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Hendriana, Andri
Study Program Production Technology And Management Of Aquaculture, College Of Vocational Studies, IPB University, Bogor, West Java, 16680. Indonesia
Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Biochemistry, Genetics & Molecular Biology Chemistry Computer Science & IT Control & Systems Engineering Earth & Planetary Sciences Economics, Econometrics & Finance Education Environmental Science Health Professions Immunology & microbiology Neuroscience Physics Social Sciences Veterinary Other

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Journal : Current STEAM and Education Research

 1 
Artificial Neural Network-Based Classification of Water Quality Status in Ornamental Fish Farming Using IoT Sensor Data Aziezah, Nur; Sholihah, Walidatush; Marcelita, Faldiena; Novianty, Inna; Hendriana, Andri; Kusumanti, Ima
Current STEAM and Education Research Vol. 3 No. 3 (2025): Current STEAM and Education Research, Volume 3 Issue 3, December 2025
Publisher : MJI Publisher by PT Mitra Jurnal Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58797/cser.030302

Abstract

Water quality plays an important role in sustainable agriculture. Water quality also affects the quality and quantity of fishery production. In ornamental fish cultivation, water quality influences not only production, but also the shape and color of the fish. To achieve optimal results, water quality parameters need to be maintained. Manually monitoring water quality parameters faces many challenges such as being time-consuming and not providing real-time data. This study investigated the application of Artificial Neural Networks (ANNs) in classifying water quality status. This status is based on data collected using sensors in an Internet of Things (IoT)-based monitoring system. The dataset comprised five key parameters: pH, temperature, ammonia, total dissolved solids (TDS), and total suspended solids (TSS). This data was collected from aquariums cultivating the Denison barb (Sahyadria denisonii). Data preprocessing was performed using feature standardization. This aims to improve model performance. The ANN model was constructed with two hidden layers (32 and 16 neurons). This model was trained using the Adam optimizer, with categorical cross-entropy as the loss function. The dataset was divided into 80% for training and 20% for testing. The trained ANN model achieved an accuracy of 99.95%. It has low false-positive and false-negative rates. These results demonstrate the effectiveness of ANN in predicting water quality status using sensor-based data. This suggests its potential for real-time monitoring and decision-making support in small-scale ornamental fish aquaculture.
Co-Authors Abdullah , Ega Abdurahim, Abdurahim Abuzzar Abuzzar Afrizal Rizki Aganindra, Rafi Kansa Aji, Harjuna Setiawan Amalia, Diana Anassyahtira, Aliffia Andri Iskandar Andri Iskandar Ansarullah, Habib Anshar, Muhammad Auzan Arianto, Achib Dannar Arzi, Jibal Rizki Akbar Asep Syamsul Munawar Astiyani, Wahyu Puji Aulia, Salsabila Setya Azri, Ahdian Mirza Billi Rifa Kusumah Bio Prasetyo Budi Darmawan Cahyo, Arif Dwi Cecilia Eny Indriastuti Chandra , Agus DEDI JUSADI Deni Lugina Dian Eka Ramadhani Dinamella Wahjuningrum Eddy Supriyono Eny Indriastuti , Cecilia Eny Indriastuti, Cecilia Erlin Arlitasari Erni Sulistiawati Fachrezi, Muhammad Hafidz Fajar Ridwansyah Fauzi , Rizal Firdausi, Amalia Putri Fuadi , Muhammad Giri Maruto Darmawangsa Giri Maruto Darmawangsa Giri Maruto Darmawangsa Giri Maruto Darmawangsa, Giri Maruto Glenaldi Halim Haifa, Aliya Nurul Harsono, Agus Hermawan , Imza Hernawan, Systa Ambar Wangi Hikmah, Poppy Nurul Ima Kusumanti Indi Jaka Nugraha Indriastuti, Cecilia Eny Iqbal Kurniawinata, Mohamad Iskandar, Andri Joko Pitono Julie Ekasari Khairunisa, Tazkia Putri Khoerullah Khoerullah Kusumanti , Ima Latifah, Nabila Siti Lesmana, Dudi Lesmanawati, Wida Lutfi Lutfi M. Agung Zaim Adzkiya M. Muslim Maha, Indah Permata Sari Br Maha, Indah Permatasari Mahendra, Tangkas Mahfuddin Zuhri Marcelita, Faldiena Maruto Darmawangsa, Giri Mashita, Nurul Maynanda, Rebecca Mia Setiawati Muarif Muarif MUHAMMAD AGUS SUPRAYUDI Muhammad Arif Mulya Muhammad Arif Mulya Muhammad Fajar Rejcky Muhammad Saifuddin Muksin Muksin Mulya, Muhammad Arif Muslim Muslim Nabila Putri Endarto Nabilla Putri Endrassanto Naily, Alifah Neny Mariyani Novianty, Inna Noviyanti, Inna Nur Aziezah Nurrafa, Nazla Wafi Odang Carman Permatasari, Sheny Prasetyo, Bio Pratiwi, Salsabila Kusumaning Priatna, Moh. Fahri Aulia Priatna, Mohamad Fahri R Tresia Pinem Rachella Angel Hitron Ramadhani, Dian Eka Ramdan,, Ramdan, Rangkuti, Gavrilan Hafiz Rayhan, Rayhan Rega Virgiawan Anwar Ridwan Siskandar Rivasa, Varel Raihan Rusmawan , Deni Sari , Sifa Fauziah Ganda Satrio Yudha Wisesa Setiawan, Aep Sheny Permatasari Sholihah, Walidatush Siknun, Alya Zahra Supriyantoro, Wowo Taufiqulloh Tri Wahyudi, Imam Trianto, Y Ulzanah, Nida Umaya, Indriani Wahyudi , Imam Tri Wahyudi, Imam Tri Wida Lesmanawati Wida Lesmanawati Wildan Nurussalam Wiyoto Wiyoto Wiyoto Wiyoto, Wiyoto Y Trianto Yahya Ian Keyvin Sitio Yuni Puji Hastuti