IPB University Vocational School Students Invent Mas-Tion, IoT-Based Mastitis Detection Tool for Dairy Cows
IPB University Vocational School students have innovated the Mas-Tion (Mastitis Detection) tool, a technology based on electric-optical sensors, machine learning, and the Internet of Things (IoT) designed to detect mastitis, a disease that often affects dairy cows and has a direct impact on milk quality and quantity.
This innovation was developed by the Student Creativity Program (PKM-KC) team that successfully passed the funding stage and the National Student Scientific Week (Pimnas), and was funded by the Ministry of Education, Culture, Research and Technology (Kemendikbudristek).
The IPB University Vocational School PKM-KC team is a collaboration between the Livestock Technology and Management Study Program and the Software Engineering Technology Study Program, consisting of Rizal Hakim (Project Coordinator), Aditya Rieyza Munif (Technical Artisan), Dhiyaurrahman Hamizan Haikal Putra (Designer and Social Media Strategist), Dzaky Fahri Hadafi (Programmer), Ukasyah Muhammad Syafiq (Public Relations) and guided by Medhanita Dewi Renanti SKom, MKom.
Mastitis is one of the diseases that is the main cause of low milk production in Indonesia, which is currently only able to provide 19 percent of the national demand. According to the Central Statistics Agency (BPS), the remaining 81 percent must be imported.
“We developed Mas-Tion to help farmers detect mastitis early, so that milk productivity can increase,” said Rizal Hakim, project coordinator.
Mas-Tion consists of two main components, namely Mas-Tion Cam and Mas-Tion Vity. Mas-Tion Cam detects clinical mastitis based on physical symptoms such as swelling and rising udder temperature. While Mas-Tion Vity detects subclinical mastitis through milk conductivity measurements.
“Both tools are designed to make it easier for farmers to monitor the condition of their cows on a daily basis,” Rizal Hakim explained further.
This tool also has advantages in terms of accuracy – 96 percent for subclinical mastitis detection and 98 percent for clinical detection – which is higher than conventional methods such as the California Mastitis Test (CMT), which is often subjective.
“With this technology, we hope to bring a big change in the Indonesian dairy farming industry,” he added.
Currently, Mas-Tion is still in the prototype development stage, and the team hopes this innovation can receive further support from various parties to be commercialized soon. “We hope this tool can soon be widely used by dairy farmers in Indonesia,” concluded Rizal Hakim. (ASW/Rz) (IAAS/RUM)
