Journal of Applied Engineering and Technological Science (JAETS)
Journal of Applied Engineering and Technological Science (JAETS) is published by Yayasan Pendidikan Riset dan Pengembangan Intelektual (YRPI), Pekanbaru, Indonesia. It is academic, online, open access, peer reviewed international journal. It aims to publish original, theoretical and practical advances in Computer Science & Engineering, Information Technology, Electrical and Electronics Engineering, Electronics and Telecommunication, Mechanical Engineering, Civil Engineering, Textile Engineering and all interdisciplinary streams of Engineering Sciences. Journal of Applied Engineering and Technological Science (JAETS) is published annually 2 times every June and Desember.
Articles
358 Documents
<![CDATA[Capacity Enhancement in D2D 5G Emerging Networks: A Survey ]]>
<![CDATA[Anthon Ejeh Itodo]]>;
<![CDATA[Theo G. Swart]]>
<![CDATA[ Journal of Applied Engineering and Technological Science (JAETS) Vol. 4 No. 2 (2023): Journal of Applied Engineering and Technological Science (JAETS) ]]>
Publisher : <![CDATA[Yayasan Riset dan Pengembangan Intelektual (YRPI) ]]>
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DOI: 10.37385/jaets.v4i2.1394
<![CDATA[Several efforts are being made to improve the capacity of 5G networks using emerging technologies of interest. One of the indispensable technologies to fulfill the need is device-to-device (D2D) communication with its untapped associated benefits. Interference is introduced at the base station due to massive traffic congestion. The purpose of this research is to expand the knowledge of interference mitigation in D2D using stochastic geometrical tools which will result in capacity enhancement. This study uses a literature review method based on 5G and other already existing literature on D2D communication. More than one hundred and twenty papers on D2D communications in cellular networks exist but no precise survey paper on interference management to enhance capacity using stochastic geometrical tools exists. The contribution of this survey to theory is that apart from already existing capacity enhancement methods, interference mitigation using stochastic geometrical tools is another technique that can also be used for capacity enhancement in D2D communications.]]>
<![CDATA[Deep Feature Wise Attention Based Convolutional Neural Network for Covid-19 Detection Using Lung CT Scan Images ]]>
<![CDATA[Lavanya Yamathi]]>;
<![CDATA[K.Sandhya Rani]]>;
<![CDATA[P Venkata Krishna]]>
<![CDATA[ Journal of Applied Engineering and Technological Science (JAETS) Vol. 4 No. 2 (2023): Journal of Applied Engineering and Technological Science (JAETS) ]]>
Publisher : <![CDATA[Yayasan Riset dan Pengembangan Intelektual (YRPI) ]]>
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DOI: 10.37385/jaets.v4i2.2163
<![CDATA[with the help of effective DL(Deep Learning) based algorithms. Though several clinical procedures and imaging modalities exists to diagnose Covid-19, these methods are time-consuming processes and sometimes the predictions are incorrect. Concurrently, AI (Artificial Intelligence) based DL models have gained attention in this area due to its innate capability for efficient learning. Though conventional systems have tried to perform better prediction, they lacked in accuracy with prediction rate. Moreover, the conventional systems have not utilized attention model completely for Covid-19 detection. This research is intended to resolve these pitfalls of covid-19 detection methods with the help of deep feature wise attention based Convolutional Neural Network. For this purpose, the data has been pre-processed by image resizing, the Residual Descriptor with Conv-BAM(Convolutional Block Attention Module) has been employed to obtain refined features from spatial and channel wise attention based module. The obtained features are used in the present study to improvise the classification as covid positive or negative. The performance of the proposed system has been assessed with regard to metrics to prove better efficiency. The proposed method achieved high accuracy rate of 97.82%. This DL based model can be used as a supplementary tool in the diagnosis of Covid-19 alongside other diagnostic method]]>
<![CDATA[Performance Analysis of Task Offloading in Mobile Edge Cloud Computing for Brain Tumor Classification Using Deep Learning ]]>
<![CDATA[R. Yamuna]]>;
<![CDATA[Rajani Rajalingam]]>;
<![CDATA[M. Usha Rani]]>
<![CDATA[ Journal of Applied Engineering and Technological Science (JAETS) Vol. 4 No. 2 (2023): Journal of Applied Engineering and Technological Science (JAETS) ]]>
Publisher : <![CDATA[Yayasan Riset dan Pengembangan Intelektual (YRPI) ]]>
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DOI: 10.37385/jaets.v4i2.2164
<![CDATA[The increasing prevalence of brain tumors necessitates accurate and efficient methods for their identification and classification. While deep learning (DL) models have shown promise in this domain, their computational demands pose challenges when deploying them on resource-constrained mobile devices. This paper investigates the potential of Mobile Edge Computing (MEC) and Task Offloading to improve the performance of DL models for brain tumor classification. A comprehensive framework was developed, considering the computational capabilities of mobile devices and edge servers, as well as communication costs associated with task offloading. Various factors influencing task offloading decisions were analyzed, including model size, available resources, and network conditions. Results demonstrate that task offloading effectively reduces the time and energy required to process DL models for brain tumor classification, while maintaining accuracy. The study emphasizes the need to balance computation and communication costs when deciding on task offloading. These findings have significant implications for the development of efficient mobile edge computing systems for medical applications. Leveraging MEC and Task Offloading enables healthcare professionals to utilize DL models for brain tumor classification on resource-constrained mobile devices, ensuring accurate and timely diagnoses. These technological advancements pave the way for more accessible and efficient medical solutions in the future.]]>
<![CDATA[Understanding the Perspectives and Usability of Digital games for Children with Intellectual Disabilities ]]>
<![CDATA[Dhiyaneshwari RP]]>;
<![CDATA[Renuga Devi C]]>
<![CDATA[ Journal of Applied Engineering and Technological Science (JAETS) Vol. 5 No. 1 (2023): Journal of Applied Engineering and Technological Science (JAETS) ]]>
Publisher : <![CDATA[Yayasan Riset dan Pengembangan Intelektual (YRPI) ]]>
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DOI: 10.37385/jaets.v5i1.1657
<![CDATA[Typically, the digital games are used as a medium for teaching students having intellectual disabilities, and it helps the student to enhance their learning skills and to understand their surroundings. Intellectual disability is a neurological disease that manifests as a deficit in an individual's mental and adaptive functioning during childhood. Moreover, the computer-assisted training has been shown to be the most effective method of instruction for children with disabilities in terms of conceptual learning, academic accomplishment, and skill-based development. Traditionally, some existing research works are done in this field for analyzing the effectiveness of digital games. Accordingly, the main contribution of this research work is to determine the perception of special educators and usability of digital games in educational settings for children with intellectual disabilities. By identifying the needs for their design and use in those children's classes, this study intends to further illuminate how to employ digital games in education as a contribution to improving educable intellectually impaired children's teaching and learning practices. In addition, a case study is conducted in this work using a closed-ended questionnaire on a sample of 60 special educators, handling Children with Intellectual disabilities. According to this case study analysis, the quantitative analysis suggest that special educators have a strong need to use digital games to optimize learning for children with intellectual disabilities and to promote digital inclusion. Based on the outcomes, it is inferred that the digital game based learning could be more helpful and beneficial for the student with intellectual disabilities in real time.]]>
<![CDATA[Phytoarchitecture Design Requires a Plant Selection Framework to Combat Air Contaminants in Building Areas Sustainably ]]>
<![CDATA[Harida Samudro]]>;
<![CDATA[Ganjar Samudro]]>;
<![CDATA[Sarwoko Mangkoedihardjo]]>
<![CDATA[ Journal of Applied Engineering and Technological Science (JAETS) Vol. 5 No. 1 (2023): Journal of Applied Engineering and Technological Science (JAETS) ]]>
Publisher : <![CDATA[Yayasan Riset dan Pengembangan Intelektual (YRPI) ]]>
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DOI: 10.37385/jaets.v5i1.1757
<![CDATA[Empowerment of plants to maintain the indoor and outdoor air quality of a building area promises occupant health and sustainable use of the building. In supporting plants' functional role, this study proposes a novel approach for a general framework for selecting plants. The method to achieve the objectives of this study was based on previous empirical studies conducted in various places under different environmental quality conditions. The essential findings of the selected literature became part of the technical feasibility process in selecting plants. Significant results indicate the mechanism of controlling airborne contaminants by plants through aerial parts and growth media. Gaseous pollutants can be absorbed along with carbon dioxide absorption, while particulate matter is deposited on the leaf surface. Some other contaminants enter the plant growth medium, which plants can process with microbes in the root zone. The use of plants for indoor and outdoor phytoremediation is various plant species, sourced and selected from a retrospective study, locally available and standard plants, and popular plants. These findings were developed to include assessments of contaminant-plant interactions and plant-specific experiments. The implications of the plant selection framework can be one of the promising methods in designing sustainable building phytoarchitectures.]]>
<![CDATA[Is It Practical Digital Learning Application For Learning 3D Graphic Design Based on Augmented Reality? ]]>
<![CDATA[Fitri Ayu]]>;
<![CDATA[Ganefri Ganefri]]>;
<![CDATA[Dedy Irfan]]>;
<![CDATA[Asrul Huda]]>;
<![CDATA[Des Suryani]]>
<![CDATA[ Journal of Applied Engineering and Technological Science (JAETS) Vol. 5 No. 1 (2023): Journal of Applied Engineering and Technological Science (JAETS) ]]>
Publisher : <![CDATA[Yayasan Riset dan Pengembangan Intelektual (YRPI) ]]>
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DOI: 10.37385/jaets.v5i1.1785
<![CDATA[Learning Graphic Design requires a high level of visualization, especially for design concepts or 3D interior design. If this material is only taught through guided practice in class, the learning outcomes will certainly not be optimal, especially for vocational graduates in the current digital era. The research aims to test the practicality of digital learning applications based on augmented reality technology as a learning medium for 3D interior graphic design. The type of research is Research and Development (R&D) with the Borg and Gall Method, data collection techniques using Likert scale questionnaires, applications built using Blender for modelling, Unity 3D for Augmented Reality Implementation, Android Studio for designing applications, Firebase for database storage, and Fiqma to design the interface design. This research produces a digital learning application that is used for learning 3D interior graphic design which is equipped with learning needs such as classrooms, and communication rooms and is based on Augmented Reality technology so that the resulting interior design objects can be displayed in real-time. Aiken's V formula is used to test the practicality of digital learning applications. The research results showed that the average Aiken's V score from lecturers was 85.22% in the practical category, and students in the small group test was 82.96% and students in the large group test was 83.04% in the practical category. So, it can be concluded that the use of the DiGi.AR application based on Augmented Reality is good and practical for learning 3D graphic design.]]>
<![CDATA[A Machine Learning Model for Determination of Gender Utilizing Hybrid Classifiers ]]>
<![CDATA[Dewi Nasien]]>;
<![CDATA[M. Hasmil Adiya]]>;
<![CDATA[Yusnita Rahayu]]>;
<![CDATA[Dahliyusmanto Dahliyusmanto]]>;
<![CDATA[Erlin Erlin]]>;
<![CDATA[Devi Willieam Anggara]]>
<![CDATA[ Journal of Applied Engineering and Technological Science (JAETS) Vol. 5 No. 1 (2023): Journal of Applied Engineering and Technological Science (JAETS) ]]>
Publisher : <![CDATA[Yayasan Riset dan Pengembangan Intelektual (YRPI) ]]>
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DOI: 10.37385/jaets.v5i1.1839
<![CDATA[One part of forensic anthropology involves investigating skeletal remains to identify corpses, and many of these remains were found incomplete, burned, broken, or destroyed, making investigation challenging. This study aims to use the pelvis and femur to identify the gender of skeletal remains. The pelvis and femur have previously been proven to be accurate indicators of a corpse's gender. The identification process is done through the measurement of the subpubic angle of the pelvis and the angle taken straight down from the top of the femur to the patella and then straight up. The two measurements were combined using the principal component analysis (PCA) method into two attributes on the x and y axes. These attributes were later used as data for the machine learning model design. The design process consisted of an Artificial Neutral Network (ANN) design model and Support Vector Machine (SVM) design model combined into a hybrid machine learning system. The ANN and SVM hybrid machine learning were tested with acquired data. The result of the test using the confusion matrix showed 83.33% accuracy, which is categorized as "good classification" based on Area Under the Curve (AUC).]]>
<![CDATA[Effectiveness Analysis of Hydraulic Torque Wrench Machine Using Failure Mode and Effect Analysis (FMEA) and Logic Tree Analysis Study Case on Heavy Equipment Manufacturing ]]>
<![CDATA[Dhadung Prihananto]]>;
<![CDATA[Taufik Roni Sahroni]]>
<![CDATA[ Journal of Applied Engineering and Technological Science (JAETS) Vol. 5 No. 1 (2023): Journal of Applied Engineering and Technological Science (JAETS) ]]>
Publisher : <![CDATA[Yayasan Riset dan Pengembangan Intelektual (YRPI) ]]>
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DOI: 10.37385/jaets.v5i1.1920
<![CDATA[Production quality in terms of process efficiency and quality in the manufacturing industry must always be improved in order to maintain customer confidence. PT XYZ as a heavy equipment assembly company is one of the companies that depends on process reliability for a smooth production process. Based on this, the problems raised in this study focus on increasing the efficiency of the process of installing bolts on slew bearings. By using Overall Equipment Efficiency (OEE) and Process Capability (CpK) as the main benchmarks for measuring the quality of the production process where the latest data shows the average OEE value is at 18.53%, while the CpK value for the bolt tightening process is at 0 ,67. The OEE and CpK figures obtained show that the process quality is still not optimal and needs to be improved. The purpose of this research is to identify and prevent as many factors as possible that can lead to process failure. The methods used to evaluate processes and to identify where and how a process might fail are Failure Mode and Effect Analysis (FMEA) and Logic Tree Analysis (LTA). Both methods are used to identify and prevent as many factors as possible that can lead to a process failure. The results of research using the FMEA and LTA methods show that in the process of installing slew bearing bolts there is a process that needs to be improved because the RPN value is quite high, namely above 125. Some suggestions for improvement such as the use of a manipulator arm on a torque tool and the implementation of a manufacturing execution system (MES) can reduce the RPN value from above 125 to 28, where the process obtained is better than before.]]>
<![CDATA[Moving Object Activator in Background Subtraction Algorithm for Automatic Passenger Counter System in Public Transportation ]]>
<![CDATA[Gita Indah Hapsari]]>;
<![CDATA[Giva Andriana Mutiara]]>;
<![CDATA[Muhammad Rizky Alfarisi]]>;
<![CDATA[Lisda Meisaroh]]>;
<![CDATA[Fanny Husnul Hanifa]]>;
<![CDATA[Ramadhanu Putra]]>;
<![CDATA[Dimas Salim]]>;
<![CDATA[Aris Pujud Kurniawan]]>
<![CDATA[ Journal of Applied Engineering and Technological Science (JAETS) Vol. 5 No. 1 (2023): Journal of Applied Engineering and Technological Science (JAETS) ]]>
Publisher : <![CDATA[Yayasan Riset dan Pengembangan Intelektual (YRPI) ]]>
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DOI: 10.37385/jaets.v5i1.1956
<![CDATA[Buses are the most used transportation by people in Indonesia when traveling between cities. However, to improve passenger comfort, a tool is required to determine the number of passengers on the bus. This research presents an automated system to count the number of passengers based on a background subtraction algorithm and moving object activator. This research aims to provide the number of passengers based on video images taken from the entranceway. The system is built with a camera, Raspberry Pi, and LCD. The APC system starts the counting process by removing the video background image from the captured object image. The entry and exit direction of the object is determined using the concept of moving object activator. The experiments were applied in several scenarios to determine the robustness of the system. The best APC performance was achieved when the system is positioned perpendicularly above the entranceway at a height of 230 cm and a light intensity of 800-1000 lux. Meanwhile, the moving object activator is effective in supporting the system's performance to determine the passenger's direction. In this scenario, the results stated that the accuracy of APC system performance reached 93.8%.]]>
<![CDATA[Smart Home System With Battery Backup and Internet of Things ]]>
<![CDATA[Hari Maghfiroh]]>;
<![CDATA[Joko Slamet Saputro]]>;
<![CDATA[Berlian Shanaza Andiany]]>;
<![CDATA[Chico Hermanu]]>;
<![CDATA[Miftahul Anwar]]>;
<![CDATA[Muhammad Nizam]]>;
<![CDATA[Alfian Ma’arif]]>
<![CDATA[ Journal of Applied Engineering and Technological Science (JAETS) Vol. 5 No. 1 (2023): Journal of Applied Engineering and Technological Science (JAETS) ]]>
Publisher : <![CDATA[Yayasan Riset dan Pengembangan Intelektual (YRPI) ]]>
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DOI: 10.37385/jaets.v5i1.1969
<![CDATA[This research enhances Smart Home Systems by integrating an Automatic Transfer Switch (ATS) for seamless power source switching between the grid and a backup battery, ensuring uninterrupted operation during power disruptions. An Automatic Battery Charging (ABC) system optimizes battery charging based on its condition, improving energy storage and efficiency. The system provides on-site electrical equipment control and sensor data access via a Human Machine Interface (HMI). Remote monitoring and control through the Blynk app offer convenience. Additionally, an energy consumption estimation feature allows users to estimate billing costs, with the Battery State of Charge (SoC) indicating the remaining battery capacity. Hardware testing showed the system's reliability with a 2-4 second ATS response and ±2-second ABC response. This research offers homeowners reliable power continuity and energy optimization. It contributes to IoT-based smart home systems, demonstrating ATS and ABC effectiveness, advancing both theory and practice for modern smart living.]]>
