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All Journal SITEKIN: Jurnal Sains, Teknologi dan Industri JURNAL PASTI (PENELITIAN DAN APLIKASI SISTEM DAN TEKNIK INDUSTRI) Scientific Journal of Informatics Sinkron : Jurnal dan Penelitian Teknik Informatika JOURNAL OF INDUSTRIAL AND MANUFACTURE ENGINEERING JATI UNIK : Jurnal Ilmiah Teknik dan Manajemen Industri Jurnal SOLMA JOURNAL OF APPLIED INFORMATICS AND COMPUTING JURNAL REKAYASA SISTEM INDUSTRI Minda Baharu Jurnal Sistem Teknik Industri Altasia : Jurnal Pariwisata Indonesia Jurnal Optimalisasi SIGMA TEKNIKA Jurnal Manajemen Pendidikan dan Ilmu Sosial (JMPIS) Jurnal Pendidikan Sains dan Komputer Jurnal Manajemen Rekayasa dan Inovasi Bisnis Jurnal Pengabdian Ibnu Sina Journal of Event, Travel and Tour Management JT-IBSI (Jurnal Teknik Ibnu Sina) Jurnal Pengabdian Barelang Scientific Journal of Informatics IESM
Aulia Agung Dermawan
Institut Teknologi Batam
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Journal : Scientific Journal of Informatics

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Optimizing Inventory Management: Data-Driven Insights from K-Means Clustering Analysis of Prescription Patterns Dermawan, Aulia Agung; Ansarullah Lawi; Putera, Dimas Akmarul; Kurniawan, Dwi Ely; Ummatin, Kuntum Khoiro; Jorvick Steve
Scientific Journal of Informatics Vol. 11 No. 3: August 2024
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/sji.v11i3.8690

Abstract

Purpose: The goal is to improve how inventory is managed in healthcare by using K-Means clustering to analyze prescription trends. This approach helps ensure better stock availability, streamlines operations, and ultimately increases sales opportunities. Methods: This research applied the K-Means clustering algorithm to analyze a comprehensive dataset of prescription behaviors from XYZ Clinic. By grouping similar prescriptions into clusters, this method highlighted patterns within the data. These insights led to the identification of unique prescription categories, enabling the creation of tailored recommendations for improving inventory management. Result: The analysis showed that Cluster 1 should be prioritized for inventory management due to its high sales potential and consistent prescription patterns. It is recommended to increase stock for the medications in Cluster 1 to improve inventory turnover and streamline clinical operations. These findings underscore the value of K-Means clustering in healthcare, especially for enhancing inventory management and operational efficiency. Novelty: This research presents a novel application of K-Means clustering in healthcare, focusing on prescription patterns and inventory management. While previous studies have primarily used K-Means clustering for areas such as risk assessment and logistics, this study provides valuable data-driven insights to improve inventory management strategies in healthcare. The results highlight how clustering methods can support better decision-making and resource allocation, ultimately leading to greater operational efficiency and improved patient care.
Co-Authors ., Jaswin Abdiel Khaleil Akmal Abdul Rahim Matondang Ad, Roni Adi, Roni Alvendo Wahyu Aranski Andikha, Andikha Ansarullah Lawi Ardilla, Thania Arina Abrilian Pulung Aritonang, Muhammad Adi Setiawan Arrazy Elba Ridha Bahri, M Irvanni Burhan, Rifa’atul Mahmudah candra, joni eka Diana Syntia Manalu Dimas Akmarul Putera Dimas Putera Dwi Ely Kurniawan Dwi Maharani, Suci Dwila Sempi Yusiani Enjelika Rosan Febriani Zainal Fitriyani Fuad Dwi Hanggara Hari Sandi Atmaja Hernando, Luki Hutagalung, Deria Moti Ihsan Fadlu Rahman Iing Pamungkas Ilham, Wahyudi Indra Lesmana, Naufal Irawan, Heri Tri Irawan, Risnadi Islahhudin fuadi Tabrizon Jorvick Steve Jorvick Steve Juliza Hidayati Kansa Vadilla Kremer, Hendri Lawi, Ansarullah Leman, A. M. Leman, Abdul Mutalib Lesmana, Naufal Indra M. Ansyar Bora Manurung, Putriana Carona Marga Raharja, Adyk Maria Magdalena Sibagariang Maulidina, Siti Nur Meilita Tryana Sembiring, Meilita Tryana Mhd Adi Setiawan Aritonang Muhammad Arya Bagaskara Muhammad Jufri munir, Zainul Munir Muqimuddin Muqimuddin Nigel Abie Rachel Nelwan Oktafanny Rozalia Pane, Amirah Nova Khairiyah Pina Alpianita Popi Kasandra Puspita Rini, Rosie Oktavia Putri, Intan Medisi Rafi Dio Rebeka Mentari Rifaldi Herikson Rini Rosie Oktavia Puspita Rini Ririt Dwi Putri Permatasari Riski Arifin Rita sarina siburian Roland, Roland Rosie Oktavia Puspita Rini Rosie Oktavia Puspita Rini Rosie Oktavia Puspita Rini Salwa Azzahra Wenny Sanniyah Delti Rama Saputra, Puji Tri Sari Rahmiati Siti Nurhasanah Sondra Wijaya, I Made Steve, Jorvick Sunarsono, Hery Taufiq Denny Wicaksono Tirta Mulyadi Tirta Mulyadi Ummatin, Kuntum Khoiro Vadilla, Kansa Via Audila Vincencia Medita Wahyudi Ilham Wahyudi Ilham Wahyudi Ilham Wenny Ayu Shestia Yuni Roza