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All Journal JOIN (Jurnal Online Informatika) Jurnal PkM MIFTEK
Nasrulloh, Muhammad Rikza
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Humanities Computer Science & IT Economics, Econometrics & Finance Languange, Linguistic, Communication & Media Social Sciences Other

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Multi Rule-based and Corpus-based for Sundanese Stemmer Sutedi, Ade; Nasrulloh, Muhammad Rikza; Elsen, Rickard
JOIN (Jurnal Online Informatika) Vol 7 No 2 (2022)
Publisher : Department of Informatics, UIN Sunan Gunung Djati Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15575/join.v7i2.846

Abstract

The purpose of this study is to develop a stemming method by involved several methods including morphological (with affix and pro-lexeme removal), syllable (canonical) pattern, and corpus data as a comparison of the final results of stemming. The algorithm checks a number of the string first and removes affixes, then check the syllable pattern according to the stripping result, then compares to the corpus data which determines the final stemming process. In this study, the corpus data was taken from Sundanese dictionary consists of a single word used for the root word and the extracted dataset from the online Sundanese magazine. The results showed that the stripping of affix and pro-lexeme can remove the corresponding affixes and pro-lexeme then compares words that have a syllable pattern then executes the basic words quickly and the use of corpus can improve accuracy and reduce the over-stemming problems that occur in the stemming process.
Pelatihan Aplikasi Pembayaran Non Tunai Untuk Menurunkan Risiko Penularan Covid-19 di Garut Cahyana, Rinda; Nasrulloh, Muhammad Rikza; Fitriani, Leni; Dianto, Fajar Eri
Jurnal PkM MIFTEK Vol 1 No 2 (2020): Jurnal PkM MIFTEK
Publisher : Institut Teknologi Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (475.36 KB) | DOI: 10.33364/miftek/v.1-2.176

Abstract

Pandemi Covid-19 melahirkan protokol jaga jarak fisik. Model pembayaran tanpa sentuhan dan non tunai mendukung pelaksanaan protokol tersebut. Kegiatan pengabdian kepada masyarakat ini bertujuan untuk memberikan keterampilan mengoperasikan perangkat lunak aplikasi QRen kepada masyarakat, sehingga model pembayaran tersebut dapat terwujud. Kegiatan berhasil membuat 803 warga mengetahui cara mengoperasikan aplikasi QRen.
Sundanese Stemming using Syllable Pattern Sutedi, Ade; Elsen, Rickard; Nasrulloh, Muhammad Rikza
JOIN (Jurnal Online Informatika) Vol 6 No 2 (2021)
Publisher : Department of Informatics, UIN Sunan Gunung Djati Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15575/join.v6i2.812

Abstract

Stemming is a technique to return the word derivation to the root or base word. Stemming is widely used for data processing such as searching word indexes, translating, and information retrieval from a document in the database. In general, stemming uses a morphological pattern from a derived word to produce the original word or root word.  In the previous research, this technique faced over-stemming and under-stemming problems. In this study, the stemming process will be improved by the syllable pattern (canonical) based on the phonological rule in Sundanese. The stemming result for syllable patterns gets an accuracy of 89% and the execution of the test data resulted in 95% from all the basic words. This simple algorithm has the advantage of being able to adjust the position of the syllable pattern with the word to be stemmed. Due to some data shortage constraints (typo, loan-word, non-deterministic word with syllable pattern), we can improve to increase the accuracy such as adjusting words and adding reference dictionaries. In addition, this algorithm has a drawback that causes the execution to be over-stemming.
Co-Authors Ade Sutedi, Ade Dianto, Fajar Eri Elsen, Rickard Leni Fitriani, Leni Rinda Cahyana