Qualified Digital Ecosystems As an Academic Information System Framework in The Industrial 4.0

Leveraging quality models to establish a robust digital ecosystem is imperative in the Industry 4.0 era. Existing Academic Information System (AIS) software often lacks comprehensive adoption of quality models as core system instruments. As a critical component of the education sector's digital...

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Main Authors: Ino Sulistiani, Nursaeni, Bobur Sobirov
Format: Article
Language:English
Published: Universitas Teknologi Akba Makassar, Lembaga Penelitian dan Pengabdian Masyarakat 2024-12-01
Series:Inspiration
Subjects:
Online Access:https://ojs.unitama.ac.id/index.php/inspiration/article/view/92
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author Ino Sulistiani
Nursaeni
Bobur Sobirov
author_facet Ino Sulistiani
Nursaeni
Bobur Sobirov
author_sort Ino Sulistiani
collection DOAJ
description Leveraging quality models to establish a robust digital ecosystem is imperative in the Industry 4.0 era. Existing Academic Information System (AIS) software often lacks comprehensive adoption of quality models as core system instruments. As a critical component of the education sector's digital transformation, AIS represents a vital ecosystem for facilitating efficiency and innovation in this industrial era. This study addresses these gaps by implementing a comprehensive quality framework for AIS, integrating cloud computing for enhanced security and privacy, and employing the Web-Based Application Quality Model (WBAQM) as the primary development framework. The research also utilizes ISO 9126 and ISO/IEC 25010 quality models to establish usability and security standards, while the Academic Information System Quality Instrument (AISQI) is introduced to evaluate system performance. Additionally, the COBIT framework is applied to audit and enhance AIS functionality, ensuring alignment with academic and operational needs. The findings demonstrate that adopting quality models significantly improves the reliability, usability, and security of AIS software, delivering a system that aligns with both functional requirements and user expectations. This research contributes to the digital transformation of educational institutions in Indonesia by providing a scalable and efficient AIS framework. By aligning with Industry 4.0 principles, the proposed model ensures quality assurance and fosters innovation, enabling educational institutions to adapt to evolving technological demands and improve overall institutional performance.
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institution Kabale University
issn 2088-6705
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language English
publishDate 2024-12-01
publisher Universitas Teknologi Akba Makassar, Lembaga Penelitian dan Pengabdian Masyarakat
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spelling doaj-art-48f2e130622040f1b9490b21258628bf2025-01-28T05:51:37ZengUniversitas Teknologi Akba Makassar, Lembaga Penelitian dan Pengabdian MasyarakatInspiration2088-67052621-56082024-12-01142667710.35585/inspir.v14i2.9292Qualified Digital Ecosystems As an Academic Information System Framework in The Industrial 4.0Ino Sulistiani0Nursaeni1Bobur Sobirov2Institut Agama Islam Negeri PalopoInstitut Agama Islam Negeri PalopoSamarkand branch of Tashkent State University of EconomicsLeveraging quality models to establish a robust digital ecosystem is imperative in the Industry 4.0 era. Existing Academic Information System (AIS) software often lacks comprehensive adoption of quality models as core system instruments. As a critical component of the education sector's digital transformation, AIS represents a vital ecosystem for facilitating efficiency and innovation in this industrial era. This study addresses these gaps by implementing a comprehensive quality framework for AIS, integrating cloud computing for enhanced security and privacy, and employing the Web-Based Application Quality Model (WBAQM) as the primary development framework. The research also utilizes ISO 9126 and ISO/IEC 25010 quality models to establish usability and security standards, while the Academic Information System Quality Instrument (AISQI) is introduced to evaluate system performance. Additionally, the COBIT framework is applied to audit and enhance AIS functionality, ensuring alignment with academic and operational needs. The findings demonstrate that adopting quality models significantly improves the reliability, usability, and security of AIS software, delivering a system that aligns with both functional requirements and user expectations. This research contributes to the digital transformation of educational institutions in Indonesia by providing a scalable and efficient AIS framework. By aligning with Industry 4.0 principles, the proposed model ensures quality assurance and fosters innovation, enabling educational institutions to adapt to evolving technological demands and improve overall institutional performance.https://ojs.unitama.ac.id/index.php/inspiration/article/view/92quality modelsacademic information systems instrumentframeworks digital ecosystemsindustrial era 4.0
spellingShingle Ino Sulistiani
Nursaeni
Bobur Sobirov
Qualified Digital Ecosystems As an Academic Information System Framework in The Industrial 4.0
Inspiration
quality models
academic information systems instrument
frameworks digital ecosystems
industrial era 4.0
title Qualified Digital Ecosystems As an Academic Information System Framework in The Industrial 4.0
title_full Qualified Digital Ecosystems As an Academic Information System Framework in The Industrial 4.0
title_fullStr Qualified Digital Ecosystems As an Academic Information System Framework in The Industrial 4.0
title_full_unstemmed Qualified Digital Ecosystems As an Academic Information System Framework in The Industrial 4.0
title_short Qualified Digital Ecosystems As an Academic Information System Framework in The Industrial 4.0
title_sort qualified digital ecosystems as an academic information system framework in the industrial 4 0
topic quality models
academic information systems instrument
frameworks digital ecosystems
industrial era 4.0
url https://ojs.unitama.ac.id/index.php/inspiration/article/view/92
work_keys_str_mv AT inosulistiani qualifieddigitalecosystemsasanacademicinformationsystemframeworkintheindustrial40
AT nursaeni qualifieddigitalecosystemsasanacademicinformationsystemframeworkintheindustrial40
AT bobursobirov qualifieddigitalecosystemsasanacademicinformationsystemframeworkintheindustrial40