PENGEMBANGAN SISTEM PENGUKUR PAKAIAN BERBASIS PENGOLAHAN CITRA DIGITAL

The garment manufacturing industry is known for its complex production processes and heavy reliance on labor. The demand for high product quality makes quality control an essential step. In vocational education, where students are prepared to become competent workers, it is crucial for instructors to evaluate garments produced by students in a manner consistent with industry standards. However, a common challenge is the difficulty of measuring the dimensions of student-produced garments, often constrained by limited time and workforce. The number of garments produced by students frequently exceeds three times the number of students, leaving instructors overwhelmed during measurements. Garment dimension measurements can only be conducted in the garment workshop during practical sessions, as the garments cannot be taken elsewhere for evaluation. This limitation reduces flexibility and impacts the quality of education, which should provide comprehensive feedback on students’s work. To address this issue, a garment measurement system based on digital image processing has been developed as an alternative evaluation method. This system has been validated using two-way ANOVA testing, demonstrating no significant differences compared to manual measurement methods, with a 95% confidence level. Additionally, the system proves to be more efficient, saving 20–30 seconds per measurement compared to manual methods. Furthermore, a survey of 32 respondents shows positive feedback on this system.

Authors

Publication Details

Journal
Prosiding SNAST
Published
2024-11-23
DOI
https://doi.org/10.34151/prosidingsnast.v1i1.5110
Primary Topic
Computer Science and Engineering
Type
article
Field-Weighted Citation Impact
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PENGEMBANGAN SISTEM PENGUKUR PAKAIAN BERBASIS PENGOLAHAN CITRA DIGITAL

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Computer Science and Engineering
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PENGEMBANGAN SISTEM PENGUKUR PAKAIAN BERBASIS PENGOLAHAN CITRA DIGITAL

Andrian Wijayono, Wilda Murti, Verawati Nurazizah, Reski Alya Pradifta, Nurfadilah Ikhsani, Fahmi Fawzy Rusman
article en

Abstract

The garment manufacturing industry is known for its complex production processes and heavy reliance on labor. The demand for high product quality makes quality control an essential step. In vocational education, where students are prepared to become competent workers, it is crucial for instructors to evaluate garments produced by students in a manner consistent with industry standards. However, a common challenge is the difficulty of measuring the dimensions of student-produced garments, often constrained by limited time and workforce. The number of garments produced by students frequently exceeds three times the number of students, leaving instructors overwhelmed during measurements. Garment dimension measurements can only be conducted in the garment workshop during practical sessions, as the garments cannot be taken elsewhere for evaluation. This limitation reduces flexibility and impacts the quality of education, which should provide comprehensive feedback on students’s work. To address this issue, a garment measurement system based on digital image processing has been developed as an alternative evaluation method. This system has been validated using two-way ANOVA testing, demonstrating no significant differences compared to manual measurement methods, with a 95% confidence level. Additionally, the system proves to be more efficient, saving 20–30 seconds per measurement compared to manual methods. Furthermore, a survey of 32 respondents shows positive feedback on this system.

Prosiding SNAST
Decent work and economic growth
Openalex Percentile: Top 77%
Computer Science and Engineering
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