cover
Contact Name
Pinto Anugrah
Contact Email
pinto@eng.unand.ac.id
Phone
+6275172497
Journal Mail Official
ajeeet@eng.unand.ac.id
Editorial Address
Gedung Jurusan Teknik Elektro Lantai 2. Fakultas Teknik Universitas Andalas, Limau Manis, Pauh, Padang City, West Sumatra 25163
Location
Kota padang,
Sumatera barat
INDONESIA
Andalas Journal of Electrical and Electronic Engineering Technology
Published by Universitas Andalas
ISSN : -     EISSN : 27770079     DOI : -
Electrical power and energy: Transmission and distribution, high voltage, electrical energy conversion, power electronics and drive. Telecomunication and Signal Processing: Antenna and wave propagation, network and systems, Modulation and signal processing, Radar and sonar, Radar imaging; Radio, multimedia content, Routing protocols, Wireless communications, Signal Processing, Image Processing, Voice Processing. Control automation and Robotic: Robotics, Automation, Pattern Recognition, Biosignal Engineering, Control Theory, Applied Control, System Design, Optimization, Process Control, Sensor. Research in Electrical and Electronic Engineering Education.
Articles 81 Documents
The development of APIO : Solar Power Plant Based Technology for Automatic Fish Dryer Equipment Arnita Arnita; Cahayahati Cahayahati; Mirzazoni Mirzazoni
Andalas Journal of Electrical and Electronic Engineering Technology Vol. 3 No. 1 (2023): May 2023
Publisher : Electrical Engineering Dept, Engineering Faculty, Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/ajeeet.v3i1.36

Abstract

APIO is a fish drying equipment that utilizes sunlight which is converted into electrical energy using a solar power plant. This dryer works automatically using a control system that can control temperature and weight in predetermined settings. APIO designed in the form of a closed box with a heater and fan using a battery as an energy source. APIO uses a load cell and thermocouple as control input using an Arduino microcontroller and regulates the heat temperature in the box between 40-50?C. This tool was tested in the Pasie Nan Tigo Padang, Sumatra Barat. APIO tested using the Arduino uno control at night from 23:00 to 03:15 using fish weighing 5108 grams, data collection was carried out once for 15 minutes for 18 times. The average heater temperature was 32.71?C and the outside temperature was 25?C. The heater voltage was 11.33 V and the heater current was 36.02 A with clear weather conditions. The test results showed a decrease in fish weight to 4208 grams dry. Day time tested from 13:00 to 15:15 using fish weighing 1012 grams, taking data once for 15 minutes for 10 times the average heater temperature is 43.85?C, outside temperature is 30?C and fish weight reaches 208 grams dry.
Prototype of Automatic Watering and Fertilizing System for Oil Palm Seeds Based on Internet of Things Muhammad Daud; Muhammad Yusril Zulfikar; Arnawan Hasibuan; Muzamir Isa
Andalas Journal of Electrical and Electronic Engineering Technology Vol. 3 No. 1 (2023): May 2023
Publisher : Electrical Engineering Dept, Engineering Faculty, Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/ajeeet.v3i1.37

Abstract

Watering and fertilizing are very important to maintain the quality of the oil palm seeds. If the oil palm seeds are not watered regularly the soil will dry out while the oil palm seeds generally need to maintain adequate soil moisture and require a loose textured soil medium. So far, farmers have not optimally fulfilled the needs for water and fertilizer for oil palm seeds because they still use manual and traditional methods. Technological developments have made it possible to create irrigation and fertilization techniques automatically. In this study, a prototype of an automatic watering and fertilizing system was designed and realized for oil palm seedlings using the NodeMCU ESP8266 as the main controller in addition to RTC, humidity sensors, relays, water pumps, LCDs, and smartphones. RTC is used for fertilization scheduling, humidity sensors to sense soil moisture levels, relays as automatic switches that turn on and off pumps, water pumps to pump water and liquid fertilizer, LCD to display information, and smartphones to monitor conditions and processes of watering and fertilizing coconut seedlings palm. The test results show that the prototype tool can work well. When the soil moisture is read by the humidity sensor less than 30% (dry soil condition) then pump one is activated and when the soil moisture is more than 60% (wet soil condition) then pump one turns off. Furthermore, fertilization can take place according to a predetermined schedule where the second pump will automatically activate with a duration of 20 seconds for each fertilization period.
Frequency Domain Analysis of Load Frequency Control Using PIDTune Model Standard Heru Dibyo Laksono; Rohadatul ‘Aisya; Wira Hidayat bin Mohd Saad
Andalas Journal of Electrical and Electronic Engineering Technology Vol. 3 No. 1 (2023): May 2023
Publisher : Electrical Engineering Dept, Engineering Faculty, Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/ajeeet.v3i1.38

Abstract

The load frequency control system aims to regulate the frequency in the electric power system at a normal value with a predetermined tolerance limit. In practice, the load frequency control system does not always operate optimally, therefore a controller is needed to be added to the load frequency control system. The controller designed is a variation of the combination of Proportional-Integral-Differential (PID) controllers with the standard model PIDTune method consisting of proportional (P) controller, proportional integral (PI) controller, proportional  differential (PD) controller, Proportional Integral Differential (PID) controller, Proportional Differential controller with first-order filter on differential section (PDF), and Proportional Integral Differential controller with first-order filter on differential section (PIDF). This study is aiming to carry out simulation and analysis in the frequency domain and then analyze the robustness of the reheat type power frequency control system and then design a PID controller for the reheat type power frequency control system in basic configuration, filter configuration, feedback configuration, feedforward configuration, and cascade configuration using PIDtune Model Standard on Matlab software. From the results of simulation and analysis, the controller that complies the design criteria and can make the reheat type of load frequency control system work optimally based on frequency domain analysis and robustness analysis is a proportional-integral (PI) controller in a feedback configuration with gain margin (Kg) equals to 38.11 dB, phase margin equals to 59.6°, infinity bandwidth, peak resonance value (Mr) equals to 1.19, maximum sensitivity peak value (MS) equals to 1.24, and complementary maximum sensitivity peak value (MT) equals to 1.17.
DC-DC Buck and Boost Converter Design for Energy Control in Hybrid PV Systems Zaini Zaini; Wisnu Joko Wulung
Andalas Journal of Electrical and Electronic Engineering Technology Vol. 3 No. 2 (2023): November 2023
Publisher : Electrical Engineering Dept, Engineering Faculty, Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/ajeeet.v3i2.41

Abstract

The intermittent nature of photovoltaic (PV) power generation due to weather conditions and time of day can affect the ability of PV systems to satisfy load demand. An effective PV system must store excess electrical energy when generation exceeds demand and discharge stored energy when demand is greater than generation. This study utilizes MATLAB simulations to design and evaluate DC-DC converter circuits for battery charging and discharging in PV systems. For charging, a buck converter with a fixed 45 V source is able to reduce voltage to a range of 33.99 V to 1.46 V by decreasing the duty cycle. For discharging, a boost converter with a fixed 12.8V source can increase voltage to 16.90 V–33.49 V by raising the duty cycle. Furthermore, under equal comparison, the open-loop buck converter operating at a 35% duty cycle demonstrates worse overshoot of 14.36% versus 0.24% for the closed-loop PID controlled buck converter. Similarly, the open-loop boost converter at 70% duty cycle exhibits slightly higher overshoot of 0.47% compared to negligible overshoot for the closed-loop PID controlled boost converter.
A Hybrid Technique for Fault Classification and Location in a Jointed Overhead-Underground Distribution Line Dorothy W. Gicheru; Edwell T. Mharakurwa; Waweru Njeri
Andalas Journal of Electrical and Electronic Engineering Technology Vol. 3 No. 2 (2023): November 2023
Publisher : Electrical Engineering Dept, Engineering Faculty, Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/ajeeet.v3i2.51

Abstract

The electrical distribution system is crucial for the utility grid to transmit power from generators to consumers. Considering the intricate structure of distribution systems and their significant role in power networks, establishing a robust fault classification and location scheme is vital. Due to ageing, distribution systems are often prone to faults from factors like poor operational conditions and wear and tear. The line faulting rate and the pertinent restoration epochs influence the frequency and duration of power disruptions. Thus, precisely locating the fault section is essential to minimize power restoration timeframes. This paper presents a hybrid fault classification and location technique in a combined continuous overhead and underground distribution line. A simulation of the hybrid model was designed in Simulink for an 11 kV combined continuous overhead and underground electrical distribution line, considering short circuit faults as they are the most predominant and cause massive damage in distributed systems. The proposed technique first classifies the fault using Discrete Wavelet Transforms (DWT) and Multi-layer Perceptron-Artificial Neural Networks (MLP-ANN). Next, the impedance and Adaptive Neuro-Fuzzy System (ANFIS) based technique is employed for fault location. At a sample rate of 50 kHz, the DWT was applied to current signals and the coefficients used for ANN training, while phase impedance values were used as input to the ANFIS for training. The simulation results showed accuracy of 96.6% for fault classification and 99.17% for fault location. The developed models can significantly enhance fault location for speedier outage resolution by promptly repairing the affected distribution lines.
Analyzing Troubleshooting of BTS Transmit Power and 4G LTE Coverage Area via VSWR Value Measurement Nadila Khairanisa; Siska Aulia; Sri Yusnita; Yulindon Yulindon
Andalas Journal of Electrical and Electronic Engineering Technology Vol. 3 No. 2 (2023): November 2023
Publisher : Electrical Engineering Dept, Engineering Faculty, Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/ajeeet.v3i2.57

Abstract

The Voltage Standing Wave Ratio (VSWR) serves as a comparative measure between transmitter and receiver voltages, impacting site transmit power. VSWR values at a Radio Base Station (RBS) are evident in feeder cable losses, jumpers, combiners, and radio antenna losses. This study aims to assess the impact of poor VSWR values on BTS transmit power and perform troubleshooting analysis on 4G signal quality and Coverage Area. The study commenced with a literature review and VSWR measurements in the Gurun Laweh Aia Pacah region. The process involved identifying VSWR issues at the BTS site, conducting a Drive Test using pocket Tems, and troubleshooting the VSWR problem. Drive Test findings encompassed areas with weak signals, BTS site data, and problematic spots. The analysis utilized applications like Tems Discovery and MapInfo Pro. Results along the Gurun Laweh Aia Pacah road showed signal strength affected by a high VSWR value of 1.6. RSRP data rated 50% in the good category, SINR at 31% in the good category, and throughput at 5% in the good category. Elevated VSWR values diminish signal range, subsequently impacting traffic metrics. Immediate VSWR troubleshooting becomes imperative; low VSWR promotes higher transmit power efficiency, while normal VSWR ensures optimal transmit power efficiency.
Design of Power Factor Monitoring System Based on Android Application Fadhillah Hazrina; Inu Yuni Erawati; Galih Mustiko Aji; Devi Taufiq Nurrohman
Andalas Journal of Electrical and Electronic Engineering Technology Vol. 3 No. 2 (2023): November 2023
Publisher : Electrical Engineering Dept, Engineering Faculty, Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/ajeeet.v3i2.62

Abstract

Electrical energy is an essential resource for human needs. The prolific utilization of electrical devices accounts for high energy consumption patterns. Resistive and inductive loads characterize conventional electrical equipment. In practice, the properties of electrical loads impact energy demand and system efficiency. Thus, power factor correction presents a viable strategy to improve electrical energy efficiency. This research aims to develop an Internet of Things-integrated power factor monitoring system. When connected to Wi-Fi, the system employs a PZEM-004T sensor to monitor current, voltage, power, and power factor measurements from the load in the absence of active monitoring. The ESP32 microcontroller processes the sensor data. Then, control programs running on the microcontroller instruct a relay to engage capacitive banks accordingly. The system displays output metrics on a Liquid Crystal Display and Android application. Experimental results indicate that a single-phase electric motor operates at a baseline power factor of 0.31. However, integration of the factor correction tool detailed herein improves the power factor to 0.98 for the given load.
Fabrication of Smart Meter for Accurate Use in Home and Industry Nicholas Kirui; Charles Kagiri; Titus Mulembo
Andalas Journal of Electrical and Electronic Engineering Technology Vol. 3 No. 2 (2023): November 2023
Publisher : Electrical Engineering Dept, Engineering Faculty, Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/ajeeet.v3i2.63

Abstract

This study addresses the challenges posed by conventional energy meters, which rely on manual readings, leading to human errors and inefficiencies. In response to this, a battery-powered smart meter was developed utilizing an STM32 microcontroller, ADE7758 and STPM32 metering integrated circuits (ICs), SIM and ESP32 communication modules, along with a MYSQL database. Real-time energy data from both single and three-phase appliances were collected, and their energy consumption, errors, Mean Absolute Error (MAE), and Root Mean Squared Error (RMSE) were quantified. The model demonstrated an acceptable accuracy level, with an estimated MAE of approximately 2.912 units and an estimated RMSE of around 4.048 units, particularly in predicting motor power consumption. Additionally, ARIMA forecasting was applied to a three-phase asynchronous motor, revealing an average active motor power of 250.95 watts, indicating precise results over time.
Analyzing Tensile Testing and Humidity Effects on Polyvinyl Alcohol, Polypyrrole Composites for Strain Sensing Yunus, Syukri; Rafif, Rifqi; Aulia; Ahmad, Mohammad Hafizi
Andalas Journal of Electrical and Electronic Engineering Technology Vol. 4 No. 1 (2024): May 2024
Publisher : Electrical Engineering Dept, Engineering Faculty, Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/ajeeet.v4i1.91

Abstract

Biocomposite strain sensors must enhance their electrical properties and understand the impact of humidity on these properties. This study aimed to enhance the current density and specific capacitance of polyvinyl alcohol (PVA) and polypyrrole (Ppy) composite materials for strain sensors. The materials were prepared by blending polyvinyl alcohol and polypyrrole, followed by magnetic stirring, drying, and stretching. Current density and specific capacitance measurements were taken before and after the stretching process and at three distinct relative humidity levels (50%, 75%, and 93%). After the tensile test, the results indicated a significant increase in current density by 128.46% and a corresponding rise in specific capacitance by 112.57%. Furthermore, with an increase in relative humidity from 50% to 75%, current density and specific capacitance exhibited remarkable growth of 445.95% and 899.44%, respectively. The subsequent shift from 75% to 93% relative humidity resulted in a comparatively lower percentage increase in current density and specific capacitance at 22.59% and 10.29%, respectively, due to a decrease in hydroxyl bonds. These findings align with the material's characteristic tests, confirming that the improved electrical properties can be attributed to a more uniform distribution of polypyrrole during the stretching process and increased hydroxyl bonds associated with higher humidity levels. As electrical properties increase, the sensor's sensitivity will also rise.
Advancing Glucose Monitoring: A Near-Infrared Device for Continuous Invasive Assessment Kirui, Julius; Mathew K. Munji; Raphael L Nyenge
Andalas Journal of Electrical and Electronic Engineering Technology Vol. 4 No. 1 (2024): May 2024
Publisher : Electrical Engineering Dept, Engineering Faculty, Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/ajeeet.v4i1.96

Abstract

Diabetes is a chronic disease that affects millions of people worldwide, with the number of newly diagnosed cases continuing to rise at an alarming rate. Patients diagnosed with diabetes require routine monitoring of their blood glucose levels, which is commonly done through invasive and minimally invasive techniques. However, these methods are often painful, prone to infection, and costly in the long run. Therefore, it is necessary to develop non-invasive, pain-free, affordable glucose monitoring techniques. Near-infrared spectroscopy has emerged as a promising technique among the non-invasive techniques for glucose monitoring, with several studies reporting its efficacy in detecting glucose concentration. This study designed and developed a near-infrared system based on an 1150nm wavelength for continuous non-invasive glucose monitoring. The system gave the output voltages that vary with increased glucose concentrations. It was ascertained from the Clark error grid analysis that the glucose concentration falls within region A and region B. This implies that the device is suitable for measuring glucose concentration non-invasively. As per Bland Altman's analysis, the majority of the data points were within both limits of agreement except one data point that was outside the upper limit of agreement, indicating 93% degree of accuracy, and the residual plot indicates that the regression model for the system is appropriate for predicting non-invasive glucose measurements.