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Research Article | Open Access |

Using the Agglomerative Hierarchical Clustering Method to Examine Human Factors in Indonesian Aviation Accidents

Author 1: Rossi Passarella Author 2: Gulfi Oktariani Author 3: Dedy Kurniawan Author 4: Purwita Sari
International Journal of Advanced Computer Science and Applications (IJACSA) · Vol. 13, No. 9 · Published 2022

DOI: https://doi.org/10.14569/IJACSA.2022.0130938

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Abstract

This study aims to provide a comprehensive source of knowledge regarding aviation accidents in Indonesia caused by human factors, which are the most significant among other causative elements, requiring a detailed assessment of the accident as a result of pilot and co-pilot faults while operating the aircraft. The KNKT website database is still in the form of accident reports. To this end, the retrieved information based on historical data for 23 years of accidents caused by humans by analyzing the data using the clustering approach to gain data insight in the relationship between total flying hours and pilot licenses. The data analysis revealed that, in general, the aircraft operator complied with the CASR standards.

Keywords

Aviation accidents data pilot’s licenses flying hours human factor

How to Cite this Article

Passarella, R., Oktariani, G., Kurniawan, D., & Sari, P. (2022). Using the Agglomerative Hierarchical Clustering Method to Examine Human Factors in Indonesian Aviation Accidents. International Journal of Advanced Computer Science and Applications, 13(9). https://doi.org/10.14569/IJACSA.2022.0130938

Passarella, Rossi, et al.. "Using the Agglomerative Hierarchical Clustering Method to Examine Human Factors in Indonesian Aviation Accidents." International Journal of Advanced Computer Science and Applications, vol. 13, no. 9, 2022, https://doi.org/10.14569/IJACSA.2022.0130938.

@article{Passarella2022,
  title     = {Using the Agglomerative Hierarchical Clustering Method to Examine Human Factors in Indonesian Aviation Accidents},
  journal   = {International Journal of Advanced Computer Science and Applications},
  volume    = {13},
  number    = {9},
  year      = {2022},
  publisher = {The Science and Information Organization},
  author    = {Rossi Passarella and Gulfi Oktariani and Dedy Kurniawan and Purwita Sari},
  doi       = {10.14569/IJACSA.2022.0130938},
  url       = {https://doi.org/10.14569/IJACSA.2022.0130938}
}

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