Agustyarum Pradiska Budi, Sri Wulandari, Galuh Nugrahaning Budi

ANALISIS MODEL HOT-FIT TERHADAP KINERJA KEAMANAN SIBER DENGAN MEDIASI KESIAPAN KEAMANAN SIBER DI RSUD AJIBARANG

Introduction

Analisis model hot-fit terhadap kinerja keamanan siber dengan mediasi kesiapan keamanan siber di rsud ajibarang. Analisis model HOT-FIT terhadap kinerja & kesiapan keamanan siber di RSUD Ajibarang. Meneliti faktor Human, Organisasi, Teknologi & rekomendasikan strategi peningkatan.

Abstract

Penelitian ini bertujuan mengkaji faktor-faktor HOT-FIT yaitu Human, Organization dan Technology untuk mengukur kinerja keamanan siber yang dimediasi oleh variabel kesiapan keaman siber di RSUD Ajibarang. Hasil analisis menggunakan pendekatan Partial Least Squares-Structural Equation Modeling (PLS-SEM) menunjukkan nilai R Square untuk kesiapan keamanan siber sebesar 0,768 dan kinerja keamanan siber sebesar 0,624, mengindikasikan model memiliki kekuatan eksplanatori yang baik. Namun, nilai Q Square untuk kesiapan keamanan siber (0,512) dan kinerja keamanan siber (0,256) menunjukkan kemampuan prediktif yang bervariasi. Dari 13 hipotesis yang diuji, 4 diterima, termasuk pengaruh signifikan kebijakan dan prosedur, komitmen manajemen, serta implementasi teknologi terhadap kesiapan keamanan siber, dan pengaruh sistem dan teknologi terhadap kinerja keamanan siber. Penelitian ini menyimpulkan bahwa pentingnya aspek kebijakan, komitmen manajemen, implementasi teknologi, dan sistem keamanan dalam meningkatkan kesiapan dan kinerja keamanan siber untuk peningkatan keamanan siber pada RSUD Ajibarang. Oleh karena itu rekomendasi yang diberikan untuk kesiapan keamanan siber sebagai upaya prioritas melalui dukungan manajemen terhadap kebijakan, investasi teknologi dan investasi divisi IT. Sedangkan untuk kinerja kemanan siber hanya dapat diukur melalui invetasi pemutakhiran sistem dan teknologi. Untuk itu, RSUD Ajibarang perlu melakukan penelitian lanjutan terkait evaluasi ROI (Return on Investment) dalam system dan teknologi.

Review

This study, titled "ANALISIS MODEL HOT-FIT TERHADAP KINERJA KEAMANAN SIBER DENGAN MEDIASI KESIAPAN KEAMANAN SIBER DI RSUD AJIBARANG," addresses a critically important and timely topic: cybersecurity performance within the healthcare sector. Specifically, it investigates the impact of Human, Organization, and Technology (HOT-FIT) factors on cybersecurity performance, with cybersecurity readiness serving as a mediating variable, at RSUD Ajibarang. The research aims to provide actionable insights for enhancing digital security within this vital public service institution, making a valuable contribution to understanding cybersecurity dynamics in a specific organizational context. Methodologically, the authors employed Partial Least Squares-Structural Equation Modeling (PLS-SEM) to analyze the proposed relationships. The results indicate a robust explanatory power for the model, with R-square values of 0.768 for cybersecurity readiness and 0.624 for cybersecurity performance. However, the Q-square values, indicative of predictive relevance, showed more variation (0.512 for readiness, 0.256 for performance), suggesting a stronger predictive capability for readiness than for performance. Out of thirteen hypotheses tested, four were statistically significant. These key findings highlight the critical influence of policy and procedures, management commitment, and technology implementation on cybersecurity readiness, while also identifying system and technology as a direct predictor of cybersecurity performance. The study's strengths lie in its application of a well-established model (HOT-FIT) to a crucial sector and its use of a sophisticated statistical technique (PLS-SEM) to analyze complex relationships. The practical recommendations, focusing on management support for policies, technology investment, and IT division investment for readiness, are directly applicable to RSUD Ajibarang. However, the relatively low number of accepted hypotheses (4 out of 13) and the moderate predictive relevance for cybersecurity performance (Q-square 0.256) suggest that other factors or more nuanced interactions might also be at play, warranting further investigation. The authors appropriately recommend future research, particularly an evaluation of Return on Investment (ROI) for system and technology upgrades, which is a sensible next step to quantify the financial benefits of these cybersecurity efforts. Overall, this research provides a solid foundation for improving cybersecurity posture within the target hospital, despite some avenues for deeper exploration.

Full Text

Comments

You need to be logged in to post a comment.