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Data Quality Management Strategy To Improve Remote Sensing Data Quality: A Case Study On National Remote Sensing Data Bank Agnes Sondita Payani; Alia Mutia Mayanda; Adenia Adiresta; Yova Ruldeviyani
IPTEK The Journal for Technology and Science Vol 33, No 3 (2022)
Publisher : IPTEK, LPPM, Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j20882033.v33i3.14198

Abstract

National Remote Sensing Data Bank (Bank Data Penginderaan Jauh Nasional; BDPJN) is the operational implementer in the field of remote sensing to meet the needs of national data on remote sensing images. Remote sensing images are essential in the Indonesian government for various needs, such as in regional (spatial planning, city boundaries), disaster (forest fires, floods, landslides, earthquakes, volcanic eruptions), plantation, natural resources, and environment sectors. Quality management of BDPJN’s satellite images becomes challenging due to the increasing number of products owned and users annually. For this reason, a data quality management strategy is needed to guarantee and improve the quality of BDPJN data. To develop such a strategy, an assessment of the maturity of BDPJN’s data quality man- agement was conducted from the aspect of data processing by implementing Loshin’s Data Quality Management Maturity Model (DQM3) to find out the characteristics that were lacking. The results were then mapped based on Data Quality Management (DQM) activities in DAMA-DMBOK as a recommendation for data quality management strategies. This study applies quantitative research where data collection was done by distributing questionnaires to 24 respondents who are data stewards of medium, high, and very high-resolution mosaic images. Based on the assessment, BDPJN is in the maturity level of Defined to Managed. The recommendations are 21 DQM activities that can be carried out to improve BDPJN data quality.
Net impact implementation application development life-cycle management in banking sector Noviana Pramitasari; Yova Ruldeviyani; Irvan Ramadhan Zarkasie
Computer Science and Information Technologies Vol 4, No 2: July 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/csit.v4i2.p169-182

Abstract

Digital transformation in the banking sector creates a lot of demand for application development, either new development or application enhancement. Continuous demand for reimagining, revamping, and running applications reliably needs to be supported by collaboration tools. Several big banks in Indonesia use Atlassian products, including Jira, Confluence, Bamboo, Bitbucket, and Crowd, to support strategic company projects. We need to measure the net impact of application development life-cycle management (ADLM) as a collaboration tool. Using the deLone and McLean model, process questionnaire data from banks in Indonesia that use ADLM. Processing data using structural equation modeling (SEM), multiple variables are analyzed statistically to establish, estimate, and test the causation model. The conclusions highlight that system quality strongly affected only User Satisfaction (p=0.049 and β=0.39). Information quality strongly affected use (p=0.001 and β=0.84) and strongly affected user satisfaction (p=0.169 and β=0.28). Service quality strongly affected only use (p=0.127 and β=0.31). Conclusion research verifies the information system's achievement approach described by DeLone and McLean. Importantly, it was discovered that system usability and quality were key indicators of ADLM success. To fulfill their objective, ADLM must be developed in a way that is simple to use, adaptable, and functional.
Optimizing User Satisfaction: A Comprehensive Evaluation of the Info BMKG App Using UEQ+ and IPA Methods Bima Tri Ariyanto; Yova Ruldeviyani; GS Budhi Dharmawan; Maharani IF Bahar
International Journal of Engineering Continuity Vol. 3 No. 1 (2024): ijec
Publisher : Sultan Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58291/ijec.v3i1.242

Abstract

An update to the appearance of the BMKG Info app in November 2022 led to a 0.26 drop in the monthly rating, suggesting that the change may not have met users' expectations. This study aims to identify the cause of the rating drop through a user experience (UX) assessment involving 1,237 app users. Using the User Experience Questionnaire Plus (UEQ+) and Importance Performance Analysis (IPA), this study collected and analyzed user feedback related to five aspects of UX: efficiency, novelty, usability, trust in content, and clarity. IPA results show that efficiency is a highly important but underperforming aspect, indicating that interface updates reduce efficiency and negatively impact user satisfaction. Recommendations include prioritizing efficiency improvements, usability evaluations, collecting additional feedback, and using IPA data to drive improvement priorities. The findings of this study contribute to the field of science by demonstrating the importance of a comprehensive UX analysis for updated apps. For future research, it is recommended to conduct longitudinal studies to monitor changes in user satisfaction over time and explore innovative methods to improve the overall user experience.