In the implementation of lab work, there are many assessment criteria which affect the final scoring of a lab work. A university student must go through several stages in carrying out lab work. The problem arising is at the assessment stage, where lab work lecturers find it difficult to determine the ranking of lab work assessment for each student. The more criteria and alternative assessments arise, the more difficult it will be for the lab work lecturers to determine the priority of lab work participants' scores. This study focuses on making a fuzzy-based acquisition system which is the measurement result data in the lab work process. Furthermore, the data which have been determined by fuzzy with the provisions of the specified criteria, the entire criteria in the lab work process were used by analytic hierarchy process (AHP) method which was integrated in the web server application. The hierarchy levels represented the criteria for the lab work process, namely: pretest, lab work implementation, post test and lab work report-making. The implementation of lab work drawn from fuzzy output was one of the highest weight input criteria. The alternative used was a number of students attending the lab work, using AHP stages, including: decomposition, comparative judgment, synthesis of priority and logical consistency. This system was able to show the accuracy level with fuzzy and to select priorities from the assessment criteria and alternative lab work participants. The findings showed that the fuzzy-based data acquisition was able to provide recommendations for measurements on lab work based on the scores of membership degree and fire strength chosen with an error of less than 5%. The use of AHP was able to give the assessment priority to a number of criteria and alternative lab work assessments with the priority score from student 1 was 0.292, student 2 was 0.233, student 3 was 0.214 and student 4 was 0.261