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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.
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Articles 22 Documents
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Search results for , issue "Vol. 5 No. 4 (2023): December" : 22 Documents clear
The Use of Alternative Energy as a Driver Fishing Boat IS, Nina Paramytha; Ariyadi, Tamsir
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.v5i4.9127

Abstract

The use of outboard engines commonly used by fishing boats is considered no longer effective, considering the price of BBM (Fuel Oil) which always increases and the effects caused by the use of outboard engines are not environmentally friendly such as producing noise and air pollution caused. This research aims to overcome the problems of using outboard engines by utilizing solar panels to convert sunlight into electrical energy and DC 775 motors as boat propulsion. The use of solar panels with a tracker system to maximize solar panels in producing electrical energy which is then stored in a battery to drive a DC motor. The results of the calculation of a battery with a capacity of 20 Ah can drive the boat for 3.7 hours, where fishermen need 1 liter of fuel to run the outboard engine for 30 minutes. The maximum boat speed generated is 5.76 knots. The results of the analysis in terms of costs incurred for fuel operations are 0% because they utilize sunlight and there is no pollution and noise generated when the boat works. Future development can replace the battery with a larger capacity and add solar panels for faster battery charging. With this research, researchers hope to help fishermen in reducing operational costs and the success of catching more fish.
High Accuracy Dual Probe Station for Near Field Scanning Yuwono, Tito; Baharuddin, Mohd Hafiz
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.v5i4.9132

Abstract

Electromagnetic (EM) emissions are a major issue for electronic products. Besides electronic products being able to work according to their function, they must also comply with EMC standards to avoid producing excessive EM emissions. One technique for measuring EM emissions is near field measurements. This measurement technique can be used to determine the faulty components which contribute to the failure of complying to the EMC standards. A near field measurement system consists of near field probes, digital oscilloscope, and a probe station which can control the movement of the near field probe during measurement process. In this paper, the design and development of a dual probe near field measurement system or station with high accuracy will be discussed. From instrument testing, it can be concluded that the probe station can cover ample scanning area with movement accuracy up to 0.05 mm and it is able to work well according to the test scenario. The designed probe station is verified by measurement and highly recommended to be used for near field measurements.
Optimizing Banana Type Identification: An Support Vector Machine Classification-Based Approach for Cavendish, Mas, and Tanduk Varieties Pamungkas, Aji; Fadlil, Abdul
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.v5i4.9145

Abstract

This research focuses on addressing the need for improved efficiency in the agricultural sector, particularly in banana processing in Indonesia, where the demand for bananas is consistently high. To improve the efficiency of banana processing, the research proposes the development of a machine learning based solution for automatic banana type selection. This solution uses image data of three banana types (Cavendish, Mas, and Tanduked) captured by a microscopic camera. The images are subjected to feature extraction, and a Support Vector Machine (SVM) algorithm is used to train the model. The results are implemented in a graphical user interface (GUI). The experimental results show promising results, with an accuracy of 86.67%, a precision of 87.78%, and an error rate of 13.33%, achieved with SVM parameters of C = 1000 and a linear kernel. This automated approach provides a practical and sustainable solution to the labor-intensive manual banana variety selection process, thus increasing the efficiency of the banana processing industry.
Designing Business Intelligence Dashboards to Support Decision-Making in a Fishery Business Raihanto, Muhammad Satya; Febrianti, Melinska Ayu; Qurtubi, Qurtubi; Setiawan, Danang; Auliana, Windi
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.v5i4.9207

Abstract

Accurate assessment and thorough analysis of managerial performance are essential in obtaining enhanced business performance. A real-time monitoring system is necessary to support the decision-making process. This study aims to design a business intelligence dashboard containing real-time monitoring of water quality to support the decision-making of the management team of an agribusiness company. Four steps were used in designing the business intelligence (BI) dashboard: (1) scope and plan, (2) analyze and define, (3) architect and design, and (4) build, test, and refine. The study started with determining the scope and plan for developing the BI dashboard to monitor the water pond’s quality in real time. The requirements of system input and output were identified in the analyze and define phase. The data warehouse model and design visualization regarding the BI dashboard were determined in the architect and design step. The system's architecture was analyzed in the final step, build and test. Three months of data collection and interviews with the management team of the fishery company were performed to support each step in BI design. This study’s outcome is a BI dashboard providing real-time monitoring that supports the management team's decision-making process. This study still considers two water quality measures; therefore, future research can be conducted using other measures. Future research can also be performed on another agribusiness company to support the decision-making process and increase competitiveness.
Flood Detection Design based on the Internet of Things Silaban, Freddy Artadima; Taufiq, Yufimar; Silalahi, Lukman Medriavin; Sihombing, Grace Lamudur Arta
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.v5i4.9209

Abstract

Flood detection devices and water levels from several previous research studies were not optimal because they were still running and manual information, such as through loudspeakers, in some research, electronic devices have been used, but no information has been obtained, and it is not optimal if there is a danger sign. So this research is a study on the development of an automatic flood detection system and water level based on the IoT (Internet of Things). The system uses a NodeMCU Esp8266 controller with a combination of potentiometer sensors mounted on a water-level mechanic and connected to the Thingspeak IoT platform. Based on the results of the analysis and testing that have been done, the system is designed to combine the previous research algorithms so that it works more optimally and is better. The flood detection system and water level are made in two parts: one is placed upstream and the other is placed downstream, where the devices are connected. The device will turn on a danger alert when the altitude percentage is more than 85% of the maximum height. The lag time in the upload and download process is included in the Fast category (≤10 seconds). The resulting information can be monitored through the media portal website.
A Novel of Energy Consumption Profile of a Shopping Center Ruliyanta, Ruliyanta; Setyadi, Wismanto; Kusumoputro, R. A. Suwodjo
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.v5i4.9230

Abstract

Energy conservation in Indonesia is the primary choice made by the government of the Republic of Indonesia. It is undeniable that the highest consumption of a building is air conditioning energy, especially in a tropical environment like Indonesia. Air conditioning consumes between 40% and 80% of power in a high-rise building. The problem is how to find out the electricity usage profile and energy consumption index in a building that has been in operation for more than 20 years. This research aims to find the energy profile and calculate the energy consumption of a shopping center building. The method used is an Energy Audit according to SNI 6196. The energy consumption profile is an anomaly where the energy consumption for the air conditioning system is only 48%, while the average value in shopping centers in Indonesia is 62.9%. Meanwhile, the GFA energy consumption index is 23.11 kWh/m2/month or 277.3 kWh/m2/year. According to SNI 03-0196, the result is classified as an energy-intensive building. This value is close to the SNI 03-0196 standard for very energy-intensive building levels, which has values between 23.75 and 37.5 kWh/m2/month. Energy-saving opportunities are calculated by calculating the difference in the ECI value with the target ECI value. To increase the efficiency of energy consumption, this can be done by replacing the chiller unit which still uses a step type compressor. Apart from that, improving air conditioning insulation is very significant to overcome energy consumption problems. Adding green plants around buildings can also increase electrical efficiency.
Toward an Advanced Gas Composition Measurement Device for Chemical Reaction Analysis Gonibala, Fajriansya; Jamilatun, Siti; Amelia, Shinta; Ma’arif, Alfian; Setiawan, Muhammad Haryo
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.v5i4.9249

Abstract

The research details the development of a reactor-based monitoring system designed to identify and monitor gases generated within industrial chemical reactors. Consisting of nine MQ and DHT11 sensors, this reactor design allows for simultaneous measurement of temperature and humidity within the sample. Using a sensor array methodology, this research utilizes multiple sensors to collect and process analog signals to improve the accuracy of gas identification within samples. These analog signals obtained from the sensors are processed by an Arduino Mega 2560 microcontroller using the Arduino IDE software. The research, conducted on ten different samples, shows methane (CH4), hydrogen (H2), and alcohol (C2H6O) as the most concentrated gases. Notably, certain samples such as batik waste, honey, Robusta coffee, and sambal have a significant impact on methane gas concentrations. In addition, substances such as Robusta Coffee, Sprite, Syrup, and Oyster Sauce have a significant effect on hydrogen gas concentrations, while Robusta Coffee, Sambal, Arabica Coffee, and Pepper have a significant effect on alcohol gas concentrations. In addition, of the nine MQ sensors used, the MQ3, MQ4, and MQ8 are particularly effective at detecting alcohol, methane, and hydrogen gases, respectively, in the samples tested.
Simple Simulation of Perturb and Observe MPPT Algorithm on Synchronous Buck Converter Abuzairi, Tomy; Rachmad, Ralfi Wibowo
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.v5i4.9347

Abstract

The efficiency of the PV system can be improved by operating the solar panel on its Maximum Power Point (MPP). However, ariations in irradiance and temperature will lead to the shifting of solar panel MPP. To continuously operate the solar panel near its MPP, a tracking algorithm is needed. In this research, a model consisting of a synchronous buck converter and a Maximum Power Point Tracking (MPPT) algorithm will be designed as aMATLAB/Simulink model. Perturb and Observe technique will be used to implement the algorithm into the synchronous buck converter, which will control a 10 W solar panel load so it will operate near its MPP. Results show that the PV system model can track the Solar Panel MPP in various simulated irradiance.
A Sentiment Analysis Using Fuzzy Support Vector Machine Algorithm Larasati, Aisyah; Susanto, Yohana Ruth Wulan Natalia; Mohamad, Effendi; Purnama, Agus Rachmad
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.v5i4.9363

Abstract

The Ministry of Communication and Information and the Ministry of BUMN of The Republic of Indonesia designed a mobile app “Peduli Lindungi” to be used to help the public and related government agencies in carrying out screening and tracing people's movement to stop the spread of Corona Virus Disease (Covid-19).The existence of a mobile app, “Peduli Lindungi” triggers abundant different sentiments from the Indonesian community, either positive or negative sentiments. Based on the positive sentiment, the government of the Republic of Indonesia may have some feedback about the aspects of the app that should be maintained. In contrast, negative sentiments can be used as initial points of the potential improvement of the mobile app. This study applies a Fuzzy Support Vector Machine (FSVM) model to classify the user's reviews on Peduli Lindungi Application. FSVM can classify customers’ reviews into two or more classes and relatively results in higher accuracy than other classification approaches. The results of this study indicate that the classification of reviews with FSVM produces quite good accuracy  with a value of 77%. A total correct prediction is 2192 reviews out of 2813 reviews.
Fuzzy A* for optimum Path Planning in a Large Maze 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.v5i4.9394

Abstract

 Traditional A* path planning, while guaranteeing the shortest path with an admissible heuristic, often employs conservative heuristic functions that neglect potential obstacles and map inaccuracies. This can lead to inefficient searches and increased memory usage in complex environments. To address this, machine learning methods have been explored to predict cost functions, reducing memory load while maintaining optimal solutions. However, these require extensive data collection and struggle in novel, intricate environments. We propose the Fuzzy A* algorithm, an enhancement of the classic A* method, incorporating a new determinant variable to adjust heuristic cost calculations. This adjustment modulates the scope of scanned vertices during searches, optimizing memory usage and computational efficiency. In our approach, unlike traditional A* heuristics that overlook environmental complexities, the Fuzzy A* employs a dynamic heuristic function. This function, leveraging fuzzy logic principles, adapts to varying levels of environmental complexity, allowing a more nuanced estimation of the path cost that considers potential obstructions and route feasibility. This adaptability contrasts with standard machine learning-based solutions, which, while effective in known environments, often falter in unfamiliar or highly complex settings due to their reliance on pre-existing datasets. Our experimental framework involved 100 maze-solving trials in diverse maze configurations, ranging from simple to highly intricate layouts, to evaluate the effectiveness of Fuzzy A*. We employed specific metrics such as path length, computational time, and memory usage for a comprehensive assessment. The results showcased that Fuzzy A* consistently found the shortest paths (99.96% success rate) and significantly reduced memory usage by 67% and 59% compared to Breadth-First-Search (BFS) and traditional A*, respectively. These findings underline the effectiveness of our modified heuristic approach in diverse and challenging environments, highlighting its potential for real-world pathfinding applications.

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