Mona Fronita
Universitas Islam Negeri Sultan Syarif Kasim Riau, Pekanbaru

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The Implementation of Personal Data Protection Law on Information System Security Risks Using OCTAVE-S Gita Nurul Aini; Muhammad Jazman; Angraini; Mona Fronita
KLIK: Kajian Ilmiah Informatika dan Komputer Vol. 3 No. 6 (2023): Juni 2023
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/klik.v3i6.848

Abstract

This research focuses on the risk assessment and mitigation of the Hitmi system, an information system used by PT Perkebunan Nusantara (PTPN V) for calculating employee premiums. The study aims to identify and evaluate the risks associated with the system's information technology assets and provide risk mitigation recommendations in accordance with information security practices and the Personal Data Protection Act. The research methodology includes several stages: Planning, Data Collection, Analysis and Data Processing, and Final Phase. In the Planning Stage, the problem is identified through observations and interviews, and the research purpose is defined. The Data Collection Phase involves literature studies, observations, interviews, and the use of OCTAVE-S sheets to collect relevant data. The Analysis and Data Processing stage focuses on analyzing the collected data and processing it for conclusions and problem resolution. The OCTAVE-S framework is used to identify assets, vulnerabilities, and develop security strategies and plans. The results and discussion section presents the mapping of the OCTAVE-S analysis with the Personal Data Protection Act, identifying organizational information, and assessing organizational security practices. The risk impact assessment criteria are used to evaluate the risks, and the assets of the organization are identified. The assessment of security practices reveals areas of improvement and areas where good security practices are already implemented. Based on the findings, recommendations for risk mitigation are provided. These recommendations include security awareness and training programs for employees, improved resource allocation for security activities, regular updates to security policies, and the implementation of access control measures, incident management procedures, and encryption techniques.This research contributes to enhancing information security practices and reducing risks associated with the Hitmi system at PTPN V. The findings can guide the organization in implementing effective security controls, complying with the Personal Data Protection Act, and ensuring the confidentiality, integrity, and availability of sensitive data.
Analisa Pengaruh Technology Readiness Index Pada Penggunaan E-Wallet Arvin Hardianto; Mona Fronita; Medyantiwi Rahmawita M; Arif Marsal
Bulletin of Computer Science Research Vol. 5 No. 4 (2025): June 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bulletincsr.v5i4.632

Abstract

Current technological developments have also driven transformation in payment systems, one of which is through the implementation of a non-cash lifestyle digital wallet, such as DANA, an application used as a medium for storing and transacting electronic money via smartphone devices. Although the number of DANA users and transaction values ??have shown a significant increase, the adoption of technology does not always have a positive impact. There are still problems, one of which is that some users report delays in incoming balances. The success of implementing technological innovation is influenced by various factors, one of which can be measured using the Technology Readiness Index (TRI) instrument developed by Parasuraman. This study aims to identify factors that inhibit the use of DANA Digital Wallets in Indonesia. The results of the analysis using SPSS version 26 software show that the TRI value is at 3.00994 which is included in the moderate category, proving that the resulting influence is standard, with the highest value on the Discomfort variable (0.77892) and the lowest value on the Insecurity variable (0.72978).