Skripsi
MODIFIKASI ALGORITMA STEMMING SASTRAWI MENGGUNAKAN RULE PRECEDENCE DAN PREFIX REMOVAL
Text pre-processing is increasingly important in the era of rapidly growing digital information One of the important stages in text processing is stemming, which aims to convert words to their basic form by cutting off certain prefixes or suffixes. The Indonesian stemming algorithm that is often used is Sastrawi. To improve the accuracy and efficiency of the stemming process, this research modifies the Sastrawi stemming algorithm using rule precedence and prefix removal. Rule precedence allows better handling of the priority order of removal, while prefix removal modification also aims to improve stemming accuracy. The method was tested through a series of correct stem accuracy tests using datasets from Kompas articles totaling 1666, 1888, 1736, and 1866 words respectively. The experimental results show that the modified Sastrawi stemming outperforms the baseline (Sastrawi Stemmer) with an average stemming accuracy improvement of 0.26%. This research makes an important contribution in the development of a more accurate Indonesian stemming algorithm in Indonesian text processing
Inventory Code | Barcode | Call Number | Location | Status |
---|---|---|---|---|
2407002020 | T142144 | T1421442024 | Central Library (References) | Available but not for loan - Not for Loan |
No other version available