Classification of Hearing Loss Degrees with Naive Bayes Algorithm
According to the World Health Organization (WHO), hearing loss is one of the fourth leading causes of disability. The number of people with hearing loss continues to increase yearly. This increase occurred due to delays in recognizing hearing loss, leading to delays in providing treatment. To solve...
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| Format: | Article |
| Language: | English |
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Ikatan Ahli Informatika Indonesia
2023-08-01
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| Series: | Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) |
| Subjects: | |
| Online Access: | http://jurnal.iaii.or.id/index.php/RESTI/article/view/4683 |
| _version_ | 1797326817097416704 |
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| author | Okky Putra Barus Romindo Jefri Junifer Pangaribuan |
| author_facet | Okky Putra Barus Romindo Jefri Junifer Pangaribuan |
| author_sort | Okky Putra Barus |
| collection | DOAJ |
| description | According to the World Health Organization (WHO), hearing loss is one of the fourth leading causes of disability. The number of people with hearing loss continues to increase yearly. This increase occurred due to delays in recognizing hearing loss, leading to delays in providing treatment. To solve this problem, one solution to deal with this is early identification to detect the degree of hearing loss. This research will use machine learning to classify the degree of hearing loss. The algorithm implemented in this study is naive Bayes. This study uses a data set from the Zenodo open access repository with 3105 raw data and 19 features. This study evaluates the performance of overall accuracy, precision, recall, and f1-score and classified four classes: mild, moderate, moderately severe, and severe. The methodology classification stages in this study include data preprocessing, data training, data testing, and evaluation. From evaluating the performance of the Naive Bayes algorithm, the classification results obtained the highest impacts in the form of 94% overall accuracy, 100% precision, 100% recall and 97% f1-score in classifying the degree of hearing loss. |
| first_indexed | 2024-03-08T06:29:38Z |
| format | Article |
| id | doaj.art-bdb071d2851d43459947348604666837 |
| institution | Directory Open Access Journal |
| issn | 2580-0760 |
| language | English |
| last_indexed | 2024-03-08T06:29:38Z |
| publishDate | 2023-08-01 |
| publisher | Ikatan Ahli Informatika Indonesia |
| record_format | Article |
| series | Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) |
| spelling | doaj.art-bdb071d2851d434599473486046668372024-02-03T12:23:48ZengIkatan Ahli Informatika IndonesiaJurnal RESTI (Rekayasa Sistem dan Teknologi Informasi)2580-07602023-08-017475175710.29207/resti.v7i4.46834683Classification of Hearing Loss Degrees with Naive Bayes AlgorithmOkky Putra Barus0Romindo1Jefri Junifer Pangaribuan2Universitas Pelita HarapanUniversitas Pelita HarapanUniversitas Pelita HarapanAccording to the World Health Organization (WHO), hearing loss is one of the fourth leading causes of disability. The number of people with hearing loss continues to increase yearly. This increase occurred due to delays in recognizing hearing loss, leading to delays in providing treatment. To solve this problem, one solution to deal with this is early identification to detect the degree of hearing loss. This research will use machine learning to classify the degree of hearing loss. The algorithm implemented in this study is naive Bayes. This study uses a data set from the Zenodo open access repository with 3105 raw data and 19 features. This study evaluates the performance of overall accuracy, precision, recall, and f1-score and classified four classes: mild, moderate, moderately severe, and severe. The methodology classification stages in this study include data preprocessing, data training, data testing, and evaluation. From evaluating the performance of the Naive Bayes algorithm, the classification results obtained the highest impacts in the form of 94% overall accuracy, 100% precision, 100% recall and 97% f1-score in classifying the degree of hearing loss.http://jurnal.iaii.or.id/index.php/RESTI/article/view/4683classificationhearing loss degreesnaive bayes |
| spellingShingle | Okky Putra Barus Romindo Jefri Junifer Pangaribuan Classification of Hearing Loss Degrees with Naive Bayes Algorithm Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) classification hearing loss degrees naive bayes |
| title | Classification of Hearing Loss Degrees with Naive Bayes Algorithm |
| title_full | Classification of Hearing Loss Degrees with Naive Bayes Algorithm |
| title_fullStr | Classification of Hearing Loss Degrees with Naive Bayes Algorithm |
| title_full_unstemmed | Classification of Hearing Loss Degrees with Naive Bayes Algorithm |
| title_short | Classification of Hearing Loss Degrees with Naive Bayes Algorithm |
| title_sort | classification of hearing loss degrees with naive bayes algorithm |
| topic | classification hearing loss degrees naive bayes |
| url | http://jurnal.iaii.or.id/index.php/RESTI/article/view/4683 |
| work_keys_str_mv | AT okkyputrabarus classificationofhearinglossdegreeswithnaivebayesalgorithm AT romindo classificationofhearinglossdegreeswithnaivebayesalgorithm AT jefrijuniferpangaribuan classificationofhearinglossdegreeswithnaivebayesalgorithm |