cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
Didit Budi Nugroho
Contact Email
didit.budinugroho@staff.uksw.edu
Phone
-
Journal Mail Official
ijosse@adm.uksw.edu
Editorial Address
Fakultas Sains dan Matematika, Universitas Kristen Satya Wacana, Jl. Diponegoro 52-60, Salatiga 50711, Jawa Tengah, Indonesia
Location
Kota salatiga,
Jawa tengah
INDONESIA
Journal of Science and Science Education
Published by Universitas Kristen Satya Wacana
ISSN : -     EISSN : 25983830     DOI : 10.24246
Core Subject : Science, Education,
Biochemistry, Genetics & Molecular Biology Chemistry Computer Science & IT Mathematics Physics
The Journal of Science & Science Education (JoSSE) publishes academic articles of conceptual, experimental, philosophical, theoretical and applied results, and reviews in the field of mathematics and natural sciences from the following subject areas: - Biology & Biology Education - Chemistry & Chemistry Education - Physics & Physics Education - Mathematics & Mathematics Education - Statistics - Computer Science.
Arjuna Subject : Umum - Umum
Articles 35 Documents
 1   2   3   4 
Effects of 3-Dimensional Computer Simulation Secondary School Students’ Academic Achievement in Chemistry Iyabode Nike Ojelade; C G Ekpo; Busayo Gbemisola Aregbesola
Journal of Science and Science Education Vol 5 No 2 (2021): JoSSE Vol. 5 No. 2 (November 2021)
Publisher : Faculty of Science and Mathematics, Universitas Kristen Satya Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24246/josse.v5i2p18-25

Abstract

The study investigated the effect of 3-Dimensional Computer Simulation on Secondary School Students’ Academic Achievement in Chemistry, Ibadan Oyo State. Two research questions and two hypotheses were raised to guide the study. The study adopted pre-test, post-test non-randomized control group design quasi experimental design. The total population of the study comprised of all the 70,843 SSII chemistry students in Ibadan, Oyo State. A simple random sampling technique, using balloting without replacement was used to select two intact classes from the forty-two public secondary schools of mixed gender in the two Local Government Areas. The two schools selected constituted 127 students, 62 students (37 males and 25 females and convention group comprised of 65 students (35 male and 30 female). Two instruments were used to collect data in the study: Chemistry Achievement Test (CAT) and Chemistry Retention Test (CRT) with the reliability coefficients of 0.86 and 0.87 respectively using Kuder Richardson 21 (KR-21). Data were analyzed using mean and standard deviation were used to answer the research questions while t-Test was used to test the null hypotheses. Findings revealed that there was significant difference in the mean achievement score of secondary school students taught chemistry using 3-D computer simulation and their counterparts in control group. There was no significant difference in the mean achievement score of male and female students taught chemistry using 3D-computer simulation. These implied that 3-D computer simulation can be used to enhance students’ academic achievement in chemistry. It was therefore recommended among others that 3-D computer simulation strategy (3-DCS) was found effective in improving students’ academic achievement. Therefore. It can be recommended that curriculum planner can integrate this strategy as one of the strategies recommended for use by chemistry teachers in the curriculum.
Comparison between Multiple Linear Regression Method and K-Nearest Neighbor Method for Regression on Iris Data Adi Setiawan
Journal of Science and Science Education Vol 5 No 2 (2021): JoSSE Vol. 5 No. 2 (November 2021)
Publisher : Faculty of Science and Mathematics, Universitas Kristen Satya Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24246/josse.v5i2p26-35

Abstract

This study aims to determine the statistics used in regression models such as RMSE, MAPE, MAE and R2 using the KNN method for regression. The measure of the goodness of the method used is MAPE. The data used is iris data which has been used by many people as an example of data. Variations in the proportion of test data were carried out by 10%, 20%, 30% and 40%. In the proportion of test data of 20%, successively obtained the results that MAPE for case 1, case 2 and case 3 is 5.885 %, 7.778%, 6.979% while in case 4 is 19.341%. As a result, it is obtained that predictions using the KNN method successfully predict/forecast with highly accurate forecasting in case 1, case 2 and case 3 while in case 4 the KNN method predicts with good forecasting.
Realized Volatility Forecasting for AI-Mining Sensor Data Using the Multi Layer Perceptron Method Obed Christian Dimitrio; Didit Budi Nugroho; Hanna Arini Parhusip; Atyanta Nika Rukmasari
Journal of Science and Science Education Vol 5 No 2 (2021): JoSSE Vol. 5 No. 2 (November 2021)
Publisher : Faculty of Science and Mathematics, Universitas Kristen Satya Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24246/josse.v5i2p36 - 43

Abstract

This study aims to predict the Realized Volatility (RV) value from AI-Mining sensor data for the period 23 May to 6 June 2022 by using the Multi Layer Preceptron (MLP) method. MLP is the simplest method of artificial neural network. Based on the results obtained after doing MLP with the Python language on Google Colab, the predicted RV value for each data shows a movement in value that is almost similar to the original RV value. The Root Mean Squares Error (RMSE) value for each data prediction is relatively small, which indicates that the MLP method provide accurate prediction on the use of the AI-Mining sensor data to forecast RV.
The Effectiveness of Peer-Collaboration Learning Strategy and 21st Century Skill Knowledge on Pre-Service Teachers’ Academic Achievement in Integrated Science in Nigerian Colleges of Education Samuel Olalekan Oyasola
Journal of Science and Science Education Vol 6 No 1 (2022): JoSSE Vol. 6 No. 1 (May 2022)
Publisher : Faculty of Science and Mathematics, Universitas Kristen Satya Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24246/josse.v6i1p14-22

Abstract

This study examined the effectiveness of peer-collaboration learning strategy and 21st century skill knowledge on pre-service teachers’ academic achievement in integrated science in Nigerian colleges of education. This research employed non-equivalent group pre-test-post-test quasi experimental design. The sample for this study was 80 integrated science pre-service teachers from two colleges of education selected for the study. The instrument used for data collection was Integrated Science Achievement Test (ISAT). One research question and two null hypothesis were formulated were designed to guide the study. Descriptive statistics of means and standard deviation were used to answer all the research questions. The results of the study showed that, peer collaboration learning strategy enhanced 21st century skills pre-service teachers’ and performance in Integrated Science better than conventional method. Integrated science lecturer should not only use peer collaborative strategy to teach the students the subject matter but should also allow them to interact with one another, so that they (students) can take charge of how they can learn. This can foster confidence in the students and enhance their achievement in integrated science.
Diversity of Arbuscular Mycorrhizal Fungi (AMF) in Rhizosphere of Some Economic and Medicinal Crops in SEAMEO BIOTROP, Bogor, West Java Henokh Christian Prasgi; Risa Rosita; Rizky Susanti; Ayu Paraswati Kusuma Dewi; Fransiscus Jason Wiguna; Novita Dwi Yanti; Sunardi Ikay; Lusiawati Dewi
Journal of Science and Science Education Vol. 6 No. 1 (2022): JoSSE Vol. 6 No. 1 (May 2022)
Publisher : Faculty of Science and Mathematics, Universitas Kristen Satya Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24246/josse.v6i1p1-13

Abstract

The diversity of terrestrial plants in Indonesia are very huge, including production crops such as palm oil (Elaeis sp.), teak (Tectona grandis L.), lemon (Citrus limon L.) and Aloe vera. The quality of production crops is influenced by the diversity of soil microorganisms, namely the Arbuscular Mycorrhizal Fungi (AMF). AMF plays an important role in the growth and development of the host plant. This study aims to determine the diversity of AMF in the rhizosphere of some production crops at SEAMEO BIOTROP, West Java. Research methods are soil sampling and preparation, soil sieving, AMF spore extraction and morphological identification. As a result, spore density tends to be uniform in all four plants (3 spores per 10 gram). The highest to lowest relative abundance percentage of spores on Glomus sp. (52.17%), Acaulospora sp. (34.79%) and Gigaspora sp. (13,04%). Soil, host plant and AMF factors affect the diversity of AMF.

Page 4 of 4 | Total Record : 35

 1   2   3   4 

Filter by Year

2017 2022


Reset
Filter By Issues
All Issue Vol. 6 No. 1 (2022): JoSSE Vol. 6 No. 1 (May 2022) Vol 6 No 1 (2022): JoSSE Vol. 6 No. 1 (May 2022) Vol 5 No 2 (2021): JoSSE Vol. 5 No. 2 (November 2021) Vol 5 No 1 (2021): JoSSE Vol. 5 No. 1 (May 2021) Vol 4 No 1 (2020): JoSSE Vol. 4 No. 1 (May 2020) Vol 3 No 1 (2019): JoSSE Vol. 3 No. 1 (May 2019) Vol 2 No 2 (2018): JoSSE Vol. 2 No. 2 (November 2018) Vol 2 No 1 (2018): JoSSE Vol. 2 No. 1 (May 2018) Vol 1 No 2 (2017): JoSSE Vol. 1 No. 2 (November 2017)