Forecasting the Number of Tuberculosis Patients Using Automatic Clustering And Fuzzy Logical Relationship Method
Tuberculosis is an infectious disease caused by the bacterium Mycobacterium tuberculosis bacillus, which infects the lungs and can potentially cause death. This study aims to predict the number of tuberculosis sufferers in Kampar Regency in 2022. The method used is the automatic clustering and fuzz...
Saved in:
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Mathematics Department UIN Maulana Malik Ibrahim Malang
2023-11-01
|
| Series: | Cauchy: Jurnal Matematika Murni dan Aplikasi |
| Subjects: | |
| Online Access: | https://ejournal.uin-malang.ac.id/index.php/Math/article/view/18073 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1849720863290556416 |
|---|---|
| author | Rahmawati Rahmawati Sarbaini Sarbaini Ade Novia Rahma Tri Uci Lestari Fitri Aryani |
| author_facet | Rahmawati Rahmawati Sarbaini Sarbaini Ade Novia Rahma Tri Uci Lestari Fitri Aryani |
| author_sort | Rahmawati Rahmawati |
| collection | DOAJ |
| description | Tuberculosis is an infectious disease caused by the bacterium Mycobacterium tuberculosis bacillus, which infects the lungs and can potentially cause death. This study aims to predict the number of tuberculosis sufferers in Kampar Regency in 2022. The method used is the automatic clustering and fuzzy logical relationship method. The data analyzed is secondary data obtained from the Kampar District Health Office from 2017 to 2021. From the results of the analysis carried out using the automatic clustering and fuzzy logical relationship method, it was obtained to forecast the number of tuberculosis patients in 2022, as many as 944 people with MAPE of 0.0882%, the accuracy of forecasting results of 99.9118%, and an increase in the number of tuberculosis sufferers from 2021 to 2022 as many as 4 people. |
| format | Article |
| id | doaj-art-313da77f50ee4053adf15bc75cb9a849 |
| institution | DOAJ |
| issn | 2086-0382 2477-3344 |
| language | English |
| publishDate | 2023-11-01 |
| publisher | Mathematics Department UIN Maulana Malik Ibrahim Malang |
| record_format | Article |
| series | Cauchy: Jurnal Matematika Murni dan Aplikasi |
| spelling | doaj-art-313da77f50ee4053adf15bc75cb9a8492025-08-20T03:11:51ZengMathematics Department UIN Maulana Malik Ibrahim MalangCauchy: Jurnal Matematika Murni dan Aplikasi2086-03822477-33442023-11-0182496110.18860/ca.v8i2.180737412Forecasting the Number of Tuberculosis Patients Using Automatic Clustering And Fuzzy Logical Relationship MethodRahmawati Rahmawati0Sarbaini Sarbaini1Ade Novia Rahma2Tri Uci Lestari3Fitri Aryani4Universitas Islam Negeri Sultan Syarif Kasim RiauUniversitas Islam Negeri Sultan Syarif Kasim RiauUniversitas Islam Negeri Sultan Syarif Kasim RiauUniversitas Islam Negeri Sultan Syarif Kasim RiauUniversitas Islam Negeri Sultan Syarif Kasim RiauTuberculosis is an infectious disease caused by the bacterium Mycobacterium tuberculosis bacillus, which infects the lungs and can potentially cause death. This study aims to predict the number of tuberculosis sufferers in Kampar Regency in 2022. The method used is the automatic clustering and fuzzy logical relationship method. The data analyzed is secondary data obtained from the Kampar District Health Office from 2017 to 2021. From the results of the analysis carried out using the automatic clustering and fuzzy logical relationship method, it was obtained to forecast the number of tuberculosis patients in 2022, as many as 944 people with MAPE of 0.0882%, the accuracy of forecasting results of 99.9118%, and an increase in the number of tuberculosis sufferers from 2021 to 2022 as many as 4 people.https://ejournal.uin-malang.ac.id/index.php/Math/article/view/18073automatic clustering, forecasting, fuzzy logical relationship, mape, tuberculosis. |
| spellingShingle | Rahmawati Rahmawati Sarbaini Sarbaini Ade Novia Rahma Tri Uci Lestari Fitri Aryani Forecasting the Number of Tuberculosis Patients Using Automatic Clustering And Fuzzy Logical Relationship Method Cauchy: Jurnal Matematika Murni dan Aplikasi automatic clustering, forecasting, fuzzy logical relationship, mape, tuberculosis. |
| title | Forecasting the Number of Tuberculosis Patients Using Automatic Clustering And Fuzzy Logical Relationship Method |
| title_full | Forecasting the Number of Tuberculosis Patients Using Automatic Clustering And Fuzzy Logical Relationship Method |
| title_fullStr | Forecasting the Number of Tuberculosis Patients Using Automatic Clustering And Fuzzy Logical Relationship Method |
| title_full_unstemmed | Forecasting the Number of Tuberculosis Patients Using Automatic Clustering And Fuzzy Logical Relationship Method |
| title_short | Forecasting the Number of Tuberculosis Patients Using Automatic Clustering And Fuzzy Logical Relationship Method |
| title_sort | forecasting the number of tuberculosis patients using automatic clustering and fuzzy logical relationship method |
| topic | automatic clustering, forecasting, fuzzy logical relationship, mape, tuberculosis. |
| url | https://ejournal.uin-malang.ac.id/index.php/Math/article/view/18073 |
| work_keys_str_mv | AT rahmawatirahmawati forecastingthenumberoftuberculosispatientsusingautomaticclusteringandfuzzylogicalrelationshipmethod AT sarbainisarbaini forecastingthenumberoftuberculosispatientsusingautomaticclusteringandfuzzylogicalrelationshipmethod AT adenoviarahma forecastingthenumberoftuberculosispatientsusingautomaticclusteringandfuzzylogicalrelationshipmethod AT triucilestari forecastingthenumberoftuberculosispatientsusingautomaticclusteringandfuzzylogicalrelationshipmethod AT fitriaryani forecastingthenumberoftuberculosispatientsusingautomaticclusteringandfuzzylogicalrelationshipmethod |