Article Per Year (5 Year)
p-Index From 2021 - 2026
0.408
P-Index
This Author published in this journals
All Journal REiD (Research and Evaluation in Education) DWIJA CENDEKIA: Jurnal Riset Pedagogik Psychology, Evaluation, and Technology in Educational Research
Alfred Irambona
Burundi University
Humanities Computer Science & IT Education Mathematics Social Sciences Other

Published : 3 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 3 Documents
Search

 1 
Authentic assessment: Evaluation and its application in science learning Maria Hanifah; Alfred Irambona
Psychology, Evaluation, and Technology in Educational Research Vol. 1 No. 2 (2019)
Publisher : Research and Social Study Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33292/petier.v1i2.4

Abstract

The research aims to reveal: (1) the suitability of the implementation of science authentic assessment in Kulonprogo Regency, and (2) the forms of science authentic assessment applied. The study was used the CIPP Stufflebeam evaluation model. The quantitative data were analyzed with T-score, while the qualitative data were analyzed by using Miles & Hubermen. The results of this research are as follows. (1) The implementation of science authentic assessment is wholly fairly effective be seen from T-score analysis 52.44 from the score extent 20-80. (2) The forms of science authentic assessment are practice, portfolio, teacher transcript journal, and daily test, whereas project activity, self assessment, and peer assessment are not done for the heat matter and its movement with T-score 45.14 wholly fairly effective from the score extent 20-80.
Plastic waste management using a Life Cycle Assessment (LCA) approach: A step toward improving sustainability literacy Siti Fatimah; Margareta Rahayuningsih; Aditya Marianti; Alfred Irambona
DWIJA CENDEKIA: Jurnal Riset Pedagogik Vol 8, No 2 (2024): September 2024
Publisher : Universitas Sebelas Maret

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/jdc.v8i2.86339

Abstract

Plastic waste has become a serious issue for the environment and health. This study aims to analyze the management of plastic waste using the LCA approach and its influence on sustainability literacy in science learning. The research utilizes a mixed-methods exploratory sequential design. It begins with qualitative data collection through observation, interviews, and documentation, followed by quantitative data collection through experimental design. Sustainability literacy is assessed using a Sustainability Literacy questionnaire. Data analysis techniques include data condensation, data display, and data verification. Hypothesis testing is conducted using t-tests. The analysis results suggest that the LCA approach can be an alternative to managing plastic waste. LCA provides a systematic process consisting of goal formulation, data inventory, impact assessment, and interpretation. Knowledge and understanding of plastic waste management are efforts to promote sustainability literacy among university students. The sustainability literacy profile of students is categorized as very good. In terms of t-test analysis results, the SSIBL model proves to influence students' sustainability literacy with a significance value of 0.042.
Stability of estimation item parameter in IRT dichotomy considering the number of participants Zulfa Safina Ibrahim; Heri Retnawati; Alfred Irambona; Beatriz Eugenia Orantes Pérez
REID (Research and Evaluation in Education) Vol. 10 No. 1 (2024)
Publisher : Graduate School of Universitas Negeri Yogyakarta & Himpunan Evaluasi Pendidikan Indonesia (HEPI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21831/reid.v10i1.73055

Abstract

This research is related to item response theory (IRT) which is needed to measure the goodness of a test set, while item parameter estimation is needed to determine the technical properties of a test item. Stability of item parameter estimation is conducted to determine the minimum sample that can be used to obtain good item parameter estimation results. The purpose of this study is to describe the effect of the number of test takers on the stability of item parameter estimation with the Bayes method (expected a posteriori, EAP) on dichotomous data. This research is an exploratory descriptive research with a bootstrap approach using the EAP method. The EAP method is performed by modifying the likelihood and function to include prior information about the participant's 9 score. Bootstrapping on the original data is done to take bootstrap samples. with ten different sample sizes of 100, 150, 250, 300, 500, 700, 1,000, 1,500, 2,000, 2,500 were then replicated ten times and grain parameter estimation was performed. Each sample data with ten replications was calculated Root Mean Squared Difference (RMSD) value. The results showed that the 2PL model was chosen as the best model. The RMSD value obtained proves that many test participants affect the stability of item parameter estimation on dichotomous data with the 2PL model. The minimum sample to ensure the stability of item parameter estimates with the 2PL model is 1,000 test participants.
Co-Authors Aditya Marianti Beatriz Eugenia Orantes Pérez Heri Retnawati Margareta Rahayuningsih Nugroho Edi K Maria Hanifah Zulfa Safina Ibrahim