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All Journal MEDIA ELEKTRIKA Elektron Jurnal Ilmiah Prosiding Seminar Nasional Sains Dan Teknologi Fakultas Teknik PROSIDING SENATEK FAKULTAS TEKNIK UMP Proceeding SENDI_U ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika Jurnal Ilmiah Dinamika Rekayasa (DINAREK) JURNAL NASIONAL TEKNIK ELEKTRO PROtek : Jurnal Ilmiah Teknik Elektro Jurnal Teknologi dan Sistem Komputer JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING TELKA - Telekomunikasi, Elektronika, Komputasi dan Kontrol Jurnal Fokus Elektroda : Energi Listrik, Telekomunikasi, Komputer, Elektronika dan Kendali Indonesian Journal of electronics, electromedical engineering, and medical informatics Fokus Elektroda: Energi Listrik, Telekomunikasi, Komputer, Elektronika dan Kendali) Electrician : Jurnal Rekayasa dan Teknologi Elektro Jurnal INFOTEL Buletin Pos dan Telekomunikasi Journal of Informatics and Communication Technology (JICT)
Danny Kurnianto
Institut Teknologi Telkom Purwokerto
Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Mathematics Social Sciences

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Journal : Jurnal Teknologi dan Sistem Komputer

 1 
Sistem inferensi fuzzy Mamdani untuk menentukan tingkat kualitas air pada kolam bioflok dalam budidaya ikan lele Herryawan Pujiharsono; Danny Kurnianto
Jurnal Teknologi dan Sistem Komputer Volume 8, Issue 2, Year 2020 (April 2020)
Publisher : Department of Computer Engineering, Engineering Faculty, Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/jtsiskom.8.2.2020.84-88

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.
Co-Authors Abdul Mujib Hadi Abi Sabila Mustaqim Achmad Rizal Danisyah, Achmad Rizal Adi Saputra Aldi Wijaya Amanaf, Muntaqo Alfin AMANAF, MUNTAQO ALFIN Anang Dwi Prakoso Arief Hendra Saptadi Armanda Suryaningrat Dewi Sekar Arum Dimas Wira Akbar Dini Megawati Eka Setia Nugraha Eka Wahyudi Eka Wahyudi Eto Salam Fachrul Rahmadany Fikra Titan Syifa Fikri Nizar Gustiyana Gustiyana, Fikri Nizar Hadi, Abdul Mujib Hanung Adi Nugroho Hendra Saptadi, Arief Hendra Saptadi, Arief Herryawan Pujiharsono Indah Soesanti Intan Erlita Dewanti Intan Erlita Dewanti Intan Pangesti Jaenal Arifin Jaenal Arifin Kemuning Nenden Testy Kholidiyah Masykuroh M. Julius St Julius St M. Julius St Julius St, M. Julius St Mafana Nur Hamidah Miftahul Muhdori, Miftahul Muhamad Fahrul Rozi Muhammad Yusro MUNTAQO ALFIN AMANAF Nindyaning Puspamelati, Nindyaning Nova Indah Safitri Olivia Sherly Indah Uly Panca Mudjirahardjo Panca Mudjirahardjo Prasetyo Yuliantoro Risa Farrid Christiant, Risa Farrid Rochmanto, Raditya Artha Saputra, Adi Suyani Suyani Vencentius Krisma Ekaristi Vencentius Krisma Ekaristi, Vencentius Krisma Wahyudi, Eka Yahya Ega Masyarik Zen, Nur Afifah