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All Journal Manutech : Jurnal Teknologi Manufaktur Jurnal Inovasi Teknologi Terapan
Karimah, Savira
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Agriculture, Biological Sciences & Forestry Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Industrial & Manufacturing Engineering Mechanical Engineering

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Implementasi Metode YOLOv5 pada Sistem Pendeteksi Jentik Nyamuk Berbasis IoT Karimah, Savira; Tri Pangestu, Rafif; Febriansyah, Aan; Irwan, Irwan
Jurnal Inovasi Teknologi Terapan Vol. 2 No. 2 (2024): Jurnal Inovasi Teknologi Terapan
Publisher : Politeknik Manufaktur Negeri Bangka Belitung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33504/jitt.v2i2.184

Abstract

Indonesia is a tropical country that generally faces the risk of widespread mosquito distribution in each of its regions. With the abudance of mosquito distribution, the spread of mosquito larvae will also increase. As a result, mosquito larvae fins suitable places to breed in hard-to-reach areas. Therefore, a tool is needed to monitor these mosquito larvae when they are in water reservoir or containers that are difficult to access. The method used in this final project is You Only Look Once (YOLO). Based on the system can perform detection but is not yet working optimally. The system can detect well in places with bright light intensity or not too dark. The test result of this system show that it can detect many mosquito larvae at once. The accuracy results obtained from testing range from 51% - 89%.
Akurasi Pendeteksian Berdasarkan Parameter Jarak, Jumlah Obyek dan Kekeruhan Air pada Obyek Bergerak Jentik Nyamuk Febriansyah, Aan; Surojo, Surojo; Pangestu, Rafif Tri; Karimah, Savira
Manutech : Jurnal Teknologi Manufaktur Vol. 16 No. 02 (2024): Manutech: Jurnal Teknologi Manufaktur
Publisher : Politeknik Manufaktur Negeri Bangka Belitung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33504/manutech.v16i02.396

Abstract

 A system for detecting the presence of mosquito larvae can be used as a solution to find out whether the air reservoir is healthy or not. This mosquito larva detection system uses several measuring parameters, including the distance between the object of the mosquito larva and the camera, air turbidity/light conditions, and the number of mosquito larvae in the air protector. From the results of tests carried out on the detection distance parameters, the results showed that the system could detect the presence of mosquito larvae within a distance of 5-15 cm in clear air/bright light conditions with a detection success rate above 80%. In the same test, but with cloudy air/dark light conditions, detection went well but a detection error occurred at a distance of 15 cm, namely the system detected objects other than mosquito larvae as mosquito larvae. This is due to several factors, including the lack of variation in the dataset, the detection system is carried out in real-time (in the form of video capture) and the camera specifications used do not meet the minimum value required by the computing system.
Co-Authors Aan Febriansyah Irwan Irwan Pangestu, Rafif Tri Surojo, Surojo Tri Pangestu, Rafif