ANALISIS SEGMENTASI PENJUALAN OBAT MENGGUNAKAN K-MEANS DAN VISUALISASI STREAMLIT UNTUK OPTIMALISASI PENGADAAN STOK PADA RUMAH SAKIT YPK MANDIRI

Marsa Nabila, . (2025) ANALISIS SEGMENTASI PENJUALAN OBAT MENGGUNAKAN K-MEANS DAN VISUALISASI STREAMLIT UNTUK OPTIMALISASI PENGADAAN STOK PADA RUMAH SAKIT YPK MANDIRI. Skripsi thesis, Universitas Pembangunan Nasional Veteran Jakarta.

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Abstract

YPK Mandiri Hospital has a structured medicine procurement procedure in the hospital, the inventory management process is still based on historical sales data which only focuses on checking quantity without considering sales patterns of each medicine. This leads to a lack of proper prioritization in procurement planning, especially when facing sudden spikes in demand. In this study, the K-Means Clustering method is applied to segment medicine sales levels based on a number of features, namely medicine name, sales amount, transaction month, coefficient of variation, and number of months of medicine occurrence. The segmentation process is followed by an in-depth analysis of the relationship between rainfall patterns and sales segmentation, as well as recommendations for supplier strategies to support more effective medicine stock procurement. The data used is transaction data from January to December 2024 sourced from YPK Mandiri Hospital and rainfall data in Central Jakarta in 2024 sourced from online data from the Meteorology, Climatology and Geophysics Agency (BMKG). The test results obtained the optimal number of clusters is 3 with a Silhoutte Score value of 0.4653, and a Davies Bouldin Index of 0.7171 which shows that the clustering results that have been carried out can be categorized as good. Data visualization with Streamlit to make the visualization more interactive and responsive which can help users explore and understand the results of the analysis more deeply. The results of this study can help and simplify by displaying the results of data visualization through the website with the application of the Streamlit f

Item Type: Thesis (Skripsi)
Additional Information: [No.Panggil: 2110512048] [Pembimbing: Nur Hafifah Matondang] [Penguji 1: Kraugusteeliana] [Penguji 2: Neny Rosmawarni]
Uncontrolled Keywords: Hospital, Medicine, K-Means, Silhoutte Score, Davies Bouldin Index
Subjects: R Medicine > R Medicine (General)
T Technology > T Technology (General)
Divisions: Fakultas Ilmu Komputer > Program Studi Sistem Informasi (S1)
Depositing User: MARSA NABILA
Date Deposited: 20 Aug 2025 02:38
Last Modified: 20 Aug 2025 02:38
URI: http://repository.upnvj.ac.id/id/eprint/37429

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