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All Journal Seminar Nasional Aplikasi Teknologi Informasi (SNATI) Jurnal Simetris Jurnal Simantec Prosiding SNATIKA Vol 01 (2011) Jurnal Teknologi Informasi dan Ilmu Komputer International Journal of Advances in Intelligent Informatics Jurnal IPTEK-KOM (Jurnal Ilmu Pengetahuan dan Teknologi Komunikasi) KLIK (Kumpulan jurnaL Ilmu Komputer) (e-Journal) Journal of Information Technology and Computer Science (JOINTECS) Network Engineering Research Operation [NERO] Jurnal Math Educator Nusantara: Wahana Publikasi Karya Tulis Ilmiah di Bidang Pendidikan Matematika Generation Journal Jurnal ABDINUS : Jurnal Pengabdian Nusantara JATI (Jurnal Mahasiswa Teknik Informatika) JTECS : Jurnal Sistem Telekomunikasi Elektronika Sistem Kontrol Power Sistem dan Komputer International Journal of Robotics and Control Systems Joutica : Journal of Informatic Unisla Digital Transformation Technology (Digitech) Jurnal: International Journal of Engineering and Computer Science Applications (IJECSA) Jurnal Maklumatika Prosiding SEMNAS INOTEK (Seminar Nasional Inovasi Teknologi) NERO (Networking Engineering Research Operation) Jurnal Pengabdian Masyarakat Nusantara JISCOMP (Journal of Information System and Computer)
Resty Wulanningrum
(SINTA ID : 5986827) Prodi Teknik Informatika, Universitas Nusantara PGRI Kediri
Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Mathematics Mechanical Engineering Social Sciences Transportation

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Journal : NERO (Networking Engineering Research Operation)

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Deteksi dan Klasifikasi Kue Tradisional Indonesia Menggunakan YOLOv8 Mustofa, Arin Ayu Silvyani; Wulanningrum, Resty; Sahertian, Julian
NERO (Networking Engineering Research Operation) Vol 10, No 1 (2025): Nero - 2025
Publisher : Jurusan Teknik Informatika Fakultas Teknik Universitas Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/nero.v10i1.30177

Abstract

Indonesian traditional cakes are part of the cultural heritage, characterized by their rich flavors, unique forms, and significant historical value. However, the lack of recognition among younger generations necessitates a new approach to preservation efforts. This study aims to develop an image processing-based detection system for traditional cake types using the YOLOv8 algorithm. The five types of cakes identified in this research are lumpur cake, lapis cake, wingko cake, dadar gulung cake, and putu ayu cake. The image dataset was obtained through a combination of direct image capture and public datasets, and was manually annotated using the Roboflow platform. The model was trained using the PyTorch framework and evaluated based on precision, recall, F1-score, and mean Average Precision (mAP) metrics. Experimental results show that the system achieved an average mAP of 89.9% and an F1-score of 86.5%, with a relatively low classification error rate. These findings indicate that the YOLOv8 algorithm is effective in detecting visually similar objects and holds significant potential for application in the digital preservation of culinary heritage. The system can also be further developed as a technology-based educational medium to support the conservation of Indonesia’s local culinary wealth.Keywords: YOLOv8, Object Detection, Cake Traditional, Image Processing, Computer Vision
Deteksi dan Klasifikasi Kue Tradisional Indonesia Menggunakan YOLOv8 Mustofa, Arin Ayu Silvyani; Wulanningrum, Resty; Sahertian, Julian
NERO (Networking Engineering Research Operation) Vol 10, No 1 (2025): Nero - 2025
Publisher : Jurusan Teknik Informatika Fakultas Teknik Universitas Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/nero.v10i1.30177

Abstract

Indonesian traditional cakes are part of the cultural heritage, characterized by their rich flavors, unique forms, and significant historical value. However, the lack of recognition among younger generations necessitates a new approach to preservation efforts. This study aims to develop an image processing-based detection system for traditional cake types using the YOLOv8 algorithm. The five types of cakes identified in this research are lumpur cake, lapis cake, wingko cake, dadar gulung cake, and putu ayu cake. The image dataset was obtained through a combination of direct image capture and public datasets, and was manually annotated using the Roboflow platform. The model was trained using the PyTorch framework and evaluated based on precision, recall, F1-score, and mean Average Precision (mAP) metrics. Experimental results show that the system achieved an average mAP of 89.9% and an F1-score of 86.5%, with a relatively low classification error rate. These findings indicate that the YOLOv8 algorithm is effective in detecting visually similar objects and holds significant potential for application in the digital preservation of culinary heritage. The system can also be further developed as a technology-based educational medium to support the conservation of Indonesia’s local culinary wealth.Keywords: YOLOv8, Object Detection, Cake Traditional, Image Processing, Computer Vision
Co-Authors Abu Tholib Achmad Iqbal Maulana Aeri Rachmad Ahmad Bagus Setiawan Ahmad Fakhruddin Luthfi Aji Prasetya Wibawa Amanda, Novia Aminuyati Anardha, Danuar Aditya Andrean Ferdyana Vabian Eka Sakti Angel, Gresiva Devi Anggi Nur Fadzila Anik Nur Handayani Aprianto, Kresna Ardi Sanjaya Aristanti, Apriska Ade Arsyad, Nandito Pramudya Asmoro, Shandy Sadewa Asri, Puput Puji Bagus Fadzerie Robby Cholid Ilham Isniawan Chrisnatae, Mayo Alvarosy Dadi Setyawan Danar Putra Pamungkas, Danar Putra Daniel Swanjaya Daniel Swanjaya2 Dewangga, Rio Agung Doni Abdul Fatah Donny Firdani Dusea Widya Dara, Made Ayu Ema Utami Erna Daniati Fadli Hidayat, M Noer Fadli Hidayat, M. Noer Fadli, Abi Ihsan Fadzerie Robby, Bagus Fatkur Rhohman, Fatkur Firmansyah, Muhammad Kukuh FITRIANA, VYRRA Gemini, Shalaisha Amelia Putri Heffi Awang Cahya Heru Suhartono, Wawan Heru Wahyu Herwanto Hidayah, Alvi Nurul Intan Nur Farida Iqbal Jauhari, Nur Mohamad Iqbal Jauhari Iswoyo, Yodhi Pratama Jauhari, Nur Mohamad Iqbal Juli Sulaksono Julian Sahertian Kamilah, Annisa' Nur Karim, Achmad Zainul Kohei Arai Krisnawan, Apreado Gilang Kristantio, Triyo Kurniawan, Afizza Fikri Kurniawan, Dimas Eri Kurniawati, Desi Dwi Ludfie, Miftachul Lusi Dwi Anggraini, Lusi Dwi Made Ayu Dunia Widyadara Mahardhika, Bima Mahdiyah, Umi Maliana, Diah Gusmia Maulian Amroni, Asna Maulian Amroni Mawarni, Reza Millenialdo Yanuar Ilham Moh Imam Yusuf Mustofa Muhaimin, Mohammad Aqil Muhamad Yusup Efendi Muhammad Abdul Aziz Mustofa, Arin Ayu Silvyani Muttaqien, Hidayatul N.S.A, M Mukhlish Nandha Vera Wihra Lelitavistara Nandha Vera Wihra Lelitavistara, Nandha Vera Wihra nata, Pramudya Cipta Panatagama Natasha, Sonya Naufal Muji Dwicahyo Nugraha, Reza Setya Nurul Mahpiroh Patmi Kasih Pratama, Regi Cendika Ramadhani, Gilang Ratih Kumalasari Niswatin Risa Helilintar Risky Aswi R, Risky Rochana, Siti Rohmat Syamsul Huda Roni Heri Irawan Rony Heri Irawan Ruruh Andayani Bekti, Ruruh Andayani Safitri, Karinda Ayu salma - alawiyah Santoso, Christa Witta Putra Saraswati, Indra Lady Sari, Frisca Ayu Fatika Sari, Lya Rosita Sari, Putri Desi Kusuma Setiyawan, Gadang Putro Bagus Sinta Sanora Siregar, Muhammad Fariz Hardiansyah Siti Rochana SRI RAHAYU Supri yono Supri Yono, Supri Susanti, Riska Yuni Syaputri, Rika Wahyu Teguh, Aji Triprasetyo, Anggi Wahyu Ulfatus Syaidah Viana, Ella Okta Wahyu Cahyo Utomo Wijayanto, Muhammad Farid Winandari, Dhela Melani Wulandari, Safira Putri Yosianova, Imam Syahputra Zakaria, Reza Naim