Mercu Buana University (UMB, or Universitas Mercu Buana) is a private university in Jakarta, Indonesia. It was established on October 22, 1985. Its main campus is in Meruya.
The increasing emphasis on sustainable governance and Environmental, Social, And Governance practices has heightened the need for banks to strengthen internal mechanisms that support sustainable finance, particularly in emerging market contexts. The aim of this study is to examine the roles of capacity building, green competencies, and financial technology in shaping sustainable finance in small-capital banks. Survey data were collected from employees of small-capital banks classified under Indonesia's capital-based bank grouping KBMI 1 and listed on the Indonesia Stock Exchange, and were analyzed using partial least squares structural equation modeling. The results show that capacity building has a significant positive effect on both green innovation and sustainable finance, highlighting the importance of organizational learning and human capital development. Green competencies positively influence green innovation but do not have a direct effect on sustainable finance. Financial technology has a significant positive effect on sustainable finance, whereas its effect on green innovation is not supported. In addition, green innovation does not directly influence sustainable finance and does not mediate the relationships between internal organizational drivers and sustainable finance. These findings demonstrate that sustainable finance in small-capital banks is advanced through Environmental, Social, And Governance-oriented governance mechanisms that prioritize internal organizational readiness and digital enablement. By clarifying how internal organizational capabilities translate Environmental, Social, And Governance practices into sustainable financial outcomes, this study contributes to the sustainability literature by providing context-specific evidence on governance pathways for advancing sustainable finance in emerging market banking systems.
This study examined whether the quality of environmental and social disclosures influences the financial performance of listed Indonesian companies. Using panel data from 101 firms for 2020-2022 (303 observations), we assess disclosure quality based on Global Reporting Initiative (GRI) Standards across eight dimensions. Fixed-effects panel regression demonstrates that environmental disclosure quality significantly enhances Return on Assets (beta = 0.495, p < 0.001), remaining robust across alternative estimators, standard error corrections, and temporal periods. Social disclosure shows no significant effect (beta = -0.187, p = 0.317). We attribute this difference to symbolic reporting practices, investment time lags, stakeholder prioritization of environmental issues, and measurement challenges. Average disclosure quality remains low (19.7% environmental; 13.8% social). The results support legitimacy theory for environmental disclosure but reveal stakeholder theory limitations in Indonesia's emerging market context, where institutional infrastructure is still developing. The findings inform the implementation of Peraturan Otoritas Jasa Keuangan 51/2017 and the phase-out of the mandatory disclosure policy.
Background: Indonesia’s mandatory sustainability reporting under POJK 51/2017 has transformed financial-sector disclosure practices; however, reporting quality remains uneven, with only 4 of 89 assessed companies achieving an “Excellent” status (OJK, 2023). Objective: This study examines whether profitability (ROA), leverage (DER), and audit quality (Big Four affiliation) determine Sustainability Reporting Quality (SRQ) among financial-sector firms listed on the Indonesia Stock Exchange during 2020–2023. Methods: Grounded in Legitimacy Theory and Stakeholder Theory, this study uses a balanced panel dataset of 103 firms (412 observations). SRQ is operationalised as a Sustainability Reporting Disclosure Index (SRDI) covering 61 items from the GRI Universal Standards. A Fixed Effects Model (FEM) with White robust standard errors was selected based on the Chow Test (F = 4.614; p < 0.001) and Hausman Test (χ² = 8.278; p = 0.041). Results: Profitability (t = −1.920; p = 0.151), leverage (t = −1.190; p = 0.320), and audit quality (t = 1.303; p = 0.284) do not demonstrate significant partial effects on SRQ; however, the model is statistically significant overall (F = 5.277; p < 0.001; R² = 64.42%). The significant intercept (C = 0.489; p < 0.001) indicates the existence of a “regulatory floor,” a mandatory minimum baseline of sustainability disclosure (approximately 29 of 61 GRI items) achieved consistently by all firms regardless of their financial characteristics. This condition reflects the coercive isomorphic pressure imposed by POJK 51/2017. Conclusion: By positioning SRQ as a policy instrument, this study proposes the adoption of graduated, quality-based sustainability governance to strengthen transparency, accountability, and inclusive economic development in emerging economies.
Tax compliance plays an important role in supporting state revenue, which is used to finance development and provide public services. Although the government has implemented tax reforms by simplifying the administrative system and implementing Coretax, the level of corporate taxpayer compliance in Indonesia still faces various challenges, including limited understanding of taxation, suboptimal effectiveness of sanctions, and technical obstacles in implementation. This study aims to analyze the influence of tax knowledge, tax sanctions, and Coretax implementation on corporate taxpayer compliance, with tax socialization as a moderating variable. Data were obtained from 400 corporate taxpayers registered at the Jakarta Pademangan Tax Office through random sampling and analyzed using Structural Equation Modeling (SEM) based on SMARTPLS 3.2.9. The results show that tax knowledge and sanctions have a positive effect on compliance, while Coretax has no direct effect. Tax socialization strengthens the influence of knowledge and Coretax, but weakens the influence of tax sanctions.
Traffic violations and road accidents remain significant challenges in developing safe and efficient transportation systems. Despite technological advancements, improving vehicle detection accuracy and enabling real-time traffic management remain critical research priorities. This study proposes YOLO-LIO, an enhanced vehicle detection framework designed to address these challenges by improving small-object detection and optimizing real-time deployment. The system introduces multi-scale detection, virtual zone filtering, and efficient preprocessing techniques, including grayscale transformation, Laplacian variance calculation, and median filtering to reduce computational complexity while maintaining high performance. YOLO-LIO was rigorously evaluated on five datasets, GRAM Road-Traffic Monitoring (99.55% accuracy), MAVD-Traffic (99.02%), UA-DETRAC (65.14%), KITTI (94.21%), and an Author Dataset (99.45%), consistently demonstrating superior detection capabilities across diverse traffic scenarios. Additional system features include vehicle counting using a dual-line detection strategy within a virtual zone and speed detection based on frame displacement and camera calibration. These enhancements enable the system to monitor traffic flow and vehicle speeds with high accuracy. YOLO-LIO was successfully deployed on Jetson Nano, a compact, energy-efficient hardware platform, proving its suitability for real-time, low-power embedded applications. The proposed system offers an accurate, scalable, and computationally efficient solution, advancing intelligent transportation systems and improving traffic safety management.
