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Journal : ComEngApp : Computer Engineering and Applications Journal

Parking System Optimization Based on IoT using Face and Vehicle Plat Recognition via Amazon Web Service and ESP-32 CAM Ilham Firman Ashari
Computer Engineering and Applications Journal Vol 11 No 2 (2022)
Publisher : Universitas Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (864.157 KB) | DOI: 10.18495/comengapp.v11i2.409

Abstract

Today's technology has developed rapidly. One application of technology is in the parking lot. Most parking lots in Indonesia can already recognize the vehicle plate image, but it is hoped that it can be even better by applying Internet of Things (IoT) technology that is integrated with facial recognition images. One of the parking problems is in the parking lot at the Sumatran Institute of Technology, where checking is still done manually by security officers. This of course will take time and the level of security is also not good, because when you enter there is no checking. Checks are only carried out at the time of exit and the officer who checks is not necessarily the same and memorized as the owner of the vehicle. The addition of this facial image recognition feature is expected to increase the security of the parking system. Facial image recognition can be assisted by Cloud services from Amazon Image Recognition. With this service, no training data is required. The system developed is only a prototype. The developed parking system can recognize facial images and vehicle license plates with 2 cameras using the ESP32-Cam when entering and exiting the parking lot. The use of the ESP32-cam can recognize facial images both during the day and at night. The results obtained by the system can work effectively with an increase of 21 %.
Analysis and Implementation of Augmented Reality Using Markerless and A-Star Algorithm (Case Study: Gedung Kuliah Umum ITERA) Ilham Firman Ashari
Computer Engineering and Applications Journal Vol 11 No 3 (2022)
Publisher : Universitas Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (923.286 KB) | DOI: 10.18495/comengapp.v11i3.414

Abstract

Institut Teknologi Sumatera is a public university in the province of Lampung. Institut Teknologi Sumatera (ITERA) has many buildings, including Gedung Kuliah Umum (GKU). GKU is the largest and widest lecture building in ITERA. GKU has four floors, where each floor has many rooms in it with different functions in each room. As the largest building in ITERA, GKU is often used for various events, including CPNS exams, new student admissions, or for visits from other campuses. Due to the size of this building, this allows visitors from outside ITERA to GKU to experience problems in terms of time to ask questions and difficulty finding various spaces in the GKU Building. This research uses Augmented Reality technology to help make it easier for visitors from outside ITERA to find space quickly and precisely. In its development using several tools, including the ARWaKit SDK. This framework is used on devices with the IoS operating system. In its implementation, it requires a camera on a smartphone to capture existing images and convert them into cyberspace. In the ARWayKit framework, Azure Spatial Anchors have been used which can be used to carry out the mapping process as a markerless method and to optimize the distance from the user's position to the destination location, the a-star algorithm is used. The results obtained from the Variation-2 test were 91.6%.
Analysis and Implementation of Blowfish and LSB Algorithm on RGB Images using SHA-512 Ilham Firman Ashari; Mugi Praseptiawan
Computer Engineering and Applications Journal Vol 13 No 1 (2024)
Publisher : Universitas Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18495/comengapp.v13i1.450

Abstract

The growth of the internet globally keeps increasing as time goes. There's a big amount of data type saved there too. Those data need to be secured so anyone who doesn't have the right to access them can access it. The purpose of this article is to secure text information into image media using the Blowfish method for encrypting text information and securing it using the Hash function SHA-512 and then embedded it in image media using the Least Significant Bit (LSB) method. The result of implementing those methods using image media sized 138Kb and 39.85Kb with plaintext measuring 27 and 85 characters shows that integrity data is secured with SHA-512 method. The test result using PSNR method to get the score of image quality after embedding information to the image shows that the average number of PSNR’s score is 70,74 dB which means the quality is good and has less difference from the original image.
Parking System Optimization Based on IoT using Face and Vehicle Plat Recognition via Amazon Web Service and ESP-32 CAM (Case Study: Institut Teknologi Sumatera) Ashari, Ilham Firman; Satria, Mahesa Darma; Idris, Mohamad
Computer Engineering and Applications Journal (ComEngApp) Vol. 11 No. 2 (2022)
Publisher : Universitas Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Today's technology has developed rapidly. One application of technology is in the parking lot. Most parking lots in Indonesia can already recognize the vehicle plate image, but it is hoped that it can be even better by applying Internet of Things (IoT) technology that is integrated with facial recognition images. One of the parking problems is in the parking lot at the Sumatran Institute of Technology, where checking is still done manually by security officers. This of course will take time and the level of security is also not good, because when you enter there is no checking. Checks are only carried out at the time of exit and the officer who checks is not necessarily the same and memorized as the owner of the vehicle. The addition of this facial image recognition feature is expected to increase the security of the parking system. Facial image recognition can be assisted by Cloud services from Amazon Image Recognition. With this service, no training data is required. The system developed is only a prototype. The developed parking system can recognize facial images and vehicle license plates with 2 cameras using the ESP32-Cam when entering and exiting the parking lot. The use of the ESP32-cam can recognize facial images both during the day and at night. The results obtained by the system can work effectively with an increase of 21%.
Analysis and Implementation of Augmented Reality Using Markerless and A-Star Algorithm (Case Study: Gedung Kuliah Umum ITERA) Ashari, Ilham Firman; Majesty, Achmad Bany
Computer Engineering and Applications Journal (ComEngApp) Vol. 11 No. 3 (2022)
Publisher : Universitas Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Institut Teknologi Sumatera is a public university in the province of Lampung. Institut Teknologi Sumatera (ITERA) has many buildings, including Gedung Kuliah Umum (GKU). GKU is the largest and widest lecture building in ITERA. GKU has four floors, where each floor has many rooms in it with different functions in each room. As the largest building in ITERA, GKU is often used for various events, including CPNS exams, new student admissions, or for visits from other campuses. Due to the size of this building, this allows visitors from outside ITERA to GKU to experience problems in terms of time to ask questions and difficulty finding various spaces in the GKU Building. This research uses Augmented Reality technology to help make it easier for visitors from outside ITERA to find space quickly and precisely. In its development using several tools, including the ARWaKit SDK. This framework is used on devices with the IoS operating system. In its implementation, it requires a camera on a smartphone to capture existing images and convert them into cyberspace. In the ARWayKit framework, Azure Spatial Anchors have been used which can be used to carry out the mapping process as a markerless method and to optimize the distance from the user's position to the destination location, the a-star algorithm is used. The results obtained from the Variation-2 test were 91.6%.
Analysis and Implementation of Blowfish and LSB Algorithm on RGB Images using SHA-512 Ashari, Ilham Firman; Praseptiawan, Mugi; Baraku, Randi; Filiana, Edinia Rosa
Computer Engineering and Applications Journal (ComEngApp) Vol. 13 No. 1 (2024)
Publisher : Universitas Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The growth of the internet globally keeps increasing as time goes. There's a big amount of data type saved there too. Those data need to be secured so anyone who doesn't have the right to access them can access it. The purpose of this article is to secure text information into image media using the Blowfish method for encrypting text information and securing it using the Hash function SHA-512 and then embedded it in image media using the Least Significant Bit (LSB) method. The result of implementing those methods using image media sized 138Kb and 39.85Kb with plaintext measuring 27 and 85 characters shows that integrity data is secured with SHA-512 method. The test result using PSNR method to get the score of image quality after embedding information to the image shows that the average number of PSNR’s score is 70,74 dB which means the quality is good and has less difference from the original image.
Co-Authors Achmad Syafriyal Adinda Sekar Tanjung Adrian Putradinata, Gusti Made Afriansyah, Aidil Agustine, Verlina Ahmad Auzan Varian Syahputra Aidil Afriansya Aidil Afriasnyah Ajrina, Fadiah Izzah Akbar, Alvijar Algifari, Muhammad Habib Alkarkhi, Makruf Anastasia Puteri Dewi Andhika Wibawa Bhagaskara Andika Setiawa Andika Setiawan Andre Febrianto Andrianto, Dodi Devrian Ardhi, Alief Moehamad Ardi Gaya Manalu Arimbi Ayuningtyas Arre Pangestu Aryani, Annisa Jufe Azwarman Azwarman Baraku, Randi Clinton, Martin Daniel Rinald Dede Rodhatul Farida Dita Alviuni P Dwi Nugroho, Eko Eka Nur'azmi Yunira Eko Dwi Nugroho Eko Dwi Nugroho Eko Dwi Nugroho Fadhillah A Fikri Halim Ch Filiana, Edinia Rosa Fil’aini, Raizummi Gunawan, Rayhan Fatih Hendri Tri Putra Idris, Mohamad Jaya Megelar Cakrawarty Laisya, Nashwa Putri Leonard Rizta Anugrah P Liwardana, Ridho Londata, Hafizh M. Daffa M. Fazar Zuhdi Majesty, Achmad Bany Marbun, Rustian Afencius Mastuti Widianingsih, Mastuti Muhammad Abdul Mubdi Bindar Muhammad Affandi Muhammad Afif H Muhammad Alfarizi Muhammad Najie K Muhammad Rizky Hikmatullah Muhammad Telaga Nur Muhammad Tyaz Gagaman Muhammad Yusuf Nashrullah, Muhammad Nazla Andintya W Nela Agustin Kurnianingsih Novri Yanda, Ilham Nur'azmi, Eka Nurhayati, Misfallah Nuril Humaya Perdana Raga Winata Praseptiawan, Mugi Prasetyawan, Purwono Radhinka Bagaskara Rahmat Setiawan Raidah Hanifah Raidah Hanifah Revangga, Dwi Arthur Ringgo Galih Sadewo Romantika Banjarnahor Salman Damanhuri Samsu Bahri Satria, Mahesa Darma Sekar A Sianturi, Elsa Elisa Yohana Sicilia Putri Aisyah Sinaga, Nydia Renli Sinaga, Rutlima Siraz Tri Denira Siregar, Abu Bakar Siddiq Sisilia Juli A Siwi, lkhsanudin Raka soleha, Ayu Sophia Nouriska Syamsyarief Baqaruzi Untoro, Meida Cahyo Utoro, Meida Cahyo Vanesa Adhelia Vebriyanto, Mario Verdiana, Miranti Verlina Agustine Vina Oktarina Wicaksono, Ihtiandiko Winda Yulita Yulita, Winda Yunira, Eka Nur'azmi Yusuf, M. Asyroful Nur Maulana