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All Journal The Indonesian Journal of Computer Science
Rudelviani, Yova
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Computer Science & IT Electrical & Electronics Engineering Engineering

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Journal : The Indonesian Journal of Computer Science

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Improvement of Data Operations Management using CMMI and DMBOK in Soekarno-Hatta Meteorology Station Nur Ramdhani, Jihan; Rudelviani, Yova; Pradnyadipa, I Made Aditya; Shofwan, Irwan
The Indonesian Journal of Computer Science Vol. 13 No. 2 (2024): The Indonesian Journal of Computer Science (IJCS)
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v13i2.3786

Abstract

Soekarno-Hatta Meteorology Station is a Technical Implementation Unit within Badan Meteorologi, Klimatologi, dan Geofisika (BMKG). It has the duties to manage, and process data for safety, regulation, and aviation navigation efficiency by distributing the processed data to their stakeholder, such as Air Traffic Service (ATS), flight operators, and pilots. Furthermore, research was also conducted in the station regarding the creation of Aerodrome Climatological Summary (ACS) annually. Loss of flight document data occurred in 2019 due to a ransomware attack, causing the cessation of the data operation process on the flight document. Unfortunately, there is no data recovery resulting in the unavailability of flight document data. This accident is very crucial because flight document data should not be lost within a 30-day timeframe as it is needed in case of any flight accident mechanism. It shows that Data Operations Management needs to be improved to support the business process. This study aims to evaluate the maturity level of data operations management in Soekarno-Hatta Meteorology Station by a conceptual model based on DAMA-DMBOK and the level of maturity is assessed using the Capability Maturity Model Integration (CMMI). The result showed that the average activity reaches level 2. Six activities are at level 1, namely obtaining externally sourced data, plan for data recovery, set database performance service levels, archive, retain, and purge data, support specialized database inventory and track data technology licenses, support data technology usage and issues. The rest of the activities will require action to improve their maturity level as given in the recommendation.
Digital Forensic Ethical Data Handling in Indonesia Thealma, Feby; Rudelviani, Yova
The Indonesian Journal of Computer Science Vol. 14 No. 1 (2025): The Indonesian Journal of Computer Science (IJCS)
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v14i1.4588

Abstract

Digital evidence in digital forensic investigations may contain sensitive information which includes private data, however none of the digital forensic standards used in Indonesia focuses on the ethical data handling aspect. Concerning the recent release of Indonesia’s Private Data Protection law, this research aims to find clauses in the law that has not been addressed in the digital forensic standards. This research is conducted by correlating Indonesia’s Private Data Protection law against digital forensic standards used in Indonesia to find how Indonesia’s Private Data Protection law has been complied with the usage of digital forensic standards. As of now, only half of the existing digital forensic standards used in Indonesia has explicitly complied with Indonesia’s Private Data Protection law and there are room for improvement to enhance digital forensic ethical data handling in Indonesia.
Co-Authors Nur Ramdhani, Jihan Pradnyadipa, I Made Aditya Shofwan, Irwan Thealma, Feby