Article Per Year (5 Year)
p-Index From 2020 - 2025
0.408
P-Index
This Author published in this journals
All Journal Jurnal Teknik Informatika UNIKA Santo Thomas Jurnal Teknik Informatika Unika Santo Thomas (JTIUST)
Rezel Purba, Doni El
Unknown Affiliation
Computer Science & IT Decision Sciences, Operations Research & Management

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

 1 
Penerapan Algoritma Bayes Terhadap Pengguna Sosial Media yang Ketergantungan Matondang, Zekson Arizona; Rezel Purba, Doni El
Jurnal Teknik Informatika UNIKA Santo Thomas Vol 6 No. 2 : Tahun 2021
Publisher : LPPM UNIKA Santo Thomas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54367/jtiust.v6i2.1590

Abstract

The Bayes method is a method for generating parameter estimates by combining information from the sample and other previously available information. The Bayes approach to statistical estimation methods combines the information contained in the sample with other previously available information. The Bayesian technique uses the initial distribution together with the evidence contained by the sample to calculate the posterior distribution for the parameter . Conclusions regarding the next parameter are based on the posterior distribution and the parameters in this sample are social media dependent parameters
Penerapan Algoritma Bayes Terhadap Pengguna Sosial Media yang Ketergantungan Matondang, Zekson Arizona; Rezel Purba, Doni El
Jurnal Teknik Informatika UNIKA Santo Thomas Vol 6 No. 2 : Tahun 2021
Publisher : LPPM UNIKA Santo Thomas

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (197.842 KB) | DOI: 10.54367/jtiust.v6i2.1590

Abstract

The Bayes method is a method for generating parameter estimates by combining information from the sample and other previously available information. The Bayes approach to statistical estimation methods combines the information contained in the sample with other previously available information. The Bayesian technique uses the initial distribution together with the evidence contained by the sample to calculate the posterior distribution for the parameter . Conclusions regarding the next parameter are based on the posterior distribution and the parameters in this sample are social media dependent parameters
Co-Authors Matondang, Zekson Arizona