka Belitung Island Province. Computer Networks, Architecture and High Performance Computing, January 2021.
Dian Juli Adisaputra, Sigit Nugroho, Pepi Novianti, (2017). Pengelompokan Provinsi Di Indonesia Berdasarkan Rata-Rata Produksi Tanaman Pangan Menggunakan Metode Cluster K-Means. http://repository.unib.ac.id.
Dongkuan Xu, Yingjie Tian, [2015]. A Comprehensive Survey of Clustering Algorithms. Ann.Data.Sci.(2015) 2(2):165-103,
Ioan-DanielBorlea, Radu-EmilPrecup, Alexandra-BiancaBorlea [2022]. Improvement Of K-Means Cluster Quality By Post Processing Resulted Clusters. Procedia Computer Science Volume 199, 2022, Pages 63-70, Elsevier.
K-Means cluster analysis. (2007a). In Encyclopedia of Measurement and Statistics. Sage Publications, Inc. http://dx.doi.org/10.4135/9781412952644.n237
K. Maheswari (2019). Finding the Best Possible Number of Clusters using K-Means Algorithm. International Journal of Engineering and Advanced Technology (IJEAT) ISSN: 2249 – 8958, Volume-9 Issue-1S4, December 2019.
Jianhang Jiang, (2021). K-Means Clustering in R. https://jinhangjiang.medium.com.
Maria Gulzar, [2021], “K-Means Clustering: Concepts and Implementation in R for Data Science”, https://towardsdatascience.com/k-means-clustering-concepts-and-implementation-in-r-for-data-science-32cae6a3ceba.
Martine Cadot, Alain Lelu, Michel Zitt. (2018). Benchmarking seventeen clustering methods on a text dataset. [Research Report] LORIA. 2018. ffhal-01532894v6ff.
Mokhammad Ridwan Yudhanegara, Sapto Wahyu Indratno, RR Kurnia Novita Sari. [2019]. Clustering for Item Delivery Using Rule-K-Means. Journal Of Indonesian Mathematical Society Volume 26 Number 2 (July 2020),
Nasri, M. (2022). Determining The Location Of RMU, Using K-Means Clustering, Evaluate The Location Of Existing RMU, Using R-Programming. JITE (Journal Of Informatics And Telecommunication Engineering), 6(1), 10-17. https://orcid.org/0000-0003-1151-1116/print.
Nurhayati Buslim, Rayi Pradono Iswara, Fajar Agustian (2020). The Modeling Of "Mustahiq" Data Using K-Means Clustering Algorithm And Big Data Analysis (Case Study: Laz). Jurnal Teknik Informatika, UIN Syarif Hidayatullah, Jakarta, Vol 13, No 2 (2020).
Pararawendy Indarjo, (2020). Using Weighted K-Means Clustering to Determine Distribution Centres Locations.
https://medium.com/@pararawendy19? source=post_page-----2567646fc31d-, 25 Januari 2020.
Teknomo, Kardi, Ph.D, (2007). K-Means Clustering Tutorials. http:people.revoledu.comkardi tutorialkMean.
Rita Herawaty Br Bangun, (2016). Analisis Cluster Non-Hierarki Dalam Pengelompokan Kabupaten/Kota Di Sumatera Utara Berdasarkan Faktor Produksi Padi. Jurnal Agrica, Vol 9, No 1 (2016), OJS Universitas Medan Area.
Shamitha S K, V Ilango (2019). A Roadmap For Intelligent Data Analysis Using Clustering Algorithms And Implementation On Health Insurance Data. International Journal of Scientific & Technology Research, Volume 8 - Issue 10, October 2019 Edition.
Tampubolon, Manahan P. (2018). Manajemen Operasi dan Rantai Pasok. Edisi Revisi, Penerbit Mitra Wacana Media, Jakarta.
Wahyudi, M., Masitha, M., Saragih, R., & Solikhun, S. (2020). Data Mining: Penerapan Algoritma K-Means Clustering dan K-Medoids Clustering. Yayasan Kita Menulis.
Xu-Tian, [2015], “A Comprehensive Survey of Clustering Algorithm”,
Yusup Miftahuddin, Sofia Umaroh, Fahmi Rabiul Karim, (2020) “Perbandingan Metode Perhitungan Jarak Euclidean, Haversine, Dan Manhattan Dalam Penentuan Posisi Karyawan (Studi Kasus : Institut Teknologi Nasional Bandung)”, Jurnal Tekno Insentif | ISSN (p): 1907-4964 | ISSN (e): 2655-089X, Halaman 69-77, Oktober 2020,
Note: The calculation uses R programming language, namely RStudio and Python, the source program, data and results can be downloaded here. https://github.com/nasriaw/clustering-rice Rantai Pasok Prof.Dr. Manahan Siahaan, SE, MM
