Enhanced Confix Stripping Stemmer And Cosine Similarity For Search Engine in The Holy Qur’an Translation

Jauhari, Achmad; Suzanti, Ika Oktavia; Pramudita, Yoga Dwitya; Husni,; Diantisari, Nourma Pangestika Wulan

doi:10.1109/itis50118.2020.9321041

Cited by 4 publications

(2 citation statements)

References 18 publications

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“…The cosine similarity method is a method used to determine the similarity value between two objects. The similarity value of the two documents resulting from the cosine similarity method is obtained from two vectors that compare two text documents where the values used range from 0 to 1, then the documents are considered similar when the cosine value is 1 [15].…”

Section: Cosine Similaritymentioning

confidence: 99%

Medical Information Retrieval with Weighting Critical Score for Acute Respiratory Infection (ARI) Desease Detection

Fika Hastarita Rachman,

Rike Ayu Arista,

Ika Oktavia Suzanti

et al. 2023

Technium

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Medical Information Retrieval (Med-IR )is part of computer science that discusses the search for a medical document. Medical Information Retrieval is needed by patients to know the initial prediction of the symptoms they are experiencing. ARI (Acute Respiratory Infection) is a disease that almost everyone has experienced which can cause death. This study uses a dataset of ARI sufferers and user queries that contain symptoms in text form. Furthermore, the query data is processed with the Med-IR application using Bi-Gram, TF-IDF as the feature extraction and Cosine Similarity as the similarity method, so that a return document is produced which is expected to be used as an early prediction of ARI in patients. The research also uses a critical disease wighting process, so that the results of the Med-IR are complemented by predictions of the severity level of the disease. From the results of research conducted at the Assyafi'u Sentosa Lengkong Clinic, Nganjuk, the best results were obtained for precision values of 85.5% and 52.9% for recall values . The evaluation of disease severity with Mean Absolute Percentage Error (MAPE) getting a low score of 2,529%. Keyword : Medical Information Retrieval, ARI, Weighting critical disease, Bi-Gram, TF-IDF, Cosine Similarity.

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Section: Cosine Similaritymentioning

confidence: 99%

Medical Information Retrieval with Weighting Critical Score for Acute Respiratory Infection (ARI) Desease Detection

Fika Hastarita Rachman,

Rike Ayu Arista,

Ika Oktavia Suzanti

et al. 2023

Technium

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“…Porter methods that are widely used in Indonesian are Porter stemmer [14], Nazief & Adriani [15], Enhanced Confix Stripping (ECS) Stemmer [16], [17][18] [19]. Porter's method requires a shorter time but has a smaller percentage of accuracy (precision) compared to Nazief & Adriani [20] [21].…”

Section: Introductionmentioning

confidence: 99%

Comparison of Stemming and Similarity Algorithms in Indonesian Translated Al-Qur'an Text Search

Suzanti,

Jauhari

2022

kursor

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The long history of information retrieval did not begin with Internet. Prior to widespread public daily use of search engines, in the 1960s information retrieval systems were discovered in commercial and intelligence applications. There are two stages in Information Retrieval in doing its main job which is to preprocessing text and to calculate similarity between term (word) and query (keyword) user searched for in a document. Stemming is final stage of pre-processing in an information retrieval system. The way stemming works is to remove affixes from a word, in form of prefixes, suffixes and insertions into form of basic word. Thus, in this paper we did compare search on information retrieval system without using stemming algorithm, using stemming Porter, Nazief & Adriani and Enhanced Confix Stripping with similarity method used is cosine similarity and dice similarity. Based on test results, text search ability on dice similarity is faster in stemming process with Porter Stemmer and ECS algorithms. While in Nazief & Adriani algorithm and without stemming, cosine similarity is faster than dice similarity.

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Performance Analysis of Naïve Bayes Classifier Algorithm with Chi-Square and Confix Stripping Stemmer Selection Features In Hadits Translation Classification System

Masruroh

Ramadhani

Wardhani

et al. 2022

2022 3rd International Conference on Big Data Analytics and Practices (IBDAP)

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Enhanced Confix Stripping Stemmer And Cosine Similarity For Search Engine in The Holy Qur’an Translation

Cited by 4 publications

References 18 publications

Medical Information Retrieval with Weighting Critical Score for Acute Respiratory Infection (ARI) Desease Detection

Medical Information Retrieval with Weighting Critical Score for Acute Respiratory Infection (ARI) Desease Detection

Comparison of Stemming and Similarity Algorithms in Indonesian Translated Al-Qur'an Text Search

Performance Analysis of Naïve Bayes Classifier Algorithm with Chi-Square and Confix Stripping Stemmer Selection Features In Hadits Translation Classification System

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