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All Journal TEKNIK Scientific Journal of Informatics
Nugraheni, Dinar
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Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Engineering

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Evaluation of High-Performance Interference Canceller to Boost the Error Performance of The Wi-Fi 5 IEEE 802.11ac Syafei, Wahyul Amien; Hidayatno, Achmad; Nurhayati, Oky Dwi; Nugraheni, Dinar
TEKNIK Vol. 45, No. 1 (2024): May 2024
Publisher : Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/teknik.v45i1.60252

Abstract

The Wi-fi 5 IEEE 802.11ac can achieve throughput up to 6,933 Mbps by occupying 160MHz of bandwidth in each eight spatial streams with 256-QAM. It provides not only very high throughput but also high performance of wireless communications. However, due to the use of multiple antennas at both transmitter and receiver side which operate in the same frequency band; it experiences many interference signals. Therefore, a high-performance interference canceller is highly required to cancel these interferences and get the desired information back. The conventional interference cancellers are based on linear method, i.e. zero forcing and minimum mean square error. Both are simple but low in performance. This paper presents evaluation of a high-performance interference canceller based on maximum likelihood detection to boost the error performance of the wi-fi 5. Run test under in-door channel model demonstrates the superiority of this interference canceller. For target bit error rate of 10-4, it dramatically boosts the error performance by 16 dB and 17,5 dB compared to linear methods by the cost of very high complexity.
User Experience Improvement (MSMEs and Buyers) Mobile AR Using Design Thinking Methods Dwiyanasari, Desty; Nurhayati, Oky Dwi; Surarso, Bayu; Nugraheni, Dinar
Scientific Journal of Informatics Vol. 12 No. 2: May 2025
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/sji.v12i2.24088

Abstract

Purpose: This research aims to improve the User Experience (UX) of Augmented Reality (AR) mobile applications for MSMEs and buyers through the Design Thinking method. This research solves the problem of suboptimal UX in AR-based mobile applications. This study hypothesizes that the application of Design Thinking can result in significant improvements in the UX of AR mobile applications, which is evidenced by an increase in heuristic evaluation scores. Methods: The Design Thinking approach (Empathize, Define, Ideate, Prototype, Test) is implemented. Data were collected through interviews, observations, and heuristic evaluation questionnaires. Result: Initial heuristic testing showed several usability problems in the developed AR mobile applications, such as Help and Documentation (H10), Recognition Rather than Recall (H6), and Error Prevention (H5). After the application of the Design Thinking method and design iteration, the heuristic testing showed that the results of the evaluation comparison before and after the improvement showed a high effectiveness of the corrective actions taken, with an average decrease in severity score of 37% based on the Nielsen scale (0–4), indicating that the most critical and major issues were successfully reduced to cosmetic or minor levels. Novelty: This research contributes in the form of a practical framework to improve the UX of AR mobile applications for MSMEs and buyers by utilizing the Design Thinking method. The results of this research can be a reference for developers in designing user-friendly AR mobile applications.
Co-Authors Achmad Hidayatno Bayu Surarso Dwiyanasari, Desty Oky Dwi Nurhayati Wahyul Amien Syafei