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Leveraging Artificial Intelligence in Marketing and Management: A Spatial Analysis of Competitiveness in Muslim Fashion Industry Yunia Dwie Nurcahyanie; Noerchoidah Noerchoidah; Siti Istikhoroh; Asidigisianti Surya Patria; Sabrina Nur Saraswati
Jurnal Ilmiah Manajemen Kesatuan Vol. 13 No. 6 (2025): JIMKES Edisi November 2025
Publisher : LPPM Institut Bisnis dan Informatika Kesatuan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37641/jimkes.v13i6.4201

Abstract

The Muslim fashion industry in Indonesia is growing rapidly, driven by increasing demand for culturally relevant designs and global market opportunities. This study aims to examine how artificial intelligence enhances the industry’s competitiveness through technology-driven marketing and management strategies, focusing on spatial disparities. A qualitative approach was used, combining interviews with 35 stakeholders in Jakarta, Bandung, and Surabaya, field observations, and spatial analysis using Geographic Information Systems. The findings reveal that urban centres lead in artificial intelligence adoption, achieving 89% accuracy in trend forecasting and a 22% increase in e-commerce conversion rates, while rural areas lag due to limited digital infrastructure. Cultural biases in designs and job displacement are notable challenges. This study is limited to major cities, potentially overlooking rural dynamics. The results highlight the need for inclusive digital policies to bridge the urban-rural gap, ensure culturally sensitive designs, and promote sustainable practices. These strategies can strengthen Indonesia’s position as a global leader in Muslim fashion.
A Content Analysis of the TikTok Account @amiirahanugrah: The Representation of Halal Food at 7-Eleven Stores in Thailand Mochammad Abdul Machfud; Asidigisianti Surya Patria; Abdul Hafidz; Nova Kristiana; Arieviana Ayu Laksmi; Yunia Dwie Nurcahyanie; David Nugroho
Jurnal Ilmiah Multidisiplin Indonesia (JIM-ID) Vol. 4 No. 12 (2025): Jurnal Ilmiah Multidisplin Indonesia (JIM-ID), December 2025
Publisher : Sean Institute

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Abstract

The rise of TikTok is particularly relevant in the food industry, where engaging visual content communicates product appeal. This study analyzes how halal food is represented in the TikTok account @amiirahanugrah, specifically regarding 7-Eleven Thailand products. The purpose is to identify the main themes and strategies used in presenting halal food. Using qualitative content analysis on three selected videos, the study reveals that the creator effectively acts as a "micro-halal ambassador" by integrating Islamic values into lifestyle content. The main findings indicate that halal perception is co-constructed through three key strategies: (1) the use of verbal religious expressions (e.g., Bismillah, Alhamdulillah) in non-ritual contexts; (2) visual transparency by displaying halal logos and ingredients; and (3) the demonstration of Islamic etiquette (adab) such as handwashing. Furthermore, audience analysis shows a mechanism of "social halal validation," where followers rely on trust in the creator's consistent persona and emotional tone rather than demanding formal verification, thereby effectively promoting cross-cultural halal tourism.
Analisis K3 pada Sistem Kerja Menggunakan Metode Chi Square : Studi Kasus Toko Madura Deril Adi Setya; Yunia Dwie Nurcahyanie
JURNAL ILMIAH TEKNIK INDUSTRI DAN INOVASI Vol. 4 No. 3 (2026): Juli : Jurnal Ilmiah Teknik Industri dan Inovasi
Publisher : CV. ALIM'SPUBLISHING

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59024/jisi.v4i3.2250

Abstract

Usaha mikro ritel, khususnya Toko Madura, memainkan peran penting dalam memenuhi kebutuhan masyarakat. Namun, aktivitas kerja yang didominasi oleh durasi kerja yang panjang, beban kerja fisik, dan postur kerja yang tidak ergonomis berpotensi menyebabkan keluhan kesehatan pada pekerja. Penelitian ini bertujuan untuk menganalisis hubungan antara durasi kerja, beban kerja fisik, dan postur tubuh dengan keluhan kesehatan serta mendeskripsikan implementasi Keselamatan dan Kesehatan Kerja (K3) berbasis ergonomi di usaha mikro ritel. Penelitian ini menggunakan pendekatan kuantitatif deskriptif dengan pengumpulan data melalui observasi dan kuesioner dari 60 responden yang bekerja di usaha mikro ritel di Surabaya, Mojokerto, dan Gresik. Analisis data dilakukan menggunakan uji Chi-Square untuk menguji hubungan antar variabel kategorikal. Hasil penelitian menunjukkan bahwa semua variabel memiliki hubungan yang signifikan dengan keluhan kesehatan, yaitu durasi kerja (p = 0,020), beban kerja fisik (p < 0,001), dan postur tubuh (p < 0,001), sehingga hipotesis alternatif diterima. Temuan ini menunjukkan bahwa semakin lama durasi kerja, semakin tinggi beban kerja fisik, dan semakin tidak ergonomis postur kerja, semakin besar risiko keluhan kesehatan pada pekerja. Implikasi dari penelitian ini adalah perlunya menerapkan manajemen K3 berbasis ergonomi melalui pengaturan jam kerja, penyediaan waktu istirahat yang memadai, pengendalian beban kerja, perbaikan postur kerja, penyusunan SOP, dan pelaksanaan pelatihan K3 secara berkala untuk meningkatkan kesehatan, keselamatan, dan produktivitas pekerja usaha mikro ritel.
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

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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.
PERANCANGAN OVEN KUE BERPEMANAS SIRIP (FINNED HEATING) BERBAHAN BAKAR GAS UNTUK PENINGKATAN PRODUKTIVITAS UMKM NASYA CAKE AND COOKIES Nurcahyanie, Yunia Dwie; Yitno Utomo; Ida Kusnawati Tjahjani; Prihono
Jurnal Penamas Adi Buana Vol 10 No 01 (2026): Jurnal Penamas Adi Buana
Publisher : LPPM Universitas PGRI Adi Buana Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36456/penamas.vol10.no01.a11780

Abstract

Usaha mikro, kecil, dan menengah (UMKM) Nasya Cake and Cookies di Kota Surabaya menghadapi kendala keterbatasan kapasitas produksi akibat penggunaan satu unit oven berukuran kecil, sehingga menghambat pemenuhan permintaan konsumen yang terus meningkat. Kegiatan pengabdian ini bertujuan merancang dan menerapkan teknologi tepat guna berupa oven kue berpemanas sirip (finned heating) berbahan bakar gas bernama Oven FINICK (Finned & Quick) untuk meningkatkan produktivitas produksi mitra. Metode pelaksanaan meliputi identifikasi masalah, analisis SWOT, penggalian voice of customer melalui kuesioner, penerapan Quality Function Deployment (QFD) dan House of Quality (HOQ), analisis antropometri untuk aspek ergonomi, perancangan dan fabrikasi alat, serta pengujian kinerja menggunakan metode Objective Matrix (OMAX). Hasil kegiatan menunjukkan bahwa Oven FINICK mampu menampung kapasitas hingga 20 kg per proses pemanggangan, dengan suhu stabil pada kisaran 90°C, waktu pemanggangan rata-rata 25 menit, dan tingkat kecacatan produk hanya 3%. Pengujian bersama mitra menunjukkan peningkatan kepuasan pengguna dari cukup puas menjadi sangat puas dibandingkan oven sebelumnya. Analisis finansial menunjukkan investasi awal sebesar Rp2.690.000 dapat kembali dalam waktu sekitar 23 bulan. Kegiatan ini terbukti mampu meningkatkan efisiensi energi, stabilitas suhu, dan kapasitas produksi UMKM mitra secara signifikan.
Co-Authors , LISTYANINGSIH . Suwarsito A.A. Ketut Agung Cahyawan W Abdul Hafidz Abdul Hamid Achmad Afandy Adelia Azzahra Adi Winarno Afrista, Sitta Mega Ageng Brahmadhi Agus Ridwan Misbahuddin Alarsy, Alarsy Alexander Indra Putra Hartawan Ambar Mudigdo Anggalih , Nanda Nini Antonius Cahyono Antonius Cahyono Arieviana Ayu Laksmi Asidigisianti Surya Patria Asidigisianti Surya Patria Aulia Rahmayanti Baihaqi Baihaqi 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 Djoko Adi Walujo Dwi Arman Prasetya Ekasriadi, Ida Ayu Agung Erna Nur Yuli Ana Esti Sarjanti Eva Rosita 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 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 Mochammad Abdul Machfud Mohammad Afrizal Miradji Mohammad Rivo Firgiawan Muhamad Abdul Jumali Muhammad Dwi Hendra Yudha Muhammad Risfan Ramadhani Muhammad Setyo Ferdhiansyah Muhtarom Mujib Mujib, Mujib Mulyana, Phonny Aditiawan Murahartawaty Murahartawaty nanda, famela berry Ni Putu Premierita Haryanti Ni Wayan Sukmawati Puspitadewi Noerchoidah Noerchoidah Nova Kristiana NOVA KRISTIANA Olievia Prabandini Mulyana Olievia Prabandini Mulyana, Olievia Prabandini Panjaitan, Nismah Patria Winahyu Binantoro 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 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 Warih Handayaningrum Wildan Surya Wijaya Yitno Utomo Yulianto , Muhammad Teguh Yundari, Yundari Yusniah Anggraini, Yusniah Yusuf Suryana Zakaria, Muhammad Zulvan