International Journal of Computer Networks and Communications Security

Volume 8, Issue 2, February 2020

 

 

The Development of Trend Analysis of Scoring for Good Corporate Governance based on the Decree of the Ministry of State Owned Enterprises
 

The Development of Trend Analysis of Scoring for Good Corporate Governance based on the Decree of the Ministry of State Owned Enterprises
Pages: 10-16 (7) | [Full Text] PDF (472 KB)
DI Purnamasari, HKS Negara
Universitas Pembangunan Nasional Veteran Yogyakarta – Indonesia

https://doi.org/10.47277/IJCNCS/8(2)1


Abstract - The aims of this research is to evaluate the development of Trend Analysis of Good Corporate Governance Scoring based on the Decree of the Ministry of State Owned Enterprises Number SK-16/S.MBU/2012 in SOEs that went public in the next period of the earlier study in 2012, i.e. 2013-2018 (the latest financial statement at the moment). In this study we employed a population sample of SOEs in banking sector that are listed in BEI for the period 2012-2018. Therefore, this period of study is expected to reflect the actual condition on a more consistent basis from year to year. Publicly traded SOEs are selected because every company that has made public offering is required to publish its annual report in order to make its Annual Report more accessible. We can conclude that the development of scoring for Good Corporate Governance—based on the Decree of the Ministry of State Owned Enterprises Number SK-16/S.MBU/2012 in State Owned Banks that went public in the period 2013-2018—follows an upward trend that put them into the Excellent category.
 
Index Terms - Corporate Governance, Banking, Trend Analysis, Scoring, Financial Statement

Citation - DI Purnamasari, HKS Negara. "The Development of Trend Analysis of Scoring for Good Corporate Governance based on the Decree of the Ministry of State Owned Enterprises." International Journal of Computer Networks and Communications Security 8, no. 2 (2020): 10-16.
A Novel Hybrid Dragonfly Algorithm with Modified Conjugate Gradient Method
 

A Novel Hybrid Dragonfly Algorithm with Modified Conjugate Gradient Method
Pages: 17-25 (9) | [Full Text] PDF (901 KB)
LR Khaleel, BA Mitras
M.sc. Student, Department of mathematics, college of computer sciences & mathematics, Mosul University
Prof. Dr. Department of mathematics, college of computer sciences & mathematics, Mosul University

https://doi.org/10.47277/IJCNCS/8(2)2


Abstract - Dragonfly Algorithm (DA) is a meta-heuristic algorithm, It is a new algorithm proposed by Mirjalili in (2015) and it simulate the behavior of dragonflies in their search for food and migration. In this paper, a modified conjugate gradient algorithm is proposed by deriving new conjugate coefficient. The sufficient descent and the global convergence properties for the proposed algorithm are proved. Novel hybrid algorithm of the dragonfly (DA) was proposed with modified conjugate gradient Algorithm which develops the elementary society that is randomly generated as the primary society for the dragonfly optimization algorithm using the characteristics of the modified conjugate gradient algorithm. The efficiency of the hybrid algorithm was measured by applying it to (10) of the optimization functions of high measurement with different dimensions and the results of the hybrid algorithm were very good in comparison with the original algorithm.
 
Index Terms - Conjugate Gradient Methods, Meta-Heuristic Algorithms, Dragonfly Optimization Algorithm

Citation - LR Khaleel, BA Mitras. "A Novel Hybrid Dragonfly Algorithm with Modified Conjugate Gradient Method." International Journal of Computer Networks and Communications Security 8, no. 2 (2020): 17-25.