KLASTERISASI DATA PENJUALAN UNTUK MENENTUKAN BARANG TERLARIS DI DESA LUBANG BUAYA, KABUPATEN BEKASI (STUDI KASUS: AGEN SEMBAKO DEWI SRI)

Rangga Aditya Rizaldi, . (2026) KLASTERISASI DATA PENJUALAN UNTUK MENENTUKAN BARANG TERLARIS DI DESA LUBANG BUAYA, KABUPATEN BEKASI (STUDI KASUS: AGEN SEMBAKO DEWI SRI). Skripsi thesis, Universitas Pembangunan Nasional Veteran Jakarta.

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Abstract

Amid increasingly intense competition in the retail sector, Dewi Sri Grocery Agent faces challenges in inventory management and sales strategies that are still carried out manually. The absence of in-depth data analysis makes it difficult for the business owner to accurately identify sales patterns, which affects inventory efficiency. This study aims to apply data mining using the K-Means Clustering algorithm to group sales transaction data from July 2024 to July 2025 into product salability categories. This research follows data preparation stages including data cleaning, transformation, and normalization using Min–Max Scaling. The clustering process is performed with K-Means using two attributes: total quantity sold and average price. The optimal number of clusters is validated using the Elbow method and Silhouette Score. The results indicate that the most suitable number of clusters is 3 (K=3), representing three categories: Best-selling (15 products), Moderate (97 products), and Low-selling (40 products). Model evaluation yields a Sum of Squared Errors (SSE) of 2.24 and a Silhouette Score of 0.4490, indicating a reasonably good separation between clusters. The clustering results are implemented in a visualization dashboard to support recommendations for restocking priorities and more targeted promotional strategies for Dewi Sri Grocery Agent.

Item Type: Thesis (Skripsi)
Additional Information: [No Panggil: 2110512157] [Pembimbing: Nur Hafifah Matondang] [Penguji 1: Ika Nurlaili Isnainiyah] [Penguji 2: Sarika]
Uncontrolled Keywords: Data Mining, K-Means Clustering, Silhouette Score, Grocery Agent, Sales Strategy
Subjects: Q Science > Q Science (General)
Divisions: Fakultas Ilmu Komputer > Program Studi Sistem Informasi (S1)
Depositing User: RANGGA ADITYA RIZALDI
Date Deposited: 09 Feb 2026 03:30
Last Modified: 09 Feb 2026 03:30
URI: http://repository.upnvj.ac.id/id/eprint/42561

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