Implementasi Jaringan Sensor Nirkabel untuk Monitoring Kualitas Udara secara Real Time
Abstrak
Pada sistem monitoring lingkungan, untuk mendapat hasil yang akurat dan maksimal diperlukan diperlukan banyak faktor dan parameter-parameter berupa informasi tentang kondisi lingkungan.. Kebanyakan observasi yang dilakukan sebelumnya untuk memperoleh informasi tentang lingkungan, denganmengambil di lapangan. Namun sering kali, kendala yang muncul selama melakuakan pengambilan data adanya perubahan fenomena di lingkungan tersebut. Sehingga hal ini menyebabkan performansi yang tidak efisien dan tidak praktis. Hal ini akan membutuhkan biaya yang besar dan waktu yang lama bahkan akan membahayakan.Dengan bekembangnya teknologi Jaringan Sensor Nirkabel (JSN) memungkinkan peneliti untuk mendapat informasi yang maksimal tanpa harus berada di area sensor. Keuntungan lainnya yang bisa diperoleh dari teknologi JST adalah informasi dapat diakses dari jarak jauh, sederhana, dan ringkas karena tidak perlu ada instalasi kabel yang rumit dan dalam kondisi geografi tertentu sangat menguntungkan dibanding Wired Sensor. Pada penelitian ini merancang sebuah aplikasi monitoring lingkungan untuk pemantauan cuaca, yang bertujuan untuk memonitoring kondisi lingkungan disekitar seperti kadar suhu dan kelembaban, kadar CO2 dan intensitas hujan serta mengamati data-data pada sensor yang digunakan pada Jaringan Sensor Nirkabel atau Wireless Sensor Network. Sistem monitoring ini diterapkan pada beberapa sensor cuaca seperti sensor suhu dan kelembaban, sensor kadar gas CO2 dan sensor hujan. Pengembangan JSN Dalam Sistem Monitoring Lingkungan mempunyai kemampuan memonitoring keadaan lingkungan yang sebenarnya dan dapat menampilkan data-data dari beberapa sensor cuaca yang digunakan pada perangkat lunak..Referensi
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[4] S. R. B. Prabhu, M. PRADEEP, and E. GAJENDRAN, “Monitoring Climatic Conditions Using Wireless Sensor,” A Multidiscip. J. Sci. Res. Educ., vol. 3, no. 1, pp. 179–184, 2017.
[5] V. Garg and M. Jhamb, “A Review of Wireless Sensor Network on Localization Techniques,” Int. J. Eng. Trends Technol., vol. 4, no. April, pp. 1049–1053, 2013.
[6] S. János and G. Martinović, “WSN Implementation in the Greenhouse Environment Using Mobile Measuring Station,” vol. 1, no. 1, pp. 41–48, 2010.
[7] G. Mendez, “A Wi-Fi based Smart Wireless Sensor Network for an Agricultural Environment,” Elm.Eeng.Dcu.Ie, no. february, 2012.
[8] G. Piñeres-Espitia, A. Cama-Pinto, D. De La Rosa Morrón, F. Estevez, and D. Cama-Pinto, “Design of a low cost weather station for detecting environmental changes,” Espacios, vol. 38, no. 59, 2017.
[9] S. K. Risandriya, “Aplikasi Wireless Sensor Network ( WSN ) Sebagai Sistem Monitoring Cuaca Berbasis WEB,” 2012.
[10] A. Nasre, R. Barai, and P. Walde, “Design of Greenhouse Control System Based on Wireless Sensor Networks Using MATLAB,” Discovery, vol. 19, no. 57, pp. 56–58, 2014.
[11] D. I. Pujiana, A. S. Handayani, and A. Aryanti, “Perancangan Wireless Sensor Network Dalam Sistem Monitoring Lingkungan,” in Prosiding Annual Research Seminar 2017 Computer, 2017, vol. 3, no. 1.
[12] H. Kumpusch, D. Hayn, and R. Modre-osprian, “Design and Evaluation of a Telemonitoring Concept Based on NFC-Enabled Mobile Phones and Sensor Devices,” vol. 16, no. 1, pp. 17–23, 2012.
[13] N. Science et al., “Chaos , Solitons & Fractals Algorithmic requirements for swarm intelligence in differently coupled collective systems,” Chaos, Solitons Fractals Interdiscip. J. Nonlinear Sci. Nonequilibrium Complex Phenom., vol. 50, pp. 100–114, 2013.
[14] A. Awad, T. Frunzke, and F. Dressler, “Adaptive distance estimation and localization in WSN using RSSI measures,” Proc. - 10th Euromicro Conf. Digit. Syst. Des. Archit. Methods Tools, DSD 2007, no. September 2007, pp. 471–478, 2007.
[15] K. Malhotra, “A Review to Study Fuzzy Technique on Localizing Sensors In WSN,” vol. 2, no. 4, pp. 638–644, 2014.
[16] J. H. Ryu, M. Irfan, and A. Reyaz, “A Review on Sensor Network Issues and Robotics,” J. Sensors, vol. 2015, 2015.
[17] A. Pawlowski, J. L. Guzman, F. Rodríguez, M. Berenguel, J. Sánchez, and S. Dormido, “Simulation of Greenhouse Climate Monitoring and Control with Wireless Sensor Network and Event-Based Control,” pp. 232–252, 2009.
[18] A. Ali, Y. Ming, S. Chakraborty, and S. Iram, “A Comprehensive Survey on Real-Time Applications of WSN,” Futur. Internet, vol. 9, no. 4, p. 77, 2017.
[19] A. S. Handayani, T. Dewi, N. L. Husni, S. Nurmaini, and I. Yani, “Target Tracking in Mobile Robot under Uncertain Environment using Fuzzy Logic Controller,” in Proc. EECSI 2017, Yogyakarta, Indonesia, 19-21 September 2017, 2017, no. September, pp. 19–21.
[20] N. L. Husni, A. S. Handayani, S. Nurmaini, and I. Yani, “Odor classification using Support Vector Machine,” ICECOS 2017 - Proceeding 2017 Int. Conf. Electr. Eng. Comput. Sci. Sustain. Cult. Herit. Towar. Smart Environ. Better Futur., pp. 71–76, 2017.
[21] Bapedal, “Pedoman Teknis Perhitungan dan Pelaporan Serta Informasi Indeks Standar Pencemar Udara,” 1997.
[22] N. Habibie et al., “CO 2 Monitoring System for Prototype of Building Air Quality Management Using,” vol. 2, no. December, pp. 49–60, 2016.
[23] S. U. Zagade and R. S. Kawitkar, “Wireless Sensor Network for Greenhouse,” vol. 2, no. 3, pp. 130–133, 2012.
[24] J. Simon and G. Martinovi, “NJAS - Wageningen Journal of Life Sciences Greenhouse microclimatic environment controlled by a mobile measuring station,” vol. 71, pp. 61–70, 2014.
[25] A. Faroqi, D. K. Halim, M. Sanjaya, and W. S. Ph, “PERANCANGAN ALAT PENDETEKSI KADAR POLUSI UDARA MENGUNAKAN SENSOR GAS MQ-7 DENGAN TEKNOLOGI WIRELESS HC-05 Latar Belakang,” vol. X, no. 2, pp. 33–47, 2017.
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2019-01-18
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