Frequency : 12 issues per year
Subject : Computer Applications and Technology
ISSN : 2319–8656 (Online)
IJCATR Volume 9 Issue 12
Optimization of Missing Value Data Imputation Automatic Dependent Surveillance Broadcasting (ADS-B) Based on K-Nearest Neighbor and Genetic Algorithm
Didik Hariyanto , Sholeh Hadi Pramono , Erni Yudaningtyas
10.7753/IJCATR0912.1003
keywords : ADS-B, Missing Value, Imputation, K-Nearest Neighbor, Genetic Algotirhm
The flight navigation equipments technology use still conventional, namely using radar, now slowly starting to switch to Automatic Dependent Surveillance-Broadcast (ADS-B [6]. In this study, using RTL-SDR to detect aircraft and carry out tests through the Monte Carlo alltitude method, latitude, and longitude only [3]. However, in this system there is a problem regarding the missing value in the preprocessed data results / ADS-B flow data. In handling missing values, the KNN method is the most popular, but the weakness in the KNN method, can reduce the performance[9]. So a Genetic Algorithm (GA) is proposed to optimize the k value in the KNN method. The results of this study obtained a better MSE value in the imputation process. Altitude k = 3, with MSE 128668.96, Speed k = 6, with the MSE value = 457.5201, while the k value in the Heading variable k = 61 with MSE = 752.1429. For Lattitude and Longitude, the value of k = 3, MSE 9.16E-05 and k = 2 and MSE 1.68E-05.
@artical{d9122020ijcatr09121003,
Title = "Optimization of Missing Value Data Imputation Automatic Dependent Surveillance Broadcasting (ADS-B) Based on K-Nearest Neighbor and Genetic Algorithm",
Journal ="International Journal of Computer Applications Technology and Research(IJCATR)",
Volume = "9",
Issue ="12",
Pages ="327 - 331",
Year = "2020",
Authors ="Didik Hariyanto , Sholeh Hadi Pramono , Erni Yudaningtyas "}
ADSB data is very important for the development of the world of aviation for human safety
This study proposes the use of SDR technology for aviation
The results of the implementation of SDR in this study require an imputation method to correct missing values
Performance in the Imputation method using MSE.