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Teuku Multazam
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Journal Geuthee of Engineering and Energy
Published by Geuthee Institute
ISSN : -     EISSN : 29642655     DOI : https://doi.org/10.52626/joge.v2i1
Core Subject : Science, Engineering,
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Energy Engineering
The JOGE is open to submission from scholars and experts in the wide areas of electrical, electronics, instrumentation, control, telecommunication, computer engineering, mechanical energy, enviromental engineering, and energy from the global world. The journal publishes original research papers, review papers, and short communications in the field of electrical & power engineering, circuits & electronics, power electronics & drives, automation, instrumentation & control engineering, digital Signal, image & video processing, telecommunication system & technology, information system and technology, internet of things, artificial intelligence & soft computing.
Arjuna Subject : Teknik (semua kategori) - Teknik (Lain-Lain)
Articles 38 Documents
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Implemention of system landslide disaster mitigation based internet of things Tua, Rendi Sahila; Muthalib, Muchlis Abdul
Journal Geuthee of Engineering and Energy Vol 3, No 1 (2024): Journal Geuthee of Engineering and Energy
Publisher : Geuthèë Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52626/joge.v3i1.35

Abstract

Landslide mitigation tools are specifically made to detect angular slopes in the ground. This tool is a series of simple tools that utilizes an ESP32 microcontroller and real-time monitoring media via smartphone. This landslide mitigation tool consists of a tool frame which is generally made of iron, a mpu6050 sensor and a controller box. The main power source for the tool comes from a battery with a capacity of 12 V 7A. This tool is equipped with other components such as LCD, MPU6050 sensor, relay and siren. The designed tool will be placed in areas where landslides often occur. The MPU6050 sensor plays a role in detecting slopes on the ground. When the sensor detects a predetermined tilt level, the sensor will send data to the microcontroller. The microcontroller will process the data and send notifications to the smartphone via the blynk application. Along with this, data will also be displayed on the LCD and the sirens will be active to provide an indication that a landslide will occur. Based on testing, the average notification display delay on the LCD is very small, namely 0.26s, while the average notification delay on smartphones via the blynk application is 0.30s. The percentage measurement error by the MPU6050 sensor is 1.2%.
Design and construction of a mosquito trap using DC high voltage using the Cockcroft-Walton method Suriyanto, S; Rosdiana, R
Journal Geuthee of Engineering and Energy Vol 2, No 2 (2023): Journal Geuthee of Engineering and Energy
Publisher : Geuthèë Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52626/joge.v2i2.30

Abstract

The tropical climate in Indonesia is very helpful in breeding mosquitoes everywhere, the Aedes aegypti mosquito is the main cause of the spread of dengue fever in Indonesia. Mosquitoes' hexagonal eyes make them attracted to light, UV light with a wavelength between 350 nm and 370 nm is what can attract insects. The use of high voltage is felt to be more effective in killing mosquitoes. This research aims to find out at what time, temperature and air humidity how many mosquitoes come out to suck blood from both humans and animals. And find out at what DC voltage mosquitoes die from being stung. The device design includes UV LED, Temperature Sensor, and High Voltage DC (HVDC). UV LEDs are used as mosquito attractants, because mosquitoes like ultraviolet light, temperature also affects mosquito activity. At temperatures that are too cold, mosquitoes don't leave the nest much, and if it's too hot, the DHT11 sensor is used as a temperature gauge on the tool so that the tool works. High voltage is used to kill mosquitoes by applying voltage to the positive and negative wires, so that trapped mosquitoes will be stung to death. From the experimental results obtained, mosquitoes began to fly actively when sunset arrived, because the temperature and humidity levels were at the warm level that mosquitoes like. And mosquitoes will die if they are shocked by a voltage with a minimum value of 280V to a higher DC voltage.
Implementation of smart room system based PLC and block diagram function programming Triwijaya, Santi; Prasetyo, Yuli; Triyono, Budi; Nur Prakoso, Dimas; Multazam, Teuku
Journal Geuthee of Engineering and Energy Vol 3, No 1 (2024): Journal Geuthee of Engineering and Energy
Publisher : Geuthèë Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52626/joge.v3i1.36

Abstract

Technological developments have brought a revolution in the smart home concept, with smart rooms becoming the main focus to increase comfort, efficiency and security. This article explores the concept of a Programmable Logic Controller (PLC) based smart room with Function Block Diagram (FBD) programming. PLCs, which were originally used in industry, were introduced into the smart home environment as a central brain capable of managing and controlling electronic devices. FBD programming, with its visual approach, provides an intuitive programming solution by using function blocks to represent control logic. Through the use of FBD-based PLCs, smart rooms can be effectively automated, including lighting, temperature and security aspects. The advantages of this method include an easy-to-understand programming interface and the ability to design control logic without requiring a deep understanding of programming languages. The research results show that FBD-based PLCs provide an efficient and effective solution to improve the function of smart rooms. This implementation can provide significant benefits in terms of energy management, occupant comfort and home security. Thus, the PLC-based smart room concept with FBD programming marks a step forward in realizing a smart home that is responsive, connected, and can be adapted to the needs of residents.
System monitoring of solar power plant using NODE MCU ESP8266 based on IOT Limbong, Fitrah Hasan; Taufiq, T; Bintoro, A
Journal Geuthee of Engineering and Energy Vol 3, No 2 (2024): Journal Geuthee of Engineering and Energy
Publisher : Geuthèë Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52626/joge.v3i2.43

Abstract

Solar Power Plants (PLTS) have become a very popular energy source and have great potential in reducing dependence on fossil energy sources. The Node MCU ESP8266 is one type of microcontroller that is highly popular in the development of IoT projects. In generating electrical energy, the Internet of Things (IoT) technology has rapidly developed and become one of the most popular technologies in the field of electrical energy. With a PLTS monitoring system using a website, users can monitor the performance of the PLTS in real-time.  Solar panels or solar cells are equipment modules that can convert solar energy into electrical energy with DC current. Monitoring is the process of systematically and continuously collecting and analyzing information based on predetermined indicators of activities/programs, allowing corrective actions to be taken for the improvement of the program/activity. The researchers will also discuss the importance of monitoring PLTS, as well as the potential of IoT technology to improve the efficiency and quality of electrical energy production. The website is used to operate IoT principles designed for fast and easy real-time reading. Functional testing is divided into three parts: voltage sensor testing, ACS712 current sensor testing, and NodeMCU testing. The electrical parameters to be measured include output current and output voltage.  The PLTS monitoring system device, also known as the Box Panel, has been designed, built, and tested. The testing phase is carried out by conducting functional tests on the system to determine the success rate and accuracy of the device. Once the box panel functions properly, it can be used to monitor the output of the PLTS, and the measurement results will be displayed on the website that has been created.
The effect of distributed generator injection in different number of units on power and voltage losses in the electricity distribution system Syukri, Mahdi; Nasution, Ardiansyah
Journal Geuthee of Engineering and Energy Vol 3, No 2 (2024): Journal Geuthee of Engineering and Energy
Publisher : Geuthèë Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52626/joge.v3i2.40

Abstract

Distributed Generator (DG) is a small-capacity power plant located within the electrical distribution system and is usually placed on buses directly connected to the load. The placement of distributed generators is a technical effort to reduce voltage drops and power losses in the system. Additionally, Power flow analysis is conducted to plan and determine the power levels within an electrical power system. The results in terms of power losses after adding a DG were achieved in the fifth experiment on bus 149, where the system's total active power loss (P) decreased from 720.822 kW to 682.939 kW, and the total reactive power loss (Q) decreased from 530.02 kVar to 405.835 kVar. These results were obtained from power flow calculations using Electrical Transient Analyzer Program (ETAP) software.Therefore, it can be concluded that the electrical network system is operating efficiently. The results show that the more wind turbine generators are added to the buses, the more the voltage drop is reduced. After simulation, the overall voltage drops still meet the standards according to the text report in ETAP.
Reliability analysis of 20 kV electric power distribution system based on SAIFI, SAIDI, CAIDI, MAIFI, ASAI and ASUI at PT. PLN Rayon Samalanga Iqbal, Muhammad
Journal Geuthee of Engineering and Energy Vol 3, No 2 (2024): Journal Geuthee of Engineering and Energy
Publisher : Geuthèë Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52626/joge.v3i2.42

Abstract

The reliability index of the distribution system is a measure of the system's ability to continuously supply electrical energy to loads over a specific period and under certain conditions. PT. PLN (Persero) Rayon Samalanga, as the electricity service provider in Bireun Regency, adheres to service standards in accordance with SPLN 59:1985 and the IEEE Reliability Index standard 1366-2003. This research analyzes the reliability level of PT. PLN (Persero) Rayon Samalanga's distribution network on six (6) feeders: feeder SL-1, feeder SL-2, feeder SL-3, feeder SL-4, feeder SL-5, and feeder SL-6. The reliability index calculation is based on the estimated failure rate (λ) and the estimated interruption duration (U) for each installed component. The calculation results show that the distribution lines of PT. PLN (Persero) Rayon Samalanga are categorized as reliable according to SPLN 59:1985 and the IEEE Reliability Index standard 1366-2003, with the highest reliability index on feeder SL-4 at SAIFI = 2.04 times/failure; the best SAIDI value is on feeder SL-3 with SAIDI = 2.06852 hours/year; the best CAIDI value is on feeder SL-3 with CAIDI = 0.21 times/failure; the best MAIFI value is on feeder SL-2 with MAIFI = 14.82 times/customer; the best ASAI value is on feeder SL-3 with ASAI = 0.99999684, and the best ASUI value is on feeder SL-2 with ASUI = 0.0000081
Evaluation study of solar powered public street lighting as battery charging at Islamic Center based on PSIM Wina, Cut; Muhammad, Muhammad; Mahmudi, Irwan
Journal Geuthee of Engineering and Energy Vol 3, No 2 (2024): Journal Geuthee of Engineering and Energy
Publisher : Geuthèë Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52626/joge.v3i2.41

Abstract

Electrical energy is essential for the growth and advancement of technological knowledge that continues to increase. Solar cells are devices that convert solar energy through photovoltaic devices. Solar cell public street lighting (PJUBS) uses unlimited and free solar energy, is a feasible and cheap alternative to providing electric lighting. The Islamic center mosque is one of the places of worship for the majority of Muslims in the city of Lhokseumawe using public street lighting to support public security and safety. Installation of lamps for lighting is installed at several points, namely right, left or in the middle of the road, as needed, including flyovers, underpasses, and bridges. Public street lighting that is efficient and environmentally friendly is in accordance with SNI 7391: 2008. In this study, the lamps used in this evaluation study are solar types with a power of 50 Watts. The calculation results show that the illumination produced at the end of the road when using a 50 Watt solar LED lamp is 0.29 lux so that this does not comply with the provisions of BSN SNI 7391: 2008. This condition is influenced by several factors, namely surface temperature, shadows, inclination angle, light intensity, irradiation, and the condition of the panel surface in order to maximize the conversion value of sunlight into electrical energy
Error comparison between postpaid and prepaid kWh meter readings under load variations Thania, Visty Chifa; S, Salahuddin; Multazam, Teuku; Yusdartono, Habib Muharry; Fariadi, Dedi
Journal Geuthee of Engineering and Energy Vol 3, No 2 (2024): Journal Geuthee of Engineering and Energy
Publisher : Geuthèë Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52626/joge.v3i2.47

Abstract

Load variations found in PT PLN Persero customers, such as resistive, inductive, or capacitive loads, can potentially affect the error rate in kWh meter readings. To determine the error rate of kWh meter readings, it is necessary to compare the reading data from each kWh meter with the measurement data from a 6-in-1 multimeter display. This involves comparing the prepaid digital kWh meter, the postpaid semi-digital kWh meter, and the postpaid analog kWh meter, all assembled in series. Based on the test results, the average reading error rate for resistive loads was found to be 0,11% for the prepaid digital kWh meter, 6,91% for the postpaid semi-digital kWh meter, and 0,36% for the postpaid analog kWh meter. For inductive loads, the average reading error rate was 0,36% for the prepaid digital kWh meter, 7,00% for the postpaid semi-digital kWh meter, and 0,27% for the postpaid analog kWh meter. For capacitive loads, the average reading error rate was 0,09% for the prepaid digital kWh meter, 7,52% for the postpaid semi-digital kWh meter, and 0,62% for the postpaid analog kWh meter. This research is important for the electricity supply industry because the accuracy of electrical energy measurement is a key factor in maintaining operational efficiency and improving tariff fairness for customers.
Integrated IoT System for Real-Time Electrical Load Monitoring Prasetyo, Yuli; Triwijaya, Santi; Khakim, Ainul; Prakoso, Dimas Nur; Winarno, Basuki
Journal Geuthee of Engineering and Energy Vol 4, No 1 (2025): Journal Geuthee of Engineering and Energy
Publisher : Geuthèë Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52626/joge.v4i1.57

Abstract

 The uncontrolled and excessive consumption of electrical energy, especially in households, often leads to significant energy waste. This issue adversely affects both consumers and electricity providers such as PLN. To address this problem, a system titled "Centralized Monitoring and Control Based on Load Characteristics Using the Internet of Things (IoT)" was developed. This system is designed to monitor and control household electrical loads in real time. The system consists of a PZEM-004T sensor for measuring voltage, current, power, energy usage, frequency, and power factor. An Arduino microcontroller processes the sensor data, while an ESP32 module transmits the data to an online database. A relay module is used to control electrical devices remotely. The data is stored in a database and visualized through a web-based interface, which also enables users to download monitoring reports in PDF or Excel formats. Testing results showed that the system operates with high accuracy. When compared to a standard power analyzer, the measurement error for parameters such as voltage, current, frequency, and power factor remained low, with a maximum error of only 1.9%. It demonstrates the system’s potential for efficient energy monitoring and management in residential settings.
Forecasting of electrical energy consumption using Autoregressive Integrated Moving Average (Case Study: ULP Meulaboh Kota) Gunandra Siregar, Putri; Sahputra, Ilham; Nisa, Fidyatun
Journal Geuthee of Engineering and Energy Vol 4, No 1 (2025): Journal Geuthee of Engineering and Energy
Publisher : Geuthèë Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52626/joge.v4i1.56

Abstract

Forecasting electricity consumption is one of the solutions that can be implemented by the ULP Meulaboh Kota to ensure the availability of sufficient electricity supply. With the continuous increase in electricity demand, the ULP faces challenges in predicting and managing electricity consumption. Uncertainty in consumption patterns can lead to imbalances between supply and demand, potentially causing various issues such as power outages, high operational costs, and customer dissatisfaction. Therefore, accurate forecasting is essential to support effective decision-making and planning. This study aims to forecast electricity consumption across five different sectors: residential, social, business, industrial, and public, using the ARIMA (Autoregressive Integrated Moving Average) method. The forecasting process involves data collection, stationarity testing using the Augmented Dickey-Fuller (ADF) test, and differencing when necessary to achieve stationarity. The ARIMA model is identified through ACF and PACF plot analysis, estimated, and tested before being used for forecasting. The results indicate that the ARIMA method provides highly accurate forecasts for all sectors, as reflected by the low Mean Absolute Percentage Error (MAPE) values. The residential sector has a MAPE of 4.3957%, the social sector 4.3757%, the business sector 3.1125%, the industrial sector 7.9937%, and the public sector 4.3646%. Overall, the forecasting error produced by the ARIMA model remains below 8%, with an average MAPE of 4.8483% across all sectors.

Page 3 of 4 | Total Record : 38

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