Claim Missing Document
Check
Articles

Found 2 Documents
Search

Analisis Manajemen Risiko Teknologi Informasi pada Dinkominfo Surabaya Menggunakan Metode Failure Mode and Effect Analysis (FMEA) Fidyah Salsabila Putri Sillehu; Marisca Amanda Hidayat; Raihana Sakhi Aswanda; Audrey Septya Rosanti; Agung Brastama Putra; Amalia Anjani Arifiyanti
Merkurius : Jurnal Riset Sistem Informasi dan Teknik Informatika Vol. 3 No. 4 (2025): Juli: Merkurius: Jurnal Riset Sistem Informasi dan Teknik Informatika
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/merkurius.v3i4.947

Abstract

The use of information technology (IT) in the government sector requires structured risk management to ensure the continuity of public services. The Department of Communication and Information Technology (Dinkominfo), as a digital service provider, faces various potential risks such as network disruptions, hardware failures, and cyberattacks that could interfere with daily operations. This study employs the Failure Mode and Effect Analysis (FMEA) method to identify, analyze, and formulate strategies to mitigate existing IT risks. Through the FMEA approach, each potential failure is evaluated based on its severity, occurrence, and detection capability, which are then used to calculate a Risk Priority Number (RPN). The analysis reveals that the highest RPN values are associated with information system errors, hardware failures, and network overloads. As mitigation measures, the study recommends conducting regular system audits, upgrading network capacity, and performing preventive maintenance on devices. This approach demonstrates that FMEA is an effective method for managing IT risks within government institutions.
Analisis Tren Penggunaan Aplikasi Kebugaran: Tinjauan Literatur Sistematis Fidyah Salsabila Putri Sillehu; Arista Pratama; Asif Asif Faroqi
MDP Student Conference Vol 5 No 1 (2026): The 5th MDP Student Conference 2026
Publisher : Universitas Multi Data Palembang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35957/mdp-sc.v5i1.15437

Abstract

This study aims to analyze research trends related to the intention to use fitness applications through a Systematic Literature Review (SLR). The review was conducted by identifying, selecting, and evaluating relevant studies published between 2021 and 2025 using Google Scholar, Scopus, and SINTA databases. A total of 17 articles met the inclusion and quality assessment criteria. The results indicate that the UTAUT2 model is the most frequently used model in studies on fitness application usage intention. Several UTAUT2 variables, including Performance Expectancy, Hedonic Motivation, and Habit, are identified as the most dominant factors influencing usage intention. In addition, PLS-SEM is the most commonly applied data analysis method. This study is expected to serve as a reference in determining relevant models, variables, and research methods for future studies.