Alat Pemberi Pakan Ikan Lele Dalam Drum Otomatis Berdasarkan Usia dan Jumlah Ikan Dengan Metode Fuzzy Logic
Abstract
Abstract— The trend for consumption fish consumption continues to increase rapidly, even the Food and Agriculture Organization (FAO), says fish cultivation output is expected to increase by around 172 million tonnes in 2021. Therefore efforts are needed to increase national catfish production. New methods of cultivating catfish have emerged, one of which is the method of cultivating catfish in drums. However, there are still many catfish breeders in drums in Indonesia who still use conventional methods which are no longer effective, because many catfish seeds die before maturity, this is due, among other things, to unscheduled feeding and the amount of feed weight that is inaccurate with the amount and the age of the fish in a drum which causes the growth of catfish to be less than optimal. Based on these problems, it is encouraging to develop a tool that can control and monitor fish feeding schedules and the total weight of fish feed according to the number and age of fish in one drum based on a microcontroller by utilizing the fuzzy logic method which can facilitate the process of reasoning in language. (linguistic reasoning), and only by means of a smartphone, farmers can set feeding schedules and choose the number of fish and the age of the fish in a drum. The result is that the tool is able to provide feed according to the feed schedule with an error rate of 0%, and the tool can provide feed according to the feed dosage with an accuracy of up to 98.9% with an average accuracy of 96.09%.
Keywords— Automatic Fish Feeder, MQTT Dashboard, Fuzzy Logic
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References
[2] Allya A. P. Syah, K. S, “Sistem Pemberi Pakan Otomatis, Ph Regulator Dan Kendali Suhu Menggunakan Fuzzy Logic Pada Aquarium,”Jurnal Teknologi Elektro, Vol. 10 No. 3, 2019.
[3] Gunawan, 99% Sukses Budidaya Lele, Jakarta Timur: Penebar Swadaya, 2016.
[4] Harika Devi Kotha, V. M, “IoT Application, A Survey,” International Journal of Engineering & Technology, 2018.
[5] Ken (2020) Mengenal Teknik Budidaya Lele Tingkat Dasar. [Online]. Available: https://perikanan.pamekasankab.go.id/mari-mengenal-teknik-budidaya-lele-tingkat-dasar.html#:~:text=Perhatikan%20Pakan%20Lele&text=Takaran%20pemberian%20pakan%20berkisar%20antara,tidak%20mengendap%20dan%20menjadi%20racun.
[6] Kordi, M. G. Kiat Sukses Pembesaran Lele Unggul. Yogyakarta: Lily Publisher, 2012.
[7] KKP, “Refleksi & Outlook 2018 & 2019.” Kementerian Kelautan dan Perikanan, 2018.
[8] Agusma W, “Implementasi Fuzzy Logic Pada Robot Line Follower,” Jurnal Teknologi Informasi dan Ilmu Komputer (JTIIK), Vol. 5, No. 4, 2018.
[9] C. G. I. Raditya, P. A. S. Dharma, and K. A. Widyatmika, “Pendeteksi Penggunaan Masker Wajah dengan ESP32 Cam Menggunakan OpenCV dan TensorFlow,” Majalah Ilmiah Teknologi Elektro, Vol. 21, No.2, Juli – Desember 2022.
[10] P. L. B. S. J. Amertha, R. S. Hartati, and M. Sudarma, “Sistem Monitoring dan Kontrol Tangki Air Menggunakan Raspberry Pi Berbasis Bot Telegram,” Majalah Ilmiah Teknologi Elektro, Vol. 21, No.2, Juli - Desember 2022.
[11] I K. C. Arta, I K. A. H. Anggara, A. Febriyanto, “Advanced Fire & Gas Safety Control Berbasis IoT,” Majalah Ilmiah Teknologi Elektro, Vol. 21, No.2, Juli - Desember 2022.
[12] J. Nasir, and J. Suprianto, “Analisis Fuzzy Logic Menentukan Pemilihan Motor Honda Dengan Metode Mamdani,” Jurnal Edik Informatika V3.i2(177-186) 2017.
[13] G. Dewantoro, D. Susilo, and P. P. Adi, “Implementasi Pengendali Logika Fuzzy pada Navigasi Robot Penjejak Dinding,” Majalah Ilmiah Teknologi Elektro, Vol. 16, No. 02, Mei - Agustus 2017.
[14] E. T. Ariyanto, and Sutikno, “Penerapan Logika Fuzzy Untuk Menentukan Kondisi Mesin Pada Motor Transmisi Manual (Studi Kasus Honda Cs-1),” Jurnal SIMETRIS, Vol. 9 No. 1 April 2018.
[15] Y. Efendi, “Internet Of Things (IoT) Sistem Pengendalian Lampu Menggunakan Raspberry Pi Berbasis Mobile,” Jurnal Ilmiah Ilmu Komputer, Vol. 4, No. 1, April 2018.
[16] F. Susanto, N. K. Prasiani, and P. Darmawan, “Implementasi Internet Of Things Dalam Kehidupan Sehari-Hari,” Jurnal Imagine Vol. 2 No 1 – April 2022.
[17] J. Iskandar, and D. K. Utami, "Penerapan Fuzzy Logic Untuk Meningkatkan Derajat Kebenaran Deteksi Pada Alat Bantu Buta Warna Berbasis Sensor Optik,” Jurnal Ilmiah Ilmu Komputer dan Matematika Vol.16, No.1, Januari 2019.
[18] A. Jemaa, O. Zarrad, M. A. Hajjaji,and M. N. Mansouri, "Hardware Implementation of a Fuzzy Logic Controller for a Hybrid Wind-Solar System in an Isolated Site," International Journal of Photoenergy Volume 2018.
[19] A. A. Yufrida, L. P. Rahayu, and D. F. Syahbana, “Implementasi Kontrol Torsi Motor Servo Menggunakan Metode PI pada Sistem Automatic Pallet Dispenser,” Jurnal Teknik Its Vol. 10, No. 2, 2021.
[20] U. Latifa, and J. S. Saputro, "Perancangan Robot Arm Gripper Berbasis Arduino Uno Menggunakan Antarmuka Labview," Barometer, Volume 3 No.2, Juli 2018.
[21] Ramdan, Lasmadi, and P. Setiawan, "Sistem Pengendali On-Off Lampu dan Motor Servo sebagai Penggerak Gerendel Pintu Berbasis Internet Of Things (IoT)," AVITEC, Vol. 4, No. 2, August 2022.
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This work is licensed under a Creative Commons Attribution 4.0 International License
