Application of Deep Learning for Handwriting Recognition of Lota Ende Activities Using the Convolutional Neural Networks (CNN ) Methods
Penerapan Deep Learning untuk Pengenalan Tulisan Tangan Bahasa Akasara Lota Ende dengan Menggunakan Metode Convolutional Neural Networks (CNN)
DOI:
https://doi.org/10.21070/ups.1206Keywords:
Data Mining, Text Mining, Deep Learning, Convolutional Neural NetworksAbstract
The Lota Script it a derivative of the bugis script. The Bugis people who live in ende bring civitzation and culture, including their script.According to historical records, the Lota manuscript ended araound the 16th century,and during the reign of King XIV Goa, I Mangnrangi Daeng Manrabia Had theTitle Sultan Alauddin (1593-1639). During the adaptation process,the Ende script was developed after the ende system became the lota script.The Ende script was originally written with the tip of a knife on wunu koli (palm leaf) paper before the paper entered the Archipelago.The lontar script actually originates from outside the Flores region, namely the Bugis, Who are known to use the Lontar script (Bugis Script).
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