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All Journal Journal of Computer Science Application and Engineering
Tobias, Neec Chander
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Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering

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Journal : Journal of Computer Science Application and Engineering

 1 
Heavy Equipment Rental Apps Using Ionic Framework Tobias, Neec Chander
Journal of Computer Science Application and Engineering (JOSAPEN) Vol. 2 No. 1 (2024): JOSAPEN - January
Publisher : PT. Lentera Ilmu Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70356/josapen.v2i1.21

Abstract

The study delves into the development of an Android-based heavy equipment rental application for PT. Gajah Unggul Internasional. The article underscores the significance of information systems in the heavy equipment rental business, introducing the specific context of PT. Gajah Unggul Internasional, a company providing various construction and industrial equipment. Recognizing the need for an efficient system to expedite processes such as borrowing, repaying, and restocking heavy equipment, the author proposes an Android application utilizing the Ionic Framework, a powerful open-source SDK. The methodology section outlines a meticulous five-stage research design, encompassing data collection, inception, elaboration, construction, and transition. The results and discussion section provides a detailed analysis of the application, including use case diagrams, activity diagrams, sequence diagrams, class diagrams, and the system interface. Black box testing validates the functionality and effectiveness of the proposed system, demonstrating successful outcomes in various aspects such as login, registration, equipment data viewing, and rental history tracking. In conclusion, the study showcases the successful integration of the Ionic Framework to enhance the efficiency and effectiveness of heavy equipment rental processes for PT. Gajah Unggul Internasional. The developed application offers a user-friendly interface catering to diverse stakeholders, emphasizing its practicality and functionality. Overall, the article contributes valuable insights into leveraging technology to streamline and optimize business operations in the heavy equipment rental industry.
Smart Mobile Application for Heavy Equipment Rental Tobias, Neec Chander
Journal of Computer Science Application and Engineering (JOSAPEN) Vol. 3 No. 1 (2025): JOSAPEN - January
Publisher : PT. Lentera Ilmu Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70356/josapen.v3i1.49

Abstract

This study explores the development of an Android-based heavy equipment rental application tailored for PT. Gajah Unggul Internasional. It highlights the pivotal role of information systems in the heavy equipment rental sector, focusing on the specific needs of PT. Gajah Unggul Internasional, a provider of various construction and industrial equipment. To address the demand for a streamlined system to manage borrowing, returning, and restocking equipment, the study proposes an Android application built with the Ionic Framework, a robust open-source SDK. The methodology employs a comprehensive five-stage research design: data collection, inception, elaboration, construction, and transition. The results and discussion section offers an in-depth evaluation of the application, presenting critical components such as use case diagrams, activity diagrams, sequence diagrams, class diagrams, and the system interface. Functionality and efficiency are validated through black box testing, confirming the system's reliability in processes such as login, registration, equipment data access, and rental history tracking. In conclusion, the study demonstrates the successful application of the Ionic Framework to enhance heavy equipment rental operations at PT. Gajah Unggul Internasional. The user-friendly application caters to various stakeholders, emphasizing practicality and efficiency. The article provides valuable insights into leveraging technology to optimize business processes within the heavy equipment rental industry.
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