Automation of Teaching Quality Survey Processing for Lecturers via Integrated TOPSIS Calculation

Abstract

Faculty teaching quality in a vocational study program was previously monitored manually, which risked calculation errors and failed to prevent duplicate evaluations. This research presents a prototype application that integrates student evaluations, data validation, and calculations based on the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) into a single system. The development followed a prototyping model and used four faculty competencies as evaluation criteria. The system enforces rules requiring one evaluation per faculty member, at least one entry for each competency, and a minimum number of evaluators. Black-box testing across ten scenarios confirmed that all functions operate as intended. System-generated calculations matched manual calculations up to four decimal places. An implementation involving 485 evaluations provided by 100 students regarding six faculty members revealed that "professional competence" received the lowest scores across all faculty. A System Usability Scale assessment yielded an average score of 94.42 from 13 respondents. This system enables study programs to process faculty evaluations quickly and accurately, providing a foundation for professional development training.