Article Per Year (5 Year)
p-Index From 2021 - 2026
0.408
P-Index
This Author published in this journals
All Journal Jurnal Riset Teknik Komputer Jurnal Riset Sistem Informasi
Mario Aldy Wijaya
Unknown Affiliation
Computer Science & IT Education Industrial & Manufacturing Engineering Other

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

 1 
PERENCANAAN  STRATEGIS SISTEM INFORMASI MENGGUNAKAN METODE WARD AND PEPPARD PADA PT. CENTRAL BEARINDO INTERNATIONAL Vionetha Lavega; Monalisa Effendy; Niko Ananda Limmanto; Mario Aldy Wijaya; Darren Hansen; Mulyati Mulyati
Jurnal Riset Sistem Informasi Vol. 3 No. 2 (2026): April : Jurnal Riset Sistem Informasi
Publisher : CV. Denasya Smart Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69714/7c83b754

Abstract

The rapid development of information technology requires companies to implement strategic planning of Information Systems/Information Technology (IS/IT) that is aligned with business objectives. PT Central Bearindo International, a national-scale bearing distribution company, has utilized several information systems to support its operational activities; however, these systems still operate independently, resulting in data integration issues and reduced operational efficiency. This study aims to develop an IS/IT strategic planning framework that effectively supports the company’s business needs. The Ward and Peppard method is employed, encompassing internal and external business environment analysis, IS/IT condition analysis, application portfolio mapping using the McFarlan Strategic Grid, and the formulation of IS/IT development recommendations and a roadmap. The results indicate that the company requires integration of sales, inventory, and financial systems to improve data accuracy and consistency. Furthermore, optimization of existing systems and the development of a human resource (HR) module integrated with the fingerprint-based attendance system are recommended to enhance operational efficiency. The integrated utilization of system data is also expected to support more accurate and data-driven managerial decision-making. This study is expected to serve as a reference for companies in developing integrated information systems aligned with their business strategies.
ANALISIS KUALITAS APLIKASI MOBILE ANDROID TIKTOK MENGGUNAKAN METODE MCCALL Vincent Andreson; Marvin Junaidi; Niko Ananda Limmanto; Mario Aldy Wijaya; Kevin Brillian; Dicky Pratama
Jurnal Riset Teknik Komputer Vol. 3 No. 1 (2026): Maret : Jurnal Riset Teknik Komputer (JURTIKOM)
Publisher : CV. Denasya Smart Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69714/2g59bs25

Abstract

Software quality is a crucial aspect in mobile application development, particularly for social media applications with high user interaction and intensive usage. TikTok, as one of the most widely used short-video-based social media applications, requires optimal operational quality to ensure a satisfactory user experience. This study evaluates the quality of the TikTok Android application using the McCall method, focusing on Product Operation factors. A quantitative approach was employed, with data collected through questionnaires distributed to TikTok users. The analyzed quality factors include correctness, reliability, efficiency, integrity, and usability. Data were analyzed using weighted scoring based on the McCall model to determine the overall quality level. The results indicate that the TikTok Android application is in the good category, with correctness (84.2%) and efficiency (75%) scoring highest. However, reliability (50.4%), integrity (51.8%), and usability (52.6%) were rated fair, indicating areas for improvement. This study provides insights for developers to enhance software quality and serves as a reference for future research on mobile social media application evaluation.
Co-Authors Darren Hansen Dicky Pratama Kevin Brillian Marvin Junaidi Monalisa Effendy mulyati mulyati Niko Ananda Limmanto Vincent Andreson Vionetha Lavega