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Pengembangan Media Pembelajaran Berbasis Video Animasi dengan Model Pembelajaran Inkuiri Terbimbing untuk Meningkatkan Motivasi dan Hasil Belajar Peserta Didik Sya’bania, Nursina; Anwar, Muhammad; Wijaya, Muhammad
Chemistry Education Review (CER) Volume 4 Nomor 1 September 2020
Publisher : Program Pasca Sarjana UNM

This research is a study development that aims to develop an animated video-based learning media with guided inquiry learning models to increase students’ motivation and learning outcomes on chemical equilibrium materials that are valid, practical, and effective. The development model used in this study refers to the 4D development model, which consists of the defining stage, the design stage, the development stage, and the dissemination stage. The results of this study indicate that 1) the assessment of media validity by the media and material experts is in very valid category, 2) the responses of students and teachers to the learning media developed also received very high categories so that the media is stated as practical, 3) The learning motivation of the class that uses animation media (MA) is also higher than the class that doesn’t use animation media (TMA) with a value of 81.33 and 71.41. In the field test phase to 33 students of the class MA and 32 of the class TMA students of SMAN 11 Makassar obtained class completeness by 84.8% and 75% respectively. Based on Mann Whitney-U test obtained the significance of the p value is smaller than α (0.014 < 0.05), which means there are differences between the two groups significantly. The animated video-based learning media that had been developed with 4D model is valid, practical, and effective to be applied in learning.

AI Big Data System to Predict Air Quality for Environmental Toxicology Monitoring Jufriansah, Adi; Khusnani, Azmi; Pramudya, Yudhiakto; Sya’bania, Nursina; Leto, Kristina Theresia; Hikmatiar, Hamzarudin; Saputra, Sabarudin
Journal of Novel Engineering Science and Technology Vol. 2 No. 01 (2023): Journal of Novel Engineering Science and Technology
Publisher : The Indonesian Institute of Science and Technology Research

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56741/jnest.v2i01.314

Pollutants in the air have a detrimental effect on both human existence and the environment. Because it is closely linked to climate change and the effects of global warming, research on air quality is currently receiving attention from a variety of disciplines. The science of forecasting air quality has evolved over time, and the actions of different gases (hazardous elements) and other components directly affect the health of the ecosystem. This study aims to present the development of a prediction system based on artificial intelligence models using a database of air quality sensors.This study develops a prediction model using machine learning (ML) and a Decision Tree (DT) algorithm that can enable decision harmonization across different industries with high accuracy. Based on pollutant levels and the classification outcomes from each cluster's analysis, statistical forecasting findings with a model accuracy of 0.95 have been achieved. This may act as a guiding factor in the development of air quality policies that address global consequences, international rescue efforts, and the preservation of the gap in air quality index standardization.

Analisis Faktor Keterlambatan Membaca pada Siswa SD Kelas V : Studi Kasus Siswa SDN Wolonbue, Nusa Tenggara Timur Nurmawati; Sada, Mariana; Sya’bania, Nursina
Buletin Edukasi Indonesia Vol. 2 No. 03 (2023): Buletin Edukasi Indonesia
Publisher : The Indonesian Institute of Science and Technology Research

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56741/bei.v2i03.185

Tujuan penelitian ini untuk mengetahui faktor apa saja yang mempengaruhi faktor keterlambatan membaca siswa kelas tinggi. Metode penelitian yang digunakan dalam penelitian ini adalah kualitatif dengan pendekatan studi kasus. Pendekatan studi kasus dilakukan untuk mengetahui hasil yang lebih mendalam mengenai situasi atau makna suatu subyek yang diteliti. Berdasarkan hasil wawancara dengan beberap siswa kelas V yang mengalami kesulitan membaca, Guru kelas, dan orang tua siswa dapat diketahui bahwa keterlambatan membaca siswa kelas dipengaruhi oleh beberapa faktor. Faktor intelektual yang mencakup tingkat kecerdasan anak yaitu kemampuan siswa yang rendah di bandingkan dengan teman-temannya sehingga siswa tersebut lamban dalam membaca. Hal ini disebabkan oleh rendahnya minat baca siswa baik di sekolah maupun di rumah. Faktor lingkungan, ligkungan keluarga juga menjadi salah satu faktor yang sangat mempengaruhi kemampuan membaca siswa. Melihat latar belakang orang tua siswa yang hanya lulusan SD dan sulit membaca membuat siswa susah untuk belajar di rumah. Keadaan ekonomi keluarga yang rendah juga menjadi faktor penghambat membaca, karena orang tua akan sibuk bekerja untuk memenuhi kebutuhan hidup dan tidak memperhatikan perkembangan anak di sekolah. Sebagian besar orang tua siswa juga beranggapan bahwa jika anak mereka sudah belajar di sekolah maka di rumah anak tidak perlu untuk belajar. Faktor motivasi, motivasi orang tua terhadap siswa sangat kurang, orang tua tidak mendorong dan memberi semangat kepada anaknya untuk membaca.

The Effectiveness of Chatgpt in Completing Astronomy Lectures: Building Awareness of Its Use Hikmatiar, Hamzarudin; Sya’bania, Nursina; Jayadin, Jayadin; Kasman, Risqah Amaliah; Imranah, Imranah; Sahlan, Sahlan; Saputra, Sabarudin
Jurnal Pendidikan Fisika Vol 12, No 2 (2024): PENDIDIKAN FISIKA
Publisher : Universitas Muhammadiyah Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26618/jpf.v12i2.13587

The use of ChatGPT provides new opportunities for students to deepen their understanding of the course materials and overcome the obstacles they may encounter. The study of astronomy itself includes material that studies the universe, but students tend to minimize the related knowledge. The emergence of open AI products is considered a good solution to address the acceleration of specialized student learning in tasks. This research aims to find out whether ChatGPT has benefits for students in completing astronomy lecture assignments at the Muhammadiyah University of Maumere. This is seen from how often students use ChatGPT. The research method used is a mixed method that combines quantitative and qualitative analysis. Quantitative data is obtained from questionnaires which are presented in the form of numerical data, while qualitative data is additional information obtained through conversations between researchers and research sources. Data collection is carried out using an app that is shared with students through Google Forms after ChatGPT is applied to complete college tasks. This type of activity is considered to have excellent benefits for the completion of tasks in education. Based on the research results, it was found that 13 or 65% of the total respondents stated that ChatGPT was very good to use in completing tasks. Apart from that, using ChatGPT was also considered effective in completing astronomy lecture assignments because 50% of students stated that using ChatGPT was very effective in solving astronomy problems, while the other 50% chose only effective. Based on these findings, it is fundamental that ChatGPT has benefits for students to help solve lecture problems and can be a recommendation for other users provided they always pay attention to the ethics of its use.

The Effectiveness of Chatgpt in Completing Astronomy Lectures: Building Awareness of Its Use Hikmatiar, Hamzarudin; Sya’bania, Nursina; Jayadin, Jayadin; Kasman, Risqah Amaliah; Imranah, Imranah; Sahlan, Sahlan; Saputra, Sabarudin
Jurnal Pendidikan Fisika Vol. 12 No. 2 (2024): PENDIDIKAN FISIKA
Publisher : Universitas Muhammadiyah Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26618/jpf.v12i2.13587

The use of ChatGPT provides new opportunities for students to deepen their understanding of the course materials and overcome the obstacles they may encounter. The study of astronomy itself includes material that studies the universe, but students tend to minimize the related knowledge. The emergence of open AI products is considered a good solution to address the acceleration of specialized student learning in tasks. This research aims to find out whether ChatGPT has benefits for students in completing astronomy lecture assignments at the Muhammadiyah University of Maumere. This is seen from how often students use ChatGPT. The research method used is a mixed method that combines quantitative and qualitative analysis. Quantitative data is obtained from questionnaires which are presented in the form of numerical data, while qualitative data is additional information obtained through conversations between researchers and research sources. Data collection is carried out using an app that is shared with students through Google Forms after ChatGPT is applied to complete college tasks. This type of activity is considered to have excellent benefits for the completion of tasks in education. Based on the research results, it was found that 13 or 65% of the total respondents stated that ChatGPT was very good to use in completing tasks. Apart from that, using ChatGPT was also considered effective in completing astronomy lecture assignments because 50% of students stated that using ChatGPT was very effective in solving astronomy problems, while the other 50% chose only effective. Based on these findings, it is fundamental that ChatGPT has benefits for students to help solve lecture problems and can be a recommendation for other users provided they always pay attention to the ethics of its use.

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