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Current STEAM and Education Research
Published by PT Mitra Jurnal Indonesia
ISSN : -     EISSN : 30258529     DOI : https://doi.org/10.58797/cser
Core Subject : Science, Education, Art,
Arts Chemistry Computer Science & IT Education Physics
This journal serves as an interdisciplinary publication with the aim of promoting cutting-edge research in the fields of science, technology, engineering, art, mathematics, and education. With a focus on various disciplines, this journal provides a significant platform for researchers, scientists, and educators to share their latest findings in an effort to advance our understanding of various aspects of life. The journal, titled "Current STEAM and Education Research," presents articles that cover a wide range of topics, including innovations in science and technology, recent developments in engineering, creative explorations in the arts, mathematical problem-solving, as well as research and development in the field of education. The articles in this journal also support an educational approach centered on students and emphasize the application of STEAM (Science, Technology, Engineering, Art, and Mathematics) concepts in the learning process. This journal serves as a valuable resource for practitioners, policymakers, and academics who are interested in gaining insights across various fields of knowledge and understanding ways to improve education and society through research and development. With its interdisciplinary focus, this journal facilitates dialogue among different fields of study and encourages collaborations that can have a positive impact on global problem-solving.
Arjuna Subject : Ilmu Sosial - Pendidikan
Articles 56 Documents
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Educational Simulation of Hull Deflection in Ro-Ro Ferry Vessels: Analyzing Hydrostatic Pressure with Variations in Plate Thickness and Seawater Depth Istiqomah, Rika; Rozak, Dewi Nur Lathifa Abdul; Sitanggang, Renata Kantate Getsemani; Fatmawati, Alifah Widya
Current STEAM and Education Research Vol. 2 No. 3 (2024): Current STEAM and Education Research, Volume 2 Issue 3, December 2024
Publisher : MJI Publisher by PT Mitra Jurnal Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58797/cser.020305

Abstract

The construction system is one of the most considered aspects in designing a ship, as the strength of the structure is the most crucial element that ensures the safety of the crew, passengers, and cargo carried. The ship's construction design must be able to withstand various loads or forces, both from inside and outside the ship. The purpose of this study is to determine the deflection of the Ferry Ro-Ro hull due to hydrostatic pressure with variations in plate thickness and seawater depth. This research uses modeling of the Ro-Ro ferry plate deflection due to seawater hydrostatic pressure with the finite difference method. The simulation results show that increasing the plate thickness from 10.0 mm, 15.0 mm, 20.0 mm to 25.0 mm significantly reduces the hull deflection, with the maximum deflection from about 2400 mm decreasing to less than 500 mm. In addition, the water depth also affected the deflection, where an increase in depth from 5 m, 10 m, and 15 m, caused the maximum deflection to increase from about 150 mm to 450 mm. The deflection pattern is parabolic with the maximum deflection occurring at the center of the ship, as the largest hydrostatic pressure distribution is at the center of the ship.
Derivative Tracing: An Educational Numerical and Graphical Method for Visualizing Electromagnetic Wave Propagation Nath, Shottajit; Abdullah, Mahdi; Hossain, Mohd. Riyad
Current STEAM and Education Research Vol. 3 No. 3 (2025): Current STEAM and Education Research, Volume 3 Issue 3, December 2025
Publisher : MJI Publisher by PT Mitra Jurnal Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58797/cser.030301

Abstract

In this study, we present a Derivative Tracing method to strengthen students’ conceptual understanding of electromagnetic (EM) wave propagation directly from Maxwell’s equations. We aim to develop a graphical and numerical approach that lets students explore EM wave behavior on graph paper or with basic programming tools. We translate the abstract mathematical structure of Maxwell’s equations into visual and computational representations, bridging theoretical electromagnetics and classroom understanding. The method first rewrites Maxwell’s equations in a simplified spatial-derivative form. We then specify boundary conditions for the electric and magnetic fields. Next, a simple numerical scheme updates these fields over time to illustrate the mechanisms that drive EM wave propagation. Derivative Tracing matches the standard FDTD results within 5% while remaining much simpler and more classroom-friendly. Relative to conventional FDTD and FEM, it emphasizes conceptual clarity and educational accessibility, making it suitable for teaching electromagnetics in undergraduate laboratories. We further apply the approach to several scenarios, including wave propagation in transmission lines, lossy media, and vacuum. Overall, the method offers an accessible framework that supports deeper understanding of EM wave dynamics without advanced simulation software or high computational resources.
Artificial Neural Network-Based Classification of Water Quality Status in Ornamental Fish Farming Using IoT Sensor Data Aziezah, Nur; Sholihah, Walidatush; Marcelita, Faldiena; Novianty, Inna; Hendriana, Andri; Kusumanti, Ima
Current STEAM and Education Research Vol. 3 No. 3 (2025): Current STEAM and Education Research, Volume 3 Issue 3, December 2025
Publisher : MJI Publisher by PT Mitra Jurnal Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58797/cser.030302

Abstract

Water quality plays an important role in sustainable agriculture. Water quality also affects the quality and quantity of fishery production. In ornamental fish cultivation, water quality influences not only production, but also the shape and color of the fish. To achieve optimal results, water quality parameters need to be maintained. Manually monitoring water quality parameters faces many challenges such as being time-consuming and not providing real-time data. This study investigated the application of Artificial Neural Networks (ANNs) in classifying water quality status. This status is based on data collected using sensors in an Internet of Things (IoT)-based monitoring system. The dataset comprised five key parameters: pH, temperature, ammonia, total dissolved solids (TDS), and total suspended solids (TSS). This data was collected from aquariums cultivating the Denison barb (Sahyadria denisonii). Data preprocessing was performed using feature standardization. This aims to improve model performance. The ANN model was constructed with two hidden layers (32 and 16 neurons). This model was trained using the Adam optimizer, with categorical cross-entropy as the loss function. The dataset was divided into 80% for training and 20% for testing. The trained ANN model achieved an accuracy of 99.95%. It has low false-positive and false-negative rates. These results demonstrate the effectiveness of ANN in predicting water quality status using sensor-based data. This suggests its potential for real-time monitoring and decision-making support in small-scale ornamental fish aquaculture.
Wine Quality Analysis Using Newton Interpolation: Applying Computational Physics in the Food Industry Larasati, Shalom Maria; Miftahurrizki, Alfian; Syahputro, Athallah Dwi; Sihite, Reinal
Current STEAM and Education Research Vol. 3 No. 3 (2025): Current STEAM and Education Research, Volume 3 Issue 3, December 2025
Publisher : MJI Publisher by PT Mitra Jurnal Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58797/cser.030304

Abstract

This study aims to analyze wine quality based on computational physics using the Newton Interpolation method. This method is applied to estimate the quality value of wine based on certain values of variables such as sulphates, alcohol, citric acid, and the average of several physicochemical variables. Data were obtained from a red wine dataset commonly used in food product quality studies. Each variable was analyzed separately using strategically selected observation data points, then the interpolation value was calculated to predict the quality of wine at certain variable values. The interpolation results showed that the Newton method was able to produce quality value estimates that were consistent with data trends, such as quality predictions of 4.52 for sulphates = 0.61 and 2.97 for alcohol = 9.2. However, in some cases such as citric acid and the average of the variable, extreme fluctuations appeared in the high-degree divided difference values, indicating the potential for overfitting due to uneven data distribution or outliers. Nevertheless, the Newton interpolation method proved effective in providing initial estimates of wine quality, especially when data is limited.
Testing the Teman Ternak Website Using Black Box Testing with the Equivalence Partitioning Method Dermawan, Rival Fitrah; Radiansyah, Fahri; Aslam, Anargya Rabbani; Fadillah, Muhamad Mauladi; Wicaksono, Aditya; Mindara, Gema Parasti
Current STEAM and Education Research Vol. 3 No. 3 (2025): Current STEAM and Education Research, Volume 3 Issue 3, December 2025
Publisher : MJI Publisher by PT Mitra Jurnal Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58797/cser.030303

Abstract

Software testing is a crucial stage in the development cycle to ensure program functionality runs as expected and maintains good quality. This process aims to identify errors so they can be fixed before the software is released to users. One of the software objects of this research is the Teman Ternak website. Teman Ternak is a website-based digital platform that functions as telemedicine, designed to overcome distance and time barriers between farmers and veterinarians, providing a platform that allows farmers to obtain remote consultation services, including initial diagnosis and treatment for diseases affecting their livestock. Testing on this website was conducted using the Black Box Testing method by applying the Equivalence Partitions technique. The Black Box method is used to test website functionality from a user perspective without needing to know the internal code structure. Meanwhile, the Equivalence Partitions technique is a testing technique that focuses on designing test cases by grouping input data on each form on the Teman Ternak website. Input data is grouped into test classes (test cases) with expected results of valid or invalid values. The purpose of testing on the Teman Ternak website is to detect and minimize functional failures during implementation, so that errors found can be fixed more quickly and the website quality improves.
Visualization of the Relationship Between Magnitude and Depth of Earthquakes in Southern Indonesia Through Curve Interpolation Santoso, Naila Saifana; Inayah, Naya Ajeng; Kamilah, Siti Fitri; Aisyah, Siti Nur
Current STEAM and Education Research Vol. 3 No. 3 (2025): Current STEAM and Education Research, Volume 3 Issue 3, December 2025
Publisher : MJI Publisher by PT Mitra Jurnal Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58797/cser.030305

Abstract

Indonesia in the southern latitudes is one of the tectonically active regions that often experiences earthquakes due to plate subduction activity. This activity causes the accumulation of energy in the subduction zone that can be released at any time in the form of earthquakes with various levels of depth and strength. This study aims to visualize the relationship between depth and magnitude of earthquakes in the region using curve interpolation techniques. Earthquake data was obtained from the BMKG catalog over a period of time, covering a wide range of earthquake events with a fairly wide variation in magnitude and depth. Through this analysis, the general pattern of the relationship between the depth of the earthquake source and the resulting magnitude can be observed, which is then visualized to facilitate interpretation. The visualization results show that there are certain trends that indicate how changes in depth can affect earthquake strength, where earthquakes that occur at a certain depth do not show a tendency that results in greater or smaller magnitudes. This approach is expected to contribute to the understanding of the seismic characteristics of the region.

Page 6 of 6 | Total Record : 56

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