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All Journal IAES International Journal of Artificial Intelligence (IJ-AI) Bulletin of Electrical Engineering and Informatics Jurnal Ilmiah Teknik Elektro Komputer dan Informatika (JITEKI) Jurnal Teknologi International Journal of Artificial Intelligence Research JURNAL MEDIA INFORMATIKA BUDIDARMA Applied Information System and Management Progresif: Jurnal Ilmiah Komputer Techno Xplore : Jurnal Ilmu Komputer dan Teknologi Informasi Generation Journal Jurnal Asiimetrik: Jurnal Ilmiah Rekayasa Dan Inovasi Jurnal Tekinkom (Teknik Informasi dan Komputer) JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) Jurnal Sistem Komputer dan Informatika (JSON) Bulletin of Computer Science Research Scientific Student Journal for Information, Technology and Science Jurnal Buana Pengabdian Malcom: Indonesian Journal of Machine Learning and Computer Science Jurnal Pengabdian Masyarakat Nasional Jurnal Polimesin Inovasi Gagasan Abdimas & Kuliah Kerja Nyata Jurnal Abdimas Mahakam
Ahmad Fauzi
Universitas Buana Perjuangan Karawang
Religion Automotive Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mechanical Engineering Medicine & Pharmacology Public Health Other

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Journal : generation journal

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Classification Of Cirebon Typical Batik Motifs Using The Convolutional Neural Network (CNN) Algorithm Firmansyah Maulana; Ahmad Fauzi; Yusuf Eka Wicaksana
Generation Journal Vol 10 No 2 (2026): Generation Journal
Publisher : Universitas Nusantara PGRI Kediri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29407/gj.v10i2.28290

Abstract

The visual identification of traditional Cirebon batik motifs frequently relies on subjective observation, leading to inconsistent recognition results. To resolve this issue, this study implements a Convolutional Neural Network (CNN) with a four-layer convolutional architecture as an automated classification system. The dataset used in this research contains 1,492 images of Cirebon batik motifs, which are partitioned into a scheme of 80% for training and 20% for validation. Data augmentation is applied during the preprocessing phase to improve the variety and quality of the information processed by the model. The results show that the CNN model achieves an overall accuracy of 92%. Furthermore, the Area Under the Curve (AUC) values ranging from 0.98 to 1.00 confirm the model's strong capability in distinguishing between different motif classes, even though minor challenges persist in identifying motifs with high visual similarities, such as Singa Barong and Paksi Naga Liman.  
Co-Authors Ade Suhara Adi Rizky Pratama Adie Putra Afif Hakim Agung Rahmat Ahmad Rahman Amelia Pratiwi Amri Abdulah Ananda Faizah Anggie Wiyani Putri Anis Fitri Nur Masruriyah Anis Fitri Nurmasruriyah Anwar Ilmar Ramadhan April Hananto April Lia Hananto Ardi Apriansyah Arphilia Nur Rani Aviv Yuniar Rahman Ayu Ratna Juwita Ayu Sri Rahayu Baihaqi, Kiki Ahmad Bambang Sukowo Bayu Kerta Sukma Gandara Candra Zonyfar Candra Zonyfar Deden Wahiddin Dedi Mulyadi Destanto Muhamad Yusuf Dodi Mulyadi Dwi Kusumaningrum Dwi Sulistya Kusumaningrum Dwi Sulistya Kusumaningrum Dwi Tian Tonara Euis Nurlaelasari Farhan Muhammad Fadillah Firmansyah Maulana Fitria Nurapriani Haerul Yuda Aditiya Hananto, Agustia Hanny Hikmayanti Handayani Hilda Yulia Novita Hilda Yulia Novita Iflan Naufal Ilham Dwi Ischan Indra, Jamaludin Indri Rahmawati Intan Murni Pratiwi Irfan Irma Putri Rahayu Khoirudin Khoirudin Khoirudin Lestari, Santi Arum Puspita Maharina Maharina Mohamad Rizkiyanto Mudzakir, Tohirin Al Muhammad Ansari Adista Murtalim Nana Rahdiana Natasya Eka Nanda Sonia Puri Naufal Zubdi Ahnaf Novalia, Elfina Nunung Nurjanah Prasetyo Ajie Priyatna, Bayu Rahmat Rahmat Randy Kurniadi Rendy Alfa Rizky Ricko Valderama Ridwan Maulana Rini Beatrix Laurentzia Saruni Dwiasnati Savina Savina Shofa Shofiah Hilabi Sihabudin Sihabidin Siregar, Amril Mutoi Sony Hartono Wijaya Sriyanto Sriyanto Sukarman Sukarman Sukmawati, Cici Emilia Sumanto Sutan Faisal Sutan Faisal Sutan Faisal Tjong Wan Sen Toif Muhayat Tukino Tukino Tukino Wildan Gusty Sakhril Amin Yana Cahyana Yana Cahyana Yudo Devianto Yusuf Eka Wicaksana Yusuf Khoiruddin