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Urfan Taghiyev
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INDONESIA
Journal La Multiapp
Published by Newinera Publisher
ISSN : 27163865     EISSN : 27211290     DOI : https://doi.org/10.37899/journallamultiapp
Core Subject : Engineering,
International Journal La Multiapp peer reviewed, open access Academic and Research Journal which publishes Original Research Articles and Review Article, editorial comments etc in all fields of Engineering, Technology, Applied Sciences including Engineering, Technology, Computer Sciences, Architect, Applied Biology, Applied Chemistry, Applied Physics, Material Engineering, Civil Engineering, Military and Defense Studies, Photography, Cryptography, Electrical Engineering, Electronics, Environment Engineering, Computer Engineering, Software Engineering, Electromechanical Engineering, Transport Engineering, Mining Engineering, Telecommunication Engineering, Aerospace Engineering, Food Science, Geography, Oil & Petroleum Engineering, Biotechnology, Agricultural Engineering, Food Engineering, Material Science, Earth Science, Geophysics, Meteorology, Geology, Health and Sports Sciences, Industrial Engineering, Information and Technology, Social Shaping of Technology, Journalism, Art Study, Artificial Intelligence, and other Applied Sciences.
Articles 2 Documents
Search results for , issue "Vol. 4 No. 3 (2023): Journal La Multiapp" : 2 Documents clear
Automated Chemical Equation Balancing Using the Apriori Algorithm Mohialden, Yasmin Makki; Hussien, Nadia Mahmood; Al-Rada, Walaa A Abd
Journal La Multiapp Vol. 4 No. 3 (2023): Journal La Multiapp
Publisher : Newinera Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37899/journallamultiapp.v4i3.852

Abstract

Chemical equations must be balanced to maintain mass conservation. Traditional chemists employed manual processes with meticulous investigation and trial-and-error iterations. Automating and enhancing this difficult process is becoming more popular as machine learning (ML) progresses. We provide a novel Apriori algorithm-based chemical equation balancing method in this paper. Our solution uses the Apriori algorithm to find common itemsets of balanced reactions and translates unbalanced equations into machine-readable language. After that, it reconstructs balanced equations, automating a tedious task.
Impact of Supply Chain Integration in Enterprise Resource Planning Systems that Affect Company Performance Zalfa, Dhia
Journal La Multiapp Vol. 4 No. 3 (2023): Journal La Multiapp
Publisher : Newinera Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37899/journallamultiapp.v4i3.912

Abstract

PT Sumber Graha Sejahtera, Way Kanan, Lampung often experiences unfulfilled production targets and customer demands. Many customers give complaints because the number of products sent by the company does not match the desired amount. The purpose of this study was to determine the direct effect of the ERP system on company performance, and the indirect effect of the ERP system on company performance mediated by supplier integration, internal integration, and customer integration. This research uses quantitative methods. The population in this study were all employees at PT Sumber Graha Sejahtera, Way Kanan, Lampung, totaling 340 people. The sample size was calculated using the Yamane and Isaac formula which resulted in 184 employees. Samples were taken using purposive sampling technique. The data analysis technique used is Structural Equation Modeling (SEM)-Partial Least Square (PLS). The results of the study show that ERP has a direct, significant effect on firm performance. In addition, ERP has no significant effect on firm performance through supplier integration, internal integration and customer integration. PT Sumber Graha Sejahtera must improve the management of management resources well, increase performance improvement, and build business innovation, so that corporate decision making can be effective for all related parties. With the implementation of good resource planning, the company will no longer receive complaints from customers.

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