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Inquiry research trends through bibliometric analysis (2020-2023) Lismaya, Lilis; Wiyanto , Wiyanto; Ridlo, Saiful
Biosfer: Jurnal Pendidikan Biologi Vol. 17 No. 1 (2024): Biosfer: Jurnal Pendidikan Biologi
Publisher : Universitas Negeri Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21009/biosferjpb.36161

Abstract

This article aims to analyze the trend of Inquiry research through bibliometrics in the Google schoolar database from 2020 to 2023. The article consists of a total of 993 articles, then sorted into 788 suitable articles and analyzed. The method used in this research is article analysis using bibliometrics with the following stages: keyword search, initial search results, refining search results, compiling initial data, and data analysis. The results show that publications in scientific articles regarding Inquiry vary every year. Then, the description in Education research trends produces seven clusters, namely science process skills, science teacher, argument driven inquiry, framework, experience, critical thinking skills, and senior high school. The findings of this study are expected to help other researchers who are interested in studying and researching related to Inquiry research trends and recommend directions for further research
Lilis Lismaya Lismaya, Lilis; Marwoto, Putut; Nugroho, Sunyoto Eko
Jurnal Penelitian Pendidikan IPA Vol 10 No 6 (2024): June
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v10i6.4255

Abstract

The aim of this research is to reduce household organic waste through the use of organic waste as a natural detector of formaldehyde content in food snacks. The organic waste used in this study was red garlic skins, dragon fruit skins and purple sweet potato skins. This research is an experimental research. The stages of the research started with the extraction of anthocyanins from the three organic wastes, direct detection of formalin and detection of food ingredients. The formalin concentrations tested were 0.5%, 1%, 2%, 5% and 25%. Detection ability can be seen from the color change between control and formalin treatment. Garlic skin produces a red extract, dragon fruit skin produces an orange extract, and purple sweet potato skin produces a deep red extract. Test results on 20 samples of food snacks around the campus using the three organic waste extracts proved that all samples contained formaldehyde in varying concentrations. The highest 50% formalin content was found in yellow noodles and meatballs. The conclusion is that purple beetle skin, dragonfruit skin, and red garlic skin can be used as natural detectors for formalin in campus snacks.
REVOLUTIONIZING BIOLOGY LEARNING THROUGH AR: THE CASE OF LEAFCAPTURE APPLICATION DEVELOPMENT Lilis Lismaya; Ilah Nurlaelah; Handayani Handayani
Indonesian Journal of Learning and Instruction Vol. 7 No. 1 (2024)
Publisher : Universitas Kuningan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25134/ijli.v7i1.9603

Abstract

This study aims to produce learning media in the form of a Leafcapture Identification Application Based on Augmented Reality (AR) in plant morphology courses with accuracy, user interface, and good content. The research method used in this study is Research and Development (R&D) with the The ADDIE approach involves a systematic process for designing learning media. In the Analyze stage, the focus is on identifying the need for new learning media, specifically the Leafcapture Identification Application Based on AR, and assessing its feasibility and requirements. In the Design stage, activities include application design, interface design, 3D image creation, and marker design. The Development stage involves gathering relevant content, such as plant leaf images and names, and setting up the application interface. During Implementation, the developed media is used and evaluated by experts and users to assess its impact on learning quality. Media experts validated the product with a 75% approval rating, while subject matter experts found it 88.89% valid. Evaluation was conducted by surveying students in plant morphology courses, with results confirming the product's effectiveness. Through AR, students can directly engage with three-dimensional (3D) models of various parts of plants, such as roots, stems, leaves, flowers, and fruits. They can manipulate and examine each part more deeply, enhancing their understanding of the relationships between parts and the functions of each component. Additionally, AR makes learning plant morphology more engaging and lifelike.Keywords: Augmented Reality; biology; Leafcapture identification.