BACKEND INFORMATION SYSTEM AND FACIAL RECOGNITION DESIGN FOR INDUSTRIAL MACHINE PREVENTIVE MAINTENANCE MANAGEMENT SYSTEM

Commercial automotive manufacture is one of the industry sectors with high competition. As an automotive manufacture market lead in Indonesia PT. Toyota Motor Manufacturing Indonesia wants to maintain its status, where one way to do so is to maximize its capacity to manufacture its car. Maintenan...

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Bibliographic Details
Main Author: Fatah Sedayu, Senggani
Format: Final Project
Language:Indonesia
Online Access:https://digilib.itb.ac.id/gdl/view/87691
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Institution: Institut Teknologi Bandung
Language: Indonesia
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Summary:Commercial automotive manufacture is one of the industry sectors with high competition. As an automotive manufacture market lead in Indonesia PT. Toyota Motor Manufacturing Indonesia wants to maintain its status, where one way to do so is to maximize its capacity to manufacture its car. Maintenance is an important step to maintain the availability of the machines in the manufacturing process. A preventive maintenance management system was created to help reduce the time needed to do administrative task and increase the maintenance team time to do actual maintenance for the machines, the system also able to display real-time machine data. Administrative task of the maintenance activities includes the schedule of planned activities in the information board, filing and checking maintenance activities results, and achievement visualization of maintenance activities results. The preventive maintenance management system created consist of four main subsystems including the interface subsystem, the data storage subsystem, the machine data acquisition subsystem, and the member recognition subsystem. In this book, the writer explained the design, implementation, testing, and verification of the interface subsystem, mainly the backend part, the data storage subsystem, and the member detection subsystem. Each subsystem from the maintenance management system is explored in this book is successfully implemented. The backend subsystem is capable of handling thirty-six concurrent user with average server response time of 771 milliseconds. The data storage subsystem has 177 GB of available space. All specifications of the subsystems are fulfilled