Implementation of Fuzzy Logic in Fish Dryer Design
The fish drying process aims to preserve fish, so as to reduce losses due to the spoilage process. There is sunlight, the drying process does not experience obstacles, however if it is raining, it will take a longer time, and give a smell effect that disturbs the surrounding environment for a relati...
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| Format: | Article |
| Language: | English |
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Fakultas Ilmu Komputer UMI
2022-04-01
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| Series: | Ilkom Jurnal Ilmiah |
| Subjects: | |
| Online Access: | https://jurnal.fikom.umi.ac.id/index.php/ILKOM/article/view/1092 |
| _version_ | 1827970884507271168 |
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| author | Nur Yanti Taufik Nur Randis Randis |
| author_facet | Nur Yanti Taufik Nur Randis Randis |
| author_sort | Nur Yanti |
| collection | DOAJ |
| description | The fish drying process aims to preserve fish, so as to reduce losses due to the spoilage process. There is sunlight, the drying process does not experience obstacles, however if it is raining, it will take a longer time, and give a smell effect that disturbs the surrounding environment for a relatively long time. Fish dryer designed to work automatically, aims to speed up drying time using fuzzy logic, thus minimizing rot and air pollution due to the smell of the fish drying process. The design of the tool used experimental methods through literature study as a source of study, planning and manufacturing of fish drying equipment consists of hardware using the Arduino Mega 2560 microcontroller, temperature sensor of DHT 22, load cell sensor, humidity sensor, fan, heating element and LCD and software using the Fuzzy Mamdani method. The results obtained are the weight of the fish that has undergone a drying process using an automatic drying device, namely 500 grams, indicating that the drying process is 50% of the initial weight of 1000 grams, with a drying time of 4.48 hours, while drying time by drying or manually takes 45 hours. Shows the control system using fuzzy logic on fish drying equipment, speed up the drying time about 10 hours faster than the drying time by drying in the sun. So that it can increase the amount of dry fish production, reduce the smell in the environment around the drying, because the fish are in the dryer closed. |
| first_indexed | 2024-04-09T19:00:16Z |
| format | Article |
| id | doaj.art-7439dbcff32648418e65845719290c92 |
| institution | Directory Open Access Journal |
| issn | 2087-1716 2548-7779 |
| language | English |
| last_indexed | 2024-04-09T19:00:16Z |
| publishDate | 2022-04-01 |
| publisher | Fakultas Ilmu Komputer UMI |
| record_format | Article |
| series | Ilkom Jurnal Ilmiah |
| spelling | doaj.art-7439dbcff32648418e65845719290c922023-04-08T08:20:28ZengFakultas Ilmu Komputer UMIIlkom Jurnal Ilmiah2087-17162548-77792022-04-01141395110.33096/ilkom.v14i1.1092.39-51389Implementation of Fuzzy Logic in Fish Dryer DesignNur Yanti0Taufik Nur1Randis Randis2Politeknik Negeri BalikpapanUniversitas Muslim IndonesiaPoliteknik Negeri BalikpapanThe fish drying process aims to preserve fish, so as to reduce losses due to the spoilage process. There is sunlight, the drying process does not experience obstacles, however if it is raining, it will take a longer time, and give a smell effect that disturbs the surrounding environment for a relatively long time. Fish dryer designed to work automatically, aims to speed up drying time using fuzzy logic, thus minimizing rot and air pollution due to the smell of the fish drying process. The design of the tool used experimental methods through literature study as a source of study, planning and manufacturing of fish drying equipment consists of hardware using the Arduino Mega 2560 microcontroller, temperature sensor of DHT 22, load cell sensor, humidity sensor, fan, heating element and LCD and software using the Fuzzy Mamdani method. The results obtained are the weight of the fish that has undergone a drying process using an automatic drying device, namely 500 grams, indicating that the drying process is 50% of the initial weight of 1000 grams, with a drying time of 4.48 hours, while drying time by drying or manually takes 45 hours. Shows the control system using fuzzy logic on fish drying equipment, speed up the drying time about 10 hours faster than the drying time by drying in the sun. So that it can increase the amount of dry fish production, reduce the smell in the environment around the drying, because the fish are in the dryer closed.https://jurnal.fikom.umi.ac.id/index.php/ILKOM/article/view/1092fuzzy logicmicrocontrollerfish dryer |
| spellingShingle | Nur Yanti Taufik Nur Randis Randis Implementation of Fuzzy Logic in Fish Dryer Design Ilkom Jurnal Ilmiah fuzzy logic microcontroller fish dryer |
| title | Implementation of Fuzzy Logic in Fish Dryer Design |
| title_full | Implementation of Fuzzy Logic in Fish Dryer Design |
| title_fullStr | Implementation of Fuzzy Logic in Fish Dryer Design |
| title_full_unstemmed | Implementation of Fuzzy Logic in Fish Dryer Design |
| title_short | Implementation of Fuzzy Logic in Fish Dryer Design |
| title_sort | implementation of fuzzy logic in fish dryer design |
| topic | fuzzy logic microcontroller fish dryer |
| url | https://jurnal.fikom.umi.ac.id/index.php/ILKOM/article/view/1092 |
| work_keys_str_mv | AT nuryanti implementationoffuzzylogicinfishdryerdesign AT taufiknur implementationoffuzzylogicinfishdryerdesign AT randisrandis implementationoffuzzylogicinfishdryerdesign |