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All Journal JOIV : International Journal on Informatics Visualization Jurnal Ilmiah Matrik JOURNAL OF APPLIED INFORMATICS AND COMPUTING Journal of Information Systems and Informatics Jurnal Ilmiah Betrik : Besemah Teknologi Informasi dan Komputer Journal of Information Technology Ampera Journal of Community Development Ngabdimas : Pengabdian Pada Masyarakat Ngabdimas
Emigawaty
Universitas Amikom Yogyakarta
Agriculture, Biological Sciences & Forestry Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Environmental Science Nursing Public Health Social Sciences

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Journal : Journal of Information Systems and Informatics

 1 
Identifying Perception, Interests and Challenges of Informatics Students on Online Learning During COVID-19 Outbreaks Emigawaty Emigawaty
Journal of Information System and Informatics Vol 3 No 2 (2021): Journal of Information Systems and Informatics
Publisher : Universitas Bina Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33557/journalisi.v3i2.144

Abstract

Since the COVID-19 outbreak is increasingly widespread in Indonesia at the beginning of the year 2020, the government considers taking policies that focus on implementing the learning and teaching process at all levels. This research focuses on identifying the perception, interests, and challenges of online learning for informatics’ students at AMIKOM University Yogyakarta during the global pandemic. This study uses a descriptive quantitative approach using a survey instrument. This research has succeeded in capturing an overview of the ease, obstacles, and challenges of the informatics’ students in joining online learning from the study results. Discussions and contradictions to these results will undoubtedly be different if they are carried out on different student entities and with various subjects. This research contributes to higher education institutions, especially AMIKOM Yogyakarta University, to evaluate the online learning process. Although the case study presented in this research cannot represent other subjects, students' perceptions can be used as essential feedback for educational institutions.
Towards Privacy by Design on the Internet of Things (IoT) Use: A Qualitative Descriptive Study Ahmad Luthfi; Emigawaty Emigawaty
Journal of Information System and Informatics Vol 4 No 2 (2022): Journal of Information Systems and Informatics
Publisher : Universitas Bina Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51519/journalisi.v4i2.302

Abstract

From remote control and surveillance to energy and health monitoring, IoT devices provide cutting-edge services to improve our lives. Nevertheless, IoT technologies raise complicated, innovative privacy-related issues that might limit their widespread adoption. Due to the passive nature of many IoT devices, it may be challenging for users to understand that their personal information is being gathered. Therefore, this paper aims to examine the Privacy by Design IoT application idea. We adapted the seven principles of Ann Cavoukian's Privacy by Design, which were first developed. In this study's qualitative descriptive methodology with interview sections are used. The results indicate that the majority of IoT users agree with and have high expectations for the Privacy by Design concept to be one of the remedies to the imbalance between concerns about the risks and benefits of using IoT.
Data Quality Analysis on Open Government Data Portals: A Qualitative Study Using ISO/IEC 25012:2008 Standards Emigawaty, Emigawaty; Syafrianto, Andri
Journal of Information System and Informatics Vol 6 No 2 (2024): June
Publisher : Universitas Bina Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51519/journalisi.v6i2.862

Abstract

This study evaluates the data quality on Open Government Data (OGD) portals using the ISO/IEC 25012:2008 standard, which categorizes data quality into two main groups: inherent data quality and system-dependent data quality. This standard encompasses dimensions such as accuracy, completeness, consistency, and relevance. Using a qualitative approach, interviews were conducted with data providers and users from the government, industry, and academia. The findings indicate that while some datasets are adequate, there are issues with semantic consistency, completeness, timeliness, and currency of the data. These findings highlight the importance of strict and continuous application of data quality standards in OGD management. Recommendations for improvement include training for data managers and enhancing validation mechanisms before data is published. This study supports government efforts to improve transparency and accountability by providing high-quality data that can be reliably used by various stakeholders.
A Qualitative Study of Researchers Perspective on the Use and Risks of Open Government Data Emigawaty, Emigawaty; Sukmaningrum, Dinda; Nurastuti, Wiji
Journal of Information System and Informatics Vol 7 No 2 (2025): June
Publisher : Universitas Bina Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51519/journalisi.v7i2.1122

Abstract

Open government data has the potential to improve transparency, accountability, public participation, business innovation, and research quality. However, this openness also poses various opportunities for losses or even risks, especially related to low data quality, personal data security issues, data translation errors, and misuse of information. This study aims to review the potential risks of data openness on government data portals from the perspective of researchers as one of the important actors who use data. Using qualitative method with structured interviews, this study involved five potential researchers who actively used open data between May and August 2023. The results of the interviews showed that high data quality, such as accuracy, completeness, and currency, can increase researchers' trust in the data. At the same time, obstacles in accessibility and bureaucracy or data administration requirements can slow down the research process or stages. Security and privacy issues are also important parameters, with strict security policies and good audit processes can reduce the risk of data misuse. Data openness and transparency play a major role in increasing the use of data for public policy and evidence-based research. In addition, data standardization is essential to ensure the efficiency of data use by researchers. This study concludes that to optimize the benefits of data openness, there needs to be proper and measurable management in order to consider data quality, accessibility, security, and standardization.
Co-Authors Adi Wibowo Adian Fatchur Rochim Ahmad Luthfie Andri Syafrianto Branwen, Devin Budi Warsito Eko Pramono Kusworo Adi LILIS DWI FARIDA Lukman Maemunah, Mei Melany Mustika Dewi Muhammad Renauldi Muhammad Sobri Mulyatun, Sri NINIK TRI HARTANTI Nur Widjiyati Nur’aini, Nur’aini Saptyawati, Laksmindra Sukmaningrum, Dinda SUPRIATIN Widiyanti Kurnianingsih Wiji Nurastuti, Wiji Yuli Astuti Zakka, Muhamad Syukron