Article Per Year (5 Year)
p-Index From 2020 - 2025
1.658
P-Index
This Author published in this journals
All Journal Nadwa : Jurnal Pendidikan Islam Laa Maisyir Jurnal Ekonomi Islam Ikonomika : Jurnal Ekonomi dan Bisnis Islam Economica: Jurnal Ekonomi Islam Jurnal Ekonomi dan Bisnis Iqtishoduna: Jurnal Ekonomi Islam Ecces: Economics, Social, and Development Studies Shafin: Sharia Finance and Accounting Journal ADILLA: Jurnal Ilmiah Ekonomi Syari'ah
Ahmed, Ishfaq
Unknown Affiliation
Religion Arts Humanities Economics, Econometrics & Finance Education Social Sciences Other

Published : 10 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search
Journal : Shafin: Sharia Finance and Accounting Journal

 1 
Implementation of Green Accounting in Business Sustainability Putri, Audyta Prasetyani; Yance, Evy; Hwihanus; Sultoni, Mohammad Hamim; Ahmed, Ishfaq
Shafin: Sharia Finance and Accounting Journal Vol. 5 No. 1 (2025)
Publisher : Institut Agama Islam Negeri (IAIN) Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19105/sfj.v5i1.15426

Abstract

The purpose of this study is to ascertain how green accounting implementation affects the sustainability of businesses. The findings of earlier studies will be examined in order to examine this influence. The meta-analysis method is employed in this study. A meta analysis examines several research findings on related issues. Written research on the application of green accounting in business sustainability, in the form of journal articles selected for their alignment with the research theme, serves as the unit of analysis for this study. With the use of a documentation guide, the researcher is the primary tool in this study. Both quantitative data analysis using percentages and qualitative data analysis using narrative study data from the research findings were employed in the data analysis process. Sample errors were determined by calculating the findings of the meta-analysis. The variance of the population correlation is 0.569, while the sampling error variance is 0.023. A relatively modest percentage of variance, or 4%, is created by sampling error when the variance value of the sample error is compared to the population correlation variance value multiplied by 100%. This percentage shows that sampling error-related error bias is minimal.
Co-Authors Achmad Room Fitrianto Adianita, Happy Ahmad Munir Hamid Azhari Azhari Hamid, Ahmad Munir Hamid, Ahmed Munir Hwihanus Mohammad Hamim Sultoni Muhamad Ahsan Mutia Pamikatsih Noval Noval Putri, Audyta Prasetyani Ramadanika, Arista Rusanti, Ega Rusgianto, Sulstiya Sekar Sari, Novi Sirajul Arifin Sofyan, Syaakir Sofyan, Syathir Suwono Suwono Syamsu, Nur Yance, Evy