System Development of Face Recognition on Android Platform and Optimized Information Provision Service with Server Network for Customs in Optician"s

2014 ◽  
Vol 12 (4) ◽  
Author(s):  
Dae-Il Kim
Keyword(s):  
Face Recognition ◽  
System Development ◽  
Information Provision ◽  
Android Platform

scholarly journals Implementasi Protokol Single Sign On (SSO) Menggunakan Face Recognition

2017 ◽  
Vol 9 (3) ◽  
Author(s):  
Hasan Isfahani ◽  
Dhidik Prastiyanto ◽  
Sugeng Purbawanto
Keyword(s):  
Face Recognition ◽  
Linear System ◽  
Test Performance ◽  
Performance Test ◽  
System Development ◽  
Well Performance ◽  
Additional Function ◽  
Development Models ◽  
Single Sign On ◽  
Efficiency Test

Account is the key of every systems in order to access the system. Nowadays, every people has some different account systems. All of these account must be remembered, so that they could access the system. Facing this issue, the management account devices which is centralized by using Single Sign On (SSO) protocol is needed. This research was using sequential linear system development models. The sequential linear system development through four stages, analysis, design, coding and testing. Some tests were also performed, such as blackbox test, performance test, efficiency, portability, usability, Eigenface alghorithm test, and multi login test. The result of the research were the stages of system development with blackbox test of system functions were running well. Performance test shown the excellence of system performance. Efficiency test has a result above-average GTMetrix. Portability aspect test shown that system could being accessed in three browser. Usability test shown that the process of face verification is going well without any mistakes. Accessing the system by login through some different system implied that multi login system test is successful. The conclusion could be implied from this research is SSO login system could simplify the management account for administrators and users. SSO login system needs to be applied by using face authentication recognition. Some advices for further system development are the  additional function of encryption and the establishment of dedicated server for Face Recognition

scholarly journals IMPLEMENTASI ALGORITMA FISHER YATES UNTUK PENGACAKAN SOAL PADA APLIKASI MOBILE LEARNING KUIS FIQIH BERBASIS ANDROID

2019 ◽  
Vol 13 (2) ◽  
pp. 40
Author(s):  
Rio Priantama ◽  
Yuda Priandani
Keyword(s):  
Programming Languages ◽  
Mobile Learning ◽  
System Development ◽  
Learning Material ◽  
Application Development ◽  
Face To Face ◽  
Android Platform ◽  
Black Box Testing ◽  
Acceptance Model ◽  
Randomization Method

The conventional learning process carried out face-to-face, is less effective as a source of learning, because the focus of students' interest has now shifted to their device so that students have difficulty repeating learning material. This study aims to produce learning media based on mobile learning on the android platform which is used as a source of learning fiqh applications for students. This mobile learning application is built by applying the Fisher Yates Shuffling algorithm or commonly known as the Fisher Yates algorithm which is now widely used in the process of developing randomization applications. This randomization method is the optimal randomization method in application development, being able to randomize the amount of material about the science of jurisprudence and prevent cheating users who only memorize answers without understanding the material when the questions are fixed or not random. Applications are built using MySQL as a database designed to manage and manipulate data quickly and easily. PHP and Perl are used as scripting programming languages for the internet and collaborate on the Android platform. The system development method used is RUP (Rational Unified Process) by collecting various best practices found in the software development industry.System testing is done using a white box and black box testing shows that the Fisher Yates algorithm can be applied in the mobile learning quiz application as a randomizer about questions. User Acceptance Model (UAT) test results show that this mobile learning application can help the process of learning the science of jurisprudence as well as being a reference in seeing the ability of students to learn the science of jurisprudence. Keywords: Mobile learning, Fisher Yates Algorithm, Fiqih, MySQL, RUP, UML

scholarly journals IMPLEMENTASI SISTEM KLAIM ASURANSI KENDARAAN BERMOTOR DI PT. IBS INSURANCE BROKING SERVICE, JAKARTA BERBASIS MOBILE

CCIT Journal ◽  
2016 ◽  
Vol 9 (2) ◽  
pp. 191-202
Author(s):  
Christine Dewi ◽  
Kevin Hasudungan Brotosetyo Putro ◽  
Ramos Somya
Keyword(s):  
Web Service ◽  
System Development ◽  
Research Result ◽  
Assessment Process ◽  
Machine Error ◽  
Writing Research ◽  
Android Platform ◽  
Process System ◽  
Test Result ◽  
New System

Claim's services in the PT. IBS Insurance Broking Service experiencing some obstacles in handling claim report. Claim officer cannot send notification letter and claim form to client who has not been having facsimile machine, error form filling, resulting the client must resend a new claim form, claim officer cannot quickly having assessment process permission. Therefore, a new system is needed to solve the claim activities problems. Claim system development aim to help claim officers to do their claim process. Analyzing claim process, system designing, implementing new system and testing new system, also analyzing test result, and writing research result are needed to develop new claim system. Claim applications created with Google Cloud Messaging Service, FPDF library, PHPExcel library, and REST Web Service. This research generates claim system helped with application based on mobile android platform. This research’s result shows the new system help client, claim officer, assessment officer, and claim head to do his/her job in the claim process

MOBILE APPLICATIONS FOR THE ANDROID OPERATING SYSTEM: DEVELOPMENT TECHNOLOGIES

2021 ◽  
Author(s):  
Виктор Михайлович Красноусов ◽  
Леонид Вячеславович Букреев ◽  
Георигий Андреевивич Шпаковский ◽  
Евгений Романович Калюжный ◽  
Наталья Вячеславовна Зариковская
Keyword(s):  
Operating System ◽  
Programming Languages ◽  
Programming Language ◽  
Mobile Applications ◽  
System Development ◽  
Server Side ◽  
Python Programming Language ◽  
Android Platform ◽  
Android Operating System ◽  
Python Programming

В статье рассмотрены технологии, используемые для реализации мобильных приложений для платформы Android, на языке программирования Kotlin и архитектуры MVVM, а также реализации их серверной части на языке программирования Python. The article discusses technologies for implementing an application for the Android platform in the Kotlin and MVVM programming languages, as well as the implementation of the server side in the Python programming language.

Optical Character Recognition System Development on Android Platform to Aid Edit Text

2018 ◽  
Vol 16 (11) ◽  
pp. 2757-2765
Author(s):  
Daniel de Alencar Lima ◽  
Gabriel Bandeira Holanda ◽  
Joao Wellington Mendes Souza ◽  
Pedro Pedrosa Reboucas Filho
Keyword(s):  
Character Recognition ◽  
Optical Character Recognition ◽  
System Development ◽  
Recognition System ◽  
Optical Character ◽  
Android Platform

scholarly journals Perancangan Sistem Keamanan Brangkas Menggunakan Pengenalan Wajah Berbasis Android

2020 ◽  
Vol 4 (3) ◽  
pp. 635
Author(s):  
Gilang Aditya Rama ◽  
Fauziah Fauziah ◽  
Nurhayati Nurhayati
Keyword(s):  
Face Recognition ◽  
System Development ◽  
Local Binary Patterns ◽  
Modern Technology ◽  
Security System ◽  
Unit Testing ◽  
Software Designers ◽  
Design Program ◽  
User Data ◽  
Face Reading

The level of security in terms of access is one of the main priorities of everyone to improve the security system that feels the need for improvement following the development of modern technology. This study discusses a security system using Android-based face recognition. The aim of this research is that the safe safety system has a better level of security than the previous system. The initial stage to build this system, the authors do the literature data collection stage as a basis for the theory and system development methods used by software designers before is the waterfall method, in general this method is divided into several stages, including: Analysis, Design, Program Code and Unit Testing. For the method used in the research of this system is the eigenfaces algorithm method for the detection of facial objects in the initial process of image training. As well as the Local Binary Patterns algorithm method and Histrogram Equalization at the stage of reading the user's face recognition image accurately which has an accuracy of face reading up to 95.56%. The results of the user's face data will be processed in Wemos D1 and the data will be sent and stored in a database. The results of data from face recognition data will be used again as user data to open the safe. The conclusion, the system can read the user's face in real time and can work well for safe security systems

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