Expert System for Selecting Product Packaging Materials as a Means to Achieve Sustainable Development Goals
- DOI
- 10.2991/assehr.k.201010.012How to use a DOI?
- Keywords
- expert system, SDGs, FAHP, ANN
- Abstract
One of the aims of the Sustainable Development Goals (SDGs) that are closely related to the industry is SDGs number 12 which requires responsible consumption and production. Meanwhile, according to data from the Ministry of Environment and Maritime Affairs, the largest contributor to primary plastic production waste is from the packaging industry where 30 % plastic will be thrown out to sea and threaten waters. Some parties have provided various choices alternatives to plastic substitutes, but these alternatives may not be suitable to the wishes of customers and company capability. Therefore, research on the expert systems has conducted the selection of product packaging materials as a means of achieving SDGs. The purpose of this study helps companies to determine the best alternative packaging material to achieve SDGs. In designing the expert system, the study used the Fuzzy Analytical Hierarchy Process (FAHP). The result shows that the best expert system with Artificial Neural Network (ANN) obtained an accuracy of 70.83 %, MSE of 1.2063, and regression amounted to 0.9395. In addition, it was concluded that if the company decides to use paper as product packaging material will cost less than use environmentally friendly plastic.
- Copyright
- © 2020, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Nazula Rukhiana Mukarromah AU - Andrie Pasca Hendradewa AU - Dina Tri Utari PY - 2020 DA - 2020/10/11 TI - Expert System for Selecting Product Packaging Materials as a Means to Achieve Sustainable Development Goals BT - Proceedings of the 2nd International Seminar on Science and Technology (ISSTEC 2019) PB - Atlantis Press SP - 71 EP - 78 SN - 2352-5398 UR - https://doi.org/10.2991/assehr.k.201010.012 DO - 10.2991/assehr.k.201010.012 ID - Mukarromah2020 ER -