Analysis of Common Interference in Home WI-FI Networks in RT 6 RW 2, Lawangan Daya Sub-District, and Efforts to Address It
Keywords:
Keywords: WI-FI Network Interference, Home WI-FI Network, Signal Interference, Quality of Service (QoS), WI-FI Network Management Efforts.Abstract
WI-FI network problems at home remain a common challenge often experienced by a number of users, especially in densely populated residential areas. This study aims to explain the various types of problems that often arise in domestic WI-FI networks in areas such as RT 6/RW 2, Lawangan Daya Village, as well as to identify corrective measures that can be taken by users. The analysis process was carried out by examining literature sources that discuss router performance, surrounding conditions, and usage methods that can affect network stability. The findings of the study reveal that WI-FI problems are usually triggered by several reasons, including interference from nearby houses, the router's suboptimal position, device weaknesses, and the simultaneous use of many devices. In addition, imperfect router settings also contribute to a decline in connection quality. Referring to these findings, several recommended steps to overcome this problem include rearranging the router position, selecting channels with minimal interference, updating the device system, and using additional tools such as repeaters or WI-FI mesh networks. Overall, this study offers practical insights into the elements that influence home Wi-Fi network quality and provides solutions that can be implemented without requiring significant modifications to the network structure.
Downloads
References
REFERENSI
[1] Masril, M., & Moulita, M. (2025). Features of Medan's Millennials and Z-Gens as Social Media Users. Dirasat: Human and Social Sciences. https://doi.org/10.35516/hum.v52i3.6267.
[2] Prasetyo Putra, F.E., et al, 2023, Mengenal Teknologi Jaringan Nirkabel Terbaru Teknologi 5G, Jurnal Sistim Informasi dan Teknologi, Vol.5 No. 2, 167, doi: https://doi.org/10.37034/jsisfotek.v5i1.232.
[3] Nurbaiti, N. (2023). Characteristics of Internet, Smartphone, and Social Media Usage among Generation Z in South Jakarta after the COVID-19 Pandemic. Journal of Health Sciences and Epidemiology. https://doi.org/10.62404/jhse.v1i3.26.
[4] Evita, N., Prestianta, A., & Asmarantika, R. (2023). Patterns of media and social media use in generation z in Indonesia. Jurnal Studi Komunikasi (Indonesian Journal of Communications Studies). https://doi.org/10.25139/jsk.v7i1.5230.
[5] Kharisma, B. (2022). Surfing alone? The Internet and social capital: evidence from Indonesia. Journal of Economic Structures, 11. https://doi.org/10.1186/s40008-022-00267-7.
[6] Prasetyo Putra, F.E, et al, "Application of Internet of Things Technology in Monitoring Water Quality in Fishponds", vol. 4, no. 1, 2024, doi: https://doi.org/10.47709/brilliance.v4i1.4231.
[7] Adya, T. (2024). IMPACT OF E-COMMERCE AND INTERNET USERS ON INDONESIA'S ECONOMIC GROWTH. International Conference of Business and Social Sciences. https://doi.org/10.24034/icobuss.v4i1.509.
[8] Nababan, H. (2024). Digital health divide in Indonesia: evidence from national-level data. The European Journal of Public Health, 34. https://doi.org/10.1093/eurpub/ckae144.426.
[9] Situmorang, A., Suryanegara, M., Gunawan, D., & Juwono, F. (2023). Proposal of the Indonesian Framework for Telecommunications Infrastructure Based on Network and Socioeconomic Indicators. Informatics, 10, 44. https://doi.org/10.3390/informatics10020044.
[10] Agustian, R., Agum & Nurpulaela, L. (2023). Analisis Coverage Area Jaringan Wi-Fi untuk Rumah di Kecamatan Cihampelas Menggunakan Metode Okumura Hatta. Jurnal Ilmiah Wahana Pendidikan. https://doi.org/10.5281/zenodo.10403881
[11] Sari, F., & Oktavia, T. (2023). Critical Factors in user Preferences for Internet Service Provider: A Factor Analysis Approach. International Journal of Emerging Technology and Advanced Engineering. https://doi.org/10.46338/ijetae0223_04.
[12] Prasetyo Putra, F.E. , et al, “Pemanfaatan Teknologi Wireless dan Mobile Network Berbasis 5G untuk Pemerataan Akses Jaringan di Indonesia”, Jurnal Informatika dan Teknologi, vol. 8, no. 2, 2025, doi: https://doi.org/10.24908/jit.v8i2.30559
[13] Matar, A., & Alkhawaldeh, A. (2022). Adoption of electronic cards using Wi-Fi platform services by clients of banking sector during COVID-19 pandemic. International Journal of Engineering Business Management, 14. https://doi.org/10.1177/18479790221112797.
[14] Sun, W., Lee, O., Shin, Y., Kim, S., Yang, C., Kim, H., & Choi, S. (2014). Wi-Fi could be much more. IEEE Communications Magazine, 52, 22-29. https://doi.org/10.1109/mcom.2014.6957139.
[15] Pahlavan, K., & Krishnamurthy, P. (2020). Evolution and Impact of Wi-Fi Technology and Applications: A Historical Perspective. International Journal of Wireless Information Networks, 28, 3 - 19. https://doi.org/10.1007/s10776-020-00501-8.
[16] Au, E., Wilhelmsson, L., Baykaş, T., & Kim, J. (2022). Guest Editorial: Recent and Future Evolution of Wi-Fi. IEEE Commun. Stand. Mag., 6, 8-11. https://doi.org/10.1109/mcomstd.2022.9855241.
[17] Prasetyo, F., Putra, E., Okky, R., Kusuma, F., Syam, A., & Efendy, S. (2024). Effect Of Distance On Wi-Fi Signal Quality In The Home Environment. Brilliance: Research of Artificial Intelligence. https://doi.org/10.47709/brilliance.v4i1.4319.
[18] Rabbani, A., Yacoub, R., & Marpaung, J. (2023). ANALYSIS THE IMPACT OF ENCLOSING VARIOUS MATERIALS ON THE STRENGTH OF WIFI SIGNAL RECEPTION. Journal of Electrical Engineering, Energy, and Information Technology (J3EIT). https://doi.org/10.26418/j3eit.v11i2.68584.
[19] Muratovic, J., Josic, K., & Papic, S. (2021). Analysis of the impact of electromagnetic interference on the performance of a household wireless network. 2021 44th International Convention on Information, Communication and Electronic Technology (MIPRO), 519-522. https://doi.org/10.23919/mipro52101.2021.9597120.
[20] Dudhat, A., Nusantoro, H., & Purba, A. (2022). Indoor Wireless Network Coverage Area Optimization. International Journal of Cyber and IT Service Management. https://doi.org/10.34306/ijcitsm.v2i1.86.
[21] Ashaari, M., Kassim, M., Rahman, R., & Mahmud, A. (2021). Performance Analysis on Multiple Device Connections of Small Office Home Office Network. Baghdad Science Journal. https://doi.org/10.21123/bsj.2021.18.4(suppl.).1457.
[22] Jin, M., Meng, J., Wu, W., & Liu, Y. (2024). Enhancing the Performance of Wi-Fi 7 Network via Investigation of Multi-Link and UORA. IEEE Communications Letters, 28, 2688-2692. https://doi.org/10.1109/lcomm.2024.3470904.
[23] Cullinan, J., Flannery, D., Harold, J., Lyons, S., & Palcic, D. (2021). The disconnected: COVID-19 and disparities in access to quality broadband for higher education students. International Journal of Educational Technology in Higher Education, 18. https://doi.org/10.1186/s41239-021-00262-1.
[24] Reddick, C., Enriquez, R., Harris, R., & Sharma, B. (2020). Determinants of broadband access and affordability: An analysis of a community survey on the digital divide. Cities (London, England), 106, 102904 - 102904. https://doi.org/10.1016/j.cities.2020.102904.
[25] Taneja, V., Chater, M., Comanzo, T., Bogdanov, P., & Zheleva, M. (2024). TVWS Network Resilience in Rural Towns: How External Factors Impact Network Performance and Social Factors Impact Network Longevity. Proceedings of the 13th International Conference on Information & Communication Technologies and Development. https://doi.org/10.1145/3700794.3700811.
[26] Prasetyo Putra, F.E. , et al, "Analisis Kinerja Jaringan 5G dalan Meningkatkan Konektivitas Internet of Things, Jurnal Informatika dan Teknologi Komputer, vol. 5, no.1, 2025, doi: https://doi.org/10.55606/jutek.v5i1.5836.
[27] F. P. E. Putra, D. A. M. Putra, A. Firdaus, and A. Hamzah, “Analisis Kecepatan Dan Kinerja Jaringan 5G (generasi ke 5) Pada Wilayah Perkotaan,” INFORMATICS Educ. Prof. J. Informatics, vol. 8, no. 1, p. 47, 2023, doi: https://doi.org/10.51211/itbi.v8i1.2439.
[28] Chen, W., & Filieri, R. (2024). Institutional forces, leapfrogging effects, and innovation status: Evidence from the adoption of a continuously evolving technology in small organizations. Technological Forecasting and Social Change. https://doi.org/10.1016/j.techfore.2024.123529.
[29] Prasetyo Putra, F.E, et al, "Wireless Network Design at Pamekasan Regency Public Library", vol.5, no. 1, 2025, doi: https://doi.org/10.47709/brilliance.v5i1.5876
[30] Singh, A., Sangal, A., & Rani, R. (2024). An AI Based Optimized Router Placement: A Comprehensive Review. 2024 4th International Conference on Advancement in Electronics & Communication Engineering (AECE), 799-805. https://doi.org/10.1109/aece62803.2024.10911093.
[31] Haron, A., Mansor, Z., Ahmad, I., & Maharum, S. (2021). The Performance of 2.4GHz and 5GHz Wi-Fi Router Placement for Signal Strength Optimization Using Altair WinProp. 2021 IEEE 7th International Conference on Smart Instrumentation, Measurement and Applications (ICSIMA), 25-29. https://doi.org/10.1109/icsima50015.2021.9526299.
[32] Prasetyo Putra, F.E., et al, "Analisis Komparasi Protokol Websocket dan MQTT dalam Proses Push Notification", vol.5, no.4, 2023, doi: https://doi.org/10.60083/jsisfotek.v5i4.325.
[33] Akhtar, J., Verma, V., & Kumar, A. (2024). Enhancing IoT Wi-Fi Networks Through QoS-QoE Correlation: A Random Forest Approach for Predictive Mean Opinion Score Modeling. 2024 IEEE Students Conference on Engineering and Systems (SCES), 1-6. https://doi.org/10.1109/sces61914.2024.10652576.
[34] Kalumbang, F., Farisky, A., Sumarsono, T., & Solehatin, S. (2023). Performance Analysis of Wi-Fi Wireless Networks In A Vortex Media Access And Reseller Broadband. Journal of Electronics Technology Exploration. https://doi.org/10.52465/joetex.v1i2.278.
[35] Mbonye, V., & Price, C. (2019). A model to evaluate the quality of Wi-Fi perfomance: Case study at UKZN Westville campus. 2019 International Conference on Advances in Big Data, Computing and Data Communication Systems (icABCD), 1-8. https://doi.org/10.1109/icabcd.2019.8851025.
[36] Ghadage, S., Joshi, S., & Thorat, S. (2022). Wi-Fi Technology. International Journal for Research in Applied Science and Engineering Technology. https://doi.org/10.22214/ijraset.2022.48112.
[37] Mitra, A., Ghosh, A., SibiChakkaravarthy, S., & DeviPriya, V. (2025). Blind Eye: Motion and Obstacle Detection Leveraging Wi-Fi. ArXiv, abs/2502.07493. https://doi.org/10.48550/arxiv.2502.07493.
[38] Prasetyo Putra, F.E., et al, "Analysis of Phishing Attack Trends, Impacts and Prevention Methods: Literature Strudy", vol. 4, no.1, 2024, doi: https://doi.org/10.47709/brilliance.v4i1.4357.
[39] Soto, P., Camelo, M., Mets, K., Wilhelmi, F., Góez, D., Fletscher, L., Gaviria, N., Hellinckx, P., Botero, J., & Latré, S. (2021). ATARI: A Graph Convolutional Neural Network Approach for Performance Prediction in Next-Generation WLANs. Sensors (Basel, Switzerland), 21. https://doi.org/10.3390/s21134321.
[40] Celaya-Echarri, M., Azpilicueta, L., López-Iturri, P., Aguirre, E., & Falcone, F. (2018). Performance Evaluation and Interference Characterization of Wireless Sensor Networks for Complex High-Node Density Scenarios. Sensors (Basel, Switzerland), 19. https://doi.org/10.3390/s19163516.
[41] Hussain, A., & Saqib, N. (2016). Effects of Implementing Adaptable Channelization in Wi-Fi Networks. Mob. Inf. Syst., 2016, 7494903:1-7494903:15. https://doi.org/10.1155/2016/7494903.
[42] Gamaliel, F., & dkk. (2023). Perancangan Jaringan WiFi Dengan Menggunakan Top Down Network Design. JIRE (Jurnal Informatika & Rekayasa Elektronika). vol 6. no 2. doi: http://e-journal.stmiklombok.ac.id/index.php/jire
[43] Aileen, A., Suwardi, A., & Prawiranata, F. (2021). WiFi Signal Strength Degradation Over Different Building Materials. Engineering, MAthematics and Computer Science (EMACS) Journal. https://doi.org/10.21512/emacsjournal.v3i3.7455.
[44] Gadasin, D., Shvedov, A., & Vakurin, I. (2020). Designing WI-FI Wireless Networks with High Density of Subscriber Service. 2020 Systems of Signals Generating and Processing in the Field of on Board Communications, 1-4. https://doi.org/10.1109/ieeeconf48371.2020.9078567.
[45] Lutfi, S., Kapita, S., Sirajuddin, H., & Muin, Y. (2023). Development of Adaptive Bandwidth Allocation Model Using PCQ for Network Performance Optimization. Technium: Romanian Journal of Applied Sciences and Technology. https://doi.org/10.47577/technium.v17i.10081.
[46] sinaga, Anisa, P., & dkk. (2023). Optimalisasi Jaringan Wifi (wireless fidelity) sebagai fasilitas Pendukung Akademik Mahasiswa (Studi Kasus di UINSU). Cognoscere: Jurnal Komunikasi dan Media Pendidikan. vol 2. no 4. doi: https://doi.org/10.61292/cognoscere.244
[47] Alanezi, M., Bouchekara, H., & Javaid, M. (2020). Optimizing Router Placement of Indoor Wireless Sensor Networks in Smart Buildings for IoT Applications. Sensors (Basel, Switzerland), 20. https://doi.org/10.3390/s20216212.
[48] Prasetyo Putra, F.E., et al, "Optimasi Keamanan DNS: Eksplorasi Optimal dengan Implementasi DNS Security Extension (DNSSEC)", vol. 8, no. 1, 2024, doi: https://doi.org/10.33395/remik.v8i1.13398.
[49] Adame, T., Carrascosa, M., Bellalta, B., Pretel, I., & Etxebarria, I. (2020). Channel Load Aware AP / Extender Selection in Home WiFi Networks Using IEEE 802.11k/v. IEEE Access, 9, 30095-30112. https://doi.org/10.1109/access.2021.3059473.
[50] Thangadorai, K., Bangaru, R., Sahu, M., Murugesan, K., Br, S., & Das, D. (2019). Intelligent Concept of Optimal WiFi Mesh Router Placement for Enhanced QoS. 2019 IEEE International Conference on Electronics, Computing and Communication Technologies (CONECCT), 1-6. https://doi.org/10.1109/conecct47791.2019.9012829.
Published
Issue
Section
License
Copyright (c) 2025 Wulidati Trixiana, Septiana Wulandari (Penulis)
This work is licensed under a Creative Commons Attribution 4.0 International License.
