TY  - MANSCPT
AU  - Hafiz Hakimi Bin Mohd Rasani,
TI  - Insights from star programme: the performance, impact, and way  forward 
SN  - THE0010029 (Local)
PY  - 2023///
CY  - Kuantan Pahang
PB  - UMPSA
KW  - Center for Mathematical Sciences
KW  - Dissertations
KW  - Universities and colleges
KW  - Final Year Report
N1  - Center for Mathematical Sciences; Bachelor of Applied Science In Data Analytics With Honour -- Universiti Malaysia Pahang – 2023; Includes bibliographical references
N2  - Scholarship Talent Attraction and Retention (STAR) programme is a scholarship  programme that offered by Talent Corporation Malaysia Berhad (TalentCorp) in  partnership with Public Service Department (JPA) from government of Malaysia that was  launched since 2011 in order to give exceptional talent the chance to return to Malaysia  to contribute their bond. The STAR programme aims to gives JPA scholars the option to  provide private-sector government bond servicing. From this STAR programme, the  scholars will have the opportunity to work with Malaysian industry leaders through in  order to extend their horizons. This study presents a comprehensive analysis of the STAR  programme, focusing on its current landscape, trend patterns, and performance impact.  Employing a mixed-methods approach, the study utilizes a Tableau-based data  visualization dashboard to visualize the programme's current status, performs clustering  and trend analysis to identify patterns based on prevailing policy, employs survey  analysis and logistic regression modeling using R Programming Language to evaluate  performance, and conducts a comparative analysis with similar programmes in other  countries. Drawing from diverse data sources, including STAR programme scholars and  companies’ databases, scholar and company survey data, and information of other  countries’ similar programmes, this study provides significant findings and insightful  discussions. The data visualization findings provide valuable insights into key metrics  and trends, enabling the optimization of the programme. The trend analysis reveals  fluctuations and patterns in scholar registrations, contributing to the identification of  areas for improvement. Then, based on the logistic regression predictive model, the  majority of scholars expressed satisfaction with the programme, and significant effects  on satisfaction were found in relation to states and fields of study. Recommendations for  programme enhancement include diversifying fields, providing job placement flexibility,  strengthening international collaborations, and continual evaluation for improvement are  provided. These recommendations and insights aim to help TalentCorp regarding  potential changes and improvements to the STAR programme, align the STAR  programme with global best practices and foster the attraction and development of  exceptional talent, ultimately contributing to Malaysia's long-term growth and  development
ER  -