This study aims to examine the factors that affect firm value. This research uses purposive sampling method. The sample of the research is 45 financial companies (128 year-firm observations) listed in Indonesia Stock Exchange for the period of 2017-2019. Multiple regression analysis with unbalanced panel data was applied to analyze the data. A corporate governance index published by Globe and Mail with 4 sub-indices is adopted, namely board composition, shareholding and compensation policies, shareholder rights and disclosure. The results of this study indicate that good corporate governance and research & development investment have no effect on firm value. This explains that the implementation of good corporate governance and firm investment in research & development are not the main information for investors in making investments. However, intellectual capital and enterprise risk management disclosure have effect on firm value. The results can be used as a reference for researchers, especially in the accounting sector related to the development of measuring instruments for good corporate governance.
Introduction: This study examines the effect of government ownership, foreign ownership, managerial ownership, and institutional ownership on Financial Performance with Corporate Governance as moderating BUMN companies Post Privatization in 2015-2019. In this study, the data used is panel data. Panel data is a combination of time series and cross-section. Methods: The data analysis method used is multiple linear regression using the SPSS Version 26 application, in accordance with the research objectives, the type of research used in this study is hypothesis testing research. This research is causal. Results: The results show that Government Ownership, Foreign Ownership, Managerial Ownership, and Institutional Ownership affect Financial Performance. Conclusion: The size of the board of commissioners has no impact on financial performance. The size of the board of commissioners moderates the predictor of the effect of government ownership on economic performance because the size of the board of commissioners has no impact on financial performance (p?0.05). The size of the Board of Commissioners moderates the predictor of the influence of Foreign Ownership on Financial Performance because the size of the board of commissioners does not affect financial performance. The size of the board of commissioners moderates the effect of managerial ownership on economic performance because the size of the board of commissioners has no impact on financial performance, and the size of the board of commissioners moderates the effect of institutional ownership on economic performance because the size of the board of commissioners has no impact on financial performance (p>0.05).
Penelitian ini bertujuan untukmengetahui dan menganalisis bahwa perilaku individu, kelembagaan pemerintah daerah, penerapan perundang-undangan serta pengawasan mempengaruhi terjadinya perilaku korupsi di SKPD Kota Banda Aceh.Data yang digunakan adalah data primer berupa persepsi responden pada SKPD di Kota Banda.Penelitian ini adalah kualitatif, yang menjadi objek penelitian ini adalah 27SKPD di Kota Banda Aceh.Metode analisis yang digunakan adalah regresi linear, Data diolah dengan menggunakan program Softwere Statistic Product and Service Solution (SPSS versi 22).Hasil penelitian ini menunjukan bahwa jika perilaku individu, kelembagaan pemerintah daerah, peraturan perundang-undangan, dan pengawasan tidak mengalami perubahan atau diasumsikan sudah berjalan dengan normal, maka perilaku korupsi di SKPD Kota Banda Aceh secara konstan hanya berpeluang terjadi sebesar -02.785 pada standar skala likert
The purpose of this study was to examine the effect of manager competence, utilization of information technology and stakeholder involvement on the accountability of BOS fund management with transparency as moderating. The study used a quantitative approach with the census method. The unit of analysis in this study was SMAN and SMKN in Aceh Selatan Regency, which were 38 schools with principals, treasurers, school committees and teachers as respondents. Data was collected by distributing questionnaires to 152 respondents. The results of the study indicate that the competence of managers, utilization of information technology, stakeholder involvement and accountability simultaneously affect the accountability of BOS fund management. Then, partially manager competence, use of information technology, stakeholder involvement, and transparency have a positive effect on the accountability of BOS fund management. Furthermore, transparency is able to moderate the relationship between the competence of managers and accountability for managing BOS funds. Transparency is able to moderate the relationship of stakeholder involvement to the accountability of BOS fund management. However, transparency is not able to moderate the relationship between the use of information technology and the accountability of BOS fund management.
Indonesia has considerable wind energy potential. Energy generation system performance can be monitored and controlled through the Internet of Things (IoT) technology. However, research and development of IoT technology in wind turbines in Indonesia is still low. Therefore, in this study, the author seeks to conduct research related to the development of a website-based wind turbine control and data monitoring system. This research uses a 3 blade horizontal axis wind turbine (NACA 2410). The monitoring system uses the Raspberry Pi 3B + microcontroller and several sensor devices such as the IR LM393 speed sensor to measure wind speed and shaft rotation speed, and the INA219 current-voltage sensor to measure the voltage and current of a 350 Watt DC generator. The website was created using the Laravel 5.8 PHP framework and Chart.js. Furthermore, the sensor calibration process and system testing are carried out. Based on the test results, it was found that the monitoring data system was functioning properly. The data has been successfully sent to the server and can be monitored in real-time via the website. Based on the results of the IR LM393 sensor calibration test, the linear regression equation y = 0.7881x + 13.837, and the value of R2 = 0.9934 is obtained. And the value of R2 = 0.9934 indicates that the sensor calibration process is well correlated. The results of testing the control system and monitoring of wind turbine data monitored through the website for 1 x24 show that the highest wind potential occurs at 13.00 to 14.00 WIB, namely at a wind speed of 3.74 m / s.
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