Browsing by Author "Yapa, S.R."

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Open Access
Factors influencing the use of Robotic Process Automation Technology: A Study in the Sri Lankan Banking Sector
(ICSDB 2024 and SLIIT Business School, 2024-12-10) Perera, W.P.S.S.M.; Hettiarachchi, G.D.A.S.; Ekanayake, E.W.M.D.Y.I.R.; Yapa, S.R.; Dias, S.M.D.T.H.
The rapid changes in technology parallel the differences in the everyday life of human beings. Technology has significantly eased daily activities across various sectors, including education, communication, business, and the job industry. The research investigates the implementation of the Robotic Process Automation (RPA) in the banking sector in Sri Lanka. The study mainly focuses on the challenges and implementation of effective managerial practices, conducive banking processes and factors related to decision-making. The study took a quantitative approach, selecting 80 bank employees through stratified sampling to assure representation across bank departments, and distributing the survey questionnaire in person to obtain employee impressions of RPA deployment. A questionnaire for the employees is incorporated into the study as the primary research tool and the gathered information is statistically analyzed using SMART PLS. The research findings provide a critical importance of factors influencing the adoption of RPA technology within the Sri Lankan banking sector. Particularly, the study emphasizes the significance of Perceived Ease of Use and Management Support, while acknowledging both their strengths and weaknesses.
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Smart Exam Evaluator for Object-Oriented Programming Modules
(2020 2nd International Conference on Advancements in Computing (ICAC), SLIIT, 2020-12-10) Wickramasinghe, M.L.; Wijethunga, H.P.; Yapa, S.R.; Vishwajith, D.M.D.; Samaratunge Arachchillage, U.S.S.; Amarasena, N.
Worldwide educators considered that, automate the evaluation of programming language-based exams is a more challenging task due to its complexity and the diversity of solutions implemented by students. This research investigates and provides insight into the applicability and development of a java based online exam evaluator as a solution to traditional onerous manual exam assessment methodology. The proposed system allows students to take online exams in Java for an implemented source code in a practical exam, automatically reporting the results to the administrator simultaneously. Accordingly, this research examines existing methods, identifies their limitations, and explores the significance of introducing a smart object-oriented program-based exam evaluator as a solution. This method minimizes all human errors and makes the system more efficient. An automated answer checker checks and marks are given as human-counterpart and generate a report with possible suggestions for improvement of the answer scripts and generate a classification report to predict the student’s final exam marks. This software application uses a Knowledge base, Abstract Syntax tree (AST), ANTLR, Image processing, and Machine Learning (ML) as key technologies. The proposed system gains a higher accuracy of 95% as performed by a separate human-counterpart. These results show a high level of accuracy and automate marking is the major emphasis to save human evaluation effort and maximize productivity.