cover
Contact Name
Teguh Wiyono
Contact Email
indexsasi@apji.org
Phone
+6285727710290
Journal Mail Official
indexsasi@apji.org
Editorial Address
Perum. Bumi Pucang Gading, Jl. Watu Nganten 1 No. 1-6 Desa Batursari Kec. Mranggen, Jawa Tengah
Location
Kab. demak,
Jawa tengah
INDONESIA
Journal of Engineering, Electrical and Informatics
ISSN : 28100557     EISSN : 28098706     DOI : https://doi.org/10.55606/jeei.v5i3
The journal publishes original papers in the field of Engineering, Electrical and Informatics which covers the following scope: Power Engineering Electric Power Generation, Transmission and Distribution, Power Electronics, Power Quality, Power Economic, FACTS, Renewable Energy, Smart Grid, Electric Traction, Electric Vehicles, Electromagnetic Compatibility, Electrical Engineering Materials(Conductors, Superconducors, Dielectrics and Magnetics), High Voltage Insulation Technologies, High Voltage Apparatuses, Lightning Detection and Protection, Power System Analysis, Power System Protection, SCADA, Electrical Measurements Telecommunication Engineering Antenna and Wave Propagation, Modulation and Signal Processing for Telecommunication, Wireless and Mobile Communications, Information Theory and Coding, Communication Electronics and Microwave, Radar Imaging, Distributed Platform, Communication Network and Systems, Telematics Services, Security Network, and Radio Communication. Computer Engineering Computer Architecture, Parallel and Distributed Computer, Pervasive Computing, Computer Network, Embedded System, Human—Computer Interaction, Virtual/Augmented Reality, Computer Security, VLSI Design-Network Traffic Modeling, Performance Modeling, Dependable Computing, High Performance Computing, Computer Security Control and Computer Systems Optimal, Robust and Adaptive Controls, Non Linear and Stochastic Controls, Modeling and Identification, Robotics, Image Based Control, Hybrid and Switching Control, Process Optimization and Scheduling, Control and Intelligent Systems, Artificial Intelligent and Expert System, Fuzzy Logic and Neural Network, Complex Adaptive Systems. Electronics To Study Microelectronic System, Electronic Materials (semiconductors and optics), Design and Implementation of Application Specific Integrated Circuits (ASIC), System-on-a-Chip (SoC) and Electronic Instrumentation Using CAD Tools, Sensors Information technology Digital Signal Processing, Human-Machine Interface, Stochastic Systems, Information Theory, Intelligent Systems, IT Governance, Networking Technology, Optical Communication Technology, Next Generation Media, Robotic Instrumentation Informatics Information Search Engine, Multimedia Security, Computer Vision, Information Retrieval, Intelligent System, Distributed Computing System, Mobile Processing, Next Network Generation, Computer Network Security, Natural Language Processing, Business Process, Cognitive Systems. Data and Software engineering Software Engineering (Software: Lifecycle, Management, Engineering Process, Engineering Tools and Methods), Programming (Programming Methodology and Paradigm), Data Engineering (Data and Knowledge level Modeling, Information Management (DB) practices, Knowledge Based Management System, Knowledge Discovery in Data) Biomedical Engineering Biomedical Physics, Biomedical Transducers and instrumentation, Biomedical System Design and Projects, Medical Imaging Equipment and Techniques, Telemedicine System, Biomedical Imaging and Image Processing, Biomedical Informatics and Telemedicine, Biomechanics and Rehabilitation Engineering, Biomaterials and Drug Delivery Systems.
Articles 84 Documents
ROBOTIC AUTOMATION ON COMPUTER NUMERICAL CONTROL MACHINE
Journal of Engineering, Electrical and Informatics Vol. 2 No. 2 (2022): Juni: Journal of Engineering, Electrical and Informatics:
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jeei.v2i2.914

Abstract

Along with the advancement of robot technology, Computer Numerical Control (CNC) machine robot automation is becoming more popular. While some Computer Numerical Control engine process independently with a part catcher, a perpendicular granting center requires an extraneous individual to keep the engine processing. Collective and Mechanical robots be the main options for robotize perpendicular Computer Numerical Control grating machines. This study aims to specifically investigate and find the most effective type of robot to be used as a machine capable of maintaining the Haas VF-2 perpendicular crushing center. The method used in this study is the Overal Equipment Effectiveness (OEE) model approach with five different actions, starting with scope, unit setting, evaluation, fee calculation, and integration of the evaluation to present the value of each cell. The purpose of the model used in this study is to determine which robot is more effective for use in industry. As the result, this study demonstrates the important difference between the robot cells on the site and the overall effectiveness of the equipment, besides that the fee differences in the production of robot cells are not too large, but if the focus is on adding robots then the fee differences must be considered carefully. The hazard assessment proved surprising. This study shows that the risk factors in VF-2 treatment using cooperative robots and mechanical robots can be ignored. The impact of takt time also has an important role. Taking each factor into account for the production machining of the VF-2 mechanical robot is more conducive to use because its performance level is almost two times better and in terms of use, it is also much safer. For future work, maintaining a continual level of danger estimate during working on various parts is a very important thing to pay attention to. In addition, when the geometry and materials of machine parts are developed, the collective allocation is no longer valid, so danger estimates must be carried out more carefully to ensure operator safety.
VIRTUAL LABORATORY FOR VIRTUAL ANALYSIS IN TECHNICAL EDUCATION
Journal of Engineering, Electrical and Informatics Vol. 2 No. 2 (2022): Juni: Journal of Engineering, Electrical and Informatics:
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jeei.v2i2.915

Abstract

Face-to-face technical instruction is subject to the existence of instrumentation and room. The fee, security, and listing can manner blockade to the administration directly in the laboratory. Virtual analysis can be adopted to increase the scholar's expertise by combining pre-laboratory for live analysis and serving approach to implementing that cannot be used securely personality. Virtual learning is applied in many areas, but questions are left over about how it should be used in engineering, this is an area that is mainly dependent on face-to-face laboratory and classroom settings. The purpose of this research is to adapt the common virtual laboratory idea to special demands, Virtual laboratories are not intended to change face-to-face discipline but to add to class time and offer a useful reserve as required. In addition, the experimental development method in this study was carried out by 3 virtual platforms: “Lab-VIEW”, “MAT-LAB”, and “Unity”. The 1st form of the Helicopter-machine Virtual Laboratory was advanced at Lab-VIEW. Virtual laboratories offer a semi-hands-on experience in college learning that might overlook physical learning. It means a type of active learning method to be adopted in university. The result of this research is a brief investigation of development possibilities in Unity. So that in the future, Unity exploration can be done further and in more detail. Scope This research consists of themes plated by Engineering Measurement Laboratory 1 learning. Engineering lectures might reflect these topics to carry out Virtual analysis in their laboratory and traditional classroom learning. The points that might advantage of the method consist of Mechanical Systems Laboratory, Energy Systems Laboratory, Thermodynamics, and Dynamics. It is hoped that this research will cocked the expansion of more Virtual analysis that increase engineering education in the future.
EXPLORATION OF AMPLITUDE CODING CAPACITIES FOR Q-ML MODEL
Journal of Engineering, Electrical and Informatics Vol. 2 No. 3 (2022): Oktober: Journal of Engineering, Electrical and Informatics:
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jeei.v2i3.916

Abstract

Quantum computing implements computation adopting environmental phantasm and the foundation of quantum mechanics to clear up the issues. This design of calculation has been demonstrated to serve the acceleration of some modern processing issues. Current evolution in quantum technology is emerging, and the application of learning design to this current instrument is developing. With enough prospects, the application of quantum development in the area of Machine Learning has come clear. This research develops a TensorFlow Quantum (TF-Q) software framework model for machine learning functions. The two models advanced the application of material coding techniques from amplitude coding to constructing a case in the quantum learning model. This study aimed to explore the scope of amplitude coding to serve enhanced case establishment in learning techniques and in-depth investigation of data sets that bring insight into the practice data adopting the “Variational Quantum Classifier” (VQ-C). The emergence of this current method raises the investigation of how best this tool can be adopted, the aim is to provide several analysis explanations for the element of quantum machine learning that can be applied given the constraints of the actual device. The results of this study indicate there are clear advantages to adopting amplitude coding over another technique as demonstrated by adopting the combination of quantum-humanistic neural networks in TF-Q. In addition, the different preprocessing steps can generate more aspect-affluent data while using VQ-C the no-charge lunch assumption dominance for quantum learning technique for humanistic models. The material even though conceal in quantum by unadvanced data preparation steps but involves new ways of understanding and appreciating these new methods. Future studies will lack expansion into multi-type of analysis models that are sufficiently advanced to be relevant in work similar to this.
Web-Based Financial Information System in The Christian Evangelical Church in Minahasa
Journal of Engineering, Electrical and Informatics Vol. 3 No. 1 (2023): Februari : Journal of Engineering, Electrical and Informatics
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jeei.v3i1.1185

Abstract

As a community service organization, the church has a variety of activities and transactions to meet the needs of the congregation. Because the church has quite complex business processes and systems, information, including data storage, is required to facilitate an integrated and centralized church in data storage, management, and presentation. The analysis, design, and construction of a church financial information system as a solution to the problems that exist in the GMIM church, where processing will be maximized in a web-based financial information system, are discussed in this study.
Digital Congregation News Android-Based in The Christian Evangelical Church in Minahasa
Journal of Engineering, Electrical and Informatics Vol. 3 No. 1 (2023): Februari : Journal of Engineering, Electrical and Informatics
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jeei.v3i1.1204

Abstract

Information is a necessity that is needed by everyone. With the devel-opment of Information Technology today, it is very helpful for people to get the desired information easily and quickly. This digital media pro-vides a number of advantages when compared to print media. One of the advantages of this digital media that is very pronounced is that this digital media can reduce printing costs, because this digital media does not need to be printed, but only uses internet media to disseminate the information. In church activities, also cannot be separated from the delivery of information to the church congregation. The purpose of this study is to develop an android-based mobile software to be able to pro-vide information or congregational news digitally. In this research, a number of stages will be carried out, namely Literature Study, Data Col-lection, System Design and Data Model, System Development and Data Processing, Testing and Evaluation, Reporting and Publication. This research produces a mobile application that can be used to provide news information to the congregation.
Enhancing Special Needs Identification for Children: A Comparative Study on Classification Methods Using ID3 Algorithm and Alternative Approaches
Journal of Engineering, Electrical and Informatics Vol. 3 No. 2 (2023): Juni : Journal of Engineering, Electrical and Informatics
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jeei.v3i2.1468

Abstract

This research aims to compare the performance of classification methods in identifying special needs in children. The dataset used consists of identifications of various types of special needs, such as ADHD, autism, mild cerebral palsy, mild intellectual disability, moderate intellectual disability, and hearing impairment. The methods compared include ID3 (previous study), Naive Bayes, Random Forest, k-NN, and Gradient Boosting. The comparison results show that ID3 achieves an accuracy rate of 91.81%. The new alternative methods show better performance, with Naive Bayes achieving an accuracy of 95.28%, Random Forest 95.14%, k-NN 95.28%, and Gradient Boosting 83.47%. Although Random Forest does not outperform Naive Bayes and k-NN, it has the advantage of forming decision trees that align with symptom attributes and predict disability labels. However, in the implementation of the Gradient Boosting algorithm, there is a low model probability, especially in identifying ADHD. The conclusion of this research provides insights for researchers in selecting appropriate classification methods for identifying special needs in children, considering accuracy, efficiency, and handling imbalanced data.
IMPROVING UNDERBONE MOTORCYLES IGNITION SYSTEM USING CDI PROGRAMMED BY CAMSHAFT DURATION ON A 4-STEP 125 CC MOTOR
Journal of Engineering, Electrical and Informatics Vol. 3 No. 2 (2023): Juni : Journal of Engineering, Electrical and Informatics
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jeei.v3i2.1479

Abstract

This study aims to determine the engine performance characteristics of underbone motorcycles using Genuine CDI and CDI programmable, as well as the differences in engine performance characteristics of underbone motorcycles using Genuine CDI and CDI programmable. The investigation employed an experimental methodology. The subject of the research was a 125cc, 1-cylinder underbone motorcycles. The apparatus utilized for measuring power was a dynotest underbone motorcycles. Experiments conducted with underbone motorcycles in its standard factory configuration (no modifications). The results indicated that (1) Underbone motorcycles equipped with Genuine CDI produce the most power at 6542 RPM and the most torque at 5085 RPM. While the RPM after it was replaced with Programmable CDI was 8.2 at 6556 RPM with 10.33 lb-ft of torque at 4670 RPM, the maximum power was 8.2 at 6556 RPM. (2) There was a performance difference between Genuine CDI and CDI Programmable. 8,2 HP is the maximum power obtained in nearly all Programmable CDI variantion. By advancing the Programmable CDI Timing by 2 degrees, the maximum torque of 10,33Nm was obtained at 4,670 RPM.
Digital Asset Analysis, Design, Develop And Deliver For LMS According To Scorm Standard, Case Study: Vocational High School Of Software Engineering
Journal of Engineering, Electrical and Informatics Vol. 3 No. 3 (2023): Oktober: Journal of Engineering, Electrical and Informatics
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jeei.v3i3.2216

Abstract

In this study, we evaluated the limitations of using learning resources that can be used in a Learning Management System (LMS) platform, which cannot be packaged and can be used again in processing, combining, and rearranging learning based on learning objects that already exist in different LMS platforms. Studying content with formats other than SCORM is not easy adapted to the needs because the content must be reorganized every time using a different platform. Therefore, it is necessary to analyze and design learning according to the SCORM format to meet the ISO 19796-1 standard platform. This standard has the ability to share, reuse, and interoperate learning objects. The challenge in the world of education today is how to build a knowledge-based society. The building of e-learning plays an important role. Currently, the e-learning portal is a very diverse learning management system (LMS) platform used by schools or tertiary institutions. In addition, the types of learning resources and content are also diverse. It does not meet the e-material design requirements based on mechanisms that can be shared, reused, and operated on different platforms to meet the granularity element. The results provide insight and highlight the mismatch between digital learning and digital asset standards, especially in Indonesia. This helps us analyze, design, develop, and submit digital assets for electronic learning materials in vocational high school software expertise programs in accordance with SCORM Standards.
Notary Deed Security Application Using RC4 Method on Android-Based
Journal of Engineering, Electrical and Informatics Vol. 3 No. 3 (2023): Oktober: Journal of Engineering, Electrical and Informatics
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jeei.v3i3.2252

Abstract

In the digital era, security concerns related to notary deeds can arise due to several factors, particularly in safeguarding important documents. Without a secure application, these important documents, such as notary deeds, can be threatened by unauthorized access. This could result in material or reputational loss for both the notary and the client. This application provides facilities for users to encrypt and decrypt notarial deeds in several file types, including PDF, Excel, Microsoft Word, and images. The encryption and decryption process in this application utilize the RC4 method. In this application, users can process notarial deeds to be encrypted according to the type of document file they possess in order to obtain an encrypted files ready to be sent or exchanged notary deed data. The application result will display the history of the encrypted document, the date when the file was encrypted, as well as the token in the file for the decryption process. Keywords: Notarial Deed, RC4, Encryption, Decryption, Token
The Implementation of Artificial Neural Networks for Stock Price Prediction
Journal of Engineering, Electrical and Informatics Vol. 3 No. 3 (2023): Oktober: Journal of Engineering, Electrical and Informatics
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jeei.v3i3.2254

Abstract

This research is based on a problem that is difficult to predict stock prices, especially for beginners. Stock prices are hard to predict because they are fluctuating. Users will be easier to predict stock prices through artificial neural networks using Multilayer Perceptron. This MLP is a variant of an artificial neural network and is a development of perceptron. The selection of the Multilayer Perceptron method is based on the ability to solve various problems both classification and regression. The research conducted by the author is a regression problem as the MLP is tasked to predict the close price or closing price of stock after seven days. The results of the model built are able to predict stock prices and produce good accuracy because the resulting RMSE value produced 0.042649862994352014, which is close to 0. Keywords: Machine Learning, Stock Price Prediction, Neural Network, Multilayer Perceptron, MLP.