Article Per Year (5 Year)
p-Index From 2020 - 2025
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All Journal International Journal of Multilingual Education and Applied Linguistics
Rizky Fadlurohman
Unknown Affiliation
Arts Computer Science & IT Education Languange, Linguistic, Communication & Media Public Health Social Sciences

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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
Publisher : Asosiasi Periset Bahasa Sastra Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/ijmeal.v1i4.130

Abstract

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.
Co-Authors Achmad Syahmi Rasendriya Alya Putri Salsabila Endang Purnama Giri Gema Parasti Mindara Muthia Nurul Sa'adah Wahyu Mustika Aji