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All Journal Journal of Applied Science, Technology & Humanities
Naufal Auzan Ramadhan
IPB University
Humanities Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Social Sciences

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Using Fuzzy Logic-Based Mamdani to Predict Catfish Larval Rearing Rangga Ardiansyah; Daffa Zulqisthi; Muhammad Faiz Assarly; Sahrul Aidil Adhar; Najla Nadashifa Wicaksono; Fauziah Siti Khodijah; Sili Maysaroh; Sofie Saharsa Leilani Katim; Nisrina Ratu Hadayani Samosir; Razfa Muhamad Zaki Adz Dzikri; Muhammad Ikmal Muhaniq; Naufal Auzan Ramadhan
Journal of Applied Science, Technology & Humanities | JASTH Vol. 2 No. 4 (2025): September 2025
Publisher : Batrisya Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62535/24tjgp28

Abstract

Catfish (Clarias sp.) larvae are highly sensitive to environmental changes, particularly in water quality parameters such as temperature, pH, and dissolved oxygen (DO), which significantly affect their survival rate (SR). This study aims to design a real-time prediction system for catfish larval survival using Mamdani fuzzy logic to support more accurate and adaptive water quality management. The research was conducted from April to May 2025 at the Hatchery, IPB Vocational School. The methodology involves constructing a Mamdani fuzzy inference system in MATLAB based on secondary data (SNI 6484:3:2014 and previous studies) and field observations. Three main input parameters temperature, pH, and DO. Were categorized into fuzzy sets using triangular membership functions. A total of 84 fuzzy rules were developed to infer SR, which was also divided into three categories: low, moderate, and high. Simulation results using the Rule Viewer and Surface Viewer showed that DO had the strongest influence on SR followed by temperature, while pH had a relatively minor effect. Under low DO conditions (<3 mg/L), SR predictions were consistently low regardless of other variables. In conclusion, the Mamdani fuzzy logic system proves effective in predicting catfish larval SR and can be a valuable tool for optimizing aquaculture practices.
Application of Fuzzy Logic to Detect TSS and DO Contamination in Aquaculture wefi vianita; Daffa Zulqisthi; Muhammad Faiz Assar; Lulu Susan Hanifah; Intan Nazwa Oktarani; Fandhika Al Fatdri Susilarso; Mahesa Rafi Zaka Fatahila; Isti Kentjana; Ranti Ayu Rahmawati; Muhammad Naufal Hazimulfikri; Naufal Auzan Ramadhan
Journal of Applied Science, Technology & Humanities | JASTH Vol. 2 No. 5 (2025): November 2025
Publisher : Batrisya Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62535/f4tdgd70

Abstract

The quality of water in aquaculture systems plays a critical role in maintaining the health andproductivity of aquatic organisms. Two key parameters affecting water quality are DissolvedOxygen (DO) and Total Suspended Solids (TSS), both of which fluctuate and can negativelyimpact fish survival rates. This study aims to design and evaluate a fuzzy logic-basedclassification system using the Mamdani method to assess water quality conditions based on DOand TSS values. The research employed a qualitative approach supported by simulation usingMATLAB software. The input variables were DO and TSS, while the output was theclassification of water quality into two categories: good and poor. The fuzzy inference systemwas constructed using membership functions and rule-based logic. The results showed that thesystem was capable of generating accurate and adaptive outputs, with a sample input of DO 9.04mg/L and TSS 235 mg/L producing an output value of 0.742, indicating good water quality.These findings demonstrate the effectiveness of the system in supporting water monitoring inaquaculture operations.
Application of Mamdani Fuzzy Logic in Monitoring Dissolved Oxygen, pH, and Temperature in Koi Cyprinus rubrofuscus Raising Ponds Widya Puspita Hapsari; Muhammad Faiz Assariy; Daffa Zulqitsi; Zuliandra Pratama; Alwan Maulana; Muhammad Sakha Alfaizi; Rizki Ismaulana Ar Rasyid; Adhietya Try Anggara; M Febriyansah; Khansa Asrilia Suganda; Utari Oktaviani; Destia Rahma Nurhaliza; Rakha Arya Gautama; Elva Vauziyah; Naufal Auzan Ramadhan
Journal of Applied Science, Technology & Humanities | JASTH Vol. 2 No. 4 (2025): September 2025
Publisher : Batrisya Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62535/8j9q1d36

Abstract

Water quality is very important for the success of ornamental fish rearing, especially in raising koi fish Cyprinus rubrofuscus. This research develops a water quality monitoring system using the Mamdani fuzzy logic method based on three main parameters, namely temperature, pH, and dissolved oxygen (DO). The system was designed to handle the uncertainty and indecisiveness often encountered in water quality assessment, particularly in aquaculture environments. Temperature parameters are classified into cold, normal, and hot categories; pH into acidic, neutral, and alkaline categories; and DO into low, medium, and high categories. Simulation and implementation of the fuzzy inference system were conducted using MATLAB software. Through the process of fuzzification, rule-based inference, and defuzzification, the system successfully predicts the water quality status from bad, normal and good categories. The system is proven to be effective in evaluating water quality status and has the potential to support smarter and more adaptive management of koi fish farming environments.     
Co-Authors Adhietya Try Anggara Alwan Maulana Daffa Zulqisthi Daffa Zulqitsi Destia Rahma Nurhaliza Elva Vauziyah Fandhika Al Fatdri Susilarso Fauziah Siti Khodijah Intan Nazwa Oktarani Isti Kentjana Khansa Asrilia Suganda Lulu Susan Hanifah M Febriyansah Mahesa Rafi Zaka Fatahila Muhammad Faiz Assar Muhammad Faiz Assariy Muhammad Faiz Assarly Muhammad Ikmal Muhaniq Muhammad Naufal Hazimulfikri Muhammad Sakha Alfaizi Najla Nadashifa Wicaksono Nisrina Ratu Hadayani Samosir Rakha Arya Gautama Rangga Ardiansyah Ranti Ayu Rahmawati Razfa Muhamad Zaki Adz Dzikri Rizki Ismaulana Ar Rasyid Sahrul Aidil Adhar Sili Maysaroh Sofie Saharsa Leilani Katim Utari Oktaviani wefi vianita Widya Puspita Hapsari Zuliandra Pratama