Measuring Performance of N-Gram and Jaccard-Similarity Metrics in Document Plagiarism Application

Diana, Nova Eka; Ulfa, Ikrima Hanana

doi:10.1088/1742-6596/1196/1/012069

Cited by 9 publications

(6 citation statements)

References 11 publications

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“…Tahap ketiga adalah eksperimen. Artikel diukur kemiripannya menggunakan Jaccard Similarity Coefficient (Rumus 1, [10]) untuk tiap atribut. Nilai similarity dari ketiga atribut digabungkan menggunakan weighted sum [11].…”

Section: Metodeunclassified

Analisis Komparatif Pengukuran Kemiripan Artikel Ilmiah menggunakan Jaccard dan Levenshtein serta Blocking

Nur,

Buana,

Rakhmawati

2023

JuTISI

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Mesin pencarian artikel telah memudahkan akademisi melakukan studi literatur. Namun, mudah bukan berarti akurat. Untuk topik niche tertentu, hasil pencarian sering kali belum sesuai. Snowballing dapat dilakukan untuk mengatasi ini, tapi terbatas pada artikel awal yang dimiliki, khususnya akses penulis ketika artikel dibuat. Sebagai alternatif, database artikel menyediakan rekomendasi artikel relevan dari sebuah artikel, tapi terbatas pada database itu saja. Sebuah alat untuk mencari artikel mirip tanpa tergantung database tertentu akan sangat membantu, tapi sebelum itu, metode pengukuran kemiripan artikel yang tepat perlu dicari. Penelitian ini bertujuan melakukan pengukuran kemiripan artikel berdasarkan judul, penulis, dan keyword menggunakan Weighted Jaccard Measure dan Levenshtein distance dan mengevaluasinya. Penelitian ini juga membandingkan kinerja dengan ditambahkannya blocking dengan overlap blocking dan penghilangan stop words. Hasil pengukuran dengan Jaccard cukup buruk, tapi hasil pengukuran dengan Levenshtein + Jaccard cukup baik. Selain itu, ditemukan bahwa menitikberatkan pembobotan pada judul menghasilkan hasil terbaik. Overlap blocking dan penghilangan stop words justru meningkatkan waktu pemrosesan secara signifikan. Overlap blocking bisa mengurangi jumlah pengukuran hingga hampir setengahnya dengan jumlah overlap=1, tapi jumlah overlap di atas 1 akan membuang banyak pasangan yang seharusnya mirip. Penghilangan stop words meningkatkan kinerja Jaccard dan Levenshtein tapi perlu penyesuaian threshold.

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Section: Metodeunclassified

Analisis Komparatif Pengukuran Kemiripan Artikel Ilmiah menggunakan Jaccard dan Levenshtein serta Blocking

Nur,

Buana,

Rakhmawati

2023

JuTISI

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“…Typically, the Jaccard coefficient is used for gauging the similarity and diversity between sample sets. Thus, it has been used in a wide range of application including community detection in social networks [30], document and web pages plagiarism [31], attack detection [32], market analysis [33], etc. In this paper, we use the Jaccard coefficient to measure the degree of spatial correlation, e.g.…”

Section: Jaccard Coefficientmentioning

confidence: 99%

LOGO: an efficient local and global data collection mechanism for remote underwater monitoring

Baalbaki

Harb

Kwekha-Rashid

et al. 2022

J Wireless Com Network

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The oceans play an important role in our daily life and they form the lungs of our planet. Subsequently, the world ocean provides so many benefits for humans and the planet including oxygen production, climate regulation, transportation, recreation, food, medicine, economic, etc. However, the oceans suffer nowadays from several challenges ranging from pollution to climate change and destruction of underwater habitat. Hence, the use of remote sensing technologies, like sensor networks and IoT, is becoming essential in order to continuously monitor the wide underwater areas and oceans. Unfortunately, the limited battery power constitutes one of the major challenges and limitations of such technologies. In this paper, we propose an efficient LOcal and GlObal data collection mechanism, called LOGO, that aims to conserve the energy in remote sensing applications. LOGO is based on the cluster scheme and works on two network stages: local and global. The local stage is at the sensor node and aims to reduce its data transmission by eliminating on-period and in-period data redundancies. The global stage is at the autonomous underwater vehicle (AUV) level and aims to minimize the data redundancy among neighboring nodes based on a spatial-temporal node correlation and Kempe’s graph techniques. The simulation results on real underwater data confirm that LOGO mechanism is less energy consumption with high data accuracy than the existing techniques.

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“…Pengelompokan pola leksikal yang berbeda memungkinkan untuk mewakili hubungan semantik antara dua kata secara akurat. [11].…”

Section: Pendahuluanunclassified

Deteksi Kesamaan Teks Jawaban pada Sistem Test Essay Online dengan Pendekatan Neural Network

Putra

Jhonarendra

Rusjayanthi

2021

RESTI

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E-learning is an online learning system that applies information technology in the teaching process. E-learning used to facilitate information delivery, learning materials and online test or assignments. The online test in evaluating students’ abilities can be multiple choice or essay. Online test with essay answers is considered the most appropriate method for assessing the results of complex learning activities. However, there are some challenges in evaluating students essay answers. One of the challenges is how to make sure the answers given by students are not the same as other students answers or 'copy-paste'. This study makes a similarity detection system (Similarity Checking) for students' essay answers that are automatically embedded in the e-learning system to prevent plagiarism between students. In this paper, we use Artificial Neural Network (ANN), Latent Semantic Index (LSI), and Jaccard methods to calculate the percentage of similarity between students’ essays. The essay text is converted into array that represents the frequency of words that have been preprocessed data. In this study, we evaluate the result with mean absolute percentage error (MAPE) approach, where the Jaccard method is the actual value. The experimental results show that the ANN method in detecting text similarity has closer performance to the Jaccard method than the LSI method and this shows that the ANN method has the potential to be developed in further research.

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Measuring Performance of N-Gram and Jaccard-Similarity Metrics in Document Plagiarism Application

Cited by 9 publications

References 11 publications

Analisis Komparatif Pengukuran Kemiripan Artikel Ilmiah menggunakan Jaccard dan Levenshtein serta Blocking

Analisis Komparatif Pengukuran Kemiripan Artikel Ilmiah menggunakan Jaccard dan Levenshtein serta Blocking

LOGO: an efficient local and global data collection mechanism for remote underwater monitoring

Deteksi Kesamaan Teks Jawaban pada Sistem Test Essay Online dengan Pendekatan Neural Network

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