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All Journal IAES International Journal of Artificial Intelligence (IJ-AI) Jurnal Informatika dan Teknik Elektro Terapan Global Medical and Health Communication Jurnal Sains Matematika dan Statistika Jurnal Sains dan Informatika BAREKENG: Jurnal Ilmu Matematika dan Terapan JURNAL PENDIDIKAN TAMBUSAI Journal TEPAT: Teknologi Terapan untuk Pengabdian Masyarakat Jurnal Tarbiyah : Jurnal Ilmiah Kependidikan Jurnal Arajang GERAM (GERAKAN AKTIF MENULIS) Jurnal Keperawatan Dirgahayu (JKD) Dinasti International Journal of Economics, Finance & Accounting (DIJEFA) Tsaqafatuna: Jurnal Ilmu Pendidikan Islam Jurnal Applied Science in Civil Engineering JTEIN: Jurnal Teknik Elektro Indonesia Engineering, Mathematics and Computer Science Journal (EMACS) Jurnal Teknologi Sistem Informasi dan Sistem Komputer TGD Jurnal Arastirma Jurnal Peternakan Lokal Journal of Law, Administration, and Social Science Jurnal Bisnis Mahasiswa Environmental Pollution Journal Idarah Tarbawiyah: Journal of Management in Islamic Education EDUSTUDENT: Jurnal Ilmiah Pendidikan dan Pembelajaran Kandang : Jurnal Peternakan Jurnal Sains Informatika Terapan (JSIT) Jurnal Teknik Mesin Sinergi Journal of Comprehensive Science PENDALAS: Jurnal Penelitian Tindakan Kelas dan Pengabdian Masyarakat Governors Jurnal Keperawatan Universitas Jambi EJOIN : Jurnal Pengabdian Masyarakat Euclid Makkareso : Riset Pengabdian Masyarakat Parameter: Jurnal Matematika, Statistika dan Terapannya Indonesian Journal of Islamic Law (IJIL) AL-UKHWAH Jurnal Kebijakan Pembangunan Daerah (JKPD) Jurnal Keperawatan Universitas Jambi Ekonomipedia: Jurnal Ekonomi Manajemen dan Bisnis Jurnal Pendidikan Progresif Jurnal Sistem Komputer (SISKOM) Jurnal Gladiator Integrasi: Jurnal Studi Islam dan Humaniora
Muhammad Fajar
Halu Oleo University
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Journal : Engineering, Mathematics and Computer Science Journal (EMACS)

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Comparative Study of CNN-based Deep Learning Models for Animal, Digit, and Flower Image Classification Suri, Puti Andam; Setiono, Michael Alvin; Andrew, Andrew; Fajar, Muhammad
Engineering, MAthematics and Computer Science Journal (EMACS) Vol. 7 No. 3 (2025): EMACS (In Press)
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/emacsjournal.v7i3.14317

Abstract

This study explores how four convolutional neural network (CNN) models MobileNetV2, DenseNet121, EfficientNetB0, and InceptionV3 perform in classifying images from three different datasets: animals, handwritten digits (MNIST), and flowers. The main goal is to understand which model offers the best balance between accuracy and efficiency when applied to datasets with varying complexity. Each model was trained and tested using identical preprocessing steps, and its performance was evaluated based on accuracy, precision, recall, and F1-score through a confusion matrix. Training and testing times were also measured to assess computational efficiency. The results show that DenseNet121 consistently achieved the highest accuracy: 98% on animal images and 88% on flower images while MobileNetV2 provided a close performance (97% and 82%) but with much faster processing times, between 11 and 55 minutes. EfficientNetB0, on the other hand, performed poorly on the more complex flower dataset, achieving only 5% accuracy. These findings suggest that DenseNet121 is ideal for projects where accuracy is the main concern, whereas MobileNetV2 is more suitable for real-time applications that require quick responses without a major drop in accuracy. Overall, this research highlights the importance of aligning model selection with both dataset characteristics and computational limitations in practical image classification tasks.
Co-Authors Abdul Husain, Muhammad Abdul Rachman Abdullah, Ramadhani Afriyanti, Desi Ahmad Luviadi Akhiriyanto, Khafid alfira, alfira Andrew Andrew, Andrew Andung Dwi Haryanto Anggraini, Nabila Ardo, Okilanda Arizal Eka Putra Armada, Ari Astuti, Putri Widiya Atmaja, Sigit Tri Azzahra, Bela Barkah, Lia Basorudin, Muhammad Bastoni, Bastoni Burhanurobbi, Irsyad Chairil Ichsan , Andi Clausthaldi, Fadhil Rizki dila, farra Dillena, Kennith G.C. Faizah, NM Fajariyanto, Eko Fauyan, Muchamad Fauziah, Tiara Dilla Fazri AR, M. Rizal Fitri Dian Perwitasari Fitri, Anisa Fratama Putra, Gimel Gunawan, Muhammad Isral Hajriani, Meilisa Halomoan, Abdul Hardi, Rudi Herfia Rhomadhona Herman Nauwir Hermanzoni, Hermanzoni Hidayat, Kurnia Hudatwi, Mu'alimah Irawan, Yeyen Gustina Iriana, Nona ISLAMUL HADI Ismawati Ismawati Isra Thristy IZZAH, NURUL Jannah, Eneng Raudatul Jirana M , Nurul Juli Sardi Juliandra, Galih Juliandri Juliandri Kamil, Muflichan Karo Karo, Panser Kartika, Linda Khairul Anwar Hafizd, Khairul Anwar Khairunnisa, Nanda Kustini, Rini Lubis, Apdi M. Rusydi Alwi M. Shoim Anwar, M. Shoim M. Sholihin M.Rizkal Fajri Manalu, Okto Dewi Sartika Manurung, Wahyudi Mardela, Romi Mardiah Astuti Mariska, Okky Mawansa, Akri Mayang Sari Mu'affan, Muhammad Muhlisin, M Nelvia Iryani Nisa, Nachdiatun Nofirda, Fitri Ayu Noviar, Noviar Nugroho, Anggi Septia Nur Azizah Nur Khaerah, Nur Nurfadly, Nurfadly Nurjannah Nurjannah Nurwandi, Rhefky Al Jihad Nuryaman, Nuryaman OKTARIA, RINA RINA Pangkung, Andreas Parwati, Tri Ayu Pinindriya, Sinung Tirtha Putra, Muhammad Amril Pratama Qawly, Hafiz Iftitah Rachmad, Sri Hartini Rahmadita, Nurmalia Rahmati, Pramita Dwi Ramadhan, Puji Sari Ramadhan, Rian Ramaiyulis, Ramaiyulis Rici, Suchi Avita Rif’iyati, Dian Risma Apdeni Robbani, Hamdan Thufail RR. Ella Evrita Hestiandari Said, Awayundu Salvia Salvia Santoso, Ismawardi Septiana, Elyza Setiono, Michael Alvin Shintarahayu, Balqis Shofariyani, Shobah Siahaan, Muhammad Donni Lesmana Soemaryanto, Arifin Rasyadi Suhaila Husna Samosir Suparintina, Lucie Suri, Puti Andam Suryana, Icha Suryati Suryati Sya'ban, Muhammad Fuad Syahfitri, Dian Syahputra Mahmud, Surya Syahputra, Afit Syahputri, Astri Syarifuddin, T. Syubhan Annur, Syubhan Tanjung, Nanda Umroh Umroh Vira Noviana, Karisma Wibisono, Okki Navarone Wulandari, Meisy Yenita . Yuliana Sari