Claim Missing Document
Check
Articles

Found 2 Documents
Search
Journal : Journal of Artificial Intelligence and Engineering Applications (JAIEA)

The Grouping Of Types Of Tax Revenue In Binjai City Uses The K-Means Clustering Method Algorithm Anita Renni Arianti; Novriyenni Novriyenni; Indah Ambarita
Journal of Artificial Intelligence and Engineering Applications (JAIEA) Vol. 3 No. 1 (2023): October 2023
Publisher : Yayasan Kita Menulis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59934/jaiea.v3i1.286

Abstract

Taxes are a major source of state revenue. Without taxes, most activities of the country are difficult to implement. The use of tax money includes ranging from employee shopping to financing various development projects. Public utilities such as roads, Bridges, schools, hospitals/center facilities, police stations are financed with tax returns. Tax money is also used for financing to provide a sense of security for all levels of society. Every citizen from birth to death enjoys facilities or government services all funded with tax money.
Correlation Between Technological Advances On Employee Performance Using A PRIORI Method (Case Study: PLN City of Binjai) Alya Fadillah; A M H Pardede; Indah Ambarita
Journal of Artificial Intelligence and Engineering Applications (JAIEA) Vol. 3 No. 1 (2023): October 2023
Publisher : Yayasan Kita Menulis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59934/jaiea.v3i1.304

Abstract

Technology is a set of tools that can be used or utilized by humans to facilitate various forms of work. Employee performance is the ability to achieve job requirements, where a work target can be completed in a timely manner or does not exceed the time limit provided so that the goal will be in accordance with company morals and ethics. This study aims to determine the correlation of technological progress on employee performance. In this study using RapidMiner as a test of 230 data on employees of PLN Binjai City. By using the Apriori algorithm method with a minimum support value of 10% and confidence of 50%, 44 association rules are obtained in the entire set and there are 2 rules in 4 itemsets. From the test results, the best rule with the highest value is obtained, namely if the data is T7, A3, F7 then SB, which means if using Ms.Word and Ms.Excel and Ms.PPT, using FSO Mobile and PLN Mobile, using Computers and Printers and Fax Machines then employee performance is Very Good with a support value of 30% and a confidence value of 96%.