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All Journal Media Elektrik Jurnal Pendidikan dan Profesi Keguruan
Ariani Amri
Politeknik Dewantara, Indonesia
Computer Science & IT Control & Systems Engineering Education Engineering Mathematics Other

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Technology-Based Adaptive Learning: A Case Study of Ltspice Implementation In The Basic Practice And Electrical Measurement Course Hamidah Hamris; Ariani Amri
Jurnal Pendidikan dan Profesi Keguruan Vol. 5 No. 1 (2025): Jurnal Pendidikan dan Profesi Keguruan
Publisher : Jurusan Pendidikan Teknik Elektro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59562/progresif.v5i1.9170

Abstract

This study employed a case study approach with a descriptive qualitative design to investigate the implementation of technology-based adaptive learning using LTSpice in the Basic Practice and Electrical Measurement course. The research involved 30 students from an experimental group and 30 students from a control group, with an intervention duration of eight weeks. Data were collected through problem-solving ability tests (pretest-posttest), participatory observations, semi-structured interviews, and questionnaires. Quantitative data were analyzed using independent t-tests and N-Gain analysis, while qualitative data underwent thematic analysis. Results showed a significant positive effect of adaptive learning with LTSpice on students' problem-solving capabilities. The experimental group's posttest scores (average 85.20) were significantly higher than the control group's (average 72.80). N-Gain analysis further indicated a high improvement category (average 0.71) for the experimental group, versus a medium category (average 0.30) for the control group. Qualitative findings highlighted improved student engagement, visualization of abstract concepts, independent learning, and positive perceptions from both lecturers and students. It is concluded that LTSpice serves as an effective complementary alternative for hands-on practice, integrating theory and practice for more adaptive and student-centered learning. This study provides strong empirical evidence that LTSpice-based adaptive learning enhances problem-solving capabilities in electrical engineering students, necessitating the development of quality simulation materials and interactive learning activities by lecturers.
Optimization of Environmental Conditions for Hydroponics Using Light and Temperature Sensors Based on IoT Ariani Amri; Baso Amir; Thitin Binalopa
Jurnal Media Elektrik Vol. 23 No. 1 (2025): MEDIA ELEKTRIK
Publisher : Jurusan Pendidikan Teknik Elektro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59562/metrik.v23i1.9850

Abstract

Precise environmental regulation is a critical component of hydroponic systems, particularly in urban agriculture, where land availability and resources are limited. This study aimed to examine the impact of an Internet of Things (IoT)-based hydroponic system with automated control of light intensity and temperature on the growth of Lactuca sativa (lettuce). A controlled experimental design was employed, involving 30 lettuce plants divided into control and experimental groups. Both groups were cultivated using a Nutrient Film Technique (NFT) system within a mini greenhouse over three weeks. Environmental parameters were recorded at 30-minute intervals using calibrated sensors, and plant growth was assessed by measuring stem height and leaf number. The results indicated growth increases of 52.44% in stem height and 48.89% in leaf count in the experimental group, suggesting that automated regulation of light and temperature contributes to a more stable growing environment and enhanced plant development. Nevertheless, this study is limited by its relatively short observation period and restricted range of growth indicators evaluated. Further investigations with extended experimental durations and more comprehensive growth parameters are required to assess the long-term effectiveness of IoT-based hydroponic systems.
Co-Authors Baso Amir Hamidah Hamris Thitin Binalopa