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All Journal IAES International Journal of Artificial Intelligence (IJ-AI) Jurnal Ilmu Lingkungan Kopasta: Jurnal Program Studi Bimbingan Konseling Sinkron : Jurnal dan Penelitian Teknik Informatika Jurnal Kesehatan Komunitas JOURNAL OF APPLIED INFORMATICS AND COMPUTING PROCESSOR Jurnal Ilmiah Sistem Informasi, Teknologi Informasi dan Sistem Komputer Computer Based Information System Journal JURIKOM (Jurnal Riset Komputer) Jurdimas (Jurnal Pengabdian Kepada Masyarakat) Royal JIK- JURNAL ILMU KESEHATAN Journal of Education, Humaniora and Social Sciences (JEHSS) Building of Informatics, Technology and Science Surya Medika: Jurnal Ilmiah Ilmu Keperawatan dan Ilmu Kesehatan Masyarakat Jurnal Ilmiah Keperawatan Imelda KAIBON ABHINAYA : JURNAL PENGABDIAN MASYARAKAT Prosiding National Conference for Community Service Project Abdimas Galuh: Jurnal Pengabdian Kepada Masyarakat Jurnal Teknik Informatika (JUTIF) Jurnal Kesehatan Tambusai Jurnal Pengabdian Kesehatan Komunitas (Journal Of Community Health Service) Journal of Indonesian Management Jurnal Puan Indonesia Journal of Education Technology Information Social Sciences and Health Student Scientific Creativity Journal Indonesian Research Journal on Education Jurnal Desain dan Analisis Teknologi Jurnal Keperawatan Innovative: Journal Of Social Science Research Jurnal Ilmu Kedokteran dan Kesehatan Indonesia Jurnal Ilmiah Manajemen Informasi dan Komunikasi JUKEJ: Jurnal Kesehatan Jompa Jurnal Magistra Jurnal Keperawatan Profesional Polygon: Jurnal Ilmu Komputer dan Ilmu Pengetahuan Alam Jurnal Kemitraan Masyarakat Masyarakat Mandiri: Jurnal Pengabdian Dan Pembangunan Lokal Computer & Science Industrial Engineering Journal Prosiding Seminar Nasional Ilmu Sosial dan Teknologi (SNISTEK) Green Engineering: Journal of Engineering and Applied Science Jurnal Ilmu Kedokteran dan Kesehatan Indonesia
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Journal : IAES International Journal of Artificial Intelligence (IJ-AI)

Hand gesture-based automatic door security system using squeeze and excitation residual networks Prihanto, Surya; Effendy, Nazrul; Nopriadi, Nopriadi
IAES International Journal of Artificial Intelligence (IJ-AI) Vol 13, No 2: June 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijai.v13.i2.pp1619-1624

Abstract

Viruses can be transmitted in various ways; one spreads through airborne droplets or the touch of multiple objects. This can occur in any area, including the entrance to the house or access to a room or deposit box. The spread of viruses that cause diseases like COVID-19 has caused many human casualties, and there is still the possibility of similar conditions appearing in the future. Several things need to be done to reduce the chances of spreading disease due to viruses, including developing contactless security support methods. This paper proposes a security system using hand gesture recognition using squeeze and excitation residual networks (SE-ResNet). This research offers a hand gesture recognition system for an automatic door system using SE-ResNet and the residual network (ResNet).
A design of a brain tumor classifier of magnetic resonance imaging images using ResNet101V2 with hyperparameter tuning Maulana Zein, Rhendiya; Effendy, Nazrul; Basuki, Endro; Nopriadi, Nopriadi
IAES International Journal of Artificial Intelligence (IJ-AI) Vol 13, No 3: September 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijai.v13.i3.pp3141-3146

Abstract

Brain tumors are a disease that is quite dangerous and requires severe treatment. One thing that is quite important is the process of diagnosing the brain tumor. This diagnosis process requires intense attention, and differences in interpretation may arise. Machine learning has been used in several fields, including disease diagnosis. This paper proposes an intelligent diagnostic tool for brain tumors using ResNet101v2. ResNet101V2 is used to classify meningioma, glioma, pituitary, and normal from magnetic resonance imaging (MRI) images. This research includes data collection, data preprocessing, ResNet101v2 design and evaluation. We investigate three models of ResNet101v2 for brain tumor classification. The best model achieves an accuracy of 96.2%.
Co-Authors Afifah, Wardah Agrina, Agrina Al Mujahid, Abdaur Rusdi Alvendo Wahyu Aranski Amir, Yufitriana Amrizal Amrizal Amrizal Amrizal Ananda, Tiara Annisa Annisa Aqila, Jihan Azzahra Nasha Aras Mulyadi Arianto, Tomi Arnomo, Sasa Ani Arum Marwati Asra, Zahra ASRIL ASRIL aziz, ari rahmat Azwanti, Nurul Br Munthe, Cristina Lasmaria Damanik, Senna Rohdelima Danuri Danuri, Danuri Dedi Kurniawan Dennis, Nigel Dhety Chusumastuti Didi Kurniawan Dilaruri, Ade Dinda Bucira Almaa Efvy Zamidra Zam Elisa, Erlin Ellbert Hutabri Endro Basuki Faisal Faisal Fajrin, Alfannisa Annurrullah Fazira, Shella Febriana - Sabrian ferdinan, fander Ginting, Asher Azriel Harman, Rika Hellena Deli Herfianti, Meiffa Herlina Herlina Herly Dwiyanto, Herly Dwiyanto Hernita, Rifa Hidayat, Rahmat Rian Ikhsyan, Muhammad Nur Kelvin Korino, Korino Leonita, Emy Leonita, Emy leonita Lumbantobing, Harjono Malau, Yohanes Gervasius Vandher Yovi Maulana Zein, Rhendiya Mega Rahmawati, Mega MOHD. Bintan Kurnia Putra Mualimin MUHAMMAD RIZAL Mukhlas_Ikhsanudin Murshal Firdany Narado, Jefli Randy Nazrul Effendy Novrian, Willi Nurhayati , Nurhayati Nuri, Nuri Hidayati Nurlisis, Nurlisis Ophilia Lindy Agrecia Prahiba, Tisna Prihanto, Surya Putra, Yusran Panca Putri, Rahmayuni Rahmah, Septia Pristi Rahmat Fauzi Rahmat Fauzi Rahmat Hakim Al Munawar, Alief Rahmedani Putri, Shindi Ramadhani, Sucy Reni Zulfitri Riswanto Subandi, M Andrea Ritonga, Zabal Rahman Rizka, Yulia Rizki, Sestri Novia Rohit Rohit Sarah Astiti S.Kom., M.MT Sari, Niken Yuniar Sarmauli Sarmauli Saut Pintubipar Saragih Sigit Purnomo Sinaga, Doni Yoswardi Sinaga Sintar Nababan Sri Rezeki Stephanie Dwi Guna Susanto, Yudi Wahyu Caesarendra wardiansyah putra Wijaya, Ermy Yulia Yulia Yulia Yulia Yunisman Roni