Intan Azizah
Universitas Telkom

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Prediksi Korupsi Menggunakan Indikator tata Kelola Publik (Public Governance) Berbasis Machine Learning Intan Azizah; Rona Nisa Sofia Amriza; Wiwit Ratnasari
Governance IT Adoption and Technology Advance Vol. 1 No. 1 (2026)
Publisher : Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25124/govita.v1i1.10401

Abstract

Corruption is a global problem faced by almost all countries and has a significant impact on development. Corruption is known to hamper economic growth by disrupting production efficiency and reducing innovation. Therefore, early detection of potential corruption is crucial.  The purpose of this study is to predict corruption levels using  public governance indicators through a machine learning approach. The models used include Random Forest Regression, Decision Tree Regression, XGBoost Regression, and Gradient Boosting Regression. The results show that  Random Forest Regression has the best predictive performance, as indicated by an R² value of 0.9802, higher than the other models. Furthermore, the results of the feature importance analysis indicate that the control of corruption dimension is the most dominant factor in determining the Corruption Perception Index (CPI) value. The predictive model allows for early warning of potential increases in corruption and helps focus improvements in governance by strengthening corruption control to support  sustainable development.
Designing a Web-Based Company Profile Information System to Support Information Technology Governance in Event Organizers and Wedding Organizers Intan Azizah; Devian Annas Tawadzu
Governance IT Adoption and Technology Advance Vol. 1 No. 2 (2026)
Publisher : Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25124/govita.v1i2.11213

Abstract

Digital transformation requires business actors in the service sector, such as CV. Brother Indonesia, which is engaged in Event Organizer (EO) and Wedding Organizer (WO), to have a strong digital identity to increase credibility and market reach. So far, reliance on social media has caused the presentation of portfolio information and company profiles to be unstructured, making it difficult to access information for prospective clients of large institutions. This research aims to design and develop a professional web-based company profile information system as an integrated information media as well as a support tool for Information Technology (IT) governance. The development method used is the Waterfall model, which includes the stages of needs analysis, system design, implementation, and testing. The system is developed using the Laravel Framework and Tailwind CSS with interface design (UI/UX) designed through Figma. The results of the research resulted in an official digital platform that includes interactive portfolio features, communication contact integration, and an Admin Panel for content operational efficiency. Tests using the Black-Box method showed that the system ran stable and responsive on a variety of devices. The implementation of this website strategically supports the company's IT governance through the standardization of digital operational procedures that are more transparent, accountable, and aligned with long-term business goals.