Decision Support System for Selection of Pesticides in Chili Plants Using the MAUT Method

Sukamto Sukamto; Riki Ario Nugroho; Randi Andri Nugrah

doi:10.32736/sisfokom.v12i2.1669

Authors

Sukamto Sukamto Universitas Riau http://orcid.org/0000-0002-1572-6555
Riki Ario Nugroho Universitas Riau
Randi Andri Nugrah Universitas Riau

DOI:

https://doi.org/10.32736/sisfokom.v12i2.1669

Keywords:

Chili Plant, MAUT Method, Pesticides

Abstract

Diseases in chili plants often cause farmers to experience crop failure. Diseases that are often encountered are leaf spot disease, wilt disease, and anthracnose disease caused by fungi. Therefore, farmers are trying to prevent and reduce the disease by using pesticides. The use of pesticides in agriculture plays a role in preventing and reducing diseases in chili plants. Pesticides for chili plants are quite widely spread on the market and have the advantages of each product offered to farmers, so farmers must be more careful and understanding in choosing pesticides to be used in preventing chili plant diseases. For that we need a decision support system (SPK). The purpose of this research is to apply the MAUT method in SPK which can help chili farmers in selecting pesticides. The data used in this study are 10 types of pesticides as an alternative. While the criteria consist of price, classification, number of diseases eradicated, method of action, shelf life, and formulation concentration. Data analysis uses the MAUT method with the steps of forming a decision matrix, normalizing the decision matrix, determining the utility matrix, calculating the final utility, and ranking. The research results obtained for the three best pesticides are Tridex 80 WP, Ziflo 76 WG, and Cabriotop 60 WG.

References

N. Hadinata, “Implementasi Metode Multi Attribute Theory(MAUT) pada Sistem Pendukung Keputusan dalam Menentukan Penerima Kredit,” SISFOKOM (Sistem Inf. dan Komputer), vol. 7, no. 2, pp. 87–92, 2018.

R. Kariman, H. Priyanto, and H. Sastypratiwi, “Implementasi Metode Multi Attribute Utility Theory (MAUT) pada Aplikasi Pemilihan Staf Berprestasi Dinas Pangan Pertanian dan Perikanan Kota Pontianak,” JUSTIN (Jurnal Sist. dan Teknol. Inf. ), vol. 8, no. 2, pp. 212–217, 2020, doi: 10.26418/justin.v8i2.38234.

M. I. Nasution, A. Fadlil, and Sunardi, “Perbandingan Metode SMART dan MAUT untuk Pemilihan Karyawan pada Merapi Online Corporation,” JTIIK (Jurnal Teknol. Inf. dan Ilmu Komputer), vol. 8, no. 6, pp. 1205–1214, 2021, doi: 10.25126/jtiik.2021863583.

F. El Khair, S. Defit, and Y. Yuhandri, “Sistem Keputusan dengan Metode Multi Attribute Utility Theory dalam Penilaian Kinerja Pegawai,” J. Inf. dan Teknol., vol. 3, no. 4, pp. 215–220, 2021, doi: 10.37034/jidt.v3i4.155.

E. Satria, N. Atina, M. E. Simbolon, and A. P. Windarto, “SPK: Algoritma Multi-Attribute Utility Theory (MAUT) pada Destinasi Tujuan Wisata Lokal di Kota Sidamanik,” CESS (Computer Eng. Syst. Sci., vol. 3, no. 2, pp. 168–172, 2018, doi: 10.24114/cess.v3i2.9954.

Ramadiani, H. R. Hatta, N. Novita, and Azainil, “Comparison of Two methods Between TOPSIS and MAUT in Determining BIDIKMISI Scholarship,” ICIC (International Conf. Informatics Comput., vol., no., p., 2018, doi: 10.1109/IAC.2018.8780455.

W. Apriani, “Sistem Pendukung Keputusan Pemilihan Pimpinan dengan MetodeMulti Attribute Utility Theory(MAUT) di PT.Sagami Indonesia,” J. Mantik, vol. 3, no. 2, pp. 10–19, 2019, [Online]. Available: https://iocscience.org/ejournal/index.php/mantik/index

T. Imandasari, A. P. Windarto, and D. Hartama, “Analisis Metode MAUT pada Pemilihan Deodorant,” SAINTEKS (Seminar Nas. Teknol. Komput. Sains), vol., no., pp. 736–739, 2019, [Online]. Available: https://seminar-id.com/semnas-sainteks2019.html

T. Limbong and J. Simarmata, “Menentukan Matakuliah yang Efektif Belajar Daring (Belajar dan Ujian) dengan Metode Multi-Attribute Utility Theory (MAUT),” J. RESTI (Rekayasa Sist. dan Teknol. Informasi), vol. 4, no. 2, pp. 370–376, 2020, doi: 10.29207/resti.v4i2.1851.

A. Adam, A. Fuad, H. Kurniadi Siradjuddin, and S. N Kapita, “Sistem Pendukung Keputusan Pemilihan Dosen Berprestasi Di Universitas Khairun Ternate Menggunakan Metode Multi- Attribute Utility Theory,” JIKO (Jurnal Inform. dan Komputer), vol. 3, no. 3, pp. 166–172, 2020, doi: 10.33387/jiko.v3i3.2246.

A. A. Kusuma, Z. M. Arini, U. Hasanah, and Mesran, “Analisa Penerapan Metode Multi Attribute Utility Theory (MAUT) dengan Pembobotan Rank Order Centroid (ROC) Dalam Pemilihan Lokasi Strategis Coffeshop Milenial di Era New Normal,” J. Sist. Komput. dan Inform., vol. 3, no. 2, pp. 51–59, 2021, doi: 10.30865/json.v3i2.3575.

Sukamto, Y. Andriyani, and I. D. Id, “Aplikasi Metode VIKOR untuk Menentukan Penerimaan Proposal Kegiatan Desa,” Komput. Terap., vol. 8, no. 2, pp. 336–345, 2022.

Sukamto, I. D. Id, and A. D. Jukris, “Penerapan Metode TOPSIS untuk Menentukan Kelayakan Perpustakaan Sekolah Diakreditasi,” SISFOKOM (Sistem Inf. dan Komputer), vol. 12, no. 1, pp. 24–29, 2023.

Y. Setiawan and S. Budilaksono, “Sistem Pendukung Keputusan Pemilihan Mahasiswa Lulusan Terbaik dengan Menggunakan Metode Multi Attribute Utility Theory (MAUT) di STMIK Antar Bangsa,” Ikraith-Informatika, vol. 6, no. 2, pp. 12–20, 2022, doi: 10.37817/ikraith-informatika.v6i2.1566.

D. H. Ramadan, M. R. Siregar, and S. Ramadan, “Penerapan Metode MAUT dalam Penentuan Kelayakan TKI dengan Pembobotan ROC,” J. Media Inform. Budidarma, vol. 6, no. 3, pp. 1789–1795, 2022, doi: 10.30865/mib.v6i3.4441.

Y. A. Situmorang, N. Dalimunthe, I. Parlina, and M. R. Lubis, “Penerapan Metode MAUT pada Pemilihan Bimbingan Intensif Terbaik di Pematangsiantar,” KOMIK (Konferensi Nas. Teknol. Inf. dan Komputer), vol. 2, no. 1, pp. 249–255, 2018, doi: 10.30865/komik.v2i1.934.

Elviani, E. Haerani, E. P. Cynthia, F. Kurnia, and F. Syafira, “Sistem Pendukung Keputusan Penilaian Kinerja Guru Menggunakan Metode Multi Attribute Utility Theory (MAUT),” JIPI (Jurnal Ilm. Penelit. dan Pembelajaran Inform., vol. 7, no. 3, pp. 993–1004, 2022, doi: 10.55606/jitek.v2i3.545.

J. H. Lubis, S. Esabella, M. Mesran, D. Desyanti, and D. M. Simanjuntak, “Penerapan Metode Multi Attribute Utility Theory (MAUT) dalam Pemilihan Karyawan yang di Non-Aktifkan di Masa Pandemi,” J. Media Inform. Budidarma, vol. 6, no. 2, pp. 969–978, 2022, doi: 10.30865/mib.v6i2.3909.

Sunardi, R. Umar, and D. Sahara, “Best Employee Decision Using Multi Attribute Utility Theory Method,” J. RESTI (Rekayasa Sist. dan Teknol. Informasi), vol. 6, no. 6, pp. 945–951, 2022, doi: 10.29207/resti.v6i6.4318.

M. M. Boangmanalu, Mesran, and B. Purba, “Implementasi Metode MAUT dalam Seleksi Calon Marketing Retail dengan menerapkan pembobotan ROC,” J. Ilm. Media SISFO, vol. 16, no. 2, pp. 81–91, 2022, doi: 10.33998/mediasisfo.2022.16.2.1264.