IMPLEMENTASI DATA VISUALIZATION UNTUK SISTEM PREDICTIVE MAINTENANCE DALAM PENINGKATAN EFISIENSI OPERASIONAL MEMANFAATKAN METODE DESIGN THINKING

FRIZZY, MUHAMMAD FARRELl AL-WAFI and Dedy, Kurniawan (2024) IMPLEMENTASI DATA VISUALIZATION UNTUK SISTEM PREDICTIVE MAINTENANCE DALAM PENINGKATAN EFISIENSI OPERASIONAL MEMANFAATKAN METODE DESIGN THINKING. Undergraduate thesis, Universitas Sriwijaya.

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Abstract

This research was conducted to overcome the challenges in the data recording process in the predictive maintenance system which has been carried out in a semi-computerized manner. The process is time-consuming and error-prone, thus reducing operational efficiency and system reliability. In the context of predictive maintenance, data visualization plays an important role to help users understand patterns, anomalies, and equipment status. However, research on the application of UI/UX design for data visualization in predictive maintenance systems is still rare. Therefore, this research aims to design a predictive maintenance system based on data visualization to improve operational efficiency and effectiveness. The method used in this research is Design Thinking, which consists of five stages: empathize, define, ideate, prototype, and test. The empathize stage is conducted with interviews and surveys to understand user needs, while the prototyping stage produces data visualization designs such as line charts to monitor changes in indicators, pie charts and bar charts for overall status, and timeline views for handling priorities. Evaluation was conducted using the System Usability Scale (SUS) and usability testing to measure the effectiveness of the design. Analysis of the results shows that the designed predictive maintenance system provides significant results. Based on SUS testing, the average score of 80.28 was categorized as Excellent, with an Acceptable level of acceptance and Grade Scale B. In addition, usability testing recorded a 100% success rate, where all respondents successfully completed the data visualization task appropriately. These results indicate that the implemented data visualization design is effective in improving user efficiency and accuracy in operational decision making.

Item Type:	Thesis (Undergraduate)
Uncontrolled Keywords:	predictive maintenance, UI/UX, data visualization
Subjects:	T Technology > T Technology (General) > T58.6-58.62 Management information systems > T58.6 General works Industrial engineering Information technology. Information systems (General) Management information systems -- Continued T Technology > T Technology (General) > T58.6-58.62 Management information systems
Divisions:	09-Faculty of Computer Science > 57201-Information Systems (S1)
Depositing User:	Muhammad Farrel Al-Wafi Frizzy
Date Deposited:	06 Jan 2025 08:46
Last Modified:	06 Jan 2025 08:46
URI:	http://repository.unsri.ac.id/id/eprint/162702

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