Pattern Analysis on Wireless Network Coverage in DISPERKIM, South Sumatra
The study's focus on pattern analysis provides a data-driven approach to optimizing WI-FI networks, ensuring better connectivity and reliability for users within the South Sumatra Provincial Housing and Residential Area Office. These results have broader implications for the strategic deploy...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English English |
| Published: |
INTI International University
2024
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| Subjects: | |
| Online Access: | http://eprints.intimal.edu.my/2102/1/jods2024_36.pdf http://eprints.intimal.edu.my/2102/2/557 http://eprints.intimal.edu.my/2102/ http://ipublishing.intimal.edu.my/jods.html |
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| Summary: | The study's focus on pattern analysis provides a data-driven approach to optimizing WI-FI
networks, ensuring better connectivity and reliability for users within the South Sumatra Provincial
Housing and Residential Area Office. These results have broader implications for the strategic
deployment of WI-FI in similar environments. WI-FI technology, utilizing the IEEE 802.11a/b/g
wireless standard operating at 2.4 GHz, is ubiquitous in environments such as government offices,
private companies, entertainment venues, and educational institutions. The growing reliance on
WI-FI for internet access, driven by the proliferation of WI-FI-enabled devices, underscores the
importance of optimizing its deployment for efficient connectivity. This study examines the WIFI
signal patterns and range in the WLAN network at the South Sumatra Provincial Housing and
Residential Area Office, where suboptimal placement of WI-FI access points has hindered network
performance. By conducting a field survey and pattern analysis of signal distribution and coverage,
the research identifies critical gaps and inefficiencies in the current wireless setup. Employing the
action research methodology, the study progresses through four stages: diagnosis, action planning,
action tackling, and evaluation. The analysis of signal strength patterns and coverage data guides
targeted improvements to optimize WI-FI placement. Findings are expected to reveal how spatial
factors and interference impact signal distribution, offering actionable insights for enhancing
wireless network performance. |
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