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All Journal JIK Jurnal Ilmu Komputer JUSIFO : Jurnal Sistem Informasi Sinkron : Jurnal dan Penelitian Teknik Informatika JITK (Jurnal Ilmu Pengetahuan dan Komputer) IKRA-ITH Informatika : Jurnal Komputer dan Informatika Jurnal Sisfokom (Sistem Informasi dan Komputer) JURNAL TEKNOLOGI DAN OPEN SOURCE Astonjadro CCIT (Creative Communication and Innovative Technology) Journal JURNAL Al-AZHAR INDONESIA SERI SAINS DAN TEKNOLOGI Budapest International Research and Critics Institute-Journal (BIRCI-Journal): Humanities and Social Sciences International Journal Of Science, Technology & Management (IJSTM) IAIC Transactions on Sustainable Digital Innovation (ITSDI) Jurnal Sosial dan Teknologi Devotion: Journal of Research and Community Service Multidiciplinary Output Research for Actual and International Issue (Morfai Journal) Jurnal Impresi Indonesia Journal Of World Science International Journal of Islamic Education, Research and Multiculturalism (IJIERM) Jurnal Locus Penelitian dan Pengabdian Jurnal Indonesia Sosial Teknologi Jurnal Indonesia Sosial Sains Journal Research of Social Science, Economics, and Management Eduvest - Journal of Universal Studies Asian Journal of Social and Humanities INOVTEK Polbeng - Seri Informatika
Gerry Firmansyah
Universitas Esa Unggul
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Journal : Astonjadro

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Analysis of Drowsiness Detection based on Images Using Convolutional Neural Network Nasihin, Anwar; Akbar, Habibullah; Firmansyah, Gerry; Tjahjono, Budi
ASTONJADRO Vol. 13 No. 2 (2024): ASTONJADRO
Publisher : Universitas Ibn Khaldun Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32832/astonjadro.v13i2.14888

Abstract

Drowsiness detection is crucial in maintaining the safety and alertness of individuals, especially in high-risk situations such as driving or operating heavy machinery. This research aims to develop a drowsiness detection system based on facial images using Convolutional Neural Network (CNN) with a focus on the AlexNet method and its comparison with ResNet. In this study, facial image data was collected from various conditions of drowsiness and normal conditions. Image preprocessing was performed to standardize the size and ensure consistent image quality. AlexNet and ResNet were implemented and trained using the image dataset to identify distinctive patterns that differentiate drowsy faces from faces in a normal state. The results of the experiments showed that the use of AlexNet and ResNet methods effectively detects drowsiness in facial images with high accuracy. However, there are performance differences between the two methods. ResNet demonstrated superior performance in certain conditions, while AlexNet showed advantages in other cases. This research contributes to the development of facial image-based drowsiness detection technology applicable in various fields, including smart vehicles and security systems. The comparison results between AlexNet and ResNet also provide valuable insights for selecting the most suitable CNN method for drowsiness detection applications based on facial images.
Co-Authors Achmad Randhy Hans Adhi Fernandes Gamaliel Adilah Widiasti Agung Mulyono Widodo Ahmad Mutedi Akbar, Habibullah Alandrian Surya Tantra Alexander Alexander, Alexander Alnino Dio Putera Amelia Sholikhaq Andriana, Dian Andrianto, Eko Andriyanti Asianto Andriyanti Asianto Anisa Aulia Annazma Ghazalba Anwar Solihin, Muhamad Ardiansyah, Miri Arif Pami Setiaji Asianto, Andriyanti Aulia, Anisa Aurel Elviolita Putri Ayu Larasati Azizah, Anik Hanifa Azzam Robbani, Muhammad Bayu Sulistiyanto Ipung Sutejo Bob Tjahjono Budi Aribowo Budi Tjahjono Budi Tjahyono Budi Tjahyono Budi Tjahyono Devi Irawan Dewi, Riris Septiana Sita Dodo, La Dudy Fathan Ali Dwi Nurmawaty Dwi Pamungkas, Eric Dwiaji, Lingga Dwiputra, Dedy Edi Kartawijaya Eric Dwi Pamungkas Farida Farida Fathan Ali, Dudy Fatonah, Nenden Siti Fernandes Gamaliel, Adhi Ghazalba, Annazma Gilang Banuaji Gunawan, Sholeh Gusti Fachman Pramudi Habibullah Akbar Hadi, Muhammad Abdullah Haryoto, Iin Sahuri Hendaryatna Hendaryatna Husni Sastra Mihardja Husni Satra Mihardja Husni Satra Mihardja Intan Setya Palupi Irawan, Devi Irsyadul Anam, Reza Ismiyati Meiharsiwi Kailani Ridwan, M Khairurrahman, Rifqi La Dodo Lingga Dwiaji Lisdiana Lisdiana Lisdiana Lisdiana M Bahrul Ulum, M Bahrul Master Maruahal Sidabutar Maulana, Syaban Meiharsiwi, Ismiyati Mochamad Welly Rosadi Muhammad Azzam Robbani Muhammad Fajrul Aslim Muhammad Hadi Arfian Muhammad Kailani Ridwan Munawar Munawar Muslih, Muhamad Mutedi, Ahmad Narul Sakron Nasihin, Anwar Natadirja, Trenggana Nenden Siti Fatomah Nenden Siti Fatonah Nenden Siti Fatonah Nenden Siti Fatonah Nila Rusiardi Jayanti Nindyo Artha Dewantara Wardhana Nixon Erzed Nugraha, William Nugroho Budhisantosa Pamungkas, Ryan Tri Putra, Sipky Jaya Qiqi Asmara, Abdullah Qornain, Fiqar Haytsam Muhammad Dzul Rachman, Riyandi Patu Rahaman, Mosiur Ramadhan, Noval Rizky Randhy Hans, Achmad Reza Irsyadul Anam Rifqi Khairurrahman Riya Widayanti Riyan Asep Susanto Rizky Yananda Rosnanto, Imam RR. Ella Evrita Hestiandari Rudy Setiawan Sabri Alim Sakron, Narul Sandy, Raynaldi Sea, Rona Aulia Wangsa Setiawati, Popong Sholeh Gunawan Sigit Purworaharjo Siti Fatomah, Nenden Sri Redjeki Sugiyanti, Sri Dewi Suhendar Suhendar, Suhendar Suhendry, Mohammad Roffi Sulistyo, Catur Agus Supardi Supardi Supriyade Supriyade Supriyade, Supriyade Syafika Zalfanissa Dila Tardiana, Arisandi Langgeng Tartila, Gilang Romadhanu Trifina Sartamti Wardhana, Nindyo Artha Dewantara Wibowo, Yudha Widiasti, Adilah Widodo , Agung Mulyo Widodo, Agung Mulyo Widodo, Agung Mulyono Wijaya, Jacob S William Nugraha Yessy Oktafriani Yudha Putra Hadjarati, Panji Ramadhan