Article Per Year (5 Year)
p-Index From 2021 - 2026
0.23
P-Index
This Author published in this journals
All Journal BIOS : Jurnal Teknologi Informasi dan Rekayasa Komputer
Dwi Sri Anggun
Universitas Muhammadiyah Jember
Computer Science & IT

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

Found 1 Documents
Search

 1 
Klasifikasi Kualitas Tembakau Layak Panen dengan Naïve Bayes Classifier Dwi Sri Anggun
BIOS : Jurnal Teknologi Informasi dan Rekayasa Komputer Vol 3 No 2 (2022): September
Publisher : Puslitbang Sinergis Asa Professional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37148/bios.v3i2.47

Abstract

Tobacco quality has an important role in determining the quality of cigarette production. One of the stages in postharvest tobacco that needs attention is sorting, where this process is carried out by graders. Sometimes a grader is less accurate in determining the quality of tobacco, the human error factor is usually the main cause. In this research, a classification model using the Naïve Bayes method will be made to help determine the quality of tobacco. From the results of research that has been carried out the level of accuracy between the information requested by the user and the answer given by the system (Precision) is 86%, the success rate of the system in retrieving an information (recall) is 68% and the level of closeness between the predicted value and the actual value. reach (accuracy) 67%.
Co-Authors