Decision Support System by using Multiple Attribute Decision making with Simple Additive Weighting Method (Madm-Saw) Method in Selecting the Best Bromelain

Authors

  • Ririn Fatma Nanda Nahdlatul Ulama University of Indonesia
  • Anwar Kasim Andalas University
  • Rini Rini Andalas University
  • Daimon Syukri Andalas University
  • Muhammad Arwani Nahdlatul Ulama University of Indonesia

DOI:

https://doi.org/10.25077/aijans.v3.i02.114-119.2022

Keywords:

Bromelain, pineapple storage, MADM-SAW

Abstract

Bromelain is a protease enzyme obtained from pineapple. In choosing bromelain only pay attention to its chemical analysis and there is no rank yet. Therefore, research has been carried out in making the best bromelain decision using the Multiple Attribute Decision Making with Simple Additive Weighting Method (MADM-SAW) method based on the shelf life of pineapples. The basic concept of this method is to find the weighted sum of the performance branches for each alternative (treatment) of all attributes so that the best alternative will be obtained in the selection of crude bromelain enzymes based on pineapple storage. The results showed that the best pineapple fruit was with storage of day 0 as rank 1, with a total value was 0.9025.

 

Downloads

Download data is not yet available.

References

A. N. Putra et al., “Pineapple biomass estimation using unmanned aerial vehicle in various forcing stage: Vegetation index approach from ultra-high-resolution image,” Smart Agric. Technol., vol. 1, no. 1, p. 100025, 2021, doi: 10.1016/j.atech.2021.100025.

B. Prasetiyo and A. R. Suryani, “Metode SAW (Simple Additive Weighting) dalam Pengambilan Keputusan Pemilihan Strategi Pemasaran Industri Tekstil,” Semin. Nas. Ilmu Komput., no. Snik, pp. 379–382, 2016.

C. Surya, “Sistem Pendukung Keputusan Rekomendasi Penerima Beasiswa Menggunakan Fuzzy Multi Attribut Decision Making (FMADM) dan Simple Additive Weighting (SAW),” J. Rekayasa Elektr., vol. 11, no. 4, p. 149, 2015, doi: 10.17529/jre.v11i4.2364.

H. M. Maher, A. Almomen, N. Z. Alzoman, S. M. Shehata, and A. A. Alanazi, “Development and validation of UPLC–MS/MS method for the simultaneous quantification of anaplastic lymphoma kinase inhibitors, alectinib, ceritinib, and crizotinib in Wistar rat plasma with application to bromelain-induced pharmacokinetic interaction,” J. Pharm. Biomed. Anal., vol. 204, p. 114276, 2021, doi: 10.1016/j.jpba.2021.114276.

I. Widaningrum, “Evaluasi Kinerja Dosen Menggunakan Metode Fuzzy Multi-Attribute Decision Making ( Fmadm ) Dengan Pengembangan ( Studi Kasus?: Universitas Muhammadiyah Ponorogo ),” Semin. Nas. Teknol. Inf. dan Multimed. 2013 STMIK AMIKOM. Yogyakarta, pp. 61–66, 2013.

L. Zhou et al., “Developing single nucleotide polymorphism markers for the identification of pineapple (Ananas comosus) germplasm,” Hortic. Res., vol. 2, no. September, pp. 1–12, 2015, doi: 10.1038/hortres.2015.56.

Lismardiana, “Fuzzy Multi-Atribute Decision Making (Fuzzy Madm) Dengan Metode Saw Dalam Penentuan Lulusan Mahasiswa Berprestasi,” J. Teknol. Inf. Dan Komun., vol. 7, no. 1, pp. 37–46, 2018.

P. E. Wiranthi and F. Mubarok, “Competitiveness and the Factors Affecting Export of the Indonesia Canned Pineapple in the World and the Destination Countries,” KnE Life Sci., vol. 2, no. 6, p. 339, 2017, doi: 10.18502/kls.v2i6.1056.

R. F. Nanda, Rini, B, D. Syukri, N. N. Anh Thu, “A Review: Application of Bromelain Enzymes In Animal Food Products,” And. Int. J. Agric. Nat. Sci, vol. 1, no. 1, pp. 18–24, 2020, [Online]. Available: http://aijans.lppm.unand.ac.id/index.php/aijans/article/view/6/5.

S. Abbas, T. Shanbhag, and A. Kothare, “Applications of bromelain from pineapple waste towards acne,” Saudi J. Biol. Sci., vol. 28, no. 1, pp. 1001–1009, 2021, doi: 10.1016/j.sjbs.2020.11.032.

Downloads

Published

2023-09-06

How to Cite

Nanda, R. F., Kasim, A., Rini, R., Syukri, D., & Arwani, M. (2023). Decision Support System by using Multiple Attribute Decision making with Simple Additive Weighting Method (Madm-Saw) Method in Selecting the Best Bromelain. Andalasian International Journal of Agriculture and Natural Sciences (AIJANS), 3(02), 190-195. https://doi.org/10.25077/aijans.v3.i02.114-119.2022

Most read articles by the same author(s)

<< < 1 2