Design of a Smart Application (Limbekfeed) Using the Profile Matching Method in Determining the Dosage of Catfish Feeding

  • Abdurrahman Ridho Universitas Teuku Umar
  • Andriani Putri Universitas Teuku Umar
Abstract views: 58 , PDF downloads: 36
Keywords: Catfish farming, Feed dose determination, Intelligent application, Profile Matching method, Growth optimization

Abstract

In catfish farming, providing the right feed is crucial for optimal growth and health. However, determining the accurate dosage of feed that is suitable for individual catfish can be complex and time-consuming. To address this challenge, we have developed an intelligent application called "Limbekfeed" using the Profile Matching method for determining the dosage of catfish livestock feed. The prototype of this application leverages the Profile Matching method, which connects the profile of the catfish with the feed profiles available in the database. Users input data such as size, weight, age, and water quality. The prototype application then compares this data with the predefined feed profiles in the system and provides recommendations for the most suitable feed dosage. Test results indicate that the "Limbekfeed" application prototype is expected to provide feed dosage recommendations to help farmers avoid the risks of overfeeding or underfeeding.

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References

[1] Sofia LA, Yunita R. Peningkatan Nilai Ekonomi Hasil Perikanan: Pengembangan Bisnis Produk Olahan Berbasis Ikan Lele (Clarias Spp). J Pengabdi ILUNG (Inovasi Lahan Basah Unggul). 2021;1(1):38.
[2] Aprilliana DA, Fathoni F, Nurcahyo S. Perancangan Alat Pemberi Pakan Ikan Lele Otomatis Sesuai Dengan Usia Ikan Berbasis Android. J Elektron dan Otomasi Ind. 2022;9(1):17.
[3] Setiawan R. Rancang Bangun Alat Pemberi Pakan Ikan Menggunakan Mikrokontroler. J ICTEE. 2020;1(1):51–4.
[4] Putri AD, Dewi AR. Sistem Pendukung Keputusan Menerapkan Metode Profile Matching Sebagai Alternatif Penentuan Minyak Goreng Terbaik. J-SISKO TECH (Jurnal Teknol Sist Inf dan Sist Komput TGD). 2023;6(1):183.
[5] Wantoro A, Susanto ER. Penerapan Logika Fuzzy Dan Metode Profile Matching Pada Sistem Pakar Medis Untuk Diagnosis Covid-19 Dan Penyakit Lain Implementation of Fuzzy Logic and Profile Matching Method in Medical Expert Sistems for Diagnosis of Covid-19. 2022;9(5):1075–83.
[6] Efendi Z. Sistem Pendukung Keputusan Pemilihan Lokasi Perumahan Menggunakan Metode Profile Matching. JURTEKSI (Jurnal Teknol dan Sist Informasi). 2019;6(1):79–86.
[7] Setiawati I, Kosim K. Sistem Pendukung Keputusan Untuk Menentukan Pengangkatan Karyawan Menggunakan Metode Profile Matching. J Ilm Intech Inf Technol J UMUS. 2019;1(01):79–88.
[8] Sumanto S. Profile Matching Untuk Pemilihan Produk Asuransi Terbaik. J I M P - J Inform Merdeka Pasuruan. 2020;5(1):10–4.
[9] Bachtiar FA, Pradana F, Yudiari RD. Employee Recruitment Recommendation Using Profile Matching and Naïve Bayes. Proc 2019 4th Int Conf Sustain Inf Eng Technol SIET 2019. 2019;94–9.
[10] Rodriguez LG, Chavez EP. Feature selection for job matching application using profile matching model. 2019 IEEE 4th Int Conf Comput Commun Syst ICCCS 2019. 2019;263–6.
[11] Supriadi S, Putra SA. Perancangan Sistem Penjadwalan Dan Monitoring Pemberi Pakan Ikan Otomatis Berbasis Internet of Thing. J Apl Dan Inov Ipteks “Soliditas.” 2019;2(1):35.
[12] Ojo OO, Zigan S, Orchard J, Shah S. Advanced technology integration in food manufacturing supply chain environment: Pathway to sustainability and companies’ prosperity. 2019 IEEE Technol Eng Manag Conf TEMSCON 2019. 2019;1–7.
[13] Institute of Electrical and Electronics Engineers. 2016 4th International Conference on Information and Communication Technology (ICoICT) : 25-27 May 2016.
[14] Tanti L, Puspasari R, Triandi B. Employee Performance Assessment with Profile Matching Method.

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Published
2023-11-30
How to Cite
[1]
A. Ridho and A. Putri, “Design of a Smart Application (Limbekfeed) Using the Profile Matching Method in Determining the Dosage of Catfish Feeding ”, antivirus, vol. 17, no. 2, pp. 228-238, Nov. 2023.