Analysis of Wifi Signal Distribution and Access Point Placement Using Site Survey and Heatmap Visualization: A Case Study of A Government Office Building
DOI:
https://doi.org/10.33474/infotron.v6i1.24938Keywords:
WiFi, heatmap, RSSI, SNR, Access PointAbstract
WiFi networks are an important infrastructure in supporting digital-based administrative and public service activities in government office environments. However, WiFi signal distribution in Manukan Kulon Village is not yet evenly distributed, resulting in several areas with poor signal quality (dead zones) that affect connection stability and employee work effectiveness. This study aims to analyze the distribution and mapping of WiFi signals to determine the most optimal position for Access Points (APs) in the office building. Data collection was carried out using the site survey method with a walk test approach at several predetermined measurement points on the 1st and 2nd floors of the Manukan Kulon Village office building. The measurement process was carried out using the NetSpot and WiFi Analyzer applications to obtain network signal quality data based on the Received Signal Strength Indicator (RSSI) and Signal to Noise Ratio (SNR) parameters. The measurement data was then analyzed and visualized in the form of a heat map to illustrate the distribution of WiFi signal strength in each measurement area. The results showed that the placement of access points had a significant effect on the quality and even distribution of WiFi signals in the study area. On the first floor, placing an AP in the Lactation Room resulted in an average RSSI value of -58.83 dBm and an SNR value of 31.17 dB, indicating an improvement in signal quality and a more even network distribution compared to the previous conditions. Meanwhile, on the second floor, placing the AP in the PosKesKel Room resulted in an RSSI value of -54.17 dBm and an SNR value of 35.83 dB, indicating excellent signal quality in that area. Based on these analysis results, this study recommends more optimal Access Point placement positions on each floor to minimize areas with weak signals and improve the stability and quality of the WiFi network in the Manukan Kulon Village environment.
References
G. H. Djatmiko, O. Sinaga, and S. Pawirosumarto, “Digital Transformation and Social Inclusion in Public Services: A Qualitative Analysis of E-Government Adoption for Marginalized Communities in Sustainable Governance,” Sustainability (Switzerland), vol. 17, no. 7, Apr. 2025, doi: 10.3390/su17072908.
Z. Wei, Z. Zhou, S. Yu, and J. Chen, “Enhanced Indoor Positioning Using RSSI and Time-Distributed Auto Encoder-Gated Recurrent Unit Model,” Sensors, vol. 24, no. 15, Aug. 2024, doi: 10.3390/s24154815.
H. Hosseini, M. Taleai, and S. Zlatanova, “NSGA-II based optimal Wi-Fi access point placement for indoor positioning: A BIM-based RSS prediction,” Autom. Constr., vol. 152, p. 104897, 2023, doi: https://doi.org/10.1016/j.autcon.2023.104897.
A. Abdullah, O. A. Aziz, R. A. Rashid, M. Haris, and M. A. Sarijari, “Robust and fast algorithm design for efficient Wi-Fi fingerprinting based indoor positioning systems,” Journal of King Saud University - Computer and Information Sciences, vol. 35, no. 8, p. 101696, 2023, doi: https://doi.org/10.1016/j.jksuci.2023.101696.
R. Raman, V. Kumar, B. G. Pillai, D. Rabadiya, P. K. Bhoyar, and N. Kumbhojkar, “Enhancing Wi-Fi Signal Performance via Strategic Access Point Placement using Genetic Algorithm Approach,” in 2024 Second International Conference on Data Science and Information System (ICDSIS), 2024, pp. 1–5. doi: 10.1109/ICDSIS61070.2024.10594542.
I. Made, W. Y. Yana, G. Arna, J. Saskara, I. Bagus, and N. Pascima Pertama, “Optimalisasi Coverage Area Jaringan WiFi Di SMK N 1 Tegalalang Dengan Menggunakan NetSpot,” 2025.
J. Penerapan, T. Informasi, D. Komunikasi, A. Maulana, and W. Sulistyo, “IT-EXPLORE ANALISIS KUALITAS SIGNAL WIRELESS MENGGUNAKAN RECEIVED SIGNAL STRENGTH INDICATOR (RSSI) DI SMP NEGERI 10 SALATIGA,” 2024.
S. Ningsih, R. Satra, and A. W. M. Gaffar, “Analisis Penempatan Access Point Pada Jaringan Wireless LAN Fakultas Agama UMI,” Jurnal Minfo Polgan, vol. 13, no. 2, pp. 2463–2472, Jan. 2025, doi: 10.33395/jmp.v13i2.14510.
A. Muhammad Rizky, M. Putri Pratiwi, A. Chairunnisa, I. Azzahra Aiko, and A. Ariesmansyah, “Iftitah Azzahra Aiko,” Andre Ariesmansyah INNOVATIVE: Journal Of Social Science Research, vol. 5, 2025.
A. P. Sinaga, I. Syahputra, Melati, and Nurbaiti, “Optimalisasi Jaringan Wifi (Wireless Fidelity) sebagai Fasilitas Pendukung Akademik Mahasiswa (Studi Kasus di UINSU),” Cognoscere: Jurnal Komunikasi dan Media Pendidikan, vol. 2, no. 4, Dec. 2024, doi: 10.61292/cognoscere.244.
F. Imansyah, D. Suryadi, and P. Studi Teknik Elektro Jurusan Teknik Elektro, “ANALISIS PERFORMANSI JARINGAN WIFI UNTAN DI AREA FAKULTAS TEKNIK UNIVERSITAS TANJUNGPURA MENGGUNAKAN METODE WALK TEST.”
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