Penerapan Metode MOORA pada Sistem Pemilihan Bibit Cabai (Kasus: Desa Bandar Siantar Kecamatan Gunung Malela)
Abstract
Red chili is one of the plants that is often used as a complement to spices in Indonesian society and makes chili plants one of their main crops. Some farmers often find it difficult to determine which chili seeds are good and resistant to viruses. In addition, farmers are also difficult to determine good chili seeds at affordable prices. The difficulty of determining which chili seeds are good often makes some farmers fail harvests and suffer considerable losses. This research was conducted in the village of Bandar Siantar, Gunung Malela District. Data is obtained by interviewing and observing directly to chili farmers. This study uses a decision support system technique with the Multi-Objective Optimization method on the basis of Ratio Analysis (MOORA) which can help farmers to determine good chili seeds. The assessment criteria used were the price of seeds (C1), Harvest Period (C2), Fruit Length (C3), Fruit Weight (C4), Chili Disease (C5), Number of Branches (C6) with 8 alternatives, namely: Lado (A1), Taro (A2), Belinda (A3), TM (A4), Kripsy (A5), Tebing (A6), Indra Pura (A7) and Keling (A8). The results of applying the MOORA method in choosing chili seeds are the type of Lado (A1) chili with a value (Yi (max) = 0.2080) becomes the first recommendation, TM (A4) with a value (Yi (max) = 0.2071) being ranked second and Indra Pura (A7) with a value (Yi (max) = 0.1974) becomes third place. This research is expected to help farmers in determining good chili seeds so that they can help the economy of the farmers and avoid crop failure, especially in the village of Bandar Siantar, Gunung Malela District.
Downloads
References
H. Imtiyaz, B. H. Prasetio, and N. Hidayat, “Sistem Pendukung Keputusan Budidaya Tanaman Cabai Berdasarkan Prediksi Curah Hujan,” J. Pengemb. Teknol. Inf. dan Ilmu Komput., vol. 1, no. 9, pp. 733–738, 2017.
W. H. Rachman, J. A. Widians, T. Informatika, F. Ilmu, T. Informasi, and U. Mulawarman, “Sistem Pendukung Keputusan Pemilihan Bibit Cabai Rawit Menggunakankan Metode Simple Additive Weighting ( Saw ) Berbasis Web,” Pros. Semin. Ilmu Komput. dan Teknol. Inf., vol. 2, no. 1, 2017.
A. P. Windarto, P. Studi, S. Informasi, and D. Mining, “Penerapan Data Mining Pada Ekspor Buah-Buahan Menurut Negara Tujuan Menggunakan K-Means Clustering,” vol. 16, no. 4, pp. 348–357, 2017.
S. Sudirman, A. P. Windarto, and A. Wanto, “Data Mining Tools | RapidMiner : K-Means Method on Clustering of Rice Crops by Province as Efforts to Stabilize Food Crops In Indonesia,” IOP Conf. Ser. Mater. Sci. Eng., vol. 420, no. 12089, pp. 1–8, 2018.
B. Supriyadi, A. P. Windarto, T. Soemartono, and Mungad, “Classification of natural disaster prone areas in Indonesia using K-means,” Int. J. Grid Distrib. Comput., vol. 11, no. 8, pp. 87–98, 2018.
A. P. Windarto, M. R. Lubis, and Solikhun, “Implementasi Jst Pada Prediksi Total Laba Rugi Komprehensif Bank Umum Konvensional Dengan Backpropagation,” J. Teknol. Inf. dan Ilmu Komput., vol. 5, no. 4, pp. 411–418, 2018.
A. P. Windarto, L. S. Dewi, and D. Hartama, “Implementation of Artificial Intelligence in Predicting the Value of Indonesian Oil and Gas Exports With BP Algorithm,” Int. J. Recent Trends Eng. Res., vol. 3, no. 10, pp. 1–12, 2017.
Sumijan, A. P. Windarto, A. Muhammad, and Budiharjo, “Implementation of Neural Networks in Predicting the Understanding Level of Students Subject,” Int. J. Softw. Eng. Its Appl., vol. 10, no. 10, pp. 189–204, 2016.
Solikhun, A. P. Windarto, Handrizal, and M.Fauzan, “Jaringan Saraf Tiruan Dalam Memprediksi Sukuk Negara Ritel Berdasarkan Kelompok Profesi Dengan Backpropogation Dalam Mendorong Laju Pertumbuhan Ekonomi,” Kumpul. J. Ilmu Komput., vol. 4, no. 2, pp. 184–197, 2017.
A. P. Windarto, M. R. Lubis, and Solikhun, “Model Arsitektur Neural Network Dengan Backpropogation Pada Prediksi Total Laba Rugi Komprehensif Bank Umum Konvensional,” Kumpul. J. Ilmu Komput., vol. 5, no. 2, pp. 147–158, 2018.
S. R. Ningsih and A. P. Windarto, “Penerapan Metode Promethee II Pada Dosen Penerima Hibah P2M Internal,” InfoTekJar (Jurnal Nas. Inform. dan Teknol. Jaringan), vol. 3, no. 1, pp. 20–25, 2018.
A. P. W. Budiharjo and A. Muhammad, “Comparison of Weighted Sum Model and Multi Attribute Decision Making Weighted Product Methods in Selecting the Best Elementary School in Indonesia,” Int. J. Softw. Eng. Its Appl., vol. 11, no. 4, pp. 69–90, 2017.
D. N. Batubara, D. R. S. P, and A. P. Windarto, “Penerapan Metode PROMETHEE II Pada Pemilihan Situs Travel Berdasarkan Konsumen,” no. 1.
D. R. Sari, A. P. Windarto, D. Hartama, and S. Solikhun, “Sistem Pendukung Keputusan untuk Rekomendasi Kelulusan Sidang Skripsi Menggunakan Metode AHP-TOPSIS,” J. Teknol. dan Sist. Komput., vol. 6, no. 1, p. 1, 2018.
A. P. Windarto, “Implementasi Metode TOPSIS dan SAW Dalam Memberikan Reward Pelanggan,” Klik - Kumpul. J. Ilmu Komput., vol. 4, no. 1, p. 88, 2017.
S. R. Rani, R. Rizka, and A. Perdana, “Analisis Metode Profile Matching Pada Rekomendasi Cat Dinding Rumah Berdasarkan Konsumen,” J. Ilm. KOMPUTASI, vol. 17, 2018.
T. Imandasari and A. P. Windarto, “Sistem Pendukung Keputusan dalam Merekomendasikan Unit Terbaik di PDAM Tirta Lihou Menggunakan Metode Promethee,” J. Teknol. dan Sist. Komput., vol. 5, no. 4, p. 159, 2017.
M. Turnip, “Sistem Pakar Diagnosa Penyakit THT Menggunakan Metode Backward Chaining,” Riau J. Comput. Sci., vol. 1, no. 1, pp. 1–8, 2015.
N. W. Al-Hafiz, Mesran, and Suginam, “Sistem Pendukung Keputusan Penentukan Kredit Pemilikan Rumah Menerapkan Multi-Objective Optimization on the Basis of Ratio Analysis ( Moora ),” KOMIK (Konferensi Nas. Teknol. Inf. dan Komputer), vol. I, no. 1, pp. 306–309, 2017.
M. Ashari and F. Mintarsih, “QUERY : Jurnal Sistem Informasi Volume : 01 , Number : 02 , October 2017 ISSN 2579-5341 ( online ) Aplikasi Pemilihan Bibit Budidaya Ikan Air Tawar dengan Metode MOORA – Entropy QUERY : Jurnal Sistem Informasi Volume : 01 , Number : 02 , October 2017 ISSN,” vol. 1, no. October, 2017.
S. Manurung, “Sistem Pendukung Keputusan Pemilihan Guru dan Pegawai Terbaik Menggunakan Metode Moora,” SIMETRIS, vol. 9, no. 1, pp. 701–706, 2018.
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License (Attribution-ShareAlike 4.0 International (CC BY-SA 4.0) ) that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).
