A Fuzzy Logic Approach to Enhance GPS Accuracy for Blood Cooler Box Tracking
An innovative technological development, the position tracking system uses latitude and longitude coordinates to determine the GPS's location. The covid-19 pandemic has caused the demand for cool box delivery for convalescent blood plasma to increase significantly. The obstacle in the field is...
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| Format: | Article |
| Language: | English |
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Jurusan Teknik Elektromedik Politeknik Kesehatan Kemenkes Surabaya
2024-02-01
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| Series: | Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics |
| Subjects: | |
| Online Access: | https://ijeeemi.poltekkesdepkes-sby.ac.id/index.php/ijeeemi/article/view/349 |
| _version_ | 1797266998647848960 |
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| author | Muhammad Akbar Hariyono Arief Marwanto Suryani Alifah |
| author_facet | Muhammad Akbar Hariyono Arief Marwanto Suryani Alifah |
| author_sort | Muhammad Akbar Hariyono |
| collection | DOAJ |
| description | An innovative technological development, the position tracking system uses latitude and longitude coordinates to determine the GPS's location. The covid-19 pandemic has caused the demand for cool box delivery for convalescent blood plasma to increase significantly. The obstacle in the field is the hospital's position and patient rooms far from the reach convalescent donors, so they require a cool box for delivery. The problem is tracking the cool box accurately and precisely so that it can be monitored by the hospital properly. For this reason, it is necessary to increase the accuracy of the GPS position in the cool box by using fuzzy logic algorithms The Ublox NEO-6M is one GPS module that can be utilized for navigation. This module uses UART connection using the NMEA 0183 protocol and has an accuracy level of around 2.5 meters to 10 meters. In this research, validation of the accuracy of the GPS coordinate position was carried out on a Blood Cool Box device which was designed using the fuzzy logic method. The Sugeno method fuzzy logic algorithm is used to validate the accuracy of GPS coordinate positions based on latitude and longitude obtained from the GPS sensor module. The test results show a Mean Absolute Percent Error (MAPE) value of 21.66% which can be concluded that the Sugeno fuzzy logic method algorithm has forecasting model capabilities that are suitable for use as a validation method for testing GPS position coordinates. |
| first_indexed | 2024-04-25T01:09:36Z |
| format | Article |
| id | doaj.art-a80ca93e0b7d4a2799747f23f7429c58 |
| institution | Directory Open Access Journal |
| issn | 2656-8624 |
| language | English |
| last_indexed | 2024-04-25T01:09:36Z |
| publishDate | 2024-02-01 |
| publisher | Jurusan Teknik Elektromedik Politeknik Kesehatan Kemenkes Surabaya |
| record_format | Article |
| series | Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics |
| spelling | doaj.art-a80ca93e0b7d4a2799747f23f7429c582024-03-10T10:28:58ZengJurusan Teknik Elektromedik Politeknik Kesehatan Kemenkes SurabayaIndonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics2656-86242024-02-0161525810.35882/ijeeemi.v6i1.349349A Fuzzy Logic Approach to Enhance GPS Accuracy for Blood Cooler Box TrackingMuhammad Akbar Hariyono0Arief Marwanto1Suryani Alifah2Department of Medical Electronic Engineering Technology, Politeknik Unggulan Kalimantan, Banjarmasin Utara, Kalimantan Selatan, Indonesia Faculty of Industrial Technology, Universitas Islam Sultan Agung, Semarang, IndonesiaFaculty of Industrial Technology, Universitas Islam Sultan Agung, Semarang, IndonesiaAn innovative technological development, the position tracking system uses latitude and longitude coordinates to determine the GPS's location. The covid-19 pandemic has caused the demand for cool box delivery for convalescent blood plasma to increase significantly. The obstacle in the field is the hospital's position and patient rooms far from the reach convalescent donors, so they require a cool box for delivery. The problem is tracking the cool box accurately and precisely so that it can be monitored by the hospital properly. For this reason, it is necessary to increase the accuracy of the GPS position in the cool box by using fuzzy logic algorithms The Ublox NEO-6M is one GPS module that can be utilized for navigation. This module uses UART connection using the NMEA 0183 protocol and has an accuracy level of around 2.5 meters to 10 meters. In this research, validation of the accuracy of the GPS coordinate position was carried out on a Blood Cool Box device which was designed using the fuzzy logic method. The Sugeno method fuzzy logic algorithm is used to validate the accuracy of GPS coordinate positions based on latitude and longitude obtained from the GPS sensor module. The test results show a Mean Absolute Percent Error (MAPE) value of 21.66% which can be concluded that the Sugeno fuzzy logic method algorithm has forecasting model capabilities that are suitable for use as a validation method for testing GPS position coordinates.https://ijeeemi.poltekkesdepkes-sby.ac.id/index.php/ijeeemi/article/view/349gps, fuzzy logic, blood cool box, tracking |
| spellingShingle | Muhammad Akbar Hariyono Arief Marwanto Suryani Alifah A Fuzzy Logic Approach to Enhance GPS Accuracy for Blood Cooler Box Tracking Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics gps, fuzzy logic, blood cool box, tracking |
| title | A Fuzzy Logic Approach to Enhance GPS Accuracy for Blood Cooler Box Tracking |
| title_full | A Fuzzy Logic Approach to Enhance GPS Accuracy for Blood Cooler Box Tracking |
| title_fullStr | A Fuzzy Logic Approach to Enhance GPS Accuracy for Blood Cooler Box Tracking |
| title_full_unstemmed | A Fuzzy Logic Approach to Enhance GPS Accuracy for Blood Cooler Box Tracking |
| title_short | A Fuzzy Logic Approach to Enhance GPS Accuracy for Blood Cooler Box Tracking |
| title_sort | fuzzy logic approach to enhance gps accuracy for blood cooler box tracking |
| topic | gps, fuzzy logic, blood cool box, tracking |
| url | https://ijeeemi.poltekkesdepkes-sby.ac.id/index.php/ijeeemi/article/view/349 |
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