PENGEMBANGAN SISTEM REKOMENDASI RETARGETING PADA TOKO OFFLINE DENGAN YOLOV8 DAN SIMPLE ADDITIVE WEIGHTING BERBASIS WEB (STUDI KASUS CV.BATOLA JAYA)

Rabbani, Rafi (2024) PENGEMBANGAN SISTEM REKOMENDASI RETARGETING PADA TOKO OFFLINE DENGAN YOLOV8 DAN SIMPLE ADDITIVE WEIGHTING BERBASIS WEB (STUDI KASUS CV.BATOLA JAYA). Undergraduate thesis, UPN Veteran Jawa Timur.

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Abstract

Retargeting is a marketing technique where this technique allows buyers to get recommendations for types of goods or items where the product has previously interacted with buyers even without a purchasing process. This technique allows companies to form top-of-mind awareness where customers will be given reminders about a product and attract these customers to buy the product. But unfortunately this retargeting concept can only be found in stores online, Unlike some marketing techniques that can be applied anywhere. Retargeting requires customer interaction on a product which is p This makes retargeting very difficult if applied to offline stores. In this research, researchers want to create a system where shops offline can adapt retargeting marketing techniques. In general, the concept The aim of this system is to monitor customer activities while they are in the store using YOLOv8 which will be compared with purchase history from These customers make it possible to retarget them customer. Simple Additive Weighting will be used in doing this comparison, where the aim of comparing activity and purchase history is to streamline retargeting while still maintaining customer activity as the main criterion

Item Type: Thesis (Undergraduate)
Contributors:
ContributionContributorsNIDN/NIDKEmail
Thesis advisorAkbar, Fawwaz AliNIDN0017039201fawwaz_ali.fik@upnjatim.ac.id
Thesis advisorSwari, Made Hanindia PramiNIDN0805028901madehanindia.fik@upnjatim.ac.id
Subjects: T Technology > T Technology (General)
T Technology > T Technology (General) > T55.4-60.8 Industrial engineering. Management engineering
T Technology > T Technology (General) > T58.6-58.62 Management Information Systems
Divisions: Faculty of Computer Science > Departemen of Informatics
Depositing User: Raf Rafi Rabbani
Date Deposited: 16 Jul 2024 03:37
Last Modified: 16 Jul 2024 03:37
URI: https://repository.upnjatim.ac.id/id/eprint/26188

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