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Design Android-Based Car Rental Management Application Using Prototype Method Naufal Fikri Aulia; Feri Candra
International Journal of Electrical, Energy and Power System Engineering Vol. 6 No. 3 (2023): The International Journal of Electrical, Energy and Power System Engineering (I
Publisher : Electrical Engineering Department, Faculty of Engineering, Universitas Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31258/ijeepse.6.3.176-182

Abstract

Inayah's car rental is one of the business sectors in the field of transportation services at Pekanbaru, Riau. Inayah car rental carries out management activities for car rental management that can be rented from daily to monthly. Management of rental transactions is currently done manually by recording customer data and storing customer guarantees in the archives that have been provided. Problems arise when the data is lost or damaged while the car is on the customer's side. In addition, other issues arise when a customer cancels suddenly on that day, or the customer's uncertainty about car rental will impact other customers who are serious about renting a car at that time. From these problems, we need a system that can automatically manage, store, and manage car rental transactions using Android. The development method in this study uses the prototype development method. The Prototype is a development method that involves users in system development. Based on the research results, we get a very good interpretation of the standard quality of the ISO 25010 system test, functional, performance, reliability, maintainability, security, usability, and efficiency.
Implementation of Apriori Algorithm for Data Mining on Sales Transaction Data Hana Bernika Sabila; Feri Candra
International Journal of Electrical, Energy and Power System Engineering Vol. 6 No. 3 (2023): The International Journal of Electrical, Energy and Power System Engineering (I
Publisher : Electrical Engineering Department, Faculty of Engineering, Universitas Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31258/ijeepse.6.3.189-193

Abstract

Angkasa Mart Store is currently experiencing a decline in sales for specific products, leading to the implementation of the Apriori Algorithm to create bundled offerings that combine less popular items with top-selling products, aiming to revitalize sales and promote the underperforming inventory. Following the CRISP-DM methodology, the study analyzes sales transaction data from June to July 2022, covering 65,892 purchased items, to extract ten critical association rules essential for devising bundled packages. The study's findings propose two strategies for package composition: first, the development of bundled packages comprising strongly related products, identified through comprehensive data analysis and positively received by the store; second, the introduction of 21 bundled packages consisting of products with a relatively weaker relationship, effectively expanding consumer choices and encouraging additional purchases within the store. By implementing the Apriori Algorithm and adhering to the CRISP-DM methodology, this study effectively formulates bundled product packages for Angkasa Mart Store, addressing the challenge of declining sales and contributing to an overall improvement in business performance and customer satisfaction.