Analisis Penempatan Node Sensor Terhadap Jarak Pengambilan Data Pada Media Tanah

https://doi.org/10.22146/ijeis.41017

Rahman Faisal(1*), Roghib Muhammad Hujja(2)

(1) Program Studi Elektronika dan Instrumentasi, FMIPA UGM, Yogyakarta
(2) Departemen Ilmu Komputer dan Elektronika, FMIPA UGM, Yogyakarta
(*) Corresponding Author

Abstract


Badan Nasional Penanggulangan Bencana (BNPB) describes the number of casualties, property and environment resulting from landslides. Wireless sensor network technology can minimize the loss of life, property and environment [1, 2]. Wireless sensor networks are prone to interference, especially in data transmission. Transmission of wireless sensor data can be disrupted if material is blocked. Slides that are easily landslide in Indonesia consist mainly of soil material [3]. Soil is one material that can interfere with wireless sensor data transmission and is influenced by aspects such as temperature, weather, soil composition, soil moisture, and soil homogeneity [4, 5]. This study focuses on analyzing the effect of sensor node placement on data transmission distance on WiFi-based soil material. The results of the analysis of the placement of sensor nodes planted in the ground resulted in an average percentage attenuation of signal strength every 5 cm depth increase in soil material was 4.90%.

Keywords


data transmission; soil; Sensor node

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References

[1] T. Hidayat, “Sistem Pendeteksi Dini Longsor Menggunakan Teknologi Wireless Sensor Network (WSN),” Jurnal Teknik Elektro ITP, vol. 6, no. 1, hlm. 87–92, Feb 2017.

[2] W. I. Lesmana dan M. C. Wibowo, “Penerapan Wireless Sensor Network (Wsn) Dengan Topologi Tree Pada Pemantauan Tanah Longsor,” vol. 13, no. 1, hlm. 6, 2015.

[3] S. Adinandra, “Wireless Sensor Network Untuk Pengumpulan Data Bergerak Pada Sistem Informasi Medis,” hlm. 8, 2013.

[4] S. Barai, D. Biswas, dan B. Sau, “Estimate distance measurement using NodeMCU ESP8266 based on RSSI technique,” 2017, hlm. 170–173.

[5] A. R. Silva dan M. C. Vuran, “Communication with Aboveground Devices in Wireless Underground Sensor Networks: An Empirical Study,” dalam 2010 IEEE International Conference on Communications, Cape Town, South Africa, 2010, hlm. 1–6.

[6] I. Santosa, “Karakteristik Propagasi di Outdoor berdasarkan Analisis RSSI pada Jaringan Sensor Nirkabel,” vol. 1, no. 3, hlm. 10, 2015.

[7] W. F. Dewantara, S. R. Akbar, dan R. Primananda, “Implementasi Light Painting Photography Dalam Analisis Cakupan Jaringan Wireless LAN Menggunakan Perangkat Berbasis Wemos D1,” hlm. 11.

[8] M. Subchan dan A. Goeritno, “Kinerja Router pada Jaringan Nirkabel untuk Penentuan Jarak Jangkauan Sinyal,” hlm. 12, 2017.

[9] P. W. Ginta, “Analisa dan Implementasi Wireless Extension Point dengan SSID (Service Set Identifier),” vol. 13, no. 1, hlm. 11, 2017.

[10] “Experiment measurements of RSSI for wireless underground sensor network in soil.” [Daring]. Tersedia pada: https://www.researchgate.net/publication/325626609_Experiment_measurements_of_RSSI_for_wireless_underground_sensor_network_in_soil. [Diakses: 31-Okt-2018].



DOI: https://doi.org/10.22146/ijeis.41017

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