cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
Sadrina
Contact Email
sadrina@ar-raniry.ac.id
Phone
-
Journal Mail Official
-
Editorial Address
Syeikh Abul Rauf Kopelma Darussalam Banda Aceh, Indonesia, Postal Code 23111
Location
Kota banda aceh,
Aceh
INDONESIA
CIRCUIT: Jurnal Ilmiah Pendidikan Teknik Elektro
Published by Universitas Islam Negeri Ar-Raniry Banda Aceh
ISSN : 25493698     EISSN : 25493701     DOI : 10.22373
Core Subject : Education, Engineering,
Education Electrical & Electronics Engineering Other
Journal Circuit is an Electrical Engineering Education Scientific journal which published by the Electrical Engineering Education Department, Faculty of Teaching and Training, Ar-Raniry State Islamic University, Banda Aceh. The Circuit Journal publishes empirical and theoretical contributions in the electrical engineering education scientific from the students, lecturers, professors or other scientists. The Circuit Journal manuscripts provide an original fundamental research, related to electrical engineering, electrical engineering education, and vocational education. The Circuit Journal also embossing the interpretative reviews, and discussion of new development in electrical engineering education
Arjuna Subject : -
Articles 2 Documents
 1 
Search results for , issue "Vol. 10 No. 1 (2026)" : 2 Documents clear
Thermal Overload Relay Trainer Design for Electric Motor Control Practice Ilham, Muhammad; Rizal Fachri, Muhammad; Baihaqi, Baihaqi
Circuit: Jurnal Ilmiah Pendidikan Teknik Elektro Vol. 10 No. 1 (2026)
Publisher : PTE FTK UIN Ar-Raniry

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22373/yz8mw820

Abstract

The limited availability of adequate practical learning media often poses a significant challenge for students in understanding the applied principles of electrical components, particularly the Thermal Overload Relay (TOR). This study aims to design, develop, and evaluate the feasibility of a TOR trainer as an innovative learning medium for electric motor control practicum. The research methodology employed is Research and Development (R&D), adapting the 4D development model (Define, Design, Develop, Disseminate), which was limited to the development stage. Data were collected using Likert-scale validation instruments involving media and subject matter experts. The analytical results indicate that the TOR trainer obtained an average validation score of 4.2, categorized as "Highly Feasible." Specifically, the validity testing yielded a feasibility percentage of 93.5% for the media aspect and 91.35% for the material design aspect. These findings demonstrate that the developed TOR trainer possesses superior presentation quality and is highly representative for use as a supporting medium in practical activities. The implementation of this media is expected to enhance student comprehension effectiveness and the overall quality of the learning process in electric motor control systems within technical education environments
The Design of an Integrated IoT and Artificial Intelligence System for Fish Quality Degradation Diagnosis Fathul Hadi, Charis; Mutamimah, Dewi; Hidayat, Firman
Circuit: Jurnal Ilmiah Pendidikan Teknik Elektro Vol. 10 No. 1 (2026)
Publisher : PTE FTK UIN Ar-Raniry

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22373/6kcj8y61

Abstract

In post-harvest handling, fish quality assessment is typically carried out using traditional sensory observations, which are potentially resulting in inconsistent diagnoses. Furthermore, prior research has not fully integrated the Internet of Things (IoT) with artificial intelligence for fish quality diagnostics, and it frequently concentrates on a single quality metric. This study aims to design and evaluate an integrated system based on IoT and artificial intelligence using a Case-Based Reasoning (CBR) approach for diagnosing fish quality degradation. The developed system utilizes IoT-based sensors to monitor physicochemical parameters, such as temperature, pH, and gas indicators, with real-time data transmission to a cloud platform. The collected data are analyzed using a CBR model as a decision support system. Performance evaluation was conducted using 120 testing data under controlled storage conditions and validated through expert assessment. The results show that the system achieves a diagnostic accuracy of 92.5%, with precision of 91.8%, recall of 93.2%, and an F1-score of 92.5%. In addition, the system has an average data transmission latency of 0.87 seconds, enabling near real-time diagnosis. These findings indicate that the system provides accurate and efficient diagnosis of fish quality degradation and supports post-harvest quality management

Page 1 of 1 | Total Record : 2

 1 

Filter by Year

2026 2026


Reset
Filter By Issues
All Issue Vol. 10 No. 1 (2026) Vol. 9 No. 2 (2025) Vol. 9 No. 1 (2025) Vol 9, No 1 (2025) Vol 8, No 2 (2024) Vol. 8 No. 2 (2024) Vol 8, No 1 (2024) Vol. 8 No. 1 (2024) Vol 7, No 2 (2023) Vol. 7 No. 2 (2023) Vol 7, No 1 (2023) Vol 6, No 2 (2022) Vol 6, No 1 (2022) Vol 5, No 2 (2021) Vol 5, No 1 (2021) Vol 4, No 2 (2020) Vol 4, No 1 (2020) Vol 3, No 2 (2019) Vol 3, No 1 (2019) Vol 2, No 2 (2018): Edisi Agustus 2018 Vol 2, No 2 (2018) Vol 2, No 1 (2018) Vol 2, No 1 (2018) Vol 1, No 2 (2017) Vol 1, No 2 (2017) Vol 1, No 1 (2017) Vol 2, No 1 (2016) Vol 1, No 2 (2015) Vol 1, No 1 (2015) More Issue