<![CDATA[In the current information era, decision-making in banking operations is often hindered by fragmented data and subjective performance evaluations. At Bank XYZ, employee performance monitoring is still conducted using conventional methods, resulting in delayed information and data inconsistencies. This study aims to design and develop a Business Intelligence-based employee performance dashboard to support objective and data-driven decision-making at the operational level. The research adopts the Design Science Research approach, consisting of six stages: problem identification, objective definition, design and development, demonstration, evaluation, and communication. The system is developed as a web-based application using HTML, PHP, JavaScript, and MySQL. Evaluation is conducted using the System Usability Scale involving 18 internal users. The results show a usability score of 70.55, indicating that the system falls into the acceptable category and is sufficiently usable to support performance monitoring and decision-making processes. This study contributes by providing an empirically validated Business Intelligence dashboard that is acceptable to users and tailored for operational banking environments. The findings highlight the importance of usability-oriented BI system design in improving decision-making effectiveness and operational efficiency in banking practice.]]>
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