Implementation of the Smart Method in Determining Organic Fertilizer in Palm Oil Plantations At PTPN IV Bah Jambi

Muhammad Hafiz; Ihsan Lubis; Dedy Irwan

doi:10.55537/cosie.v3i1.716

Authors

Muhammad Hafiz Universitas Harapan Medan
Ihsan Lubis Universitas Harapan Medan
Dedy Irwan Universitas Harapan Medan

DOI:

https://doi.org/10.55537/cosie.v3i1.716

Keywords:

Selection of the best organic fertilizer, SMART, Decision Support System

Abstract

Organic fertilizer is fertilizer composed of living creature material, such as weathered remains of plants, animals and humans. Organic fertilizer can be in solid or liquid form and is used to improve the physical, chemical and biological properties of soil. Organic fertilizer contains more organic material than its nutrient content. Sources of organic material can be compost, green manure, manure, harvest residues (straw, stover, corn cobs, sugar cane bagasse, and coconut husks), livestock waste, industrial waste that uses agricultural materials, and municipal waste (garbage). One solution for choosing the best organic fertilizer is to use a decision support system for selecting the best organic fertilizer using the Specific, Measurable, Achievable, Relevant and Timely (SMART) method. Where the author carries out calculations using the formulas available in the SMART method. A web-based application that has been created with a decision support system can make it easier for workers to choose the best organic fertilizer. The method used, namely the SMART method, has quite accurate results by going through several calculation processes.

References

A. H. Nasyuha, S. Yakub, W. R. Maya, Y. Syahra, and S. Saniman, “Analisis Wsm Dan Wp Dalam Menentukan Pupuk Terbaik Dengan Pendekatan Wsm-Score Dan Vector,” J. Sci. Soc. Res., vol. 4, no. 2, pp. 122–130, 2021.

A. R. Lubis, S. Prayudani, O. Nugroho, Y. Y. Lase, and M. Lubis, “Comparison of Model in Predicting Customer Churn Based on Users’ habits on E-Commerce,” in 2022 5th International Seminar on Research of Information Technology and Intelligent Systems (ISRITI), IEEE, 2022, pp. 300–305.

D. R. B. Bangun, D. Saripurna, J. Simanjuntak, and V. A. R. Pasaribu, “Sistem Pendukung Keputusan Penerimaan Bantuan Pupuk Kompos terhadap Kelompok Tani di Kecamatan Payung menggunakan Metode Visekriterijumska Kompromisno Rangijanje (VIKOR),” Citra Sains Teknol., vol. 1, no. 1, pp. 29–36, 2021.

A. R. Lubis, S. Prayudani, Y. Fatmi, and O. Nugroho, “Classifying News Based on Indonesian News Using LightGBM,” in 2022 International Conference on Computer Engineering, Network, and Intelligent Multimedia (CENIM), IEEE, 2022, pp. 162–166.

N. F. Hasan, R. Hammad, D. E. Profesi, and K. Kusrini, “Sistem Pendukung Keputusan Penentuan Kombinasi Paket Produk Pertanian Menggunakan Algoritma Apriori,” J. Eksplora Inform., vol. 9, no. 1, pp. 38–49, 2019.

O. Nugroho, “Implementation of Marker Based Tracking Method in the Interactive Media of Traditional Clothes Knowledge-Based on Augmented Reality 360,” J. Comput. Sci. Inf. Technol. Telecommun. Eng., vol. 1, no. 2, pp. 37–43, 2020.

N. Indriyani et al., “Pemanfaatan Kotoran Ternak Sebagai Biogas Dan Pupuk Organik Di Desa Klasmelek,” J. Abdimasa Pengabdi. Masy., vol. 5, no. 1, pp. 69–74, 2022.

O. Nugroho and G. A. Hutagalung, “Design and Implementation of Android-Based Public Transport Trayek using Cloud Computing Infrastructure,” Al’adzkiya Int. Comput. Sci. Inf. Technol. J., vol. 1, no. 1, 2020.

H. Sibyan, “Implementasi metode smart pada sistem pendukung keputusan penerima beasiswa sekolah,” J. Penelit. Dan Pengabdi. Kpd. Masy. UNSIQ, vol. 7, no. 1, pp. 78–83, 2020.

S. R. Andani, “Penerapan Metode SMART dalam Pengambilan Keputusan Penerima Beasiswa Yayasan AMIK Tunas Bangsa,” J. Sist. dan Teknol. Inf, vol. 7, no. 3, p. 166, 2019.