Optimalisasi Pengendalian Kualitas Bahan Baku Pakan Ternak Menggunakan Metode Fuzzy Logic Mamdani
Abstract
Quality control of raw materials in animal feed production is critical for ensuring the quality of the final product and maintaining operational cost efficiency. Substandard raw materials can lead to diminished nutritional value in animal feed and price fluctuations, ultimately threatening the sustainability customer satisfaction. This study aims to enhance the quality control of raw materials by utilizing the Fuzzy Logic Mamdani method, which assesses the relationship between input and output variables through 27 fuzzy rules. The defuzzification process employed the centroid approach, revealing that the room temperature was 15°C (moderate), the delivery time was 4 days (moderate), and the storage duration was 15 days (moderate). This combination resulted in a moisture content level of 15% (moderate). The findings of this study indicate that these 3 variables significantly influence moisture content, providing a valuable reference for controlling the quality of feed raw materials PT SJG.
References
Hendratama, T., Broadstock, D., & Sulaeman, J. (2024). ESG Data Primer: Current Usage & Future Applications. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.4673049
Kastina, M., & Silalahi, M. (2016). Logika Fuzzy Metode Mamdani Dalam Sistem Keputusan Fuzzy Produksi Menggunakan Matlab. Logika Fuzzy Metode Mamdani Dalam Sistem Keputusan Fuzzy Produksi Menggunakan Matlab Jurnal Ilmu Komputer, 1(2), 171–181.
Mattos-Vela, M. A. (2021). Open access. British Dental Journal, 231(4), 207. https://doi.org/10.1038/s41415-021-3384-2
Musianto, L. S. (2002). Perbedaan Pendekatan Kuantitatif Dengan Pendekatan Kualitatif Dalam Metode Penelitian. Jurnal Manajemen Dan Wirausaha, 4(2), 123–136. https://doi.org/10.9744/jmk.4.2.pp.123-136
Nurillah, Ahda, Y., & Erlita, Y. (2023). Uji Kadar Air Pakan Ternak Daerah Sijunjung dengan Metode Gravimetri. Prosiding SEMNAS BIO, 1241–1246.
Omar, A., Waweru, M., of, R. R.-T. I. J., & 2015, undefined. (2015). A literature survey: Fuzzy logic and qualitative performance evaluation of supply chain management. Theijes.Com, 56–63. http://www.theijes.com/papers/v4-i5/Version-1/G0451056063.pdf
Primadani, Y. B., Adi, P., & Dewi, P. E. (2020). Analisis Perencanaan Produksi Dan Pengendalian Bahan Baku Pakan Ternak Di PT Japfa Comfeed Indonesia Unit Margomulyo Surabaya. Teknologi, 1–16.
Rahakbauw, D. L., Rianekuay, F. J., Lesnussa, Y. A., & Matematika, J. (2019). Maluku-Indonesia). Jurnal Ilmiah Matematika Dan Terapan, 16(April 2016), 119–127.
Rukhmana, T. (2021). Jurnal Edu Research Indonesian Institute For Corporate Learning And Studies (IICLS) Page 25. Jurnal Edu Research : Indonesian Institute For Corporate Learning And Studies (IICLS), 2(2), 28–33.
Septiyani, N., & Agoestanto, A. (2023). Penerapan Logika Fuzzy Mamdani Pada Prakiraan Cuaca Harian di Kabupaten Cilacap. PRISMA, Prosiding Seminar Nasional Matematika 6. Prisma, 6, 786–795. https://journal.unnes.ac.id/sju/index.php/prisma/
Sudrajad, P., Volkandari, S. D., Cahyadi, M., Prasetyo, A., Komalawati, K., Wibowo, S., & Subiharta, S. (2021). Pemanfaatan informasi genom untuk eksplorasi struktur genetik dan asosiasinya dengan performan ternak di Indonesia. Livestock and Animal Research, 19(1), 1. https://doi.org/10.20961/lar.v19i1.47658