Automation of Time Attendance Machine Data Acquisition through ADMS Features
##plugins.themes.academic_pro.article.main##
Abstract
The purpose of this research is to provide convenience for institutions in monitoring employee attendance through the ADMS (Automatic Data Master Server) feature so that information related to measuring employee attendance levels in real time and reliable (cannot be manipulated) can be achieved. This research method uses the Waterfall method where the stages are through Data Analysis, Design, Object research, Implementation and system trials. The results of this study are the results of the implementation there are several conclusions obtained from the design activities of the electronic attendance application, namely the employee data synchronization feature can ensure that employee data in the electronic attendance system is the most up-to-date employee data without the need to re-enter employee data. The use of the ADMS feature in the finger print machine allows sending finger print data in real time, where finger print data that enters the finger print machine at that time can also be sent to the electronic attendance application server. Thus the attendance of each employee can be monitored in real time.
##plugins.themes.academic_pro.article.details##
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
References
- Badr, S. F., & Nasir, M. (2022). Implementation of Web Service Fingerprint Attendance Machine on Employee Attendance Information System. Journal of Information Systems and Informatics, 4(4), 1076–1093. https://doi.org/10.51519/JOURNALISI.V4I4.382
- Bastina, A. A. M., & Rama, N. (2017). Biometric Identification and Authentication Providence using Fingerprint for Cloud Data Access. International Journal of Electrical and Computer Engineering (IJECE), 7(1), 408–416. https://doi.org/10.11591/IJECE.V7I1.PP408-416
- Cay, S., Sartika, D., Sumiaty, R. Y., Meryanti, A., & Sunarsi, D. (2022). The Effect Of Fingerprint Attendance and Work Motivation On Employee Discipline On CV Story Of Copyright. Jurnal Office, 7(2), 333–340. https://doi.org/10.26858/JO.V7I2.31369
- Fajriati, N., & Budiman, K. (2021). Web-Based Employee Attendance System Development Using Waterfall Method. Journal of Advances in Information Systems and Technology, 3(2), 8–20. https://doi.org/10.15294/JAIST.V3I2.52942
- Mohamed, B. K. P., & Raghu, C. V. (2012). Fingerprint attendance system for classroom needs. 2012 Annual IEEE India Conference, INDICON 2012, 433–438. https://doi.org/10.1109/INDCON.2012.6420657
- Nadhan, A. S., Tukkoji, C., Shyamala, B., Dayanand Lal, N., Sanjeev Kumar, A. N., Mohan Gowda, V., Adhoni, Z. A., & Endaweke, M. (2022). Smart Attendance Monitoring Technology for Industry 4.0. Journal of Nanomaterials, 2022. https://doi.org/10.1155/2022/4899768
- Pertama, P. P. (2019). Digital Informasi Kehadiran Status Dosen ITB STIKOM Bali Berbasis Web. RESEARCH : Computer, Information System & Technology Management, 2(2), 64. https://doi.org/10.25273/RESEARCH.V2I02.5223
- Rajarajan, S., Venkata Kausik, R., Sree Charan, M., & Priyadarsini, P. L. K. (2019). Privacy Preserving Fingerprint Authentication at the Cloud Server for eHealth Services. EAI Endorsed Transactions on Pervasive Health and Technology, “5â€(18). https://doi.org/10.4108/EAI.13-7-2018.162688
- Vidhya, K., Raj, K. N. K., Kumar, R. N., Shekar, N., & Nithish, H. R. (2022). IoT Based Voting System with Fingerprint Verification. International Journal of Research in Engineering, Science and Management, 5(6), 208–213. https://journal.ijresm.com/index.php/ijresm/article/view/2198
- Yulianto, S. V., Hafidhoh, N., Lestarinisngsih, T., & Paksi, A. B. (2022). ATTENDANCE INFORMATION SYSTEM USING FINGERPRINT BASED ON THE INTERNET OF THINGS. The International Conference on Computer Science and Engineering Technology Proceeding (ICCSET), 1(1), 38–44. https://prosiding.umk.ac.id/index.php/iccset/article/view/4