Sistem Deteksi Kesalahan Pola Kalimat Bahasa Ngapak berbasis Algoritma Cocke-Younger-Kasami

Abstract

Language is an essential tool for communication in human life, including the distinctive Ngapak Javanese Language spoken in the western part of Central Java. Reluctance to use this dialect outside its region leads to a decline in pride and enthusiasm for preserving the culture. Furthermore, language errors often occur, both in terms of politeness and writing conventions. This study aims to develop a web-based sentence pattern error detection system using the Cocke-Younger-Kasami (CYK) Algorithm. The CYK algorithm is chosen for its ability to efficiently analyze sentence structures. The system is designed using HTML, PHP, and CSS to provide user interfaces and server-side processing. The research results show that the system can detect sentence pattern errors with high accuracy, supporting the preservation of the Ngapak Javanese Language and cultural identity through modern technology