Implementation Of Geolocation Method Using Haversine Model on Internship Presence System: Case Study in One of The State-Owned Enterprises
DOI:
https://doi.org/10.55208/ebmtj.v2i2.173Keywords:
Attendance, Geolocation, Haversine Formula, Web-Based System, GPS, Rapid Application Development, Unified Modeling LanguageAbstract
Attendance is a critical metric in assessing internship participants, impacting their total evaluation during the internship duration. A state-owned firm presently employs a manual attendance system utilizing a logbook, susceptible to recording inaccuracies and data tampering. This study seeks to develop a web-based attendance system that employs geolocation techniques, enabling interns to check in without completing a logbook. This system uses the Haversine model to compute a maximum distance of 500 meters from a specified work site to guarantee the precision of attendance data.
This research also examines absence resulting from illness or authorized leave. Rapid Application Development (RAD), utilizing Unified Modeling Language (UML) for system design, is the methodology employed in creating this attendance system. The system is coded utilizing the PHP programming language and the MySQL database. This research culminates in developing a web-based attendance system that allows interns to check in at their work sites efficiently and correctly, thereby diminishing reliance on the manual logbook system.
This research entails improved precision in attendance documentation, heightened efficiency in overseeing intern assessments, and augmented accountability among interns. By applying this method, the state-owned firm can more effectively evaluate intern performance and make informed decisions concerning its organizational development and contributions.
References
Abdurrasyid, A., Susanti, M. N. I., & Indrianto, I. (2024). Monitoring the location of visually impaired people using the Haversine Method. 030014. https://doi.org/10.1063/5.0237295
Agramanisti Azdy, R., & Darnis, F. (2020). Use of Haversine Formula in Finding Distance Between Temporary Shelter and Waste End Processing Sites. Journal of Physics: Conference Series, 1500(1), 012104. https://doi.org/10.1088/1742-6596/1500/1/012104
Diyasa, I. G. S. M., Prasetya, D. A., Idhom, M., Sari, A. P., & Kassim, A. M. (2022). Implementation of Haversine Algorithm and Geolocation for travel recommendations on Smart Applications for Backpackers in Bali. 2022 International Conference on Informatics, Multimedia, Cyber and Information System (ICIMCIS), 504–508. https://doi.org/10.1109/ICIMCIS56303.2022.10017760
Elgui, K., Bianchi, P., Portier, F., & Isson, O. (2020). Learning methods for RSSI-based geolocation: A comparative study. Pervasive and Mobile Computing, 67, 101199. https://doi.org/10.1016/j.pmcj.2020.101199
Fatimah, F., Al Ikhsan, S. H., & Wulandari, B. (2022). IMPLEMENTATION OF THE HAVERSINE METHOD FOR THE APPLICATION OF FINDING TOURIST ATTRACTIONS IN NANGGUNG DISTRICT. Jurnal Pilar Nusa Mandiri, 18(1), 59–64. https://doi.org/10.33480/pilar.v18i1.3000
Hao, C., Feng, D., Zhang, Q., & Xia, X.-G. (2021). Interference Geolocation in Satellite Communications Systems: An Overview. IEEE Vehicular Technology Magazine, 16(1), 66–74. https://doi.org/10.1109/MVT.2020.3002525
KANAGARAJ, V., & SURESH, J. (2019). Hybrid Haversine-Genetic Geographical Modelling for an Optimal Web Service Selection/Recommendation. ECONOMIC COMPUTATION AND ECONOMIC CYBERNETICS STUDIES AND RESEARCH, 53(4/2019), 225–242. https://doi.org/10.24818/18423264/53.4.19.14
Liu, C., Luo, X., Yuan, F., & Liu, F. (2020). RNBG: A Ranking Nodes Based IP Geolocation Method. IEEE INFOCOM 2020 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS), 80–84. https://doi.org/10.1109/INFOCOMWKSHPS50562.2020.9162976
Marcheta, N., Taufiqurrohman, F. H., Nalawati, R. E., Muharram, A. T., Iswara, R. W., & Huzaifa, M. (2022). Development of Mobile Asset Management Applications with Geolocation and Haversine. 2022 5th International Conference of Computer and Informatics Engineering (IC2IE), 1–5. https://doi.org/10.1109/IC2IE56416.2022.9970187
Muhammad Dawamul Mughni, & Putri Aisyiyah Rakhma Devi. (2023). Implementation Of Teacher Presence System Using Mobile-Based Geofencing & Haversine Formula Methods. Applied Technology and Computing Science Journal, 6(1), 31–40. https://doi.org/10.33086/atcsj.v6i1.4119
Saragadam, S., Rohan, G., A, V. C., Ullas, S., & Vishwas, H. N. (2024). Mapp3D: Real-time 3D Mapping and Geolocation Tracking using IOT devices. 2024 International Conference on Intelligent Computing and Emerging Communication Technologies (ICEC), 1–6. https://doi.org/10.1109/ICEC59683.2024.10837076
Sudiatmika, I. P. G. A., Dewi, K. H. S., & Jayaningsih, A. A. R. (2021). Garage Geographic Information System Using Haversine Method Based On Android. 2021 3rd International Conference on Cybernetics and Intelligent System (ICORIS), 1–7. https://doi.org/10.1109/ICORIS52787.2021.9649580
Downloads
Additional Files
Published
Issue
Section
License

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




