Skripsi

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

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Penilaian

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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.

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Availability

Inventory Code	Barcode	Call Number	Location	Status
2407006948	T162702	T1627022024	Central Library (REFERENS)	Available but not for loan - Not for Loan

Detail Information

Series Title

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Call Number

T1627022024

Publisher

Indralaya : Prodi Sistem Informasi, Fakultas Ilmu Komputer Universitas Sriwijaya., 2024

Collation

xviii, 151 hlm.; ilus.; 29 cm

Language

Indonesia

ISBN/ISSN

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Classification

005.360 7

Content Type

Text

Media Type

unmediated

Carrier Type

-

Edition

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Subject(s)

Program aplikasi
Sistem informasi

Specific Detail Info

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Statement of Responsibility

MURZ

Other version/related

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