LAYANAN KUALITAS TINGGI GEOLOKASI: KAJIAN LITERATUR

Authors

  • Nofirman Nofirman Universitas Prof Dr Hazairin SH, Bengkulu, Indonesia

DOI:

https://doi.org/10.29040/jie.v6i2.6126

Abstract

The rapid development of the field of basic science and engineering sciences (engineering) has produced new technology as a solution to overcome complex and complicated problems. The magnitude changes experienced by primary cartography have turned into digital cartography, so the presence of cartographic maps in the form of GPS has become a current trend. The technological revolution in presenting geographic data has been accommodated as the main challenge of geography in the 21st century. The existence of geographical space has received abundant progress from computer technology, satellite and internet networks, automation, so that the performance of space equipped with facilities has resulted in high quality geolocation services. The potential of geolocation in various platforms has been enjoyed by various residents, starting from Google Maps with technology that becomes a tool and is very important for storing, manipulating, analyzing and displaying natural conditions with the help of data and spatial attributes. High quality geolocation services have been enjoyed by residents through various social media platforms (such as twitter, instagram, facebook, youtube, tiktok and so on), so that all forms of communication have been conveyed quickly and very meaningfully. In the economic field, high quality geolocation services have provided information ranging from sourcing of goods, distribution (courier) and marketing.

References

EGSA. (2019). Report on Location-Based Services User Needs and Requirements. European Union Agency, 88.

Fillekes, M. P., Giannouli, E., Kim, E. K., Zijlstra, W., & Weibel, R. (2019). Towards a Comprehensive Set of GPS-Based Indicators Reflecting the Multidimensional Nature of Daily Mobility for Applications in Health and Aging Research. International Journal of Health Geographics, 18(1), 17. https://doi.org/10.1186/s12942-019-0181-0.

Garcia, M. B. (2022). Location-Based Marketing Using Mobile Geofencing: Lessons Learned from a Location-Based Marketing Using Mobile Geofencing: Lessons Learned from a User-Centered Application Development Research. International Journal of Technology Marketing, 9(April), 1–32. https://doi.org/10.1504/IJTMKT.2022.10047566.

Gentile, C., Alsindi, N., Raulefs, R., Teolis, C. 2013. Geolocation Techniques: Principles and Applications. Springer-Verlag New York. DOI 10.1007/978-1-4614-1836-8.

Huang, H., Gartner, G., Krisp, J. M., Raubal, M., & Van de Weghe, N. (2018). Location Based Services: Ongoing Evolution and Research Agenda. Journal of Location Based Services, 12(2), 63–93. https://doi.org/10.1080/17489725.2018.1508763.

Kimerling, A. J., Sahr, K., White, D., & Song, L. (1999). Comparing geometrical properties of global grids. Cartography and Geographic Information Science, 26(4), 271–288. https://doi.org/10.1559/152304099782294186.

Li, D., Chen, J., Guo, C., Liu, Y., Zhang, J., Zhang, Z., & Zhang, Y. (2013). IP-geolocation mapping for moderately connected internet regions. IEEE Transactions on Parallel and Distributed Systems, 24(2), 381–391. https://doi.org/10.1109/TPDS.2012.136.

Li, M., & Stefanakis, E. (2020). Geospatial Operations of Discrete Global Grid Systems—a Comparison with Traditional GIS. Journal of Geovisualization and Spatial Analysis, 4(2). https://doi.org/10.1007/s41651-020-00066-3.

Li, Z., Cheng, C., Kwan, M. P., Tong, X., & Tian, S. (2019). Retraction: Identifying Asphalt Pavement Distress Using UAV LiDAr Point Cloud Data and Random Forest Classification. ISPRS International Journal of Geo-Information, 8(9), 1–2. https://doi.org/10.3390/ijgi8090402.

MacKinnon, D., Dawley, S., Pike, A., & Cumbers, A. (2019). Rethinking Path Creation: A Geographical Political Economy Approach. Economic Geography, 95(2), 113–135. https://doi.org/10.1080/00130095.2018.1498294.

McLean, J. 2020. Changing Digital Geographies. Palgrave Macmillan, Springer Nature. P

Switzerland AG. https://doi.org/10.1007/978-3-030-28307-0.

Madleňák, A. (2021). Geolocation Services and Marketing Communication from a Global Point of View. SHS Web of Conferences, 92, 02040. https://doi.org/10.1051/shsconf/20219202040.

Milusheva, S., Marty, R., Bedoya, G., Id, S. W., Resor, E., & Legovini, A. (2021). Applying Machine Learning and Geolocation Techniques to Social Media Data (Twitter) to Develop a Resource for Urban Planning. Plos One, 1–12. https://doi.org/10.1371/journal.pone.0244317.

Nofirman. 2020. Perubahan Konsep Kunci Geografi. Jurnal Georafflesia. Vol : 5, No : 1, Juni 2020. https://journals.unihaz.ac.id/index.php/georafflesia.

Palos-Sanchez, P., Saura, J. R., Reyes-Menendez, A., & Esquivel, I. V. (2018). Users Acceptance of Location-Based Marketing Apps in Tourism Sector: an Exploratory Analysis. Journal of Spatial and Organizational, 3, 13.

Rachman, A. S., KHB, M. A., & Setianingsih, E. S. (2021). An Analysis of the Use of Gadget on Students’ Learning Outcome (Case Study). International Journal of Elementary Education, 4(4), 558–565. https://ejournal.undiksha.ac.id/index.php/IJEE/article/view/31917.

Rahmatulloh, A., Rianto, R., & Shihab, M. Q. (2019). Point Clipping Algorithm on Employee Presence Application for Geolocation of Employee Position. Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control, 4, 345–356. https://doi.org/10.22219/kinetik.v4i4.796.

Reformat, B. (2019). The Increased Importance of Geolocation in Retail Trade in Poland – Selected Aspects of Activities. Pobrane z Czasopisma Annales Hsectio H – Oeconomia, 53(2), 67. https://doi.org/10.17951/h.2019.53.2.67-77.

Sahr, K. (2011). Hexagonal Discrete Global Grid Systems for Geospatial Computing. Archiwum Fotogrametrii, Kartografii i Teledetekcji, 22, 363–376. http://webpages.sou.edu/~sahrk/sqspc/pubs/sahrMMT11us.pdf%5Cnhttp://ptfit.sgp.geodezja.org.pl/wydawnictwa/krakow2011/APCRS vol. 22 pp. 363-376.pdf.

Sahr, K., White, D., & Kimerling, A. J. (2003). Geodesic discrete global grid systems. Cartography and Geographic Information Science, 30(2), 121–134. https://doi.org/10.1559/152304003100011090.

Shekhar, S., Chandrasekaran, K., & Mathew, J. (2021). The impact of Location-Based Marketing Strategies on Retail Sectors in Al Batinah Region During COVID 19 Pandemic. International Journal of Management, Innovation & Entrepreneurial Research, 7(2), 07–17. https://doi.org/10.18510/ijmier.2021.722.

Singh, S. (2019). The Role of Speech Technology in Biometrics, Forensics and Man-Machine Interface. International Journal of Electrical and Computer Engineering (IJECE), 9(1), 281. https://doi.org/10.11591/ijece.v9i1.pp281-288.

Smith, H. (2020). The Locative Imaginary: Classification, Context and Relevance in Location Analytics. Sociological Review, 68(3), 641–658. https://doi.org/10.1177/0038026119878939.

Snyder, H. (2019). Literature Review as a Research Methodology: An Overview and Guidelines. Journal of Business Research, 104(July), 333–339. https://doi.org/10.1016/j.jbusres.2019.07.039.

Steiner, T., Kostiainen, A., & Kruisselbrink, M. (2019). Geolocation in the Browser. IEEE Access, 2008, 913–918. https://doi.org/10.1145/3308560.3316538.

Taryadi, T., Binabar, S. W., & Siregar, D. J. (2019). Geographic Information System for Mapping the Potency of Batik Industry Centre. Journal of Information Systems Engineering and Business Intelligence, 5(1). https://doi.org/10.20473/jisebi.5.1.40-47.

Wang, W., Wang, L., Wang, X., & Wang, Y. (2022). Geographical Determinants of Regional Retail Sales: Evidence from 12,500 Retail Shops in Qiannan County, China. International Journal of Geo-Information, 4(11), 25.

Xu, G., Gao, S., Daneshmand, M., Wang, C., & Liu, Y. (2017). A Survey for Mobility Big Data Analytics for Geolocation Prediction. IEEE Wireless Communications, 24(1), 111–119. https://doi.org/10.1109/MWC.2016.1500131WC.

Zhao, F., Luo, X., Gan, Y., Zu, S., Cheng, Q., & Liu, F. (2019). IP Geolocation based on identification routers and local delay distribution similarity. Concurrency and Computation: Practice and Experience, 31(22), 1–15. https://doi.org/10.1002/cpe.4722.

Zhao, X., Pu, F., Wang, Z., Chen, H., & Xu, Z. (2019). Detection, Tracking, and Geolocation of Moving Vehicle from UAV Using Monocular Camera. IEEE Access, 7, 101160–101170. https://doi.org/10.1109/ACCESS.2019.2929760.

Zheng, C., Jiang, J. Y., Zhou, Y., Young, S. D., & Wang, W. (2020). Social Media User Geolocation via Hybrid Attention. Research and Development in Information Retrieval, 12(July), 1641–1644. https://doi.org/10.1145/3397271.3401329.

Downloads

Published

2022-07-30

How to Cite

Nofirman, N. (2022). LAYANAN KUALITAS TINGGI GEOLOKASI: KAJIAN LITERATUR. JURNAL ILMIAH EDUNOMIKA, 6(2), 1049–1060. https://doi.org/10.29040/jie.v6i2.6126

Issue

Vol. 6 No. 2 (2022): EDUNOMIKA : Vol. 06, No. 02, 2022

Section

Articles

Citation Check