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IMPLEMENTATION OF FUZZY LOGIC ON SIMULATION OF PH, TEMPERATURE, AND DISSOLVED OXYGEN MONITORING SYSTEM FOR DISCUS FISH Farhan Adha; Yassar Ariq Pradian; Muhammad Faiz Assariy; Hafiz Kurniawan; Fahmi Fadillah; Dimas Muhammad Fathur Rifki; Kevin Soerhensen; Baihaqi Al Faatih; Ridwan Kuasa Samudra Singajaya; Abu Dzar Al-Ghifari; Fauziah Prima Aulia; Rachel Delamaya Fefriani; Shabrina Kesya Azizah; Larisa Syafa Adisti; Muhammad Rafa Najwan; Daffa Zulqisthi
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/fzqysf66

Abstract

Discus fish (Symphysodon spp.) are ornamental fish that require special attention to water quality, including pH, temperature, and dissolved oxygen (DO). This research aims to develop a fuzzy logic-based water quality monitoring system to accurately evaluate these parameters. Quantitative methods were used with data collection through literature review and analysis using Matlab. The fuzzification process is applied to convert numerical data into linguistic values that can be processed by the fuzzy system. Results showed ideal temperature ranged from 27-32°C, optimal pH between 4.0-8.0, and good DO levels between 4.0-6.5 mg/L. The developed fuzzy logic system produced ea water quality assessment with a value of 6.61, indicating a fair quality. With high accuracy and average error less than 5%, the system is effective in decision-making for discus fish rearing. The integration of fuzzy logic technology strengthens the continuous monitoring of water quality. This research shows that a fuzzy logic-based approach can improve water quality management and support discus fish welfare.
Automatic Milkfish Feeding System Based on Fuzzy Logic on Microcontroller Fadhiel Fadhiel Naufal Huda; Silvester Ariski Tobi; Fadhiel Naufal Huda; Khoirul Kodri Nasution; Muhamad Ariq Maulana; Hanatasya Ramadhan; Ahmad Fahrezzi; Nailah Azzahra Cinthari; Willa Wulandari; Bunga Ligar Balebat; Muhammad Rayhan Kurniawan; Stilo Farrel Ticoalu; Muhammad Faiz Assariy
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/fmwq6f97

Abstract

Dear Editorial Team, I hope this message finds you well. Please find attached our manuscript entitled "Automatic Milkfish Feeding System Based on Fuzzy Logic on Microcontroller", which we would like to submit for possible publication in Journal of Applied Science, Technology & Humanities. This paper presents our research on automatic feeding system was designed using fuzzy logic and a microcontroller to adaptively adjust milkfish feed based on water temperature, with the aim of improving feed efficiency and supporting sustainable aquaculture. We believe that our findings could contribute significantly to the field of aquaculture management. The manuscript has not been published elsewhere and is not under consideration by any other journal. Please let us know if any additional information is required. We look forward to your feedback. Thank you for your time and consideration. Best regards,Fadhiel Naufal HudaIPB Universityfadhielnaufal@apps.ipc.ac.id
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.     
Computational Analysis of Mamdani Fuzzy Logic on Microcontrollers for Broiler Coop Microclimate Status Fathir Gunadireja; Ghina Rania; Revan Abdillah; Rhaqim Putra Alrusdi; Muhammad Faiz Assariy; Chika Hayya Sabillah; Rizki Achmad Rifa'i Dwi Warno
Journal of Applied Science, Technology & Humanities | JASTH Vol. 3 No. 3 (2026): June 2026
Publisher : Batrisya Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62535/eraczj69

Abstract

This research investigates the critical necessity of microclimate regulation within broiler poultry housing by constructing a computational framework grounded in the Mamdani Fuzzy Inference System. Thermal fluctuations, relative humidity shifts, and ammonia accumulation are significantly correlated with poultry mortality rates. The proposed computational model acquires three input parameters (Temperature, Humidity, and Ammonia) to generate two decision variables (Fan Intensity and Coop Safety Status) through the evaluation of 27 logical rules. To ensure system reliability prior to hardware implementation on microcontrollers, the algorithm was validated using the MATLAB commercial simulator. The defuzzification process was executed utilizing the Center of Gravity (COG) approach, which was comparatively analyzed between theoretical mathematical calculations and software projections. The investigative results revealed a fundamental level of accuracy; manual computation recorded a value of 22.62, whereas the simulation instrument projected 22.60. The recorded margin of deviation was extremely reduced, standing at merely 0.088%. These findings confirm that the designed computational architecture is highly precise and strongly recommended for integration into Internet of Things (IoT) ecosystems for real-time agricultural automation.
Fuzzy Logic-Based Paddy Field Irrigation Control Using pH, Moisture, and Water Level Muhammad Sulthan Alfriansyah; Setya Mega Bagaskara; Ghazy Hassan; Chika Hayya Sabillah; Muhammad Faiz Assariy; Rizki Achmad Rifa'i Dwi Warno
Journal of Applied Science, Technology & Humanities | JASTH Vol. 3 No. 3 (2026): June 2026
Publisher : Batrisya Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62535/zxfzgx38

Abstract

Efficient irrigation management is a crucial factor in increasing rice agricultural productivity and maintaining water resource sustainability. Conventional irrigation systems, which are still manually controlled, often lead to water waste, unstable soil moisture, and inappropriate water pH levels for plant growth. This research aims to design and implement a fuzzy logic-based rice field irrigation control system by considering three primary parameters: soil moisture, water level, and irrigation water pH. The system utilizes an Arduino Uno microcontroller integrated with a soil moisture sensor, an HC-SR04 ultrasonic sensor, and a pH sensor. The Mamdani Fuzzy Method is employed as the inference system to determine the opening angle of the water gate controlled by a servo motor. The rule base consists of 27 rules derived from the combination of three linguistic sets for each input variable. The defuzzification process uses the Centroid method to generate a crisp value in the form of the servo angle. The test results demonstrate that the system is capable of adaptively regulating water flow based on soil conditions and water quality, thereby reducing the risk of over-irrigation or under-irrigation. The proposed system exhibits more flexible performance compared to conventional threshold-based systems.
Co-Authors Abu Dzar Al-Ghifari Adhietya Try Anggara Ahmad Fahrezzi Alifvia Nabila Cesarina Subekti Aliya Fidella Almaida Pramesti Alwan Maulana Anastasya Gabriella Andhika Rizky Maulana Andity Indira Marchiana Annisa Pertiwi Hakim Annisa Royani Aphisa Nahl Fitria Arifa Fauzia Rahma Astrid Virta Ayu Alzahra Atikah Fahni Audrey Anastasia Silaen Aura Fadhilah Avril Berlian Dima Azhar Nasywa Saputra Aziz Rabih Rabbani Baihaqi Al Faatih Bayu Adi Nugroho Belvana Fazwa Athallah Bunga Ligar Balebat Chandradewi Ekaputri Chika Hayya Asabillah Chika Hayya Sabillah Cindy Novitasari Daffa Zulqhisti Daffa Zulqisthi Daffa Zulqitsi Denisa Nurul Az Zahra Destia Rahma Nurhaliza Dimas Muhammad Fathur Rifki Disty Isbiyanti Prananingrum Diva Nurina Aurelia Elva Vauziyah Evy Apriliani Fadhiel Fadhiel Naufal Huda Fadhiel Naufal Huda Fahmi Fadillah Fairuz Kamilah Ihsan Farhan Adha Fathir Gunadireja Fauziah Prima Aulia Febrina Disa Cinta Prasetyo Fildza Khairunida Ghazy Hassan Ghina Rania Gita Aisy Affatunnisa Grace Octo Suma Panjaitan Hafiz Kurniawan Hafizhah Nur Humairah Hanatasya Ramadhan Hilda Aulia Ainussyfa Hilda Fitria Hidayah Holy Nurani Rabbina Huwaida Asha Dhieva Iofema Malika Itsnaini Nur Rohmawati Jason Timoty Wijaya Kanaya Fatimah Madania Kevin Soerhensen Khansa Asrilia Suganda Khoirul Kodri Nasution Larisa Syafa Adisti Lola Amelia M Febriyansah Mariati Melati Afdizha Mrr Lukie Trianawati Mrr. Lukie Trianawat Mrr. Lukie Trianawati Mrr.Lukie Trianawati Muchammad Adham Nugraha Muhamad Ariq Maulana Muhammad Afzaal Abimanyu Muhammad Ghifari Fazan Putra Muhammad Rafa Najwan Muhammad Raihan Prasetya Muhammad Rayhan Kurniawan Muhammad Sakha Alfaizi Muhammad Sulthan Alfriansyah Mutiara Ade Rosseta Nadya Nafilah Nailah Azzahra Cinthari Nastiti Ayu Utami Naufal Auzan Ramadhan Nazwa Khairunnisa Novianty Fauziyah Nur Syahla Fatimah Nurani Amaliatunnisa Nurul Alfiani Dewi Prima Ananta Nugraha Putri Nurhaliza Candra Qorie Rania Rachel Delamaya Fefriani Rahadian Ilyasa Muhammad Raissa Nelvandra Putri Rakha Arya Gautama Revan Abdillah Rhaqim Putra Alrusdi Ridwan Kuasa Samudra Singajaya Rifki Oktavia Riris Rahayu Rizki Achmad Rifa'i Dwi Warno Rizki Ismaulana Ar Rasyid Rizqi Hasna Amalia Rohidi Salsabilla Kansa Ismail Setya Mega Bagaskara Shabrina Kesya Azizah Shalinadira Koswara Silvester Ariski Tobi Siti Hasna Raihana Sri Diana Sari Stilo Farrel Ticoalu Syafira Aristawidya Taufan Taufan Putra ananta Utari Oktaviani Vira Aulia Puteri Widya Puspita Hapsari Willa Wulandari Windy Fadhilah Aprilia Yassar Ariq Pradian Zuliandra Pratama