UTILIZATION OF K-NEAREST NEIGHBOR ALGORITHM TO ANALYZE AND CLASSIFY HEART DISORDERS BASED ON ELECTROCARDIOGRAM RECORDING DATA
This study develops a system to classify heart conditions based on electrocardiogram (ECG) medical records using the K-Nearest Neighbor (KNN) method. This system aims to assist medical personnel, especially doctors, in analyzing ECG results more efficiently, considering the limited number of doctor...
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| Format: | Article |
| Language: | English |
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Universitas Serang Raya
2024-09-01
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| Series: | JSiI (Jurnal Sistem Informasi) |
| Online Access: | https://e-jurnal.lppmunsera.org/index.php/jsii/article/view/10126 |
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| author | Sumiati Hanif Nurmajid Muhammad Ibrohim Hendry Gunawan |
| author_facet | Sumiati Hanif Nurmajid Muhammad Ibrohim Hendry Gunawan |
| author_sort | Sumiati |
| collection | DOAJ |
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This study develops a system to classify heart conditions based on electrocardiogram (ECG) medical records using the K-Nearest Neighbor (KNN) method. This system aims to assist medical personnel, especially doctors, in analyzing ECG results more efficiently, considering the limited number of doctors and practice schedules, with the KNN method, the system can classify heart conditions based on the proximity of the patient's ECG data to other ECG data whose conditions are already known. The results of this study have an accuracy of 80%, a value of 0.88 on the Success Rate and 0.54 on Kappa. This study provides a significant contribution in the use of technology to improve the efficiency of heart examinations. This KNN-based system can be used as a tool in the diagnostic process, considering the limited medical resources. In the future, the development of this system can be done by increasing the amount of data, more complete features, or trying other more complex classification methods to improve accuracy and Kappa.
Keyword: Heart Disorders, Classification, K-Nearest Neighbor, Success Rate and Kappa Statistic
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| format | Article |
| id | doaj-art-c90e3dcad5ec48a286abc60439b008a5 |
| institution | Kabale University |
| issn | 2406-7768 2581-2181 |
| language | English |
| publishDate | 2024-09-01 |
| publisher | Universitas Serang Raya |
| record_format | Article |
| series | JSiI (Jurnal Sistem Informasi) |
| spelling | doaj-art-c90e3dcad5ec48a286abc60439b008a52025-01-25T22:02:28ZengUniversitas Serang RayaJSiI (Jurnal Sistem Informasi)2406-77682581-21812024-09-0111210.30656/mrecx470UTILIZATION OF K-NEAREST NEIGHBOR ALGORITHM TO ANALYZE AND CLASSIFY HEART DISORDERS BASED ON ELECTROCARDIOGRAM RECORDING DATASumiati0Hanif Nurmajid1Muhammad Ibrohim2Hendry Gunawan3Universitas Serang RayaUniversitas Serang RayaUniversitas Serang RayaUniversitas Serang Raya This study develops a system to classify heart conditions based on electrocardiogram (ECG) medical records using the K-Nearest Neighbor (KNN) method. This system aims to assist medical personnel, especially doctors, in analyzing ECG results more efficiently, considering the limited number of doctors and practice schedules, with the KNN method, the system can classify heart conditions based on the proximity of the patient's ECG data to other ECG data whose conditions are already known. The results of this study have an accuracy of 80%, a value of 0.88 on the Success Rate and 0.54 on Kappa. This study provides a significant contribution in the use of technology to improve the efficiency of heart examinations. This KNN-based system can be used as a tool in the diagnostic process, considering the limited medical resources. In the future, the development of this system can be done by increasing the amount of data, more complete features, or trying other more complex classification methods to improve accuracy and Kappa. Keyword: Heart Disorders, Classification, K-Nearest Neighbor, Success Rate and Kappa Statistic https://e-jurnal.lppmunsera.org/index.php/jsii/article/view/10126 |
| spellingShingle | Sumiati Hanif Nurmajid Muhammad Ibrohim Hendry Gunawan UTILIZATION OF K-NEAREST NEIGHBOR ALGORITHM TO ANALYZE AND CLASSIFY HEART DISORDERS BASED ON ELECTROCARDIOGRAM RECORDING DATA JSiI (Jurnal Sistem Informasi) |
| title | UTILIZATION OF K-NEAREST NEIGHBOR ALGORITHM TO ANALYZE AND CLASSIFY HEART DISORDERS BASED ON ELECTROCARDIOGRAM RECORDING DATA |
| title_full | UTILIZATION OF K-NEAREST NEIGHBOR ALGORITHM TO ANALYZE AND CLASSIFY HEART DISORDERS BASED ON ELECTROCARDIOGRAM RECORDING DATA |
| title_fullStr | UTILIZATION OF K-NEAREST NEIGHBOR ALGORITHM TO ANALYZE AND CLASSIFY HEART DISORDERS BASED ON ELECTROCARDIOGRAM RECORDING DATA |
| title_full_unstemmed | UTILIZATION OF K-NEAREST NEIGHBOR ALGORITHM TO ANALYZE AND CLASSIFY HEART DISORDERS BASED ON ELECTROCARDIOGRAM RECORDING DATA |
| title_short | UTILIZATION OF K-NEAREST NEIGHBOR ALGORITHM TO ANALYZE AND CLASSIFY HEART DISORDERS BASED ON ELECTROCARDIOGRAM RECORDING DATA |
| title_sort | utilization of k nearest neighbor algorithm to analyze and classify heart disorders based on electrocardiogram recording data |
| url | https://e-jurnal.lppmunsera.org/index.php/jsii/article/view/10126 |
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