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A Analysis of Gunshot Sensors and Buzzers on Bulletproof Vests in Real Time Based on Internet of Things (IoT) Jeffri Kurniawan; Muhamad Risal Duwila; Dekki Widiatmoko
IRDH International Journal of Technology, Agriculture and Natural Sciences Vol. 2 No. 2 (2025): July
Publisher : International Research & Development for Human Beings (IRDH)

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Abstract

This research develops a prototype of an Internet of Things-based bulletproof vest that can monitor heart rate and detect gunshots in real time. The test results show that the shot impact sensor has a detection accuracy of 98.5%, the installed heart rate sensor has a sensitivity of 96%, and a notch condition detection accuracy of 95%. The recorded data sending time to the web server was 5.936 seconds, with an average waiting time between 5.5 and 6.3 seconds. Once a dangerous condition is detected, a sound notification will be sent via the buzzer within 0.7 seconds. Overall, this system provides accurate and efficient information on personnel conditions, which is expected to assist in faster tactical responses in field situations
Sistem Pemantauan Volume Cairan Infus Berbasis Fuzzy Logic untuk Penanganan Korban Bencana Alam di Rumah Sakit Darurat TNI Muhammad Mukhsin; Petrus Gunawan Wibisono; Heri Setiawan; Dekki Widiatmoko; Afif Achmad I
Journal of Electrical Engineering and Computer (JEECOM) Vol 6, No 1 (2024)
Publisher : Universitas Nurul Jadid

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33650/jeecom.v6i1.8362

Abstract

Penelitian ini bertujuan untuk mengembangkan sistem monitoring volume cairan infus pada korban bencana alam di Rumah Sakit Darurat TNI menggunakan Internet of Things (IoT) dan metode fuzzy logic. Dalam situasi bencana alam, pemantauan volume cairan infus pada korban menjadi penting untuk memastikan bahwa pasien menerima perawatan yang tepat dan tepat waktu. Namun, tugas tersebut sering kali menjadi sulit karena jumlah pasien yang tinggi dan jumlah tenaga medis yang terbatas. Dalam penelitian ini sistem monitoring dengan menggunakan perangkan Internet of Things (IoT) untuk mengumpulkan data volume infus secara real-time, serta sensor TCRT 5000 untuk membaca tetesan infus yang terhubung pada IoT akan mengirimkan data keserver pusat. Dalam pengolahan data tersebut diolah menggunakan metode Fuzzy Logic untuk mendapatkan informasi yang berguna kepada tim medis, serta memberikan peringatan dini kepada tim medis yang berjaga.  Pada pengujian alat memiliki tingkat error sebesar 0,05% - 0,1 % dan memiliki tingkat akurasi sebesar 97,8 %. Dengan demikian alat ini dapat diaplikasikan dapa rumah sakit darurat TNI.
Design of Fuel Monitoring Application for Reservoir Tanks in Army Fuel Supply Point on Military Logistics Corps Based on Internet of Things Rizky Safrizal Akbar; Fajar Kholid; Kasiyanto Kasiyanto; Dekki Widiatmoko; Afif Achmad
International Journal of Engineering and Computer Science Applications (IJECSA) Vol. 3 No. 1 (2024): March 2024
Publisher : Universitas Bumigora Mataram-Lombok

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/ijecsa.v3i1.3737

Abstract

The Bekang Corps, a vital component of the Army responsible for logistics and transportation, plays a crucial role in maintaining the military's operational readiness and mobility. In the intricate landscape of military operations, the seamless integration of strategy, logistics, and tactics becomes imperative for success. Integrated logistical support, encompassing maintenance, supply, personnel, education, and training, and base facility support, serves as the backbone of effective military operations. However, the manual monitoring of underground fuel tanks at Storage and Supply Points (SPBT) presents challenges in terms of potential errors, time consumption, and significant efforts. The aim of this research is to address these issues by focusing on leveraging Internet of Things (IoT) technology to design and implement a monitoring application specifically tailored for the SPBT environment within the Army's Bekang Unit. This research method is aimed at providing a real-time solution for efficiently monitoring and managing fuel levels. By integrating the Float Level Switch sensor and NodeMCU ESP 8266 microcontroller, this research establishes a foundation in IoT. The Android application, developed using Android Studio, serves as the user interface, while Firebase functions as the real-time database, facilitating seamless communication and data exchange. The results of this research are the successful implementation of this IoT-based solution, which not only enhances the accuracy and responsiveness of fuel level monitoring but also contributes significantly to military operational efficiency. The anticipated significant contribution of the application includes the enhancement of military operational efficiency, the reduction of human error risks, and an increased sense of responsibility regarding fuel availability for operational needs.