{'fraction_non_alphanumeric': 0.019672131147540985, 'fraction_numerical': 0.01092896174863388, 'mean_word_length': 5.273972602739726, 'pattern_counts': {'":': 0, '<': 0, '<?xml version=': 0, '>': 0, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
Usability Analysis using Principal Component Analysis (PCA) Method for Online Fish Auction Application

Information systems or applications that are implemented and used by users need to go through top-level analysis, according to the needs of information systems or applications that can be used. Testing and usability analysis and user engagement scale needs to be done to measure the level of usage of the online fish auction application. This analysis uses the Kaiser-Meyer-Olkin Measure of Sampling Adequacy and Bartlett's Test of Sphericity methods for testing validity. And use the Principal Component Analysis method for dimension factors that represent all dimensions. Indicator test results show some of the most important variables, namely PUS5 and FI3 with the largest values of 0.926 and 0.792, which are indicators that represent the variables of Engagement (Perceived Usability and Felt Involvement).