Mamdani fuzzy inference system for mapping water quality level of biofloc ponds in catfish cultivation
The government has launched a program to increase the production of catfish by using biofloc ponds. The biofloc ponds can maintain the quality of water biologically to maximize the growth of fish. However, the level of water quality monitoring is generally only divided into good or bad categories so...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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Diponegoro University
2020-04-01
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| Series: | Jurnal Teknologi dan Sistem Komputer |
| Subjects: | |
| Online Access: | https://jtsiskom.undip.ac.id/index.php/jtsiskom/article/view/13209 |
| _version_ | 1797288578239168512 |
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| author | Herryawan Pujiharsono Danny Kurnianto |
| author_facet | Herryawan Pujiharsono Danny Kurnianto |
| author_sort | Herryawan Pujiharsono |
| collection | DOAJ |
| description | The government has launched a program to increase the production of catfish by using biofloc ponds. The biofloc ponds can maintain the quality of water biologically to maximize the growth of fish. However, the level of water quality monitoring is generally only divided into good or bad categories so that it cannot represent the condition of fish growth. Therefore, this study aims to get the level of water quality (0–100 %) using the Mamdani fuzzy inference system (FIS) algorithm based on pH, temperature, and dissolved oxygen (DO). The level of water quality was correlated based on catfish growth conditions. The results showed that the range of values of the water quality level for each condition of catfish growth was 100 % for normal-living fish, 83–99 % for stunted fish growth, and < 83% for threatened fish. The FIS algorithm had 89.92 % of accuracy. |
| first_indexed | 2024-03-07T18:51:27Z |
| format | Article |
| id | doaj.art-93a8f63116464dd2998b088c50ce9928 |
| institution | Directory Open Access Journal |
| issn | 2338-0403 |
| language | English |
| last_indexed | 2024-03-07T18:51:27Z |
| publishDate | 2020-04-01 |
| publisher | Diponegoro University |
| record_format | Article |
| series | Jurnal Teknologi dan Sistem Komputer |
| spelling | doaj.art-93a8f63116464dd2998b088c50ce99282024-03-02T01:25:19ZengDiponegoro UniversityJurnal Teknologi dan Sistem Komputer2338-04032020-04-0182848810.14710/jtsiskom.8.2.2020.84-8812807Mamdani fuzzy inference system for mapping water quality level of biofloc ponds in catfish cultivationHerryawan Pujiharsono0https://orcid.org/0000-0003-2982-1892Danny Kurnianto1https://orcid.org/0000-0002-0426-8915Institut Teknologi Telkom Purwokerto, IndonesiaInstitut Teknologi Telkom Purwokerto, IndonesiaThe government has launched a program to increase the production of catfish by using biofloc ponds. The biofloc ponds can maintain the quality of water biologically to maximize the growth of fish. However, the level of water quality monitoring is generally only divided into good or bad categories so that it cannot represent the condition of fish growth. Therefore, this study aims to get the level of water quality (0–100 %) using the Mamdani fuzzy inference system (FIS) algorithm based on pH, temperature, and dissolved oxygen (DO). The level of water quality was correlated based on catfish growth conditions. The results showed that the range of values of the water quality level for each condition of catfish growth was 100 % for normal-living fish, 83–99 % for stunted fish growth, and < 83% for threatened fish. The FIS algorithm had 89.92 % of accuracy.https://jtsiskom.undip.ac.id/index.php/jtsiskom/article/view/13209fis mamdanilevel phpemantauan suhukadar oksigen terlarutbioflok ikan lele |
| spellingShingle | Herryawan Pujiharsono Danny Kurnianto Mamdani fuzzy inference system for mapping water quality level of biofloc ponds in catfish cultivation Jurnal Teknologi dan Sistem Komputer fis mamdani level ph pemantauan suhu kadar oksigen terlarut bioflok ikan lele |
| title | Mamdani fuzzy inference system for mapping water quality level of biofloc ponds in catfish cultivation |
| title_full | Mamdani fuzzy inference system for mapping water quality level of biofloc ponds in catfish cultivation |
| title_fullStr | Mamdani fuzzy inference system for mapping water quality level of biofloc ponds in catfish cultivation |
| title_full_unstemmed | Mamdani fuzzy inference system for mapping water quality level of biofloc ponds in catfish cultivation |
| title_short | Mamdani fuzzy inference system for mapping water quality level of biofloc ponds in catfish cultivation |
| title_sort | mamdani fuzzy inference system for mapping water quality level of biofloc ponds in catfish cultivation |
| topic | fis mamdani level ph pemantauan suhu kadar oksigen terlarut bioflok ikan lele |
| url | https://jtsiskom.undip.ac.id/index.php/jtsiskom/article/view/13209 |
| work_keys_str_mv | AT herryawanpujiharsono mamdanifuzzyinferencesystemformappingwaterqualitylevelofbioflocpondsincatfishcultivation AT dannykurnianto mamdanifuzzyinferencesystemformappingwaterqualitylevelofbioflocpondsincatfishcultivation |