cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
Alfian Maarif
Contact Email
alfianmaarif@ee.uad.ac.id
Phone
-
Journal Mail Official
biste@ee.uad.ac.id
Editorial Address
-
Location
Kota yogyakarta,
Daerah istimewa yogyakarta
INDONESIA
Buletin Ilmiah Sarjana Teknik Elektro
Published by Universitas Ahmad Dahlan
ISSN : 26857936     EISSN : 26859572     DOI : 10.12928
Core Subject : Engineering,
Electrical & Electronics Engineering
Buletin Ilmiah Sarjana Teknik Elektro (BISTE) adalah jurnal terbuka dan merupakan jurnal nasional yang dikelola oleh Program Studi Teknik Elektro, Fakultas Teknologi Industri, Universitas Ahmad Dahlan. BISTE merupakan Jurnal yang diperuntukkan untuk mahasiswa sarjana Teknik Elektro. Ruang lingkup yang diterima adalah bidang teknik elektro dengan konsentrasi Otomasi Industri meliputi Internet of Things (IoT), PLC, Scada, DCS, Sistem Kendali, Robotika, Kecerdasan Buatan, Pengolahan Sinyal, Pengolahan Citra, Mikrokontroller, Sistem Embedded, Sistem Tenaga Listrik, dan Power Elektronik. Jurnal ini bertujuan untuk menerbitkan penelitian mahasiswa dan berkontribusi dalam pengembangan ilmu pengetahuan dan teknologi.
Arjuna Subject : -
Articles 10 Documents
 1 
Search results for , issue "Vol. 6 No. 1 (2024): March" : 10 Documents clear
Implementing PID Control on Arduino Uno for Air Temperature Optimization Akbar, Afindra Hafiedz; Ma’arif, Alfian; Rekik, Chokri; Abougarair, Ahmed J; Mekonnen, Atinkut Molla
Buletin Ilmiah Sarjana Teknik Elektro Vol. 6 No. 1 (2024): March
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/biste.v6i1.9725

Abstract

This research investigates the precise regulation of liquid filling in tanks, specifically focusing on water storage systems. It employs the Proportional-Integral-Derivative (PID) control method in conjunction with an HC-SR04 ultrasonic sensor and an Arduino Uno microcontroller. Given the paramount importance of water as a resource, accurate management of its storage is of utmost significance. The PID control method, known for its rapid responsiveness, minimal overshoot, and robust stability, effectively facilitates this task. Integrating the ultrasonic sensor and microcontroller further augments the precision of water level regulation. The article expounds upon the foundational principles of the PID control method and elucidates its application in the context of liquid tank filling. It offers a comprehensive insight into the hardware configuration, encompassing pivotal components such as the Arduino Uno microcontroller, HC-SR04 ultrasonic sensor, and the L298 driver responsible for water pump control. The experimental approach is meticulous, presenting results from tests involving the Proportional Controller, Proportional Integral (PI) Controller, and Proportional Integral Derivative (PID) Controller. These tests rigorously analyze the impact of varying Proportional Gain (Kp), Integral Gain (Ki), and Derivative Gain (Kd) parameters on crucial performance metrics such as response time, overshoot, and steady-state error. The findings underscore the critical importance of an optimal parameter configuration, emphasizing the delicate equilibrium between response speed, precision, and error minimization. This research significantly advances PID control implementation in liquid tank filling, offering insights that pave the way for developing more efficient liquid management systems across various sectors. The identified optimal parameter configuration is Kp = 5.0, Ki = 0.3, and Kd = 0.2.
Dependability of the Explorer Autonomous Underwater Vehicle in Oil Plume Response Mission; Case Study of the Vehicle Roll Control Azarsina, Farhood
Buletin Ilmiah Sarjana Teknik Elektro Vol. 6 No. 1 (2024): March
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/biste.v6i1.9906

Abstract

Oil plume dispersion in water depth is an applied topic to study, and a practical way to respond to such a catastrophic event is to deploy an autonomous underwater vehicle (AUV) in the area. With notice that the underwater oil flows upward to the surface and in the meantime disperses into larger radii, a conical helix can be a suitable candidate for maneuvering about the oil spill.A helix maneuver requires steady control of the roll angle of the vehicle. Therefore, roll control adverse yaw, which originated in aviation, would be a concern for underwater navigation too. The correcting actuator signal that can adjust the vehicle's yaw angle, and therefore maintain its heading angle, shall be provided by the rudders or stern planes of the vehicle. Then the methodology of this research is to analyze the dependability of the rudder’s subsystem as a network of components in series. The dependability analysis that is performed here is in a series block diagram that is based on a minimal cut series. The results of this study show that the dependability of the engineering subsystems in an unmanned underwater vehicle can directly influence the outcome of a sensitive marine environmental protection project. Results show that the stern planes by more than a 90 percent chance can manage to control the maneuvering goals.
Hybrid System Prototype for Dam Water Level Control System to Irrigating Rice Fields Hidayat, Agung Wahyu; Sulistiyowati, Indah; Wicaksono, Arief; Syahrorini, Syamsudduha
Buletin Ilmiah Sarjana Teknik Elektro Vol. 6 No. 1 (2024): March
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/biste.v6i1.10016

Abstract

Naturally, one of the causes of crop failure in agriculture is flooding brought on by unchecked water overflow, particularly during the rainy season. Crop failure is a common source of complaints from farmers because, in addition to making it harder for them to sell their harvests, it decreases the price at which rice is sold to customers, which reduces the amount of people who purchase rice. This project aims to develop a hybrid dam water level control system prototype for paddy field irrigation. In this instance, the innovative flood monitoring and control system integrates Blynk as a user interface that can be accessible via software, along with an ESP 32 monitoring unit and a NodeMCU 8266 controller. like smartphone devices. The ESP 32 controls servo motor 1 to open the dam door in the event of flooding. In addition, the ESP 32 monitors the dam's water level using the I2C LCD and alerts the user with a bell. The NodeMCU 8266 functions as a link to the ultrasonic sensor to relay the water level data to the ESP 32. Through the Blynk application, the user can manually control Servo motor 2 to open and close the dam door with configurable water level limitations. The results of the studies indicate that this system functions flawlessly, from setting up a warning system to connecting tools. The system may be manually operated by making use of microcontroller technology.
Comparative Analysis of Machine Learning Models for Tree Species Classification from UAV LiDAR Data Airlangga, Gregorius
Buletin Ilmiah Sarjana Teknik Elektro Vol. 6 No. 1 (2024): March
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/biste.v6i1.10059

Abstract

Forest ecosystems play a pivotal role in maintaining global biodiversity and climate balance. The precise identification of tree species via remote sensing technologies is vital for effective ecological surveillance and forest stewardship. This research conducts a comparative analysis of various machine learning algorithms for the binary classification of tree species utilizing LiDAR data captured by Unmanned Aerial Vehicles (UAVs). We analyzed a dataset featuring 192 trees from a diverse forest, employing models such as Logistic Regression, Support Vector Machine (SVM), Random Forest, K-Nearest Neighbors (KNN), Gradient Boosting, and Decision Trees. These models were assessed on their accuracy, precision, recall, and F1-scores to ascertain their efficacy. Our findings reveal that Logistic Regression and SVM were superior, achieving precision and recall scores up to 0.96, indicating their robust predictive capability. In contrast, KNN underperformed, suggesting the need for parameter refinement. Although ensemble methods demonstrated resilience, they were more prone to overfitting in comparison to the more straightforward Logistic Regression and SVM models. Preliminary data preprocessing and feature engineering techniques are discussed, enhancing the models' performance. This work enriches the domain of remote sensing and ecological monitoring by offering an in-depth evaluation of machine learning models for tree species classification, underscoring their advantages and constraints. It underscores the transformative potential of machine learning in refining ecological analysis precision, thereby aiding in the pursuit of sustainable forest management. Future research directions could include model refinement through advanced feature selection or the exploration of novel machine learning algorithms for improved classification accuracy.
Implementation of GPS as a Validation System for Computer Laboratory Practicum Attendance Prasetya, Anang Nur; Supriyanto, Supriyanto
Buletin Ilmiah Sarjana Teknik Elektro Vol. 6 No. 1 (2024): March
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/biste.v6i1.10064

Abstract

The attendance system is a data management system for tracking individual or institutional attendance automatically, catering to personal or organizational management needs. Its primary objective is to serve as evidence of participation in activities, particularly in educational settings, where it validates attendance during the teaching and learning process, making attendance crucial. Manual attendance-taking in the Informatics Engineering Practicum at Ahmad Dahlan University is prone to difficulties in calculation, as well as risks of torn, wet, or lost attendance sheets, leading to prolonged processing times. The development of the Reglab application aims to enhance efficiency by securely managing attendance data, replacing manual processes. Additionally, it will integrate GPS technology to validate that practical activities occur within the laboratory. The Agile methodology guides the development of Reglab, leveraging existing systems while ensuring that resources are allocated effectively to accommodate the increasing volume of student and practicum schedule data. Student data will only be utilized for practicum registration, scheduling, and attendance purposes. The Agile approach ensures that the product output meets usability and user experience standards. System evaluation involves Blackbox testing and addressing user complaints received by the laboratory, with results aligning with expectations and a reduction in reported issues.
Designing a Monitoring System and Optimizing Water Quality in Tilapia Farming Ponds in Phokecik Hamlet Using Ubidots Efendi, Muhammad Taufik Nur; Sulistiyowati, Indah; Syahrorini, Syamsudduha; Anshory, Izza
Buletin Ilmiah Sarjana Teknik Elektro Vol. 6 No. 1 (2024): March
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/biste.v6i1.10090

Abstract

There are several important factors to increase the success rate of tilapia farming. Among them is the regulation of water quality in the pond, which is still mostly done manually. Therefore, a water quality management tool for Ubidots-based tilapia fish farming ponds is made to facilitate tilapia fish farmers in regulating the quality of pond water automatically. so the importance of water quality management of tilapia fish farming ponds is a follow-up to reduce the failure rate in the cultivation process. The components used in this tool are Esp32 as a microcontroller, ph sensor as a water ph value detector, DS18B20 temperature sensor as water temperature detection and turbidity sensor as a water turbidity value detector, Ultrasonic sensor as a pool water level detector, LCD to display the value detected by the sensor, solenoid valve and water pump that functions to drain and fill the pool water. The conclusion of the results obtained from this device is that the device works well and helps tilapia fish farm owners to monitor and control water quality efficiently, although there are some obstacles such as delays due to internet connections. so maybe in the future it can add a solar cell as a power supply for the automatic control process in this system.
Performance Evaluation of Deep Learning Techniques in Gesture Recognition Systems Airlangga, Gregorius
Buletin Ilmiah Sarjana Teknik Elektro Vol. 6 No. 1 (2024): March
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/biste.v6i1.10120

Abstract

As human-computer interaction becomes increasingly sophisticated, the significance of gesture recognition systems has expanded, impacting diverse sectors such as healthcare, smart device interfacing, and immersive gaming. This study conducts an in-depth comparison of seven cutting-edge deep learning models to assess their capabilities in accurately recognizing gestures. The analysis encompasses Long Short-Term Memory Networks (LSTMs), Gated Recurrent Units (GRUs), Convolutional Neural Networks (CNNs), Simple Recurrent Neural Networks (RNNs), Multi-Layer Perceptrons (MLPs), Bidirectional LSTMs (BiLSTMs), and Temporal Convolutional Networks (TCNs). Evaluated on a dataset representative of varied human gestures, the models were rigorously scored based on accuracy, precision, recall, and F1 metrics, with LSTMs, GRUs, BiLSTMs, and TCNs outperforming others, achieving an impressive score bracket of 0.93 to 0.95. Conversely, MLPs trailed with scores around 0.59 to 0.60, underscoring the challenges of non-temporal models in processing sequential data. This study pinpoints model selection as pivotal for optimal system performance and suggests that recognizing the temporal patterns in gesture sequences is crucial. Limitations such as dataset diversity and computational demands were noted, emphasizing the need for further research into models' operational efficiencies. Future studies are poised to explore hybrid models and real-time processing, with the prospect of enhancing gesture recognition systems' interactivity and accessibility. This research thus provides a foundational benchmark for selecting and implementing the most suitable computational methods for advancing gesture recognition technologies.
Prototype Design of Air Quality Control Blower at PT SINAR INDOGREEN KENCANA Production Area Prayudha, Mufit Yogie; Sulistiyowati, Indah; Saputra, Dwi Hadidjaja Rasjid
Buletin Ilmiah Sarjana Teknik Elektro Vol. 6 No. 1 (2024): March
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/biste.v6i1.10122

Abstract

PT SINAR INDOGREEN KENCANA is a company that produces AAC (Autoclave Aerated Concrete) lightweight bricks, the existence of a limestone grinding machine (Mill MTW) into lime powder and maturation of raw materials with the steam process of the autoclave machine, as well as the occurrence of rain that disrupts air circulation in the production area, causing a lot of dust and hot water vapor from the machining process to enter the production area, thus disrupting the performance of employees. This research aims to design a prototype blower for air quality control in the production area of PT SINAR INDOGREEN KENCANA. Where this system is designed to control and monitor dust and temperature levels, utilizing ESP8266 as a monitoring unit and Arduino UNO as a controller, with Blynk integration as a user interface. In operation, ESP8266 monitors dust levels and temperature through the I2C LCD, turning on the blower to suck dust and water vapor from the remaining hot production. Arduino UNO as a link between the GP2Y1010AU0F sensor for dust detection and the DHT22 sensor for temperature detection, sends data on dust levels and temperature to ESP8266. Through the BLYNK application, users can find out dust levels, temperature, and whether the blower is on or off. The application of this system obtained the result that the whole system provides an integrated and effective solution for controlling air quality in the production area of PT SINAR INDOGREEN KENCANA.
Implementation of Digital Feedback Control with Change Rate Limiter in Regulating Water Flow Rate Using Arduino Sitompul, Erwin; Putra, Ridha Muhlita; Tarigan, Hendra; Silitonga, Arthur; Bukhori, Iksan
Buletin Ilmiah Sarjana Teknik Elektro Vol. 6 No. 1 (2024): March
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/biste.v6i1.10234

Abstract

Water flow rate control is crucial in applications where it determines operational efficiency in applications such as agriculture, hydroponics, industrial processes, and hydrology. This research presents two algorithms for a simple and reliable digital water flow control: Error-Sign-based Control (ESC) and Error-Value-based Control (EVC). These algorithms are equipped with a change rate limiter to avoid excessive control output increase. They were compared qualitatively with the conventional digital PID controller. Subsequently, they were implemented and tested in a water circulation system. The control loop consisted of a microcontroller, water flow rate sensor, and submersible DC water pump with a supporting motor driver. The controllers were given a control task to follow a 150-second reference trajectory with a changing set point every 30 seconds. The performance measures of Mean Absolute Error (MAE) and Root Mean Square Error (RMSE) were utilized to assess the performance of the control algorithms. EVC with a change rate limiter of 10% delivered the best performance with an MAE of 0.40 and RMSE of 0.97. EVC provides simple and reliable control of the water flow rate system due to its easy tuning, quick tracking response to set point changes, and solid regulating performance. Further work in the implementation of the control scheme in other applications is encouraged.
Improving Power Quality in High-Rise Buildings with a Single-Tone Passive Filter and Capacitor Bank Kasbi, Ahmad Aminul; Ruliyanta, Ruliyanta; Keraf, Adhyathta
Buletin Ilmiah Sarjana Teknik Elektro Vol. 6 No. 1 (2024): March
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/biste.v6i1.10365

Abstract

Total harmonic distortion and a low power factor are critical issues affecting power quality in modern high-rise buildings. Non-linear loads generated by highly efficient electrical equipment cause total harmonic distortion. On the other hand, low power factor is caused by induction machines, excessively long cables, and inefficient equipment. This research aims to design a single-tunable filter and capacitor bank to address power quality issues. Our method involves utilizing a single-line building design diagram and conducting load simulations using ETAP 19.0.1 software. Our method is a harmonic load flow analysis. We use this method to calculate the harmonic distribution at various points within the electrical network. Harmonic flow analysis aids in identifying the harmonic contributions from various non-linear loads within the system. For research, we implemented a single-tuned passive filter and capacitor bank in the building's electrical system. We initiate the study by analyzing the transformer's total harmonic distortion (THD) and then make iterative adjustments to parameter values until we achieve compliance with the IEEE 519-2014 standard. As a result, the study recommends the installation of two single-tuned filters for orders 5 and 7, as well as the inclusion of a capacitor bank with a capacity of XXX. This reduces the system's THDi value from 21.77% to 4.45% and 22.63% to 4.45%, respectively. The power factor increased from 85.78% to 99.69% and 88.68% to 99.41%, respectively.

Page 1 of 1 | Total Record : 10

 1 

Filter by Year

2024 2024


Reset
Filter By Issues
All Issue Vol. 8 No. 1 (2026): February Vol. 7 No. 4 (2025): December Vol. 7 No. 3 (2025): September Vol. 7 No. 2 (2025): June Vol. 7 No. 1 (2025): March Vol. 6 No. 4 (2024): December Vol. 6 No. 3 (2024): September Vol. 6 No. 2 (2024): June Vol. 6 No. 1 (2024): March Vol. 5 No. 4 (2023): December Vol. 5 No. 3 (2023): September Vol. 5 No. 2 (2023): June Vol. 5 No. 1 (2023): March Vol. 4 No. 3 (2022): December Vol. 4 No. 2 (2022): Agustus Vol. 4 No. 1 (2022): April Vol. 3 No. 3 (2021): Desember Vol 3, No 2 (2021): Agustus Vol. 3 No. 2 (2021): Agustus Vol 3, No 1 (2021): April Vol. 3 No. 1 (2021): April Vol. 2 No. 3 (2020): Desember Vol 2, No 3 (2020): Desember Vol 2, No 2 (2020): Agustus Vol. 2 No. 2 (2020): Agustus Vol 2, No 1 (2020): April Vol. 2 No. 1 (2020): April Vol 1, No 3 (2019): Desember Vol. 1 No. 3 (2019): Desember Vol. 1 No. 2 (2019): Agustus Vol 1, No 2 (2019): Agustus Vol 1, No 1 (2019): April Vol. 1 No. 1 (2019): April More Issue