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Multi-Input Intervention Analysis for Evaluating of the Domestic Airline Passengers in an International Airport

Received: 5 April 2017     Accepted: 18 April 2017     Published: 3 June 2017
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Abstract

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.

Published in Science Journal of Applied Mathematics and Statistics (Volume 5, Issue 3)
DOI 10.11648/j.sjams.20170503.13
Page(s) 110-126
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2017. Published by Science Publishing Group

Keywords

Time Series Data, Multi-input Intervention Analysis, Pulse Function, Step Function

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Cite This Article
  • APA Style

    Salam Ali Wiradinata, Rado Yendra, Suhartono, Moh Danil Hendry Gamal. (2017). Multi-Input Intervention Analysis for Evaluating of the Domestic Airline Passengers in an International Airport. Science Journal of Applied Mathematics and Statistics, 5(3), 110-126. https://doi.org/10.11648/j.sjams.20170503.13

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    ACS Style

    Salam Ali Wiradinata; Rado Yendra; Suhartono; Moh Danil Hendry Gamal. Multi-Input Intervention Analysis for Evaluating of the Domestic Airline Passengers in an International Airport. Sci. J. Appl. Math. Stat. 2017, 5(3), 110-126. doi: 10.11648/j.sjams.20170503.13

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    AMA Style

    Salam Ali Wiradinata, Rado Yendra, Suhartono, Moh Danil Hendry Gamal. Multi-Input Intervention Analysis for Evaluating of the Domestic Airline Passengers in an International Airport. Sci J Appl Math Stat. 2017;5(3):110-126. doi: 10.11648/j.sjams.20170503.13

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  • @article{10.11648/j.sjams.20170503.13,
      author = {Salam Ali Wiradinata and Rado Yendra and Suhartono and Moh Danil Hendry Gamal},
      title = {Multi-Input Intervention Analysis for Evaluating of the Domestic Airline Passengers in an International Airport},
      journal = {Science Journal of Applied Mathematics and Statistics},
      volume = {5},
      number = {3},
      pages = {110-126},
      doi = {10.11648/j.sjams.20170503.13},
      url = {https://doi.org/10.11648/j.sjams.20170503.13},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.sjams.20170503.13},
      abstract = {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.},
     year = {2017}
    }
    

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    T1  - Multi-Input Intervention Analysis for Evaluating of the Domestic Airline Passengers in an International Airport
    AU  - Salam Ali Wiradinata
    AU  - Rado Yendra
    AU  - Suhartono
    AU  - Moh Danil Hendry Gamal
    Y1  - 2017/06/03
    PY  - 2017
    N1  - https://doi.org/10.11648/j.sjams.20170503.13
    DO  - 10.11648/j.sjams.20170503.13
    T2  - Science Journal of Applied Mathematics and Statistics
    JF  - Science Journal of Applied Mathematics and Statistics
    JO  - Science Journal of Applied Mathematics and Statistics
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    EP  - 126
    PB  - Science Publishing Group
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    UR  - https://doi.org/10.11648/j.sjams.20170503.13
    AB  - 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.
    VL  - 5
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Author Information
  • Department of Mathematics, University of Riau, Pekanbaru, Indonesia

  • Department of Mathematics, State Islamic University of Sultan Syarif Kasim, Pekanbaru, Indonesia

  • Department of Statistics, Institut Teknologi Sepuluh Nopember, Surabaya, Indonesia

  • Department of Mathematics, University of Riau, Pekanbaru, Indonesia

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