Impact of Mahalanobis-Taguchi System on Health Performance Among Academicians
Health performance generally refers to the effectiveness and efficiency of individual or population health outcomes and behaviors. It comprises various aspects, such as physical health, specifically how well an individual manages disease and engages in preventive measures, as well as mental health....
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Universitas Indonesia
2025-05-01
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| Series: | International Journal of Technology |
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| Online Access: | https://ijtech.eng.ui.ac.id/article/view/7226 |
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| author | Nur Aisyah Mardhiah Halim Mohd Yazid Abu Nor Suhadah Razali Nurul Haziyani Aris Emilia Sari Nur Najmiyah Jaafar Ahmad Shahrizan Abdul Ghani Faizir Ramlie Wan Zuki Azman Wan Muhamad Nolia Harudin |
| author_facet | Nur Aisyah Mardhiah Halim Mohd Yazid Abu Nor Suhadah Razali Nurul Haziyani Aris Emilia Sari Nur Najmiyah Jaafar Ahmad Shahrizan Abdul Ghani Faizir Ramlie Wan Zuki Azman Wan Muhamad Nolia Harudin |
| author_sort | Nur Aisyah Mardhiah Halim |
| collection | DOAJ |
| description | Health performance generally refers to the effectiveness and efficiency of individual or population health outcomes and behaviors. It comprises various aspects, such as physical health, specifically how well an individual manages disease and engages in preventive measures, as well as mental health. Non-communicable diseases affect individuals across diverse backgrounds and regions globally. Therefore, this study aimed to investigate the impact of Mahalanobis-Taguchi System (MTS) on health performance among academicians. Data were collected from health center that served all academic faculties at a local university, focusing on the years 2022 and 2023. To achieve the objective, a total of 17 parameters were considered. The robust Taguchi (RT) Method was used for classification, while the Taguchi (T) Method was used for optimization. In 2022, Mahalanobis distance for abnormal cases ranged between a minimum of 0.0130 and a maximum of 49.9425. For normal cases, the distance ranged between 0.0176 and 44.5121, with a total of 48 samples overlapping the threshold. In 2023, the distance ranged between 0.012843 and 36.986225 for abnormal cases. Meanwhile, for normal cases, the distance ranged between 0.002879 and 8.405225, with a total of 122 samples overlapping the threshold. For both 2022 and 2023, the data for normal and abnormal cases showed a strong negative correlation, with values of -0.6161, -0.3636, -0.5921, and -0.6252, respectively. Regarding the degree of contribution, seven parameters, namely fasting plasma glucose, untreated systolic blood pressure, treated systolic blood pressure, pulse, body mass index (BMI), body fat, and waist circumference, showed a positive degree of contribution in 2022. In 2023, ten parameters, including random plasma glucose, fasting plasma glucose, untreated systolic blood pressure, treated systolic blood pressure, diastolic blood pressure, pulse, BMI, body fat, skeletal muscle, and waist circumference, showed a positive degree of contribution. Therefore, MTS is a valuable tool for evaluating health performance among academicians, offering robust classification and optimization capabilities. |
| format | Article |
| id | doaj-art-381c94d81f214e16aa8afb50e58d09ff |
| institution | OA Journals |
| issn | 2086-9614 2087-2100 |
| language | English |
| publishDate | 2025-05-01 |
| publisher | Universitas Indonesia |
| record_format | Article |
| series | International Journal of Technology |
| spelling | doaj-art-381c94d81f214e16aa8afb50e58d09ff2025-08-20T02:30:24ZengUniversitas IndonesiaInternational Journal of Technology2086-96142087-21002025-05-0116384686410.14716/ijtech.v16i3.72267226Impact of Mahalanobis-Taguchi System on Health Performance Among AcademiciansNur Aisyah Mardhiah Halim0Mohd Yazid Abu1Nor Suhadah Razali2Nurul Haziyani Aris3Emilia Sari4Nur Najmiyah Jaafar5Ahmad Shahrizan Abdul Ghani6Faizir Ramlie7Wan Zuki Azman Wan Muhamad8Nolia Harudin9Faculty of Manufacturing and Mechatronic Engineering Technology, Universiti Malaysia Pahang Al-Sultan Abdullah, 26600 Pekan, Pahang, MalaysiaFaculty of Manufacturing and Mechatronic Engineering Technology, Universiti Malaysia Pahang Al-Sultan Abdullah, 26600 Pekan, Pahang, MalaysiaFaculty of Manufacturing and Mechatronic Engineering Technology, Universiti Malaysia Pahang Al-Sultan Abdullah, 26600 Pekan, Pahang, MalaysiaFaculty of Manufacturing and Mechatronic Engineering Technology, Universiti Malaysia Pahang Al-Sultan Abdullah, 26600 Pekan, Pahang, MalaysiaUniversitas Trisakti, Faculty of Industrial Technology, Department of Industrial Engineering, 11440 Kyai Tapa No 1, West Jakarta, IndonesiaFaculty of Manufacturing and Mechatronic Engineering Technology, Universiti Malaysia Pahang Al-Sultan Abdullah, 26600 Pekan, Pahang, MalaysiaFaculty of Manufacturing and Mechatronic Engineering Technology, Universiti Malaysia Pahang Al-Sultan Abdullah, 26600 Pekan, Pahang, MalaysiaRazak Faculty of Technology and Informatics, Department of Mechanical Engineering, Universiti Teknologi Malaysia, Jalan Sultan Yahya Petra, 54100 Kuala Lumpur, MalaysiaInstitute of Engineering Mathematics, Universiti Malaysia Perlis, Kampus Pauh Putra, Perlis 02600 Arau, MalaysiaDepartment of Mechanical Engineering, Universiti Tenaga Nasional, 43000 Kajang, Selangor, MalaysiaHealth performance generally refers to the effectiveness and efficiency of individual or population health outcomes and behaviors. It comprises various aspects, such as physical health, specifically how well an individual manages disease and engages in preventive measures, as well as mental health. Non-communicable diseases affect individuals across diverse backgrounds and regions globally. Therefore, this study aimed to investigate the impact of Mahalanobis-Taguchi System (MTS) on health performance among academicians. Data were collected from health center that served all academic faculties at a local university, focusing on the years 2022 and 2023. To achieve the objective, a total of 17 parameters were considered. The robust Taguchi (RT) Method was used for classification, while the Taguchi (T) Method was used for optimization. In 2022, Mahalanobis distance for abnormal cases ranged between a minimum of 0.0130 and a maximum of 49.9425. For normal cases, the distance ranged between 0.0176 and 44.5121, with a total of 48 samples overlapping the threshold. In 2023, the distance ranged between 0.012843 and 36.986225 for abnormal cases. Meanwhile, for normal cases, the distance ranged between 0.002879 and 8.405225, with a total of 122 samples overlapping the threshold. For both 2022 and 2023, the data for normal and abnormal cases showed a strong negative correlation, with values of -0.6161, -0.3636, -0.5921, and -0.6252, respectively. Regarding the degree of contribution, seven parameters, namely fasting plasma glucose, untreated systolic blood pressure, treated systolic blood pressure, pulse, body mass index (BMI), body fat, and waist circumference, showed a positive degree of contribution in 2022. In 2023, ten parameters, including random plasma glucose, fasting plasma glucose, untreated systolic blood pressure, treated systolic blood pressure, diastolic blood pressure, pulse, BMI, body fat, skeletal muscle, and waist circumference, showed a positive degree of contribution. Therefore, MTS is a valuable tool for evaluating health performance among academicians, offering robust classification and optimization capabilities.https://ijtech.eng.ui.ac.id/article/view/7226classificationhealth performanceoptimizationrt methodt method |
| spellingShingle | Nur Aisyah Mardhiah Halim Mohd Yazid Abu Nor Suhadah Razali Nurul Haziyani Aris Emilia Sari Nur Najmiyah Jaafar Ahmad Shahrizan Abdul Ghani Faizir Ramlie Wan Zuki Azman Wan Muhamad Nolia Harudin Impact of Mahalanobis-Taguchi System on Health Performance Among Academicians International Journal of Technology classification health performance optimization rt method t method |
| title | Impact of Mahalanobis-Taguchi System on Health Performance Among Academicians |
| title_full | Impact of Mahalanobis-Taguchi System on Health Performance Among Academicians |
| title_fullStr | Impact of Mahalanobis-Taguchi System on Health Performance Among Academicians |
| title_full_unstemmed | Impact of Mahalanobis-Taguchi System on Health Performance Among Academicians |
| title_short | Impact of Mahalanobis-Taguchi System on Health Performance Among Academicians |
| title_sort | impact of mahalanobis taguchi system on health performance among academicians |
| topic | classification health performance optimization rt method t method |
| url | https://ijtech.eng.ui.ac.id/article/view/7226 |
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