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All Journal International Journal of Evaluation and Research in Education (IJERE) Transmisi: Jurnal Ilmiah Teknik Elektro GEMA TEKNOLOGI Mechatronics, Electrical Power, and Vehicular Technology Perfecting a Video Game with Game Metrics Jurnal Informatika JTERA (Jurnal Teknologi Rekayasa) Prosiding Seminar Nasional Teknoka Techne : Jurnal Ilmiah Elektroteknika Indonesian Journal of Electrical Engineering and Computer Science Jurnal Nasional Teknik Elektro dan Teknologi Informasi Industrial Research Workshop and National Seminar
Noor Cholis Basjaruddin
Politeknik Negeri Bandung
Humanities Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Mechanical Engineering Other

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Journal : Jurnal Nasional Teknik Elektro dan Teknologi Informasi

 1 
Sistem Pengenalan Penggunaan Masker dan Pemantauan Suhu Penumpang Pesawat Menggunakan Sensor Fusion Feni Isdaryani; Noor Cholis Basjaruddin; Aldi Lugina
Jurnal Nasional Teknik Elektro dan Teknologi Informasi Vol 11 No 2: Mei 2022
Publisher : Departemen Teknik Elektro dan Teknologi Informasi, Fakultas Teknik, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1503.82 KB) | DOI: 10.22146/jnteti.v11i2.3835

Abstract

Transportation is currently an unavoidable necessity. However, the COVID-19 pandemic has impacted all lines of industry, including the Indonesian aviation transportation industry. Technology is one of the solutions to deal with these problems. The monitoring system of masked face recognition and body temperature detection for the check-in process of passengers at the airport is aimed to be developed in this research. The contribution of this research is that the system can distinguish the type of face mask used. Therefore, this monitoring system classified only medical masks and N95/KN95 respirator masks as ‘Good Masked’. IP camera and thermal camera are used to identify a masked face and body temperature, respectively. The sensor fusion method was used for decision-making on passengers whether they can be departed or not. The decision was taken based on the measured body temperature, the use of standardized face masks, and the face recognition of the airport passengers. Convolutional neural network (CNN) method was used for face and face mask recognition. The CNN model training was conducted four times according to the four proposed scenarios. The CNN model that has been trained can distinguish a masked face and a face without a mask. The best results were obtained in the fourth scenario with the comparison of the training dataset to the testing dataset was 9:1 and the epoch was 500 times. The basic deep learning model used for face detection was the single shot multibox detector (SSD) using the ResNet-10 architecture. Meanwhile, the CNN method with the MobileNetV2 architecture was used to detect the use of masks. The accuracy of the CNN model for face recognition and mask recognition was 100%. All check-in monitoring and verification process data were displayed on the web application which was built on the localhost.
Sistem Penghindar Tabrakan Frontal Berbasis Logika Fuzzy Noor Cholis Basjaruddin; Kuspriyanto; Didin Saefudin; Ganda Putra
Jurnal Nasional Teknik Elektro dan Teknologi Informasi Vol 5 No 3: Agustus 2016
Publisher : Departemen Teknik Elektro dan Teknologi Informasi, Fakultas Teknik, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1153.069 KB)

Abstract

About 10% of collisions resulting in death is due to frontal collision. Head-on Collision Avoidance System (HCAS) is a device that can prevent a frontal collision by means of braking or evasive. Two ultrasonic sensors are used to monitor the vehicles in front and to the right. Two distances are observed by sensors, then become input for decision making system based on fuzzy logic. This decision-making system output is the vehicle forward, stop, or evasive movement. Simulation result using a remote control car proves that the decision making system designed with fuzzy logic can work with a success rate of over 90%.
Co-Authors Agi Muhammad Ramdani Aldi Lugina Alditama Rachman Arif Rahman Arif Rahman Azis, Virna Apriani Bagenda, Dadan Nurdin Bisma Ferriand Bulan Fatimah Rahmat Danang Aji Pangestu Didin Saefudin Didin Saefudin Didin Saefudin Dimas Mulya Putra Dinda Fatihana Dwi Intan Chairunnisa Edi Rakhman Edi Rakhman Edi Rakhman Elisa Hariyanti FENI ISDARYANI Ganda Putra Gumelar Tambunan Haura Fikriyah Hakimah Herlan Sutisna, Herlan Irfan Maulana Shidik Ivan Yuda Prasetya KUSPRIYANTO Kuspriyanto Kuspriyanto Kuspriyanto Kuspriyanto Mochammad Rizky Lazuardi Muhammad Nauval Shidiq Putra, Ganda Rangga Vega Regi Adriana Saputra Riko Hadiarto Suhendar Suhendar Suhendar Suhendar, Suhendar Supriyadi Supriyadi Supriyadi Supriyadi Suyanto Suyanto Suyanto Suyanto Virna Apriani Azis Vito Eka Pramudhita Susanto Yoga Priyana Yoshiadi Wicaksono Yusup Mulkan