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All Journal Enthusiastic : International Journal of Applied Statistics and Data Science
Nora Binti Muda
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Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Engineering Mathematics

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Marketability Study of Mathematical Sciences Students in Universiti Kebangsaan Malaysia (UKM) Lim Chui Ting; Ong Wen Xuan; Muhammad Aris Fadzilah, Nurulain Nabilah Binti; Nora Binti Muda
Enthusiastic : International Journal of Applied Statistics and Data Science Volume 3 Issue 1, April 2023
Publisher : Universitas Islam Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20885/enthusiastic.vol3.iss1.art9

Abstract

Higher Education Institute (HEI) has a vital role in developing human capital of a country. Measuring the quality of teaching and learning system in HEI and also industry’s satisfaction level is important to ensure the marketability of HEI graduates. This study examined Universiti  Kebangsaan Malaysia (UKM) Mathematical Sciences students’ marketability by determining industry’s satisfaction level on students’ skills and abilities during industrial training and identifies factors that affect students’ marketability. There were 22 student attributes that were categorized into four factors. Mean scores and Relative Importance Analysis determined the satisfaction and importance level of each attribute studied respectively. Besides, Penalty-Reward Contrast Analysis (PRCA) showed that affective factor was categorized as a basic factor where its existence did not increase but its absence decreased the industry’s satisfaction level. For Importance Performance Analysis (IPA), cognitive, affective, and cognitive & psychomotor factors were observed in the first quadrant which had high importance level but low performance level. Lastly, all four factors were found in the loyal customer zone and at an excellent level through Customer Satisfaction Index (CSI) analysis. In conclusion, UKM Mathematical Sciences students have high marketability in general, but preservation and improvement should be implemented on important attributes to enhance their marketability.
Multiple Correspondence Analysis towards the Change of Income and Sociodemographic of Citizens due to COVID-19 Pandemic in Malaysia Ong Wen Xuan; Lim Chui Ting; Nurulain Nabilah Binti Muhammad Aris Fadzilah; Nora Binti Muda
Enthusiastic : International Journal of Applied Statistics and Data Science Volume 2 Issue 2, October 2022
Publisher : Universitas Islam Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20885/enthusiastic.vol2.iss2.art5

Abstract

This paper intends to observe the economic impact and spending patterns of citizens when the spread of coronavirus occurred uncontrollably in Malaysia. The data used in this paper is the result of a first-round Special Survey ‘Effect of COVID-19 on Economy and Individual’ conducted by the Department of Statistics Malaysia. Based on the paired-t test, all the aspects tested are found to have significant differences before and during the pandemic. This is likely because citizens comply with the rules set during Movement Control Order. Next, the Chi-square test between the changes in citizens’ monthly income and sociodemographic factors are significantly associated. Therefore, factors state, gender, ethnicity, and age group of citizens are used in further analysis of multiple correspondence (MCA) to study the relationship between several categorical variables. Hence, citizens of age group 35­–44 years old from Central region and Chinese citizens have no changes in their income before and during the pandemic. Citizens of age group 15–34 years old and Northern region have both increment or reduction income whereas men citizens received lower-income payments. Indian women and citizens from Eastern region tend to not work during the pandemic. This study can be a guide to the government in overcoming social problems. 
Co-Authors Lim Chui Ting Muhammad Aris Fadzilah, Nurulain Nabilah Binti Nurulain Nabilah Binti Muhammad Aris Fadzilah Ong Wen Xuan