Utilization of RSSI on Visitor's Cellphones in Calculating Distance to Wifi Transmitter in the Reading Room of the State Polytechnic of Malang Library

Authors

  • Monica Wahyuni State Polytechnic of Malang
  • Mila Kusumawardani State Polytechnic of Malang
  • Rachmad Saptono State Polytechnic of Malang

DOI:

https://doi.org/10.33795/jartel.v12i1.267

Keywords:

wifi transmitter, Positioning, Received-signal-strength-indicator, Libraries, Network

Abstract

The pandemic period caused by the coronavirus disease causes restrictions on the number of users in a room to minimize the spread, for example, libraries. The library is a room area that can cause virus transmission when crowds of visitors. A system is needed to provide information regarding the number of library visitors. Utilizing a network (wifi transmitter) available in the library can provide information on the number of visitors based on the number of network users in a room. Utilization of the network (wifi transmitter) can be in the form of a positioning system by utilizing the wifi signal beam received by the user in RSSI (Received Signal Strength Indicator). To calculate the estimated user position, a trilateration method is used based on the placement of three wifi transmitters. The library visitor positioning system consists of users as wifi transmitter users and admins. At the X-coordinate, the measuring point with a low deviation of the measurement value is indicated by points C and E with a value of 0.1. The large deviation of the measurement value is indicated by the P point of 4.5. At the Y coordinate, point O has a low deviation value of 1.25, and the largest deviation value is at point M of 5.6. The accuracy of the X coordinate shows a value of 97.647% and at the Y coordinate of 96.57%. Both coordinates have good accuracy for the points used as position measurements.

References

A. A. Masriwilaga, R. Munadi, and B. Rahmat, “Wireless Sensor Network for Monitoring Rice Crop Growth,” vol. 5, no. 3, pp. 47–52, 2018.

R. H. Yoga Perdana, N. Hidayati, A. W. Yulianto, V. Al Hadid Firdaus, N. N. Sari, and D. Suprianto, “Jig Detection Using Scanning Method Base On Internet Of Things For Smart Learning Factory,” in 2020 IEEE International IOT, Electronics and Mechatronics Conference (IEMTRONICS), 2020, pp. 1–5.

H. S. Nida, M. Faiqurahman, and Z. Sari, “Prototype Sistem Multi-Telemetri Wireless Untuk Mengukur Suhu Udara Berbasis Mikrokontroler ESP8266 Pada Greenhouse,” Kinet. Game Technol. Inf. Syst. Comput. Network, Comput. Electron. Control, vol. 2, no. 3, pp. 217–226, 2017.

Y. Pramitarini, T. N. Tran, and B. An, “Energy Consumption Location-Based QoS Routing Protocol for Vehicular Ad-Hoc Networks,” in International Conference on ICT Convergence, 2021, vol. 2021-Octob, pp. 1266–1270.

F. Rozi, H. Amnur, F. Fitriani, and P. Primawati, “Home Security Menggunakan Arduino Berbasis Internet Of Things,” INVOTEK J. Inov. Vokasional dan Teknol., vol. 18, no. 2, pp. 17–24, 2018.

U. Syafiqoh, S. Sunardi, and A. Yudhana, “Pengembangan Wireless Sensor Network Berbasis Internet of Things untuk Sistem Pemantauan Kualitas Air dan Tanah Pertanian,” J. Inform. J. Pengemb. IT, vol. 3, no. 2, pp. 285–289, 2018.

W. Puspitasari and H. Y. R. Perdana, “Real-time monitoring and automated control of greenhouse using wireless sensor network: Design and implementation,” 2018 Int. Semin. Res. Inf. Technol. Intell. Syst. ISRITI 2018, pp. 362–366, 2018.

R. H. Y. Perdana, Hudiono, M. Taufik, A. E. Rakhmania, R. M. Akbar, and Z. Arifin, “Hospital queue control system using Quick Response Code (QR Code) as verification of patient’s arrival,” Int. J. Adv. Comput. Sci. Appl., vol. 10, no. 8, 2019.

W. Puspitasari and H. Y. R. Perdana, “Real-time monitoring and automated control of greenhouse using wireless sensor network: Design and implementation,” in 2018 International Seminar on Research of Information Technology and Intelligent Systems, ISRITI 2018, 2018, pp. 362–366.

H. Darmono, R. H. Y. Perdana, and W. Puspitasari, “Observation of greenhouse condition based on wireless sensor networks,” in IOP Conference Series: Materials Science and Engineering, 2020, vol. 732, no. 1, doi: 10.1088/1757-899X/732/1/012107.

R. H. Y. Perdana, T. Van Nguyen, and B. An, “Deep neural network design with SLNR and SINR criterions for downlink power allocation in multi-cell multi-user massive MIMO systems,” ICT Express, no. January, 2022, doi: 10.1016/j.icte.2022.01.011.

R. H. Y. Perdana, T.-V. Nguyen, and B. An, “Deep Learning-based Power Allocation in Massive MIMO Systems with SLNR and SINR Criterions,” in 2021 Twelfth International Conference on Ubiquitous and Future Networks (ICUFN), 2021, pp. 87–92.

R. H. Y. Perdana, T. Nguyen, and B. An, “Deep Learning Design for Power Allocation in Multiuser Multicell Massive MIMO Systems,” in ??????? ????, 2021, pp. 1869–1871.

I. Alawe, A. Ksentini, Y. Hadjadj-Aoul, and P. Bertin, “Improving Traffic Forecasting for 5G Core Network Scalability: A Machine Learning Approach,” IEEE Netw., vol. 32, no. 6, pp. 42–49, 2018, doi: 10.1109/MNET.2018.1800104.

R. H. Y. Perdana, H. Hudiono, and A. F. N. Luqmani, “Water Leak Detection and Shut-Off System on Water Distribution Pipe Network Using Wireless Sensor Network,” 2019 Int. Conf. Adv. Mechatronics, Intell. Manuf. Ind. Autom. ICAMIMIA 2019 - Proceeding, pp. 297–301, 2019, doi: 10.1109/ICAMIMIA47173.2019.9223386.

H. Hudiono, M. Taufik, R. H. Y. Perdana, and W. R. Rohmah, “Design and implementation of centralized reading system on analog postpaid water meter,” in IOP Conference Series: Materials Science and Engineering, 2020, vol. 732, no. 1, doi: 10.1088/1757-899X/732/1/012102.

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Published

2022-03-31

How to Cite

[1]
M. Wahyuni, M. Kusumawardani, and R. Saptono, “Utilization of RSSI on Visitor’s Cellphones in Calculating Distance to Wifi Transmitter in the Reading Room of the State Polytechnic of Malang Library”, Jartel, vol. 12, no. 1, pp. 26-31, Mar. 2022.