Najwaa Nahda Assegaf, . (2025) ANALISIS POLA PENJUALAN PRODUK DI PT NITTO ALAM INDONESIA MENGGUNAKAN KLASTERISASI K-MEANS. Skripsi thesis, Universitas Pembangunan Nasional Veteran Jakarta.
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Abstract
Competition in the manufacturing industry, particularly in the component production sector, demands companies to have efficient production and sales strategies. PT Nitto Alam Indonesia faces challenges in predicting customer demand, which leads to uncertainty in stock and production management. This research aims to analyze product sales patterns using the K-Means clustering method to provide recommendations for more efficient sales and production strategies. The research went through the processes of data selection, data preprocessing, data transformation, data mining, and data interpretation to ensure the quality and consistency of the analyzed data. The analysis process began with the collection of product sales data for the period of 2022 to 2024, which includes transaction time data, product types, customer categories, sales frequency, and product quantities. The study used the elbow and silhouette methods to evaluate and determine the optimal number of clusters. The clustering results show that the sales data can be grouped into three clusters with different characteristics, reflecting high, medium, and low sales volumes. Based on the analysis results, PT Nitto Alam Indonesia can design more targeted production strategies according to the characteristics of each cluster. The analysis results were visualized using a streamlit based dashboard to facilitate understanding and decision-making. This research contributes significantly to improving the operational efficiency of the company in meeting market demand.
| Item Type: | Thesis (Skripsi) |
|---|---|
| Additional Information: | [No.Panggil: 2110512158] [Pembimbing 1: Ruth Mariana Bunga Wadu] [Pembimbing 2: M. Octaviano] [Penguji 1: Kraugusteeliana] [Penguji 2: Ika Nurlaili Isnainiyah] |
| Uncontrolled Keywords: | Sales patterns, K-Means clustering, sales strategy, production strategy, data visualization. |
| Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science Q Science > QA Mathematics > QA76 Computer software |
| Divisions: | Fakultas Ilmu Komputer > Program Studi Sistem Informasi (S1) |
| Depositing User: | NAJWAA NAHDA ASSEGAF |
| Date Deposited: | 06 Aug 2025 07:56 |
| Last Modified: | 06 Aug 2025 07:56 |
| URI: | http://repository.upnvj.ac.id/id/eprint/37459 |
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