“…The Naive Bayes Classifier is a well-known generative algorithm that may use generative algorithms to classify unknown data. These classification engines have excellent performance in classifying Javanese alphabets (Diqi & Muhdalifah, 2020;Handayani, Herwanto, Chandrika, & Arai, 2021;Rasyidi, Bariyah, Riskajaya, & Septyani, 2021;Susanto, Atika Sari, Mulyono, & Doheir, 2021;Susanto, Sinaga, Sari, Rachmawanto, & Setiadi, 2018), vowels (Dewa & Afiahayati, 2018), speech levels (Ardhana, Cahyani, & Winarno, 2019;Nafalski & Wibawa, 2016), composition (Agus et al, 2021), dialect (Hidayatullah, Cahyaningtyas, & Pamungkas, 2020). None of research focused on the macapat classification, which consider the gap as a novelty in the area of Javanese Culture classification.…”