Article Per Year (5 Year)
p-Index From 2020 - 2025
0.23
P-Index
This Author published in this journals
All Journal International Journal of Artificial Intelligence and Robotic Technology (IJAIRTec)
Krisna Dwi Saputra
Unknown Affiliation
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering

Published : 1 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search

 1 
DECISION SUPPORT SYSTEM TO DETERMINE BLACK PEPPER GRAIN QUALITY IN PEKON DETERMINATION USING SIMPLE ADDITIVE WEIGHTED Krisna Dwi Saputra
International Journal of Artificial Intelligence and Robotic Technology (IJAIRTec) Vol. 1 No. 1 (2021): International Journal of Artificial Intelligence and Robotic Technology (IJAIRT
Publisher : International Journal of Artificial Intelligence and Robotic Technology (IJAIRTec)

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Pepper is one commodity exports from Indonesia. Black pepper seed quality for export include some criteria predetermined. However, in determining the quality of black pepper seeds is often constrained this is still a lack of public knowledge about the quality of black mustard seeds. Problem that makes researchers want to create a system that can help the decision support pepper farmers in determining the quality of black pepper seeds. In making the Decision Support System was built taking several criteria such as water content, seed weight, levels of foreign body, and the fruit skin color. The system was built using Simple Additive Weighted method. The existence of Decision Support System to help farmers in determining the quality of the seeds of black pepper quickly and accurately by incorporating the criteria found in the field into the system, and the calculation of SAW result that varieties Petaling 2 is a quality black pepper highest with a value of 1
Co-Authors