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Neural Style Transfer and Clothes Segmentation for Creating New Batik Patterns on Clothing Design Adali, Farhan; Agus Subhan Akbar; Danang Mahendra
Scientific Journal of Informatics Vol. 12 No. 1: February 2025
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/sji.v12i1.19554

Abstract

Purpose: Applying the original batik image style to other object images and generating new batik patterns that applied to clothing. Methods: This research uses the Neural Style Transfer method to apply object images to batik to produce new batik patterns, and Clothes Segmentation is used to select areas of clothing in the image so the new batik patterns can be applied to clothing images. And Testing using SSIM, LPIPS and PSNR metrics. This research uses Google Colab, batik image data, and clothing mockup images taken from the internet. Result: This study shows high average results on SSIM, LPIPS and fair results on PSNR. The results show that the similarity is relatively high with high detected noise. Novelty: This research develops a new approach in the field of batik pattern innovation and its application to clothing design images. The novelty of this research lies in the implementation of Neural Style Transfer and Clothes Segmentation, which results in a method of exploring new batik patterns and applying them to clothing design images.
QnA Chatbot with Mistral 7B and RAG method: Traffic Law Case Study Muhammad Roiful Anam; Agus Subhan Akbar; Heru Saputro
Lontar Komputer : Jurnal Ilmiah Teknologi Informasi Vol. 15 No. 03 (2024): Vol. 15, No. 03 December (2024)
Publisher : Institute for Research and Community Services, Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/LKJITI.2024.v15.i03.p06

Abstract

Mistral 7B is a language model designed to achieve high efficiency and performance in handling Natural Language Processing (NLP). This research will evaluate the model's effectiveness in legal data processing using the Retrieval-Augmented Generation (RAG) method, focusing on road traffic and transportation law No 22/2009. The system was built using the LangChain framework, followed by fine-tuning the model and evaluated using BERTScore. Results showed that the fine-tuned Mistral 7B achieved an F1 score of 0.9151, higher than the version without fine-tuning (0.8804) and GPT-4 (0.8364). To improve accuracy, the model utilizes specific keywords that make it easier to find relevant data. Fine-tuning was shown to enhance precision, while the use of key elements in questions helped the model focus more on important information. The results are expected to support the development of artificial intelligence (AI) in Indonesia's legal system and provide practical guidance for applying AI technology in other areas of law.
PENGELOLAAN SAMPAH ORGANIK DAN ANORGANIK DALAM UPAYA PEMBERDAYAAN SANTRI DI PONDOK PESANTREN AL-MUSTAQIM Muhammad Choiru Zulfa; Agus Subhan Akbar; Noor Nailie Azzat
Jurnal Penelitian dan Pengabdian Kepada Masyarakat UNSIQ Vol. 9 No. 2 (2022): May
Publisher : Lembaga Penelitian, Penerbitan dan Pengabdian Masyarakat (LP3M) UNSIQ

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32699/ppkm.v9i2.954

Abstract

Masalah utama yang dihadapi Pondok Pesantren Al Mustaqim adalah kesadaran tentang keberadaan dan dampak yang ditimbulkan akibat pengelolaan sampah yang tidak baik masih rendah dikarenakan masih minimnya pengetahuan dan wawasan tentang sampah dan cara-cara pengelolaannya. Potensi pondok pesantren dengan jumlah santri lebih dari 300 memungkinkan untuk membuat pengelolaan sampah mandiri dan berkelanjutan. Kegiatan pengabdian yang akan dilakukan di Ponpes Al-Mustaqim meliputi pelatihan dalam pengelolaan sampah untuk meningkatkan kesadaran santri dalam memilah dan memilih sampah sesuai dengan jenisnya organik dan non organik. Setelah pemilahan akan diadakan pelatihan pengolahan sampah organik menjadi pupuk organik yang dapat dimanfaatkan untuk menyuburkan tanah dilingkungan pondok pesantren. Sampah non organik berupa bungkus kopi, detergen dan sejenisnya juga dilakukan pengolahan menjadi produk kreatif yang mempunyai nilai ekonomis dan dapat digunakan dalam kegiatan keseharian.