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All Journal Journal of Dentistry Indonesia Bulletin of Applied Mathematics and Mathematics Education

Mohamad Ghazali, Farah Muna

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Author-ID : 7834831

Dentistry Mathematics

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Developing an Ordered Logistics Regression Model for Denture Hygiene among Elderly in Residential Care Homes Amir W Ahmad, Wan Muhamad; Hasan, Ruhana; Adnan, Mohamad Nasarudin; Mohamad Ghazali, Farah Muna; Shahzad, Hazik Bin; Aleng, Nor Azlida; Mohd Ibrahim, Mohamad Shafiq
Journal of Dentistry Indonesia Vol. 31, No. 2
Publisher : UI Scholars Hub

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With a global aging population, the oral hygiene of elderly individuals in institutional settings requires unique management. Maintaining adequate denture hygiene is a critical aspect of their overall well-being, while neglecting denture hygiene can lead to various oral health issues, malnutrition, and further impacting their overall health. Objective: This paper aims to provide a preliminary overview of denture hygiene care among the elderly using an ordered logistics model. Methods: Data was obtained from 174 participants in two government institutional homes in Malaysia. The Principle Components Analysis (PCA) was used to identify significant variables and an ordered logistic model showed the relationships between these variables and denture hygiene. Results: PCA identified three significant variables: calf circumference, age, and appetite. The ordered logistic model shows that lower calf circumference, lower age groups and severe loss of appetite, all were associated with significantly poorer denture hygiene. The model’s fitting and goodness-of-fit was also assesed and found to be satisfactory. Conclusion: Poor denture hygiene is prevelant among institutionalized elderly. Addressing these issues is crucial for caregivers and healthcare providers to enhance the well-being of the aging population. This research provides a foundation for future interventions to improve denture hygiene and, by extension, overall health and quality of life for institutionalized elderly individuals.

Modeling for exponential growth and decay methodology in biometry using SAS syntax Wan Ahmad, Wan Muhammad Amir bin; Mohamad Ghazali, Farah Muna; Mohd Noor, Nor Farid; Aleng, Nor Azlida
Bulletin of Applied Mathematics and Mathematics Education Vol. 1 No. 1 (2021)
Publisher : Universitas Ahmad Dahlan

This paper provided an alternative method for exponential growth modeling as a regression analysis technique through the SAS algorithm. This alternative method is a combination technique (using nonlinear model bootstrap and fuzzy regression) for the small data set and gives the researcher an option to start the analysis, even if there is not enough data set. This method enhances the previous methodology with embedded bootstrapping and fuzzy technique to a nonlinear regression model. This principle aims to propose an alternative method of analysis with better results. In our case, we applied this principle to farm data and compared the results obtained by looking at the average width of the predicted interval.

Fuzzy regression model with Bayesian approach and its application to public health data Wan Ahmad, Wan Muhammad Amir bin; Nizam Akbar, Nurul Asyikin; Mohamad Ghazali, Farah Muna; Mohd Noor, Nor Farid; Aleng, Nor Azlida
Bulletin of Applied Mathematics and Mathematics Education Vol. 2 No. 1 (2022)
Publisher : Universitas Ahmad Dahlan

The application of the Bayesian Linear Regression (BLR) and Fuzzy Bayesian Linear Regression method through the SAS algorithm is the focus of this paper. As an alternative method of data analysis in biostatistics, this modified method can be used. This modified method includes a bootstrapping technique, residual normality checking and some Bayesian Linear Regression Modeling (BLR) enhancement through Fuzzy Bayesian Linear Regression. We illustrated the application of the algorithm for Bayesian Linear Regression (BLR) and Fuzzy Bayesian Linear Regression in this paper.

Malaysian and Italian trend line for Covid-19: A study on trend analysis Wan Ahmad, Wan Muhammad Amir bin; Ibrahim, Noor Azlinaliana; Nawi, Mohamad Arif Awang; Mohd Noor, Nor Farid; Mohamad, Noraini; Aleng, Nor Azlida; Mohamad Ghazali, Farah Muna; Um Min Allah, Nasar
Bulletin of Applied Mathematics and Mathematics Education Vol. 1 No. 2 (2021)
Publisher : Universitas Ahmad Dahlan

The first objective of this study was to evaluate trend line pattern, obtain the appropriate statistical equation model, and predict individual numbers infected by Covid-19. The second objective is to obtain a predictive equation model and forecast death rate for Malaysia and Italy. Malaysia's first positive case Covid-19 recorded January 24, 2020, consisting of three cases. Collected from January 24 to March 29, 2020. Sixty-six day-observations, based on their trend line pattern, earned special attention. Although the first positive case was identified on January 31, 2020, involving two patients. From January 31 to March 29, 2020, approximately 59 observations were collected from Italy. On 18 March 2020, the pattern will contrast with the Malaysian Movement Control Order (MCO). Malaysia and Italy collect death figures. A similar methodology will be applied to find the best-fitted model that fits both countries' death-number scenario. In Italy, the number of Covid-19-infected patients rises and meets quadratic trend line patterns. This induces extreme public distress and diversion. The quadratic trend line series analysed individual Covid-19-infected results. After March 18, 2020, it will continue to use a linear pattern. However, trend deaths also follow quadratic trend line pattern. Trend-line quadratic matched Italy's results. The quadratic line-of-trend model projection demonstrated dominance in estimating infected Covid-19. The quadratic death line from daily death collection data also showed superiority in estimating death number. The fitted quadratic model is better fitted in the Malaysian case, but the pattern shifts to linear trend line after MCO is implemented.

Co-Authors Adnan, Mohamad Nasarudin Amir W Ahmad, Wan Muhamad Hasan, Ruhana Ibrahim, Noor Azlinaliana Mohamad Arif Awang Nawi Mohd Ibrahim, Mohamad Shafiq Mohd Noor, Nor Farid Nizam Akbar, Nurul Asyikin Nor Azlida Aleng Noraini Mohamad, Noraini Shahzad, Hazik Bin Um Min Allah, Nasar Wan Ahmad, Wan Muhammad Amir bin

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