Article Per Year (5 Year)
p-Index From 2020 - 2025
0.408
P-Index
This Author published in this journals
All Journal PIKSEL : Penelitian Ilmu Komputer Sistem Embedded and Logic Indonesian Journal of Computing, Engineering, and Design
Ahmad, Denis
Unknown Affiliation
Arts Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Decision Sciences, Operations Research & Management Engineering Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mechanical Engineering

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

 1 
Sales Information System Utilizing 13.56 MHz RFID Member Cards for Enhanced Efficiency in Cooperative Stores Yusuf, Dani; Ahmad, Denis
PIKSEL : Penelitian Ilmu Komputer Sistem Embedded and Logic Vol. 12 No. 1 (2024): March 2024
Publisher : LPPM Universitas Islam 45 Bekasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33558/piksel.v12i1.9334

Abstract

This research aims to produce an output in the form of a cooperative sales application to its members using a 13.56 MHz RFID membership card. The research was conducted at Toko Koperasi Ubhara Jakarta Raya, which is a cooperative owned by employees of Universitas Bhayangkara Jakarta Raya, from January 2024 to February 2024. The cooperative membership card, which contains a 15.56 MHz RFID chip, can be used to validate cooperative member data when shopping at the cooperative store. With this application, it is hoped that it can simplify sales transactions for members and minimize input errors by store personnel. The system development method in this research uses the prototype method, the application is developed using native PHP programming language, and the database used is MySQL. The application created is expected to assist the cooperative in selling its products using a 13.56 MHz RFID card for better data management and quick presentation of sales reports.
Using Content-Based Filtering and Apriori for Recommendation Systems in a Smart Shopping System Pebrianti, Dwi; Ahmad, Denis; Bayuaji, Luhur; Wijayanti, Linda; Mulyadi, Melisa
Indonesian Journal of Computing, Engineering, and Design (IJoCED) Vol. 6 No. 1 (2024): IJoCED
Publisher : Faculty of Engineering and Technology, Sampoerna University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35806/ijoced.v6i1.393

Abstract

This research is motivated by the increasing significance of online shopping platforms and the challenges faced by users in locating products that align with their preferences and requirements, which can significantly influence the sales performance of online retailers. Consequently, the primary objective of this study is to design and implement a recommendation system capable of identifying suitable products and forecasting the purchase frequency for various product combinations, while also integrating this recommendation system with a smart shopping platform. To achieve this objective, the research employs machine learning techniques, specifically content-based filtering and the Apriori algorithm. Content-based filtering is utilized to analyze user preferences and behavioral patterns related to visited products, while the Apriori algorithm is employed to evaluate support and confidence values for item set combinations, thereby generating frequency values for future transactions involving product combinations. Additionally, a smart shopping system is developed and integrated, enhancing the shopping experience through smartphone applications and streamlining the payment process to facilitate seamless product purchases. The research methodology involves data collection pertaining to products and user preferences, followed by several testing involving a sample group of user respondents. The results demonstrate that the developed recommendation system effectively delivers relevant product recommendations based on user preferences, achieving a confidence value up to 98%. Furthermore, the smart shopping system proves capable of independently assisting users throughout the transaction process, thereby enhancing overall user experience and convenience.
Co-Authors Dani Yusuf Luhur Bayuaji, Luhur Melisa Mulyadi Pebrianti, Dwi Wijayanti, Linda