Implementation of Pattern Matching Algorithm for Portable Document Format

Yudhana, Anton; Sunardi, Sunardi; Djayali, Abdul Djalil

doi:10.14569/ijacsa.2017.081162

Cited by 10 publications

(4 citation statements)

References 3 publications

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“…3) Filtering: Remove words that have been listed in the stopword or stoplist. Stopwords are words that often appear in large amounts of text and are considered to have no significance [21]. In this study, there is no words are deleted because each word will be verified in the database.…”

Section: ) Case Foldingmentioning

confidence: 99%

Indonesian Words Error Detection System using Nazief Adriani Stemmer Algorithm

Yudhana¹,

Fadlil²,

Rosidin³

2019

IJACSA

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Stemming in each language has a different process and is determined according to the structure of the language. Stemming is mostly used as a complete step in the processing of words and phrases. There are many stemming algorithms available, and some used as a process for word processing. One function of stemming is to detect word errors in Indonesian. In this study, researchers created the Indonesian words error detection system using Nazief and Adriani algorithm. In the trials conducted, the system will accept text input obtained from the user. Then the system will preprocess the text. In this study, there are three stages of preprocessing, namely tokenization, case folding, and filtering. After the stages in preprocessing are finished, the system will call each word for the process of stemming. The results of the stemming will be compared with the base words available in the database. If it does not match, then the word is highlighted and is considered an error word. The first finding is the Nazief Adriani's algorithm can be able to detect words error until 100%. The second finding is the Nazief Adriani's algorithm also detect non-words error, the accuracy of detecting is 97.464%.

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Section: ) Case Foldingmentioning

confidence: 99%

Indonesian Words Error Detection System using Nazief Adriani Stemmer Algorithm

Yudhana¹,

Fadlil²,

Rosidin³

2019

IJACSA

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“…Untuk mengetahu isi dokumen yang benar sesuai dengan kebutuhan informasi, diperlukan metode pencarian string (string searching) isi dokumen yang bagus. Proses pencocokan string (string matching) yang merupakan bagian utama dalam proses pencarian string memegang peranan penting untuk mendapatkan dokumen yang sesuai dengan kebutuhan informasi [8]. Algoritma boyer moore menjadikan dalam pencarian lebih cepat dibandingkan algoritma-algoritma pencocokkan kata lainnya.…”

Section: B Algoritma Boyer Mooreunclassified

Penerapan Algoritma Algoritma Boyer Moore untuk Penyaringan Pesan dan Algoritma Hill Cipher dalam Keamanan Pesan Teks Berbasis Web Chat

Alasi¹

2019

KAKIFIKOM

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Web chat merupakan halaman situs untuk saling berbagi informasi komunikasi melalui pesan teks, suara, vidio dan file yang dapat diakses dengan masuk ke dalam sistem aplikasi yang disediakan oleh situs. Khusus untuk berbagi pesan teks melalu web chat sering berisi kata-kata yang tidak baik sehingga hal-hal yang tidak diinginkan terjadi seperti saling membalas kata-kata yang tidak baik bahkan berahir dengan perkelahian dan penyedia juga kurang memperhatikan keamanan dalam proses pesan teks sehingga pesan mudah dibajak oleh orang yang tidak berkepentingan dengan macam-macam tujuan, dua permasalahan tentu tidak diinginkan oleh seseorang pada saat berbagi pesan. Dengan segala permasalahan yang diuraikan ternyata ada suatu penyelesaian masalah tersebut yaitu dengan memanfaatkan algoritma boyer moore yaitu proses pencarian kata dari kanan karakter ke kiri karakter sehingga proses pencarian tek pada kata lebih cepat sehingga tidak ada yang terlewatkan dari teks sampai menumukan kata yang tidak pantas dan disaring atau disembunyikan dan memakai algoritma hill cipher dengan penyandian hingga perubahan pada pesan teks dengan proses aritmatika matriks sehingga kunci dan pembuka tidak sama dan susah dipecahkan sekalipun karakter pada teks sama. Sehingga dengan mengunakan dua algoritma tersebut yaitu algoritma boyer moore dan algoritma hill cipher dua permasalahan tersebut dapat diselesaikan yaitu penyaringan pesan teks dan pengamanan pesan teks

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“…The size of a person performing a plagiarism act will be determined by similarity percentage level [5], [6]:…”

Section: )mentioning

confidence: 99%

“…Prior research has implemented several algorithms that function as document fingerprints to detect plagiarism such as rabin-karp algorithm, winnowing algorithm, smith-waterman algorithm and so on [5]- [8]. However, these algorithms can only check every word in the document file and can not check the action of plagiarism done by taking other people's work in foreign language written by another language.…”

Section: Introductionmentioning

confidence: 99%

Implementation of Winnowing Algorithm with Dictionary English-Indonesia Technique to Detect Plagiarism

Yudhana¹,

Sunardi²,

Mukaromah³

2018

ijacsa

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The ease of obtaining information that is easy, fast, and cheap from all over the world through the internet network can encourage someone to take action plagiarism. Plagiarism is an intellectual crime that often occurs in the writing world where the perpetrators take the work of others without declaring the original source; if it continues to be left it will have a negative impact on the academic community and can be a chronic disease in the progress of a nation. At this time, the process of plagiarism detection is done manually and automatically using the help of technological developments (plagiarism detection), but the automatic checks available now mostly just check every letter character contained in the document, cannot check where the plagiarist takes a quote from a foreign language and changed in plagiarist language. Detection of plagiarism in this study will use a winnowing algorithm that has a function to check every character in two samples by hashing method that can generate fingerprint from two documents. While the dictionary method English-Indonesia change the writing from English to Indonesian language. This research will produce plagiarism detection using winnowing algorithm with English-Indonesian dictionary technique.

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Implementation of Pattern Matching Algorithm for Portable Document Format

Cited by 10 publications

References 3 publications

Indonesian Words Error Detection System using Nazief Adriani Stemmer Algorithm

Indonesian Words Error Detection System using Nazief Adriani Stemmer Algorithm

Penerapan Algoritma Algoritma Boyer Moore untuk Penyaringan Pesan dan Algoritma Hill Cipher dalam Keamanan Pesan Teks Berbasis Web Chat

Implementation of Winnowing Algorithm with Dictionary English-Indonesia Technique to Detect Plagiarism

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