Article Per Year (5 Year)
p-Index From 2021 - 2026
1.235
P-Index
This Author published in this journals
All Journal Indonesian Journal of Applied Science and Technology Indonesian Journal of Teacher Education
Baiq Anisya Nelahi Purnadya
University of Mataram
Agriculture, Biological Sciences & Forestry Computer Science & IT Education Engineering Languange, Linguistic, Communication & Media Public Health Social Sciences Other

Published : 7 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 7 Documents
Search

 1 
The Use of Generative AI in Designing Adaptive Digital Learning Materials: A Literature Review Baiq Anisya Nelahi Purnadya; Baiq Oriza Januarlinda; Nurul Asmaya Fitria Hasanah; Nina Nisrina; Gunawan Gunawan
Indonesian Journal of Applied Science and Technology Vol. 5 No. 2 (2024): Edisi Juli-Desember 2024
Publisher : Indonesian

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The development of generative Artificial Intelligence (AI) provides new opportunities in designing adaptive digital learning materials through automated content generation and personalized learning. This study aims to examine the roles, potentials, and challenges of generative AI in developing adaptive digital learning materials. The method used is a literature review of 15 scientific articles published between 2015-2024, retrieved from Google Scholar and Publish or Perish. The results indicate that generative AI supports automated content creation, personalization based on learners’ needs, and real-time material delivery. These capabilities enhance learning effectiveness, flexibility, and relevance. However, challenges remain, including teachers’ readiness, unequal access to technology, and the potential decline in students’ independent learning. Therefore, the integration of generative AI needs to be implemented carefully to optimally support adaptive digital learning.
Literature Review: The Effect of Virtual Laboratories on Students' Motivation and Learning Interest Baiq Oriza Januarlinda; Nurul Asmaya Fitria Hasanah; Baiq Anisya Nelahi Purnadya; Gunawan Gunawan
Indonesian Journal of Applied Science and Technology Vol. 5 No. 2 (2024): Edisi Juli-Desember 2024
Publisher : Indonesian

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

This systematic literature review aims to examine the effectiveness of virtual laboratory implementation in enhancing students’ motivation and interest in learning based on scientific articles published between 2015 and 2024. A total of 17 empirical studies were analyzed using a qualitative descriptive content analysis method. The articles were collected through a systematic search using the Publish or Perish application in the Google Scholar and OpenAlex databases with the keywords: “virtual laboratory,” “virtual lab,” “PhET simulation,” “learning motivation,” and “learning interest.” Most of the analyzed studies were conducted at the junior and senior high school levels (SMP and SMA). The results indicate that all analyzed studies (100%) reported a positive effect of virtual laboratories on students’ affective domains, reflected in increased motivation scores and learning interest. PhET Simulation emerged as the most widely used platform (52.94%), particularly in Physics topics such as Archimedes’ Law, Heat and Temperature, and Harmonic Motion. Publication trends showed a significant peak in 2022 (29.41%), corresponding to the accelerated adoption of digital learning technologies during the post-COVID-19 era. The findings suggest that the effectiveness of virtual laboratories is driven by dynamic visualization of abstract concepts, interactive feedback, and flexibility in conducting repeated experiments. Overall, the findings indicate that virtual laboratories are effective learning media for improving students’ motivation and interest, particularly at the junior and senior high school levels. Their effectiveness is further supported by the integration of appropriate instructional models and the teacher’s role as a facilitator.
The Role of Virtual Laboratories in Improving Students' Learning Motivation Baiq Anisya Nelahi Purnadya; Baiq Oriza Januarlinda; Nurul Asmaya Fitria Hasanah; Gunawan Gunawan
Indonesian Journal of Applied Science and Technology Vol. 4 No. 2 (2023): Edisi Juli-Desember 2023
Publisher : Indonesian

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Virtual laboratories have emerged as a pivotal innovation in modern science education, yet a synthesized understanding of their psychological impact remains limited. This study examines the role of virtual laboratories in enhancing student learning motivation using a systematic literature review approach. A total of 18 research articles published between 2014 and June 2023 were analyzed. The literature selection process followed rigorous identification, screening, eligibility, and inclusion stages based on predetermined criteria. Data were synthesized using a thematic analysis approach, categorizing the findings into three primary themes: learning motivation, student engagement, and conceptual understanding. The findings indicate that virtual laboratories significantly boost student learning motivation by providing interactive, flexible, and immersive learning experiences. Additionally, these digital platforms facilitate the visualization of abstract concepts, thereby fostering student participation and curiosity. Consequently, virtual laboratories serve as an effective and innovative tool capable of transforming contemporary science education.
Leveraging ChatGPT and Gemini to Support Teacher Creativity in Developing Digital Instructional Materials: A Literature Review Baiq Oriza Januarlinda; Nurul Asmaya Fitria Hasanah; Baiq Anisya Nelahi Purnadya; Gunawan Gunawan; Nina Nisrina
Indonesian Journal of Teacher Education Vol. 7 No. 1 (2026): Edisi Januari-Juni 2026
Publisher : Indonesian Publication Center

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.67434/ijte.v7i1.2472

Abstract

The rapid advancement of Large Language Models (LLMs), notably ChatGPT and Gemini, has significantly catalyzed educational innovation by enabling the rapid and adaptive creation of instructional content. This study analyzes the utilization of generative AI in bolstering teacher creativity for digital material development. Employing a narrative literature review approach, 17 relevant articles published between 2016 and 2025 were synthesized, sourced from Crossref, Google Scholar, and OpenAlex via the Publish or Perish application. The findings demonstrate that generative AI effectively assists teachers in designing learning media, instructional materials, and evaluation tools with greater efficiency. However, challenges such as infrastructure limitations, data validity concerns, and the imperative for human verification remain prevalent. The study concludes that integrating AI into content development must be accompanied by continuous digital literacy training and rigorous adherence to ethical standards.
The Utilization of Generative AI in Instructional Content Development: A Literature Review Nurul Asmaya Fitria Hasanah; Baiq Anisya Nelahi Purnadya; Baiq Oriza Januarlinda; Gunawan Gunawan; Nina Nisrina
Indonesian Journal of Applied Science and Technology Vol. 4 No. 2 (2023): Edisi Juli-Desember 2023
Publisher : Indonesian

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Generative AI has significant potential to assist educators in developing learning content more quickly, creatively, and adaptively. This study aims to analyze various research on the use of generative AI in educational content development. The method employed was a narrative literature review, with articles retrieved using the Publish or Perish application from the Crossref, Google Scholar, and OpenAlex databases, covering publications from 2014 to 2023. Based on the literature selection process, 19 relevant research articles were identified for analysis. The review findings indicate that generative AI can support teachers and lecturers in developing instructional media, preparing teaching materials, creating assessments, and producing digital learning content more efficiently. However, challenges remain, including limited technological literacy, unequal access to devices, and ethical concerns regarding AI use. In conclusion, this study highlights that the effective use of generative AI in educational content development should be accompanied by the enhancement of educators’ digital competencies and a strong understanding of the ethical aspects of technology use.
The Effect Of The Project-Based Learning Model On Students' Problem-Solving Skills: A Literature Review Baiq Anisya Nelahi Purnadya; Maria Anastasia Da Lopez
Indonesian Journal of Applied Science and Technology Vol. 4 No. 2 (2023): Edisi Juli-Desember 2023
Publisher : Indonesian

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Problem-solving ability is one of the essential competencies that students should develop in physics learning. However, many students still demonstrate low problem-solving skills, indicating the need for learning models that actively engage them in critical and systematic thinking. Project-Based Learning is considered one of the instructional models capable of addressing this need. This study aimed to analyze the effect of Project-Based Learning on students' problem-solving ability in physics through a literature review. The study employed a literature review method by analyzing ten research articles published between 2014 and 2023, which were selected from Google Scholar based on predetermined inclusion criteria. The findings indicate that all reviewed studies reported a positive effect of PjBL on students' problem-solving ability. The improvement was reflected in significant statistical test results, higher normalized gain (N-Gain) scores, and better average learning outcomes in experimental groups than in control groups. These findings suggest that PjBL facilitates students in identifying problems, connecting physics concepts, developing solution strategies, and evaluating solutions through project-based learning activities. Therefore, Project-Based Learning can be considered an effective instructional model for improving students' problem-solving ability in physics learning.
Analysis of The Effectiveness of Project-Based Learning Models on Students' Creativity in Physics Learning: A Systematic Literature Review Maria Anastasia Da Lopez; Baiq Anisya Nelahi Purnadya
Indonesian Journal of Applied Science and Technology Vol. 4 No. 2 (2023): Edisi Juli-Desember 2023
Publisher : Indonesian

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Creative thinking is an essential 21st-century competency. This Systematic Literature Review (SLR) using a descriptive method based on PRISMA 2020 guidelines aims to analyze the effectiveness of Project Based Learning (PjBL) on students' creativity in physics learning. Literature was retrieved via Google Scholar using Publish or Perish software covering 2014–2023 publications. Selection results identified 15 articles meeting inclusion criteria. Synthesis reveals that PjBL consistently exerts a high-category, significant positive effect, evidenced by an effect size reaching 1.308. Fluency showed the highest improvement, whereas originality remains the greatest challenge. PjBL achieves optimal effectiveness when synergized with STEM approaches and digital media (such as PhET Simulation and YouTube) as visual scaffolding for abstract concepts. In conclusion, PjBL effectively enhances motivation and creativity through real-product creation. This study recommends developing multimodal approaches within PjBL to address students' low originality scores identified across a decade of literature.
Co-Authors Baiq Oriza Januarlinda Gunawan Gunawan Maria Anastasia Da Lopez Nina Nisrina Nurul Asmaya Fitria Hasanah