Prediction of rainfall trends using Mahalanobis-Taguchi system
Full comprehension of precipitation patterns is crucially needed, especially in Pekan, a district in Pahang, Malaysia. The area is renowned for its elevated levels of precipitation, making it imperative to precisely categorize and enhance the analysis of rainfall patterns to facilitate effective res...
| Main Authors: | , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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IRCS - ITB
2024
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| Online Access: | http://umpir.ump.edu.my/id/eprint/41498/1/publication7-PGRS230320.pdf |
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| author | Muhammad Arieffuddin, Mohd Jamil Mohd Yazid, Abu Sri Nur Areena, Mohd Zaini Nurul Haziyani, Aris Nur Syafikah, Pinueh Nur Najmiyah, Jaafar Wan Zuki Azman, Wan Muhammad Faizir, Ramlie Nolia, Harudin Emelia Sari, . Nadiatul Adilah, Ahmad Abdul Ghani |
| author_facet | Muhammad Arieffuddin, Mohd Jamil Mohd Yazid, Abu Sri Nur Areena, Mohd Zaini Nurul Haziyani, Aris Nur Syafikah, Pinueh Nur Najmiyah, Jaafar Wan Zuki Azman, Wan Muhammad Faizir, Ramlie Nolia, Harudin Emelia Sari, . Nadiatul Adilah, Ahmad Abdul Ghani |
| author_sort | Muhammad Arieffuddin, Mohd Jamil |
| collection | UMP |
| description | Full comprehension of precipitation patterns is crucially needed, especially in Pekan, a district in Pahang, Malaysia. The area is renowned for its elevated levels of precipitation, making it imperative to precisely categorize and enhance the analysis of rainfall patterns to facilitate effective resource allocation, agricultural productivity, and catastrophe readiness. The variability of rainfall patterns is contingent upon geographical location, necessitating the collection of a comprehensive data set that includes several characteristics that influence precipitation to make reliable predictions. Data were collected from the Vantage Pro2 weather station, which is located on the UMP Pekan campus. This study used the RT method to classify rainfall and T-Method 1 to determine the degree of contribution of each parameter. Significant parameters were validated using a data set from the same type of weather station but in a different district. The results showed that the Mahalanobis-Taguchi Bee Algorithm (MTBA) is more effective than the Mahalanobis-Taguchi System (MTS) in finding the significant parameters, but the parameters were a subset of MTS Teshima. Finally, the validation with T mean-based error (Tmbe) using Mean Absolute Error (MAE) revealed a pattern of errors to provide insight to find the significant parameters of MTS. |
| first_indexed | 2024-09-25T03:50:09Z |
| format | Article |
| id | UMPir41498 |
| institution | Universiti Malaysia Pahang |
| language | English |
| last_indexed | 2024-09-25T03:50:09Z |
| publishDate | 2024 |
| publisher | IRCS - ITB |
| record_format | dspace |
| spelling | UMPir414982024-06-10T01:48:32Z http://umpir.ump.edu.my/id/eprint/41498/ Prediction of rainfall trends using Mahalanobis-Taguchi system Muhammad Arieffuddin, Mohd Jamil Mohd Yazid, Abu Sri Nur Areena, Mohd Zaini Nurul Haziyani, Aris Nur Syafikah, Pinueh Nur Najmiyah, Jaafar Wan Zuki Azman, Wan Muhammad Faizir, Ramlie Nolia, Harudin Emelia Sari, . Nadiatul Adilah, Ahmad Abdul Ghani T Technology (General) TA Engineering (General). Civil engineering (General) Full comprehension of precipitation patterns is crucially needed, especially in Pekan, a district in Pahang, Malaysia. The area is renowned for its elevated levels of precipitation, making it imperative to precisely categorize and enhance the analysis of rainfall patterns to facilitate effective resource allocation, agricultural productivity, and catastrophe readiness. The variability of rainfall patterns is contingent upon geographical location, necessitating the collection of a comprehensive data set that includes several characteristics that influence precipitation to make reliable predictions. Data were collected from the Vantage Pro2 weather station, which is located on the UMP Pekan campus. This study used the RT method to classify rainfall and T-Method 1 to determine the degree of contribution of each parameter. Significant parameters were validated using a data set from the same type of weather station but in a different district. The results showed that the Mahalanobis-Taguchi Bee Algorithm (MTBA) is more effective than the Mahalanobis-Taguchi System (MTS) in finding the significant parameters, but the parameters were a subset of MTS Teshima. Finally, the validation with T mean-based error (Tmbe) using Mean Absolute Error (MAE) revealed a pattern of errors to provide insight to find the significant parameters of MTS. IRCS - ITB 2024-04-30 Article PeerReviewed pdf en cc_by_nc_nd_4 http://umpir.ump.edu.my/id/eprint/41498/1/publication7-PGRS230320.pdf Muhammad Arieffuddin, Mohd Jamil and Mohd Yazid, Abu and Sri Nur Areena, Mohd Zaini and Nurul Haziyani, Aris and Nur Syafikah, Pinueh and Nur Najmiyah, Jaafar and Wan Zuki Azman, Wan Muhammad and Faizir, Ramlie and Nolia, Harudin and Emelia Sari, . and Nadiatul Adilah, Ahmad Abdul Ghani (2024) Prediction of rainfall trends using Mahalanobis-Taguchi system. Journal of Engineering and Technological Sciences, 56 (2). pp. 287-303. ISSN 2337-5779. (Published) https://doi.org/10.5614/j.eng.technol.sci.2024.56.2.9 https://doi.org/10.5614/j.eng.technol.sci.2024.56.2.9 |
| spellingShingle | T Technology (General) TA Engineering (General). Civil engineering (General) Muhammad Arieffuddin, Mohd Jamil Mohd Yazid, Abu Sri Nur Areena, Mohd Zaini Nurul Haziyani, Aris Nur Syafikah, Pinueh Nur Najmiyah, Jaafar Wan Zuki Azman, Wan Muhammad Faizir, Ramlie Nolia, Harudin Emelia Sari, . Nadiatul Adilah, Ahmad Abdul Ghani Prediction of rainfall trends using Mahalanobis-Taguchi system |
| title | Prediction of rainfall trends using Mahalanobis-Taguchi system |
| title_full | Prediction of rainfall trends using Mahalanobis-Taguchi system |
| title_fullStr | Prediction of rainfall trends using Mahalanobis-Taguchi system |
| title_full_unstemmed | Prediction of rainfall trends using Mahalanobis-Taguchi system |
| title_short | Prediction of rainfall trends using Mahalanobis-Taguchi system |
| title_sort | prediction of rainfall trends using mahalanobis taguchi system |
| topic | T Technology (General) TA Engineering (General). Civil engineering (General) |
| url | http://umpir.ump.edu.my/id/eprint/41498/1/publication7-PGRS230320.pdf |
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