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All Journal Pendas : Jurnah Ilmiah Pendidikan Dasar Proceeding of The International Conferences on Engineering Sciences
Ajeng Atma Kusuma
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Civil Engineering, Building, Construction & Architecture Electrical & Electronics Engineering Engineering Other

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ANALISIS TRADISI PANEN RAYA PASAR TERUSAN DALAM PENGUATAN IDENTITAS BUDAYA LOKAL Wahidya, Wahidya Lestari Ningsih; Risti Kurnia; Ajeng Atma Kusuma; Gempita Damayanti; Mutiara Desma Natalia; Muhammad Angka Pratama; Andre Patoman Simatupang; Kholil Fadli; Hanif Kurniawan; Zainal Abidin; Aditya Widiawan; Destrinelli; Mohammad Komadri
Pendas : Jurnal Ilmiah Pendidikan Dasar Vol. 10 No. 04 (2025): Volume 10 No. 04 Desember 2025
Publisher : Program Studi Pendidikan Guru Sekolah Dasar FKIP Universitas Pasundan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23969/jp.v10i04.36277

Abstract

Tradisi Panen Raya Pasar Terusan di Muara Bulian merupakan warisan budaya agraris yang mengandung nilai religius, sosial, dan estetika yang telah diwariskan secara turun-temurun. Tradisi ini bukan hanya perayaan hasil panen, melainkan juga sarana untuk memperkuat solidaritas sosial, menjaga identitas budaya lokal, serta menjadi media pembelajaran kultural bagi generasi muda. Penelitian ini bertujuan untuk menggali makna filosofis, nilai sosial dalam perayaan Panen Raya. Metode penelitian menggunakan pendekatan kualitatif deskriptif melalui observasi, wawancara, dan dokumentasi, dengan validasi data dilakukan melalui triangulasi. Hasil penelitian menunjukkan bahwa Panen Raya tidak hanya bernilai agraris, tetapi juga memuat simbol doa, syukur, serta harmoni antara manusia, alam, dan Sang Pencipta. Prosesi Mundut dan makan merawang mencerminkan nilai gotong royong, tolong menolong, dan persaudaraan, sedangkan tari Tabur Beras Kunyit berfungsi sebagai simbol spiritual sekaligus pendidikan budaya. Tradisi ini menghadapi tantangan modernisasi, namun tetap relevan sebagai sarana pelestarian budaya lokal. Kesimpulannya, Panen Raya Pasar Terusan menjadi identitas budaya yang harus dilestarikan dan dapat dijadikan model pendidikan berbasis kearifan lokal untuk memperkuat karakter generasi muda.  
Personalize Fashion Design Based on Body Data and Consumer Preferences Using Artificial Intelligence Technology Ajeng Atma Kusuma; Aini Adila Rusydiana; Rizka Nur Aziza; Zahra Syifa Aulia; Nuha Nadhifah
Proceeding of the International Conferences on Engineering Sciences Vol. 3 No. 1 (2026): January : Proceeding of the International Conferences on Engineering Sciences
Publisher : Asosiasi Riset Ilmu Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/iconfes.v3i1.186

Abstract

The development of artificial intelligence technology is a great opportunity for the fashion industry, especially in designers based on personalization and consumer needs. This study aims to examine Midjourney's AI technology in the design personalization process by integrating solid data and consumer style preferences. This research is expected to support the concept of mass customization in the fashion industry and increase the relevance of design to user character. This research uses a mixed method method by combining quantitative data and qualitative data. The research stages include body data collection and style preferences, prompt formulation, data-driven prompt formulation, design generation using Midjourney, design validation by experts and consumers, and integrated data analysis.The results showed that the majority of the designs produced were considered feasible in terms of construction (83%) and in accordance with the character of the consumer's body (75%). The modest and minimalist style categories received the highest personalization scores. The qualitative findings reinforce the quantitative results, showing that consumers feel the fit of the style and proportions of the design with the character of their bodies.The study concludes that Midjourney's AI integration in the fashion design process is able to effectively support design personalization, although it still requires the role of designers in technical refinement. This approach has the potential to be an innovative solution in the development of data-driven fashion design.
Co-Authors Aditya Widiawan Aini Adila Rusydiana Andre Patoman Simatupang Destrinelli Gempita Damayanti HANIF KURNIAWAN Kholil Fadli Mohammad Komadri Muhammad Angka Pratama Mutiara Desma Natalia Nuha Nadhifah Risti Kurnia Rizka Nur Aziza Wahidya, Wahidya Lestari Ningsih Zahra Syifa Aulia Zainal Abidin