ANALISIS ASOSIASI RULE MINING DALAM REKOMENDASI SPAREPART PADA BENGKEL SERVICE 227 MENGGUNAKAN ALGORITMA CT-PRO

dc.contributor.authorAzis, Yogika
dc.date.accessioned2024-08-21
dc.date.available2024-08-21
dc.date.issued2022
dc.identifier.uri https://ejournal.sisfokomtek.org/index.php/jumin/article/view/403
dc.description.abstract A sparepart is an item or component found in a motorized vehicle or two-wheeled vehicle that can be replaced regularly and regularly. At the Service Workshop there are various kinds of motorcycle spare parts whose layout is irregular, such as unknown spare parts that are short of stock, running out and the best-selling spare parts, obstacles like that cause problems for the smooth business process of the service workshop 227 This study aims to implement the Rule mining association application on the spare part recommendation system at the service workshop 227 which aims to find associative rules between data items and the application of the CT-pro algorithm to assist in the management and arrangement of spare parts layout at the service workshop 227. There are Spark Plugs, Brake Pads and Chains that are laid out at the front as recommended spare parts. PHP programming and design using a unified modeling language so as to produce a system that can determine the best-selling spare parts that can determine the layout of spare parts. The results obtained from associations carried out with a 100% Confidence level first combination: Brake Pad, Chain and Circle. The second combination: Circumference, Spark Plugs and Brake Pads, Circle. The third combination: Brake Pads and Spark Plugs. The following is a combination that has a 100% confidence level that will also be used in arranging the layout and recommendation of spare parts from the highest to the lowest value. Keywords: Spareparts, CT-Pro, Website, Confidence en_US
dc.language.isoenen_US
dc.publisherUniversitas Harapan Medanen_US
dc.subjectALGORITMA CT-PRO en_US
dc.titleANALISIS ASOSIASI RULE MINING DALAM REKOMENDASI SPAREPART PADA BENGKEL SERVICE 227 MENGGUNAKAN ALGORITMA CT-PRO en_US
dc.typeSkripsien_US


File In This Item

No Thumbnail
Name 02fbaf3ffc7b702a5d6abb9ffcfaf06aYogika Azis.docx
Size 558016 Mb
Format application/vnd.openxmlformats-officedocument.wordprocessingml.document
Description peer_review
Peer Review

This item appears in the following Collection(s)

Skripsi [1308]

Show Simple Item Record