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All Journal Tadris: Jurnal keguruan dan Ilmu Tarbiyah Jurnal Inovasi Pendidikan IPA IJID (International Journal on Informatics for Development) Jurnal Pendidikan Sains Indonesia (Indonesian Journal of Science Education) Jurnal Pendidikan IPA Indonesia
Madnasri, Sutikno
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Agriculture, Biological Sciences & Forestry Computer Science & IT Education Mathematics

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Feature Selection Method to Improve the Accuracy of Diabetes Mellitus Detection Instrument Wulandari, Sari Ayu; Madnasri, Sutikno; Pramitasari, Ratih; Susilo, Susilo
IJID (International Journal on Informatics for Development) Vol. 9 No. 2 (2020): IJID December
Publisher : Faculty of Science and Technology, UIN Sunan Kalijaga Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14421/ijid.2020.09203

Abstract

The need for aroma recognition devices or often known as enose (electronic nose), is increasing. In the health field, enose can detect early diabetes mellitus (DM) type 2 from the aroma of urine. Enose is an aroma recognition tool that uses a pattern recognition algorithm to recognize the urine aroma of diabetics based on input signals from an array of gas sensors. The need for portable enose devices is increasing due to the increasing need for real-time needs. Enose devices have an enormous impact on the choice of the gas sensor Array in the enose. This article discusses the effect of the number of sensor arrays used on the recognition results. Enose uses a maximum of 4 sensors, with a maximum feature matrix. After that, the feature matrix enters the PCA (Principal Component Analysis) feature extraction and clustering using the FCM (Fuzzy C Means) method. The number of sensors indicates the number of features. Enose using method for feature selection, it’s a variation from 4 sensors, where experiment 1 uses 4 sensors, experiment 2 uses a variation of 3 sensors and experiment 3 uses a variation of 2 sensors. Especially for sensors 3 and 4 using feature extraction method, PCA (Principal Component Analysis), to reduce features to only 2 best features. As for the variation of 2 sensors use primer feature matrix. After feature selection, the number of features is 2 out of 11 variations. Next, do the grouping using the FCM (Fuzzy C Means) method. The results show that using two sensors has a high accuracy rate of 92.5%.
Bibliometric Analysis of Ocean Literacy Trends in Science Education Research (2003-2023) Dewi, Tisrin Maulina; Indriyanti, Dyah Rini; Madnasri, Sutikno; Sanusi, Rahmat
Tadris: Jurnal Keguruan dan Ilmu Tarbiyah Vol 9 No 1 (2024): Tadris: Jurnal Keguruan dan Ilmu Tarbiyah
Publisher : Universitas Islam Negeri Raden Intan Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24042/tadris.v9i1.20104

Abstract

Studies on ocean literacy in science education have gained increasing attention from scholars in recent years. To provide an overall understanding of these scientific contributions, a bibliometric analysis was conducted on 117 journal articles collected from the Scopus database. The analysis was carried out using Biblioshiny and VosViewer tools to investigate trends and patterns in the field of ocean literacy within science education. The results revealed that publications on ocean literacy in science education have increased exponentially, with an annual growth rate of 0.86%. Key terms related to ocean literacy in science education include education, literacy, oceanography, climate change, teaching, learning, ocean literacy, and students. Emerging study topics include sustainable development, citizen science, marine environment, communication, and environmental education. The findings provide an overview for science educators to develop research studies on ocean literacy and present a valuable framework for continuous research in this area. This study highlights aspects of ocean literacy that have not been extensively explored and can serve as a valuable resource for researchers, educators, and stakeholders engaged in the sustainable conservation of the ocean in the future.
Research Trend of 21st Century Skills in Science Education Through Bibliometrics Mulyani*, Asep; Indriyanti, Dyah Rini; Madnasri, Sutikno
Jurnal Pendidikan Sains Indonesia Vol 11, No 4 (2023): OCTOBER 2023
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24815/jpsi.v11i4.32527

Abstract

Science learning plays an important role in facilitating the development of 21st century skills. Scholars have paid much attention to the topic in their research activities to gain a comprehensive picture of its role in science education. This study aims to provide an overview of research trends on 21st century skills, especially in science education, through a search for articles that have been published since 2000-2022. The articles consisted of 740 articles derived from the scopus and google scholar databases through searches using the publish or perish search engine. Bibliometric network mapping using visualization of similarities. This bibliometric research is based on stages based on the preferred reporting items for systematic reviews and meta-analyses and network meta-analyses method or abbreviated as preferred reporting items for systematic reviews and meta-analyses. The results showed that 21st century skills research in recent years has increased and occurs at various levels of education and scientific discipline areas and uses a variety of research methods. The findings are expected to provide an overview for other researchers regarding 21st century skills including the number of publications, country of origin, type of publications, research methods, research subjects, types of instruments used, disciplinary fields (science, chemistry, physics, and biology), and learning interventions
Analysis of Items for Measuring Technological Literacy Using the Rasch Model Jumini, Sri; Madnasri, Sutikno; Cahyono, Edy; Md Nadrah, Yatim; Hamzah, H; Fatiatun, F
Jurnal Pendidikan IPA Indonesia Vol. 13 No. 2 (2024): June 2024
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/04k5q459

Abstract

This research aims to describe the results of the analysis of the quality of the test items for technological literacy skills using the Rasch model from the aspects of validity, reliability, and level of difficulty of the questions. This research uses a descriptive quantitative approach, with construction design and validation. Data was obtained through a test method in the form of 15 multiple-choice questions and a questionnaire with 40 questions. The test was carried out on 6th-semester physics students with an integrated science course totaling 30 students. Data analysis was carried out by describing the results of data processing using the Rasch Model with Winsteps software. The research results showed that the quality of the items on the instrument measuring technological literacy in the validity aspect contained 7 valid questions, and 6 invalid questions regarding knowledge. Meanwhile, 36 questions about attitude measurement were valid and 4 questions were invalid. In the reliability aspect for knowledge questions, the reliability item value is 0.93 in the very good category. Meanwhile, in the attitude questionnaire, the item reliability value was 0.98 in the special category. In terms of the level of difficulty of the questions, for knowledge questions, there are 2 easy questions, 5 medium, 5 difficult, and 3 very difficult. In the very difficult question category, only students with high abilities can answer. For attitude questions, there are 7 easy questions, 14 medium, 9 difficult, and 10 very difficult questions. It can be concluded that this technological literacy test item is suitable for use in assessing technological literacy competency so that it can contribute to measuring technological literacy which has not been done much.
What is the Image of Microscale Chemistry Research for Chemistry Teaching in 2013-2023? Hidayah, Fitria Fatichatul; Indriyanti, Dyah Rini; Madnasri, Sutikno
Jurnal Inovasi Pendidikan IPA Vol. 10 No. 1: April 2024
Publisher : Faculty of Mathematics and Natural Sciences, Universitas Negeri Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21831/jipi.v10i1.68835

Abstract

This research aims to reveal the distribution of microscale chemistry research related to publication output, document sources, microscale chemistry publishing countries; countries of correspondent authors on microscale chemistry; number of annual distribution of publication affiliations of microscale chemistry; distribution of microscale chemistry publication sources; the most relevant author in microscale chemistry publications; visualization of microscale chemistry research topics and trends. The method used is a bibliometric study sourced from the scopus.com database. Data were collected through searching publications with the keyword "microscale and chemistry" in the title, abstract, or keywords determined by the author, limited to the last 10 years (2013-2023), and managed and analyzed using Software R with Biblioshiny. The results show that there is a 10-year limitation, 196 publications were obtained. The top country to publish it is the USA. The country with the most correspondent authors of a single type is the USA. The distribution analysis result shows the research topic produces data on 1000 items with 19 clusters, with the most frequently used keywords being "microscale lab", "chemistry", and "green chemistry". The existence of microscale chemistry can make chemistry practicum activities easier, providing an alternative to chemistry practicum for those who are hampered by laboratory problems.
Research Trends in Ethno-STEAM-PjBL and Religion Integration oriented Educational Sustainable Development in Science Learning through Bibliometric Analysis Sahrir*, Dede Cahyati; Madnasri, Sutikno; Indriyanti, Dyah Rini; Sapitri, Reni
Jurnal Pendidikan Sains Indonesia Vol 12, No 2 (2024): APRIL 2024
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24815/jpsi.v12i2.36084

Abstract

Science learning in the 21st century must provide a set of skills contained in 6c: creativity and innovation, communication, critical thinking and problem solving, collaboration, computational thinking and compassion. The problem studied in this literature review is how research on science, technology, religion and educational sustainable development (ESD) is oriented in science learning and how the bibliometric network and research trends in learning research are. An article search using Publish or Perish software was carried out on October 24 2020. The resulting data was metadata extracted from google scholar and Scopus via API key, with the keywords science learning, STEM, STEM-Religion, PjBl, ESD from 2018-2023. The results obtained were 495 articles that were successfully downloaded along with their metadata which was saved in RIS and CSV formats. The data obtained does not include theses, books, proceedings, modules, theses and reports. The VOS viewer supports three types of visualizations: network, overlay, and density. Meanwhile, visualization with biblioshiny includes the distribution of publications based on year, affiliation, and most cited sources on the integration of STEM, religion, PjBL and ESD as well as topics that are trending and relevant for further research. The results of the analysis show that research trends in 2023 related to the topics of STEM, religion, PjBL and ESD are that each topic is researched individually and not many have integrated them. A topic that is less researched is the integration of STEM or PjBL with religion and there is not much ESD orientation in science learning
Co-Authors Dyah Rini Indriyanti Edy Cahyono Fatiatun, F Fitria Fatichatul Hidayah Hamzah, H Md Nadrah, Yatim Mulyani*, Asep Pramitasari, Ratih Sahrir*, Dede Cahyati Sanusi, Rahmat Sapitri, Reni Sari Ayu Wulandari Sri Jumini Susilo Susilo Tisrin Maulina Dewi, Tisrin Maulina