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Integrated Science Education Journal
Published by Cahaya Ilmu Cendekia Publisher
ISSN : 27163725     EISSN : 27161609     DOI : https://doi.org/10.37251/isej
Core Subject : Education, Social,
Education Social Sciences
Covers all the Integrated Science Education Journal (ISEJ) at the level of primary, secondary, senior, and higher education. The goal of this journal is to bring together researchers and practitioners from academia and industry to focus on Educational advancements and establishing new collaborations in these areas. Original research papers state-of-the-art reviews are invited for publication in all areas of Integrated Science Education Journal (ISEJ). Topics of Interest include, but are not limited to the following: Science Education Literacy Ethoscience-Based Learning Collaborative & Interactive In Science Learning Learning Analysis for Science Education Science Education Management Systems STEM (Science, Technology, Engineering, Mathematics) in Science Education Virtual Based Learning In The Laboratory E-Learning And Multimedia For Science Education Science Teacher Evaluation Curriculum, Research, and Development for Science Education Web-Based Tools For Science Education Learning/Teaching Methodologies and Assessment in Science Education Global Issues in Science Education Games and Simulations in Science Education Mobile/Ubiquitous Computing In Science Education
Arjuna Subject : Ilmu Sosial - Pendidikan
Articles 165 Documents
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A Deep Learning–Based Electronic Module for Global Warming: An Analysis of Validity and Readability to Support Critical Thinking Skills Razak, Ziyana Walidah; Muzzazinah, Muzzazinah; Indrowati, Meti
Integrated Science Education Journal Vol 7 No 1 (2026): January
Publisher : Cahaya Ilmu Cendekia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37251/isej.v7i1.2480

Abstract

Purpose of the study: This study aims to analyze the validity and readability of a deep learning–based electronic module (e-module) designed to improve students’ critical thinking skills on global warming material. Methodology: The research employed a Research and Development (R&D) approach using the ADDIE model, consisting of analysis, design, development, implementation, and evaluation stages. The developed e-module integrates deep learning principles—mindful, meaningful, and joyful learning—into a Google Sites platform and is enriched with multimedia elements, including videos, animations, interactive worksheets, Padlet, and a carbon footprint calculator. The validity of the e-module was evaluated by six experts, including media experts, subject matter experts, and linguists, using Aiken’s V formula. Main Findings: The results showed that all validation aspects achieved Aiken’s V values ranging from 0.83 to 1.00, exceeding the minimum validity threshold (V > 0.78), indicating that the e-module is highly valid. Readability testing involved ten junior high school students and two science teachers and was analyzed using percentage-based criteria. The readability scores ranged from 88% to 100%, categorized as excellent across content, format, presentation, and language aspects. These findings indicate that the deep learning–based e-module is not only valid but also highly readable and user-friendly. Novelty/Originality of this study: The developed e-module has strong potential to be implemented as an innovative digital teaching material to support science learning and foster students’ critical thinking skills, particularly in addressing contextual and global environmental issues such as global warming.
The Effect of Fear of Missing Out on Phubbing Behavior: Self-Control as a Moderating Variable among Indonesian Science Students Prakoso, Emannuel Realeno Isyaalma Wahyu; Ayriza, Yulia
Integrated Science Education Journal Vol 7 No 1 (2026): January
Publisher : Cahaya Ilmu Cendekia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37251/isej.v7i1.2486

Abstract

Purpose of the study: The purpose of this study is to examine the effect of Fear of Missing Out (FOMO) on phubbing behavior among Indonesian science students and to investigate whether self-control plays a moderating role in the relationship between FOMO and phubbing behavior. Methodology: This study uses a quantitative correlational approach with a survey. Data were collected from 402 Indonesian science students aged 19–38 years across 28 regions. The instruments included the Fear of Missing Out Scale, the Phubbing Behavior Scale, and the Self-Control Scale. Data were analyzed using moderation analysis with statistical software. Main Findings: The results showed that Fear of Missing Out (FOMO) had a positive and significant effect on phubbing behavior (β = 0.655, p = 0.001). Self-control also demonstrated a significant direct effect on phubbing behavior (β = 0.279, p = 0.005). However, the interaction between FOMO and self-control was not statistically significant (β = −0.005, p = 0.098), indicating that self-control did not moderate the relationship between FOMO and phubbing behavior among students. Novelty/Originality of this study: This study contributes novel empirical evidence by testing self-control as a moderator in the relationship between FOMO and phubbing behavior in a large and diverse Indonesian science student sample. The findings highlight the limitation of trait-based self-control measures and suggest the need to conceptualize self-control as a situational or media-related state.
Evaluation of the Effectiveness of PWM and MPPT Controllers in Improving the Performance of Off-Grid Solar Power Plants in NFT Hydroponic Systems Wibowo, Tegar Satrio; Kusban, Muhammad
Integrated Science Education Journal Vol 7 No 1 (2026): January
Publisher : Cahaya Ilmu Cendekia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37251/isej.v7i1.2526

Abstract

Purpose of the study: The decreasing availability of agricultural land and the growing demand for sustainable food production have encouraged the adoption of hydroponic cultivation systems supported by renewable energy sources. In off-grid Nutrient Film Technique (NFT) hydroponic systems, the reliability of electrical power—particularly for continuous pump operation—is critical for plant growth. Methodology: A quantitative experimental approach was employed using a 50 Wp solar panel, a 12 V 10 Ah battery, and a 12 W DC water pump operating under identical system configurations. Electrical parameters, including charging voltage, current, and power, were measured during daylight hours, while nighttime pump operating duration was used as a functional performance indicator. Main Findings: The results demonstrate that the MPPT controller consistently produced higher and more stable charging power (up to 13.05 W) compared to the PWM controller (approximately 12 W). This improved charging performance translated into longer nighttime pump operation, with MPPT sustaining operation for up to 11 hours 40 minutes, whereas PWM supported only 9 hours 30 minutes to 10 hours 15 minutes. The findings confirm that MPPT controllers are more effective in optimizing solar energy utilization and enhancing battery endurance in real-world hydroponic applications. Novelty/Originality of this study: The novelty of this study lies in its integration of electrical performance analysis with practical operational outcomes, offering applied insights for the design of reliable and sustainable solar-powered hydroponic systems, particularly in regions with limited grid access.
The Evolution of Scientific Literacy Research in Science Education: A Bibliometric Analysis of Trends, Themes, and Collaboration (2016-2025) Saputra, Ahmad; Wilujeng, Insih; Wiyarsi, Antuni
Integrated Science Education Journal Vol 7 No 1 (2026): January
Publisher : Cahaya Ilmu Cendekia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37251/isej.v7i1.2532

Abstract

Purpose of the study: This study aims to map the development of scientific literacy research within the field of science education by examining publication trends, influential contributors, thematic structures, and collaboration patterns based on Scopus-indexed literature published between 2016 and 2025. Methodology: A bibliometric analysis was conducted using the Scopus database. Relevant journal and review articles were retrieved using the keywords “scientific literacy” and “science education.” Bibliographic data were analyzed and visualized using the Bibliometrix package (R software) to examine publication growth, source impact, thematic evolution, and collaboration networks. Main Findings: The results reveal a steady increase in research output on scientific literacy in science education over the past decade, with contributions concentrated among a limited number of authors, journals, institutions, and countries. Core research themes include scientific literacy, science education, and nature of science, while emerging topics such as misinformation, climate literacy, digital literacy, and citizenship have gained prominence in recent years. Collaboration patterns indicate stable yet selective networks at both author and country levels. Novelty/Originality of this study: This study provides a comprehensive decade-long bibliometric mapping that integrates trends, contributor impact, thematic structures, and collaboration patterns in scientific literacy research within science education. The findings offer an updated multidimensional overview of the field, support clearer positioning of future research agendas, and highlight underexplored themes and opportunities for broader international collaboration.
Cooling Media–Driven Shift in Dominant Machining Mechanisms: A Taguchi-Based Optimization of Surface Roughness in CNC Milling of S45C Steel Faing, Fatullah; Yudo, Eko; Kurniawan, Zaldy
Integrated Science Education Journal Vol 7 No 1 (2026): January
Publisher : Cahaya Ilmu Cendekia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37251/isej.v7i1.2643

Abstract

Purpose of the study: Is to optimize the surface roughness in CNC milling of S45C steel using two types of cooling media: Dromus and radiator water. Methodology: This study employed the Taguchi experimental design method to compare cooling media. Three main machining parameters, namely spindle speed, depth of cut, and feed rate, were examined at three levels using a Taguchi L9 orthogonal array. In addition, two different cooling media, namely radiator water and Dromus, were applied to investigate their effects on surface integrity. Surface roughness values ​​were measured using a standard surface roughness tester and analyzed using the Signal-to-Noise (S/N) ratio, with the results supported by Analysis of Variance (ANOVA). Main Findings: The results demonstrate that cooling media play a decisive role not only in reducing surface roughness but also in shifting the dominant machining parameter. Under radiator water cooling, spindle speed was the most influential factor, contributing 45.67% to surface roughness variation. In contrast, when Dromus was applied, depth of cut became the dominant parameter with a contribution of 63.40%. Dromus consistently produced lower surface roughness values and higher S/N ratios, indicating improved thermal control and process stability. The optimal machining condition was identified at a spindle speed of 1910 rpm, a depth of cut of 0.2 mm, and a feed rate of 330 mm/min. Novelty/Originality of this study: The novelty of this study lies in revealing how cooling media fundamentally alter surface formation mechanisms and parameter dominance, offering new insights for adaptive and efficient CNC milling optimization strategies.
Advancing Brackish Water Aquaculture: Salinity Optimization for Superior Hatching and Survival of Tilapia (Oreochromis niloticus) Razak, Nurul Fasihah; Thammachot, Nasaporn; Santiag, Cecilia S
Integrated Science Education Journal Vol 7 No 2 (2026): March
Publisher : Cahaya Ilmu Cendekia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37251/isej.v7i2.2136

Abstract

Purpose of the study: The purpose of this study is to determine the effects of different salinity levels on the hatching success and early survival of Nile tilapia (Oreochromis niloticus) and to identify the optimal salinity range for improving seed quality in brackish-water aquaculture. Methodology: This study used a Completely Randomized Design with four salinity treatments. Incubation utilized fiberglass tanks (100 L), a Milwaukee MA887 refractometer, Hanna HI98107 pH meter, Lutron DO-5509 DO meter, and digital thermometers. Fertile eggs from the Kunti strain broodstock were acclimated and incubated. Data were analyzed using Shapiro–Wilk, Levene, One-Way ANOVA, LSD/Tukey tests in SPSS 26. Main Findings: Shapiro–Wilk and Levene tests confirmed that the data were normal and homogeneous. One-Way ANOVA showed significant effects of salinity on hatching rate and survival. The 10 ppt treatment produced the highest hatchability and larval survival, significantly outperforming the 0,5, and 15 ppt groups. Post-hoc LSD identified 10 ppt as the optimum level. Overall, moderate salinity consistently yielded the best early-performance outcomes for Oreochromis niloticus larvae. Novelty/Originality of this study: This study provides new insights by identifying the optimal salinity range for maximizing hatchability and early larval survival of Oreochromis niloticus using controlled embryonic incubation. Unlike previous works, it integrates precise salinity treatments, standardized hatchery instrumentation, and rigorous statistical testing to define an evidence-based salinity benchmark. The findings advance seed-production strategies for brackish-water aquaculture systems.
From Variables to Conclusions: Analysis Three Indicators of Science Process Skills in High School Physics Learning Pramitha, Sarah; Darmaji, Darmaji; Kurniawan, Dwi Agus
Integrated Science Education Journal Vol 7 No 2 (2026): March
Publisher : Cahaya Ilmu Cendekia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37251/isej.v7i2.2308

Abstract

Purpose of the study: This study aims to analyze the development of Science Process Skills (SPS) in high school physics learning through a systematic review of international research published between 2017 and 2025. Methodology: This study employed a Systematic Literature Review (SLR) design guided by the PRISMA. Data were collected through a structured literature search of two international academic databases, Taylor & Francis Online and SpringerLink. Using purposive sampling based on predefined inclusion and exclusion criteria, a total of 30 peer-reviewed journal articles were selected for analysis from an initial pool of 300 identified records. Data were analyzed using qualitative thematic analysis to identify research trends, dominant SPS indicators, and instructional approaches applied in high school physics education. Main Findings: The synthesis reveals that inquiry-based learning, project-based learning, and virtual laboratory approaches are the most consistently reported strategies for enhancing students’ science process skills. Among the three SPS indicators, identifying variables and analyzing data are most frequently emphasized, while drawing conclusions remains less explicitly developed. Strengthening SPS through these approaches improves students’ scientific reasoning, experimental accuracy, learning engagement, and motivation in physics learning. Novelty/Originality of this study: This study provides an updated and systematic synthesis of global research on science process skills development in physics education up to 2025. By mapping instructional strategies and SPS indicators across international contexts, this review offers new conceptual insights into how inquiry-based and technology-supported learning can foster sustainable scientific thinking and support students’ readiness to meet 21st-century learning demands.
Development of Scientific Literacy Skills Test Instruments in Elementary School: Analysis of The Rasch Model Familia, Milan Nur; Haerani, Rosita Putri Rahmi; Suhartini, Erna
Integrated Science Education Journal Vol 7 No 2 (2026): March
Publisher : Cahaya Ilmu Cendekia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37251/isej.v7i2.2383

Abstract

Purpose of the study: This study aims to develop and evaluate a context-based scientific literacy assessment instrument on the topic of global warming for sixth-grade elementary school students, employing the Rasch model to examine its validity, reliability, item difficult levels, and Differential Item Functioning (DIF). Methodology: The research design followed a systematic instrument development procedure supported by Rasch model analysis. The instrument comprised 20 multiple-choice items based on the OECD scientific literacy framework and was piloted with 26 sixth-grade students. Data were analyzed using Ministep to examine validity, reliability, item difficult, and Differential Item Functioning (DIF). Main Findings: The findings show that most items satisfied the validity criteria based on Outfit MNSQ, ZSTD and PTM Corr indices. Item difficulty levels were proportionally distributed from very easy to very difficult. Reliability analysis yielded a person reliability of 0.70, an item reliability of 0.72, and a Cronbach’s alpha of 0.78. DIF analysis indicated that all items were free from gender bias. As a pilot study with a limited sample from one school, these results represent preliminary evidence rather than as a final validation of the instrument. Novelty/Originality of this study: This study aims to develop and evaluate a scientific literacy test specifically designed for elementary school students on the topic of global warming using Rasch analysis, an area that remains limited in prior research. The instrument integrates real-life contextual situations aligned with current curriculum demands and has the potential to strengthen scientific literacy assessment practices at the elementary education level.
Integrating Augmented Reality into the FERA (Focus-Explore-Reflect-Apply) Learning Model to Improve Students’ Conceptual Understanding of Atomic Theory Pramana, Arjuna; Rahmadani, Agung; Nurlaili, Nurlaili; Khoirunnisa, Fitriah
Integrated Science Education Journal Vol 7 No 2 (2026): March
Publisher : Cahaya Ilmu Cendekia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37251/isej.v7i2.2669

Abstract

Purpose of the study: This study aims to examine the effectiveness of the FERA (Focus-Explore-Reflect-Apply) learning model integrated with Augmented Reality (AR) in improving students' conceptual understanding of atomic theory. Methodology: This was a pre-experimental study employing a one-group pretest–posttest design. The sample was 32 tenth-grade students selected through cluster random sampling from ten classes in the public high school in East Kalimantan. The instruments consisted of essay-based pretest and posttest questions, teacher and student observation sheets, and AR-integrated reading materials. The data were analyzed by using descriptive statistics, normality test, Wilcoxon Signed Rank Test, normalized gain (N-Gain), and effect size (r). Main Findings: The results indicated a statistically significant improvement in students’ conceptual understanding after the intervention. The average N-Gain score was 0.67 (moderate category). Meanwhile, the effect size (r = 0.88) showed a large effect. The greatest improvement was found in the classification indicator, whereas the application indicator demonstrated relatively lower gains. Overall, the integration of FERA and AR effectively improved conceptual understanding of atomic theory. Novelty/Originality of this study: The novelty of this study lies in systematically embedding augmented reality within the structured stages of the FERA (Focus-Explore-Reflect-Apply) learning model to improve the students’ conceptual understanding of atomic theory. Unlike previous studies that often employ augmented reality as a supplementary visualization tool, this study integrated AR into a coherent pedagogical framework, aligning interactive 3D representations with specific cognitive processes in each instructional stage.
Enhancing Field Activity Reporting through a Real-Time Telegram Chatbot Integrated with the Google Sheets API Nabila, Khansa; Abdulmajid, Nuur Wachid
Integrated Science Education Journal Vol 7 No 2 (2026): March
Publisher : Cahaya Ilmu Cendekia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37251/isej.v7i2.2682

Abstract

Purpose of the study: This study aims to design and develop a Telegram chatbot integrated with the Google Sheets API as a smart evidence reporting solution to improve the efficiency, accuracy, and timeliness of field activity reporting. Methodology: This study employed the Design Thinking approach as a user-centered system development method, consisting of five stages: empathize, define, ideate, prototype, and test. Data were collected through observations and interviews with staff involved in the field activity. A Telegram chatbot prototype was developed using the Telegram Bot API and integrated with Google Sheets through Google Apps Script. System evaluation was conducted using Black Box Testing to assess functionality and User Acceptance Testing (UAT) to measure user perception and acceptance. Main Findings: The results show that the developed chatbot system functions effectively as a smart evidence reporting tool. The integration enables real-time, automated, and structured storage of field activity data in Google Sheets. Black Box Testing confirmed that all system functions operated as expected, while User Acceptance Testing indicated a high level of user satisfaction, with an acceptance rate of 88%. The chatbot successfully supports fast data input, reduces reporting errors, and improves operational efficiency during field activities. Novelty/Originality of this study: The novelty of this study lies in the use of a widely adopted messaging platform as the primary interface for structured field activity reporting. By leveraging Telegram as a conversational interface and integrating it directly with cloud-based data storage, this study presents a lightweight, low-cost, and easily deployable reporting solution.

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