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Integration of gas and dust detection sensors with human detection and LORA communication on drones for smart campus surveillance patrols at UNHAN RI Adama, Audirialy Naufal; Nurjaman, Ahmad Idlof; Faariz H, Naufal; Ariateja, Dananjaya; Sunarta, Sunarta
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.v14i1.421

Abstract

To improve the effectiveness of environmental monitoring and security activities in open areas or the UNHAN RI Smart Campus, this study provides solutions and recommendations, namely the integration of gas and dust detection sensors with a human detection system based on drones and LoRa as the communication protocol. Drones equipped with gas sensors such as the MQ-135 and dust particle sensors like the Nova PM SDS011 can monitor air quality in real-time. Additionally, a camera-based human detection system combined with an Artificial Intelligence algorithm such as YOLOv8, along with LoRa SX1278 as the communication protocol, can detect the presence of humans or intruders in the patrol area. The integration of these two systems can facilitate campus security personnel in using drones for automatic patrols, monitoring and assessing air pollution levels, and identifying individual movements in the monitored area simultaneously. Test results indicate that the combination of sensors and data processing systems based on the ESP8266 microcontroller on the drone device, along with communication protocols using LoRa SX1278, can provide sufficiently accurate visual and numerical information to support rapid response decisions in emergency situations such as theft, fires, and illegal activities within the UNHAN RI smart campus zone. This research can serve as an initial step toward developing an autonomous multi-sensor drone system based on Artificial Intelligence for integrated surveillance patrol tasks in the future.
Desain Simulasi Interface Pistol G2 COMBAT Kal. 9 mm dengan Simulator Pimp My Gun Praditasari, Wibby Aldryani Astuti; Ariateja, Dananjaya; Fatmawati, Uvi Desi; Hutapea, Herwin Melyanus; Tjahjadi, Tjahjadi; Sunardi, Agus; David, Muhammad; Friskilla , Angelita; Dewanata, Pandhu
Jurnal Otomasi Kontrol dan Instrumentasi Vol 15 No 2 (2023): Jurnal Otomasi Kontrol dan Instrumentasi
Publisher : Pusat Teknologi Instrumentasi dan Otomasi (PTIO) - Institut Teknologi Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5614/joki.2023.15.2.3

Abstract

The development of firearms has been included as an introduction and use at the University of Defense. However, using firearms that are not used freely is a barrier for students to understand the ins and outs of firearms better. Therefore, in this research, firearms are replaced with interface simulation design. One firearm that needs to be designed for interface simulation is the G2 Combat pistol. The reason for using the G2 Combat pistol in making an interface simulation design is because the Indonesian armed forces have widely used it. The interface simulation design uses Pimp My Gun software. The method of designing the G2 Combat pistol interface simulation uses the waterfall method. The waterfall method is considered easy and systematic. After the interface simulation design is carried out, the results are compared with the original item or image, photo, and others. Assessment of the G2 Combat pistol interface simulation design with the original pistol by comparing and finding the level of similarity. The assessment results are 87.61% at imgonline.com and 86.14% at blue2digital.com. With two assessment results close to 100%, the G2 Combat pistol interface simulation design is successful. However, there still needs to be improvements so that the interface simulation design is even better in the future.