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International Journal of Electronics and Communications Systems
Published by Universitas Islam Negeri Raden Intan Lampung
ISSN : -     EISSN : 27982610     DOI : 10.24042
Core Subject : Science, Engineering,
Computer Science & IT Electrical & Electronics Engineering
International Journal of Electronics and Communications System (IJECS) [e-ISSN: 2798-2610] is a medium communication for researchers, academicians, and practitioners from all over the world that covers issues such as the improvement about design and implementation of electronics devices, circuits, and communication systems including but not limited to: circuit theory, integrated circuits, analog circuits, digital circuits, mixed-signal circuits, electronic components, filters, oscillators, biomedical circuits, neuromorphic circuits, RF circuits, optical communication systems, microwave systems, antenna systems, communications circuits for optical communication, development of physics evaluation instruments, development of physics instructional media, digital signal processing, communication theory and techniques, modulation, source and channel coding, microwave theory and techniques, wave propagation and more.
Arjuna Subject : Ilmu Komputer (semua kategori) - Jaringan Komputer dan Komunikasi
Articles 49 Documents
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Development of Emotion Stress Relief Recommender Tool Using Machine Learning Mustafa, M Mohammed
International Journal of Electronics and Communications Systems Vol. 4 No. 1 (2024): International Journal of Electronics and Communications System
Publisher : Universitas Islam Negeri Raden Intan Lampung, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24042/ijecs.v4i1.21593

Abstract

UnilaHub, a mobile e-commerce application developed by the University of Lampung, facilitates transactions for products derived from university research. This study aims to enhance UnilaHub by introducing new features like facility rental, product shipment tracking, and integrated payment systems. The research consisted of three main phases: problem identification, application development (prototyping method), and system testing. Utilizing the prototyping method, the researchers iteratively developed these features, incorporating user feedback to ensure functionality and usability. System testing, encompassing User Acceptance Testing (UAT) and Black Box Testing, validated the effectiveness of these enhancements. High user satisfaction indices were recorded: 84.19 percent for the Web Administrator, 84.66 percent for the Public Apps, and 82.62 percent for the Research Apps. The results indicate that the new features significantly meet user needs and improve the overall user experience. The research is expected to improve the efficiency and satisfaction of UnilaHub users through the development of facility rental, product delivery tracking, and in-app payments. Integrating payment gateway and delivery tracking through third-party services has improved transaction efficiencies and user satisfaction, contributing to the digitization and centralization of administrative processes in UnilaHub.
Mitigating Security Threats for Digital Twin Platform: A Systematic Review with Future Scope and Research Challenges Lipsa, Swati; Dash, Ranjan Kumar; Cengiz, Korhan
International Journal of Electronics and Communications Systems Vol. 4 No. 1 (2024): International Journal of Electronics and Communications System
Publisher : Universitas Islam Negeri Raden Intan Lampung, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24042/ijecs.v4i1.22279

Abstract

In Industry 4.0, the digital twin (DT) enables users to simulate future states and configurations for prediction, optimization, and estimation. Although the potential of digital twin technology has been demonstrated by its proliferation in traditional industrial sectors, including construction, manufacturing, transportation, supply chain, healthcare, and agriculture, the risks involved with their integration have frequently been overlooked. Moreover, as a digital approach, it is intuitive to believe it is susceptible to adversarial attacks. This issue necessitates research into the multitude of attacks that the digital twin may face. This study enumerates various probable operation-specific attacks against digital twin platforms. Also, a comprehensive review of different existing techniques has been carried out to combat these attacks. A comparison of these strategies is provided to shed light on their efficacy against various attacks. Finally, future directions and research issues are highlighted that will help researchers expand the digital twin platform.
GARCH Model IBM Stock Forecasting of Price Volatility Zamzami, Balqis Dwian Fitri; Sihombing, Ericson Chandra; Kartika, Veni Zahara; Biran, Christian Arvianus Nathanael; Muthoharoh, Luluk; Sitinjak, Mika Alvionita
International Journal of Electronics and Communications Systems Vol. 4 No. 1 (2024): International Journal of Electronics and Communications System
Publisher : Universitas Islam Negeri Raden Intan Lampung, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24042/ijecs.v4i1.22866

Abstract

Risk and volatility are two related factors in research regarding capital markets. Many factors influence the movement of shares and indices. Volatility is common and affects risk assessment. Stock price volatility is an important aspect of understanding market behavior, with high volatility reflecting rapid and unstable price fluctuations. This research investigates the GARCH model in assessing volatility on the IBM Stock Exchange. The method employed was the symmetric GARCH model. It focuses on univariate analysis using the GARCH econometric model. The GARCH model allows modeling stock price variance over time based on the assumption that the variance was influenced by past stock price variance. The stages of this research were (1) data collection, (2) data pre-processing, and (3) forecasting model implementation. The best model obtained was ARMA(4,2)-GARCH(5,6) with an AIC value of 4.1017. A lower AIC value indicates that the model explains the data better or more optimally. A diagnostic test found that the model was adequate because the residual distribution followed a straight line, which means it was normally distributed.
Development of Facility Rental, Product Shipment Tracking, and Payment in the UnilaHub Application Aristoteles, Aristoteles; Setiadi, Rifan; Falah, Naufal Anbial; Parabi, M. Iqbal; Sakethi, Dwi; Febriansyah, Febi Eka; Ardiansyah, Ardiansyah
International Journal of Electronics and Communications Systems Vol. 4 No. 1 (2024): International Journal of Electronics and Communications System
Publisher : Universitas Islam Negeri Raden Intan Lampung, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24042/ijecs.v4i1.22889

Abstract

UnilaHub, a mobile e-commerce application developed by the University of Lampung, facilitates transactions for products derived from university research. This study aims to enhance UnilaHub by introducing new features like facility rental, product shipment tracking, and integrated payment systems. The research consisted of three main phases: problem identification, application development (prototyping method), and system testing. Utilizing the prototyping method, the researchers iteratively developed these features, incorporating user feedback to ensure functionality and usability. System testing, encompassing User Acceptance Testing (UAT) and Black Box Testing, validated the effectiveness of these enhancements. High user satisfaction indices were recorded: 84.19% for the Web Administrator, 84.66% for the Public Apps, and 82.62% for the Research Apps. The results indicate that the new features significantly meet user needs and improve the overall user experience. The research is expected to improve the efficiency and satisfaction of UnilaHub users through the development of facility rental, product delivery tracking, and in-app payments. Integrating payment gateway and delivery tracking through third-party services has improved transaction efficiencies and user satisfaction, contributing to the digitization and centralization of administrative processes in UnilaHub
Digital Signal Processing for The Development of Deep Learning-Based Speech Recognition Technology Sari, Dita Novita; Kusnadi, Danang; Saputra, Ricco Herdiyan; Khan, Mujeeb Ullah
International Journal of Electronics and Communications Systems Vol. 4 No. 1 (2024): International Journal of Electronics and Communications System
Publisher : Universitas Islam Negeri Raden Intan Lampung, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24042/ijecs.v4i1.22918

Abstract

This research discusses digital signal processing in the context of developing deep learning-based speech recognition technology. Given the increasing demand for accurate and efficient speech recognition systems, digital signal processing techniques are essential. The research method used is an experimental method with a quantitative approach. This research method consists of several stages: introduction, research design, data collection, data preprocessing, Deep Learning Model Development, performance training and evaluation, experiments and testing, and data analysis. These findings are expected to contribute to developing more sophisticated and applicable speech recognition systems in various fields. For example, in virtual assistants such as Siri and Google Assistant, improved speech recognition accuracy will allow for more natural interactions and faster responses, improving the user experience. This technology can be used in security systems for safer and more reliable voice authentication, replacing or supplementing passwords and fingerprints. Additionally, in accessibility technology, more accurate voice recognition will be particularly beneficial for individuals with visual impairments or mobility, allowing them to control devices and access information with just voice commands. Other benefits include improvements in automated phone apps, automatic transcription for meetings or conferences, and the development of smart home devices that can be fully voice-operated.
Polarization and Phase Control of Electromagnetic Waves in Periodic and Quasiperiodic Photonic Crystals using Fullerene and Tellurium Nanolayers Khalid, Shalaw Saman; Ahmed, Sana Latif; Abdula, Saman Othman; Abdurahman, Shene Aziz
International Journal of Electronics and Communications Systems Vol. 4 No. 2 (2024): International Journal of Electronics and Communications System
Publisher : Universitas Islam Negeri Raden Intan Lampung, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24042/ijecs.v4i2.23618

Abstract

This study presents the phase control and polarization of electromagnetic waves emitted in quasiperiodic crystals such as Fibonacci, T-M, DP, and RS and the periodic structure of a photonic crystal consisting of fullerene and tellurium nanoscales in near-infrared -visible wavelengths. By examining the arrangement of layers in quasi-periodic crystals, which, like periodic structures, possess band gaps that impede the transmission of electromagnetic waves, we can determine the specific region where the photonic band gap (PBG) is formed for both transverse electric (TE) and transverse magnetic (TM) polarization waves. Subsequently, after examining the transmitted light that passed through our structure, we have identified the band gap of different structures. Also, we have plotted the phase changes in the center and edges of the band gap. After taking into account the magnitude of the electric field and the phase difference, it becomes evident that when elliptically polarized light is transmitted, a tilt angle is seen corresponding to the angle of polarization. The paper used the renowned transfer matrix approach. According to our research, the suggested design enables the creation of very condensed phase controllers, such as phase retarders and polarizers.
Automation of Software Defined Network (SDN) Configuration Management Based on Proxmox with Ansible Marzuki, Khairan; Husain, Husain; Apriliana, Zikriati
International Journal of Electronics and Communications Systems Vol. 4 No. 2 (2024): International Journal of Electronics and Communications System
Publisher : Universitas Islam Negeri Raden Intan Lampung, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24042/ijecs.v4i2.23821

Abstract

Automation of software-defined networking (SDN) in Proxmox VE 8.1 enhances virtual network management by improving efficiency, scalability, and the speed of network configuration changes. This study aims to automate SDN configuration management in Proxmox VE using Ansible and evaluate its performance. The research follows the Network Development Life Cycle (NDLC) method, consisting of six stages: Analysis, Design, Simulation Prototyping, Implementation, Monitoring, and Management. Automation was implemented successfully using an Ansible playbook to manage creating and deleting zones, VNets, subnets, IP gateways, and DHCP ranges. The automated process was tested over three trials, with creation times of 23, 20, and 21 seconds and deletion times of 20, 19, and 20 seconds, respectively. By contrast, the manual process required 6 minutes 6 seconds for creation and 2 minutes 37 seconds for deletion. These results demonstrate that automation using Ansible significantly reduces configuration time, offering a more efficient and reliable approach than manual methods. The findings highlight the potential of Ansible to streamline SDN management in Proxmox VE, saving time, energy, and resources while ensuring scalability and consistency in virtualized network environments.
Human Sperm Morphology Classification Using YOLOv5 Deep Learning Algorithm Aristoteles, Aristoteles; Sholehurrohman, Ridho; Wirawan, Nasywa Nathania
International Journal of Electronics and Communications Systems Vol. 4 No. 2 (2024): International Journal of Electronics and Communications System
Publisher : Universitas Islam Negeri Raden Intan Lampung, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24042/ijecs.v4i2.24419

Abstract

Over the past two decades, one of the most common reproductive problems has been infertility. Infertility is a disease of the reproductive system characterized by the inability to conceive after 12 months or more of regular unprotected sexual intercourse. According to the World Health Organization (WHO), the reproductive rate has declined drastically, with male infertility now accounting for 36 percent of cases, often due to abnormalities in sperm production. Currently, infertility screening is still done manually, evaluating sperm samples using a microscope, which often produces inconsistent results. However, advances in computer technology have resulted in significant research aimed at improving the analysis of male sperm infertility. This study utilized deep learning technology to identify sperm using the YOLOv5 method. This study involved several stages with data collection using 1330 photos with 2 classes, namely sperm and non-sperm in video format. The second stage involved preprocessing the dataset, which included data extraction, cropping, resizing, and labeling the data for training. The final stage involved testing the trained model to detect and classify sperm based on morphology. The experimental results show that the proposed method is effective in accurately classifying sperm images and analyzing motion videos from recorded video data with a mAP result of 73.1 percent.Therefore, in the context of this study, the YOLOv5 model is considered efficient in detecting and classifying objects, both sperm and non-sperm.
Modifying the DC Servo Motor Observed by Particle Swarm Optimization Techniques Saxena, Arti; Panse, Vishal R; Asyhari, Ardian; Umam, Rofiqul; Michalska-Domańska, Marta; Dixit, Aparna
International Journal of Electronics and Communications Systems Vol. 4 No. 2 (2024): International Journal of Electronics and Communications System
Publisher : Universitas Islam Negeri Raden Intan Lampung, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24042/ijecs.v4i2.25071

Abstract

The PID controller's optimized tuning improves the control system's functionality. This work presented the tuning of the PID/FOPID controller by the conventional Ziegler-Nichols (ZN) method and the Particle Swarm Optimization (PSO) algorithm. The PID controller is the most popular in the industry because it is simple to implement, has good computing ability, and provides a robust system. These methods are implemented on the DC servomotor system to optimize the transient responses like rise time (??), settling time (??), and peak overshoot (??) to get a better result. The PID controller tuned by the conventional ZN method gives a longer settling time, a longer rise time, and a higher peak overshoot. The PSO algorithm is utilized to overcome the significant overshoot and considerable settling time obtained in the conventional Ziegler-Nichols method. Analyzing and comparing the MATLAB simulation results, it is observed that PSO algorithms provide a better-optimized response over the ZN method with FOPID controller in respect of less rise time (?? =0.0392 sec.), less settling time (??=0.0605 sec.) and peak overshoot (??=1.92 percent). The results obtained by the proposed controller provide better reliability and better response.
Unveiling GPT-4o: Enhanced Multimodal Capabilities and Comparative Insights with ChatGPT-4 Murad, Ibrahim A; Khaleel, Mustafa Ibrahim; Shakor, Mohammed Y.
International Journal of Electronics and Communications Systems Vol. 4 No. 2 (2024): International Journal of Electronics and Communications System
Publisher : Universitas Islam Negeri Raden Intan Lampung, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24042/ijecs.v4i2.25079

Abstract

Artificial Intelligence (AI), a rapidly advancing field in the modern era, particularly within computer science, continues to progress by developing tools with superior capabilities and innovative features. This study aims to conduct a comparative analysis between ChatGPT-4 and its enhanced version, ChatGPT-4o, based on various parameters. The methodology employs a mixed-methods approach using a standardized dataset and systematically designed prompts. The findings reveal significant improvements, including enhanced coherence and contextual relevance of generated content, accurate and verifiable citation presentation, and improved capabilities in addressing scientific, educational, and technical inquiries. Additionally, ChatGPT-4o demonstrates superiority in handling complex creative writing tasks, text analysis, and understanding intricate scientific, literary, and logical scenarios. These results collectively indicate that the outputs of ChatGPT-4o are more effective, making it a reliable tool for academic, professional, and technical purposes. This research highlights the significant impact of ChatGPT-4o on user interactions, showcasing its capacity to fundamentally transform content creation processes and analytical functions across various fields. The implications of this study suggest that ChatGPT-4o has the potential to enhance productivity and innovation in education, professional industries, and technological development

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