As Andi Muhammad Muqsith Ashari, a dedicated Computer Science student with a focus on Artificial Intelligence at BINUS University, I am proud to introduce our paper on "Systematic Literature Review on Corruption Prevention Efforts towards Sustainable Economy in Indonesia: ICT Perspective." This work is not just an academic exercise but a reflection of my commitment to leveraging AI and technology to tackle societal issues. Through this blog, I aim to highlight the innovative approaches we've explored to address corruption in Indonesia, showcasing the intersection of ICT and corruption prevention strategies. Join me as we delve into this pivotal research, aiming to contribute meaningfully to Indonesia's journey towards a sustainable and corruption-free economy.
The paper presents a Systematic Literature Review (SLR) on corruption prevention efforts in Indonesia from an ICT perspective, focusing on enhancing sustainable economic growth. It identifies key areas of ICT research in corruption prevention, utilizing the PRISMA framework for systematic analysis.
The study employs the SLR methodology, using the PRISMA flowchart for identifying relevant literature from the Scopus database. It emphasizes a methodical approach to select studies published between 2014-2018, related to computer science and its application in corruption prevention.
Result & Analysis
The analysis reveals five main ICT research areas for corruption prevention: information transparency, operational enhancement, success evaluation, security and fraud, and decision support. These findings align with global standards, suggesting ICT's significant role in fostering transparent governance and effective corruption prevention strategies.