GEOLOCATION DATA FOR PATTERN ANALYSIS OF READINESS SPEED OF TNI-AD PERSONNEL ON POSKO DAHANUD MOBILE USING ARTIFICIAL INTELLIGENCE METHOD

• Main Author: ANGGRAINI (NIM: 23215373), DIAN
• Format: Theses
• Language: Indonesia
• Online Access: https://digilib.itb.ac.id/gdl/view/26597
• Institution: Institut Teknologi Bandung

<br /> <br /> In carrying out air defense operations, Arhanud has a Mobile Air Defense Mobile Command Post (Posko Dahanud Mobile). Posko Dahanud Mobile is an operational control center of dahanud where dandahanud organizes command and operational control over all arhanud units and other elements which are under his command. At this time, the limited ability to know the position of friends and targets makes it difficult to determine the pattern of unit setup because the number of Posko Dahanud Mobile more and more spread across Indonesia. <br /> <br /> <br /> In this study focused on designing and building systems that can transmit geolocation data and visualize geolocation data of personnel or units and predict the army readiness status pattern in determining power degree. Geolocation data transmission and geolocation data visualization is implemented in GPS applications, android apps and Georef maps app. In this research implements Artificial Neural Network method backpropagation to analyze readiness speed of personnel of Army. <br /> <br /> <br /> Based on the results of the implementation and testing that has been done, it can be concluded that the data transmission geolocation and data visualization can be implemented in android applications, GPS applications, georef application and use of backpropagation method successfully used to predict the readiness speed of personnel of the army by getting an average of 94.78% accuracy from 70 data testing and 120 data training. <br /> <br />