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Reffli Ghandara
Akademi Komunitas Industri Tekstil dan Produk Tekstil Surakarta
Chemical Engineering, Chemistry & Bioengineering Chemistry Decision Sciences, Operations Research & Management Engineering Industrial & Manufacturing Engineering Materials Science & Nanotechnology

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Development of an Internet of Things–based fabric defect recording system with automatic length measurement using a rotary encoder Andrian Wijayono; Fahmi Fawzy Rusman; Nurfadilah Ikhsani; Reffli Ghandara
SAINTEKS : Jurnal Sain dan Teknik Vol. 8 No. 01 (2026): Maret
Publisher : Universitas Insan Cendekia Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37577/sainteks.v8i01.1079

Abstract

The textile industry requires efficient, accurate, and real-time quality control systems to replace paper-based inspection methods prone to errors and delays. This study develops and evaluates an Internet of Things (IoT)-based fabric defect recording system integrating a rotary encoder for length measurement, Arduino Uno as the controller, ESP32 as the communication module, a keypad for operator input, and a web-based MySQL database. The system automatically measures fabric length, records defect types, and transmits data wirelessly for real-time monitoring and management. Validation was conducted by comparing the proposed system with manual measurement and industrial inspection machines. One-Way ANOVA results show no significant difference in measurement accuracy (p = 0.865 > 0.05), with a Mean Absolute Error (MAE) of 0.0074 m, indicating high precision. Efficiency testing using a paired sample t-test shows a 79.2% reduction in recording time, from 16.8 seconds to 3.5 seconds (using digital recording system), with a significant difference (p < 0.001). The system also demonstrates reliable performance with low latency (120–150 ms), high repeatability, and zero data loss through buffering during network disruptions. These results indicate that the system improves operational efficiency while maintaining accuracy comparable to conventional methods and supports real-time integrated data management for textile industry digital transformation.
PENGARUH TEKANAN CRADLE WINDING TERHADAP DENSITAS GULUNGAN BENANG CAMPURAN Fahmi Fawzy Rusman; Nurfadilah Ikhsani; Andrian Wijayono; Reffli Ghandara
Texere Online First
Publisher : Politeknik STTT Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53298/texere.v24i2.01

Abstract

The increasing use of pineapple leaf fiber (PALF) as a sustainable natural fiber has encouraged the development of blended yarns with characteristics that differ from those of conventional cotton yarns. These differences are expected to influence yarn package formation during the winding process, particularly package density, which plays a crucial role in package stability, unwinding performance, and package dyeing. However, studies investigating the effect of cradle pressure on the package density of cotton–PALF blended yarns and the application of digital image processing for dimensional measurement remain limited. Therefore, this study investigated the effect of cradle pressure variation in the winding process on the density of cotton–pineapple leaf fiber (PALF) blended yarn packages. Yarn package density is a critical parameter affecting package stability and downstream processes, including dyeing and unwinding. A controlled experimental design was applied using three pressure levels: 1.3 Bar, 2.1 Bar, and 3.5 Bar. Yarn Package density was determined using the mass to volume method, where mass was measured directly and volume was calculated through digital image processing. The experimental data were analyzed using descriptive statistics, one-way analysis of variance (ANOVA), Student–Newman–Keuls (SNK) post hoc test, and linear regression analysis. The results show that increasing cradle pressure significantly increases yarn package density (p 0.05). The average density increased from 0.3912 g/cm³ at 1.3 Bar to 0.5466 g/cm³ at 3.5 Bar. Linear regression analysis revealed a strong positive linear relationship with a coefficient of determination (R²) of 0.7598. It can be concluded that cradle pressure plays a significant role in improving yarn package compactness. The image processing method is also proven to be an effective non-contact approach for dimensional measurement with high consistency.
Co-Authors Fahmi Fawzy Rusman Nurfadilah Ikhsani Wijayono, Andrian