Aplikasi Penentuan Aturan Posisi Buku Pada Rak Buku Menggunakan Algoritma FP-Growth (Studi Kasus : PT. Kanisius Pemasaran Palembang)

Prakoso, Rafael Tomi (2018) Aplikasi Penentuan Aturan Posisi Buku Pada Rak Buku Menggunakan Algoritma FP-Growth (Studi Kasus : PT. Kanisius Pemasaran Palembang). Other thesis, Universitas Katolik Musi Charitas.

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Abstract

The positioning of book positions on the shelves is not easy. Constraints that often occur is the warehouse employees in performing these tasks only based on memory without any definite rules. This will make it difficult for other employees to take or return the book if the warehouse officer who understands the position of the book in the warehouse is not present. To overcome these problems, in this study built a book positioning system that implements FP-Growth algorithm. This research uses Extreme Programming (XP) methodology. System design is done with Unified Modeling Language (UML), and the system is implemented in PHP programming language. The data used in this research is the sales transaction data of PT. Kanisius Pemasaran Palembang (KPP). The resulting system works by searching for frequent itemsets of sales transaction data then selected based on minimum support and minimum confidence to get the required association rule. Based on the results of whitebox and blacbox testing performed, the resulting system can work well and generate book positioning rules

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