Analisis Performa Dan Optimasi Bandwidth Jaringan Wifi Di Lingkungan Kampus
Keywords:
WiFi Network, Bandwidth Optimization, Network Performance, Esa Unggul UniversityAbstract
WiFi networks have become critical components in supporting academic and administrative activities in higher education institutions. Esa Unggul University, as a growing educational institution, faces challenges in ensuring the quality and reliability of its WiFi network as the number of users and bandwidth requirements increase. This study analyses the performance and optimises the bandwidth of the WiFi network in the Esa Unggul University environment. Through a qualitative approach with a case study, this research collects data through in-depth interviews, direct observations, and technical measurements. Analysis is conducted on access speed, connection stability, and bandwidth capacity in various campus areas. The research results identify several critical points affecting network performance and propose optimisation strategies that include infrastructure upgrades, configuration adjustments, and implementation of effective bandwidth management. The findings and recommendations from this study are expected to improve the quality of internet service at Esa Unggul University, better support academic and administrative activities, and provide valuable insights for other higher education institutions in managing their WiFi network infrastructure.
References
Zhang, C., Hei, X., Bensaou, B. (2019). A Measurement Study of Campus WiFi Networks Using WiFiTracer. In Y. Cai, Y. Ishikawa, & J. Xu (Eds.), Web and Big Data (pp. 520-528).
Duan, Y., Yang, R., Duan, S. (2020) Optimization of a WiFi Wireless Network that Maximizes the Level of Satisfaction of Users and Allows the Use of New Technological Trends in Higher Education Institutions. In Á. Rocha, H. Adeli, L. P. Reis, & S. Costanzo (Eds.), New
Hernández-Romero, C. A., Peña-Casas, J. A., & Escamilla-Ambrosio, P. J. (2019). Optimization of a WiFi Wireless Network that Maximizes the Level of Satisfaction of Users and Allows the Use of New Technological Trends in Higher Education Institutions. In Á. Rocha, H. Adeli, L. P. Reis, & S. Costanzo (Eds.), New
Duan, Y., Yang, R., Duan, S. (2020) Optimization of a WiFi Wireless Network that Maximizes the Level of Satisfaction of Users and Allows the Use of New Technological Trends in Higher Education Institutions. In Á. Rocha, H. Adeli, L. P. Reis, & S. Costanzo (Eds.), New Knowledge in Information Systems and Technologies (pp. 313-323).
Huawei Technologies Co., Ltd. (2012). Typical Networking Architectures for Campus Networks and Case Practice. In Y. Wang & X. Zhang (Eds.), Internet of Things (pp. 362-367).
Del-Valle-Soto, C., Mex-Perera, C., Nolazco-Flores, J. A., Velázquez, R., & Rossa-Sierra, A. (2019). Smart Campus: An Experimental Performance Comparison of Collaborative and Cooperative Schemes for Wireless Sensor Network. Energies, 12(3), 562.
Jiang, M., Li, M., Li, Q., Peng, M., & Zhang, C. (2018). Downlink Radio Resource Scheduling for OFDMA Systems with Hybrid Beamforming. In M. S. Obaidat & P. Lorenz (Eds.), E-Business and Telecommunications (pp. 3-22).
Chen, Z., Liu, L., & Pei, Y. (2018). Uplink Performance Analysis in D2D-enabled Cellular Networks with Clustered Users. In W. Zhang, X. Hu, & S. Li (Eds.), Cloud Computing and Security (pp. 276-285).
Qin, C., Chen, Z., Xu, Y., & Pei, Y. (2018). Exploiting Device-to-Device (D2D) Transmission Strategy for Throughput Enhancement in WLANs. In W. Zhang, X. Hu, & S. Li (Eds.), Cloud Computing and Security (pp. 286-295)
Balamurugan, B., Sengottaiyan, N., Madhanamohan, K., & Latchoumi, T. P. (2020). Cross layered cryptography based secure routing for IoT-enabled smart healthcare system. Journal of Ambient Intelligence and Humanized Computing, 11(12), 6109-6120.
Harchol, Y., Mushtaq, A., McCauley, J., Panda, A., & Shenker, S. (2018). CESSNA: Resilient edge-computing. Proceedings of the 2018 Workshop on Mobile Edge Communications,1-6.
https://doi.org/10.1145/3229556.3229557
Narayanan, A., Ramadan, E., Carpenter, J., Liu, Q., Liu, Y., Qian, F., & Zhang, Z. L. (2020). A first look at commercial 5G performance on smartphones. Proceedings of The Web Conference 2020, 894-905. https://doi.org/10.1145/3366423.3380169
Schmitt, P., Bronzino, F., Ayoubi, S., Martins, G., Beste, R., & Feamster, N. (2021). Predicting Internet service quality using large-scale measurements. IEEE/ACM Transactions on Networking, 29(5), 2316-2329. https://doi.org/10.1109/TNET.2021.3078607
Han, B., Qian, F., Ji, L., & Gopalakrishnan, V. (2019). MP-DASH: Adaptive video streaming over preference-aware multipath. IEEE/ACM Transactions on Networking, 27(4), 1491-1504. https://doi.org/10.1109/TNET.2019.2924910
Zhang, Y., Zheng, G., Buehrer, R. M., & Arslan, H. (2022). Anticipatory mobility management for 6G: AI-enabled contextual intelligence. IEEE Vehicular Technology Magazine, 17(1), 51-59. https://doi.org/10.1109/MVT.2021.3121599
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