Klasifikasi Data Aktivitas Setelah Joging Menggunakan Fuzzy Logic
One of the routine activities that cause a lot of body fluids is jogging. Research shows that excessive jogging can disrupt the balance of body fluids so that you tire quickly in the long run. As a result, the body releases too much fluid. This makes someone forget or underestimate the need for flui...
| প্রধান লেখক: | , , |
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| বিন্যাস: | প্রবন্ধ |
| ভাষা: | English |
| প্রকাশিত: |
Ikatan Ahli Informatika Indonesia
2021-06-01
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| মালা: | Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) |
| বিষয়গুলি: | |
| অনলাইন ব্যবহার করুন: | http://jurnal.iaii.or.id/index.php/RESTI/article/view/2938 |
| _version_ | 1827364514747645952 |
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| author | M. Deta Gian Faiz Andrian Rakhmatsyah Rahmat Yasirandi |
| author_facet | M. Deta Gian Faiz Andrian Rakhmatsyah Rahmat Yasirandi |
| author_sort | M. Deta Gian Faiz |
| collection | DOAJ |
| description | One of the routine activities that cause a lot of body fluids is jogging. Research shows that excessive jogging can disrupt the balance of body fluids so that you tire quickly in the long run. As a result, the body releases too much fluid. This makes someone forget or underestimate the need for fluids in the body. In this study, a detection system for body temperature, ambient temperature and heart rate was built for the classification of dehydration in the body to maintain fluid stability in the body. The system is built using the Pulse Sensor, Mlx90614, OpenWeatherAPI and the Android Platform. This study uses the Mamdani Fuzzy Logic method to determine the classification of user dehydration. The results of the research analysis contained a calibration test of the MLX90614 sensor against the Thermogun with an Error Rate value of 2.01% and an RMSE value of 0.9. Testing the Pulse Sensor against the Oximeter produces an Error Rate value of 1.54% and an RMSE value of 0.7. There is a difference in the difference in Deffuzification values due to differences in the fixed points for each library. Matlab fixed point with a value behind the three digit point, 16 digit Fuzzy Sci-kit and the Builded System using a 15 digit point value. |
| first_indexed | 2024-03-08T08:12:18Z |
| format | Article |
| id | doaj.art-3c8dc0d28ea34f11816d4e1e4d79fb8f |
| institution | Directory Open Access Journal |
| issn | 2580-0760 |
| language | English |
| last_indexed | 2024-03-08T08:12:18Z |
| publishDate | 2021-06-01 |
| publisher | Ikatan Ahli Informatika Indonesia |
| record_format | Article |
| series | Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) |
| spelling | doaj.art-3c8dc0d28ea34f11816d4e1e4d79fb8f2024-02-02T08:25:19ZengIkatan Ahli Informatika IndonesiaJurnal RESTI (Rekayasa Sistem dan Teknologi Informasi)2580-07602021-06-015353454210.29207/resti.v5i3.29382938Klasifikasi Data Aktivitas Setelah Joging Menggunakan Fuzzy LogicM. Deta Gian Faiz0Andrian Rakhmatsyah1Rahmat Yasirandi2Universitas TelkomUniversitas TelkomTelkom UniversityOne of the routine activities that cause a lot of body fluids is jogging. Research shows that excessive jogging can disrupt the balance of body fluids so that you tire quickly in the long run. As a result, the body releases too much fluid. This makes someone forget or underestimate the need for fluids in the body. In this study, a detection system for body temperature, ambient temperature and heart rate was built for the classification of dehydration in the body to maintain fluid stability in the body. The system is built using the Pulse Sensor, Mlx90614, OpenWeatherAPI and the Android Platform. This study uses the Mamdani Fuzzy Logic method to determine the classification of user dehydration. The results of the research analysis contained a calibration test of the MLX90614 sensor against the Thermogun with an Error Rate value of 2.01% and an RMSE value of 0.9. Testing the Pulse Sensor against the Oximeter produces an Error Rate value of 1.54% and an RMSE value of 0.7. There is a difference in the difference in Deffuzification values due to differences in the fixed points for each library. Matlab fixed point with a value behind the three digit point, 16 digit Fuzzy Sci-kit and the Builded System using a 15 digit point value.http://jurnal.iaii.or.id/index.php/RESTI/article/view/2938dehydrationfuzzy logicjoggingdetection |
| spellingShingle | M. Deta Gian Faiz Andrian Rakhmatsyah Rahmat Yasirandi Klasifikasi Data Aktivitas Setelah Joging Menggunakan Fuzzy Logic Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) dehydration fuzzy logic jogging detection |
| title | Klasifikasi Data Aktivitas Setelah Joging Menggunakan Fuzzy Logic |
| title_full | Klasifikasi Data Aktivitas Setelah Joging Menggunakan Fuzzy Logic |
| title_fullStr | Klasifikasi Data Aktivitas Setelah Joging Menggunakan Fuzzy Logic |
| title_full_unstemmed | Klasifikasi Data Aktivitas Setelah Joging Menggunakan Fuzzy Logic |
| title_short | Klasifikasi Data Aktivitas Setelah Joging Menggunakan Fuzzy Logic |
| title_sort | klasifikasi data aktivitas setelah joging menggunakan fuzzy logic |
| topic | dehydration fuzzy logic jogging detection |
| url | http://jurnal.iaii.or.id/index.php/RESTI/article/view/2938 |
| work_keys_str_mv | AT mdetagianfaiz klasifikasidataaktivitassetelahjogingmenggunakanfuzzylogic AT andrianrakhmatsyah klasifikasidataaktivitassetelahjogingmenggunakanfuzzylogic AT rahmatyasirandi klasifikasidataaktivitassetelahjogingmenggunakanfuzzylogic |