Green Finance and Green Economics in Indonesia

Puspaningtyas, Meinarti

doi:10.54204/taji/vol312021007

Cited by 3 publications

(2 citation statements)

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“…Besides motorized vehicles, are there other factors that have a significant influence? Please note that the electricity capacity in Indonesia has experienced a surplus with a ratio of 99.68% (Puspaningtyas, 2023), which shows that Indonesia requires no additional power plants.…”

Section: Introductionmentioning

confidence: 99%

Policy for handling air pollution in Jakarta: Study using System Dynamics Simulation Models

Samudra,

Hertasning,

Amiro

2024

J. Infras. Policy. Dev.

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Air pollution in Jakarta has become a severe concern in the last four months. IQAir, in August 2023, revealed that the level of air pollution had reached 161 points on the Air Pollution Standard Index (APSI). The negative impact on society has placed air pollution as a concern for environmental safety and survival in danger. This condition will encourage the development of a national policy agenda to integrate environmental welfare through various energy efficiency channels. This research analyzes the relationship between air pollutant elements that can reduce air quality. The analysis includes pollutant intensity measured by APSI per unit of pollutant as a measure of efficiency. The aim is to observe energy use, which causes an increase in pollutant levels. This research utilizes dynamic system modeling to produce relationships between parameters to produce factors that cause pollution. The parameters used are motorized vehicles, waste burning in landfills, industry, and power plants. The results of historical behavioral tests and statistical suitability tests show that the behavior is suitable for the short and long term. The simulation results show that the pollution level will worsen by the end of 2027, a hazardous condition for society. The optimistic scenario simulation model proposes immediate counter-measures to reduce pollution to 45.01, the ideal condition. To accelerate improvements in air quality, the Government can plan policies to reduce the use of coal by power plants and industry, as well as the use of electric motorized vehicles, resulting in an ideal reduction in pollution by 2024. In conclusion, pollution can be reduced effectively if the Government firmly implements policies to maintain that air quality remains stable below 50 points.

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Section: Introductionmentioning

confidence: 99%

Policy for handling air pollution in Jakarta: Study using System Dynamics Simulation Models

Samudra,

Hertasning,

Amiro

2024

J. Infras. Policy. Dev.

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“…Tingkat pertumbuhan ROA selama lima tahun terakhir hanya 0,03-0,2%, sangat rendah dibandingkan dengan ROA perbankan syariah. Kinerja keuangan BMI telah dipengaruhi oleh runtuhnya banyak bisnis yang menyebabkan peningkatan rasio pembiayaan bermasalah (Puspaningtyas & Zuraya, 2021) Ada banyak faktor yang diyakini mempengaruhi profitabilitas, baik internal maupun eksternal bank syariah. Faktor internal atau spesifik bank yang mempengaruhi ROA bank syariah antara lain rasio kecukupan modal (CAR), pembiayaan bermasalah (NPF), perputaran kas, dan lain-lain (Dewi & Sudarsono, 2021).…”

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DETERMINAN RETURN ON ASSET PADA PT. BANK MUAMALAT INDONESIA Tbk

Candra,

Shabri,

Azizah

et al. 2024

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This study aims to analyze the effect of Non-Performing Financing (NPF), Capital Adequacy Ratio (CAR), and Cash Turn-over on Return On Asset (ROA) at PT Bank Muamalat Indonesia (2012-2021). This research method uses a quantitative approach. The data source used is secondary data sources in the form of financial statements of PT Bank Muamalat Indonesia. The data analysis technique uses multiple linear regression analysis processed with the SPSS 26 program. The results showed that partially NPF and Cash Turnover had an effect on ROA with a significant value of 0.000 and 0.0009 respectively smaller than 0.05. CAR partially has no effect on ROA with a significant value of 0.151 greater than 0.05. Simultaneously NPF, CAR, and Cash Turn-over affect ROA at PT Bank Muamalat Indonesia with a significant value of 0.000 smaller than 0.05. Determinant of the influence of NPF, CAR and Cash Turn-over on Return On Asset is 55.1%.

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