MARETA, FITRI and Malik, Reza Firsandaya (2018) PREDIKSI KUALITAS UDARA DARI DATA PENGUKURAN DI JARINGAN SENSOR NIRKABEL MENGGUNAKAN ALGORITMA PARTICLE SWARM OPTIMIZATION DAN JARINGAN SYARAF TIRUAN. Undergraduate thesis, Sriwijaya University.
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Abstract
This research was conducted to predict the level of air quality with parameters of Carbon Monoxide (CO), Particulate Material (PM2.5), Sulfur Dioxide (SO2), Nitrogen Dioxide (NO2) and Ozone (O3) by implementing Particle Swarm Optimization algorithm as an optimization algorithm in determination of the initial weight of the Artificial Neural Network (JSN-PSO) based on the Air Pollution Standard Index (ISPU) value of the measurement data in Wireless Sensor Network. In addition, this study also calculates the accuracy of the prediction results with actual data in testing data. A total of 120 air pollution index data record in New York City in April 2014-2017 taken from the United States Environmental Protection Agency (EPA) was used for the training and testing process in this study. Artificial Neural Network System with Multi Layer Perceptron architecture (MLP) in the form of initialization parameter values consisting of 6 input nodes in the input layer (CO, CO2, O3, SO4, PM-2.5, air quality index on the same day), 3 nodes in the hidden layer, and 1 node in the output layer (prediction of air pollution index in the next day). The test was simulated using Matlab R2015a software. The results of the test show that the JSN-PSO algorithm can produce a prediction of air quality level that is close to the target value with an average level of accuracy between the predicted values and actual data based on the ISPU value output is 81.92%.
| Item Type: | Thesis (Undergraduate) |
|---|---|
| Uncontrolled Keywords: | Jaringan Sensor Nirkabel, Particle Swarm Optimization, Jaringan Syaraf Tiruan, JSN-PSO, Prediksi, Indeks Standar Pencemaran Udara, Tingkat Akurasi. |
| Subjects: | T Technology > T Technology (General) > T58.5-58.64 Information technology > T58.5 General works Management information systems Cf. HD30.213 Industrial management Cf. HF5549.5.C6+ Communication in personnel management Cf. TS158.6 Automatic data collection systems (Production control) |
| Divisions: | 09-Faculty of Computer Science > 56201-Computer Systems (S1) |
| Depositing User: | Mr Halim Sobri |
| Date Deposited: | 20 Sep 2019 08:01 |
| Last Modified: | 20 Sep 2019 08:01 |
| URI: | http://repository.unsri.ac.id/id/eprint/8247 |
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