Setiawan, Andre and Putri, Farica Perdana (2020) Implementasi Algoritma Apriori untuk Rekomendasi Kombinasi Produk Penjualan. Ultimatics : Jurnal Teknik Informatika, 12 (1). ISSN 2085-4552
Full text not available from this repository.Abstract
Analyzing and systematically extracting essential information from recording transactions is important for a business, including online stores. Sometimes, some online stores offer a product package that is not suitable for the customer. It happens because they did not process the data transaction to observe the association between products on a package. A web-based recommendation system was build using the CodeIgniter framework with PHP programming language. The system developed using Market Basket analysis that can determine the combination of products. Apriori algorithm used as a technique to analyze the relationship between products based on the data transaction. The lift ratio value generated from the rule is 1.18, which means that the rule has the power of relationships between items. We evaluate the system using USE questionnaire with usefulness results is 90.83%, ease of use 89.09%, ease of learning 95%, and satisfaction 90.94%, which strongly agree in every aspect.
| Item Type: | Article |
|---|---|
| Subjects: | 000 Computer Science, Information and General Works > 000 Computer Science, Knowledge and Systems > 005 Computer Programming |
| Divisions: | Faculty of Engineering & Informatics > Informatics |
| Depositing User: | Administrator UMN Library |
| Date Deposited: | 08 Oct 2021 06:32 |
| Last Modified: | 08 Oct 2021 06:32 |
| URI: | https://kc.umn.ac.id/id/eprint/18590 |
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