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Journal : The Indonesian Journal of Computer Science

Assessing Service Quality in Passport Application Mobile Apps(M-Paspor) and its Influence on User Satisfaction: A Case Study using e-GovQual Yaziji, Warda; Aprilia, Relaci; Sensuse, Dana Indra; Lusa, Sofian; Wibowo, Prasetyo Adi
The Indonesian Journal of Computer Science Vol. 12 No. 6 (2023): The Indonesian Journal of Computer Science (IJCS)
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v12i6.3545

Abstract

Technological advances in this era can support public services to serve the public more quickly and responsively. One of the electronic public services used by citizens in Indonesia is the application for a passport. After launching to the public in early 2022, the mobile app M-Paspor is still experiencing some obstacles. This study aims to get recommendations for government consideration based on public experience as users of the M-Paspor application. This study integrates the e-Govqual model initiated by Papadomichelaki & Mentzas and End User Computing Satisfaction by Doll & Tork Zadeh. Six dimensions are used: ease of use, trust, functionality of the interaction environment, reliability, content and appearance of information, and citizen support. With the questionnaire distributed through social media, we analyzed data from 111 respondents. We conducted an analysis using SmartPLS to validate the survey. The result implied that Citizen Support, Functionality of the Interaction Environment, and Reliability significantly influence End User Computing Satisfaction of M-Paspor users
Digital Transformation to Enhance Digital Marketing Strategies for MSME: Case Study PT. XYZ Farhan; Lusa, Sofian; Kunto D.A , Himawan; Mutia Mayanda , Alia
The Indonesian Journal of Computer Science Vol. 13 No. 5 (2024): The Indonesian Journal of Computer Science (IJCS)
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v13i5.4331

Abstract

Since digitalization spread ubiquitously in almost all industries, many traditional businesses have also joined the trend, including PT. XYZ. This company is a startup company that sells queue machines and kiosks. Since 2019, PT. XYZ runs its business through Indonesia’s e-commerce such as Tokopedia and Shopee. However, many competitors appear to collect more customers which made PT. XYZ is difficult to compete with the market industry as a newcomer. In this queue machine and kiosk industry, PT. XYZ already has an official certification from Indonesia’s government and PT. XYZ machines were produced and painted by themselves. But, these main values don’t increase sales because of the lack of brand awareness. Therefore, the company needs a digital transformation to enhance its digital marketing strategy. This study objective uses BMC, PESTEL, and SWOT to analyze the as-is model and to-be model of the company so that the analysis will have a digital transformation strategy to increase brand awareness and sales. The results of this research show that digital marketing is needed to replace current marketing methods and carry out initiatives related to human resources, organizational structure, policy, technology, and community.
Mengeksplorasi Faktor-Faktor Penentu Berbagi Pengetahuan di Sektor Publik: Tinjaun Sistematis-PRISMA Rizky, Fajar; Altino, Iqbal Caraka; Sensuse, Dana Indra; Lusa, Sofian; Safitri, Nadya; Elisabeth, Damayanti
The Indonesian Journal of Computer Science Vol. 14 No. 3 (2025): The Indonesian Journal of Computer Science
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v14i3.4864

Abstract

Knowledge sharing (KS) plays is essential for improving organizational performance and innovation, enabling faster problem-solving and collaboration. However, in the public sector, participation in KS remains low, hindering organizational learning and development. As Indonesia adopts knowledge management systems in its public sector, challenges emerge in fostering knowledge-sharing behaviors. This study uses the systematic review method, following PRISMA 2020 guidelines, to identify key factors influencing knowledge-sharing intention (KSI) and propose solutions. Through a rigorous selection process, 20 relevant studies were analyzed, categorizing factors into individual, organizational, and technological groups. The results indicate that attitudes, perceived behavioral control, subjective norms, reward systems, and the perceived usefulness of technology have a significant impact on KSI. This study offers a comprehensive reference for future research on KS in the public sector and provides insights for policymakers to design initiatives that enhance organizational learning.