TOWARDS AN OPTIMIZED DATA PIPELINE IN INDONESIAN CUSTOMS AND EXCISE FORENSIC DATA ANALYTICS: A PRACTICE-AS-RESEARCH INQUIRY

Forensic data analytics is a method of applying data analytics in digital forensics. This research uses the practice-as-research method to show how to effectively establish an optimized data pipeline for forensic data analytics in support of implementing digital forensics in Indonesian customs and excise law enforcement. The study offers insights into how general principles, processes, and phases in digital forensics can be applied to Indonesian customs and excise law enforcement, with a focus on developing data pipelines in forensic data analytics. It also suggests practices to improve the implementation of customs and excise digital forensics, such as issuing a detailed guide for implementing digital forensics, enhancing information technology infrastructure, and creating a case management system that supports the forensic data pipeline. These efforts are aimed at upholding the chain of custody principle in digital forensics throughout the customs and excise law enforcement process.