OPTIMIZATION OF WI-FI ACCESS POINT PLACEMENT USING GENETIC ALGORITHM: A CASE STUDY OF WIFI.ID PT TELKOM INDONESIA, TBK
DOI:
https://doi.org/10.17977/um068.v6.i1.2026.4Keywords:
Access Point, Artificial Intelligence, Algorithm Genetics, Telkom Indonesia, Tbk, WiFi.IdAbstract
The need for WiFi use in the era of the Covid-19 pandemic increased sharply. PT. Telkom Indonesia is one of the state-owned enterprises that provide super-fast internet services. One of its flagship products is WiFi.Id service up to 100 Mbps. But there is often an Access Point Crisis for installing new WiFi.Id. Because it is less than optimal in installing Access Point WiFi.Id, this research aims to optimize the location of WiFi.Id. The study used a Geographic Information System (GIS)-based genetics algorithm application to map out which locations were not potential. The Genetic Algorithm results are in population and generation in location coordinates with the best fitness costs. This research can be used to potentially secure asset access points, overcome access point crises and can be used to increase revenue PT. Telkom Indonesia, Tbk. The accuracy rate of application systems using genetic algorithms to map productive locations with an average accuracy rate of 84%.
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