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Efektivitas Glukosa dan Sukrosa Terhadap Peak Expiratory Flow Rate (PEFR) dan Daya Tahan Kardiovaskular Arimbi Arimbi; Arifuddin Usman; Poppy Elisano Arfanda; Nur Fadly Alamsyah; Safaruddin Safaruddin
Seminar Nasional LP2M UNM SEMNAS 2019 : PROSIDING EDISI 1
Publisher : Seminar Nasional LP2M UNM

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (531.875 KB)

Abstract

This research to determine how the effect of glucose and sucrose on cardiovascular endurance and PEFR values and whether there is a difference in the effect of glucose and sucrose on cardio and PEFR endurance in the two groups of FIK UNM athletes. This type of research is a multigroup pretest-posttest design. The population of this study were 35 members of the FIK UNM futsal club, and the sample was 30 FIK UNM futsal athletes divided into 2 groups of 15 samples each, through a purposive random sampling technique. The results of this study showed that the mean VO2max in the group given sucrose before the test was 34.3 ml / kg / minute increasing in the post test by 39.4 ml / kg / minute while the mean VO2max in the group given glucose before the test was 35.8 ml / kg / minute decreasing in the post test it became 34.7 ml / kg / min, while the average PEFR in the group given sucrose before the test was 364 L / s increased in the post test by 416 L / s, while the average PEFR in the group given glucose before the test was 342 L / s sec also increased at the post test by 355.33 L / sec.
Integrasi Kecerdasan Buatan dalam Pembelajaran Digital Multimodal dan Adaptif: Sebuah Systematic Literature Review Reski Reski; Husnul Khotimah; Muhammad Alfian Solo; Abdul Hakim; Nurhikmah H; Safaruddin Safaruddin
SAP (Susunan Artikel Pendidikan) Vol. 10 No. 2 (2025): SAP
Publisher : Universitas Indraprasta PGRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30998/sap.v10i2.2017

Abstract

The development of Artificial Intelligence (AI) has made a significant contribution to innovations in digital learning. This study aims to analyze how AI is utilized to support the development of multimodal learning resources, interactive animations, and adaptive learning experiences for students. The method used is a Systematic Literature Review (SLR) based on the PRISMA 2020 guidelines. Data were collected from the Scopus database using a Boolean query that combined the keywords “AI” and “educational animation” for the years 2020–2025. Out of 166 articles found, only 11 met the inclusion criteria and were thematically analyzed. The results show that AI plays a crucial role in enriching digital learning strategies. Generative AI supports the creation of multimodal learning resources, deep learning promotes the development of interactive educational animations, and adaptive AI systems enable learning experiences responsive to individual student abilities. In conclusion, the application of AI enhances the effectiveness, interactivity, and personalization of digital learning, contributing to the formation of an innovative and learner-centered educational ecosystem.