Utilization of Image Processing to Detect Hair Length According to SOP at IPB Vocational School Using Region-Based Segmentation

Alya Putri Salsabila
Achmad Syahmi Rasendriya
Muthia Nurul Sa'adah
Wahyu Mustika Aji
Rizky Fadlurohman
Endang Purnama Giri
Gema Parasti Mindara

International Journal of Multilingual Education and Applied Linguistics
Vol. 1 No. 4 (2024): November : International Journal of Multilingual Education and Applied Linguist

This study utilizes image processing technology to detect student hair length in accordance with the Standard Operating Procedures (SOP) at IPB Vocational School. Manual supervision is often inefficient and prone to subjectivity, leading to the development of an automated detection system using a region-based segmentation approach. This method identifies the forehead area as a reference point, where hair is considered long if it exceeds specified limits. The system is implemented in a web-based application called Rambot, enabling students to verify their compliance with SOPs more easily. This technology aims to improve the accuracy and consistency of hair length monitoring.