Implementation of the K-Nearest Neighbor Algorithm Determination of Fish Feed Dosage
DOI:
https://doi.org/10.29407/noe.v8i02.25658Keywords:
decision support system, feed classification, feed distribution, fish farming, k-nearest neighbor algorithmAbstract
Feeding is one of the important factors in fish farming because it contributes a large part of the total operational costs. Incorrect feed dosage can cause waste or inhibit fish growth. This study aims to develop a system for determining fish feed dosage automatically using the K-Nearest Neighbor (KNN) algorithm. The system uses input in the form of fish weight and age to predict the percentage of daily feed requirements, which is then multiplied by biomass to produce the amount of feed required. The study was conducted using a quantitative approach and experimental methods. Data were collected through observation and interviews with fish farmers, then through a pre-processing stage before being trained using KNN. This system also recommends the type of feed based on the classification of fish age. The application is built with the Streamlit framework and tested through functional and non-functional testing. The test results show that the system runs well, produces consistent output, is quickly accessible, and is easy to use on various devices. With good classification accuracy, this system is able to help farmers, especially beginners, in determining the appropriate dosage and type of feed efficiently and based on data. This system is expected to improve cultivation efficiency and support sustainable aquaculture practices.
References
Anwar, L. O., Payama, W., & Sari, S. F. (2024). Analisis Mutu Kimia Pakan Ikan dari Tepung Ikan Julung-Julung (Hemiramphus sp.) Sebagai Sumber Protein Utama. JSIPi (JURNAL SAINS DAN INOVASI PERIKANAN)(JOURNAL OF FISHERY SCIENCE AND INNOVATION), 8(1), 53–60.
Ekasari, J., Banin, M. I. L., Fauzi, I. A., & Vinasyiam, A. (t.t.). EVALUASI MANAJEMEN PEMBERIAN PAKAN PADA PEMBESARAN IKAN LELE DENGAN SISTEM BIOFLOK PADA SKALA LAPANG. Saintek Perikanan: Indonesian Journal of Fisheries Science and Technology, 20(2).
Firmansyah, D., Syauqy, D., & Maulana, R. (2019). Implementasi Algoritme K-Nearest Neighbour pada Sistem Monitoring dan Klasifikasi Air Aquarium Ikan Koi berbasis Embedded System. Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer, 3(8), 8104–8111.
Janna, M., & Pasau, N. S. (2022). Analisis proksimat pakan ikan di Balai Budidaya Air Payau Takalar. Filogeni: Jurnal Mahasiswa Biologi, 2(3), 86–90.
Khazaidan, K., & Mikdarullah, M. (t.t.). ANALISIS BEBERAPA BAHAN PAKAN IKAN SECARA PROKSIMAT. Buletin Teknik Litkayasa Akuakultur, 15(2), 83–88.
Kurniawan, D. W. (2019). Analisa pengelolaan pakan ikan lele guna efisiensi biaya produksi untuk meningkatkan hasil penjualan. IQTISHADequity: Ekonomi dan Bisnis, 2(1), 54–67.
Maulidan, A., Rifai, M., & Achmadiah, M. N. (2023). Implementasi Metode K-Nearest Neighbor Pada Penelitian Sistem Otomasi Pemberian Pakan Ikan Nila Bioflok. Jurnal Elektronika dan Otomasi Industri, 10(3), 354–360.
Mikdarullah, M., Nugraha, A., & Khazaidan, K. (2020). Analisis proksimat tepung ikan dari beberapa lokasi yang berbeda. Buletin Teknik Litkayasa Akuakultur, 18(2), 133–138.
Suhartono, A. F., Kallista, M., & Wibowo, I. P. D. (2024). Implementasi Folium dan Streamlit Pada Website Klasifikasi Kualitas Air Sungai Citarum (CITASI). eProceedings of Engineering, 11(4), 3148–3155.
Syafarina, G. A., & Zaenuddin, Z. (2023a). Implementasi Framework Streamlit Sebagai Prediksi Harga Jual Rumah Dengan Linear Regresi. Metik Jurnal, 7(2), 121–125.
Syafarina, G. A., & Zaenuddin, Z. (2023b). Implementasi Framework Streamlit Sebagai Prediksi Harga Jual Rumah Dengan Linear Regresi. Metik Jurnal, 7(2), 121–125.
Wahyudin, Y., & Rahayu, D. N. (2020). Analisis metode pengembangan sistem informasi berbasis website: a literatur review. Jurnal Interkom: Jurnal Publikasi Ilmiah Bidang Teknologi Informasi Dan Komunikasi, 15(3), 119–133.
Wahyuni, E. D., & Sari, R. P. (2024). Transformasi Data Statistik Menjadi Visual Interaktif Menggunakan Streamlit: Studi Kasus BPS Kota Mojokerto. JURNAL KRIDATAMA SAINS DAN TEKNOLOGI, 6(02), 804–822.
Downloads
Published
Issue
Section
License
Copyright (c) 2025 Rony Heri Irawan, Rizki Dwi Febrian, Risa Helilintar
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
Authors who publish with this journal agree to the following terms:
- Copyright on any article is retained by the author(s).
- The author grants the journal, right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgment of the work’s authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal’s published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work.
- The article and any associated published material is distributed under the Creative Commons Attribution-ShareAlike 4.0 International License
How to Cite
