RANCANG BANGUN SISTEM PERSEDIAAN MENGGUNAKAN RFID YANG TERINTEGRASI DENGAN POINT OF SALE PADA TOKO RETAIL ANEKA DIESEL SINJAI

Abstract

Retail plays an important role in Indonesia. Retail has contributed to Indonesia's economic growth and employment opportunities. According to data from the Badan Pusat Statistik (BPS), in 2016, retail contributed 15.24 percent to the total Gross Domestic Product (GDP) and provided employment to 22.4 million people or 31.81 percent of the non-agricultural workforce in Indonesia. Retail still faces several challenges such as economic uncertainty, changes in consumer behavior, increased focus on digital technology, and meeting consumer demands. Aneka Diesel Sinjai also faces some of these challenges, including meeting consumer demands and adopting digital technology. Inventory management in the warehouse, utilizing Radio Frequency Identification (RFID) and integrated with the point of sale, can address some of the retail issues experienced by Aneka Diesel Sinjai. Therefore, a web-based system is being developed. To understand the problems and requirements, an interview was conducted with the owner of Aneka Diesel Sinjai, and it was found that controlling and monitoring inventory became increasingly difficult and in technology is still Visual FoxPromaking future development challenging. After identifying the issues, a system design was created with a focus on developing two main features, warehousing and point of sale. In the point of sale feature, users can view the point of sale dashboard for transaction data on the same day, create and view invoices, generate labels, and view reports. In the warehousing feature, users can view the warehouse dashboard for a brief summary of warehouse data on the same day, create and view purchase orders and incoming goods, create and search tags, and view reports. The system development uses web programming languages such as HTML, CSS, and JS, with the Laravel framework and MySQL database. The website deployment is done locally within the network. The system implementation was tested using black box testing methodology. Based on the black box testing results, all functions work as expected and assist users in managing inventory effectively.