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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 8 Documents
 1 
Search results for , issue "Vol. 6 No. 3 (2024): September" : 8 Documents clear
Implementation of Tsukamoto Fuzzy Logic for Watering Interval Control in Mini Greenhouse Temperature and Humidity Monitoring System with Aeroponic Method Pramana, Revata Dendi Aurix; Baswara, Ahmad Raditya Cahya
Buletin Ilmiah Sarjana Teknik Elektro Vol. 6 No. 3 (2024): September
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/biste.v6i3.10809

Abstract

Agriculture in Indonesia faces challenges in the use of modern technology, resulting in a lack of optimisation in land management and crop yields. Greenhouses, also known as 'hothouses', have been developed using environmental sensor technology and microcontrollers to increase the efficiency of crop management. The use of Tsukamoto fuzzy logic is one of the solutions to improve this system. However, the increasingly popular microgreens have the disadvantage of losing nutrients when stored for long periods. Nevertheless, microgreens remain an attractive alternative for urban agriculture with limited land because of their fast growth and high nutrient content, offering more value than buying them from the store. The mini-greenhouse's temperature and humidity monitoring system uses the aeroponic cultivation method and adopts Tsukamoto fuzzy logic control with nine fuzzy rules to manage the watering interval. The temperature and humidity measurement results are sent online to the Internet for real-time monitoring. This research successfully designed an aeroponic system for growing caisim mustard greens, conducted IoT monitoring using ThingSpeak, and implemented watering control using Tsukamoto fuzzy logic. The results showed that the plants reached a height of 25 cm with 9 leaves and a leaf width of 8 cm. The watering interval method effectively reduced the power consumption to 3.6 times lower than 24-hour continuous watering, showing a significant contribution to energy management in aeroponic systems.
Implementation of Kalman Filter on Pid Control System for DC Motor Under Noisy Condition Setiawan, Nurman; Caesarendra, Wahyu; Majdoubi, Rania
Buletin Ilmiah Sarjana Teknik Elektro Vol. 6 No. 3 (2024): September
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/biste.v6i3.11236

Abstract

DC motors are actuators that are widely used in various fields. The reason is that DC motors are easy to control, high torque at low speed, and fast response. Angular velocity of DC motor is regulated automatically by using certain controls method, the most commonly used of which is PID control. The performance of the control system decreases in the presence of disturbance or noise. The presence of noise give has negative impacts such as instability in control response, decreased accuracy, and difficulty in tuning PID gain. The most common disturbance comes from the inaccuracy data due to measurement noise and process noise. In this study, the Kalman filter is proposed as a state estimator to reduce the influence of noise, both process noise and measurement noise. The Kalman filter provides an optimal estimate of the angular velocity of DC motor by minimizing the mean squared error. The estimated angular velocity from Kalman Filter is utilized as input for PID control. Simulation results show that the Kalman filter is capable to reduces the influence of measurement noise. In nominal condition, PID control give an Integral Absolute Error (IAE) of 344.56. Under noisy condition, PID control (without Kalman filter) has an IAE of 517.27, while Kalman filter-based PID control has an IAE of 345.25. The IAE reduction of 99.6% indicates that the proposed control system effectively minimizes errors, resulting in better performance and stability.
HNIHA: Hybrid Nature-Inspired Imbalance Handling Algorithm to Addressing Imbalanced Datasets for Improved Classification: In Case of Anemia Identification Saputra, Dimas Chaerul Ekty; Ratnaningsih, Tri; Futri, Irianna; Muryadi, Elvaro Islami; Phann, Raksmey; Tun, Su Sandi Hla; Caibigan, Ritchie Natuan
Buletin Ilmiah Sarjana Teknik Elektro Vol. 6 No. 3 (2024): September
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/biste.v6i3.11306

Abstract

This study presents a comprehensive evaluation of three ensemble models designed to handle imbalanced datasets. Each model incorporates the hybrid nature-inspired imbalance handling algorithm (HNIHA) with matthews correlation coefficient and synthetic minority oversampling technique in conjunction with different base classifiers: support vector machine, random forest, and LightGBM. Our focus is to address the challenges posed by imbalanced datasets, emphasizing the balance between sensitivity and specificity. The HNIHA algorithm-guided support vector machine ensemble demonstrated superior performance, achieving an impressive matthews correlation coefficient of 0.8739, showcasing its robustness in balancing true positives and true negatives. The f1-score, precision, and recall metrics further validated its accuracy, precision, and sensitivity, attaining values of 0.9767, 0.9545, and 1.0, respectively. The ensemble demonstrated its ability to minimize prediction errors by minimizing the mean squared error and root mean squared error to 0.0384 and 0.1961, respectively. The HNIHA-guided random forest ensemble and HNIHA-guided LightGBM ensemble also exhibited strong performances.
Battery Usage Monitoring System Internet of Things-Based Electric Cars (IoT) and Radio Telemetry Hasibuan, Ahmad Firdaus; Ma’arif , Alfian
Buletin Ilmiah Sarjana Teknik Elektro Vol. 6 No. 3 (2024): September
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/biste.v6i3.11524

Abstract

Making electric cars at Ahmad Dahlan University has started since 2019. The implementers in making this electric car are students from the Faculty of Teacher Training and Education, Automotive Technology Vocational Education Study Program and Faculty of Industrial Technology, Electrical Engineering Study Program which started by taking part in a Comparative Study at a Contest Indonesian Electric Car 2019. 2019 at Bandung State Polytechnic. The IoT and Radio Telemetry Based Electric Car Energy Usage Monitoring System created by researchers uses voltage sensor components and current sensors to detect voltage and current in electric cars, NodeMCU ESP32 as a microcontroller, voltage sensors to detect voltage, current sensors to detect current in car electricity and LCD as a reading output from the sensor. Also using IoT ThingSpeak as a display of sent sensor readings requires an internet connection to the microcontroller and radio telemetry as a display of sensor data on a serial monitor without requiring an internet connection. As a result, the tool created can monitor voltage and current accurately from a distance as long as it is connected to the internet and not connected to the internet. The best parameters obtained are the voltage and current sensors because the difference in reading error values from the sensor to the device does not reach 2, therefore they are the best parameters for this monitoring system.
Optimization of Grid-Connected PV Systems: Balancing Economics and Environmental Sustainability in Nigeria Usman, Habib Muhammad; Sharma, Nirma Kumari; Joshi, Deepak Kumar; Sani, Baba Isah; Mahmud, Muhammad; Saminu, Sani; Yero, Abdulbasid Bashir; Auwal, Rabiu Sharif
Buletin Ilmiah Sarjana Teknik Elektro Vol. 6 No. 3 (2024): September
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/biste.v6i3.11562

Abstract

Nigeria faces the dual challenge of harmful industrial emissions contributing to climate change and unreliable power supply, demanding urgent attention. This study focuses on optimizing a grid-connected photovoltaic (PV) system at the Department of Electrical Engineering, Ahmadu Bello University Zaria, Kaduna, Nigeria, with the goal of achieving economic and environmental sustainability. The study utilizes HOMER, a widely used optimization tool for renewable energy systems, to design and evaluate three distinct energy scenarios. The first scenario relies solely on grid power, resulting in high annual costs of $2,838, significant environmental degradation, and zero renewable energy contribution. The second scenario integrates solar PV with grid power, reducing grid dependency but only partially addressing cost and environmental concerns, with an annual energy cost of $2,714 and 1,867 kWh generated from solar PV. The third scenario demonstrates the most favourable outcomes, combining high solar PV generation with economic benefits. The system produces 29,684 kWh annually, selling $521 worth of surplus energy back to the grid, resulting in a net yearly energy cost of $1,043. The initial installation cost is expected to be recovered within two years, offering potential savings of $20,000 over the system's 20-year lifespan. These findings show the viability of solar PV systems as a solution to Nigeria's energy challenges, underscoring the importance of balancing economic and environmental factors in energy system design. The study provides valuable insights for institutions and similar contexts looking to transition to more sustainable energy systems.
Advancements in Anode Materials for Cathodic Protection: Nanostructured Alloys, Surface Modifications, and Smart Monitoring Yahaya, Madaniyyu Sulaiman; Nahar, Kapil; Kumar, Dinesh; Usman, Habib Muhammad; Gambo, Abdulhaq Saleh; Umar, Tijjani Aminu; Sulaiman, Mustapha
Buletin Ilmiah Sarjana Teknik Elektro Vol. 6 No. 3 (2024): September
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/biste.v6i3.11512

Abstract

This review critically examines advancements in anode materials for cathodic protection systems, focusing on overcoming the limitations of traditional materials like magnesium, zinc, aluminum, graphite, lead-silver alloys, and high-silicon cast iron (HSCI). Conventional anode materials, though widely used, face issues such as rapid degradation, high maintenance costs, and environmental harm. Novel materials, including mixed metal oxides (MMO), advanced aluminum-based alloys, nanostructured materials, and conductive polymers, offer superior electrochemical properties, enhanced durability, and improved performance in aggressive environments like seawater. This review also highlights the role of surface modifications and coatings, such as platinum on titanium and ceramic coatings, in boosting corrosion resistance. Moreover, smart monitoring systems, integrated with IoT and SCADA technologies, are explored for their potential to improve the longevity and efficiency of cathodic protection systems. The paper emphasizes the urgent need for sustainable solutions due to the substantial economic and environmental costs of corrosion, particularly in high-risk industries like oil and gas, maritime, and infrastructure. Future research directions, including the development of hybrid systems combining coatings with CP technologies and the application of advanced alloys and nanostructured materials, are proposed to address the long-term performance and ecological impacts of CP systems.
Automatic Plant Disease Classification with Unknown Class Rejection using Siamese Networks Putra, Rizal Kusuma; Alfarisy, Gusti Ahmad Fanshuri; Nugraha, Faizal Widya; Nuryono, Aninditya Anggari
Buletin Ilmiah Sarjana Teknik Elektro Vol. 6 No. 3 (2024): September
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/biste.v6i3.11619

Abstract

Potatoes are one of the horticultural commodities with significant trade value both domestically and internationally. To produce high-quality potatoes, healthy and disease-free potato plants are essential. The most common diseases affecting potato plants are late blight and early blight. These diseases appear randomly in different positions and sizes on potato leaves, resulting in numerous combinations of infected leaves. This study proposes an architecture focused on a similarity-based approach, namely the Siamese Neural Network (SNN). SNN can recognize images by comparing two or more images and categorizing the test image accordingly. Thus, SNN has an advantage over classification-based approaches as it can identify various combinations of disease spots on potato plants using a similarity-based approach. This study is divided into two main scenarios: testing with data categories which were previously seen during the training process (traditional testing) and testing with the addition of new data categories that were not seen during training. In the first scenario, SNN showed better accuracy with an accuracy rate of 98.4%, while in the second scenario, SNN achieved an accuracy of 97.1%. That result suggests that SNN can categorize data very well, even recognizing data which never seen during training. These results offer hope that SNN can recognize more disease spots/patterns on potato plants or even identify new diseases by adding these new diseases to the SNN support set without retraining.
Improving Dynamic Routing Protocol with Energy-aware Mechanism in Mobile Ad Hoc Network Mekonnen, Atinkut Molla; Munaye, Yirga Yayeh; Chekol, Yenework Belayneh; Bizuayehu, Getenesh Melie; Maghfiroh, Hari
Buletin Ilmiah Sarjana Teknik Elektro Vol. 6 No. 3 (2024): September
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/biste.v6i3.11994

Abstract

A Mobile Ad hoc Network (MANET) is designed for specific communication needs, where nodes dynamically interact. In a MANET, mobile nodes self-configure and frequently adapt to changes in topology due to their ability to move freely. Each node operates as a router, forwarding data to other designated nodes within the network. Since these mobile nodes rely on battery power, energy management becomes critical. This paper addresses the challenges of routing in MANETs by improving the Dynamic Source Routing (DSR) protocol. The proposed enhancement, termed energy-aware DSR, aims to mitigate and reduce packet loss and improve the packet delivery ratio, which often suffers due to node energy depletion. Simulations conducted with the NS-3.26 tool across varying node counts demonstrate that the energy-aware DSR protocol significantly outperforms the traditional DSR in terms of efficiency and reliability.

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