Application of Mahalanobis-Taguchi System in Rainfall Trends at UMP Gambang Campus

Authors

  • M.A.M. Jamil Faculty of Manufacturing and Mechatronic Engineering Technology, Universiti Malaysia Pahang Al-Sultan Abdullah, 26600, Pekan, Pahang, Malaysia
  • M. Y. Abu Faculty of Manufacturing and Mechatronic Engineering Technology, Universiti Malaysia Pahang Al-Sultan Abdullah, 26600, Pekan, Pahang, Malaysia
  • S.N.A.M. Zaini Faculty of Manufacturing and Mechatronic Engineering Technology, Universiti Malaysia Pahang Al-Sultan Abdullah, 26600, Pekan, Pahang, Malaysia
  • N.H. Aris Faculty of Manufacturing and Mechatronics Engineering Technology, Universiti Malaysia Pahang Al-Sultan Abdullah, 26600, Pahang, Malaysia
  • N.S. Pinueh Faculty of Manufacturing and Mechatronic Engineering Technology, Universiti Malaysia Pahang Al-Sultan Abdullah, 26600, Pekan, Pahang, Malaysia
  • W.Z.A.W. Muhamad Institute of Engineering Mathematics, Universiti Malaysia Perlis, Kampus Pauh Putra, Perlis 02600 Arau, Malaysia
  • F. Ramlie Razak Faculty of Technology and Informatics, Department of Mechanical Engineering, Universiti Teknologi Malaysia, Jalan Sultan Yahya Petra, 54100, Kuala Lumpur, Malaysia
  • N. Harudin Universiti Tenaga Nasional, 43000 Kajang, Selangor, Malaysia
  • E. Sari Universittas Trisakti, Faculty of Industrial Technology, Department of Industrial Engineering, 11440, Kyai Tapa No 1, West Jakarta, Indonesia
  • N.A.A.A. Ghani Universittas Trisakti, Faculty of Industrial Technology, Department of Industrial Engineering, 11440, Kyai Tapa No 1, West Jakarta, Indonesia
  • N.N. Jaafar Faculty of Civil Engineering Technology, Universiti Malaysia Pahang Al-Sultan Abdullah, Lebuh Persiaran Tun Khalil Yaakob, 26300 Pahang, Malaysia

DOI:

https://doi.org/10.15282/mekatronika.v5i2.9581

Keywords:

Mahalanobis-Taguchi system, Mahalanobis distance, Rainfall, Classification, Optimization

Abstract

Rainfall is a variable meteorological phenomenon that exhibits spatial variability across different locations. Weather stations collect a wide range of parameters to monitor and analyze rainfall patterns. However, not all parameters are equally significant or efficient in performing classification and optimization tasks. In this study, we propose the use of the Mahalanobis-Taguchi system (MTS) method to classify rainfall occurrences by RT-Method and optimize the parameter selection process by T-Method. The data were collected by weather station Vantage Pro2 in UMP Gambang. By applying RT- Method, we can classify the data sample in term of MD for November, May and April while reducing the number of parameters to only those that significantly contribute to the classification, which from 16 parameters to 8 parameters using T-Method. This approach provides a streamlined and efficient methodology for analyzing rainfall patterns and optimizing weather station data collection processes.

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Published

2023-09-27

How to Cite

[1]
M. Jamil, “Application of Mahalanobis-Taguchi System in Rainfall Trends at UMP Gambang Campus”, Mekatronika: J. Intell. Manuf. Mechatron., vol. 5, no. 2, pp. 6–13, Sep. 2023.

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Section

Original Article