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Electronic Portfolio Assessment Instruments in Improving Students' Creative Thinking Skills Rahmawati, T.; Mulyaningsih, T.; Nahadi, N.; Suhanda, H.; Lee, W. K.; Aziz, H. A.; Anwar, S.
Jurnal Pendidikan IPA Indonesia Vol 12, No 4 (2023): December 2023
Publisher : Program Studi Pendidikan IPA Fakultas Matematika dan Ilmu Pengetahuan Alam (FMIPA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/jpii.v12i4.45639

Abstract

The objective of the study is to determine the stage of the process of developing electronic portfolio assessment instruments and obtain a valid and reliable electronic portfolio assessment instrument that can be used as an alternative effective assessment in improving students’ creative thinking on redox reaction materials. The research method employed was Research and Development (RD) with a 4-D development model: define, design, develop, and disseminate. The data sources for this study were obtained from chemistry education lecturers, chemistry teachers, and eleventh-grade students in one of the high schools in Bandung. The instruments used in this study were interview guidelines, instrument content validation sheet, task assessment observation sheet, creative thinking skills assessment task and rubric, portfolio assessment rubric, pre-test and post-test questions and rubrics on chemical reaction equations that have tested for validity. The developed electronic portfolio assessment instrument was realized in a task and assessment rubric based on 21st-century creative thinking indicators. The results reveal that the developed electronic portfolio assessment instrument has good quality because it fulfils the valid requirements with a CVR value of 1.00 and fulfils the reliable requirements with a Cronbach Alpha value of 0.702-0.982. Electronic portfolios can be used as one of the assessment tools for science learning. The developed electronic portfolio assessment instrument may promote students’ creative thinking on redox reaction material based on the N-Gain 0.72 with the high category and has good effectiveness based on the N-Gain 0.61 with the medium category. Based on the category of mastery learning, the effectiveness is 9.66%.
Acid Rain And Well Water Acidification Rate In Industrial Area Sutanto, Sutanto; Darusman, Latifah K; Anwar, S.; J., Tania
Journal of Science Innovare Vol 7, No 1 (2024): Journal of Science Innovare, Volume 07 Number 01 2024
Publisher : Universitas Pakuan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33751/jsi.v7i1.10619

Abstract

In the area of Cibinong-Citeureup Bogor has many industries, dusty and there are has been acid rain. About 75.63 % people in this area take well water for drinking. It was studied impact of acid rain for well water degradation in order to know the trend and rate of well water pH change. Preliminary research was done in order to make sure the effect of acid rain to well water using soil column leaching simulation. The main research was done by pH monitoring of acid rain and well water in the specific location. The pH of acid rain was monitored in the first 30 minutes on 12 locations from the year of 1999 to 2009, and the well water pH was measured from the year of 1995 to 2009. The acidity (pH) was measured using pHmeter electronic. The rate of pH change was calculated by first order reaction. The result showed that the well water acidity has uptrend (the pH to be lower). The acid rain has a little impact to the acidity of well water (r = 0.68). The rate of acidity of well water has constant value, k = 0.004 year-1.
The Intersection of AI and Science Education in Indonesia: A Path Forward Harianti, H.; Kadarohman, A.; Anwar, S.
Journal of Science Education Research Vol. 9 No. 1 (2025): J. Sc. Edu. Research
Publisher : Universitas Negeri Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21831/jser.v9i1.74872

Abstract

ChatGPT's launch by the end of 2022 caused significant global disruption, particularly in education. ChatGPT acts as a computer capable of answering inquiries in multiple languages. The introduction of ChatGPT highlights the inevitable evolution of AI technology. Artificial intelligence (AI) is a rapidly emerging technical phenomenon and leading technology capable of functioning similarly to human intelligence. The study reviewed the literature semi-systematically. This approach searched for and overviewed the research area and the progress made. The first phase of this research was to formulate the research questions. The keywords were AI and science education. It was found that there are four categories for AI in educational institutions: University/ School Policies, Curriculum and Course Development, Pedagogical Innovations, and Professional Development with distance learning. The development of AI technology is inevitable in education. AI technology is not a threat if it can be integrated properly. This technology also applies to science education in Indonesia. Science education in Indonesia is often highlighted based on PISA results that do not meet global standards, so the existence of AI tools is an innovation in learning.
Keselarasan Penyediaan Nitrogen dari Pupuk Hijau dan Urea dengan Pertumbuhan Jagung pada Inceptisol Darmaga Wawan, ,; Sabiham, S.; Idris, K.; Djajakirana, G.; Anwar, S.
Jurnal Agronomi Indonesia (Indonesian Journal of Agronomy) Vol. 35 No. 3 (2007): Jurnal Agronomi Indonesia
Publisher : Indonesia Society of Agronomy (PERAGI) and Department of Agronomy and Horticulture, Faculty of Agriculture, IPB University, Bogor, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (128.549 KB) | DOI: 10.24831/jai.v35i3.1326

Abstract

Increasing N use efficiency and decreasing N pollution can be achieved by synchronization between supplying pattern of N and crop N demand. Leaching-incubation experiment had been carried out for evaluating supplying pattern of N from 14 treatments of green manure (Flemingia and Gliricidia), urea and their combinations. Only 5 treatments of the split application of Gliricidia, urea and their combinations, and single application of combination of  urea and Gliricidia synchronize with corn N uptake model. These five fertilization treatments were further examined in the greenhouse and in the field experiment. The synchronization between supplying pattern of N and corn growth in treatment without leaching was resulted by application of urea at planting followed by Gliricidia at 3 weeks after planting (WAP) and urea at planting and 3 WAP, whereas in treatment with leaching were resulted by split application of Gliricidia at planting and 3 WAP, urea at planting followed by Gliricidia at 3 WAP, and single application of urea and Gliricidia at planting. Urea applied at planting followed by Gliricidia at 3 WAP resulted in the high production of seed dry-weigh  with low N inorganic leaching.   Key words: Synchronization, nitrogen, green manure, urea, corn