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All Journal Journal of Science and Science Education (JoSSEd) International Journal Software Engineering and Computer Science (IJSECS)
Syamsiah Syamsiah
Indraprasta Pgri University
Agriculture, Biological Sciences & Forestry Astronomy Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Computer Science & IT Earth & Planetary Sciences Education Electrical & Electronics Engineering Energy Materials Science & Nanotechnology Neuroscience Physics

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Business Intelligence and Decision Support to Enhance Decision-Making Quality in Higher Education Syamsiah Syamsiah; Agus Darmawan; Halimatusa'diah Halimatusa'diah; Reko Syarif Hidayatullah; Nasrulloh Isnain
International Journal Software Engineering and Computer Science (IJSECS) Vol. 5 No. 2 (2025): AUGUST 2025
Publisher : Lembaga Komunitas Informasi Teknologi Aceh (KITA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ijsecs.v5i2.4273

Abstract

The availability of accurate and reliable data is essential for organizational sustainability. Business intelligence (BI) enhances an organization's ability to analyze challenges, support decision-making, and improve performance. The term “Business Intelligence System” refers to applications and technologies that facilitate BI activities, including data collection, storage, access, and analysis—thus providing insights into performance and aiding informed decisions. These activities include decision support systems, querying, reporting, OLAP, statistical analysis, forecasting, and data mining. BI applications encompass reporting tools, analytics platforms, dashboards, alerts, and portals, and involve technologies such as data integration, quality management, warehousing, and content analysis. Accordingly, a Business Intelligence System can function as a Decision Support System. This study uses SPSS version 17 for data analysis to evaluate the impact of BI and decision support on decision-making quality in colleges in Jakarta and Bekasi. ANOVA (F-test) results show an F-value of 117.041, exceeding the F-table value of 3.29, with a significance of 0.000 < α = 0.05. Since the calculated F-value surpasses the critical value and the significance level is below 0.05, the null hypothesis is rejected. Thus, BI and decision support significantly and simultaneously influence decision-making quality (Y). These findings highlight the essential role of BI and decision support in improving decision-making within higher education institutions.
Systematic Analysis of The Implementation of Problem Based Learning (PBL) and Project Based Learning (PjBL) Models in Science and Mathematics Education in Indonesia Ruruh Rachmawati; Bonita Ariestiani; Ayu Syafitri; Nurasiah Nurasiah; Syamsiah Syamsiah; Dewi Setyawati; Kiki Sukirman; Andri Suryana
Journal of Science and Science Education Vol. 7 No. 1 (2026)
Publisher : Pascasarjana, Mataram University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jossed.v7i1.13425

Abstract

This systematic literature review analyzes the implementation of Problem-Based Learning (PBL) and Project-Based Learning (PjBL) models in Science and Mathematics education within Indonesia. Using the Systematic Literature Review (SLR) method guided by PRISMA guidelines, this study examined 21 articles from Sinta-accredited journals (2020-2025). The findings indicate that the PBL model is highly effective in enhancing students' critical thinking skills, problem-solving abilities, and cognitive learning outcomes. Conversely, the PjBL model demonstrates a more significant impact on fostering creativity, collaboration, and 21st-century skills. A synthesis of the results reveals that both models support active and contextual learning, aligning with the principles of Indonesia's Merdeka Curriculum and the Pancasila Student Profile. This study concludes that PBL and PjBL offer distinct yet complementary benefits. For optimal implementation, teacher training and contextual adaptation are crucial. The integration of these models presents a strategic approach to advancing Science and Mathematics education by developing a generation that is intellectually competent, innovative, and collaborative
Co-Authors Agus Darmawan Andri Suryana Ayu Syafitri Bonita Ariestiani Dewi Setyawati Halimatusa&#039;diah Halimatusa&#039;diah Kiki Sukirman Nasrulloh Isnain Nurasiah Nurasiah Reko Syarif Hidayatullah Ruruh Rachmawati