Optimalisasi AI Writing Companion dengan Metaheuristic Algorithm Pada Teks English
DOI:
https://doi.org/10.31598/sintechjournal.v8i3.1988Keywords:
google colab, google sites, data processing, result visualization, artificial intelligenceAbstract
This study aims to optimize an AI Writing Companion through the application of a metaheuristic Genetic Algorithm (GA) to enhance English text analysis accuracy. The system evaluates vocabulary richness, sentence structure, word diversity, and grammatical correctness using the language-tool-python library. Implementation is conducted in Google Colab, and interactive result visualization is integrated via Google Sites. The GA effectively refines feature selection, identifying vocab_diversity as the dominant feature with an objective value of 0.9115. Testing on a 118-word input containing 90 unique words produced an average word length of 4.53, a diversity score of 0.763, and a grammar accuracy score of 0.983. Two grammatical errors were identified across seven sentences, resulting in a final score of 76.27, complemented by 8 gamification points. Users also receive qualitative feedback related to tense consistency and punctuation accuracy. The integration of gamification enhances user engagement, positioning the system not only as a correction tool but also as an interactive educational platform that fosters continuous improvement in English writing proficiency
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