IMPLEMENTASI ALGORITMA K-MEANS UNTUK PENGELOMPOKAN PRODUK TERLARIS PADA PANGKALAN SUDIAWATI BEKASI
Abstract
Pangkalan Sudiawati Bekasi is a business engaged in household goods distribution with a central warehouse that stores various products. However, the sales data management process is still conducted manually through bookkeeping, which often leads to recording errors and difficulties in identifying the most demanded products. This issue results in ineffective decision-making regarding stock procurement, potentially causing losses due to unsold products. This study aims to design a sales data management system that can effectively identify best-selling products. The approach used in this research is the CRISP-DM (Cross-Industry Standard Process for Data Mining) methodology as a system development framework, combined with the K-Means Clustering algorithm to group sales data based on product demand levels. The results of this study indicate that the developed system is capable of classifying products into several categories, such as highly demanded, moderately demanded, and less demanded products. This classification assists Pangkalan Sudiawati in making more accurate decisions regarding inventory management and improving the efficiency of sales data processing.
References
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[25] M. Hendriawan, T. Budiman, V. Yasin, and A. S. Rini, “PENGEMBANGAN APLIKASI E-COMMERCE DI PT. PUTRA SUMBER ABADI MENGGUNAKAN FLUTTER,” J. Inf. Syst. Informatics Comput., vol. 5, no. 1, pp. 69–88, 2021, doi: https://doi.org/10.52362/jisicom.v5i1.371.
[26] H. Hamidah, V. Yasin, R. Hartawan, and A. Z. Sianipar, “Designing a warehouse management information system:(Cases Study: PT. Fatijja Digital Indonesia),” J. Math. Technol., vol. 1, no. 2, pp. 91–103, 2022, [Online]. Available: http://journal.binainternusa.org/index.php/matech/article/view/75
[27] V. Yasin, M. Zarlis, O. S. Sitompul, and P. Sihombing, “Hierarchical Of Grid Partition (HGP) For Measuring The Similarity Of Data In Optimizing Data Accuracy.,” Webology, vol. 19, no. 2, pp. 1495–1514, 2022, [Online]. Available: https://www.webology.org/abstract.php?id=1369
[2] J. Nasir, “Penerapan Data Mining Clustering Dalam Mengelompokan Buku Dengan Metode K-Means,” Simetris, vol. 11, no. 2, pp. 690–703, 2021, doi: 10.24176/simet.v11i2.5482.
[3] R. Gustrianda and D. I. Mulyana, “Penerapan Data Mining Dalam Pemilihan Produk Unggulan dengan Metode K-Means dan K-Medoids,” Jurnal Media Informatika Budidarma, vol. 6, no. 1, p. 27, 2022, doi: 10.30865/mib.v6i1.3294.
[4] I. Nawangsih, R. Puspita, and Suherman, “Implementasi Algoritma K-Means Dalam Mengkategorikan Produk Terlaris,” Pelita Teknologi, vol. 16, no. 1, pp. 79–87, 2021.
[5] H. N. Turnip and H. Fahmi, “Penerapan Data Mining Pada Penjualan Kartu Paket Internet Dengan Metode K-Means,” JIKOMSI, vol. 4, no. 2, pp. 36–41, 2021.
[6] M. Z. Imtiyaz, M. Nasrun, and U. A. Ahmad, “Analisis dan Implementasi Framework CRISP-DM untuk Data Transaksi Pelanggan,” e-Proceeding Engineering, vol. 2, no. 1, pp. 596–602, 2015.
[7] T. Syahril, A. Sulistyanto, J. Johan, and V. Yasin, “PERANCANGAN SISTEM INFORMASI ABSENSI KARYAWAN BERBASIS WEB (STUDI KASUS: CV ANEKA GARMINDO),” J. Manajamen Inform. Jayakarta, vol. 3, no. 4, pp. 382–395, 2023, doi: https://doi.org/10.52362/jmijayakarta.v3i4.1054.
[8] I. Ihramsyah, V. Yasin, and J. Johan, “Perancangan Aplikasi Sistem Informasi Penjualan Makanan Cepat Saji Berbasis Web Studi Kasus Kedai Cheese. Box,” J. Widya, vol. 4, no. 1, pp. 117–139, 2023, doi: https://doi.org/10.54593/awl.v4i1.170.
[9] N. Amalya and V. Yasin, “Perbandingan Algoritma Resilient Backpropagation Dan Conjugate Gradient Polak-Ribiere Dalam Memprediksi Penyakit Stroke,” J. Inov. Sist. Inf. Ilmu Komput., vol. 1, no. 1, pp. 12–19, 2023, [Online]. Available: https://jisiilkom.org/index.php/journal/article/view/6
[10] H. Iswanto, V. Yasin, J. Johan, and R. Hartawan, “MONITORING APPLICATION FOR SUBMISSION OF PBJ TRANSACTION REPORTS ON PPATK,” JISICOM (Journal Inf. Syst. Informatics Comput., vol. 7, no. 1, pp. 179–187, 2023, doi: https://doi.org/10.52362/jisicom.v7i1.704.
[11] A. Jazaudhi’fi, A. V. Vitianingsih, Y. Kristyawan, A. L. Maukar, and V. Yasin, “Recommendation System to Determine Achievement Students Using Naïve Bayes and Simple Additive Weighting (SAW) Methods,” Digit. Zo. J. Teknol. Inf. dan Komun., vol. 15, no. 1, pp. 67–79, 2024, doi: https://doi.org/10.31849/digitalzone.v15i1.19746.
[12] M. Z. Ardha, V. Yasin, and S. Solikhun, “The Application of the Fletcher-Reeves Algorithm to Predict Spinach Vegetable Production in Sumatra,” Int. J. Eng. Comput. Sci. Appl., vol. 2, no. 1, pp. 11–22, 2023, doi: https://doi.org/10.30812/ijecsa.v2i1.2417.
[13] V. Yasin, S. Oktaviani, M. Awaludin, and I. Junaedi, “Levenberg Marquardt Backpropagation Algorithm in Predicting Potential Mortality in Heart Failure,” Proc. 3rd Int. Conf. Adv. Inf. Sci. Dev. - ICAISD, vol. 1, pp. 72–75, 2024, doi: 10.5220/0012444100003848.
[14] A. V. Vitianingsih, C. Ullum, A. L. Maukar, V. Yasin, and S. F. A. Wati, “Mapping Residential Land Suitability Using a WEB-GIS-Based Multi-Criteria Spatial Analysis Approach: Integration of AHP and WPM Methods,” J. RESTI (Rekayasa Sist. dan Teknol. Informasi), vol. 8, no. 2, pp. 208–215, 2024, doi: https://doi.org/10.29207/resti.v8i2.4520.
[15] M. Usnaini, V. Yasin, and A. Z. Sianipar, “Perancangan sistem informasi inventarisasi aset berbasis web menggunakan metode waterfall,” J. Manajamen Inform. Jayakarta, vol. 1, no. 1, pp. 36–55, 2021, doi: https://doi.org/10.52362/jmijayakarta.v1i1.415.
[16] A. Mardian, T. Budiman, R. Haroen, and V. Yasin, “Perancangan Aplikasi Pemantauan Kinerja Karyawan Berbasis Android di PT. Salestrade Corp. Indonesia,” J. Manajamen Inform. Jayakarta, vol. 1, no. 3, pp. 169–185, 2021, doi: https://doi.org/10.52362/jmijayakarta.v1i3.481.
[17] S. Cahyadi, V. Yasin, M. Narji, and A. Z. Sianipar, “Perancangan Sistem Informasi Pengiriman Dan Penerimaan Soal Ujian Berbasis Web (Studi Kasus: Fakultas Komputer Universitas Bung Karno),” J. Inf. Syst. Informatics Comput., vol. 4, no. 1, pp. 1–16, 2020, [Online]. Available: https://journal.stmikjayakarta.ac.id/index.php/jisicom/article/view/199
[18] V. Yasin, P. Peniarsih, A. Gozali, and I. Junaedi, “Application of expert system diagnosis of color blindness with ishihara method with microsoft vb 6.0,” Int. J. Informatics, Econ. Manag. Sci., vol. 1, no. 1, pp. 13–31, 2022, doi: https://doi.org/10.52362/ijiems.v1i1.678.
[19] I. Junaedi, D. Abdillah, and V. Yasin, “Analisis Perancangan Dan Pembangunan Aplikasi Business Intelligence Penerimaan Negara Bukan Pajak Kementerian Keuangan RI,” J. Inf. Syst. Applied, Manag. Account. Res., vol. 4, no. 3, pp. 88–101, 2020, [Online]. Available: https://journal.stmikjayakarta.ac.id/index.php/jisamar/article/view/249
[20] M. Awaludin and V. Yasin, “Application of Oriented Fast and Rotated BRIEF ( ORB ) and BruteForce Hamming in Library OpenCV for Classification,” J. Inf. Syst. Applied, Manag. Accounting, Reserarch. Jakarta., vol. 4, no. 3, pp. 51–59, 2020, [Online]. Available: https://journal.stmikjayakarta.ac.id/index.php/jisamar/article/view/247
[21] A. Rohmadi and V. Yasin, “Desain dan penerapan website tata kelola percetakan pada CV Apicdesign Kreasindo Jakarta dengan metode prototyping,” J. Inf. Syst. Informatics Comput., vol. 4, no. 1, pp. 70–85, 2020, [Online]. Available: https://journal.stmikjayakarta.ac.id/index.php/jisicom/article/view/210
[22] N. Mulyana, A. Sulistyanto, and V. Yasin, “PERANCANGAN SISTEM INFORMASI PENGELOLAAN ASET IT BERBASIS WEB PADA PT MANDIRI AXA GENERAL INSURANCE,” J. Manajamen Inform. Jayakarta, vol. 1, no. 3, pp. 243–257, 2021, doi: https://doi.org/10.52362/jmijayakarta.v1i3.498.
[23] P. Setiani, I. Junaedi, A. Z. Sianipar, and V. Yasin, “Perancangan sistem informasi pelayanan penduduk berbasis website di rw 010 Kelurahan Keagungan Kecamatan Tamansari-Jakarta Barat,” J. Manajamen Inform. Jayakarta, vol. 1, no. 1, pp. 20–35, 2021, doi: https://doi.org/10.52362/jmijayakarta.v1i1.414.
[24] V. Yasin, M. Zarlis, and M. K. M. Nasution, “Filsafat Logika Dan Ontologi Ilmu Komputer,” J. Inf. Syst. Applied, Manag. Account. Res., vol. 2, no. 2, pp. 68–75, 2018, [Online]. Available: http://journal.stmikjayakarta.ac.id/index.php/jisamar/article/view/39
[25] M. Hendriawan, T. Budiman, V. Yasin, and A. S. Rini, “PENGEMBANGAN APLIKASI E-COMMERCE DI PT. PUTRA SUMBER ABADI MENGGUNAKAN FLUTTER,” J. Inf. Syst. Informatics Comput., vol. 5, no. 1, pp. 69–88, 2021, doi: https://doi.org/10.52362/jisicom.v5i1.371.
[26] H. Hamidah, V. Yasin, R. Hartawan, and A. Z. Sianipar, “Designing a warehouse management information system:(Cases Study: PT. Fatijja Digital Indonesia),” J. Math. Technol., vol. 1, no. 2, pp. 91–103, 2022, [Online]. Available: http://journal.binainternusa.org/index.php/matech/article/view/75
[27] V. Yasin, M. Zarlis, O. S. Sitompul, and P. Sihombing, “Hierarchical Of Grid Partition (HGP) For Measuring The Similarity Of Data In Optimizing Data Accuracy.,” Webology, vol. 19, no. 2, pp. 1495–1514, 2022, [Online]. Available: https://www.webology.org/abstract.php?id=1369
Published
2026-04-18
How to Cite
HANDAYANI, Dwipa et al.
IMPLEMENTASI ALGORITMA K-MEANS UNTUK PENGELOMPOKAN PRODUK TERLARIS PADA PANGKALAN SUDIAWATI BEKASI.
Jurnal Manajamen Informatika Jayakarta, [S.l.], v. 6, n. 2, p. 160-171, apr. 2026.
ISSN 2797-0930.
Available at: <https://www.journal.stmikjayakarta.ac.id/index.php/JMIJayakarta/article/view/2374>. Date accessed: 19 apr. 2026.
doi: https://doi.org/10.52362/jmijayakarta.v6i2.2374.
Section
Articles
This work is licensed under a Creative Commons Attribution 4.0 International License.
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