Penerapan Metode SMART Dalam Pemilihan Kelayakan Ayam Potong Bagi Peternak Ayam
Keywords:Decision Support System, Chickens, SMART Method, Chicken Farmers
The livestock sector in chickens is an option that can be filled in a chicken farm. Selection of a suitable type of chicken is from a chicken farm in order to get good quality. The purpose of this study was to suggest or care for the best chickens that were fit for slaughter using the SMART method. We obtained the data source by interview. And furthermore providing access to 4 types of chickens from one research site in our area in the village of like the earth, bamang hulu sub-district, East Kotawaringin district, the types of chickens used (alternatives), namely: turkey (A1), native chicken (A2), chicken kate (A3), Chicken Race (A4), the criteria we use are: Stock (K1), Price (K2), Quality (K3), and Size (K4). The results of our research conclude that turkey (A1) becomes the first recommended chicken with a value of 1 and native chicken becomes the second chicken (A2). One of the recommendations is the second recommended value of 0.426
M. D. Sinaga and N. S. B. Sembiring, “Penerapan Metode Dempster Shafer Untuk Mendiagnosa Penyakit Dari Akibat Bakteri Salmonella,” CogITo Smart J., vol. 2, no. 2, p. 94, 2016.
M. Safrizal, “Sistem Pendukung Keputusan Pemilihan Karyawan Teladan dengan Metode SMART (Simple Multi Attribute Rating Technique),” 2015.
S. D. Riskiono and U. Reginal, “SISTEM INFORMASI PELAYANAN JASA TOUR DAN TRAVEL BERBASIS WEB (STUDI KASUS SMART TOUR),” J. Inf. dan Komput., 2018.
T. Magrisa, K. D. K. Wardhani, and M. R. A. Saf, “Implementasi Metode SMART pada Sistem Pendukung Keputusan Pemilihan Kegiatan Ekstrakurikuler untuk Siswa SMA,” Inform. Mulawarman J. Ilm. Ilmu Komput., 2018.
Yeni Kustiyahningsih and N. Syafa’ah, “Sistem Pendukung Keputusan Untuk Menentukan Jurusan Pada Siswa Sma Menggunakan Metode Knn Dan Smart,” Jsii, 2014.
T. Limbong et al., Sistem Pendukung Keputusan: Metode & Implementasi. Medan: Yayasan Kita Menulis, 2020.
S. Kusumadewi, S. Hartati, A. Harjoko, and Retantyo Wardoyo, Fuzzy Multi-Attribute Decision Making (FUZZY MADM). 2006.
E. Turban, J. E. Aronson, and T. Liang, “Decision Support Systems and Intelligent Systems.”
Risawandi and R. Rahim, “Study of the Simple Multi-Attribute Rating Technique For Decision Support,” IJSRST, vol. 2, no. 6, pp. 491–494, 2016.
B. Sari, B. Sembiring, M. Zarlis, A. Agusnady, and T. Qowidho, “Comparison of SMART and SAW Methods in Decision Making,” in The International Conference on Computer Science and Applied Mathematic, 2019.
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