Anbuso (Question Item Analysis System)

Anbuso is a web-based question item analysis platform managed by Pendidikan Matematika Universitas Lambung Mangkurat and actively used by educators with a consistent monthly active user base. The system was developed to help teachers and academic institutions evaluate the quality and effectiveness of examination questions in a more structured and data-driven way.

The platform supports both multiple-choice and essay-based assessments, providing comprehensive analytical tools to measure question quality across several important indicators. These include validity analysis, discrimination index analysis, reliability testing, and difficulty level measurement. Through these features, educators can better understand whether their exam questions are capable of accurately and fairly assessing student performance.

Anbuso was designed to simplify a process that is often time-consuming and technically complex when done manually. By automating statistical calculations and presenting the results in a clear and accessible format, the platform allows educators to focus more on improving learning outcomes rather than spending excessive time on manual analysis.

From a technical standpoint, the application was built using Laravel with Inertia.js and React, enabling a modern single-page application experience while maintaining the robustness of a Laravel backend. The system emphasizes responsiveness, scalability, and efficient data processing to support continuous usage by multiple educators and institutions.

This project represents a practical implementation of educational technology aimed at improving assessment quality, supporting evidence-based teaching practices, and helping educators create more reliable and academically sound examinations.