ABSTRACT

Web.based tax assessment system is an online structured process used by tax authorities to evaluate and determine the amount oftax a entity is liable to pay. The aim ofthe study is to develop a webbased tax assessment system that enhances the efficiency, accuracy, and transparency of the tax assessment process. The motivation that led to the implementation of the proposed system is that the manual processes often lack clear documentation and standardization, creating room for manipulation, bribery, and under-assessment. Data were collected from respondents, comprising both taxpayers and tax administrators. The analysis of the findings revealed that 78.2% of respondents found the current manual assessment method time-consuming and prone to errors, while 84.2% agreed that a web-based system would improve accessibility and convenience. Additionally, 81.9% of participants believed that automation would reduce human error and promote voluntary compliance. The findings also showed that 69.9% ofrespondents supported the integration oftax assessment with other national databases for real-time validation, and 73.7% indicated that trust in tax authorities would improve with a transparent, automated platform. The methodology adopted in this study is the object-oriented analysis and design methodology (OOADM) which is a technical approach for analyzing and designing an application or system by applying object throughout the software development process. The web programming languages (HTML, CSS, JAVASCRIPT, and PHP) was used in the software development process because, it is platform independent and it is a web-based application. The deployment ofthe proposed system will benefit taxpayers by offering a user-friendly interface where they can easily register, input relevant information, calculate their tax liabilities, and generate assessment reports without visiting tax offices. It will also reduce the time, stress,' and cost often associated with tax compliance and will encourage a culture of voluntary compliance among individuals and businesses. The expected result is a web-based tax assessment system that will enable automatic tax computation based on user-submitted financial data.