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All Journal Research on Instrumentation Jurnal Penelitian Pembelajaran Fisika
Fatni Mufit
Department of Physics, Universitas Negeri Padang, Padang, Indonesia

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Practicality of Electronic Assessment to Assess Student Critical Thinking Ability on Circular Motion Material Nuri Yuliani; Fatni Mufit; Festiyed Festiyed; Emiliannur Emiliannur
Jurnal Penelitian Pembelajaran Fisika Vol. 12 No. 1 (2026): JPPF (Jurnal Penelitian Pembelajaran Fisika)
Publisher : Universitas Negeri Padang in collaboration with Association of Mathematics and Natural Sciences Institution for Education of Teaching Staff Indonesia (AMLI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/jppf.v12i1.35

Abstract

This study is motivated by the importance of critical thinking skills as essential 21st-century competencies that need to be effectively trained and assessed in physics learning, particularly in circular motion material. However, existing assessments are still limited, less interactive, lack contextual representation of real phenomena, and do not provide optimal feedback to measure students’ critical thinking abilities. Therefore, this study aims to determine the practicality of an electronic assessment developed to assess students’ critical thinking skills on circular motion material. The assessment instrument was developed using Wizer.me and Google Sites platforms by integrating critical thinking indicators proposed by Ennis. This research employed the Development Research method using the Plomp development model combined with Tessmer’s formative evaluation, which includes self-evaluation, one-to-one evaluation, and small group evaluation stages. Data were collected through a practicality questionnaire and analyzed using quantitative descriptive methods. The results showed that in the one-to-one evaluation stage, the average practicality score was 81% based on students’ responses and 92% based on teachers’ responses, both categorized as very practical. In the small group evaluation stage, the average score was 88%, also categorized as very practical. These findings indicate that the developed electronic assessment is easy to use, engaging, efficient, and beneficial in helping teachers assess students’ critical thinking abilities. Therefore, this electronic assessment is feasible to be used as an alternative assessment tool in physics learning.
An IoT-Enabled Tomato Sorting System with Dual Opposing Ultrasonic Sensors and Multispectral Color Detection for Five-Class Nurahmadani; Asrizal; Fatni Mufit
Research on Instrumentation Vol. 3 No. 1 (2026): Research on Instrumentation
Publisher : RESSTECH

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.66926/rins.2026.1.31

Abstract

Tomato sorting plays an important role in maintaining crop quality, especially in terms of ripeness and size, which affect market value. Tomato sorting is generally still done manually, which is time-consuming, labor-intensive, and often results in misclassification. To address this issue, this study aims to design an automatic tomato sorting device using a TCS34725 color sensor and an ultrasonic sensor integrated with the Internet of Things (IoT) using ESP32 as a remote monitoring system. The research method used is research engineering, which includes hardware and software design. The hardware consists of a DC motor to drive the conveyor, a PCA9685 module to control four servos, a TCS34725 sensor to detect RGB values, and two opposing ultrasonic sensors to measure diameter. The software was built using Arduino IDE, with Blynk IoT integration as a medium for monitoring RGB values, diameter, category, and number of sorting results. The system was developed to classify tomatoes into five categories, namely large ripe, small ripe, large semi-ripe, small semi-ripe, and mixed unripe. Test results show that the sorting tool is capable of classifying ripeness levels based on RGB values and diameter with an average accuracy of 90% to 99% and an average error of less than 10%. Sorting data can be monitored remotely via Blynk, and the system can still operate offline without an internet connection. Thus, this tomato sorting tool is expected to facilitate the community, especially farmers, in the process of sorting tomatoes more accurately and efficiently.
Co-Authors Asrizal Emiliannur Emiliannur Festiyed Festiyed Nurahmadani Nuri Yuliani