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Alfian Maarif
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INDONESIA
Buletin Ilmiah Sarjana Teknik Elektro
ISSN : 26857936     EISSN : 26859572     DOI : 10.12928
Core Subject : 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 295 Documents
Enhancing UAV Navigation in Dynamic Environments: A Detailed Integration of Fick's Law Algorithm for Optimal Pathfinding in Complex Terrains Airlangga, Gregorius
Buletin Ilmiah Sarjana Teknik Elektro Vol. 5 No. 4 (2023): December
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/biste.v5i4.9697

Abstract

In the realm of Unmanned Aerial Vehicles (UAVs), efficient navigation in complex environments is crucial, necessitating advanced pathfinding algorithms. This study introduces the Fick's Law Algorithm (FLA) for UAV path optimization, drawing inspiration from the principles of molecular diffusion, and positions it in the context of existing algorithms such as A* and Dijkstra's. Through a comparative analysis, we highlight FLA's unique approach and advantages in terms of computational efficiency and adaptability to dynamic obstacles. Our experiment, conducted in a simulated three-dimensional space with static and dynamic obstacles, involves an extensive quantitative analysis. FLA's performance is quantified through metrics like path length reduction, computation time, and obstacle avoidance efficacy, demonstrating a marked improvement over traditional methods. The technical foundation of FLA is detailed, emphasizing its iterative adaptation based on a cost function that accounts for path length and obstacle avoidance. The algorithm's rapid convergence towards an optimal solution is evidenced by a significant decrease in the cost function, supported by data from our convergence graph. Visualizations in both 2D and 3D effectively illustrate the UAV’s trajectory, highlighting FLA's efficiency in real-time path correction and obstacle negotiation. Furthermore, we discuss FLA's practical implications, outlining its adaptability in various real-world UAV applications, while also acknowledging its limitations and potential challenges. This exploration extends FLA's relevance beyond theoretical contexts, suggesting its efficacy in real-world scenarios. Looking ahead, future work will not only focus on enhancing FLA's computational efficiency but also on developing specific methodologies for real-world testing. These include adaptive scaling for different UAV models and environments, as well as integration with UAV hardware systems. Our study establishes FLA as a potent tool for autonomous UAV navigation, offering significant contributions to the field of dynamic path optimization.
Trends in the Development of Basic Computer Education at Universities Dolinsky, Michael
Buletin Ilmiah Sarjana Teknik Elektro Vol. 5 No. 4 (2023): December
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/biste.v5i4.9704

Abstract

Basic computer education in universities is experiencing huge problems. On the one hand, the amount of knowledge that a university graduate must have is increasing very quickly. On the other hand, the contingent of students varies greatly in terms of the level of training and motivation, and the level of this differentiation is constantly growing. As a result, the complexity of training and the percentage of dropouts increase. Scientists and educators are looking for a solution to these problems in the following areas: revising the knowledge necessary for obtaining at the university in the direction of the reality of their receipt in the allotted time; the use of new information technologies to simplify the learning process and improve its quality; development of the latest teaching methods that take into account the realities. This paper presents a strategic document in the field of computer education at universities - Computing Circulum 2020, as well as an overview of the areas of development of basic computer education, such as learning using artificial intelligence, virtual laboratories, microprocessor kits and robotics, WEB - systems for distance and blended learning, mobile application development, visual programming, gamification, computer architecture & organization, programming languages, learning technologies. In addition, the author gives his experience and vision of teaching basic computer education at universities.
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.
Design of PIFA Antenna Using Systematic Tuning for Long Range Communication Sabila, Liya Yusrina; Prakoso, Teguh; Riyadi, Munawar Agus
Buletin Ilmiah Sarjana Teknik Elektro Vol. 5 No. 4 (2023): December
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/biste.v5i4.9844

Abstract

Communication with a wireless system is one of the mainstays of communication so that communication integration is achieved. In this application, of course, an antenna is needed to send information waves to the receiver. It is also hoped that the antenna can be integrated with other components into an integrated system. There are several challenges that need to be answered to make this happen. Namely, the size of the antenna is small and the shape of the antenna can adjust to the shape of the object being integrated, for example a circle or cylinder shape. The antenna chosen to realize this challenge is the Planar Inverted F Antenna (PIFA). PIFA antennas are widely used in communication devices because their shape and size can be adjusted to the dimensions of the device. The technique used to create curved shapes is a conformal technique. To streamline the antenna design steps, the system tuning method is applied when simulating the design. The results achieved use a system tuning method which can reduce the experimental steps to just 6 experimental steps. The antenna designed works in the frequency range 916.9 – 933 MHz, the resonant frequency of 925.6 MHz with S11 is -12.5 dB, bandwidth 16.1 MHz, and the radiation pattern is omnidirectional.
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.
Image Classification of Wayang Using Transfer Learning and Fine-Tuning of CNN Models Banjaransari, Muhammad; Prahara, Adhi
Buletin Ilmiah Sarjana Teknik Elektro Vol. 5 No. 4 (2023): December
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/biste.v5i4.9977

Abstract

Wayang (shadow puppetry) is a traditional puppetry used in a performance to tell a story about the heroism of its main characters. Wayang has gained recognition as a cultural masterpiece by UNESCO. However, this cultural heritage now declining and not many people know about wayang. One of the solutions is using computer vision technology to classify wayang images. In this research, a transfer learning approach using Convolutional Neural Network (CNN) models namely MobileNetV2 and VGG16 followed by fine-tuning was proposed to classify wayang. The dataset consists of 3,000 images divided into 30 classes. This data is split into training and test data that are utilized for training and evaluating the model. Based on the evaluation, the MobileNetV2 model achieved precision, recall, F1-score, and accuracy of 95%, 94%, 94%, and 94.17%, respectively. Meanwhile, the VGG-16 model obtained 93% for all metrics. It can be concluded that transfer learning and fine-tuning using the MobileNetV2 model produces the best result in classifying wayang images compared to the VGG16 model. With good performance, the proposed method can be implemented on mobile applications to provide information about wayang from the captured images, thus indirectly supporting the preservation of cultural heritage in Indonesia.
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.
One-Shot Pulse Boost Converter-Based Inductor-Synchronized Piezoelectric Energy Harvester Sutikno, Tole; Pradana, Muhammad Sukmadika; Pamungkas, Anggit
Buletin Ilmiah Sarjana Teknik Elektro Vol. 6 No. 2 (2024): June
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/biste.v6i2.10020

Abstract

In this paper, we aim to review current methods of energy harvesting, focusing on piezoelectric energy. To optimize the use of piezoelectric devices in applications, a model is needed to observe the performance generated from piezoelectricity. To achieve better performance, the rectifier and capacitor systems are connected to a boost converter circuit. Another method is to use the Synchronized Switch Harvesting Inductor (SSHI) method. This method implements a stand-alone switching technique based on transistors and rectifier diodes and does not require an external power supply. This research creates an electric energy harvesting floor device by utilizing piezoelectricity in the form of a harvester, which aims to find out how piezoelectric works and to obtain a circuit with the most efficient characteristics as a piezoelectric power generator using SSHI and a boost converter. This study compares the characteristics of series, parallel, and series-parallel circuits on the floor of the most optimal piezoelectric energy harvester to generate voltage. The results of the data collection were based on the number of steps on the floor of the 16-piece piezoelectric energy harvester with a series-parallel circuit configuration connected with an SSHI circuit and without an SSHI circuit. In this test, the resulting voltage output is a DC voltage with an input step of 60 times the step on piezoelectricity. In this paper, an energy harvester using the SSHI circuit provides a more stable voltage on the harvester floor than a boost converter by providing 16 piezoelectric pieces arranged in series parallel. A floor energy harvester with a series-parallel configuration connected to SSHI gets the most optimal result compared to using a boost converter.
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.