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Moh. Irma Sukarelawan
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INDONESIA
Indonesian Review of Physics (IRiP)
Published by Universitas Ahmad Dahlan
ISSN : 26213761     EISSN : 26212889     DOI : https://doi.org/10.12928/irip
Core Subject : Science, Education,
Astronomy Earth & Planetary Sciences Education Materials Science & Nanotechnology
This journal is continued version of Berkala Fisika Indonesia journal. The journal was published for the first time in 2008. The last published volume was 10 (1) 2018. The ISSN is 2085-0409 (printed version) and 2250-0465 (online version).
Arjuna Subject : Fisika dan Astronomi - Astronomi dan Astrofisika
Articles 134 Documents
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Cognitive Engagement and Creative Thinking: Intervention with Research-Based e-Learning and Students' Social Attitudes in Learning Physics at Public High School Santyasa, I Wayan; Suswandi, Iwan; Santyadiputra, Gede Saindra; Juniantari, Made
Indonesian Review of Physics Vol. 5 No. 2 (2022)
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/irip.v5i2.6084

Abstract

Physics learning in high school is closely related to students' social attitudes in conducting cognitive engagement to achieve creative thinking. This study aims to analyze students' cognitive engagement and creative thinking using research-based e-learning (RBeL) and directed learning (DeL) about students' social attitudes. The samples were randomly selected from 4 classes (two experimental and two control classes). This study used a post-test-only control group design. Data on social attitudes and cognitive engagement were collected using questionnaires, and data on creative thinking using essay tests. Data were analyzed using a two-way Manova and hypothesis testing using a significance level of 5%. The results showed significant differences in the cognitive engagement of students who were intervened using RBeL and DeL. Intervention using RBeL was more effective than DeL in achieving cognitive engagement. There is a significant difference between the creative thinking of students who are intervened using RBeL and DeL. The RBeL intervention was more effective than DeL in achieving creative thinking. There are similarities in cognitive engagement and creative thinking among students with HSA and LSA. There was no interaction between learning models and social attitudes regarding cognitive engagement and creative thinking in students. The achievement of cognitive involvement and creative thinking of 10th-grade students in learning physics is more effective using research-based e-learning models.
Build Students' Research Skills Through Collaborative Real-World Analysis-Based Learning Sinensis, Arini Rosa; Firdaus, Thoha; Saulon, Butch O
Indonesian Review of Physics Vol. 5 No. 2 (2022)
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/irip.v5i2.6488

Abstract

Research skills are one of the skills that need to be built for students to face the challenges of the 21st Century. Therefore, this study aims to build research skills through the Collaborative Real-World Analysis (CReW-A) learning model. This study uses the One-Shot Case Study design. Respondents came from 21 Physics Education students who were grouped into seven research groups. Research skills were observed using a 5-point Likert rating scale observation sheet. Students research skills were analyzed using Rasch modeling, the Wright map technique combined with the Logit Value of Person (LVP). After applying the Collaborative Real World Analysis (CReW-A) learning model for four weeks, students' research skills were well-developed in most research groups. So, the Collaborative Real World Analysis (CReW-A) learning model that has been implemented has been able to build the research skills of physical education students. Therefore, in the future, students can use these skills to innovate to face the challenges of the 21st Century.
Perception Scale of Online Learning in the Indonesian Context During the Covid-19 Pandemic: Psychometric Properties Based on the Rasch Model Nursulistyo, Eko; Indratno, Toni Kus; Dwiastuti, Ety; Arifiyanti, Fitria; Dina Puspitasari, Ariati; Abdullah, Nurul Syafiqah Yap binti; Sukarelawan, Moh. Irma
Indonesian Review of Physics Vol. 5 No. 2 (2022)
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/irip.v5i2.6544

Abstract

This study aims to evaluate the psychometric properties of students' perception scales about online learning during the Covid-19 pandemic in Indonesian culture. This study involved 176 students (Male = 54% and Female = 46%) at the junior and senior high school levels from public schools in Yogyakarta, Indonesia. The age of the respondents ranged from 11 to 17 years, with a mean of 13.5 years and a standard deviation of 1.4 years. The online learning perception scale adopts 16 items developed by Bhagat and colleagues. The psychometric properties of the scale were evaluated based on the reliability of the person and item, the suitability of the Rasch model, the functionality of using a 5-point rating scale, and its unidimensionality. The analysis results show that the scale has good consistency and performance in the Indonesian context. Sixteen items are a good fit for the model and are unidimensional. The 4-point Likert rating scale is more effective than the original 5-point rating scale. So, 16 items in POSTOL have adequate psychometric properties to be used on students in Indonesia.
Utilization of Seismic Data as a Tsunami Vulnerability Review Khusnani, Azmi; Jufriansah, Adi; Afriyanto, Mulya
Indonesian Review of Physics Vol. 5 No. 2 (2022)
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/irip.v5i2.6706

Abstract

This study aimed to analyze seismic data, which is then made into an infographic to map the level of tsunami hazard in the Sikka District. The research was carried out in Sikka District, East Nusa Tenggara, located between 121°55'40''-122°41'30'' east longitude and 08°22'-08°50' south latitude. The data source comes from the IRIS Earthquake Browser, and the analysis stage was carried out in two phases. The first analysis used seismic data analysis, and EQ Energy used IRIS (Incorporated Research Institutions for Seismology) data. Meanwhile, the second analysis maps the tsunami risk by determining the tsunami hazard in areas with the potential for a tsunami. Based on the analysis of seismicity data showed that Sikka District has the potential for an earthquake accompanied by a tsunami. In contrast, the results of the EQ Energy analysis caused by the December 14, 2021 earthquake were known as the value of Ehf = 6.46 × 1014 J  and EBB = 5.48 × 1015 J. The analysis of the level of tsunami susceptibility based on the tsunami run-up height in Sikka District showed that the northern coastal area of ​​Flores had various potentials, where the highest vulnerability level was in the Alok subdistrict and parts of Talibura. Meanwhile, the area with the lowest potential was the Kewapante subdistrict.
Students’ Computational Thinking Skills In Physics Learning: A Case study of Kinematic Concepts Handayani, Rif'ati Dina; Lesmono, Albertus Djoko; Prastowo, Sri Handono Budi; Supriadi, Bambang; Mutia Dewi, Nila
Indonesian Review of Physics Vol. 6 No. 1 (2023)
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/irip.v6i1.6464

Abstract

Physics learning provides a context for future careers in fostering ability in high-end logic with the 21st learning goals. Applying computational thinking in schools is challenging and requires systemic transformation and teacher attention. This study aims to investigate the computational thinking of students in physics learning. This study used exploratory qualitative research. Data were gathered through observation, interviews, and portfolio documents. The data are analyzed through six stages: preparing and organizing, exploring, building descriptions, representing the findings, interpreting the results, and validating the accuracy. The result indicated four primary computational thinking skills: decomposition, abstraction, simulation, and evaluation. The computational thinking skills in physics learning can develop students’ understanding and implementation of physics concepts based on data, not just mathematical formulas. Computational thinking in physics learning gives students the opportunity and space to explore and develop their ideas and logical reasoning more deeply in problem-defining, solutions, and evaluation. Students use their logical reasoning to solve the problem precisely. This study is expected to be used as a basis and support for physics teachers to integrate computational thinking into their learning classroom.
Estimation of Flores Sea Aftershock Rupture Data Based on AI Jufriansah, Adi; Khusnani, Azmi; Pramudya, Yudhiakto; Afriyanto, Mulya
Indonesian Review of Physics Vol. 6 No. 1 (2023)
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/irip.v6i1.6705

Abstract

The earthquake catalog notes that there have been earthquakes with Mw > 7 that hit the Flores area, three of which occurred in the Flores Sea in 1992, 2015, and 2021. Revealed that the seismic activity of Eastern Indonesia is thought to be influenced by the isolated thrust fault segment of the island of Flores and the island of Wetar. The study of the rising fault segment on Flores Island and Wetar Island helps in further understanding the fault behavior, earthquake pattern, and seismic risk in the Flores Sea region. In earthquakes with giant magneto, an aftershock can occur due to the interaction of ground movements. This research analyzes and compares the data from the evaluation of the classification algorithm and the regression algorithm. The initial stages of this research include requesting IRIS DMC Web Service data. The data is then subjected to a cleaning process to obtain the expected feature extraction. The next stage is to perform the clustering process. This stage is carried out to label dependent data by adding new features as data clusters. The following procedure divides the validation value, which consists of training and test data. The estimation results show that the classification algorithm's evaluation value is better than that of the regression algorithm. The evaluation value of several algorithms indicates this, with an accuracy rate between 80% and 100%.
Seawater Lamp: Utilization of Seawater as an Alternative Energy Source to Generate Electricity Kadir, Muh. Ridwan; Arsyad, Nurul Afiqah; Alaydrus, Syarifah Nuraeni; Puspita, Wenny; Sahrul, Sahrul; Agriawan, Muhammad Nurkhalis; Hamzah, Hardi
Indonesian Review of Physics Vol. 6 No. 1 (2023)
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/irip.v6i1.7070

Abstract

Fishermen are the main livelihood for coastal communities in West Sulawesi. In fishing activities, especially at night, fishermen use lights to attract fish for a greater chance of catching fish. However, fishermen need a supply of electricity to turn on their lights when at sea. Fishermen usually use batteries. This is a significant problem for fishermen because batteries require a relatively high operational level. Researchers found the idea by developing a battery replacement tool to reduce high operating costs. This study aims to utilize seawater as an alternative energy source to overcome the problem of high operational costs for fishermen. The tool developed in this study uses two electrodes (Zn and Cu) placed vertically in a container and then filled with seawater. The two electrodes are connected in series, producing a high output voltage to light an LED. After the initial measurement, the resulting output voltage is 5V and can turn on the LED with a bright enough light. In periodic measurements for 96 hours with data collection every 4 hours, the voltage, current, and power do not decrease significantly, so the seawater lamp is suitable for coastal communities and fishermen's use as lighting when going to sea at night. Series and parallel combinations must be developed to achieve higher voltage and power values ​​and obtain brighter light. The results of this research can be an alternative and renewable energy source that can be widely used.
A Preliminary Study on Promoting Contextual Teaching and Learning Using Smart Water Quality Sensors Sulisworo, Dwi; Fitrianawati, Meita; Subrata, Arsyad Cahya; Kalid, Khairul Shafee; Wan Ahmad, Wan Fatimah
Indonesian Review of Physics Vol. 6 No. 1 (2023)
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/irip.v6i1.8115

Abstract

Building awareness among students on the issues of natural environmental phenomena has always been a challenge due to the difference in location between the student and the observed phenomena. The issues of the natural environment have been a part of the curriculum in elementary schools. One of the lessons taught on the natural environment in elementary schools is related to the water conditions in various areas filled with water, such as ponds, rivers, lakes, etc. Currently, learning in the natural environment is based on text, images, and videos, and learning activities using real-time data are still rare. This study presents the development of an IoT-based Smart Water Quality application prototype. The prototype consists of conductivity, pH, oxygen levels, salinity, and turbidity sensors. The IoT prototype can also be used to automatically monitor fish, shrimp, and other species in aquaculture ponds. Using the IoT-based Smart Water Quality application prototype, teachers can enhance students' higher-order thinking skills by designing learning activities using real-time data to identify, compare, and classify various concepts or phenomena.
Home Made Four-Point Probe: Case Studies of the Wobbly A and B Probes Toifur, Moh.; Sukarelawan, Moh. Irma; Okimustava, Okimustava
Indonesian Review of Physics Vol. 6 No. 1 (2023)
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/irip.v6i1.8362

Abstract

A simulation on the effect of probe deviation on sheet resistivity value (Rs) of Cu/Ni thin film was carried out in a home-made four-point probe (HM-FPP) type. This began by solving the Rs formula for normal probes, and then for wobbly probe when it was either A, or both A and B. The formula was implemented on a thin layer of Cu/Ni, which was a low temperature sensor material obtained from electrodeposition for 60s assisted by a 200G magnetic field at a current density of 0.07A/mm2. An electric current of 0.20118A was flown from probe A to D in order to produce a potential difference between probe C and D of 0.0005 volts. Furthermore, the distance between the probes was 5 mm and the deviation of each probe A and B were simulated from -0.5 mm to 0.5 mm. The maximum allowable limit for the relative error of Rs or SRs is 5%. The results showed that the ideal Rs value was 0.113 ohm/sq. Furthermore, for HM-FPP in which the wobbly probe only A, there is no problem encountered with the variation of the deviation because all SRs are less than 5%. For wobbly probes A and B, if they are on the same side of the center point of each probe, the maximum allowable deviation is 0.3 mm. The SRs for this case were 4.6%. However, if they are on different sides of the center point of each probe, the maximum allowable deviation is 0.1 mm with SRs of 2.9%. With these results, HM-FPP craftsmen must be more careful in making the size of the probe hole.
A Monte Carlo Density Distribution Model Study to Analyze Galaxy Structure, Mass Distribution, and Dark Matter Phenomena Nasution, Budiman; Siagian , Ruben Cornelius; Ritonga, Winsyahputra; Alfaris, Lulut; Muhammad, Aldi Cahya; Nurahman, Arip
Indonesian Review of Physics Vol. 6 No. 1 (2023)
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/irip.v6i1.8240

Abstract

This research uses the Monte Carlo density distribution model to study the structure and mass distribution of galaxies and the dark matter phenomenon. Through computer simulations, the research developed a mathematical model with parameters such as rho0, rc, beta, and others, to describe the structure and mass distribution of galaxies. The results show that the model can reproduce various galaxy structures, including groups, clusters and filaments, and influence the behavior and characteristics of individual galaxies. This research provides a deeper understanding of dark matter and its impact on the evolution of the universe. It has implications for improving our understanding of dark matter and the use of Monte Carlo density distribution models to study galaxies. This study provides new insights into the evolution of galaxies and their relationship with dark matter in cosmology. Using both physics and mathematical concepts, this research helps to understand the phenomenon of dark matter and the structure of galaxies, and provides a basis for further research on dark matter and galaxy evolution.

Page 12 of 14 | Total Record : 134

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