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Yunia Dwie Nurchayanie
Universitas PGRI Adi Buana Surabaya
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Journal : bit-tech

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Fashion Cerdas: AI dan Masa Depan Industri Mode Yunia Dwie Nurcahyanie; Adi Winarno; Agus Ridwan Misbahuddin
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 Mohammad Rivo Firgiawan; Yunia Dwie Nurcahyanie
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.
Text-Based Sentiment Analysis of Online Reviews: Evidence from Indonesia’s Muslim Women’s Fashion Sector Yunia Dwie Nurcahyanie; Sabrina Nur Saraswati
bit-Tech Vol. 8 No. 3 (2026): bit-Tech
Publisher : Komunitas Dosen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Indonesia’s Muslim women’s fashion market has expanded rapidly alongside e-commerce growth, generating massive volumes of online product reviews (OPRs) that remain underutilized for systematic product development. This study addresses a gap in the literature: while sentiment analysis can classify review polarity, term-level classification alone cannot translate consumer feedback into actionable design attributes for fashion products, a domain where tacit knowledge, material properties, and aesthetic judgment are central. A two-layer hybrid approach is proposed that combines computational sentiment extraction with expert semantic translation. In the first layer, 2,050 OPRs from three Indonesian Muslim fashion brands on Shopee were preprocessed and classified using a maximum entropy (MaxEnt) model, achieving 84.11% accuracy, 90.09% precision, and an F1 score of 89.95% on test data. In the second layer, ten experienced designers interpreted the MaxEnt output through structured interviews, translating raw sentiment features into design-relevant categories. Positive sentiment features clustered around product quality, material comfort, and design authenticity, while negative features concentrated on product-image discrepancies, poor fabric quality, sizing mismatches, and color inaccuracy. Designer interpretation uncovered semantic dimensions invisible to the classifier, yielding eight major product performance categories. This study contributes methodologically by demonstrating the necessity of a human-in-the-loop expert validation layer for sentiment-based consumer insight extraction in design-intensive domains, and practically by providing a framework for converting OPR data into product development inputs.
Co-Authors , LISTYANINGSIH . Suwarsito ., Rusdiyantoro A.A. Ketut Agung Cahyawan W Abdul Hafidz Abdul Hamid Achmad Afandy Adelia Azzahra Adi Winarno Afrista, Sitta Mega Ageng Brahmadhi Agus Ridwan Misbahuddin Ahmad Bahrul Alam Alarsy, Alarsy Alexander Indra Putra Hartawan Alorinda Zantia Maubila Ambar Mudigdo Andita Fitria Rahmawati Anggalih , Nanda Nini Antonius Cahyono Antonius Cahyono Arieviana Ayu Laksmi Arif Rahman Hakim Asidigisianti Surya Patria Asidigisianti Surya Patria Aulia Rahmayanti Ayu, Manik Baihaqi Baihaqi Bily Prasisko Binantoro, Patria Winahyu Carreca, Irhamna Nirbhaya David Nugroho Deril Adi Setya Deril Adi Setya Dewi Sukmawati Dewi, Melani Dhidhi Pambudi Dinar Ester Marturia Oktaviana Simanjuntak Dinda Cahya Novianti Dindha Aprilia Kinanti Djoko Adi Walujo Dwi Arman Prasetya Ekasriadi, Ida Ayu Agung Erna Nur Yuli Ana Esti Sarjanti Febriani, Winarti Dwi Gilang Surya Gresya Puspita Dewi Hanny Hafiar I Made Sujaya Ida Kusnawati Tjahjani Ida Kusnawati Tjahjani Indah Fitriana Putri Janatin, Yulia Jariyah Jati Abdhi Wasesa, Andarmadi Jelita Citrawati Jihan Khalid Walidi Kiky Bagus Setiyo Pratama Koesdijati, Titik Koosgiarto, Dharma Kusumaningrum, Itsna Diah Kuswardi, Yemi Laksana Damar Maulana Ridho Alamsyah Laksmi, Arieviana Ayu Listyaningsih Listyaningsih M. Hanif Zufikri M. Nushron Ali Mukhtar Made Kastawa, Made Maemonah, Maemonah Manik Ayu Titisari Martadi, Martadi Meita Ais Vikadanty Meita Santi Budiani Meita Santi Budiani, Meita Santi Moch Bahrul Ulum Mochammad Abdul Machfud Mohammad Afrizal Miradji Mohammad Rivo Firgiawan Muhamad Abdul Jumali Muhammad Akbar Atoni Ilhaq Muhammad Dwi Hendra Yudha Muhammad Risfan Ramadhani Muhammad Setyo Ferdhiansyah Muhammad Teguh Yulianto Muhtarom Mujib Mujib, Mujib Mulyana, Phonny Aditiawan Murahartawaty Murahartawaty Nanda Prima Setyawan nanda, famela berry Naufal Nur Alfian Ni Putu Premierita Haryanti Ni Wayan Sukmawati Puspitadewi Nismah Panjaitan Noerchoidah Noerchoidah Nova Kristiana NOVA KRISTIANA Nur Qidam Aliyanto Olievia Prabandini Mulyana Olievia Prabandini Mulyana, Olievia Prabandini Prasetiyo, Bagus Prihono Prihono Prihono Rahmat Mulyana Rita Adriani Benya Adriani Riyatun, Riyatun Rizka Anggrainy Rohmadiani, Linda Dwi Romdhoni, Fadhol Rosariawari, Firra Rosita, Eva Rudiyantoro Rudiyantoro Rudiyantoro, Rudiyantoro Rusdiyantoro Rusdiyantoro Rusdiyantoro Rusdiyantoro Rusdiyantoro Rusdiyantoro, Rusdiyantoro Sabrina Nur Saraswati Sabrina Nur Saraswati Sabrina Nur Saraswati Sabrina Nur Saraswati Sagita Rochman Satia, Putu Rudy Siti Istikhoroh Siti Nuurlaily Rukmana, Siti Nuurlaily Sitta Mega Afrista Soesilowati, Retno Soewarno, Soegimin Ardi Sri Widyastuti Suharyana Suharyana Suharyanto Suparman Suparman Titik Koesdijati Tiwi Purnawati Tjahjani, Ida Kusnawati Umi Anugerah Izzati Umi Anugerah Izzati, Umi Anugerah usuf Agung Zakaria Walidi, Khalid Warih Handayaningrum Wildan Surya Wijaya Yitno Utomo Yulianto, Muhammad Teguh Yundari, Yundari Yusniah Anggraini, Yusniah Yusuf Suryana Zakaria, Muhammad Zulvan