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Bryan Noviantara
Universitas Muria Kudus
Civil Engineering, Building, Construction & Architecture Computer Science & IT Electrical & Electronics Engineering Industrial & Manufacturing Engineering Other

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LOCATION-TAG-BASED DECISION SUPPORT SYSTEM FOR WI-FI ACCESS POINT UPGRADES USING THE SAW METHOD Bryan Noviantara; Supriyono; Diana Laily Fithri
Jurnal Disprotek Vol. 17 N0. 2 (2026)
Publisher : Universitas Islam Nahdlatul Ulama Jepara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34001/jdpt.v172.9900

Abstract

Wi-Fi service quality is an important factor in supporting operations and customer satisfaction at internet service providers. CV Piyuen Net still faces obstacles in determining access points that need to be upgraded because the evaluation process is done manually. This study aims to build a Decision Support System (DSS) to determine access point upgrade priorities using the Simple Additive Weighting (SAW) method. The criteria used include Wi-Fi Signal Strength, Number of Active Users, Bandwidth Usage, Signal Interference Level, Access Point Age, and Network Connection Quality. The system was developed using the Extreme Programming (XP) method and utilizes location tags to facilitate access point identification. The Black Box testing results showed that all system functions ran as required with a 100% success rate, while the SAW method was able to generate objective access point upgrade priority recommendations based on the obtained preference values. Thus, the system can help improve the effectiveness of decision-making and the quality of network services at CV Piyuen Net.
Co-Authors Diana Laily Fithri Supriyono