Article Per Year (5 Year)
p-Index From 2020 - 2025
0.23
P-Index
This Author published in this journals
All Journal In Search (Informatic, Science, Entrepreneur, Applied Art, Research, Humanism)
Samsari .
Fakultas Teknik, Universitas Sulawesi Barat
Arts Computer Science & IT Economics, Econometrics & Finance Other

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

Found 1 Documents
Search

 1 
Prediksi Produktivitas Kakao Kabupaten Mamuju Dengan Algoritma K-Nearest Neighbor Samsari .; Irfan A. P; Nuralamsah Zulkarnaim
In Search (Informatic, Science, Entrepreneur, Applied Art, Research, Humanism) Vol 19 No 2 (2020): In Search
Publisher : LPPM UNIBI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37278/insearch.v19i2.346

Abstract

This study processes data using the Knowedge Discovery in Database (KDD) process flow. The test sample used was cocoa statistical data in Mamuju district from 2016-2019. The KDD process flow itself consists of data selection, preprocessing, transformation, data mining and evaluation. In the data mining process, determining the pattern of the selected data uses the K-Nearest Neighbor (K-NN) method, while the evaluation uses the Root Mean Square Error (RMSE) method. RMSE is used to measure the level of predictive accuracy of the error value obtained. If the resulting error value is low, it means that the prediction is close to its actual value. The results showed that using the K-NN method can be used to predict cocoa productivity, this is evidenced by the RMSE evaluation of the error value obtained in low districts, with an average error of 6,395.
Co-Authors Irfan A. P Nuralamsah Zulkarnaim