Claim Missing Document
Check
Articles

Found 4 Documents
Search

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.
Cotton Ply Yarn Twist and Filling Stop in Air-Jet Woven Mori Fabric Andrian Wijayono; Reffli Ghandara; Fahmi Fawzy Rusman; Nurfadilah Ikhsani
SAINTEKS : Jurnal Sain dan Teknik Vol. 8 No. 02 (2026): September
Publisher : Universitas Insan Cendekia Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37577/sainteks.v8i02.1163

Abstract

The aerodynamic interaction between weft yarn and compressed air plays a critical role in determining weaving performance in air-jet looms. Although increasing ply twist is known to reduce yarn hairiness by improving yarn compactness, its influence on actual filling stop behavior under industrial weaving conditions has not been comprehensively investigated. This study investigated how cotton ply yarn twist affects yarn hairiness and filling stop rate during the production of 100% cotton greige (mori) fabric on a Toyoda air-jet loom under commercial manufacturing conditions. Cotton Ne 20 ply yarns were prepared from two Ne 40 single yarns using a two-for-one twisting process with ply twist levels of 400, 600, and 800 TPM while maintaining identical yarn count, fiber composition, and weaving parameters. Yarn hairiness was measured using a COVATEST hairiness tester, whereas weaving performance was evaluated based on the filling stop rate recorded over five weaving repetitions of 100,000 picks for each twist level. One-way ANOVA was performed to assess the effect of ply twist on filling stop rate, followed by Tukey’s HSD test for post-hoc comparisons. In addition, linear regression analysis was performed to quantify the observed association between yarn hairiness and filling stop rate. Yarn hairiness decreased progressively from 5.63 ± 0.06 at 400 TPM to 4.54 ± 0.05 at 800 TPM, corresponding to an overall reduction of 19.36%. Conversely, the filling stop rate increased from 0.80 ± 0.84 to 6.20 ± 1.48 stops per 100,000 picks as the ply twist increased. Statistical analysis confirmed that ply twist significantly affected the filling stop rate (F = 19.895, p < 0.001). Linear regression showed a strong negative association between yarn hairiness and filling stop rate (r = ?0.855, R² = 0.731, p < 0.001). However, because both variables varied systematically with ply twist, this association does not establish an independent causal effect of hairiness on filling stop occurrence. The observed increase in filling stop rate with higher ply twist, together with the reduction in yarn hairiness, suggests that changes in yarn surface characteristics may influence weft insertion under compressed airflow. A possible explanation, consistent with previous studies, is that the smoother and more compact yarn surface associated with higher ply twist may reduce aerodynamic interaction during weft insertion. However, this aerodynamic mechanism was not directly measured in the present study. These findings demonstrate an association between ply twist, yarn hairiness, and filling stop behavior under commercial air-jet weaving conditions, providing practical insight into ply yarn design for weaving performance.
PENGARUH TEKANAN CRADLE WINDING TERHADAP DENSITAS GULUNGAN BENANG CAMPURAN Fahmi Fawzy Rusman; Nurfadilah Ikhsani; Andrian Wijayono; Reffli Ghandara
Texere Vol 24, No 2 (2026): Texere Volume 24 Nomor 2 Tahun 2026
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.