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All Journal Scientific Journal of Informatics Register: Jurnal Ilmiah Teknologi Sistem Informasi KLIK (Kumpulan jurnaL Ilmu Komputer) (e-Journal) Jurnal Komputasi Indonesian Journal of Artificial Intelligence and Data Mining InComTech: Jurnal Telekomunikasi dan Komputer JOURNAL OF APPLIED INFORMATICS AND COMPUTING Jurnal Teknoinfo Indonesian Journal of Social and Environmental Issues (IJSEI) Journal of Empowerment Community Jurnal Pengabdian Kepada Masyarakat (JPKM) Tabikpun Jurnal FASILKOM (teknologi inFormASi dan ILmu KOMputer) Journal of Soft Computing Exploration Jurnal Pepadun Malcom: Indonesian Journal of Machine Learning and Computer Science JuTISI (Jurnal Teknik Informatika dan Sistem Informasi)
Andrian, Rico
Ilmu Komputer FMIPA Unila
Agriculture, Biological Sciences & Forestry Humanities Chemical Engineering, Chemistry & Bioengineering Chemistry Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Law, Crime, Criminology & Criminal Justice Social Sciences

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Journal : Scientific Journal of Informatics

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Performance Comparison Between LeNet And MobileNet In Convolutional Neural Network for Lampung Batik Image Identification Andrian, Rico; Herwanto, Hans Christian; Taufik, Rahman; Kurniawan, Didik
Scientific Journal of Informatics Vol 11, No 1 (2024): February 2024
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/sji.v11i1.49451

Abstract

Purpose: The rich cultural heritage of Indonesia includes the intricate art of batik, which varies across regions with unique patterns and motifs. This study focuses on Lampung batik, a distinctive type of batik, representing Lampung Province, Indonesia. Leveraging Convolutional Neural Network (CNN) architectures, namely LeNet-5 and MobileNet, the research compares their effectiveness in recognizing and classifying Lampung batik motifs. Data augmentation techniques, including rotation, brightness, and zoom, were employed to enhance the dataset and improve model performance.Methods: The study collected 500 Lampung batik images categorized into 10 classes which were then augmented and divided into training, validation, and testing sets. The model was created using a Deep Learning approach, LeNet And MobileNet. Both models were trained using identical hyperparameters and evaluated based on their accuracy in classifying Lampung batik motifs.Results: The results demonstrate an accuracy of 99.33% for LeNet-5 and 98.00% for MobileNet, outperforming previous studies. LeNet-5, particularly with augmentation, exhibited superior precision and recall in classifying Lampung batik motifs. This research underscores the efficacy of CNN architectures, coupled with data augmentation techniques, in accurately identifying intricate cultural artifacts like Lampung batik.Novelty: The Dharmagita learning model using a mobile application is a new model that has not existed before.
Co-Authors . Wamiliana Adi Pribadi, Raden Irwan Admi Syarif Admi Syarif Agatha Beny Himawan Ahmad Adi Wijaya, Ahmad Adi Akmal Junaidi Alkhadafi Saddam Simparico Ananto Danu Prasetyo Andikha Yunar Cornelius Dabukke Andriyan Hutomo Ardiansyah Ardiansyah Aristoteles, Aristoteles Astria Hijriani Astria Hijriani Astria Hijriani, Astria Asyidiqi, Abdilah Ayu Taqiya Ulfa Basir Efendi Dedy Hermawan Dedy Miswar Destian ade anggi Sukma Dian Riskiyana Didik Kurniawan Dwi Sakethi Dwi Sakethi Dwi Sakethi Dwi Sakethi Eka Fitri Jayanti Eko Septiawan Favorisen R. Lumbanraja Febi Eka Febriansyah Flaurensia Riahta Tarigan Florencia Irena Gandadipoera, Faishal Hariz Makaarim Heningtyas, Yunda Hernani, Livia Ayu Istoria Herwanto, Hans Christian Igo Febrianto Indrianti Indrianti Irawati, Anie Rose Ismail Indra Pratama Jannati Asri Safitri Kristina Ademariana Kurnia Muludi Larasati, Novi Yunita Lisa Suarni Lona Ertina M. Juandhika Rizky Machudor Yusman Maharani, Devi Malik Abdul Azis Malik Abdul Aziz Meizano Ardhi Muhammad Muhammad Chairuddin Muhammad Iqbal Muhammad Iqbal Muhammad, Meizano Ardhi Muhaqiqin Muhaqiqin Novita Dwilestari Octarina, Nur Ayu Prabowo, Rizky Prabowo, Rizky Pradana Marlando Qonitati Qonitati RA Dina Nia Pratiwi Raden Irwan Adi Pribadi Rahman Taufik Rahmat Safe'i Reda Meiningtiyas Rika Ningtias Azhari S Susiyani Safitri, Jannati Asri Saipul Anwar Saipul Anwar Sari, Dini Ratna Sholehurrohman, Ridho Slamet Budi Yuwono Sriatna, Diah Adi Sunita Agustina TANJUNG, AKBAR RISMAWAN Taufik, Rahman Tri Maryono Tristiyanto Tristiyanto Utami, Noera Yudhiarti Verina, Vira Wamiliana Wamiliana Wartariyus Wartariyus Zuhri Nopriyanto