%A NIM.: 22106050065 Muh Alwizariel Fauzil Syamil Faradhis
%O Ir. Muhammad Taufiq Nuruzzaman, STM. Eng., Ph.D.
%T ANALISIS PERFORMA DAN OPTIMALISASI ACCESS POINT DI FAKULTAS SAINS DAN TEKNOLOGI
%X The availability of a stable wireless network Wi-Fi in a high-density environment,
such as the Faculty of Science and Technology at UIN Sunan Kalijaga, plays an
important role in supporting academic activities. Although 40 Access Point (AP)
units have been installed, the existing network infrastructure still experiences
several problems, such as uneven signal distribution, blank spot areas, and unstable
connections during peak usage hours. This project aims to analyze the performance
of the existing Wi-Fi network based on the Received Signal Strength Indicator
(RSSI), Signal-to-Noise Ratio (SNR), and channel interference parameters, as well
as to design an optimization scenario for AP configuration and placement without
adding new hardware devices.
This project uses the Continuous Passive Site Survey method with the help of
Ekahau AI Pro software. Data collection was carried out in four different time
periods to compare network performance under low traffic conditions during
Ramadan and high traffic conditions after Eid al-Fitr. The optimization process
adopts the PPDIOO (Prepare, Plan, Design, Implement, Operate, Optimize)
framework by adjusting AP placement, channel planning, and transmit power
configuration.
The evaluation results show that the existing network experiences severe saturation
and Co-Channel Interference (CCI) in the 2.4 GHz frequency band. In addition, the
5 GHz frequency band experiences coverage reduction due to signal attenuation
caused by reinforced concrete walls. Through redesign simulation, this project
proposes an optimization solution to ensure the network coverage meets the Quality
of Service (QoS) standards, namely RSSI ≥ -65 dBm and SNR ≥ 25 dB. The final
results of this project provide several technical recommendations, including AP
relocation, frequency management, band steering activation, and transmit power
adjustment to improve network stability and user access quality.
%K Access Point, Ekahau AI Pro, High Density, PPDIOO, RSSI, SNR,
Wireless Site Survey
%D 2026
%I UIN SUNAN KALIJAGA YOGYAKARTA
%L digilib76866