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Development of Teaching Modules for Operation and System Stability Courses as a Pilot Project for the Electrical Engineering Study Program Towards Independent Learning Sujito; Aripriharta; Mohammad Rodhi Faiz; Moh. Zainul Falah; Abdullah Iskandar Syah
International Journal of Research in Vocational Studies (IJRVOCAS) Vol. 1 No. 4 (2022): IJRVOCAS - Special Issues
Publisher : Yayasan Ghalih Pelopor Pendidikan (Ghalih Foundation)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (516.612 KB) | DOI: 10.53893/ijrvocas.v1i4.74

Abstract

The challenges of the future of education are increasingly complex. The position of educators in the era of the industrial revolution 4.0 tends to be a facilitator who provides the latest information regarding the development of science. Merdeka Learning is an independent and versatile higher education learning model designed to create an unrestricted creative learning community. This development research resulted in teaching material in the form of learning modules and videos for the Operations and System Stability course. The process of developing modules/teaching materials uses the ADDIE development model, namely Analysis, Design, Development, Implementation, and Evaluating. The teaching materials developed are suitable for students to use based on the results of the formative test data and the Likert scale with 86%-100% being very good criteria. In the one-on-one trial, the percentage of expert eligibility was 94.5% for digital modules, and 92% for learning videos. In a small group trial taken from 7 TE 2017 and TE 2018 students, the percentage of eligibility results was 94% for digital modules, and 94.5% for learning videos. Meanwhile, in the field trials taken from 76 students of TE 2017 and TE 2018 the results of the feasibility percentage were 91% for digital modules and 90% for learning videos.
Forecasting electrical power consumption using ARIMA method based on kWh of sold energy Gianika Roman Sosa; Moh. Zainul Falah; Dika Fikri L; Aji Prasetya Wibawa; Anik Nur Handayani; Jehad A. H. Hammad
Science in Information Technology Letters Vol 2, No 1: May 2021
Publisher : Association for Scientific Computing Electronics and Engineering (ASCEE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31763/sitech.v2i1.637

Abstract

Customer demand for electrical energy continues to increase, so electrical energy infrastructure must be developed to fulfill it. In order to generate and distribute electrical energy cost-effectively, it is crucial to estimate electrical energy consumption reasonably in advance. In addition, it is necessary to ensure that customer demands can be met and that there is no shortage of electricity supply. This study aims to determine the estimated long-term electricity use with a historical Energy Sold (T1) database in kW accumulated over several periods from 2008 to 2017. The ARIMA method with the Seasonal-ARIMA (SARIMA) pattern is used in forecasting analysis. The ARIMA method was chosen because it is considered appropriate for forecasting linear and univariate time-series data. The results of this study indicate that the MAPE (%) error rate is relatively low, with a result of 7,966, but the R-Square reaches a value of -0.024 due to the lack of observational data.
Dynamic Voltage Restorer for Mitigation of Voltage Sags Due to 3 Phase Motor Starts Based on Artificial Neural Networks Sujito Sujito; Langlang Gumilar; Imron Ridzki; Abdullah Iskandar Syah; Moh. Zainul Falah
Jurnal Ilmiah Teknik Elektro Komputer dan Informatika Vol 9, No 1 (2023): March
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26555/jiteki.v9i1.25897

Abstract

The Direct On-Line (DOL) process of starting a high-power 3-phase induction motor causes voltage sags in the distribution system that is connected to one point of common coupling (PCC). Voltage sag can cause damage and failure of sensitive loads. This article analyzes and proposes a simulation of voltage sag recovery using a Dynamic Voltage Restorer (DVR) based on an Artificial Neural Network (ANN). ANN is used as a detector and regulator of the voltage compensation value. In this study, a 3-phase induction motor will be connected to a sensitive load, and the DVR will be placed in series with a voltage source or PCC with a sensitive load. The simulation test system uses Simulink-Matlab R2016a with different configurations of induction motor parameters. Based on the simulation results show that the parameters of the 3-phase induction motor cause the depth and duration of the voltage sag. DVR with ANN control can detect and compensate for a voltage sag of 0.5 pu so that the voltage will be normal to 1 pu.
UTILIZING RENEWABLE ALTERNATIVE ENERGY SOURCES FOR PUBLIC STREET LIGHTING IN SAMBIGEDE VILLAGE Mohamad Rodhi Faiz; Sujito Sujito; Hari Putranto; Muladi Muladi; Moh. Zainul Falah; Abdullah Iskandar Syah
Community Development Journal : Jurnal Pengabdian Masyarakat Vol. 4 No. 3 (2023): Volume 4 Nomor 3 Tahun 2023
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/cdj.v4i3.17538

Abstract

Penerangan Jalan Umum (PJU) sangat dibutuhkan oleh masyarakat terutama pada daerah yang masih minim penerangan jalan. PJU merupakan fasilitas umum yang dapat diberikan pemerintah dan menggunakan aliran listrik dari PLN. Tetapi, masih terdapat kawasan yang belum mendapatkan fasilitas tersebut sehingga membuat minim penerangan. Salah satu solusi dari tidak adanya PJU yang menggunakan aliran listrik dari PLN yaitu PJU Tenaga Surya (PJUTS). PJU ini dapat membantu menghemat biaya dan ramah lingkungan karena menggunakan matahari sebagai sumber energi utamanya. Cara kerja dari PJUTS ini yaitu sinar matahari dirubah menjadi aliran listrik melalui solar panel yang terdapat sel fotovoltaik sehingga lampu LED pada PJUTS ini dapat menyala.Kegiatan pengabdian kepada masyarakat Desa Sambigede, Kecamatan Sumberpucung, Kabupaten Malang menjadi salah satu Desa Binaan Universitas Negeri Malang. Di Desa Sambigede ini masih terdapat beberapa kawasan yang belum memiliki PJU. Program pengabdian kepada masyarakat ini bertujuan untuk menerapkan energi matahari sebagai sumber energi alternatif di Desa Sambigede. Dengan PJU ini diharapkan dapat membantu warga dalam melintasi kawasan yang masih minim penerangan pada saat malam hari, terutama warga Desa Sambigede.