Leveraging Similarity Algorithms for Comparative Analysis of Learning Plan Documents and Standardization against Bloom's Taxonomy

The learning plan document is used to address the learning area within the learning environment. It also outlines the methodology to achieve the learning outcomes. Due to the unequal distribution of performance indicators, Indonesia implements a standard to ensure the quality of students from each higher education institution. However, the same study program sometimes does not have the same learning outcomes. Bloom's taxonomy is a hierarchical model that can be used to classify educational learning objectives into several levels of complexity and specificity. There are three domains in learning objectives: cognitive, affective, and psychomotor (not sensory). This Bloom's Taxonomy utilizes specific verbs to develop learning objectives in learning plan documents, or "Rencana Pembelajaran Semester"(RPS) in Indonesia. This research proposes a mechanism to measure the standard of RPS documents. This ensures that the same study program can have aligned learning outcomes based on Bloom's taxonomy standards. Similarity algorithms, such as Jaccard Similarity and TF-IDF Cosine Similarity, will be compared. An efficiency and effectiveness matrix is proposed to measure the best similarity algorithm for checking the standard of RPS documents. A web-based system is also developed to provide features that help align learning plans with the desired cognitive levels in Bloom's Taxonomy. This aims to enhance the effectiveness of the learning experience.