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Suriati, Suriati
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Journal : EXPLORER

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Analisis Existing Convolutional Neural Network Untuk Klasifikasi Usia Pengunjung Rumah Sakit: Studi Kasus Pemantauan Anak dan Dewasa Harahap, Herlina; Rahman, Sayuti; Zen, Muhammad; Suriati, Suriati
Explorer Vol 4 No 1 (2024): January 2024
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/explorer.v4i1.881

Abstract

The purpose of this study is to examine the Convolutional Neural Network (CNN) model for classifying the age groups of hospital visits, both children and adults. Hospitals serve as treatment facilities for a variety of ailments caused by viruses, germs, car accidents, and other factors. Children are not permitted to visit the hospital due to hurdles to patient comfort as well as hazards associated with immunity and trauma to children. As a result, a digital strategy is required to monitor the presence of youngsters in the hospital setting. The notion of computer vision and the Convolutional Neural Network (CNN) are employed in this study to attain this goal. The dataset utilized is All-Age-Faces (AAF), which includes photos of human faces ranging in age from 2 to 80 years. To categorize visitors into children or adults, two CNN architectures, ResNet and SqueezeNet, are used with fine-tuning (FT) and full retraining (FR) approaches. The accuracy of FR-ResNet was 97.22%, beating the accuracy of the previous research FT-SqueezeNet, which was 93.09%, better to 4.13%. This study confirmed that the use of CNN, namely the FR-ResNet technique, was effective in accurately categorizing the age of hospital visits. Controlling children's access to hospital areas can help reduce the danger of illness transmission.
Co-Authors Abda Abda Adabi, M. Wasil Adillah, Nur Akbar, Muhammad Aldrin Al Fath, Lukman Al-Farizi, Salman Alawiyah, Desi Amin, Saifuddin Amin Andri Irawan Anis, Muh. Ari Usman, Ari Arief Budiman Asmi, Aulia Ulil Asriadi Asriadi Azzahra, Azizah Chatarina Umbul Wahyuni Cut Asmaul Husna Danil, M. Faisal Danu, M. David David Dharmawati Dharmawati, Dharmawati Diansyah, Tengku Moh DP Telnoni, Junefra Edy Kurniawan, Edy Eli Susanti Estuningtyas, Retna Dwi Evie Palenewen Fahreza, Muhammad Fadli Faisal Rizal Zaenal Fatimahtu Sahra, Siti Fausany, Fitri Firmansyah, Muhammad Arham Fitriana, Liza Haida Dafitri, Haida Handoko, Divi Harahap, Herlina HARMILAWATI Ibrahim, Muhdi B. Hi Iftika, Nur Indrawati, A. Iskandar Iskandar Ismawati Ismawati Jamaluddin Jamaluddin Jannah, Baiq Arihni Rohiatul Jayawarsa, A.A. Ketut Juliwis Kardi K, Sulfikar Kurnilawati, Linda Lestari, Yuyun Dewi Lestari, Yuyun Dwi Liza, Risko M. Iqbal Mari, Mari Mildayanti, Mildayanti Muhammad Hatta Muhammad Zen, Muhammad Mulkiyan, Mulkiyan Muzaina, Nur Mytra, Prima Nabila, Ridha Nabila, Zahiratun Nabir, Abd. Muhaemin Nensia, Nensia Ni'mah, Siar Nur , Makmur Jaya Nur Wulan, Nur Nur, Andi Taufiq Nur, Makmur Jaya Nur, Rahmad Nurbayani Nurbayani Nurfadilla, Nurfadilla Nurqadriani, Nurqadriani Oktaviana, Boni Phitaloka, Tri Indah Prasetia, Andre Pratama, Angga Rusrian Priyowidodo, Stephanus Putera, Andrei Wara Putri, Delinda Auralia Rahman, Sayuti Rahmatullah Rahmatullah Rahmawati, Rahmawati Rahmiati Rahmiati Ramadhan , Fauzan Ramadhan, Fauzan ridwan, hardiyanti Riska Riska Risma Haris Rismaini, Baiq Saharudin Saharudin Sahmiar Pulungan, Sahmiar Saiful Salami Mahmud Samsul Rizal Saniarti, Saniarti Sanusi Sanusi Sari, Ika Sarudin, Sarudin Sausan, Rafiqa Sembiring, Rinawati Silfia, Dwi Azziatus Sri Wahyuni SRY WAHYUNI, SRY Sumi Khairani, Sumi Syahputri, Nenna Irsa Syam, Deby Febrianti Syam, St. Hajrah Syargawir, Syargawir Syarifah, Dzul Himmatus Syukur, Muh. Taufik Rahman Taufiq Nur Tommy, Tommy Trisnawati, Alinda Dewi Umar Umar Ummul Khair Utami, Adeh Ijam Putri Wahid, Zainul Wahyudi, R.Firdaus Warda Warda Williyandi, Rizky Wilson Sihaloho, Roy Yahya, Fizian Yati, Asmita Yendra Yessi Fitri Annisah Lubis Yusuf , Muhammad