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All Journal JPPPF (Jurnal Penelitian dan Pengembangan Pendidikan Fisika) International Journal of Research in Community Services Journal of Environment and Sustainability Education
Taufani, Muhammad Rizka
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Chemistry Economics, Econometrics & Finance Education Energy Engineering Environmental Science Physics Social Sciences Other

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Development of the Physics Practicum Apparatus based on Microcontroller: A Prototype Constructed from Misconceptions of Basic Kinematics Concepts Syamsiah, Endah Nur; Taufani, Muhammad Rizka; Aminudin, Adam Hadiana; Pamungkas, Rahadian Sri; Fadilla, Reno Muhammad; Nabilah, Fatih Najah
Jurnal Penelitian & Pengembangan Pendidikan Fisika Vol. 10 No. 2 (2024): JPPPF (Jurnal Penelitian dan Pengembangan Pendidikan Fisika), Volume 10 Issue
Publisher : Program Studi Pendidikan Fisika Universitas Negeri Jakarta, LPPM Universitas Negeri Jakarta, HFI Jakarta, HFI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21009/1.10213

Abstract

This research aims to develop a prototype of the P-PAM (Physics Practicum Apparatus based on Microcontroller), specifically designed to address misconceptions in basic kinematics. The method employed for the prototype development follows the ADPT model (Analysis, Design, Prototyping, and Testing). The misconceptions identified during the analysis process include: (1) If the object's position is in the positive coordinate, it indicates that the object is moving forward; (2) The acceleration of an object is proportional to its instantaneous velocity. The practicum apparatus designed to address Misconception 1 is intended to measure the distance of an object, with data processed using Arduino Uno and transmitted to a PC via Bluetooth. The distance data is then processed using Python to generate information regarding distance, velocity, and acceleration, which are displayed in graphs over time. The apparatus for addressing Misconception 2 presents initial and final velocity data, as well as the acceleration of an object rolling past two sensors. The prototype of the first practicum apparatus can generate real-time graphs of position versus time and speed versus time. The second apparatus prototype provides initial velocity, final velocity, and acceleration data. Additionally, the device can demonstrate uniform acceleration for different initial speeds, as the incline is kept constant. There are 7 out of 10 acceleration data that fall within the confidence interval  at the 96% confidence level. The prototype we created can present scientific facts from two misconceptions in basic kinematics material, in addition, our prototype can be used in learning that focuses on conceptual change.
Identification of Students’ Comprehension of Radiation Concept Using Rasch Analysis Bilqis, Ayesha; Nurhanivah, Devi; Ramdhani, Saumi Zikriani; Taufani, Muhammad Rizka; Aminudin, Adam Hadiana; Kuncoro, Alvina Kusumadewi; Syamsiah, Endah Nur; Ulya, Naily; Aningsih, Sri
International Journal of Research in Community Services Vol. 5 No. 3 (2024)
Publisher : Research Collaboration Community (Rescollacom)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46336/ijrcs.v5i3.713

Abstract

This community service was conducted using a survey method. The survey aimed to test the understanding of high school students regarding the dangers of radiation exposure from the surrounding environment. Participants in this activity were 48 students (35 science students and 13 social science students) from a high school in Majalaya, Bandung Regency. The instrument used was a two-tier diagnostic test consisting of 4 essay questions related to physics concepts concerning radiation exposure. The analysis of the test results was divided into two parts: conception analysis and Rasch analysis. The conception analysis was done by interpreting students' answers and categorizing them into five conception categories: Full Understanding (FU), Partial Understanding (PU), Misconception (MC), Not Understanding (NU), and No Coding (NC). This categorization was presented in percentage form. The Rasch analysis was conducted based on the distribution of students' answers and item bias detection to identify the spread of students' answers to each question item and the biases present. First, the conception analysis results showed that 53% of students were included in the FU category, while only 5% were in the Not Understanding (NU) category. This indicates that students' understanding of the dangers of radiation exposure is quite good, as more than half of the participants are in the FU category. Second, the Rasch analysis results based on the distribution of students' answers showed that more students could answer basic comprehension questions compared to classification and analysis-based questions. Additionally, the Rasch analysis results based on item bias detection indicated that there was no gender or academic major bias in the four question items.
Instrument for resonance accuracy and misconception analysis (IRAMA): Development to identify sound wave conceptions with rasch Aminudin, Adam Hadiana; Syamsiah, Endah Nur; Taufani, Muhammad Rizka; Prasetia, Yuda; Samsudin, Achmad; Zahran, Muhammad
Journal of Environment and Sustainability Education Vol. 4 No. 1 (2026)
Publisher : Education and Development Research

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62672/joease.v4i1.139

Abstract

The Instrument for Resonance Accuracy and Misconception Analysis (IRAMA) was developed to identify college students’ sound wave resonance conceptions with Rasch. The Identify, Design, Development, Evaluation (IDDE) was used with 30 participants (9 females and 21 males) from one of the universities in Bandung, and four experts (2 in physics and 2 in education) served as IRAMA validators. Rasch analysis used Minifac 4.4.0 (MF-RM) with the rater reliability of 0.75, Infit-MnSq values of 0.77–1.38, and Outfit-MnSq values are outside the ideal limits on item 5 (3.72) (the rest is ideal).  With Jamovi 2.7.2, we confirmed the presence of bias in one of the raters for item 5. The Ministep 5.10.1, based on conceptual categories, Full Understanding (FU), Partial Plus (PP), Partial Minus (PM), Don't Understand (DU), Misconception (MC), and Not Defined (ND). Meanwhile, identification for confidence is based on Full Confidence (FC), Partial Confidence (PC), Not Confidence (NC), and Not Defined (ND). The Cronbach Alpha reliability for conception (0.84), with the highest being in the PM category (27%), and the lowest is in the DU and ND categories (10%). For confidence, the Cronbach Alpha reliability (0.91), with the highest category is in FC (77%), and the lowest is in the ND category (6%). IRAMA is also free from bias towards gender for conception and confident answers (PROB>5% and meet the threshold DIF Contras). Thus, the IRAMA can be an instrument to identify resonance conceptions and, in the future, will be an tool in resonance Augmented Reality (AR) application.
Co-Authors Achmad Samsudin Aminudin, Adam Hadiana Aningsih, Sri Bilqis, Ayesha Fadilla, Reno Muhammad Kuncoro, Alvina Kusumadewi Nabilah, Fatih Najah Nurhanivah, Devi Pamungkas, Rahadian Sri Prasetia, Yuda Ramdhani, Saumi Zikriani Syamsiah, Endah Nur Ulya, Naily Zahran, Muhammad