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Analysis of WiFi Network Performance Using Wireshark Based on QoS Parameters: A Case Study of IndiHome Network Deska Rohendi; Abdul Nizar; Aisyah Aryandani; Ari Rudiyan
Secure And Knowledge-Intelligent Research in Cybersecurity And Multimedia (SAKIRA) Vol. 4 No. 01 (2026): Emerging Issues in Digital Technology, Social Media, Cybersecurity, and Inform
Publisher : Universitas Islam Al-Azhar Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36679/s4kira.v4i1.80

Abstract

The rapid development of internet network technology demands reliable service quality so that user activities can run optimally. This study aims to analyze the performance of the IndiHome WiFi network with a speed of 75 Mbps based on Quality of Service (QoS) parameters, which include delay, throughput, packet loss, and jitter. The method used is descriptive quantitative by directly collecting data through the network packet capture process using the Wireshark version 4.6.4 application. Data collection was carried out through three measurement sessions for each internet activity, namely browsing, streaming, and downloading, to generate network traffic. The results showed that the average delay values for browsing, streaming, and download activities were 18.85 ms, 23.87 ms, and 31.61 ms, respectively. The average throughput values obtained were 12.41 Mbps for browsing, 28.55 Mbps for streaming, and 61.84 Mbps for download. The average packet loss values were 0.10%, 0.35%, and 0.59%, while the average jitter values were 3.21 ms, 6.83 ms, and 9.88 ms for each activity. Based on the TIPHON standard, the delay, packet loss, and jitter parameters are categorized as Very Good, while the throughput for browsing and streaming activities is categorized as Medium due to the nature of the activities that do not require full bandwidth usage. Overall, the IndiHome WiFi network with a speed of 75 Mbps has Very Good service quality and is suitable for supporting various digital activities simultaneously.
The Impact of Dark UX on E-Commerce Consumer Decisions: A Qualitative Analysis and Ethical Design Recommendations Hendri Purnomo; Firmansyah; Ari Rudiyan
Hanif Journal of Information Systems Vol. 4 No. 1 (2026): August Edition
Publisher : Ilmu Bersama Center

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56211/hanif.v4i1.93

Abstract

Dark UX is an interface design practice that manipulates users into taking actions that benefit the service provider, often at the expense of the consumer. This study explores how dark UX influences consumer decision-making in e-commerce applications, identifies user issues, and develops recommendations for developers. A qualitative approach with purposive sampling was used to select 15 informants aged 25-45 who actively shop through e-commerce applications. Data were collected through in-depth semi-structured interviews and document analysis, then analyzed using thematic coding using Miles and Huberman's interactive model. Findings indicate that misleading urgency (limited stock notifications), sneak-into-basket (automatic item additions), and roach motel patterns (cancellation barriers) induce significant psychological distress, particularly the fear of missing out, which drives impulse purchases. Hidden costs that emerge only at the checkout stage and manipulated product reviews also erode user trust. The study recommends the implementation of ethical design principles, including up-front price transparency, easy-to-understand terms and conditions, real-time behavioral interventions, and regular dark UX audits. Stronger regulations and digital literacy programs are needed to create a healthy and sustainable e-commerce ecosystem.