Extraction of Malay Root Word that Starts with Letter P in Malay e-Khutbah using Rule Based

Stemming is an important process in text processing especially Natural Language Processing (NLP). It could extract root word from the affix words text. In addition, it helps extracting useful information that contributes to many area of research study such as Information Retrieval. Several stemming algorithms have been discussed previous studies. However, there are limited studies on Malay and number experimental data used. this study, we focus algorithm by using rule-based for a larger dataset language The syntactic linguistic method was used involves removing prefixes, suffixes and, prefixes suffixes. Training which consisted 3233 sentences e-khutbah result evaluation done measuring precision, recall f-measure. found showed promising based total each test. value F-measure increase 95%, 97% respectively. enhancement has shown significant impact general improved performance NLP applications.