Claim Missing Document
Check
Articles

Found 2 Documents
Search

Battery Performance Evaluation through Decision Tree Jevelin, Jevelin; Oetama, Raymond Sunardi
JISA(Jurnal Informatika dan Sains) Vol 7, No 1 (2024): JISA(Jurnal Informatika dan Sains)
Publisher : Universitas Trilogi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31326/jisa.v7i1.1796

Abstract

This study addresses the pervasive concern surrounding battery performance degradation in electronic devices. While some attribute this decline to device aging, a significant portion of the population lacks awareness of the precise factors contributing to diminished battery efficiency. Consequently, the research investigates the factors related to battery performance, aiming to identify the determinants of reduced efficiency. Decision trees are used to meticulously analyze the intricate relationships between variables and discern the factors that respondents perceive as causative of diminished battery performance. This algorithm is chosen since, in predicting high-capacity lithium-ion battery performance, the decision tree outperforms other algorithms in machine learning in accuracy. The study elucidates diverse user preferences, with 55.38% favoring Android and 44.62% expressing a preference for iOS, indicating disparate perceptions of battery health: 61.54% consider their batteries as "Good," while 38.46% acknowledge a decline. The decision tree analysis of 195 participants underscores the pronounced impact of prolonged usage on battery health, revealing that 95% maintain good battery performance. In contrast, 27.69% of Android users face reduced battery performance, emphasizing the need for targeted user education and Android manufacturers to prioritize device longevity. The ultimate objective is to give readers a comprehensive understanding of the dynamics of battery performance in the context of device aging and its contributing factors and give some input to manufacturers and service providers. 
Evaluation the Information Security Management System: A Path Towards ISO 27001 Certification Jevelin, Jevelin; Faza, Ahmad
Journal of Information System and Informatics Vol 5 No 4 (2023): Journal of Information Systems and Informatics
Publisher : Universitas Bina Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51519/journalisi.v5i4.572

Abstract

This study addresses the urgent need for robust data security by evaluating the Information Security Management System (ISMS) of a private contractor poised for ISO 27001 certification. It introduces the context of pervasive data breaches that necessitate stringent security measures. Employing a mixed-methods approach, the research method combines the KAMI index for quantitative maturity assessment with qualitative insights from staff interviews and literature reviews. The results reveal the contractor's ISMS maturity at levels I+ to II, indicating a shortfall in meeting the ISO 27001 benchmark. The discussion highlights the efficacy of the PDCA cycle in ISMS implementation, but also underscores the imperative for enhancements to fulfill certification requirements.