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Wiah Wardiningsih
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texere@stttekstil.ac.id
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Texere
Published by Bandung Polytechnic of Textile Technology
ISSN : 1411309     EISSN : 27741893     DOI : https://doi.org/10.53298/texere.v19i1
Core Subject : Science, Engineering,
Chemistry Engineering Industrial & Manufacturing Engineering Materials Science & Nanotechnology
Texere merupakan majalah ilmiah yang mencakup karya tulis ilmiah bidang tekstil, garmen dan fesyen baik yang terkait dengan proses produksi ataupun proses pendukung (supporting)
Arjuna Subject : Ilmu Material (semua kategori) - Ilmu Material (Lain-Lain)
Articles 103 Documents
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PENINGKATAN KUALITAS BENANG RAYON VISKOSA SEBAGAI BAHAN BAKU KAIN TENUN TRADISIONAL Makki, Achmad Ibrahim; Sumihartati, Atin; Ibrahim, Irfan Maulana; Setiawan, Nandang
Texere Vol 23, No 2 (2025): Texere Volume 23 Nomor 2 Tahun 2025
Publisher : Politeknik STTT Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53298/texere.v23i2.02

Abstract

Benang rayon 100% produk PT XYZ memiliki kekuatan tarik benang yang lebih rendah dari standar yang telah ditentukan sehingga benang tersebut tidak dapat dijadikan benang lusi untuk ditenun dalam ATBM. Untuk meningkatkan kekuatan benang dapat dilakukan dengan menambahkan twist atau melakukan penggintiran dan Penganjian. Proses penggintiran yang terdiri dari 2 helai serta proses penganjian untuk benang single dilakukan untuk meningkatkan kualitas benang rayon viskosa. Dari masing-masing sample kemudian dilakukan percobaan dibuat kain menggunakan ATBM. Hasil proses penggintiran didapatkan hasil sifat mekanik yang lebih baik dari benang single dan dapat dibuat menjadi kain tenun menggunakan ATBM. Sedangkan benang hasil penganjian tidak bisa dilanjutkan proses pertenunan menggunakan ATMB. Sehingga untuk meningkatkan daya mampu tenun dari benang Rayon MVS PT XYZ dapat dilakukan dengan cara penggintiran.
Analytical Data for Sewing Production Efficiency: A Model Based on Artificial Neural Networks (ANNs) Abdullah, Fadil; Kusumadewi, Afriani; Martina, Tina; Kuswinarti, -; Achmad, Fandi
Texere Vol 23, No 2 (2025): Texere Volume 23 Nomor 2 Tahun 2025
Publisher : Politeknik STTT Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53298/texere.v23i2.07

Abstract

The labor-intensive apparel manufacturing sector is continually focused on meeting output goals, necessitating continuous improvements in production efficiency. Achieving targets at the lowest feasible cost is crucial for production management efficiency, especially in clothing production. The sewing component plays a vital role in enhancing the usefulness of clothing through a series of steps to produce ready-made garments. To optimize this process, we developed a model using an artificial intelligence (AI)-based method, specifically Artificial Neural Networks (ANNs), to enhance sewing production efficiency. The model focused on optimizing parameters that significantly influenced efficiency. Our results demonstrate that the ANNs model, with 1000 iterations, successfully replicates empirical data with an R-squared value of 0.98. The research introduces the novel use of an ANNs model with a five-node configuration and 1000 iterations, proving effective in optimizing sewing process parameters. This AI-based approach is a powerful tool for improving production efficiency in the textile industry, making significant theoretical and practical contributions. The findings offer substantial practical implications for practitioners in the textile industry and provide a robust framework for optimizing sewing production process parameters to achieve higher efficiency.
POLIAKRILAT PADA BENANG KATUN SEBAGAI SOLUSI PENENUNAN PADA KONDISI KELEMBABAN RENDAH Hendra, -; Hadiana, Nana
Texere Vol 23, No 2 (2025): Texere Volume 23 Nomor 2 Tahun 2025
Publisher : Politeknik STTT Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53298/texere.v23i2.03

Abstract

Low humidity during weaving processes causes cotton yarns to become brittle and prone to breakage. To address this issue, polyacrylate has been explored as an alternative sizing agent due to its flexibility and high adhesion. This study aims to review the effectiveness of polyacrylate sizing on cotton yarns in dry environments. A narrative literature review was conducted by analyzing ten scientific articles published between 2021 and 2025 from reputable databases. The findings show that polyacrylate can enhance yarn tensile strength by up to 30%, reduce energy consumption, and extend the lifespan of weaving machinery. Moreover, bioactive-based polyacrylate formulations support sustainability through improved biodegradability and environmental friendliness. However, certain formulations still pose compatibility challenges with textile finishing processes, such as reactive dyeing and digital printing. Further reformulation and industrial-scale testing are necessary to ensure both technical performance and ecological safety. This review offers strategic insights into the development of future sizing agents that are adaptive, efficient, and sustainable

Page 11 of 11 | Total Record : 103

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