Dinamik
Vol 31 No 2 (2026)

Analisis Kelayakan Implementasi Titik Akses Virtual (VAP) sebagai Solusi Efisiensi Infrastruktur Jaringan untuk Usaha Mikro, Kecil, dan Menengah (UMKM) dari Perspektif Tekno-Ekonomi

Indah Ratu Aulia (Telkom University)
Nyoman Bogi Aditya Karna (Telkom University)
Sofia Naning Hertiana (Telkom University)



Article Info

Publish Date
01 Jul 2026

Abstract

Micro, Small, and Medium Enterprises (MSMEs) often face network infrastructure inefficiencies due to fragmented management and budget constraints. This study aims to analyze the feasibility of implementing Virtual Access Point (VAP) technology as a solution for network infrastructure efficiency in MSME shop clusters. Using a hybrid simulation approach, this study compares the performance between conventional infrastructure (Scenario A) and VAP-based integrated infrastructure (Scenario B). Technical evaluations were conducted using UniFi Design Center for signal propagation analysis and GNS3 for logical topology and network security validation. Economic analysis was performed using the Total Cost of Ownership (TCO) and Return on Investment (ROI) methods. The results showed that Scenario B was able to eliminate Co-Channel Interference, maintain signal stability in the range of -60 dBm to -65 dBm, and ensure data isolation between tenants through the IEEE 802.1Q (VLAN) protocol. From an economic perspective, the implementation of VAP reduces initial investment costs (CAPEX) by 32% and operational costs (OPEX) by 21.6% per year. With an ROI value of 102.36% and a payback period of 5.9 months, VAP technology has proven to be highly feasible as an efficient, secure, and profitable standard solution for MSME network infrastructure.

Copyrights © 2026






Journal Info

Abbrev

fti1

Publisher

Subject

Computer Science & IT

Description

The Jurnal DINAMIK aims to: Promote a comprehensive approach to informatics engineering and management incorporating viewpoints of different applications (computer graphics, computer networks and security, computer vision, computational intelligence, databases, big data, IT project management, and ...