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Rancang Bangun Alat Pemantau Kesehatan Perorangan untuk Deteksi Dini Silent Hypoxia Kuswoyo, Heri; Susana, Ernia; Tjahjadi, Hendrana
TEKNIK Vol. 43, No. 1 (2022): May 2022
Publisher : Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/teknik.v43i1.42752

Abstract

Silent hypoxia in Covid-19 patients and symptoms of severe hypoxemia require appropriate treatment. These cases often appear asymptomatic but risk fatal to life-threatening. One of the recommended devices is pulse oximetry. Embedded systems technologies and the Internet of Things (IoT) can develop low-cost personal health monitoring devices. This study developed a pulse oximetry prototype integrated with a digital temperature sensor and equipped with the interpretation results of both "normal" and "hypoxic" conditions. It is called OxyTemp. IoT technologies monitor user conditions remotely using the Blynk application via mobile phones. This study used Research & Development with the Reverse engineering method. The OxyTemp has Different types of prototype testing are physical and functional inspection, electrical safety testing, and performance testing of each parameter using an appropriate calibrator. The working method refers to SK Direktur Jenderal Pelayanan Kesehatan Tahun 2018 No. 041-18 on Pulse Oximeter Testing Working Methods.
Unmanned aerial vehicle classification and detection system based on deep learning, internet of military things, and PID control system Lesmana, Azka Versantariqh; Dahlan, Iqbal Ahmad; Tjahjadi, Hendrana; Prakosa, Setya Widyawan; Firdaus, Muhammad Azka
International Journal of Applied Mathematics, Sciences, and Technology for National Defense Vol 2, No 3 (2024): International Journal of Applied Mathematics, Sciences, and Technology for Natio
Publisher : FoundAE

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58524/app.sci.def..v2i3.439

Abstract

Indonesia is an archipelagic country situated between two continents and two oceans. With numerous islands, it is rich in natural resources but faces various military and non-military threats. One significant threat to maritime nations like Indonesia is from the air, which includes direct attacks from manned and unmanned aircraft and using aerial vehicles for intelligence and surveillance. The primary weapon system is crucial for national defense against such threats. Therefore, developing defense equipment in Indonesia must align with technological advancements to ensure quick and efficient operation. This research focuses on creating a classification and reconnaissance system for flying vehicles to enhance air defense capabilities. In the surveillance system, two servos are used for yaw and pitch axes, controlled by a Proportional, Integrative, and Derivative (PID) system. This PID control significantly improves servo movement both dynamically and statically. The system sends notifications via Telegram for monitoring, with an average FPS of 9.6. Flask is used for the website interface, averaging 6.8 FPS, and MIT App Inventor is used for the smartphone interface, averaging 7.6 FPS. This flying vehicle classification and reconnaissance system enhances Indonesia's air defense, utilizing YOLOv8 for classification, PID control for servo movements, and integrated notifications and interfaces for both web and smartphones.
Development of PIR sensor-based security system and IoT-based esp-32 wrover cam module for monitoring military headquarters and vital objects Jatiyoso, Hero Benta; Riadi, M. Farrel; Atturoybi, Abdurrosyid; Mardamsyah, Adam; Tjahjadi, Hendrana
Jurnal Mandiri IT Vol. 14 No. 1 (2025): July: Computer Science and Field.
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/mandiri.v14i1.437

Abstract

Military headquarters security requires advanced systems to detect intrusions and ensure real-time monitoring. This study proposes an IoT-integrated security system using PIR sensors and an ESP-32 WROVER Cam module, designed to enhance detection accuracy, automate alerts, and improve remote surveillance capabilities. The system integrates a PIR sensor for motion detection, an ESP-32 Cam for image capture, and IoT protocols for real-time data transmission via Telegram. A LoRa module extends communication range for large-scale military environments. Simulations tested response time, detection accuracy, and notification reliability under varying conditions. The system achieved a response time of 1.1–1.6 seconds, 100% buzzer activation for alarms, and consistent Telegram notification delivery. Compared to existing systems, its key innovation lies in combining low-cost hardware with IoT connectivity and LoRa-based long-range communication (up to 20–30 km), enabling efficient threat detection and remote interaction. This approach offers a scalable, energy-efficient solution for military security, outperforming traditional systems through real-time responsiveness, reliable alerts, and secure data transmission. The integration of IoT and LoRa addresses gaps in existing object detection systems, particularly in large-area surveillance.