Herlina Herlina
Universitas La Tansa Mashiro

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The Influence Of Regional Financial Management Information System, The Role Of Internal Auditors And Human Resources Competence On The Quality Of Financial Statements Of Lebak Regency Government Susana Dewi; Firmansyah Firmansyah; Herlina Herlina; Sri Intan Purnama; Anatasya Mawardiah
Oikonomia : Journal of Management Economics and Accounting Vol. 2 No. 1 (2024): Oikonomia-December
Publisher : PT. Hafasy Dwi Nawasena

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61942/oikonomia.v2i1.328

Abstract

The Effect of Regional Financial Management Information Systems, the Role of Internal Auditors and Human Resource Competencies on the Quality of Lebak Regency Government Financial Statements. The purpose of this study was to examine the effect of the Regional Financial Management Information System, the Role of the Internal Auditor, and the Competence of Human Resources on the Quality of the Lebak Regency Government Financial Statements. This research uses quantitative research methods. Data obtained from primary data, namely through distributing questionnaires. This research sample was conducted at 32 OPDs in Lebak Regency. With the sample retrieval method is purposive sampling. The research respondents were PPK- SKPD (Financial Administration officer - Regional Work Unit), Treasurer and SIPKD Operator. The data processing tool used in this study used SPSS version 25 using multiple linear regression analysis techniques. The results of this study indicate that partially the Regional Financial Management Information System and the Role of the Internal Auditor have a positive and significant effect on the Quality of Financial Statements. While the Competence of Human Resources has no significant effect on the Quality of Financial Statements. And simultaneously the variables of the Regional Financial Management Information System, the Role of the Internal Auditor and Human Resource Competencies have a positive and significant effect on the Quality of Financial Statements of the Lebak Regency Government
The Influence Of Regional Financial Management Information System, The Role Of Internal Auditors And Human Resources Competence On The Quality Of Financial Statements Of Lebak Regency Government Susana Dewi; Firmansyah Firmansyah; Herlina Herlina; Sri Intan Purnama; Anatasya Mawardiah
Nomico Vol. 1 No. 11 (2024): Nomico-December
Publisher : PT. Anagata Sembagi Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62872/aembsc66

Abstract

The Effect of Regional Financial Management Information Systems, the Role of Internal Auditors and Human Resource Competencies on the Quality of Lebak Regency Government Financial Statements. The purpose of this study was to examine the effect of the Regional Financial Management Information System, the Role of the Internal Auditor, and the Competence of Human Resources on the Quality of the Lebak Regency Government Financial Statements. This research uses quantitative research methods. Data obtained from primary data, namely through distributing questionnaires. This research sample was conducted at 32 OPDs in Lebak Regency. With the sample retrieval method is purposive sampling. The research respondents were PPK-SKPD (Financial Administration officer - Regional Work Unit), Treasurer and SIPKD Operator. The data processing tool used in this study used SPSS version 25 using multiple linear regression analysis techniques. The results of this study indicate that partially the Regional Financial Management Information System and the Role of the Internal Auditor have a positive and significant effect on the Quality of Financial Statements. While the Competence of Human Resources has no significant effect on the Quality of Financial Statements. And simultaneously the variables of the Regional Financial Management Information System, the Role of the Internal Auditor and Human Resource Competencies have a positive and significant effect on the Quality of Financial Statements of the Lebak Regency Government.
The Impact of Artificial Intelligence on Investment Decision-Making Dini Arifian; Siti Mudawanah; Herlina Herlina; Ana Ima Sofana
Islamic Studies in the World Vol. 1 No. 2 (2024)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/isw.v1i2.1522

Abstract

Background. The increasing integration of artificial intelligence (AI) in finance is reshaping investment decision-making, as AI provides tools for analyzing large datasets, forecasting trends, and automating trading processes. This shift toward AI-driven insights aims to enhance decision accuracy and reduce human error, ultimately transforming traditional investment practices. Purpose. This study investigates the impact of AI on investment decision-making, focusing on how AI algorithms influence investor behavior, market forecasting, and risk management. The objective is to assess whether AI-driven models improve decision quality and identify any limitations in their application. Method. A mixed-method research approach was employed, combining quantitative analysis of AI model performance with qualitative insights from industry professionals. Machine learning algorithms were used to analyze historical investment data and predict market trends, while interviews with investment managers provided perspectives on the practical benefits and challenges of AI in financial decision-making. Results. Results indicate that AI algorithms can improve predictive accuracy by up to 90%, with reduced response times in volatile markets. However, reliance on AI models also introduces risks, including over-reliance on algorithmic predictions and potential biases in data. Conclusion. The study concludes that while AI significantly enhances investment decision-making through improved forecasting and efficiency, its limitations necessitate careful oversight. Implementing AI in investment requires a balanced approach, combining human expertise with algorithmic insights to optimize decision outcomes. The findings underscore the potential for AI to support investment strategies while highlighting the need for ethical and transparent AI applications.