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All Journal JRSI (Jurnal Rekayasa Sistem dan Industri) Journal of Advanced in Information and Industrial Technology (JAIIT)
Fadil Abdullah
Unknown Affiliation
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Industrial & Manufacturing Engineering

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Proposed Quality Control Method for Greig Fabric Production on RRC Shuttel Weaving Machine Using FTA-FMEA to Reduce Fabric Defects at PT XYZ Fadil Abdullah; Iphov Kumala Sriwana
Jurnal Rekayasa Sistem & Industri Vol 10 No 02 (2023): Jurnal Rekayasa Sistem & Industri
Publisher : School of Industrial and System Engineering, Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25124/jrsi.v10i02.603

Abstract

PT XYZ faces challenges in declining product quality due to production defects exceeding the optimaltolerance limit of 2% per period for six consecutive periods. This research aims to identify and addressdefects, offering action strategy recommendations to mitigate and prevent their recurrence during theproduction of grey fabric on RRC shuttle loom machines. The study utilizes an integrated analysis method,combining Fault Tree Analysis (FTA) and Failure Mode and Effect Analysis (FMEA). The researchhighlights five major defect types in grey fabric products, constituting 80% cumulatively. These defectsinclude pickbar issues, ambrol (fraying), tears, broken threads, and skipped weaving. Twelve root causescontributing to these defects in RRC shuttle loom production are identified and evaluated based on theirRisk Priority Number (RPN), categorized into classes A, B, and C with varying risk intensities. Two rootcauses from Class A, constituting 20% cumulatively, are identified as primary defect causes. These issuesinvolve the fit of the weaving reed and discrepancies in the let-off and take-up motion mechanism on theloom machine, each with an RPN value of 648. Action strategy recommendations are provided for thesetwo root causes, collectively contributing to 20% of the overall problem percentage. The objective is toprevent the recurrence of the five major defect types, accounting for 80% of the cumulative percentage.This comprehensive approach aims to rectify the identified issues, ensuring a higher standard of productquality in the textile manufacturing process
Prototype Development of a Real-Time Monitoring System Based on Android and Cloud Database for Textile Non-Thermal Plasma Treatment Fadil Abdullah; Putra, Valentinus Galih Vidia; Hamidah, Siti Nur; Hafizah Aprilia
Journal of Advances in Information and Industrial Technology Vol. 7 No. 2 (2025): Nov
Publisher : LPPM Telkom University Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52435/jaiit.v7i2.686

Abstract

The textile modification process using plasma treatment requires accurate monitoring of gas species generated during operation; however, no system is currently available to measure these gas concentrations in real time. To address this gap, this study develops a plasma gas monitoring system for textile material modification, using experimental data obtained from laboratory tests conducted in 2024. The research employs a practical prototyping approach consisting of four stages: requirement identification, system design, prototype construction, and performance validation. The system is designed to continuously record plasma-generated gas concentrations and store the data in an internet-based database. The prototype consists of two main components: (1) a sensing unit built on an Arduino Uno microcontroller integrated with DHT-11 and MQ-131 sensors for measuring temperature, humidity, and ozone concentration, and (2) a data management platform using Google Spreadsheet connected to a mobile application to enable real-time monitoring and control. Evaluation results show that the monitoring tool achieved a Mean Absolute Error (MAE) of 0.6625 ppm, indicating that the system provides reasonably accurate measurements for initial validation. As this assessment is preliminary, future studies should employ a larger dataset to increase statistical robustness and further verify system performance. Overall, the findings contribute to the development of an accessible, Android-based plasma treatment monitoring system capable of supporting real-time monitoring in textile material modification applications.   
Co-Authors Hafizah Aprilia Hamidah, Siti Nur Iphov Kumala Sriwana Putra, Valentinus Galih Vidia