DESIGN OF USER INTERFACE, DATA STORAGE, AND ACCES POINT SUBSYSTEMS ON CONNECTED SOLUTION FOR PERSONNEL TRACKER ON MANUFACTURING INDUSTRIES

• Main Author: Faza, Aghnia
• Format: Final Project
• Language: Indonesia
• Online Access: https://digilib.itb.ac.id/gdl/view/56239
• Institution: Institut Teknologi Bandung

Supervision of workers in large Manufacturing Industries is a necessary thing for a company. The large area of the indoor manufacturing environment causes supervising the location of workers by supervisors not to be carried out face-to-face at any time. This condition can cause workers to potentially not be at the specified workstation. Therefore, the proposed solution is to use the WiFi Receive Signal Strength Indicator (RSSI) to track the position of workers in a workstation. The Indoor Fingerprinting Positioning technique is a method used to collect RSSI. This technique consists of two stages, namely the offline phase and the online phase. The offline phase is where RSSI WiFi data is taken as a data sample at each tracking location. Collected data then stored in the database. The second stage, the Online phase, is where the unknown location data process is taken and predicted the location using the K-Nearest Neighbor (K-NN) algorithm. The prediction location will store in the database. The data that has been stored will be fetched to the interface so that supervisors can easily see the locations of workers. In addition to viewing the locations on the interface, supervisors can also view employee personal data, work shifts, and the historical locations of workers. Because of ethics issues, the web page has a login page that can be accessed only by a user who has accounts. This final project will discuss the design of user interface using Thingworx, database using PostgreSQL, access point using Raspberry Pi Zero W, and fetching data from database to user interface.