DEVELOPMENT OF MULTIPLE INTELLIGENCES-BASED STATISTICS E-BOOKLET TO IMPROVE THE LEVEL OF STUDENTS' STATISTICAL LITERACY SKILLS

This research aims to develop a valid and effective multiple intelligences-based statistical e-booklet (MI e-booklet) to improve students' statistical literacy skills. This research was conducted using a Research and Development (R&D) approach with a Borg and Gall development model with eight steps: (1) research, (2) planning, (3) developing product, (4) preliminary field testing, (5) main revision product, (6) main field testing, (7) final revision, and (8) Implementation. The research method is a Pre-experimental one, group pretest-posttest design, and the subject of this study consists of 4 validators (media and materials) for the validity of the MI e-booklet, small group students (10 students) and large group students (30 students) to see the effectiveness of the MI e-booklet. The type of research data is questionnaires, assessment scales, interviews, and tests with data analysis using data triangulation, scoring, and prerequisite tests for normality and homogeneity of data, paired sample t-tests, and N-gain tests. The results of the validation of the MI e-booklet developed to have a very high level of validity based on the assessment of material and media expert validators. Field trials also showed that the MI e-booklet was effective in improving the level of students' statistical literacy skills because it had good readability in small-group subjects, and statistical testing of the test in large groups found that the p-value < Sig.(2-tailed), which means H1 was accepted with an N-gain value of 0.52 in the moderate effectiveness category. Thus, the e-booklet of statistics based on multiple intelligences is declared valid and effective for use as a learning medium and contributes positively to improving students' statistical literacy skills.