Fajar, Mukti
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PELAPORAN PROGRAM KEMITRAAN DAN BINA LINGKUNGAN SERTA CORPORATE SOCIAL RESPONSIBILITY BADAN USAHA MILIK NEGARA Fajar, Mukti; Budi Setyaningrum, Reni
Jurnal Media Hukum Vol 24, No 2 (2017): December
Publisher : Fakultas Hukum Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/jmh.2017.0095.193-206

Abstract

Act number 13 of 2003 on State Owned Enterprise obligate State Owned Enterprise to pay attention on social issues through Partnership and Community Development Program (PKBL). Meanwhile Act number 40 of 2007 on the Limited Liability Company instruct Limited Liability Company to implement Social and Environmental Responsibility which often called as Corporate Social Responsibility (CSR). These two programs are practically have almost the same form, thus assign a double burden for SOEs on its implementation. This study aims  are to find out the mechanism of implementation and reporting of PKBL and CSR from SOEs which are both regulated in different legal regimes. This research is conducted normatively by reviewing various rules and legal documents and empirically by assessing various implementation of PKBL and CSR by SOEs. The result of this study indicate that SOEs must perform PKBL if they have profits, while SOEs related to natural resources industry have to implement CSR which obtained from company’s budget. Both programs are implemented in the same form in providing social assistance and community business. The CSR report is only reported in the Company's annual report to be accounted in front of General Meeting of Shareholders. While the aims of Partnership and Community Development Program financial reporting is to provide information on financial position, activity and cash flow statement and records, for stakeholder’s decision making.
Artificial Intelligence-Based System Tools and Their Impact on The Lawyers’ Practice Farouk, Aisha Dawaki; Fajar, Mukti
Jurnal Penegakan Hukum dan Keadilan Vol 5, No 2 (2024): September
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/jphk.v5i2.18415

Abstract

This study focuses on artificial intelligence (AI)-based system tools and their impacts on the lawyer's practice. With the emergence of technology and its rapid development in the field of sciences, progress can be seen in the different sectors, including the legal profession. Traditionally, only licensed lawyers practice law, but that traditional notion has begun to change with the coming of technology. AI-based system tools were changing how lawyers practice law is being done. Legal information can now be analyzed through network analysis and machine learning (ML) systems. The study adopted an empirical type of research, using a qualitative and quantitative methodological approach to gather and analyze its data. Primary data was collected directly from the targeted respondents, while the secondary data were collected from relevant literature in libraries such as journals, books, newspapers, articles, and online publications. The data collected was analyzed using a frequency distribution table, pie chart, and simple percentage. The study highlighted that 58% agreed that AI was changing and impacting how lawyers practice law. The result showed that 50.9% were aware of the AI-based system tools to automate or assist lawyers in law practice.
Artificial Intelligence-Based System Tools and Their Impact on The Lawyers’ Practice Farouk, Aisha Dawaki; Fajar, Mukti
Jurnal Penegakan Hukum dan Keadilan Vol. 5 No. 2 (2024): September
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/jphk.v5i2.18415

Abstract

This study focuses on artificial intelligence (AI)-based system tools and their impacts on the lawyer's practice. With the emergence of technology and its rapid development in the field of sciences, progress can be seen in the different sectors, including the legal profession. Traditionally, only licensed lawyers practice law, but that traditional notion has begun to change with the coming of technology. AI-based system tools were changing how lawyers practice law is being done. Legal information can now be analyzed through network analysis and machine learning (ML) systems. The study adopted an empirical type of research, using a qualitative and quantitative methodological approach to gather and analyze its data. Primary data was collected directly from the targeted respondents, while the secondary data were collected from relevant literature in libraries such as journals, books, newspapers, articles, and online publications. The data collected was analyzed using a frequency distribution table, pie chart, and simple percentage. The study highlighted that 58% agreed that AI was changing and impacting how lawyers practice law. The result showed that 50.9% were aware of the AI-based system tools to automate or assist lawyers in law practice.