Eko Afrianto, Eko and Ferry Wiranto, Ferry and iqbal, sabilirrasyad (2023) Decision Support System Selection of Land Suitable for Coffee Types Using the SMART Method (Case Study of the Jember Cocoa Coffee Research Center). Jurnal Sistem Informasi Cerdas (INSIDE), 1 (1). pp. 16-26. ISSN 3031-4860

[img] Text (Turnitin - Decision Support System Selection of Land Suitable for Coffee Types Using the Smart Method (Case Study of the Jember Cocoa Coffee Research Center))
Decision Support System Selection of Land Suitable for Coffee Types Using the SMART Method (Case Study of the Jember Cocoa Coffee Research Center) (1).pdf

Download (3MB)

Abstract

Coffee is one of Indonesia's mainstays in economic matters, coffee cultivation in Indonesia will produce 774.60 thousand tons of coffee in 2021. This means that this could be a lucrative opportunity. Not only that, the existence of coffee shops also began to be popular in many areas. The majority of these coffee shops utilize local farmers' products. Decision Support Systems are part of a computer-based (including knowledge-based) information system that is used to support decision-making within an organization or company. DSS can also be regarded as a computer system that processes data into information in making decisions on specific semi-structured problems. Decision support systems aim to provide information, guide, provide predictions, and direct solution options to users of information so they can make better decisions. the purpose of the research conducted is to develop a decision support system using the Simple Multi Attribute Rating Technique (SMART) method to determine the right coffee area and according to the time of planting at Jember Cocoa Coffee Research Center. The system successful performance of the features in the system, admin and user can use a decision support system for selecting coffee grounds according to their type.

Item Type: Article
Subjects: T Technology > T Technology (General)
Divisions: STI-S1
Depositing User: Eko Afrianto
Date Deposited: 19 Jan 2024 10:10
Last Modified: 19 Jan 2024 10:10
URI: http://repo.itsm.ac.id/id/eprint/1173

Actions (login required)

View Item View Item