Merkurius : Jurnal Riset Sistem Informasi dan Teknik Informatika
metadata only
Implementasi Algoritma K-Means Clustering untuk Pengelompokan Pola Permintaan Barang dalam Sistem Manajemen Inventori PT Semen Padang
This research aims to implement the K-Means Clustering algorithm in clustering patterns of goods demand in the inventory management system at PT Semen Padang. With the development of industrial technology and the need for an efficient inventory management system, this research identifies problems fa
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Perancangan Aplikasi Berbasis Web Menggunakan Algoritma K-Means Clustering dan C4.5 untuk Menentukan Gaji Karyawan Tetap dan Karyawan Kontrak di PTPN IV Tobasari#1024143
- Implementasi Algoritma K-Means Clustering untuk Mengelompokkan Wilayah Produksi Kopi di Jawa Barat#194635
- Program untuk membuat accelerogram gempa yang disesuaikan dengan respon spektrum tertentu#1018348
- Strategi Segmentasi, Targeting, dan Positioning Berbasis Clustering K-Means untuk Optimalisasi Layanan Poliklinik Rumah Sakit#194625
- A More Precise Elbow Method for Optimum K-means Clustering#924414
Record · ID 1067001
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive