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Elektron Jurnal Ilmiah
ISSN : 20856989     EISSN : 26544733     DOI : -
Elektron Jurnal Ilmiah (EJI) is a peer-reviewed journal which is published by Department of Electrical Engineering, Politeknik Negeri Padang. The ISSN number is 2085-6989. EJI published the first edition in 2009 and since 2014, EJI publishes in Juni and December. The scopes of the journal are: electrical power, telecommunication, control, electronic and robotics.
Arjuna Subject : -
Articles 4 Documents
Search results for , issue "Volume 15 Nomor 1 Tahun 2023" : 4 Documents clear
Karakteristik Medan Listrik-Dekat Petir Positive Cloud to Ground Seftiani, Yudia Meka; Hazmi, Ariadi; Novizon, Novizon; Abadi, Akbar; Widia, Riza
Elektron : Jurnal Ilmiah Volume 15 Nomor 1 Tahun 2023
Publisher : Teknik Elektro Politeknik Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30630/eji.15.1.334

Abstract

This study was conducted on 19 electric field data near positive lightning cloud to ground (+CG). The electric field change of +CG lightning consist of preliminary breakdown (PB) and return stroke (RS). The analysis conducted in this research are: PB/RS ratio, PB-RS separation, pre-return stroke duration, pulse train duration, and individual pulse duration. Furthermore, the relationship between +CG lightning and cloud image satellite was observed the average value of PB/RS ratio, PB-RS separation, prereturn stroke duration, pulse train duration and individual pulse duration were 13,89%, 91,53 ms, 102,23 ms, 1,20 ms,150,31 μs, respectively.
Prototype Sistem Monitoring Nutrisi dan Tingkat pH Air pada Budidaya Hidroponik Sayur Pakcoy Menggunakan Teknologi Internet of Things (IoT) Hamidah, Mafana Nur; Safitri, Nova Indah; Akbar, Dimas Wira; Uly, Olivia Sherly Indah; Kurnianto, Danny
Elektron : Jurnal Ilmiah Volume 15 Nomor 1 Tahun 2023
Publisher : Teknik Elektro Politeknik Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30630/eji.15.1.336

Abstract

The agricultural industry is critical in supplying food and fiber demands, but there is a demand-supply imbalance due to decreased land availability. Hydroponic techniques can be utilized to alleviate agricultural land loss by using water as a growing medium. Farmers must constantly examine plant condition and harvesting schedules. The pH of the water and nutrients are important indications for hydroponic farmers to monitor. Therefore, the implementation of the Internet of Things (IoT) allows farmers to conduct real-time monitoring more easily and regularly. IoT is defined as a system that allows integrated hardware to communicate with the internet network. The IoT device is built by attaching a NodeMCU 8266 microcontroller to an adapter, which provides electrical voltage while also regulating a water pump that delivers nutrients and water to plants. The acquired data is then transmitted to the blynk program, allowing real-time monitoring of the results via a smartphone. The present research system's usefulness and performance are improved by including pH and TDS sensors. The average accuracy of pH monitoring utilizing a pH sensor and a manual pH meter was 92.09%. Meanwhile, the average accuracy of nutrient monitoring utilizing TDS sensors and a TDS meter was 73.19%.
Peramalan Beban Listrik Kabupaten Pesisir Selatan Dengan Analisis Regresi Hendri, Zulka; Efendi, Efendi; Asrul, Junaidi; Fitriadi, Fitriadi
Elektron : Jurnal Ilmiah Volume 15 Nomor 1 Tahun 2023
Publisher : Teknik Elektro Politeknik Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30630/eji.15.1.340

Abstract

The more electric vehicles emerge, the more electricity demand will increase in each region. This will encourage electricity providers to increase the number or capacity of generators. The construction of a new power plant requires load forecasting to determine how much capacity the plant will build. This study aims to predict the electrical load in Pesisir Selatan, West Sumatra until 2031 using linear regression analysis and time series. Forecasting is done on each sector of PLN customers. Forecasting is done based on the PLN customer sector. The forecasting sectors are the household, business, social and government sectors. The four test criteria were carried out are namely the coefficient of determination test (R2), the F test, the T test and the mean absolute percentage error (MAPE). The forecasting results show that in 2031 the electricity load for the household sector is 120.1 MW, the business sector is 5.7 MW, the social sector is 56.9 MW and the government is 9.5 MW.
Reduksi Harmonisa Pada Saluran Distribusi Tenaga Listrik Dengan Filter Daya Aktif ., Fitriadi; Hamid, M. Imran; Herisanjani, Herisanjani; Firmansyah, Firmansyah; Hendri, Zulka
Elektron : Jurnal Ilmiah Volume 15 Nomor 1 Tahun 2023
Publisher : Teknik Elektro Politeknik Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30630/eji.15.1.350

Abstract

The large use of power converters in distribution lines causes poor power quality such as high produces harmonics in an electric power system that arises due to the operation of non-linear electrical equipment. The presence of harmonics in the power system distribution results in a very large loss in the system. In this paper had been done a simulation of power quality improvement through harmonic reduction using parallel active power filter. Active power filters work with control techniques based on the concept of instantaneous power to determine the amount of compensation currents that must be generated by the power compensator power circuit. The compensating current references generated by the control circuit are used by the hysteresis type controller to provide harmonic compensation arising. From the result of simulation using Simulink MATLAB, the harmonic value (THD) decrease caused by the 3 phase rectifier load on a distribution network which is used as case example. The harmonic value before compensated on the network is 27.85% at each phase, while after computing the harmonic value of the network decreases to 1,43% in R phase, 1,49% in S phase, and 1,34% in T phase.

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