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All Journal Jurnal Penelitian Pendidikan IPA (JPPIPA) Dewantara Journal of Technology
Irsan Rahman
Universitas Negeri Gorontalo
Agriculture, Biological Sciences & Forestry Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Education Electrical & Electronics Engineering Materials Science & Nanotechnology Physics

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Analisis Motivasi dan Kemandirian Belajar Calon Guru Fisika dalam Eksperimen Fisika Dasar Berbasis Laboratorium Virtual Nurlina Nurlina; Aulia Rahmadhani; Irsan Rahman; Arie Arma Arsyad; Ummu Kalsum
Jurnal Penelitian Pendidikan IPA Vol 11 No 5 (2025): May
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v11i5.11117

Abstract

Virtual laboratories have emerged as innovative solutions in education, particularly in overcoming the limitations of physical laboratory infrastructure. In prospective physics teacher education, understanding how virtual laboratories influence motivation and self-regulated learning is crucial. This study aims to describe the motivation and self-regulated learning among prospective physics teachers participating in virtual laboratory-based fundamental physics experiments. A descriptive quantitative approach was employed, involving 27 prospective physics teachers at the Universitas Sulawesi Barat. Data were collected using a questionnaire adapted from the Motivated Strategies for Learning Questionnaire (MSLQ).  Results show that all items scored within the high category, with mean values ranging from 3.65 to 4.34 on a 5-point Likert scale, indicating generally high levels of motivation and self-regulated learning. However, one item (A5) indicated a relatively lower mean score, suggesting that some participants may be more extrinsically than intrinsically motivated. Additionally, most respondents perceived the virtual laboratory as moderately to highly helpful in understanding physics concepts. This study contributes to the development of technology-based learning strategies and emphasizes the importance of designing learning experiences that strengthen prospective teachers’ self-belief.  Further research should employ qualitative methods to explore the deeper learning experience of prospective physics teachers in virtual laboratories
Real-Time and Accurate pH Sensor Based on Internet of Things (IoT) Robin Ikano; Dewa Gede Eka Setiawan; Muhammad Yunus; Meilan Demulawa; Irsan Rahman
Dewantara Journal of Technology Vol. 5 No. 1 (2024)
Publisher : Akademi Teknologi Industri Dewantara Palopo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59563/djtech.v5i1.312

Abstract

One important parameter that needs to be considered in water quality is the acidity level (pH) in the water. This study aims to design and determine real-time and accurate pH sensor based on internet of thing (IoT). This system design uses an ESP32 microcontroller and The PH-4502C pH Meter Module sensor. The ESP32 can be connected to the IoT-based Blynk platform, allowing pH data to be monitored in real time via a smartphone. Testing of the IoT-based pH sensor was conducted to evaluate the system's real-time operation under varying distances. Meanwhile, the pH sensor's accuracy was determined by comparing its output with a digital pH meter using buffer solutions at different pH levels. The test results show that the time value required in each range is always constant, namely 1 s. This proves that IoT-based monitoring does not affect the range. Meanwhile, measurement of pH level was the average error value is 3.49%, and the sensor accuracy is 96.51%. These results indicate a low error rate, resulting in high accuracy. The sensor error value of 3.49% is lower than the specified error tolerance limit of <5%. This proves that the pH sensor, with an accuracy of 96.51%, is suitable and reliable for measuring pH in solutions.
Co-Authors Arie Arma Arsyad Aulia Rahmadhani Dewa Gede Eka Setiawan Meilan Demulawa Muhammad Yunus Nurlina Nurlina Robin Ikano Ummu Kalsum