Expert System for Diagnosing Metabolic Syndrome at The Tembilahan Regional General Hospital
Metabolic syndrome is a disease that is considered trivial and common in society. When sufferers feel the effects of the disease, it will make treatment and healing difficult. To detect this disease early, an expert system application with the forward chaining method is needed so that this applicati...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | Indonesian |
| Published: |
Islamic University of Indragiri
2023-09-01
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| Series: | Sistemasi: Jurnal Sistem Informasi |
| Online Access: | http://sistemasi.ftik.unisi.ac.id/index.php/stmsi/article/view/3516 |
| _version_ | 1797661846658875392 |
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| author | samsudin samsudin ilyas ilyas Zulrahmadi Zulrahmadi Faizal Tanjung |
| author_facet | samsudin samsudin ilyas ilyas Zulrahmadi Zulrahmadi Faizal Tanjung |
| author_sort | samsudin samsudin |
| collection | DOAJ |
| description | Metabolic syndrome is a disease that is considered trivial and common in society. When sufferers feel the effects of the disease, it will make treatment and healing difficult. To detect this disease early, an expert system application with the forward chaining method is needed so that this application makes it easier to detect disease early. The method for developing this system uses the waterfall method. System analysis and design using UML. System testing uses a black box where system test results are received. Application user testing, using statistical tests with Beta testing with a 95% confidence level, the system can be accepted and trusted. Based on these results, this system can be a solution for early detection of metabolic syndrome. |
| first_indexed | 2024-03-11T18:51:38Z |
| format | Article |
| id | doaj.art-6411272203d7471cab2d525f1242ea2f |
| institution | Directory Open Access Journal |
| issn | 2302-8149 2540-9719 |
| language | Indonesian |
| last_indexed | 2024-03-11T18:51:38Z |
| publishDate | 2023-09-01 |
| publisher | Islamic University of Indragiri |
| record_format | Article |
| series | Sistemasi: Jurnal Sistem Informasi |
| spelling | doaj.art-6411272203d7471cab2d525f1242ea2f2023-10-11T09:36:29ZindIslamic University of IndragiriSistemasi: Jurnal Sistem Informasi2302-81492540-97192023-09-011231007101810.32520/stmsi.v12i3.3516639Expert System for Diagnosing Metabolic Syndrome at The Tembilahan Regional General Hospitalsamsudin samsudin0ilyas ilyas1Zulrahmadi Zulrahmadi2Faizal Tanjung3Universitas Islam indragiriUniversita islam Indragiriuniversitas islam Indragiriuniversitas islam IndragiriMetabolic syndrome is a disease that is considered trivial and common in society. When sufferers feel the effects of the disease, it will make treatment and healing difficult. To detect this disease early, an expert system application with the forward chaining method is needed so that this application makes it easier to detect disease early. The method for developing this system uses the waterfall method. System analysis and design using UML. System testing uses a black box where system test results are received. Application user testing, using statistical tests with Beta testing with a 95% confidence level, the system can be accepted and trusted. Based on these results, this system can be a solution for early detection of metabolic syndrome.http://sistemasi.ftik.unisi.ac.id/index.php/stmsi/article/view/3516 |
| spellingShingle | samsudin samsudin ilyas ilyas Zulrahmadi Zulrahmadi Faizal Tanjung Expert System for Diagnosing Metabolic Syndrome at The Tembilahan Regional General Hospital Sistemasi: Jurnal Sistem Informasi |
| title | Expert System for Diagnosing Metabolic Syndrome at The Tembilahan Regional General Hospital |
| title_full | Expert System for Diagnosing Metabolic Syndrome at The Tembilahan Regional General Hospital |
| title_fullStr | Expert System for Diagnosing Metabolic Syndrome at The Tembilahan Regional General Hospital |
| title_full_unstemmed | Expert System for Diagnosing Metabolic Syndrome at The Tembilahan Regional General Hospital |
| title_short | Expert System for Diagnosing Metabolic Syndrome at The Tembilahan Regional General Hospital |
| title_sort | expert system for diagnosing metabolic syndrome at the tembilahan regional general hospital |
| url | http://sistemasi.ftik.unisi.ac.id/index.php/stmsi/article/view/3516 |
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