Institut Teknologi Telkom Purwokerto, Indonesia
BibTex Citation Data :
@article{JTSISKOM13209, author = {Herryawan Pujiharsono and Danny Kurnianto}, title = {Sistem inferensi fuzzy Mamdani untuk menentukan tingkat kualitas air pada kolam bioflok dalam budidaya ikan lele}, journal = {Jurnal Teknologi dan Sistem Komputer}, volume = {8}, number = {2}, year = {2020}, keywords = {Mamdani FIS; pH level; temperature monitoring; dissolved oxygen concentration; catfish biofloc}, abstract = {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.}, issn = {2338-0403}, pages = {84--88} doi = {10.14710/jtsiskom.8.2.2020.84-88}, url = {https://jtsiskom.undip.ac.id/article/view/13209} }
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