Optimizing iPhone Spare Parts Inventory Using K-Medoid Clustering
DOI:
https://doi.org/10.69533/informatech.volume3number1.555Keywords:
Inventory management, iPhone spare parts, K-Medoid ClusteringAbstract
MR. GADGET store in Bengkulu faces significant challenges in managing iPhone spare parts inventory due to a manual recording system. This study proposes a data science-based solution using the K-Medoid Clustering algorithm to group data based on characteristic similarity. Utilizing a dataset of 471 products, this study compares K-Medoid with conventional partitioning methods (like K-Means), demonstrating its superior robustness against outliers by using actual data points as cluster centers. The clustering quality is evaluated using the Silhouette Score and Davies-Bouldin Index (DBI), yielding best-performing results with a Silhouette Score of 0.681 and a DBI of 0.798. The algorithm generates three main clusters: Fast-Moving, Medium-Moving, and Slow-Moving. The system's functionality is validated through Black Box Testing. The results indicate that this approach provides more accurate procurement recommendations, optimizes inventory turnover, and reduces the risk of inventory imbalance, offering a practical data-driven framework for local retail businesses.
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References
F. Alfiah, Almadayani, D. A. Farizi, dan E. Widodo, "Analisis Clustering K-Medoids Berdasarkan Indikator Kemiskinan Di Jawa Timur Tahun 2020," Journal Ilmiah Sains, vol. 22, no. 1, 2022. e-ISSN: 2540-9840.
N. Amida, N. Nahadi, F. M. T. Supriyanti, L. Liliasari, D. Maulana, R. Z. Ekaputri, dan I. S. Utami, "Phylogenetic analysis of Bengkulu citrus based on DNA sequencing enhanced chemistry students' system thinking skills: Literature review with bibliometrics and experiments," Indonesian Journal of Science and Technology, vol. 9, no. 2, pp. 337-354, 2024.
D. Anggraini dan M. S. Hasibuan, "Initial centroid pada algoritma K-means dan K-medoids," Jurnal Multimedia dan Teknologi Informasi (Jatilima), vol. 7, no. 03, pp. 487-500, 2025.
J. Aryandi dan O. Onsardi, "Pengaruh kualitas pelayanan dan lokasi terhadap keputusan pembelian konsumen pada Cafe Wareg Bengkulu," Jurnal Manajemen Modal Insani Dan Bisnis (Jmmib), vol. 1, no. 1, pp. 117-127, 2020.
M. W. Berry, A. Mohamed, dan B. W. Yap, Eds., Supervised and unsupervised learning for data science, vol. 10. Cham, Switzerland: Springer, 2020.
R. K. Dinata, Safwandi, N. Hasdyna, dan N. Azizah, "Analisis K-Means Clustering Pada Data Sepeda Motor," Informatics Journal, vol. 5, no. 1, 2020. ISSN: 2503-250X.
A. S. Fatah dan A. T. Hidayat, "Integrated Ensemble Forecasting and EOQ Optimization in Spare Part Inventory," Journal of Scientific Research, Education, and Technology (JSRET), vol. 4, no. 4, pp. 2414-2428, 2025.
I. Fatma, H. S. Tambunan, dan F. Rizki, "Analisis Metode K-Medoids Cluster Dalam Mengelompokkan Siswa Yang Berprestasi," Bulletin of Informatics and Data Science, vol. 1, no. 1, 2022. ISSN: 2580-8389.
A. U. Fitriyadi dan A. Kurniawati, "Analisis Algoritma K-Means dan K-Medoids Untuk Clustering Data Kinerja Karyawan Pada Perusahaan Perumahan Nasional," Jurnal KILAT, vol. 10, no. 1, 2021. e-ISSN: 2655-4925.
S. Fotopoulou, "A review of unsupervised learning in astronomy," Astronomy and Computing, vol. 48, p. 100851, 2024.
E. Herman, K. E. Zsido, dan V. Fenyves, "Cluster analysis with k-mean versus k-medoid in financial performance evaluation," Applied Sciences, vol. 12, no. 16, p. 7985, 2022.
R. N. Ibrahim, M. N. Hayati, dan F. D. T. Amijaya, "Penerapan Algoritma K-Medoids pada Pengelompokan Wilayah Desa atau Kelurahan di Kabupaten Kutai Kartanegara (Studi Kasus: Data Hasil Pendataan Potensi Desa (PODES) Tahun 2018)," Jurnal Eksponensial, vol. 11, no. 2, 2020. ISSN: 2085-7829.
G. James, D. Witten, T. Hastie, R. Tibshirani, dan J. Taylor, "Unsupervised learning," in An introduction to statistical learning: with applications in Python, Cham: Springer International Publishing, 2023, pp. 503-556.
D. Jollyta, W. Ramdhan, dan M. Zarlis, Konsep Data Mining Dan Penerapan. Yogyakarta: Deepublish, 2020.
N. Li, D. M. Arnold, D. G. Down, R. Barty, J. Blake, F. Chiang, et al., "From demand forecasting to inventory ordering decisions for red blood cells through integrating machine learning, statistical modeling, and inventory optimization," Transfusion, vol. 62, no. 1, pp. 87-99, 2022.
C. N. Manik dan L. S. Istiyowati, "Pengembangan Aplikasi E-Commerce Spare Part Berbasis IOS," Jurnal Ticom: Technology of Information and Communication, vol. 13, no. 3, pp. 123-128, 2025.
S. Naeem, A. Ali, S. Anam, dan M. M. Ahmed, "An unsupervised machine learning algorithms: Comprehensive review," International Journal of Computing and Digital Systems, 2023.
M. J. Neuer, "Unsupervised learning," in Machine Learning for Engineers: Introduction to Physics-Informed, Explainable Learning Methods for AI in Engineering Applications, Berlin, Heidelberg: Springer Berlin Heidelberg, 2024, pp. 141-172.
R. Parina, A. Wijaya, dan Y. Apridiansyah, "Aplikasi Chatbot Sebagai Media Pembelajaran Interaktif SD N 17 Kota Bengkulu Berbasis Android," Jurnal Media Infotama, vol. 18, no. 1, pp. 121-127, 2022.
H. D. Perez, C. D. Hubbs, C. Li, dan I. E. Grossmann, "Algorithmic approaches to inventory management optimization," Processes, vol. 9, no. 1, p. 102, 2021.
W. Poncotoyo, Y. Tatianan, A. Arhab, S. A. Sholihah, dan E. Saribanon, "Implementasi Analisis Fast, Slow, Non Moving (FSN) Untuk Efesiensi Pengerjaan Picking Pada Gudang 3PL," Jurnal Sistem Transportasi & Logistik, vol. 3, no. 3, pp. 160-172, 2024.
C. Prianto dan S. Bunyamin, Panduan Pembuatan Aplikasi Clustering Gangguan Jaringan Menggunakan Metode K-Means Clustering. Bandung: Penerbit Kreatif Industri Nusantara, 2020.
R. I. Putra, T. Kristanto, dan F. W. Putro, "Sistem Informasi Jasa Reparasi Gadget Berbasis Website di Toko Light Service," TIN: Terapan Informatika Nusantara, vol. 4, pp. 203-210, 2023.
B. Rajoub, "Supervised and unsupervised learning," in Biomedical signal processing and artificial intelligence in healthcare, Academic Press, 2020, pp. 51-89.
N. R. P. Ratnasari, "Comparative study of k-mean, k-medoid and hierarchical clustering using data of tuberculosis indicators in Indonesia," Indonesian Journal of Life Sciences, pp. 9-20, 2023.
A. L. Ridwan, Siswanto, dan R. T. Alinse, "Clustering Sales Patterns of Best Selling and Less Selling Products at El Jhon Bengkulu Stores Using the K-Medoid Method," Jurnal Komputer, Informasi dan Teknologi (KOMITEK), vol. 2, no. 2, pp. 637-642, 2022. https://doi.org/10.53697/jkomitek.v2i2
F. D. Savitri, "Penerapan Metode Cart Dalam Memprediksi Penjualan Produk Fast Moving Dan Slow Moving," Journal of Informatics, Electrical and Electronics Engineering, vol. 1, no. 4, pp. 119-125, 2022.
E. Setiawati, U. D. Fernanda, S. Agesti, M. Iqbal, dan M. O. A. Herjho, "Implementation of K-Means, K-Medoid and DBSCAN algorithms in obesity data clustering," IJATIS: Indonesian Journal of Applied Technology and Innovation Science, vol. 1, no. 1, pp. 23-29, 2024.
M. Seyedan, F. Mafakheri, dan C. Wang, "Order-up-to-level inventory optimization model using time-series demand forecasting with ensemble deep learning," Supply Chain Analytics, vol. 3, p. 100024, 2023.
A. Subhan, A. Faqih, dan B. Irawan, "Clustering item fast moving dan slow moving pada produk unilever menggunakan algoritma k-prototype," JATI (Jurnal Mahasiswa Teknik Informatika), vol. 6, no. 2, pp. 629-634, 2022.
K. Tyagi, C. Rane, R. Sriram, dan M. Manry, "Unsupervised learning," in Artificial intelligence and machine learning for edge computing, Academic Press, 2022, pp. 33-52.
D. Valkenborg, A. J. Rousseau, M. Geubbelmans, dan T. Burzykowski, "Unsupervised learning," American Journal of Orthodontics and Dentofacial Orthopedics, vol. 163, no. 6, pp. 877-882, 2023.
M. Wahyudi, Masitha, R. Saragih, dan Solikhun, Data Mining: Penerapan Algoritma K-Means Clustering dan K-Medoids Clustering. Medan: Yayasan Kita Menulis, 2020.
A. Wanto, Siregar, Windarto, Hartama, Ginantra, Napitupulu, Negara, Lubis, Dewi, dan Prianto, Data Mining: Algoritma Dan Implementasi. Medan: Yayasan Kita Menulis, 2020.
A. Wulandari, S. Sakirah, dan O. Karyono, "Analisis Perilaku Konsumen pada Trend Pembelian Produk Iphone dalam Tinjauan Maqashid Syariah (Studi Kasus Generasi Zilenial di Kabupaten Bone)," Economics and Digital Business Review, vol. 5, no. 2, pp. 654-666, 2024.
R. F. Zannath, B. W. Fitriadi, dan R. T. Yusnita, "The influence of perceived brand authenticity and self-brand congruence on consumer satisfaction (survey of iphone smartphone users at The University Of Perjuangan)," Journal of Management, Economic, and Accounting, vol. 2, no. 2, pp. 433-444, 2023.
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Copyright (c) 2026 Naurah Atikah Nurpadhilah, Aliya Dwi Ardiyanti, M. Aufa Rafiqi, Nur Ayu Siti Hardianti, Yusa Virginiawan Guntara (Author)
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