Product Recommendation Systems using Apriori in the Selection of Shoe based on Android

Laurentinus, Harrizki Arie Pradana, Fransiskus Panca Juniawan, Dwi Yuny Sylfania

2019

Abstract

The development of information technology has given a lot of influence and changes in human life. One of the areas of life affected is the field of trade. Currently, there are still many people who are looking for shoes manually by going around looking for shoe stores, and the results are wasting time, energy, and transportation costs. In addition, by buying manually the buyer does not know the experience of other buyers who have bought shoes with the same model. In addition, by implementing the recommendation system using the Apriori algorithm, prospective buyers can find out the experience of previous buyers. The advantage of the Apriori algorithm is simpler, more efficient, and able to handle large amounts of data than other algorithms. This study uses the waterfall model with four stages in it. The system was tested using the Apriori method to produce rules derived from the pattern of the combination of two items, rules and consequent. The results of this study are the successful search for the level of support and trust in shoes so that the shoes obtained are more accurate using data mining.

Paper Citation

in Harvard Style

Pradana H., Laurentinus., Juniawan F. and Sylfania D. (2019). Product Recommendation Systems using Apriori in the Selection of Shoe based on Android.In Proceedings of the International Conferences on Information System and Technology - Volume 1: CONRIST, ISBN 978-989-758-453-4, pages 311-318. DOI: 10.5220/0009909603110318

in Bibtex Style

@conference{conrist19,
author={Harrizki Arie Pradana and Laurentinus and Fransiskus Panca Juniawan and Dwi Yuny Sylfania},
title={Product Recommendation Systems using Apriori in the Selection of Shoe based on Android},
booktitle={Proceedings of the International Conferences on Information System and Technology - Volume 1: CONRIST,},
year={2019},
pages={311-318},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0009909603110318},
isbn={978-989-758-453-4},
}

in EndNote Style

TY - CONF

JO - Proceedings of the International Conferences on Information System and Technology - Volume 1: CONRIST,
TI - Product Recommendation Systems using Apriori in the Selection of Shoe based on Android
SN - 978-989-758-453-4
AU - Pradana H.
AU - Laurentinus.
AU - Juniawan F.
AU - Sylfania D.
PY - 2019
SP - 311
EP - 318
DO - 10.5220/0009909603110318