Estimasi Bobot Ikan Bandeng Menggunakan Segmentasi Citra Biner
Abstract
Penelitian ini bertujuan Untuk menentukan estimasi bobot ikan bandeng melalui citra, telah dibuat suatu sistem untuk melakukan segmentasi pada citra ikan bandeng. prosesnya di mulai dengan menginput citra digital ikan bandeng kemudian dikonversi ke citra grayscale dan citra biner menggunakan metode threshold kemudian dilakukan penghalusan citra menggunakan metodemorfologi closing. prediksi bobot ditentukan dengan menggunakan metoderegresi linear sederhana dengan persamaan regresi untuk data yang menggunakan metode morfologiclosing Y=-183,16+0,000268X menghasilkannilai error rata-rata sebesar 1,277% dan persamaan regeresi data tanpa metode morfologi closing Y=-152,04 +0,000275X menghasilkan nilai error rata-rata 3,611%.
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References
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Akhmad Wasiur Rizqi, & Moh Jufriyanto. (2020). Manajemen Risiko Rantai Pasok Ikan Bandeng Kelompok Tani Tambak Bungkak dengan Integrasi Metode Analytic Network Process (ANP) dan Failure Mode and Effect Analysis (FMEA). Jurnal Sistem Teknik Industri, 22(2), 88–107. https://doi.org/10.32734/jsti.v22i2.3949
Awalludin, E. A., Arsad, T. N. T., & Wan Yussof, W. N. J. H. (2020). A Review on Image Processing Techniques for Fisheries Application. Journal of Physics: Conference Series, 1529(5). https://doi.org/10.1088/1742-6596/1529/5/052031
Cheng, X., Zhang, F., Chen, X., & Wang, J. (2023). Application of Artificial Intelligence in the Study of Fishing Vessel Behavior. Fishes, 8(10), 1–19. https://doi.org/10.3390/fishes8100516
Dadiono, M. S., Wijaya, R., Kusuma, R. O., & Aminin, A. (2023). SIMULASI ANALISIS KELAYAKAN USAHA BUDIDAYA IKAN BANDENG (Chanos chanos) KUARTAL PERTAMA TAHUN 2022. Jurnal Perikanan Pantura (JPP), 6(1), 305. https://doi.org/10.30587/jpp.v6i1.4582
Desai, N. P., Farhan Baluch, M., Makrariya, A., & Musheeraziz, R. (2022). Image processing Model with Deep Learning Approach for Fish Species Classification. Turkish Journal of Computer and Mathematics Education, 13(01), 85–99.
Hafifah, A., Kasrina, K., & Singkam, A. R. (2020). Desain Dan Validitas Lembar Kerja Peserta Didik Berdasarkan Keragaman Ikan Di Sungai Pura Bengkulu Utara. Diklabio: Jurnal Pendidikan Dan Pembelajaran Biologi, 4(2), 121–128. https://doi.org/10.33369/diklabio.4.2.121-128
Ismail, M. V. W. (2023). PENERAPAN ALGORITMA GRAPHIC RATING SCALE PADA SISTEM PENILAIAN KINERJA GURU NON PEGAWAI NEGERI SIPIL SMAN 2 SIDRAP. Jurnal Instek, 8(2), 257–264. https://bnr.bg/post/101787017/bsp-za-balgaria-e-pod-nomer-1-v-buletinata-za-vota-gerb-s-nomer-2-pp-db-s-nomer-12
Kaharuddin, K., & Sholeha, E. W. (2021). Classification of Fish Species with Image Data Using K-Nearest Neighbor. International Journal of Computer and Information System (IJCIS), 2(2), 54–58. https://doi.org/10.29040/ijcis.v2i2.33
Kurniawan, D. (2020). Pendugaan Stok Ikan Selar (Atule mate) di Perairan Kabupaten Pangkajene dan Kepulauan, Sulawesi Selatan. Jurnal Akuatiklestari, 3(2), 35–42. https://doi.org/10.31629/akuatiklestari.v3i2.3035
Michael, D., & Gustina, D. (2019). Rancang Bangun Prototype Monitoring Kapasitas Air Pada Kolam Ikan Secara Otomatis Dengan Menggunakan Mikrokontroller Arduino. IKRA-ITH Informatika, 3(2), 59–66. https://journals.upi-yai.ac.id/index.php/ikraith-informatika/article/view/319
Negi, S., Yadav, N., Rawat, R., & Singh, R. (2019). An effective technique for determining fish freshness using image processing. International Journal of Innovative Technology and Exploring Engineering, 8(9 Special Issue), 460–464. https://doi.org/10.35940/ijitee.I1073.0789S19
Nuraini, R. (2022). Identification of Freshwater Fish Types Using Linear Discriminant Analysis (LDA) Algorithm. The IJICS (International Journal of Informatics and Computer Science), 6(3), 147. https://doi.org/10.30865/ijics.v6i3.5565
Tolentino, L. K. S., De Pedro, C. P., Icamina, J. D., Navarro, J. B. E., Salvacion, L. J. D., Sobrevilla, G. C. D., Villanueva, A. A., Amado, T. M., Padilla, M. V. C., & Madrigal, G. A. M. (2020). Weight prediction system for Nile Tilapia using image processing and predictive analysis. International Journal of Advanced Computer Science and Applications, 11(8), 399–406. https://doi.org/10.14569/IJACSA.2020.0110851
Published
2024-04-14
How to Cite
MusakkirM., NurtanioI., & ZainuddinZ. (2024). Estimasi Bobot Ikan Bandeng Menggunakan Segmentasi Citra Biner. Jurnal Ilmiah Sistem Informasi Dan Teknik Informatika (JISTI), 7(1), 24-35. https://doi.org/10.57093/jisti.v7i1.181
Section
Articles
JISTI
