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Analysis of Return on Asset, Return on Equity and Earnings Per Share on Stock Prices in Banking Sector Companies in 2019-2023 Imeliyanti, Eka; Indrawati, Dwi Rizqiani; Anwar, Moh Nuril; winanti, winanti; Goestjahjanti, Francisca Sestri; Sopyan, Dedi; Hasna, Shoftwatun; Singgih, Eman; Farhan, Akhmad
Journal of E-business and Management Science Vol. 2 No. 1 (2024): Juni 2024
Publisher : PT. BERBAGI TEKNOLOGI SEMESTA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61098/jems.v2i1.153

Abstract

The investment trend in Indonesia is starting to increase, making many people want to try to start investing, but if this desire is not based on understanding it will lead to high risks. This research aims to determine the factors that can influence the movement of share prices, especially fundamental analysis, namely analysing financial reports to determine the financial performance of companies in the banking sector that have high market capitalization in Indonesia. By measuring Return on Assets (ROA), Return on Equity (ROE) and Earning Per Share (EPS), whether the variables in this research influence stock market prices. By using SPSS to process data and produce conclusions. Based on the results of this research, it is stated that the variables X1 (ROA) and X3 (EPS) have a partially significant effect on share prices, in contrast to the variable So, prospective investors who want to start investing should look at the company's financial reports first, especially analysing the assets, net profit and profits generated by the company
The Effect of Employee Technical Skills and Employee Soft Skill Abilities on Training Programs and Mediated on Employee Performance putri, RDN DWI PUTRIANI; Mulyati, Sri; Jonathan, Tiardo; Sestri Goestjahjanti, Francisca; Winanti, Winanti; Mendrofa, Yeremia; Farhan, Akhmad; Purno, Marhaendro; Mirda Santi, Neta; Kulla Himmy’azz, Istajib; Tiara, Beby
International Journal of Innovation Research in Education, Technology and Management Vol. 1 No. 2 (2024): Agustus 2024
Publisher : PT. BERBAGI TEKNOLOGI SEMESTA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61098/ijiretm.v1i2.170

Abstract

There are still many technical skills, soft skills abilities and training programs that are low and below average standards can affect employee performance. This study aims to determine the effect of technical skills, soft skills abilities and training programs as intervening variables on employee performance. The population in this study were 787 employees with age criteria 18 - 50 years. The sample used was 89 people. The type of research used is associative. The research method of quantitative analysis consisting of the training program variable is able to mediate employee technical skills on employee performance with a value of 2,400 with a significance level of 0.019 <0.05, so it has a significant effect. Variable The training program is able to mediate the ability of employee soft skills on productivity with a value The magnitude of the indirect effect of employee technical skills (X1) on the training program (Y) is 0. 315 with a significance value of 0.008 <0.05 and the training program (Y) on employee performance (Z) is 0.313 with a significance value of 0.004 <0.05. then the magnitude of the indirect effect is 0.315 x 0.313 = 0.0985. the magnitude of the total effect is equal to = 2.935 + (0.315 x 0.313) = 3.0335. The training program variable is able to mediate the ability of employee soft skills on employee performance with a value of 2.415 with a significance level of 0.018 <0.05, it can be concluded that it has an effect. The magnitude of the indirect effect of employee soft skills (X2) on the training program (Y) is 0.566 with a significance value of 0.000 <0.05 and the training program (Y) on employee performance (Z) is 0.313 with a significance value of 0.004 <0.05. then the magnitude of the indirect effect is 0.566 x 0.313 = 0.07358. the magnitude of the total effect is equal to = 2.935 + (0.566 x 0.313) = 3.00858.
The Influence of Transformational Leadership on Employee Performance: An Emotional Intelligence-Based Approach Nofiyanti, Nofiyanti; Farhan, Akhmad; Fajrin, Andira; Purwanto, Agus; Kulla Himmy Azz, Istajib; Mintari, Nia
Journal of Industrial Engineering & Management Research Vol. 6 No. 4 (2025): August 2025
Publisher : AGUSPATI Research Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.7777/jiemar.v6i4.598

Abstract

This study aims to analyze the influence of transformational leadership on employee performance by considering the role of emotional intelligence as a moderating variable. Transformational leadership style, which includes ideal influence, inspirational motivation, intellectual stimulation, and individual attention, is considered capable of encouraging motivation and work productivity. Meanwhile, emotional intelligence plays a crucial role in fostering harmonious interpersonal relationships and creating a conducive work environment. This study employs a quantitative approach through a survey using a questionnaire administered to 110 respondents from the public sector in East Java, as well as additional samples from the education and Islamic finance sectors. Multiple linear regression analysis shows that transformational leadership has a positive and significant effect on employee performance (β = 0.536; p < 0.01). The moderation test reveals that emotional intelligence strengthens this relationship (β = 0.289; p < 0.05). These findings are reinforced by results from other sectors showing similar effects. The study concludes that the combination of transformational leadership and emotional intelligence synergistically enhances employee performance, loyalty, and job satisfaction. The practical implications of this research emphasize the need for leadership training that not only focuses on managerial skills but also on developing emotional intelligence as a strategy for sustaining organizational effectiveness.
THE INNOVATION ENGINE: HOW AI IS RESHAPING BUSINESS MODELS AND ORGANIZATIONAL EFFICIENCY Nofiyanti, Nofiyanti; Winanti, Winanti; Fajrin, Andira; Aks, Safriadi M. Yunus; Farhan, Akhmad; Kamar, Karnawi; Himmy Azz, Istajib Kulla; Asbari, Masduki
JUBISMA Vol 7 No 2 (2025): Jurnal Bisnis Manajemen dan Akuntansi
Publisher : LPPM UNIVERSITAS INSAN PEMBANGUNAN INDONESIA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58217/jubisma.v7i2.214

Abstract

Today's digital transformation is heavily influenced by the presence of artificial intelligence (AI), which significantly changes the way businesses run while improving organizational efficiency. This research explores the utilization of AI in various industries, as well as the extent to which AI plays a role in driving business model innovation and improving company operational performance. By combining several approaches, this research systematically reviews scholarly articles from 2019 to 2024 as well as related digital book literature. The results show that AI has three main roles. First, it improves organizational efficiency through automation, smarter data processing, and cost savings. Second, driving business model change through service personalization, demand prediction, and integration with digital platforms. Third, it accelerates organizational learning in the process of business innovation. In addition to the technological and economic benefits, the study also highlights the importance of ethical aspects and participation in the application of AI, in order to minimize risks such as algorithm bias and potential decline in public trust. In conclusion, AI is not just a technological tool, but a strategic piece that can reshape organizational structures and business patterns. To effectively implement AI, organizations need to build digital capabilities, cultivate learning, and implement responsible governance.