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All Journal ComEngApp : Computer Engineering and Applications Journal Annual Research Seminar Journal of Information Technology and Computer Engineering Jurnal Teknologi Terapan Indonesian Journal of Electrical Engineering and Computer Science Jurnal Generic ABDIKOM
Huda Ubaya
Universitas Sriwijaya
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering Mechanical Engineering

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Journal : ComEngApp : Computer Engineering and Applications Journal

 1 
Design of Prototype Payment Application System With Near Field Communication (NFC) Technology based on Android Huda Ubaya
Computer Engineering and Applications Journal Vol 1 No 1 (2012)
Publisher : Universitas Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (439.65 KB) | DOI: 10.18495/comengapp.v1i1.1

Abstract

Since the late 1990s, people have enjoyed a comfortable lifestyle. Mobile devices supported by the development of wireless networks have spread throughout the world. People can get information, order tickets, download songs and perform commercial transactions, called mobile commerce. Mobile commerce applications become the most popular application for mobile device users who want to do business and financial transactions easily and securely, anytime and anywhere they are. Today the use of physical cash is experiencing a decline in popularity in the business world, because it is being replaced by non-physical payments are often called electronic money (e-money). An important technology behind mobile payments is called Near Field Communication (NFC). As an indication that the NFC has tremendous business potential, leading companies like Nokia, Microsoft, Visa Inc., and MasterCard Worldwide and NXP Semiconductors, is actively engaged on them. Payment processing integrated with NFC technology based mobile operating system that is a trend today is Android that support NFC technology is version 2.3.3 Gingerbread. The prototype application is designed to pay for 2 on the user side of the user as consumer and the merchant side as a trader or seller by using the handset that already have NFC technology is Google Samsung Nexus S. Pay an application prototype also implements the concept of security in e-commerce transactions by using the protocol-to-Tag Tag so that the user needs for security and comfort during the financial transaction are met.
Implementation Color Filtering and Harris Corner Method on Pattern Recognition System Ahmad Zarkasi; Sutarno Sutarno; Huda Ubaya; Muhammad Fajar
Computer Engineering and Applications Journal Vol 6 No 3 (2017)
Publisher : Universitas Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (820.64 KB) | DOI: 10.18495/comengapp.v6i3.219

Abstract

Color recognition and angle detection of underwater objects can be done with the help of underwater robots (ROV) with image processing applications. The processing of the object's image is recognizing various shapes and colors of objects in the water. In this research, the color filtering and Harris corner method will be designed, studied, tested and implemented. The color filtering method is used to recognize object color patterns, while the Harris Corner method is used to detect angles of underwater objects. Then classify images to get data on environmental pattern recognition. The color patterns tested include red, green, yellow and blue. the results obtained are all color patterns can be recognized well. while the shape of the object being tested includes cubes, triangles, rectangles, pentagons, and hexagons. the results of testing some of the shapes can be detected with a good angle and others still have errors. This is because testing the form of objects is done in various positions, such as from the front, right, left, up and below. 
Robot Vision Pattern Recognition of the Eye and Nose Using the Local Binary Pattern Histogram Method Ahmad Zarkasi; Huda Ubaya; Kemahyanto Exaudi; Alif Almuqsit; Osvari Arsalan
Computer Engineering and Applications Journal Vol 12 No 3 (2023)
Publisher : Universitas Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18495/comengapp.v12i3.444

Abstract

The local binary pattern histogram (LBPH) algorithm is a computer technique that can detect a person's face based on information stored in a database (trained model). In this research, the LBPH approach is applied for face recognition combined with the embedded platform on the actuator system. This application will be incorporated into the robot's control and processing center, which consists of a Raspberry Pi and Arduino board. The robot will be equipped with a program that can identify and recognize a human's face based on information from the person's eyes and nose. Based on the results of facial feature identification testing, the eyes were recognized 131 times (87.33%), and the nose 133 times (88.67%) out of 150 image data samples. From the test results, an accuracy rate of 88%, the partition rate of 95.23%, the recall of 30%, the specificity of 99%, and the F1-Score of 57.5% were obtained.
Co-Authors Aditya Putra Perdana Prasetyo Agung Juli Anda Ahmad Rifai Ahmad Zarkasi Alif Almuqsit Bambang Tutuko Bhakti Yudho Suprapto Borisman Richardson Buchari, Muhammad Ali Dedy Kurniawan Denny Wahyudi Marzuk Deris Stiawan Dian Oktavian Dinda Yunafril Dita Zhapira Dwi Rosa Indah Eka Fasilah Ermatita - Fachrudin Abdau Firdaus Firdaus Jefriansyah Jefriansyah Kemahyanto Exaudi Labiq Al Hanif Muhammad Fajar Nabillah Selva Setiawan Nabillah Syafitri Osvari Arsalan Pingki Pingki Purwita Sari Rahmad Fadli Isnanto Rahmat Fadli Isnanto Rido Zulfahmi Riki Afriansyah Rossi Passarella Roswitha Yemima Tiur Mediswati Sarmayanta Sembiring Siska Putri Utami Siti Nurmaini Sri Desy Siswanti Sri Desy Siswati Sukemi Sukemi Sutarno Sutarno Sutrimo Sutrimo Wulandari Nurul Aini