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All Journal CIRCUIT: Jurnal Ilmiah Pendidikan Teknik Elektro Indonesian Journal of Electrical Engineering and Computer Science Jurnal Teknologi
Radhiah Radhiah
Politeknik Negeri Lhokseumawe
Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Education Electrical & Electronics Engineering Mechanical Engineering Other

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Model Blended learning Berbasis Google Classroom Pada Kompetensi Dasar Listrik dan Elektronika (DLE) Terhadap Hasil Belajar Malahayati Malahayati; Mursyidin Mursyidin; Umrah Hayani; Radhiah Radhiah
CIRCUIT: Jurnal Ilmiah Pendidikan Teknik Elektro Vol 6, No 1 (2022)
Publisher : PTE FTK UIN Ar-Raniry

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22373/crc.v6i1.11120

Abstract

Government obliged the schools should held the online learning in terms of Covid 19 spreadness. However, the online learning process indicated less effective result. To overcome this problem, a  blended learning model is applied. The blended learning model combines online learning with face-to-face (offline) learning. The purpose of this study was to determine  the response and influence of the blended learning model with google classroom. The method used in this study is an applied research method by using one group pretest posttest design. The study involved students of class X TEI SMKN 1 Simpang Kanan, SIngkil, Aceh. The instrument used wa test questions and questionnaires. Data analyze by looking at the difference in the average score of students at the pretest and posttest result. The data showed that the blended learning model with google classroom had a positive effect on student learning outcomes. It proved from the results of hypothesis testing by using the paired sample test at = 0.05, the sig value is obtained. (2 tailed) of 0.046.It could concluded that Ha is accepted. The data also presented that there were differences in the learning outcomes of class X TEI before and after the implementation. This can be seen from the average score of students at the time of the pretest was 57.11 and the average value of the students at the time of the posttest was 65.88. Meanwhile, the students' response to the blended learning model with the help of Google Classroom is 80.8%. It can be concluded that the Belnded Learning model assisted by Google Classroom is quite effective to be applied to distance learning (online).
Design of On Load Tap Changing Transformer (OLTC) to Increase Photovoltaic Penetration Level in Low Voltage Distribution Feeder Radhiah Radhiah
Jurnal Teknologi Vol 21, No 1 (2021): April 2021
Publisher : Politeknik Negeri Lhokseumawe

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (696.997 KB) | DOI: 10.30811/teknologi.v21i1.2194

Abstract

This paper investigates a method for regulating the voltage profile and reducing the voltage unbalance at low voltage (LV) residential feeders with single-phase rooftop photovoltaic (PV) installed randomly along with the feeders. The used algorithm considers the distribution transformers that have on-load tap changers (OLTC) and can automatically control the voltage to prevent voltage rise in the feeder. MATLAB-based simulation results demonstrate the effectiveness of the discussed approaches.
Smart panel design for renewable energy generation Rudi Syahputra; Nelly Safitri; Fauzan Fauzan; Yassir Yassir; Teuku Hasannuddin; Akhyar Akhyar; Radhiah Radhiah; Zulfikar Zulfikar
Indonesian Journal of Electrical Engineering and Computer Science Vol 43, No 1: July 2026
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v43.i1.pp18-27

Abstract

The aim of this study is to design and develop a smart panel module specifically for solar power generation, which includes three critical functions: the automatic transfer switch (ATS), the automatic main failure (AMF), and capabilities for remote monitoring and control. The ATS and AMF features employ Haiwell AT12MOT Ethernet PLC control equipment in conjunction with the Haiwell B7H Ethernet IoT cloud HMI, both designed for remote operation through an IoT system and integrated with the Haiwell cloud application. The developed PLC program interacts with HMI software that is created using NB designer. Inputs from the PLC are monitored and managed via the Haiwell cloud application, which connects with the relay designated as input for the Haiwell AT12MOT PLC. The resulting design interfaces with the PLC output located within an electrical panel specifically designed to handle industrial loads. This research results in a smart panel capable of operating in an industrial context with a power capacity of 2,200 VA. It is noteworthy that during automatic operations, load transfers between solar power systems and PLN (the national grid company of Indonesia) do not occur instantaneously; instead, there is a delay of 10 seconds as the system stabilizes back to normal conditions.
Co-Authors Akhyar Akhyar Fauzan Fauzan Malahayati Malahayati Mursyidin Mursyidin Nelly Safitri Rudi Syahputra Teuku Hasannuddin Umrah Hayani Yassir Yassir Zulfikar Zulfikar