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All Journal JURNAL EKSAKTA PENDIDIKAN (JEP) Pelita Eksakta Journal of Mathematics UNP Rangkiang Mathematics Journal

Defri Ahmad

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Author-ID : 2756479

Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Chemistry Computer Science & IT Decision Sciences, Operations Research & Management Education Mathematics Physics Other

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Face Recognition Menggunakan Algoritma Haar Cascade Classifier Dan Convolutional Neural Network Bella Hartika; Defri Ahmad
Journal of Mathematics UNP Vol 6, No 3 (2021): Journal Of Mathematics UNP
Publisher : UNIVERSITAS NEGERI PADANG

Face recognition is a biometric technology that is widely used in the era of the industrial revolution 4.0 such as smart home, security and presence. In the application of face recognition, a method is needed that can perform facial recognition quickly andwith a high level of accuracy. This study aims to determine the level of accuracy and computation time of the Haar Cascade Classifier Algorithm and Convolutional Neural Network in Face Recognition with the mechine learning method. Determining the level ofaccuracy is done by calculating the amount of facial data that can be recognized from the overall face data. Calculating the computational time is done by calculating the time required during the facial recognition process by the computational process. The process of determining the level and time of computing is carried out by the python computing program using the numpy and tensorflow libraries. Based on the analysis carried out by the face detection process using the Haar Cascade Algorithm and Convolutional Neural Network, the program accuracy is 98.84% and the average time needed to recognize faces is 0.05s

Penerapan Teori Antrian pada Pelayanan Teller Bank BNI Kantor Cabang Pembantu Air Tawar Windy Septia Putri; Defri Ahmad
Journal of Mathematics UNP Vol 5, No 1 (2020): Journal Of Mathematics UNP
Publisher : UNIVERSITAS NEGERI PADANG

Abstract– Queuing is one of the problems that is often faced by public services, as happened at the BNI Sub-Branch Office Air Tawar. It is due to the large number of customers who come to get services. This paper discusses the resolution of the problem faced by obtaining a queuing model that is applied to bank tellers. Data collection is carried out for 5 days (Monday to Friday, at 09.00 - 12.00 Western Indonesian Time) and is done through interviews and direct observations at the teller section of the BNI Sub-Branch Office Air Tawar. Based on the results of the analysis by measuring the performance of the queuing system, it is found that the model applied is .The arrival time of the customer is Poisson distribution and the time of service to the costumer is exponential distribution. The general discipline used is first in first out (FIFO). The basic queuing model is the Multiple Channel Queuing System.Keywords– Queue Theory, Multiple Channel Queuing System.

Co-Authors A.A. Ketut Agung Cahyawan W Ali Azmar Arnellis Arnellis Atikah Bella Hartika Dina Fitria Elita Zusti Jamaan Fridgo Tasman Fridgo Tasman Maulana, Heru Meria Ultra Gusteti Minora Longgom Nasution Muhammad Subhan Ronal Rifandi Saddam Al Aziz Suherman Suherman Windy Septia Putri Yusmet Rizal

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