Yazar "Kamil, Anton Abdulbasah" seçeneğine göre listele
Listeleniyor 1 - 20 / 28
Sayfa Başına Sonuç
Sıralama seçenekleri
Öğe Addition of Subset and Dummy Variables in the Threshold Spatial Vector Autoregressive with Exogenous Variables Model to Forecast Inflation and Money Outflow(MDPI, ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND, 2024) Setiawan, Setiawan; Sohibien, Gama Putra Danu; Prastyo, Dedy Dwi; Akbar, Muhammad Sjahid; Kamil, Anton AbdulbasahThe TSpVARX model can be used in inflation and money outflow forecasting by accommodating the reciprocal relationship among endogenous variables, the influence of exogenous variables, inter-regional linkages, and the nonlinearity of the relationship between endogenous and predetermined variables. However, the impact of some events, such as Eid al-Fitr and fuel price adjustments, still cannot be accommodated in the TSpVARX model. This condition causes inflation and money outflow forecasting using TSpVARX to be unsatisfactory. Our study is to improve the forecasting performance of the TSpVARX model by adding subset and dummy variables. We use a 12th lag subset variable to capture seasonal effects and a dummy variable to represent fuel price changes. These additions enhance the model’s accuracy in forecasting inflation and money outflow by accounting for recurring patterns and specific events, like fuel price changes. Based on the RMSE values of the training and testing data, we can conclude that forecasting inflation and money outflow using TSpVARX with the addition of subset and dummy variables is better than the regular TSpVARX. The inflation and money outflow forecasting generated after the addition of subset and dummy variables are also more fluctuating as in the movement of the actual data.Öğe COVID-19 Disease and Interferon-gamma: Has it a Protective Impact on Mortality?(ERCIYES UNIV SCH MEDICINE, ERCIYES UNIV TIP FAK 38039 MELIKGAZI, KAYSERI 00000, TURKEY, 2021) Husseini, Abbas Ali; Kamil, Anton Abdulbasah; Aloudal, Mohammad RezaThe complex coincidence of several immunopathological, socio-cultural, and health infrastructure factors may affect the COVID-19 related mortality among different populations. The impact of the age on disease progression has been confirmed in several studies. Recently limited ecological and clinical studies have sparked controversy among researchers about the protective impact of the non-specific effect of routinely used Bacille Calmette-Guerin (BCG), Hepatitis A virus (HAV), and influenza (Flu) vaccines or their natural infections against COVID-19. In the present study, variables, including BCG vaccination coverage, HAV prevalence, and population age distributions, from 59 countries were analyzed to examine their potential association with COVID-19 infection and related mortality rate. Concerning COVID-19 cases/million population (1MP) and mortality, there are significant differences between countries with and without BCG vaccination programs (p-value <0.001). A significant negative correlation between both BCG coverage and HAV prevalence with COVID-19 related mortality was also found (r (59)=-0.4, p-value <0.05), (r (59) =-0.3, p-value <0.01). Based on the results of the present study, previous ecological analyses and available epidemiological evidence, along with knowledge of the immune response to BCG, HAV and influenza vaccination, as well as COVID-19 infection progression, the current study suggest a hypothesis that IFN-? induced immune response which could be triggered by BCG, HAV, and flu vaccination or natural infections may have a protective effect against COVID-19 related mortality.Öğe Design of a Participatory Web-Based Geographic Information System for Determining Industrial Zones(HINDAWI LTD, ADAM HOUSE, 3RD FLR, 1 FITZROY SQ, LONDON W1T 5HF, ENGLAND, 2021) Chumaidiyah, Endang; Dewantoro, Mouli De Rizka; Kamil, Anton AbdulbasahDifferent types of site selection exploited by geographic information systems (GIS) by combining various types of data relate to the purpose of site selection. In reality, numerous factors including physical, environmental, and social factors affect the site selection in terms of deciding the location of a new industry. Accordingly, this paper conceives systems for determining new industrial zones in the form of web-based applications or ordinarily called web-based GIS. +us, the application named the potential industrial zone smart systems, in which the prototype of the application is able to facilitate planning the determination of new industrial zone based on six parameters throughout the analytical hierarchy process method. +e result weights of six criteria are soil type 35%, land use 32%, land slope 15%, the distance of land to river 9%, the distance of land from road and accessibility 5%, and the distance of land to public facilities 4%. Additionally, the web-based GIS is a user-friendly application to determine the planned industrial location. Further, the demonstration runs effortlessly in exhibiting data on the potential of new industrial zones in the city of Bekasi, West Java Province of Indonesia.Öğe The Effect of Service Quality on Student Satisfaction in Higher Education Service(REF Press, 2022) Hussein, Salma; Kamil, Anton AbdulbasahThe purpose of this paper is to evaluate and analyze the strategies and influences of perceived service quality, perceived value, and image on foreign student satisfaction, how to increase it, and the consequences of foreign student satisfaction in private and public universities. The survey data on bachelor's, master's, and PhD college students in higher education, Structural Equation Modeling was used, and the result showed that there is a positive and significant effect of university image on student satisfaction in higher educational institutions, which means that the university image plays a vital role in fulfilling student satisfaction, so the higher educational institution should focus on it as it will be an important tool in the competition with the other institutions. Copyright © 2022– All Rights Reserved.Öğe Enhancement of SME feasibility through the integration of BMC, functional organization, and SCM(TAYLOR & FRANCIS AS, KARL JOHANS GATE 5, NO-0154 OSLO, NORWAY, 2024) Chumaidiyah, Endang; Fauzi, Putri Maulani; Kamil, Anton AbdulbasahVarious studies indicate that resources pose one of the primary challenges for SMEs in enhancing their performance. Existing theories and concepts are often impractical and too complex to be applied effectively in improving SME performance and feasibility due to resource limitations. This paper aims to design a model for strengthening the performance and feasibility of SMEs, particularly micro-industries, by integrating three crucial approaches: business model canvas, functional organization, and supply chain management. The resulting model, named ‘Feasibility Model for SMEs,’ can serve as a simple and practical solution by focusing on key variables resulting from the integration of these three approaches. The research methodology involves a literature review and conceptual research to design the SME performance enhancement model. Subsequently, the model is applied to SME cluster X. Quantitative research is conducted using smart PLS tools to confirm the theory and test hypotheses regarding the design model for 50 SMEs. The model testing results indicate that supply chain, production, value proposition, and marketing are significant variables for enhancing SME performance. The model designed in this study is novel and highly practical for enhancing SME feasibility focusing on five variables, namely supply chain, production, value proposition, marketing, and performance.Öğe Enhancing COVID-19 Classification Accuracy with a Hybrid SVM-LR Model(Mdpi, 2023) Nordin, Noor Ilanie; Mustafa, Wan Azani; Lola, Muhamad Safiih; Madi, Elissa Nadia; Kamil, Anton Abdulbasah; Nasution, Marah Doly; Hamid, Abdul Aziz K. AbdulSupport ector achine (SVM) is a newer machine learning algorithm for classification, while logistic regression (LR) is an older statistical classification method. Despite the numerous studies contrasting SVM and LR, new improvements such as bagging and ensemble have been applied to them since these comparisons were made. This study proposes a new hybrid model based on SVM and LR for predicting small events per variable (EPV). The performance of the hybrid, SVM, and LR models with different EPV values was evaluated using COVID-19 data from December 2019 to May 2020 provided by the WHO. The study found that the hybrid model had better classification performance than SVM and LR in terms of accuracy, mean squared error (MSE), and root mean squared error (RMSE) for different EPV values. This hybrid model is particularly important for medical authorities and practitioners working in the face of future pandemics.Öğe Environmental performance of Turkey amidst foreign direct investment and agriculture: A time series analysis(WILEY, 111 RIVER ST, HOBOKEN 07030-5774, NJ, 2022) Udemba, Edmund Ntom; Kamil, Anton Abdulbasah; Özaydın, OrhanThis research work is developed with interest on the performance of Turkish sustainable development amidst high inflow of foreign direct investment (FDI) and excessive usage of fossil fuels (crude oil and gas). Turkey has been identified as among the countries yet to ratify their agreements with both Kyoto and Paris agreements in fight to reduce the global warming. It is essential to investigate to know if Turkey is promoting climate change as could be among the reason why it fails to work in line the agreement to reduce the global warming. The authors adopted quantile regression (QR) to study the linear relationship that exist among the selected variables in order to have a valid conclusion on the stand of the Turkey towards the control of global warming. Our findings are: A negatively significant relationship between the carbon emission and the agriculture in the all the quantiles except the 90% quantile which shows a positive relationship. Also, the ordinary least square (OLS) estimate which acts as a robust check to the quantile findings confirms a negative relationship between the carbon emission and agriculture. A positively significant relationship is established between energy use and carbon emission in all the quantiles. EU (energy use) is statistically significant for the 30, 40, 50, 70, 80 and 90% quantiles. EU is more statistically significant for the 90% quantile than lower quantiles. Again, a mixed (both positive and negative) relationship is established between foreign direct investment and carbon emission in all the quantiles which shows that FDI is impacting the Turkish environment a mixed manner. It shows that the foreign investors still engage in both clean and dirty production in Turkey. This finding gives support to both pollution halo/haven hypothesis (PHH) in Turkey. However, a 1% point increase in GDP per capita increases the carbon emission both in the 10% quantiles and OLS by 2.82 and 2.797% respectively. This shows a positive relationship that exist between GDP per capita and the carbon emission. GDP is statistically significant for all quantiles, and show that there is a strong relationship between CO2 and GDP. Turkish sustainable policies should focus on promotion of clean FDI and agricultural practice with economic growth anchored on renewable energy sources.Öğe Estimating COVID-19 Dynamics in Afghanistan(ERCİYES ÜNİVERSİTESİ TIP FAKÜLTESİ, 2020) Husseini, Abbas Ali; Kamil, Anton AbdulbasahLittle reliable information on novel coronavirus (COVID-19) outbreak is available from war-torn countries, including Afghanistan. The current study estimates the pandemic features based on currently available data to forecasting future challenges of preventive strategies and emergency response using mathematical modeling. The infection fatality and recovery rates were estimated by 1.8% and 20.8%, respectively. The average growth rates of infection, death, and recovery among the Afghanistan population were estimated as 0.2, 0.2, and 0.5, respectively. Also, it was estimated that approximately 6 million people infected in the urban area, which may lead to approximately 11 thousand deaths. However, the features of the pandemic, marks that Afghanistan needs more time to pass the pandemic. Along with this, inadequate community engagement and low abiding to health advice, including social distancing, lack of personnel and testing capacities in the provinces, shortage of laboratory testing supplies, insufficient infection prevention, and control measures in health facilities in some of the provinces, limited access to and response capacities are the main challenges to fight against COVID-19. Therefore, the majority of infected cases and deaths may not be reported, and preventive strategies effectively in Afghanistan could severely be disrupted by several socio-cultural, financial, political, and administrative obstacles.Öğe Estimating Discharge of Nitrogen in Zero Water Exchange at I-Sharp Setiu, Terengganu, Malaysia, Based on System Dynamic Approach(Technoscience Publications, 2021) Lola, Muhamad Safiih; Kamil, Anton AbdulbasahThe present study was designed to display the integrated model of nitrogen discharge process (i.e. nitrites and nitrates; ammonia; chlorophyll and dissolved nitrogen, dissolved oxygen) which is part of the complete model of shrimp aquaculture of an Integrated Shrimp Aquaculture Park (i-Sharp) ecosystem in System Dynamic Model Aquaculture-System Policy (SD-AQEP). This study offers a comprehensive elaboration concerning the long-term process of nitrogen accumulation, as well as its effects on shrimp activities. Furthermore, the analysis of the model and the simulation results also show the conditions of nitrogen with several strategies for control and manipulation. For example, in situations where mixing of stock density is high and providing feed into ponds supplies is excessive, the nitrogen dynamic rapidly hits alarming levels. Aforementioned, the typical strategy in this setting such as stocking density and the best time to harvest could be established. Additionally, the model structure represents the discharge derived from the nitrogen process on varied settings of variables in aquaculture development. In conclusion, this model provides an experimental simulation platform that can be implemented by policy makers on long-term strategic management for developing or maintaining large-scale aquaculture development projects in the future. © 2021 Technoscience Publications. All rights reserved.Öğe Factors Affecting Risk Efficiency: A Data Envelopment Approach(International Forum of Management Scholars, 2021) Ferdushi, Kanis Fatama; Kamil, Anton AbdulbasahThis paper estimated the two-step process of production risk model which allows positive and negative marginal risk of production. In addition, a non-parametric data envelopment based analytical model is developed with a conjunction of production risk model as a purpose of relevant determinants to estimate the risk efficiency of the Transplanted AMAN rice farm. The results indicate that the important variable labor was expected to be risk-reducing, but it was positively related to risk in the farms of Dhaka (DHR), Chittagong (CHR), Khulna (KHR), Barishal (BAR) and Rangpur (RANGR) region. © 2021, International Forum of Management Scholars. All rights reserved.Öğe Financial technology forecasting using an evolving connectionist system for lenders and borrowers: ecosystem behavior(Institute of Advanced Engineering and Science, 2024) Al-Khowarizmi; Watts, Michael J.; Efendi, Syahril; Kamil, Anton AbdulbasahFinancial technology (FinTech) which is included in the development of digitalization in the financial sector in the industrial era 4.0. FinTech can make any transactions anywhere with the pillars of peer-to-peer (P2P) lending, merchants, and crowdfunding. In the P2P lending pillar, there are borrowers and lenders who are digitized in FinTech devices. FinTech in Indonesia is controlled by a state agency called the financial services authority or otoritas jasa keuangan (OJK). In the movement of P2P lending, there are borrowers and lenders who can be said to be investors where these activities are reported to the OJK. This data can be forecasted using a neural network approach such as evolving connectionist system (ECoS), which is a method capable of forecasting with learning that develops in the hidden layer. In this research article, we present results on forecasting borrowers with a mean absolute percentage error (MAPE) of 0.148% and forecasting lenders with an accuracy measurement with MAPE of 0.209% with a learning rate 1=0.6 and a learning rate 2=0.3. So, this forecasting model can be said as an optimization in FinTech activities on the behavior of borrowers and lenders. © 2024, Institute of Advanced Engineering and Science. All rights reserved.Öğe Foreword(SPRINGERNATURE, CAMPUS, 4 CRINAN ST, LONDON N1 9XW, ENGLAND, 2022) Huda, Shahariar; Chowdhury, Rafiqul Islam; Kamil, Anton AbdulbasahThis Special Issue of The Bulletin of Malaysian Mathematical Sciences Society (BMMSS) is a memorial and tribute to M. Ataharul Islam (1955–2020). We, the Guest Editorial Board members, are honored and privileged to be given the opportunity to be involved with this issueÖğe Hybrid Correlation Coefficient of Spearman with MM-Estimator(Horizon Research Publishing, 2023) Bakar, Siti Hajar Binti Abu; Lola, Muhamad Safiih Bin; Kamil, Anton Abdulbasah; Zainuddin, Nurul Hila; Abdullah, Mohd TajuddinThe Spearman rho nonparametric correlation coefficient is widely used to measure the strength and degree of association between two variables. However, outliers in the data can skew the results, leading to inaccurate results as the Spearman correlation coefficient is sensitive toward outliers. Thus, the robust approach is used to construct a robust model which is highly resistant to data contamination. The robustness of an estimator is measured by the breakdown point which is the smallest fraction of outliers in a sample data without affecting the estimator entirely. To overcome this problem, the aim of this study is two-fold. Firstly, researchers have proposed a robust Spearman correlation coefficient model based on the MMestimator, called the MM-Spearman correlation coefficient. Secondly, to test the performance of the proposed model, it was tested by the Monte Carlo simulation and contaminated air pollution data in Kuala Terengganu, Terengganu, Malaysia. The data have been contaminated from 10% to 50% outliers. The performance of the MMSpearman correlation coefficient properties was evaluated by statistical measurements such as standard error, mean squared error, root mean squared error and bias. The MMSpearman correlation coefficient model outperformed the classical model, producing significantly smaller standard error, mean squared error, and root mean squared error values. The robustness of the model was evaluated using the breakdown point, which measures the smallest fraction of outliers that can be present in sample data without entirely affecting the estimator. The hybrid MM-Spearman correlation coefficient model demonstrated high robustness and efficiently handled data contamination up to 50%. However, the study has a limitation in that it can only overcome data contamination up to a maximum of 50%. Despite this limitation, the proposed model provides accurate and efficient results, enabling management authorities to make sound decisions without being affected by contaminated data. The MM-Spearman correlation coefficient model provides a valuable tool for researchers and decision-makers, allowing them to analyze data with a high degree of accuracy and robustness, even in the presence of outliers. © 2023 by authors, all rights reserved.Öğe The impact of risk indicators on sustainability (ESG) and broad-based indices: An empirical analysis from Germany, France, Indonesia and Turkey(Inderscience Publishers, 2021) Öcal, Hüseyin; Kamil, Anton AbdulbasahThis study aims to provide empirical insights into how sustainability (ESG) and broad-based indices are affected by risk indicators such as VIX, CDS, and FX volatility index. Germany ESG-X, CDAX, France ESG-X, CAC All, Indonesia SRI-KEHATI, IDX Composite, BIST (Borsa Istanbul) Sustainability, and BIST All price indices have been examined. The daily data between November 4, 2014, and December 5, 2019 are used. Vector autoregression (VAR), Granger causality and impulse response test are employed in the analysis. The results of the study revealed that companies which are included in the Germany ESG-X, France ESG-X, and SRI-KEHATI are affected by shocks less than the companies included in broad-based indices of each country. In contrast to this result, BIST Sustainability is affected more by the shocks than BIST All. Stocks with higher ESG exposure in terms of quantity, quality, and credibility tend to have a lower risk. Causality test results revealed that VIX causes broad-based and ESG indices more than any other risk indicators. Copyright © 2021 Inderscience Enterprises Ltd.Öğe Improving productivity through work environment, training, health and safety(Primrose Hall Publishing Group, 2020) Siregar, Lia Avita Sari; Suhendra, Agus Ahmad; Kamil, Anton AbdulbasahProductivity is a measure of the achievement of a company's set targets and goals. It is an important means of monitoring improvement so that the company's objectives can be obtained effectively and efficiently. This study aims to analyse i) the influence of the work environment on work safety, ii) the influence of the work environment on occupational health, iii) the effect of training on work safety, iv) the effect of job training on occupational health, v) the effect of work safety on work productivity and vi) the influence of work health on productivity. The object of this research was conducted in a bag manufacturing industry located in the Bandung Regency, Indonesia. The data used was derived from a questionnaire taken by 120 respondents employed in the production division. The data were analysed statistically using the Structural Equation Modelling (SEM) method. The results of the analysis, showed the indicator value for the relationship; the working environment variable for work safety, the training variable for occupational health, the work environment variable for occupational health, the job training variable for work safety, the work safety variable for work productivity, and the occupational health variable for work productivity. The highest indicator value for the work environment was 0.63 and was described as pleasantly coloured and decorated according to the needs of the employees. The highest score for job training was 0.81 which delivered training material that was easily understood. The highest value for the work safety variable was 0.74 with the provision of labour protection tools. The highest value for occupational health is 0.69 with the existence of adequate facilities. The highest value for work productivity is 0.75, which showed that employees were responsible for their work. The variable that most influenced work productivity was the work safety variable. © 2020 Primrose Hall Publishing Group.Öğe M/M/c/K state-dependent models for controlling the pilgrims and the design of hajj facilities(SHM Publisher, 2023) Rahman, Khalidur; Ghani, Noraida Abdul; Kamil, Anton AbdulbasahIn Hajj overflow of pilgrims causes queuing delay and in turn, is controlled by the capacity of facilities. The concept of flow control can be used to avoid the building of extreme queues. Thus, in this paper, a new analytical tool for measuring the performances of pilgrim movements in Hajj has been developed. The application of M/M/c/K queuing models for controlling the pilgrims and the design of facilities in Hajj is discussed. The paper also used some data on the flow of pilgrims for implementing the use of M/M/c/K queuing models for the above mentioned controlling and design. The result show that, the average number of pilgrims waiting in queue almost zero, because maybe most of the pilgrims only spend least then 12 second in the system.Öğe MAPLE AS A TOOL FOR THE TEACHING OF CYCLOTOMIC POLYNOMIALS ELEMENTARILY(Drustvo Matematicara Srbije, 2023) Zahedi, Zahedi; Kamil, Anton Abdulbasah; Fajriana, Fajriana; Siswadi, Siswadi; Almir, Almira; Suparni, SarminCyclotomic polynomials are an interesting topic and play an important role for other topics in Number Theory. For special values of n, computing a cyclotomic polynomial is not difficult; this can be done by using properties of the polynomial. For a prime value of n, the polynomial can be written quickly. However, for values which are multiples of odd prime numbers, say 85 = 17 . 5, the task can be quite difficult if it must be done manually. The polynomial has 41 terms and the degree of 64. Software for cyclotomic polynomials is available; Maple for example, can solve the problem of cyclotomic polynomials very easily. However, understanding of how to compute polynomials is very important for a student in applying various properties of the cyclotomic polynomial. Here, we will use Maple to help students understand cyclotomic polynomials from the basic. Answer is not obtained directly but step-by-step using properties of the polynomial. So, Maple is used to simulate the process of obtaining the polynomial. Once the students grasp the skill, they will be able to use the software for advanced applications.Öğe The Measures of Efficiency of Power Generation Plants in Sylhet of Bangladesh(HINDAWI LTD, ADAM HOUSE, 3RD FLR, 1 FITZROY SQ, LONDON W1T 5HF, ENGLAND, 2020) Ferdushi, Kanis Fatama; Kamil, Anton Abdulbasah; Ahmed, Saleh; Kawsar, Luthful AlahiThis study measures the performance of power generation plants in Sylhet region of Bangladesh considering twenty-four-month monthly dataset during 2013-14. To measure the performance of those plants, gross electricity generation was considered as output for the stochastic frontier model, whereas fuel consumption, lube oil consumption, auxiliary consumption, cost, heat rate, and hours of run were considered as input variables. Based on the log-likelihood hypothesis test, trans-log production model is preferred over Cobb-Douglas (C-D) production model for this study. The average efficiency of the selected plants is above 90 percent, and there is Sylhet Combined Cycle Power Plant (CCPP) which has an efficiency of about 78.6 percent for truncated normal distribution. In the time-variant inefficiency effects model, fuel consumption, cost, square product of lube oil consumption, interaction between fuel consumption and lube oil consumption as well as auxiliary consumption, and hours of run have a significant positive influence on power generation. On the other hand, some input variables such as hours of run and interaction between cost and heat rate have a significant negative influence on power generation. The estimated values of the time-varying inefficiency parameter q are positive for both the truncated and the half-normal distribution. This result indicates that technical efficiency has declined over the reference period of the study.Öğe Optimal routing of pedestrian flow in a complex topological network with multiple entrances and exits(TAYLOR & FRANCIS LTD, 2-4 PARK SQUARE, MILTON PARK, ABINGDON OR14 4RN, OXON, ENGLAND, 2020) Khalid, Ruzelan; Nawawi, Mohd Kamal Mohd; Kawsar, Luthful Alahi; Ghani, Noraida Abdul; Kamil, Anton Abdulbasah; Mustafa, AdliA real-world topological network consists of multiple entrances along its source nodes. Routing appropriate percentages of pedestrians from these entrances to the particular available routes with relevant arrival rates will improve the network’s performance. This paper presents a framework for finding the optimal arrival rates of pedestrians from all available entrances and routes to downstream nodes maximising the network’s throughput. The calculation of the arrival rates and movement directions is based on M/G/C/C analytical and simulation models and the network flow model and considers the real distances of the entrances along the source nodes. The framework was tested on the Tuanku Syed Putra Hall, Universiti Sains Malaysia, Malaysia. Extensive analyses of the performances of its available nodes especially on the achievable optimal throughputs were documented and discussed. Quantitative results show that the hall’s throughput is optimised when pedestrians’ arrival rates to all the available entrances and their movement directions are controlled within certain ranges.Öğe Prevalence and Associated Factors Related to Tobacco Consumption Among University Students in Malaysia(OPEN MEDICAL PUBL LLC, 14624 N 55 ST, SCOTTSDALE , AZ 85254, UNITED STATES, 2024) Chow, Chui Yi; Hasan, Md Zobaer; Kamil, Anton AbdulbasahTobacco consumption is one of the major public health concerns worldwide. Moreover, alternative tobacco and nicotine products (ATNPs) are growing in popularity, especially among young adults in the past decade. The study aimed to determine the prevalence and associated sociodemographic factors of tobacco consumption among university students. A cross-sectional study was carried out among 338 university students of a private Malaysian university from March to April 2021. Data was collected using a self-administered online questionnaire with items including sociodemographic information, user status of tobacco consumption and types of tobacco product used. Descriptive statistics, Pearson’s chi-square test, Fisher’s exact test and simple and multiple logistic regression analyses were performed using the IBM SPSS version 26.0 to analyse the data. The prevalence of tobacco consumption in this study was 8.6% and the main tobacco product used was manufactured cigarettes. In Pearson’s chi square test and Fisher’s exact test, current use of tobacco was significantly associated with nationality, ethnicity, religion, school, current level of education and parents, siblings and friends use of tobacco (p<0.05). In simple and multiple logistic regression analysis, being non-Malaysian, Indian, Muslim, year 4 student and having parents or siblings who used tobacco, all had statistically significant associations with the current use of tobacco (p<0.05). Findings of this study showed that the use of tobacco among university students is concerning and warrants the need to develop and implement a strategic anti-tobacco program to limit this behaviour among university students.
