Multi-Input Intervention Analysis for Evaluating of the Domestic Airline Passengers in an International Airport
Science Journal of Applied Mathematics and Statistics
Volume 5, Issue 3, June 2017, Pages: 110-126
Received: Apr. 5, 2017;
Accepted: Apr. 18, 2017;
Published: Jun. 3, 2017
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Salam Ali Wiradinata, Department of Mathematics, University of Riau, Pekanbaru, Indonesia
Rado Yendra, Department of Mathematics, State Islamic University of Sultan Syarif Kasim, Pekanbaru, Indonesia
Suhartono, Department of Statistics, Institut Teknologi Sepuluh Nopember, Surabaya, Indonesia
Moh Danil Hendry Gamal, Department of Mathematics, University of Riau, Pekanbaru, Indonesia
This article discusses multi-input intervention analysis to investigate the effect of interventions which may come from internal and/or external factors in time series data. The objective of this research is to obtain multi-input intervention analysis, which can explain the magnitude and periodic of each event effected to monthly types of the domestic airline passenger flight in Pekanbaru airport. The purpose of this study is to give a theoretical and empirical studies on the multi-input intervention analysis, particularly to develop and construct a model procedure of multi-input intervention cused by pulse and/or step function to evaluate the impact of these external and/or internal events in time series data. Monthly data comprising the number of the domestic airline passenger flight in Pekanbaru airport are used as the data for this case study. Generally, the forest fires, peatland, and illegal burning in Riau Province give a negative permanent impacts after four months. This study focuses on the derivation of some effect shapes, i.e. the temporary, gradually or permanent monthly airline passenger. In addition, the research also discusses how to assess the effect of an intervention in transformation data.
Salam Ali Wiradinata,
Moh Danil Hendry Gamal,
Multi-Input Intervention Analysis for Evaluating of the Domestic Airline Passengers in an International Airport, Science Journal of Applied Mathematics and Statistics.
Vol. 5, No. 3,
2017, pp. 110-126.
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