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All Journal Journal of Educational, Health and Community Psychology Tibuana : Journal of Applied Industrial Engineering Jurnal Abadimas Adi Buana Majalah Ekonomi Jurnal Penamas Adi Buana Wahana : Tridarma Perguruan Tinggi WAKTU: Jurnal Teknik UNIPA Aptisi Transactions on Technopreneurship (ATT) bit-Tech Jurnal Scientia Etos : Jurnal Pengabdian Masyarakat IJORER : International Journal of Recent Educational Research Seminar Nasional Hasil Riset dan Pengabdian (SNHRP) Jurnal Pengabdian Inovasi dan Teknologi Kepada Masyarakat Jurnal Sains dan Aplikasi Keilmuan Teknik Industri Jurnal Ilmiah Multidisiplin Indonesia Jurnal Pengabdian Masyarakat dan aplikasi Teknologi Kanigara Advance Sustainable Science, Engineering and Technology (ASSET)
Yunia Dwie Nurchayanie
Universitas PGRI Adi Buana Surabaya
Agriculture, Biological Sciences & Forestry Arts Humanities Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mathematics Mechanical Engineering Nursing Physics Public Health Social Sciences Transportation Other

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Journal : bit-Tech

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Fashion Cerdas: AI dan Masa Depan Industri Mode Nurcahyanie, Yunia Dwie; Winarno, Adi; Misbahuddin, Agus Ridwan
bit-Tech Vol. 7 No. 3 (2025): bit-Tech
Publisher : Komunitas Dosen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32877/bt.v7i3.2242

Abstract

Industri fashion mengalami transformasi fundamental dengan integrasi kecerdasan buatan (AI) dalam berbagai aspek, mulai dari desain, produksi, hingga pemasaran. AI telah merevolusi cara industri ini beroperasi dengan memungkinkan personalisasi tren, prediksi permintaan pasar, serta optimalisasi rantai pasok secara lebih efisien dan akurat. Teknologi berbasis machine learning, computer vision, dan natural language processing berperan dalam menganalisis data konsumen, mengembangkan desain otomatis, serta meningkatkan pengalaman pelanggan melalui sistem rekomendasi berbasis AI. Selain itu, AI berkontribusi dalam pengurangan limbah produksi melalui optimalisasi penggunaan bahan baku dan prediksi tren mode yang lebih presisi, sehingga meningkatkan aspek keberlanjutan industri fashion. Penelitian ini meninjau penerapan AI dalam industri fashion dengan fokus pada berbagai teknologi inovatif yang digunakan dalam pengembangan desain fashion, e-commerce, serta manajemen rantai pasok. Studi ini juga mengidentifikasi tantangan utama dalam implementasi AI, termasuk biaya investasi tinggi, ketergantungan pada data berkualitas, serta isu etika terkait bias algoritma dan dampak terhadap tenaga kerja manusia. Meskipun menghadapi tantangan tersebut, penerapan AI menawarkan peluang besar untuk meningkatkan efisiensi operasional, mempercepat inovasi desain, dan memperkuat daya saing industri fashion di tingkat global. Dengan berkembangnya teknologi AI, industri fashion diharapkan dapat lebih adaptif, inovatif, dan berkelanjutan dalam menghadapi dinamika pasar global. Hasil penelitian ini dapat memberikan wawasan bagi akademisi dan praktisi industri fashion dalam memahami potensi serta implikasi jangka panjang dari adopsi AI, sekaligus mendorong penelitian lebih lanjut mengenai integrasi teknologi ini dalam berbagai aspek industri fashion.
Optimizing 3-Axis CNC Router Design: Using QFD and DFM for Enhanced Precision and Efficiency Firgiawan, Mohammad Rivo; Nurcahyanie, Yunia Dwie
bit-Tech Vol. 8 No. 1 (2025): bit-Tech
Publisher : Komunitas Dosen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32877/bt.v8i1.2407

Abstract

The development of the manufacturing industry demands continuous innovation in machine technology, particularly the 3 Axis CNC Router, which plays a crucial role in various applications such as cutting, milling, and material shaping.This research aims to design and develop a more efficient and precise 3 Axis CNC Router machine with a user needs-based approach in Indonesia.This machine is optimized using Quality Function Deployment (QFD) to identify consumer needs through questionnaire data, as well as Design for Manufacture (DFM) to ensure a design that is easy to produce and cost-efficient.The results of the QFD and DFM analysis are used to develop the machine with superior features, such as improved cutting precision, reduced noise, and enhanced resistance to corrosion and material dust accumulation. The developed machine is capable of improving cutting accuracy to ±0.05 mm and processing speed by 20% faster compared to the previous machine.Additionally, the noise reduction also reaches more than 15 dB, enhancing operator comfort during use.This research also identifies the main customer needs, such as machine safety, speed, and machine strength, as well as secondary needs, such as aesthetics and dirt prevention.These findings not only provide technical solutions to the existing issues with CNC machines but also suggest a direction for developing machines that are more responsive to the needs of small and medium-sized enterprises in Indonesia, as well as more efficient in material and cost usage.
Co-Authors A.A. Ketut Agung Cahyawan W Abdul Hafidz Achmad Afandy Adi Winarno Afrista, Sitta Mega Alarsy, Alarsy Antonius Cahyono Antonius Cahyono Arieviana Ayu Laksmi Asidigisianti Surya Patria Baihaqi Baihaqi Binantoro, Patria Winahyu David Nugroho Dewi Sukmawati Dinar Ester Marturia Oktaviana Simanjuntak Dinda Cahya Novianti Djoko Adi Walujo Djoko Adi Walujo Djoko Adi Walujo Dwi Arman Prasetya Eva Rosita Firgiawan, Mohammad Rivo Gilang Surya Hanny Hafiar Jariyah Jati Abdhi Wasesa, Andarmadi Jelita Citrawati Jihan Khalid Walidi Koesdijati, Titik M. Hanif Zufikri M. Nushron Ali Mukhtar Maemonah, Maemonah Meita Santi Budiani Meita Santi Budiani, Meita Santi Misbahuddin, Agus Ridwan Mochammad Abdul Machfud Mulyana, Phonny Aditiawan nanda, famela berry Ni Wayan Sukmawati Puspitadewi NOVA KRISTIANA Olievia Prabandini Mulyana Olievia Prabandini Mulyana, Olievia Prabandini Panjaitan, Nismah Patria Winahyu Binantoro Prasetiyo, Bagus Prihono Prihono Prihono Prihono Prihono Prihono Prihono, Prihono Rohmadiani, Linda Dwi Rosariawari, Firra Rosita, Eva Rudiyantoro Rudiyantoro Rudiyantoro, Rudiyantoro Rusdiyantoro Rusdiyantoro Rusdiyantoro Rusdiyantoro Rusdiyantoro Rusdiyantoro, Rusdiyantoro Sagita Rochman Siti Nuurlaily Rukmana, Siti Nuurlaily Sitta Mega Afrista Suharyanto Suharyanto Suparman Suparman Titik Koesdijati Titik Koesdijati Titik Koesdijati Tjahjani, Ida Kusnawati Umi Anugerah Izzati Umi Anugerah Izzati, Umi Anugerah usuf Agung Zakaria Walidi, Khalid Yitno Utomo Yulianto , Muhammad Teguh Zakaria, Muhammad Zulvan