Performance of Backpropagation Algorithm in Recognizing Patterns on Finger Print Machines at Jaya Krama Beringin Private Vocational School Using Artificial Neural Network
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Published:
Sep 1, 2020
Keywords:
ANN, Backpropagation, Finger print attendance
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Abstract
This research is about Artificial Neural Networks in Identifying Patterns on Finger Print Machines at the Jaya Kerama Beringin Private Vocational School. The method used is Backpropagation, Backpropagation is applied to determine the finger print machine user with criteria, whether he arrives on time, is he late, and whether go home too early or come home on time. The system was built using Visual Studio 2010 programming language with Microsoft Access 2007 database. The result of this research is a finger print attendance application that identifies the attendance machine user which can help Jaya Kerama Vocational High School in controlling the discipline of teachers and employees.
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Sutini, S., & Siahaan, R. F. (2020). Performance of Backpropagation Algorithm in Recognizing Patterns on Finger Print Machines at Jaya Krama Beringin Private Vocational School Using Artificial Neural Network. Journal of Intelligent Decision Support System (IDSS), 3(3), 1-11. Retrieved from https://idss.iocspublisher.org/index.php/jidss/article/view/8
References
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[7] Madden, Callif, and Tasker 2020 use a finger print sensor with the fingerprint method where fingerprint recognition is used with a filtergabor approach with 10 respondents, where each respondent is taken with 8 scanning fingerprint data, which is varied from the angle of taking the fingerprint to the sensor. 0o, 22.5𝑜, 45𝑜, 67.5𝑜90𝑜112.5𝑜135𝑜157.5𝑜 and the result is 157.50.
[8] Octaviano, Alvino et al. 2017. "Fingerprint Fingerprint Based Employee Attendance System." Proceedings of the National Seminar on Informatics and Information Systems 1: 106–22.
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[12] Romadhon, Ahmad Sahru, Vivi Tri Widyaningrum, and Ahmad Sahru Romadhon. 2015. "Method Fingerprint Image Recognition System." : 978–79.
[13] Surono, Surono (Pandanaran University Semarang), and Moh. Mukeri (Pandanaran University Semarang) Paramitha, Patricia Dhiana (Pandanaran University Semarang) Warso. 2016. "The Influence of Transformational Leadership Style, Organizational Culture and Work Discipline on Work Productivity with Work Ethic as an Intervening Variable at Pt. Muliapack Gravurindo Semarang. " Maharaja Agrasen Institute of Management and Technology Journal of IT & Management.
[14] Seminar, Rizky Mulya Sampurno and Kudang Boro. 2017. "Artificial Neural Network Application in Early Detection System for Food Crisis Management." Application of Artificial Neural Networks in Early Detection Systems for Food Crisis Management 11 (1).
[15] Sudarsono, Aji. 2016. "Artificial Neural Networks To Predict Population Growth Rate Using Backpropagation Method (Case Study In Bengkulu City)." Media Infotama. Sudarto, Singgih, Dewi Mayasari, Lia Listyana. 2002. "Artificial Neural Network." Dynamic-Journal of Information Technology 7 (2): 17–75.
[16] Sutojo.T, Mulyanto Edi and Vincent S. (2011). Artificial intelligence. Yogyakarta: ANDI
[17] Zola, Fatmi. 2018. "Artificial Neural Networks Using Backpropagation Algorithm to Predict Student Achievement." Journal of Technology and Open Source 1 (1): 58–72.
[2] Bose, Palash Kumar, and Mohammad Jubaidul Kabir. 2017. "Fingerprint: A Unique and Reliable Method for Identification." Journal of Six Medical College.
[3] Habibi, Mochammad Yusuf, and Edwin Riksakomara. 2017. "Forecasting the Price of Salt Consumption Using an Artificial Neural Network Feedforward-Backpropagation (Case Study: PT. Garam Mas, Rembang, Central Java)." Engineering Journal ITS.
[4] Hania, Abu Ahmad. 2017. "Get to know Artificial Intelligence, Machine Learning, Neural Networks, and Deep Learning." Indonesian Journal of Technology.
[5] Jek Siang, J. (2005). Neural Networks & Its Programming Using MATLAB. Yogyakarta: ANDI.
[6] Nurmalasari, Sari Hartini, Cep Adiwihardja, and Muniroh Muniroh. 2018. "The Effectiveness of Fingerprint Attendance Implementation Against Employee Work Discipline of PT. Hillconjaya Sakti Jakarta. " Snit 2018.
[7] Madden, Callif, and Tasker 2020 use a finger print sensor with the fingerprint method where fingerprint recognition is used with a filtergabor approach with 10 respondents, where each respondent is taken with 8 scanning fingerprint data, which is varied from the angle of taking the fingerprint to the sensor. 0o, 22.5𝑜, 45𝑜, 67.5𝑜90𝑜112.5𝑜135𝑜157.5𝑜 and the result is 157.50.
[8] Octaviano, Alvino et al. 2017. "Fingerprint Fingerprint Based Employee Attendance System." Proceedings of the National Seminar on Informatics and Information Systems 1: 106–22.
[9] Prasetyo, Hoedi, and Wahyudi Sutopo. 2017. "Industrial Engineering Scientific Development Towards the Era." In the 2017 IDEC National Seminar and Conference.
[10] Rifzan. 2018. "Understanding Artificial Intelligence and Examples in Life." 28 December 2018.
[11] Ritonga, Alven Safik, and Suryo Atmojo. 2018. "Development of Artificial Neural Network Model to Predict the Number of New Students in PTS Surabaya (Case Study of Wijaya Putra University)." Asian Scientific Journal of Information Technology.
[12] Romadhon, Ahmad Sahru, Vivi Tri Widyaningrum, and Ahmad Sahru Romadhon. 2015. "Method Fingerprint Image Recognition System." : 978–79.
[13] Surono, Surono (Pandanaran University Semarang), and Moh. Mukeri (Pandanaran University Semarang) Paramitha, Patricia Dhiana (Pandanaran University Semarang) Warso. 2016. "The Influence of Transformational Leadership Style, Organizational Culture and Work Discipline on Work Productivity with Work Ethic as an Intervening Variable at Pt. Muliapack Gravurindo Semarang. " Maharaja Agrasen Institute of Management and Technology Journal of IT & Management.
[14] Seminar, Rizky Mulya Sampurno and Kudang Boro. 2017. "Artificial Neural Network Application in Early Detection System for Food Crisis Management." Application of Artificial Neural Networks in Early Detection Systems for Food Crisis Management 11 (1).
[15] Sudarsono, Aji. 2016. "Artificial Neural Networks To Predict Population Growth Rate Using Backpropagation Method (Case Study In Bengkulu City)." Media Infotama. Sudarto, Singgih, Dewi Mayasari, Lia Listyana. 2002. "Artificial Neural Network." Dynamic-Journal of Information Technology 7 (2): 17–75.
[16] Sutojo.T, Mulyanto Edi and Vincent S. (2011). Artificial intelligence. Yogyakarta: ANDI
[17] Zola, Fatmi. 2018. "Artificial Neural Networks Using Backpropagation Algorithm to Predict Student Achievement." Journal of Technology and Open Source 1 (1): 58–72.