Face Recognition with Backpropagation Artificial Neural Networks Using the Sigmoid Activation Function

Restu Monika Nia Betaubun, Elvis Pawan, Endang Yuliasih

Abstract


In the current development of information technology facilities that are so rapid and complex, the reliability of a system that processes data properly will produce good information. The use of computers today is not only to help human work, but has also replaced human work in various fields. The purpose of this research is to design an image model in an application program. This existing digital image can then be used for various purposes. One way is to take photos on a driver's license (SIM), when taking photos directly using a digital camera and facial photo files are also directly stored in the police database. So this facial photo recognition program can actually also be applied by the police to recognize the faces of criminals. From the 10 experimental samples, it can be concluded that the best LearnRates with the lowest ErrorLevel for BMP format files are for learnrate 0.2 with an error rate of 18,54229 and a match rate of 81,45771 with a recognition rate of more than 60% in photo 2, while with an error rate of 51.00543 and a match level 48,99457

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References


David Novianto Simajuntak, Syaeful Karim. (2015). Library Management Applications Web-Based Using The Laravel Framework On Home Foundation (House Of Mercy).

Diqy Fakhrun S, Nurul A,. (2013). Information Media Software. Diqy Fakhrun Siddieq, Nurul Aqmarina,. Information Media Software.

Erinton R, Rida M.N, And Danu D.S. (2017). Framework Performance Analysis Codeigniter And Laravel Using Apache Web Server.

Erinton Ruli, Ridha Muldina Negara, And Danu Dwi Sanjoyo. (2017). Performance Analysis

Codeigniter And Laravel Framework Using Apache Web Server. Exvalanta Rully, Yessica N, and Yos Richard Beeh. (2012). Powerline Throughput.

FrameYii. (2019, December 7). Taken back from the yii framework:https://www.yiiframework.com/doc/guide/1.1/en/database.query-builder

Hamid, M.N. (2019). Comparisonal Analysis Of Codeigniter Framework and Laravel FRAMEWORK (Case Study Of Inventory Of Hmj Ti Stmik Akakom Yogyakarta).

Handayani, F. S. (2014, 04 28). Applied Manual Calculation of Likert Scale Questionnaire Results. Taken back from PalComTech:http://news.palcomtech.com/examples-terapan-perhitung-manual-and-analysis-questionnaire-results-using-likert-scale

Permatahati, I., & Muqorobin, M. (2022). Computer Sales Forecasting System Application Using Web-Based Single Moving Average Method. International Journal of Computer and Information System (IJCIS), 3(2), 56-63.

Hustinawati, Albert Kurnia Himawan, and Latifah. (2014). Performance Analysis Framework Codeigniter and CakePHP in Website Creation.

I K S Atmaja , Etc. (2017). Implementation of the Model View Controller Framework Codeigniter on E-commerce Bali Handicraft Sales Commerce.

Rafael C.Gondalez & Paul Wintz, Digitallmage Processing Second Edition, By Addison — Wesley Publising Company, Inc. 1987

Roger S. Pressman, Software Engineerfng A Practitioner’s Approach 4 EditfOf2, By The McGraw— Hill Companies, Inc. 1997, 1992, 1987, 1982.

Kemal Ade Sekarwati, Jaringan Syaraf Tiruan, www.gunadarma.ac.id, 1998 Doron Shalvi, Backpropogation Neural Network Tue Sep 30 19:46:24 EDT 1997 McCulloch, W. and Pitts, W. (1943), A logical calculus of the ideas immaiient in nerrow aciİVfJ. Bulletin ofMathematical Biophysic

N.A. Campbell, Biology, Redwood City, CA. Benjamin/Cummings 1990.

Muqorobin, M. (2021). ANALYSIS OF FEE ACCOUNTING INFORMATION SYSTEMS LECTURE AT ITB AAS INDONESIA IN THE PANDEMIC TIME OF COVID-19. International Journal of Economics, Business and Accounting Research (IJEBAR), 5(3), 1994-2007.

L. Fausett, Fundamentals ofNeural Networks, New Jersey, Prentice-Hall 1994.

Kusrini, K., Luthfi, E. T., Muqorobin, M., & Abdullah, R. W. (2019, November). Comparison of Naive Bayes and K-NN Method on Tuition Fee Payment Overdue Prediction. In 2019 4th International Conference on Information Technology, Information Systems and Electrical Engineering (ICITISEE) (pp. 125-130). IEEE.

Fitriyadi, F., & Muqorobin, M. (2021). Prediction System for the Spread of Corona Virus in Central Java with K-Nearest Neighbor (KNN) Method. International Journal of Computer and Information System (IJCIS), 2(3), 80-85.

J.M. Zurada, Introduction to AMifìcial Neural Systems, West Publishing, St. Paul, MN, 1992. http:// www.goog1e.com/Harian Umum Suara Merdeka.html (Wawan Hermawan ST/STIMIK-AKI Semarang-35c) Aplikasi Nyata Artificial Intelligence, Sabtu, 8 Desember 2020.




DOI: https://doi.org/10.29040/ijcis.v3i3.82

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