Design Development of Detection System and Ro-Ro Ship Notification based on Fuzzy Inference System
Ship stability is very important for the safety of ship motion. There are many factors that affect the stability of a ship. One of the causes of accidents on ships is the problem of ship stability, including the ship cannot be controlled, and loses balance due to improper placement of cargo loads. T...
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| Language: | eng |
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Department of Informatics, Universitas Muhammadiyah Surakarta, Indonesia
2023
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| Online Access: | https://journals.ums.ac.id/index.php/khif/article/view/16759 |
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| author | Febriansyah, mochammad Jafar Tri Wahjuni, Sri Jaya, Indra |
| author_facet | Febriansyah, mochammad Jafar Tri Wahjuni, Sri Jaya, Indra |
| author_sort | Febriansyah, mochammad Jafar Tri |
| collection | OJS |
| description | Ship stability is very important for the safety of ship motion. There are many factors that affect the stability of a ship. One of the causes of accidents on ships is the problem of ship stability, including the ship cannot be controlled, and loses balance due to improper placement of cargo loads. This study combines gyroscopes, accelerometers, compasses, and GPS sensors, so that more accurate ship tilt information is obtained through an Android smartphone application. This study uses the fuzzy inference system (FIS) method with a trapezoidal membership function where there are 2 inputs and 1 output. Ship tilt input uses 3 linguistic variables very tilted, tilted, and stable. The slope duration input uses 5 very fast, fast, fairly fast, slow, and very slow linguistic variables. Ship status output is divided into 3 linguistic variables safe, alert, and dangerous. Testing and implementation with an input slope of 4.8 and a slope duration of 10 seconds using the Sugeno fuzzy method, the ship's crips value of 0.65 with an alert status was obtained. Calculation of the accuracy of the gyroscope sensor error using the MAPE method, the result is an error percentage of 6.55% (very good). The system accuracy error of 39 trials (36 correct and 3 incorrect) is 92.30% (very good). This research is expected to make it easier for the captain to monitor the stability of the ship and can provide notification of the status of the ship to the captain of the ship if there is a condition of the ship that needs to be watched out for. In addition, the notification will also be received by Port officers on land. |
| format | UMS Journal (OJS) |
| id | oai:ojs2.journals.ums.ac.id:article-16759 |
| institution | Universitas Muhammadiyah Surakarta |
| language | eng |
| publishDate | 2023 |
| publisher | Department of Informatics, Universitas Muhammadiyah Surakarta, Indonesia |
| record_format | ojs |
| spelling | oai:ojs2.journals.ums.ac.id:article-16759 Design Development of Detection System and Ro-Ro Ship Notification based on Fuzzy Inference System Febriansyah, mochammad Jafar Tri Wahjuni, Sri Jaya, Indra Smartphone, FIS, notification system, ship tilt, ship stability Ship stability is very important for the safety of ship motion. There are many factors that affect the stability of a ship. One of the causes of accidents on ships is the problem of ship stability, including the ship cannot be controlled, and loses balance due to improper placement of cargo loads. This study combines gyroscopes, accelerometers, compasses, and GPS sensors, so that more accurate ship tilt information is obtained through an Android smartphone application. This study uses the fuzzy inference system (FIS) method with a trapezoidal membership function where there are 2 inputs and 1 output. Ship tilt input uses 3 linguistic variables very tilted, tilted, and stable. The slope duration input uses 5 very fast, fast, fairly fast, slow, and very slow linguistic variables. Ship status output is divided into 3 linguistic variables safe, alert, and dangerous. Testing and implementation with an input slope of 4.8 and a slope duration of 10 seconds using the Sugeno fuzzy method, the ship's crips value of 0.65 with an alert status was obtained. Calculation of the accuracy of the gyroscope sensor error using the MAPE method, the result is an error percentage of 6.55% (very good). The system accuracy error of 39 trials (36 correct and 3 incorrect) is 92.30% (very good). This research is expected to make it easier for the captain to monitor the stability of the ship and can provide notification of the status of the ship to the captain of the ship if there is a condition of the ship that needs to be watched out for. In addition, the notification will also be received by Port officers on land. Department of Informatics, Universitas Muhammadiyah Surakarta, Indonesia Sri Wahjuni, IPB University, Ilmu Komputer Indra Jaya, IPB University, Departemen Ilmu Kelautan 2023-04-10 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion application/pdf https://journals.ums.ac.id/index.php/khif/article/view/16759 10.23917/khif.v9i1.16759 Khazanah Informatika : Jurnal Ilmu Komputer dan Informatika; Vol. 9 No. 1 April 2023 Khazanah Informatika; Vol. 9 No. 1 April 2023 2477-698X 2621-038X eng https://journals.ums.ac.id/index.php/khif/article/view/16759/8358 Copyright (c) 2023 Khazanah Informatika: Jurnal Ilmu Komputer dan Informatika http://creativecommons.org/licenses/by/4.0 |
| spellingShingle | Smartphone, FIS, notification system, ship tilt, ship stability Febriansyah, mochammad Jafar Tri Wahjuni, Sri Jaya, Indra Design Development of Detection System and Ro-Ro Ship Notification based on Fuzzy Inference System |
| title | Design Development of Detection System and Ro-Ro Ship Notification based on Fuzzy Inference System |
| title_full | Design Development of Detection System and Ro-Ro Ship Notification based on Fuzzy Inference System |
| title_fullStr | Design Development of Detection System and Ro-Ro Ship Notification based on Fuzzy Inference System |
| title_full_unstemmed | Design Development of Detection System and Ro-Ro Ship Notification based on Fuzzy Inference System |
| title_short | Design Development of Detection System and Ro-Ro Ship Notification based on Fuzzy Inference System |
| title_sort | design development of detection system and ro ro ship notification based on fuzzy inference system |
| topic | Smartphone, FIS, notification system, ship tilt, ship stability |
| topic_facet | Smartphone, FIS, notification system, ship tilt, ship stability |
| url | https://journals.ums.ac.id/index.php/khif/article/view/16759 |
| work_keys_str_mv | AT febriansyahmochammadjafartri designdevelopmentofdetectionsystemandroroshipnotificationbasedonfuzzyinferencesystem AT wahjunisri designdevelopmentofdetectionsystemandroroshipnotificationbasedonfuzzyinferencesystem AT jayaindra designdevelopmentofdetectionsystemandroroshipnotificationbasedonfuzzyinferencesystem |