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International Journal of Electrical, Energy and Power System Engineering (IJEEPSE)

ijeepse
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Published by Universitas Riau

ISSN : - EISSN : 26544644 DOI : 10.31258

Core Subject : Science, Engineering,

Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Energy

The IJEEPSE is particularly concerned with the demonstration of applied science and innovative engineering solutions to solve problems on power, energy, wireless communication and, informatics. Original contributions providing insight into the use of renewable energy, power generation and smart transmission grids, energy conversation, communication, informatics and computer sciences.

Arjuna Subject : Energi (semua kategori) - Teknik Energi dan Teknologi Daya

Articles 5 Documents

Search results for , issue "Vol. 5 No. 1 (2022): International Journal of Electrical, Energy and Power System Engineering (IJEEP" : 5 Documents clear

IoT Applications in Fermented Tempe Production Ery Safrianti; Linna Oktaviana Sari; Fitri Wulandari; Feranita
International Journal of Electrical, Energy and Power System Engineering Vol. 5 No. 1 (2022): International Journal of Electrical, Energy and Power System Engineering (IJEEP
Publisher : Electrical Engineering Department, Faculty of Engineering, Universitas Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31258/ijeepse.5.1.1-5

Tempe is made from fermented soybeans with the fungus Rhizopus Oligosporus. In the manufacture of tempe producers often experience failure. The main cause is the temperature and humidity of the room where the tempe production is not maintained. The absence of supporting devices for detecting temperature and humidity in the factory is an obstacle in the tempe fermentation process. Manufacturers can only estimate the temperature and humidity in the fermentation chamber. If the temperature is considered too hot, tempe producers will come to the factory and open the air vents so that the room temperature returns to normal. To increase tempe production and reduce the risk of production failure, it is necessary to design an automatic control and monitoring tool through the use of the Internet of Things (IoT). The tools used in this research are ESP8266, DHT22, Relay, Power Bank as a power source, fans, and lights. The results obtained from the test are that if the temperature and humidity are above or below the normal temperature (250C-320C), a notification will appear on the user's smartphone via the Blynk application. If the temperature is too hot, the fan will turn on automatically. If the temperature is too cold, the light will turn on. Monitoring data can also be viewed on the things peak website in graphic form.

Short-Term Electricity Load Forecasting Model Based DSARIMA Ismit Mado; Antonius Rajagukguk; Aris Triwiyatno; Arif Fadllullah
International Journal of Electrical, Energy and Power System Engineering Vol. 5 No. 1 (2022): International Journal of Electrical, Energy and Power System Engineering (IJEEP
Publisher : Electrical Engineering Department, Faculty of Engineering, Universitas Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31258/ijeepse.5.1.6-11

Forecasting short-term electrical load is very important so that the quality of the electrical power supplied can be maintained properly. The study was conducted to measure the results of electrical load forecasting based on parameter estimates and the presentation of time series data. It is important to manage stationary data, both in terms of mean and variance. Data presentation is done by determining the value of variance through the Box-Cox transformation method and the mean value based on the ACF and PACF plots. This study considers the pattern of electricity consumption which contains double seasonal patterns. The results of previous studies show the electric power prediction model, the DSARIMA model with a MAPE of 2.06%. The condition of the model used to predict the electrical load still has a tendency not to be normally distributed and it is estimated that there are outliers. Improvements to the AR and MA parameters that meet the standard error tolerance value of 5 percent are increased in this study. The results showed improvement of parameters to predict electrical load with DSARIMA model. The significance of this study was obtained by the MAPE value of 1.56 percent when compared to the actual data.

Quality of Service from a Network when Using Youtube Application Noveri Lysbetti Marpaung; Rizka Dwi Saputri; Rahyul Amri
International Journal of Electrical, Energy and Power System Engineering Vol. 5 No. 1 (2022): International Journal of Electrical, Energy and Power System Engineering (IJEEP
Publisher : Electrical Engineering Department, Faculty of Engineering, Universitas Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31258/ijeepse.5.1.12-18

Nowadays, utilization of internet services is very important to do all jobs online, especially in pandemic of Corona Virus, whereas all employees from every institution must work from home. Therefore, the number of people using internet services increased dramatically. However, availability of internet network is not enough to complete those tasks. The other mainly important role to arrange all these chores is quality of service of its internet. In addition, other ordinary activity which must be prepared to execute is streaming video about many things. Consequently, all those workers must use YouTube application. Aim of this paper is to determine quality of service in internet network of one private Internet Service Provider company in Pekanbaru, related to real conditions on each of 40 clients, Outputs of this study is qualification of each Throughput, Delay, Packet Loss and QoS Parameters based on TIPHON. Results of the research show that QoS Parameters in this Internet Service Provider are Unsatisfied and tends to be Bad because there are only two users who obtain Satisfied, none of clients procure Very Satisfied, 25 clients experience Bad quality and 13 users face Unsatisfied category when using the internet network.

Health Monitoring System for Transformer by using Internet of Things (IoT) Dirman Hanafi; Zarkhoni Aziz
International Journal of Electrical, Energy and Power System Engineering Vol. 5 No. 1 (2022): International Journal of Electrical, Energy and Power System Engineering (IJEEP
Publisher : Electrical Engineering Department, Faculty of Engineering, Universitas Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31258/ijeepse.5.1.19-23

Transformer is an important device in electrical field that used to transfer electricity from one circuit to another with changing the voltage level. The transformer will be having a problem such as increasing in temperature and make a lot of noise. Typical transformer measurement system will take time for testing and less accurate. The aim of this project is to design the IoT system for monitoring and evaluate the performance of the transformer current, sound and temperature. The monitoring system using three types of sensors to sense the current, sound and temperature. ESP32 is being used to keep and process the data before sending to the Blynk application to show the value by using internet. Two different conditions are being tested to the transformer which are transformer without load and with load. Ammeter and ACS712 current sensor are used to get the current value. Besides, for temperature value used two equipment which are using thermometer and MLX90614 temperature sensor. The transformer sound obtained from the sound sensor. The data will be display in Blynk application. The result obtained show the health monitoring system for transformer by using Internet of Things is acceptable because has low error and save time to measure the parameters.

PID Controller for Optimum Energy Efficiency in Air-Conditioner Ashman Shahir; Muchamad Oktaviandri
International Journal of Electrical, Energy and Power System Engineering Vol. 5 No. 1 (2022): International Journal of Electrical, Energy and Power System Engineering (IJEEP
Publisher : Electrical Engineering Department, Faculty of Engineering, Universitas Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31258/ijeepse.5.1.24-29

Air conditioning is a process of excluding moisture and heat in interior space for better thermal comfort. It is also one of the largest energy consumers in a household. The air-conditioner uses a lot of energy to maintain desired room temperature. The world is getting old and technologies are getting more advanced every day, energy-efficient appliances are needed to preserve the world. This paper presents a design and testing of the PID control for temperature and humidity control using Arduino to get the optimum energy efficiency. The system was developing by implementing the DHT22 sensor. The objectives of this work are; to design experimental model of air conditioning system, and to optimize the system using PID control. The Arduino is used in this work to showcase the temperature and humidity reading. The experimental model has been successfully built for use with PC fan with 12V and 0.26A current rate. The real-life performance is quite satisfactory.

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Assoc. Prof, Dr Azriyenni

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ijeepse@eng.unri.ac.id

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ijeepse@eng.unri.ac.id

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Kampus Bina Widya, Jl. HR. Soebrantas Km. 12.5 Panam, Pekanbaru, Riau, Indonesia 28293 Website : www.ijeepse.ejournal.unri.ac.id No. Telp/Faks : +62 761 66596 / 66596 Email: ijeepse@eng.unri.ac.id

Location
Kota pekanbaru,

Riau

INDONESIA

Abstract

Abstract

Abstract

Abstract

Abstract

Home Page

OAI Link

Editorial Team

Contact

Reviewer

Google Scholar

Contact Name Assoc. Prof, Dr Azriyenni

Contact Email ijeepse@eng.unri.ac.id

Phone +6276166596

Journal Mail Official ijeepse@eng.unri.ac.id

Editorial Address Kampus Bina Widya, Jl. HR. Soebrantas Km. 12.5 Panam, Pekanbaru, Riau, Indonesia 28293 Website : www.ijeepse.ejournal.unri.ac.id No. Telp/Faks : +62 761 66596 / 66596 Email: ijeepse@eng.unri.ac.id

Location Kota pekanbaru, Riau INDONESIA

Abstract

Abstract

Abstract

Abstract

Abstract

Contact Name
Assoc. Prof, Dr Azriyenni

Contact Email
ijeepse@eng.unri.ac.id

Phone
+6276166596

Journal Mail Official
ijeepse@eng.unri.ac.id

Editorial Address
Kampus Bina Widya, Jl. HR. Soebrantas Km. 12.5 Panam, Pekanbaru, Riau, Indonesia 28293 Website : www.ijeepse.ejournal.unri.ac.id No. Telp/Faks : +62 761 66596 / 66596 Email: ijeepse@eng.unri.ac.id

Location
Kota pekanbaru,

Riau

INDONESIA