Pengembangan Algoritma Stemming Bahasa Indonesia dengan Pendekatan Dictionary Base Stemming untuk Menentukan Kata Dasar dari Kata yang Berimbuhan

Zulfikar, Ahmad

doi:10.32493/informatika.v2i3.1443

Cited by 4 publications

(4 citation statements)

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“…Dalam proses pengindeksan, terdapat tahap stemming yang merupakan proses mengubah bentuk kata menjadi kata dasar. Proses ini sangat dipengaruhi oleh bahasa yang digunakan, karena harus mengaplikasikan aturan morfologi dari bahasa tersebut (Zulfikar, 2017).…”

Section: Information Retrievalunclassified

Perbandingan Algoritma Winnowing dan Algoritma Rabin-Karp pada Aplikasi Pendeteksi Kesamaan Dokumen Skripsi

Nangi,

Asmara,

Sarita

et al. 2024

JSinbis

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Plagiarism is often found in the academic world and is considered a serious violation because it involves the appropriation of ideas, opinions, or writings of others. A thesis is the final work of a student that must meet scientific standards and be tailored to the field of study. It is important to check the similarity of the thesis using a web-based sistem to prevent plagiarism and ensure academic integrity. This sistem will be developed as a web-based platform with the aim of comparing the Winnowing algorithm and the Rabin-Karp algorithm in checking the similarity of thesis/final project texts with existing thesis data. In principle, both methods involve searching for strings using hashing functions to compare the sought string (m) with the compared string (n) by comparing the results of the hashing function used. However, the Winnowing algorithm differs in that it does not use all hash values from each formed set of grams. The hash values formed in the previous stage will be divided into a window of size (w). In this research, the sistem testing uses data from Computer Engineering students at Halu Oleo University to facilitate checking the plagiarism level of theses using the Rabin-Karp and Winnowing algorithms. In this study, the Rabin-Karp and Winnowing algorithms have been implemented successfully in the plagiarism checking sistem for students' theses. The test results for the comparison of the Winnowing and Rabin-Karp algorithms in terms of processing time show that the Rabin-Karp algorithm takes 1.509 seconds, while the Winnowing algorithm takes 1.508 seconds. Subsequent testing using Normalized Mean Absolute Error (NMAE) reveals that the Rabin-Karp algorithm has an absolute error value of 0.1829, while the Winnowing algorithm has a value of 0.0194. Therefore, based on the NMAE test, the Winnowing algorithm performs better than the Rabin-Karp algorithm.

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Section: Information Retrievalunclassified

Perbandingan Algoritma Winnowing dan Algoritma Rabin-Karp pada Aplikasi Pendeteksi Kesamaan Dokumen Skripsi

Nangi,

Asmara,

Sarita

et al. 2024

JSinbis

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“…The preprocessing has several stages: Case Folding, Remove Punctuation, Tokenization, Stopword, and Stemming. Case Folding is the process of changing capital letters to lowercase [6], Remove Punctuation to clean documents from characters that cannot be read by the system [7], Tokenization to separate sentences into words [8], Stopword Removal is a process removing words that have no important meaning [8], and Stemming is the process of eliminating affixes for each word [9]. Examples of the results of each pre-processing stage can be seen in tables 2 and 3.…”

Section: Preprocessingmentioning

confidence: 99%

Sentiment Analysis Against IndiHome and First Media Internet Providers Using Ensemble Stacking Method

Fikri

Jondri

Astuti

2022

bits

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Customer satisfaction is one of the factors that can be used to measure the success of service in a company. In the era of the 2000s until now, internet service providers have continued to grow throughout the world, including in Indonesia. IndiHome and First Media are companies that provide internet services that make it easy for the public to communicate and obtain information. With many uses of IndiHome and First Media internet services, there are often several obstacles that cause various responses from users. Users usually channel these responses to IndiHome or First Media customer care on Twitter. The dataset for this study was obtained from Twitter using the Twitter API and the Tweepy library. The dataset that has been collected is 6.962 tweets for the IndiHome dataset and 8,089 tweets for the First Media dataset. This study conducts sentiment analysis using the Ensemble Stacking with three base classifiers and a meta classifier. The base classifier used is Naïve Bayes, K-Nearest Neighbor, and Decision Tree, while the meta classifier used is Logistic Regression. This study uses the term frequency-inverse document frequency (TF-IDF) to determine the frequency value of a word in a document. This study uses two test scenarios: testing without oversampling and testing with oversampling on the dataset. The results show that Ensemble Stacking with term frequency-inverse document frequency feature extraction produces the highest accuracy, with an accuracy value of 88.27% on the IndiHome dataset and 92.56% on the First Media dataset by oversampling on both datasets.

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“…Kemudian dijabarkan judul dan abstrak pada dokumen yang ingin dicari kemiripannya. Dari setiap daftar kalimat data uji dilakukan stemming yaitu dengan melakukan pendekatan terhadap struktur morfologi yang ada dalam bahasa yang sesuai dengan aturan imbuhan untuk dapat digunakan mengekstrak kata dasar (Zulfikar, 2017).…”

Section: Skenario Perhitungan Kemiripan Dokumen Dengan Cosine Similarityunclassified

Penerapan Algoritma Cosine Similarity untuk Deteksi Kesamaan Konten pada Sistem Informasi Penelitian dan Pengabdian Kepada Masyarakat

Nugroho

Septian

Pungkastyo

et al. 2021

JIUP

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Research and community service activities are the obligations of a lecturer that must be carried out from part of the Tri Dharma of Higher Education in addition to teaching, where research activities should have a level of innovation in the form of development or discovery of something new, but with a large number of lecturers, this results in research activities. and community service has many similarities with previous activities. At the Lembaga Penelitian dan Pengabdian kepada Masyarakat (LPPM), Pamulang University, experiencing several problems in the management of research and community service activities, namely the absence of a system used to manage research and community service activities and data related to the track record of research and community service activities that have been carried out by 2,613 lecturers who impact on the difficulty in finding data, efficiency of storage space and more importantly is the number of similar proposals in the research itself. The research carried out aims to develop an information system that can process research and community service activities and detect similarities in content by applying the Cosine Similarity algorithm, so that it can overcome existing problems. The system development method uses a waterfall. From the results of making the system that has been carried out, it shows that the system is capable of processing activities in the field of research and community service carried out by lecturers, supporting storage, and facilitating screening of proposals for research and community service activities that will be approved.

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Pengembangan Algoritma Stemming Bahasa Indonesia dengan Pendekatan Dictionary Base Stemming untuk Menentukan Kata Dasar dari Kata yang Berimbuhan

Cited by 4 publications

References 0 publications

Perbandingan Algoritma Winnowing dan Algoritma Rabin-Karp pada Aplikasi Pendeteksi Kesamaan Dokumen Skripsi

Perbandingan Algoritma Winnowing dan Algoritma Rabin-Karp pada Aplikasi Pendeteksi Kesamaan Dokumen Skripsi

Sentiment Analysis Against IndiHome and First Media Internet Providers Using Ensemble Stacking Method

Penerapan Algoritma Cosine Similarity untuk Deteksi Kesamaan Konten pada Sistem Informasi Penelitian dan Pengabdian Kepada Masyarakat

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