Merkurius : Jurnal Riset Sistem Informasi dan Teknik Informatika
metadata only
Implementasi Data Mining untuk Analisis Data Penjualan dengan Menggunakan Algoritma Naïve Bayes : (Studi Kasus : KPRI Kokarnaba Baturraden)
KPRI KOKARNABA Baturraden faces challenges in managing increasingly complex sales data, particularly in identifying the most in-demand products to maximize profit. This study aims to analyze sales patterns using the Naïve Bayes algorithm as a probability-based classification method. The collected sa
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
- Perbandingan Naïve Bayes dan SVM untuk Analisis Sentimen Pengguna Aplikasi X Terhadap Danantara#445837
- Perbandingan Naïve Bayes dan SVM untuk Analisis Sentimen Pengguna Aplikasi X Terhadap Danantara#439664
- Klasifikasi Sentimen Pengguna Terhadap Pembayaran Digital Menggunakan Algoritma Naive Bayes#388500
- A Prototype for profit maximization using Apriori data mining algorithm: case of Kula Kona restaurant#956162
- Pengembangan Sistem Reporting Purchasing Berbasis Python dan SQL pada PT. X#320783
Record · ID 1066946
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