Optimasi Kualitas Jaringan WLAN Berdasarkan Coverage Area dan Jumlah Pengguna di Fakultas Teknologi Industri UNISSULA

WLAN is a wireless telecommunications network in the process of distributing data or information. This network is easier and economical to build because without having to do the design of cable lines and no need for cables as devices. In the main building of the Faculty of Industrial Technology UNIS...

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Main Authors: Destra Kurniatama Jatmiko, Budi Pramono Jati, Jenny Putri Hapsari
Format: Article
Language:Indonesian
Published: Universitas Semarang 2021-05-01
Series:Elektrika
Subjects:
Online Access:https://journals.usm.ac.id/index.php/elektrika/article/view/2989
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author Destra Kurniatama Jatmiko
Budi Pramono Jati
Jenny Putri Hapsari
author_facet Destra Kurniatama Jatmiko
Budi Pramono Jati
Jenny Putri Hapsari
author_sort Destra Kurniatama Jatmiko
collection DOAJ
description WLAN is a wireless telecommunications network in the process of distributing data or information. This network is easier and economical to build because without having to do the design of cable lines and no need for cables as devices. In the main building of the Faculty of Industrial Technology UNISSULA already has a WLAN network, but there are blankspots in several areas. The layout and number of Access Points (AP) greatly affect the quality of the WLAN signal, besides the number of users. Optimization is done by comparing the number of AP exiting with the number of APs based on the coverage area and number of users. The parameters used for network quality are signal strength more than -75 dBm and Signal to Noise Ratio (SNR) of more than 25 dB. Retrieval of existing network quality data with walktest method using the Ekahau Site Survey software. The quality of signal strength and SNR based on the coverage area is calculated using the COST 231 Multiwall method, while those based on the number of users are calculated using the ratio of Airtime per Device (APD) to Number of Device (NoD). The next step, simulating the AP layout using the Ekahau Site Survey software. The research concluded that each floor only requires 2 pieces AP. The percentage value of signal strength> -75 dBm after optimization is 86%, 89.8%, and 87.4% for floors 1, 2, and 3 respectively. While the SNR percentage values> 25 dB after optimization are 81.1%, 86.3%, and 84.5% for floors 1, 2, and 3 respectively.
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spelling doaj.art-11567863102541168671c92b545956c92023-11-30T03:58:46ZindUniversitas SemarangElektrika2085-05652021-05-0113171210.26623/elektrika.v13i1.29891931Optimasi Kualitas Jaringan WLAN Berdasarkan Coverage Area dan Jumlah Pengguna di Fakultas Teknologi Industri UNISSULADestra Kurniatama Jatmiko0Budi Pramono Jati1Jenny Putri Hapsari2Fakultas Teknologi Industri dan Universitas Islam Sultan Agung SemarangFakultas Teknologi Industri dan Universitas Islam Sultan Agung SemarangFakultas Teknologi Industri dan Universitas Islam Sultan Agung SemarangWLAN is a wireless telecommunications network in the process of distributing data or information. This network is easier and economical to build because without having to do the design of cable lines and no need for cables as devices. In the main building of the Faculty of Industrial Technology UNISSULA already has a WLAN network, but there are blankspots in several areas. The layout and number of Access Points (AP) greatly affect the quality of the WLAN signal, besides the number of users. Optimization is done by comparing the number of AP exiting with the number of APs based on the coverage area and number of users. The parameters used for network quality are signal strength more than -75 dBm and Signal to Noise Ratio (SNR) of more than 25 dB. Retrieval of existing network quality data with walktest method using the Ekahau Site Survey software. The quality of signal strength and SNR based on the coverage area is calculated using the COST 231 Multiwall method, while those based on the number of users are calculated using the ratio of Airtime per Device (APD) to Number of Device (NoD). The next step, simulating the AP layout using the Ekahau Site Survey software. The research concluded that each floor only requires 2 pieces AP. The percentage value of signal strength> -75 dBm after optimization is 86%, 89.8%, and 87.4% for floors 1, 2, and 3 respectively. While the SNR percentage values> 25 dB after optimization are 81.1%, 86.3%, and 84.5% for floors 1, 2, and 3 respectively.https://journals.usm.ac.id/index.php/elektrika/article/view/2989wlan, access point, signal strength, snr
spellingShingle Destra Kurniatama Jatmiko
Budi Pramono Jati
Jenny Putri Hapsari
Optimasi Kualitas Jaringan WLAN Berdasarkan Coverage Area dan Jumlah Pengguna di Fakultas Teknologi Industri UNISSULA
Elektrika
wlan, access point, signal strength, snr
title Optimasi Kualitas Jaringan WLAN Berdasarkan Coverage Area dan Jumlah Pengguna di Fakultas Teknologi Industri UNISSULA
title_full Optimasi Kualitas Jaringan WLAN Berdasarkan Coverage Area dan Jumlah Pengguna di Fakultas Teknologi Industri UNISSULA
title_fullStr Optimasi Kualitas Jaringan WLAN Berdasarkan Coverage Area dan Jumlah Pengguna di Fakultas Teknologi Industri UNISSULA
title_full_unstemmed Optimasi Kualitas Jaringan WLAN Berdasarkan Coverage Area dan Jumlah Pengguna di Fakultas Teknologi Industri UNISSULA
title_short Optimasi Kualitas Jaringan WLAN Berdasarkan Coverage Area dan Jumlah Pengguna di Fakultas Teknologi Industri UNISSULA
title_sort optimasi kualitas jaringan wlan berdasarkan coverage area dan jumlah pengguna di fakultas teknologi industri unissula
topic wlan, access point, signal strength, snr
url https://journals.usm.ac.id/index.php/elektrika/article/view/2989
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AT budipramonojati optimasikualitasjaringanwlanberdasarkancoverageareadanjumlahpenggunadifakultasteknologiindustriunissula
AT jennyputrihapsari optimasikualitasjaringanwlanberdasarkancoverageareadanjumlahpenggunadifakultasteknologiindustriunissula