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All Journal Jurnal Pengabdian UntukMu NegeRI JURTEKSI PengabdianMu: Jurnal Ilmiah Pengabdian kepada Masyarakat MANDAR: Management Development and Applied Research Journal Jurnal FASILKOM (teknologi inFormASi dan ILmu KOMputer) Jurnal Computer Science and Information Technology (CoSciTech) International Journal on Social Science, Economics and Art Daengku: Journal of Humanities and Social Sciences Innovation Jurnal Pendidikan Jasmani Khatulistiwa Sibatik Journal : Jurnal Ilmiah Bidang Sosial, Ekonomi, Budaya, Teknologi, Dan Pendidikan International Journal of Applied Finance and Business Studies Center of Knowledge Jurnal Sistem Informasi dan Teknik Informasi Filantropi: Jurnal Manajemen Zakat dan Wakaf JURNAL PENGABDIAN PENDIDIKAN MASYARAKAT (JPPM) Journal Sport Academy (JSA) ARMADA : Jurnal Penelitian Multidisiplin TAMIKA: Jurnal Tugas Akhir Manajemen Informatika & Komputerisasi Akuntansi Journal of Software Engineering and Information System (SEIS) International Journal of Enterprise Modelling PEDAMAS (Pengabdian Kepada Masyarakat) Jurnal Pengabdian Masyarakat dan Riset Pendidikan Economic: Journal Economic and Business Journal Sport Academy
Rahmad Firdaus
Fakultas Kedokteran Universitas Sumatera Utara
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Convolutional Neural Network dengan Arsitektur InceptionV3 untuk Klasifikasi Citra Makanan Berdasarkan Asal Daerah Jawa dan Sumatera Khasanah, Diva Nayla; Firdaus, Rahmad
Computer Science and Information Technology Vol 7 No 1 (2026): Jurnal Computer Science and Information Technology (CoSciTech)
Publisher : Universitas Muhammadiyah Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37859/coscitech.v7i1.11331

Abstract

This study aims to improve the accuracy of classifying traditional food images based on the regions of Java and Sumatra using the Convolutional Neural Network (CNN) algorithm with the InceptionV3 architecture. Traditional foods from these two regions are often difficult to distinguish due to visual similarities. The dataset consists of 472 food images processed through segmentation, augmentation, and rescaling. The InceptionV3 model was selected for its ability to capture complex visual patterns with high efficiency. The training process employed the Adam optimizer, a learning rate of 0.001, and a 50% dropout regularization technique to prevent overfitting. The model was evaluated using accuracy, precision, recall, and F1-score metrics. The results show that the model achieved an accuracy of 90.42%.precision of 91.07%, recall of 92.72%, and F1-score of 90%, significantly improving compared to previous research, which only achieved an accuracy of 64% using CNN without a specific architecture. This study is expected to contribute to the preservation of local culinary culture and support the promotion of tourism and technology-based culinary industries in Indonesia.
Co-Authors - Afrizal Aditya Ahmad Fauzi Alris Gusnanda Amin, Mat Amran, Hasanatul Fu'adah Anandita, Sevtia Andinata Anton, Anton Kurnia Hadisaputro Arsita, Herlin Bayu Anugerah Putra Br Bangun, Elsi Titasari dedi kurniadi Deseria, Rita Dian Utami Dicky Pratama Edwin Syahada, Levania Ernasari, Desi Fadila, Wahyu Fakhira Frisya Ramadhani Fatma, Yulia Fithriawan Nugroho Fitri Handayani Fitri, Nurkhairi Fu'adah Amran, Hasanatul Gunawan, Rahmad Hamdan Hamdan Hanum Salsabila Harun Mukhtar Hayami, Regiolina Herdiansyah, Sayyid Hermanto Hermanto Indinastin, Indinastin Jihan Aulia Junaidi Abdillah Khasanah, Diva Nayla Kismiadi, Kismiadi Lambas Siregar, Jenni Lara Puspita, Dhea Makrus, Mohammad Marna, Marna Maryani, Cik Mat Amin Mualfah, Desti Muarif, Putri Fadhilla Muhammad Suhairi, Munir Munir, Munir Nana Adriana Nur Hidayati Prihatin, Ananda Putra, Gope Mandala Rafdi, Faris Abi Rajaguguk, Rifaldi Febriansyah Rejeki, Nadia Sri Rian Fauzi Rico Apriandika Rizqy, Riza Rindriani Saliman Saliman Sani Akbar, Jufri Sartika, Cici Septiana Srinandini Soni Sri Rejeki, Nadia Sugianto Suhardi Suhardi Suhardi Suhardi Suhardi Sunanto Sunanto Sunanto Suputra, Adi Sutiono Suwanto, Fredy Syahril Syahril Taufiq, Reny Medikawati Tri Agustin, Tri Wahyudi, Ashari Windari, Ayu Wiyanti S, Lina Yeremia, Deryl Andeya Zidan, Abiyyu Al Thoriq Zumalia Zusyah Porja Daryanto