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All Journal International Journal of Educational Research and Social Sciences (IJERSC) Journal Of World Science
Moeins, Anoesyrwan
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Computer Science & IT Economics, Econometrics & Finance Education Engineering Environmental Science Health Professions Law, Crime, Criminology & Criminal Justice Social Sciences Other

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Effect Of The Application Of Information And Communication Technology On Improving Innovation Budi Santoso, Arief; Moeins, Anoesyrwan; Sunaryo, Widodo
Journal of World Science Vol. 1 No. 5 (2022): Journal of World Science
Publisher : Riviera Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58344/jws.v1i5.35

Abstract

This research aims to analyze the influence of the Application of Information and Communication Technology on improving the Asn Innovation of the Central Transportation Ministry. The number of samples in this study was 249 respondents using the slovin technique from all units in the Ministry of Transportation. Data collection is carried out using questionnaires, observations and interviews with related parties. The data analysis technique used is a mix method with multiple linear regression analysis and indicator analysis. The results showed that the variables of Application of Information and Communication Technology positively affected employee innovation at a significance level of 0.05 with a regression coefficient of each of them. There is a positive and significant influence the application of information and communication technology to The Innovative with a regression coefficient (?) of 0.136 and the resulting regression equation is Y ? 115.409 ? 0.136X3 , which means that each one-level increase in the Application of Information and Communication Technology results in an innovative increase of 0.136 at the constant 115,409. Thus, the application of information and communication technology is predicted to increase employee innovation. Based on the results of the determination test calculation, it can be known that the effective contribution (SE) variable of the Application of Information and Communication Technology (X3) to Innovation (Y) is 2.11%.
The Effect of Knowledge Management on Employee Innovation Sunaryo, Widodo; Santoso, Arief Budi; Moeins, Anoesyrwan
Journal of World Science Vol. 1 No. 6 (2022): Journal of World Science
Publisher : Riviera Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58344/jws.v1i6.58

Abstract

This study aims to analyze the effect of Knowledge Management on ASN Employee Innovation of the Ministry of Transportation. The number of samples in this study were 249 respondents using the slovin technique from all units in the Ministry of Transportation. Data was collected using questionnaires, observations and interviews with related parties. The data analysis technique used is the mix method with multiple linear regression analysis and indicator analysis. The results show that the Knowledge management variable partially has a positive effect on Employee Innovation at a significance level of 0.05 with a beta coefficient (?) 0.180 with the resulting regression equation is Y 108.581 0.180X 2 which means that every increase in one level of Knowledge Management will resulted in an increase in Employee Innovation of 0.180 at a constant of 108,581. Thus, knowledge management is predicted to increase employee innovation.
The Effect Of Work Motivation And Knowledge Management On Increasing Innovativeness Budi Santoso , Arief; Moeins, Anoesyrwan; Sunaryo, Widodo
International Journal of Educational Research & Social Sciences Vol. 3 No. 3 (2022): June 2022
Publisher : CV. Inara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51601/ijersc.v3i3.398

Abstract

This study aims to analyze the effect of work motivation and knowledge management on increasing the innovation of ASN at the Central Ministry of Transportation. The number of samples in this study were 249 respondents using the slovin technique from all units in the Ministry of Transportation. Data was collected using questionnaires, observations and interviews with related parties. The data analysis technique used is the mix method with multiple linear regression analysis and indicator analysis.The results showed that the variables of Work Motivation and knowledge management partially and simultaneously had a positive effect on Employee Innovativeness at a significance level of 0.05 with a regression coefficient of respectively.The value of the regression equation is Y 42.013 0.490X1 0.166X 2 , this indicates that an increase in one level of Work Motivation will result in an increase in Innovativeness of 0.528 at a constant 42.013, and each increase in one level of Knowledge Management will result in an increase in Innovativeness 0.132 at a constant 42.013. With an adjusted R-Square value of 0.282, it means that the effect is 28.2%. Thus, strengthening work motivation and knowledge management together with innovation will increase employee innovativeness.
Co-Authors Budi Santoso , Arief Budi Santoso, Arief Santoso, Arief Budi Sunaryo, Widodo