Evaluating the Effectiveness of the All-in-One Dashboard System (AIODS) in Enhancing Vocational High School Management

Hade Afriansyah, Nurhizrah Gistituati, Irsyad Irsyad, Sufyarma Marsidin, Rusdinal Rusdinal, Ahmad Sabandi and Nurul Widya

Data and Metadata, 2025, vol. 4, 1159

Abstract: This study evaluates the effectiveness of the All-in-One Dashboard System (AIODS) in improving school management, particularly in vocational high schools (SMKs). The objective was to assess the AIODS’s potential in enhancing decision-making processes by providing real-time data on academics, finances, human resources, and infrastructure. The study used a mixed-methods approach, combining quantitative surveys to evaluate the practicality of the AIODS and qualitative interviews with school principals to gain deeper insights into its functionality. The data collected were analyzed using an effectiveness index based on six key indicators: usability, technical performance, security, content and information effectiveness, usage efficiency, and user satisfaction. Results showed that the system achieved an overall effectiveness score of 96 %, with user satisfaction and usability being the highest-rated aspects, both scoring above 97 %. The findings indicate that AIODS is highly effective in supporting data-driven decision-making, streamlining school management, and improving administrative efficiency. However, the study also highlighted areas for further development, including the addition of features like alumni data and news channels. In conclusion, the AIODS provides a promising model for enhancing school leadership and management, offering a comprehensive, user-friendly platform that aligns with the evolving needs of vocational education.

Date: 2025
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:dbk:datame:v:4:y:2025:i::p:1159:id:1056294dm20251159

DOI: 10.56294/dm20251159

Access Statistics for this article

More articles in Data and Metadata from AG Editor
Bibliographic data for series maintained by Javier Gonzalez-Argote ().