Pengembangan Sistem Parsing Data Radar TDAS ke Format Terstruktur untuk Simulasi Skoring Posisi Objek Udara

Setiyanto, Kanessa Jasmine Prisheila Az Zahra Setiyanto (2026) Pengembangan Sistem Parsing Data Radar TDAS ke Format Terstruktur untuk Simulasi Skoring Posisi Objek Udara. Project Report (Praktek Kerja Lapang dan Magang). UPN Veteran Jawa Timur. (Unpublished)

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Abstract

Tactical Data Acquisition System (TDAS) is a product developed by PT Infoglobal Teknologi Semesta, designed to monitor and record the real-time position of air objects by processing radar data from various sources. However, TDAS radar recordings are stored in compressed binary formats (.ctdr and .tdx), which are not directly accessible for analysis or simulation purposes. To address this issue, a parsing system was designed and implemented to convert raw radar data into structured formats (.json and .csv) to support the air object position scoring simulation process. This project was conducted as part of an internship program at PT Infoglobal Teknologi Semesta, a company engaged in the development of defense and radar-based monitoring systems. The parsing system was developed in a modular structure using the Python programming language, consisting of three main components: the utility module (utils.py), the core data processing module (read_ctdr.py), and the main control module (main.py). The system is capable of automatically processing .ctdr files, converting binary data into structured formats that can be easily integrated into simulation platforms or further analysis. The implementation results show that the system effectively accelerates data preparation processes, improves reading accuracy, and supports standardized evaluation of radar TDAS performance in an efficient and systematic manner.

Item Type: Monograph (Project Report (Praktek Kerja Lapang dan Magang))
Contributors:
ContributionContributorsNIDN/NIDKEmail
UNSPECIFIEDPratama, Alfan RizaldyNUPTK: 7938777678130112alfan.fasilkom@upnjatim.ac.id
Subjects: Q Science > Q Science (General)
T Technology > T Technology (General)
U Military Science > U Military Science (General)
Divisions: Faculty of Computer Science > Departemen of Data Science
Depositing User: Kanessa Jasmine Prisheila Az Zahra Setiyanto
Date Deposited: 21 May 2026 06:24
Last Modified: 21 May 2026 06:24
URI: https://repository.upnjatim.ac.id/id/eprint/51763

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