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All Journal Jurnal Telkommil
Choirul Rio Prabowo
Politeknik Angkatan Darat
Computer Science & IT Control & Systems Engineering Engineering

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Automatic Spraying System for Plants based on Leaf Image Detection by Using Raspberry Pi Camera Model V2: Telekomunikasi Militer Ade Barokah; Desyderius Minggu; Choirul Rio Prabowo
Jurnal Telkommil Vol 6 No 2 (2025): Jurnal Telkommil
Publisher : Pustaka Poltekad

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54317/kom.v6i2.604

Abstract

The utilization of automated systems to increase crop maintenance efficiency, especially in fertilizer and pesticide application, has been prompted by advancements in precision agriculture technology. Using a camera module as an automated spraying controller to detect leaf images is one creative method. The integration of the Raspberry Pi v2 Camera Module with digital image processing methods in automated spraying systems is the subject of a comprehensive review of earlier research presented in this article. Actuator control in the system, analysis of leaf detection techniques, and a review of recent journal literature are some of the techniques employed. The study's findings show that real-time implementation of this technique which includes color thresholding and texture analysis for leaf detection can be accomplished with good accuracy. The Raspberry Pi v2 Camera Module offers advantages in color image and easy integration with microcontroller. In conclusion, an automated spraying system based on leaf image detection shows great potential in reducing chemical waste and improving spraying precision, although challenges remain related to lighting conditions and crop types. Further research is needed to improve system performance under various field conditions.
Development of an Integrated Official Vehicle Data Management System Using QR Codes and Activity Logs: Telekomunikasi Militer Daru Argya Yudistira; Nur Rachman Supadmana Muda; Choirul Rio Prabowo
Jurnal Telkommil Vol 6 No 2 (2025): Jurnal Telkommil
Publisher : Pustaka Poltekad

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54317/kom.v6i2.653

Abstract

This study aims to design and implement an integrated web-based Official Vehicle Management Information System utilizing QR Code technology and operational logs, named SIPAKAD (Sistem Informasi Pengelolaan Kendaraan Dinas Angkatan Darat). The system was developed to address inefficiencies, recording errors, and data redundancy commonly found in manual management of official vehicles within military environments. The research employed a system engineering approach with black-box testing to evaluate key functions such as vehicle, driver, and route data management, operational log recording, real-time GPS tracking, and report export features. The implementation results show that SIPAKAD is capable of managing data centrally, accurately, and in real-time, supporting operational monitoring through interactive maps, and reducing human resource requirements and operational costs. The system is considered effective in improving efficiency, transparency, and accuracy in official vehicle management and holds potential for further development in maintenance scheduling and additional security integrations in the future.
Official Vehicle Movement Monitoring System Using Dijkstra's Algorithm on GPS and Real-Time Notifications: Telekomunikasi Militer Mohammad Yuslan; Desyderius Minggu; Choirul Rio Prabowo
Jurnal Telkommil Vol 6 No 2 (2025): Jurnal Telkommil
Publisher : Pustaka Poltekad

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54317/kom.v6i2.655

Abstract

Official vehicle management requires an efficient, accurate, and integrated monitoring system to support transparent and responsive operations. This research aims to design and implement a Police Department Vehicle Management Information System (SIPAKAD) based on GPS, the Dijkstra algorithm, and Firebase Cloud Messaging (FCM). The research method used was an experimental quantitative approach, through software development that was repeatedly tested to obtain actual data. The independent variables in this study were the use of GPS, the Dijkstra algorithm, webhooks, and FCM, while the dependent variables included vehicle monitoring efficiency, optimal travel time, and operational response speed. The results showed that the integration of GPS with the Dijkstra algorithm was able to display vehicle positions in real time while providing recommendations for the shortest route visualized on a digital map. A comparison between the algorithm-calculated route and the actual GPS data revealed very small differences in distance and travel time. Accuracy evaluation using the Mean Absolute Percentage Error (MAPE) resulted in a low error value, demonstrating the system's accuracy and reliability. Furthermore, FCM integration allows for automatic notification of departure, arrival, and emergency status (SOS) instantly to drivers and administrators. This feature improves communication effectiveness, accelerates decision-making, and enhances operational safety. Thus, this research successfully presents a superior official vehicle monitoring system compared to previous research, integrating real-time position monitoring, route optimization, instant notifications, and safety features in a single platform. SIPAKAD is expected to become an applicable solution that supports efficiency, security, and transparency in the management of official vehicles and other sectors with similar needs.
Design and Development of an Android-Based Monitoring Application for the Poltekad Weapons Warehouse Using Generative Artificial Intelligence: Telekomunikasi Militer Kharis Setiaji; Imam Ashar; Choirul Rio Prabowo
Jurnal Telkommil Vol 7 No 1 (2026): Jurnal Telkommil
Publisher : Pustaka Poltekad

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54317/kom.v7i1.751

Abstract

The management of the weapons warehouse within the Army Polytechnic (Poltekad) plays a crucial role in maintaining personnel security and training readiness. However, a persistent obstacle is the manual or semi-digital recording process. This slows down data collection, makes it prone to errors, and makes it difficult for officers to quickly submit reports to superiors. Based on these issues, this research developed a solution in the form of an Android-based monitoring application equipped with generative AI technology. The goal is simple: to facilitate real-time and intelligent weapons monitoring. Using a prototype development method, this system is designed not only to record incoming and outgoing weapons data but also utilizes AI to automatically compile daily narrative reports. The end result is that this application is proven to be effective, weapons stock data is more accurate, and administrative work for officers is significantly reduced thanks to the AI's automatic reporting feature.
Co-Authors Ade Barokah Daru Argya Yudistira Desyderius Minggu Imam Ashar Kharis Setiaji Mohammad Yuslan Nur Rachman Supadmana Muda