Implementation of CNN and the Haversine Formula in the Development of an iOS-Based Employee Attendance System

Authors

Rama Dwiyantara Perkasa Universitas Kebangsaan Republik Indonseia
Oscar Hadikaryana Universitas Kebangsaan Republik Indonesia

Keywords:

CNN, Employee Attendance System, Haversine Formula, iOS

Abstract

This research aims to develop an iOS employee attendance system using Convolutional Neural Network (CNN) and the Haversine Formula. The study is conducted because traditional attendance systems often lack accuracy and efficiency. The research proposes the integration of CNN technology for employee face recognition and the Haversine Formula for calculating the radius of the location between the employee's position and the workplace. CNN is used to process employee face images through the iOS device's camera, thereby enhancing identification accuracy. The Haversine Formula calculates the distance from the current location to the workplace. The research results in an iOS mobile application for more efficient attendance management.

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Published

2023-12-26

Issue

Vol. 1 No. 2 (2023): Journal Data Science, Technology, Informatics and Security (December 2023)

Section

Articles

License

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.