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[Post-Disaster Engineering Strategy for Anai River Debris Flow Management on Anai Valley National Road West Sumatra Indonesia ]]>
<![CDATA[Andriani Andriani]]>;
<![CDATA[Bambang Istijono]]>;
<![CDATA[Rahmad Yuhendra]]>;
<![CDATA[Mahdi Mahdi]]>;
<![CDATA[Muhammad Al Giffari]]>;
<![CDATA[Arian Dodi]]>;
<![CDATA[Bayu Martanto Adji]]>
<![CDATA[ Journal of Applied Engineering and Technological Science (JAETS) Vol. 6 No. 1 (2024): Journal of Applied Engineering and Technological Science (JAETS) ]]>
Publisher : <![CDATA[Yayasan Riset dan Pengembangan Intelektual (YRPI) ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.37385/jaets.v6i1.5845
<![CDATA[One of the causes of flash floods is eruption material from Mount Marapi that is carried downstream, disrupting transportation access and the local economy. This study aimed to design and implement an effective post-disaster engineering strategy for debris flow management in the Anai River and evaluate its long-term success. Data were collected through field observations to measure river profiles, photogrammetry, and sediment sampling. Secondary data were used to calculate rainfall intensity and flood discharge in the Anai River to plan debris flow control. The study results showed that the large catchment area and high rainfall contributed significantly to the high peak discharge. Disturbed soil samples taken from the river surface were saturated, indicating the influence of sediment from the debris flow from the eruption of Mount Marapi. The removal of material from the riverbed needs to be controlled to avoid overexploitation that could exacerbate erosion of the riverbanks, ultimately threatening bridge structures and other infrastructure along the Anai River. To overcome this problem, it is necessary to build sediment control structures such as check dams and groundsills, as well as secure riverbanks in the management of debris flows in the Anai River.]]>
<![CDATA[Does Social Presence on Social Commerce Platform Attract Buying Intention of Indonesian Local Food? ]]>
<![CDATA[Ratni Prima Lita]]>;
<![CDATA[Meuthia Meuthia]]>;
<![CDATA[Devi Yulia Rahmi]]>;
<![CDATA[M. Fajar Syafrida]]>
<![CDATA[ Journal of Applied Engineering and Technological Science (JAETS) Vol. 6 No. 1 (2024): Journal of Applied Engineering and Technological Science (JAETS) ]]>
Publisher : <![CDATA[Yayasan Riset dan Pengembangan Intelektual (YRPI) ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.37385/jaets.v6i1.5852
<![CDATA[Studying social commerce and consumer behavior in Indonesia is crucial due to the country's rapid digital transformation and unique cultural landscape. This study aims to investigate the effects of social commerce on consumer trust and buying intentions in Indonesia’s local food sector. This study uses a quantitative approach through hypothesis testing. Data was collected using questionnaires and purposive sampling techniques. A survey of 240 respondents was conducted, and data were analyzed using Partial Least Square-Structural Equation Modeling (PLS-SEM). Results indicated that social commerce significantly influences trust in sellers and buying intention, while social support was not significantly affected. Social support and trust significantly influence purchase intention. However, the effect of social commerce on social support and trust in sellers through social presence moderation is not proven. This study highlights the role of social commerce in building consumer trust, though its effects on social support remain inconclusive. This research is interesting for developing social commerce to attract buyers' interest in local Indonesian food]]>
<![CDATA[Innovative Tech-Savvy Education: Designing a Smart Assessment System ]]>
<![CDATA[Syaiful Islami]]>;
<![CDATA[Ambiyar Ambiyar]]>;
<![CDATA[Sukardi Sukardi]]>;
<![CDATA[Anggi Agni Zaus]]>;
<![CDATA[Anggun Agni Zaus]]>;
<![CDATA[Mahesi Agni Zaus]]>
<![CDATA[ Journal of Applied Engineering and Technological Science (JAETS) Vol. 6 No. 1 (2024): Journal of Applied Engineering and Technological Science (JAETS) ]]>
Publisher : <![CDATA[Yayasan Riset dan Pengembangan Intelektual (YRPI) ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.37385/jaets.v6i1.5861
<![CDATA[The purpose of this research is to create a smart assessment system linked to a project-based learning model through a website. It is anticipated that this system will raise the proficiency and productivity of learning evaluation through the implementation of digital technology. The approach applied in this research includes the identification of needs, and the designing of the system, followed by software development and testing. According to the findings of the research, it is evident that the system developed for smart assessment can offer several complex and combined assessment facilities within the system, which would help the educators for easier examination of the student’s performance on a real-time basis. In addition to that, this system also enhances the common work of the students with the educators on completing the project assigned by the latter. Hence, the incorporation of website-based online assessments tries to extend the validity of the PBL implementation approach as well as contribute positively towards embracing positive enhancement in education.]]>
<![CDATA[Development of Potato Nano Carbon as Electrode for Supercapacitors Achieves Green-Sustainable Development Goals ]]>
<![CDATA[Indri Dayana]]>;
<![CDATA[Dadan Ramdan]]>;
<![CDATA[Moranain Mungkin]]>;
<![CDATA[Habib Satria]]>;
<![CDATA[Muhammad Fadlan Siregar]]>;
<![CDATA[Martha Rianna]]>;
<![CDATA[Juliaster Marbun]]>;
<![CDATA[Siti Utari Rahayu]]>
<![CDATA[ Journal of Applied Engineering and Technological Science (JAETS) Vol. 6 No. 1 (2024): Journal of Applied Engineering and Technological Science (JAETS) ]]>
Publisher : <![CDATA[Yayasan Riset dan Pengembangan Intelektual (YRPI) ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.37385/jaets.v6i1.5862
<![CDATA[The development of potato nanocarbon as an electrode from potatoes for supercapacitors will answer the energy needs that are needed and are continuously researched. This research was conducted in the laboratory by giving marinade treatment to potatoes and measured repeatedly and testing was carried out to determine the extent of the carbon content so that potatoes are very good to be used as electrodes with electroplating method. The results obtained were 0.8 grams of potatoes with a very high conductivity increase to 0.97 m S. The result TEM 160 nm after treatment an average size of 100 nm successfully coated on the surface of the particles. FTIR shows a wavelength of 3282.48 cm due to the width of potato absorption and overlapping with the C-H-O group. AAS shows the adsorption capacity of modified potato on metals occurs in the pH range 4.5-5.5. Analysis of potatoes to be made as electrodes with two positive and negative pieces showed better dispersion stability. The electrodes are made and have been tested using a smartphone. The acid in the potato forms a chemical reaction with zinc and copper and when electrons flow from one material to another energy is released.]]>
<![CDATA[Life Time Prediction of an Electromagnet Relay using Clustering based Principal Component Analysis with Hybrid Deep Learning Model ]]>
<![CDATA[T. Maris Murugan]]>;
<![CDATA[C. Reeda Lenus]]>;
<![CDATA[S. Sridharan]]>;
<![CDATA[A. Malligarjun]]>
<![CDATA[ Journal of Applied Engineering and Technological Science (JAETS) Vol. 6 No. 1 (2024): Journal of Applied Engineering and Technological Science (JAETS) ]]>
Publisher : <![CDATA[Yayasan Riset dan Pengembangan Intelektual (YRPI) ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.37385/jaets.v6i1.5891
<![CDATA[The estimation of the electromagnet relay remaining useful life is highly crucial to maintain reliability and avoid unscheduled breakdowns in various applications. The objective of this research work will be to design a model with much higher precision and efficiency utilizing PCA coupled with a hybrid deep learning architecture of Bi-LSTM along with Bi-GRU. The C-MAPSS dataset was of reduced dimensionality, since PCA has been applied to eliminate data redundancy while retaining crucial characteristics, and then K-means clustering is applied to classify the data; afterwards, the Bi-LSTM and Bi-GRU models are implemented for RUL relay prediction. The proposed method in comparison with typical deep learning models has a Mean Absolute Error of 0.021 and an R² of 0.996. Results developed reflect how the model can produce some very powerful prediction, however; what it really shows is great potential for this approach with respect to predictive maintenance of electromagnet relays. PCA may well amalgamate with Bi-LSTM and Bi-GRU models to achieve great scalability according to the maintenance engineering, which offers practical applications in improving the lifetime of the electromagnet relays.]]>
<![CDATA[Multimodal Analysis of Augmented Reality in Basic Programming Course: Innovation Learning in Modern Classes ]]>
<![CDATA[Rizky Ema Wulansari]]>;
<![CDATA[Rizki Hardian Sakti]]>;
<![CDATA[Hasep Saputra]]>;
<![CDATA[Agariadne Dwinggo Samala]]>;
<![CDATA[Rifyal Novalia]]>;
<![CDATA[Hla Myo Tun]]>
<![CDATA[ Journal of Applied Engineering and Technological Science (JAETS) Vol. 6 No. 1 (2024): Journal of Applied Engineering and Technological Science (JAETS) ]]>
Publisher : <![CDATA[Yayasan Riset dan Pengembangan Intelektual (YRPI) ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.37385/jaets.v6i1.5929
<![CDATA[The purpose of this research was to examine the effectiveness of Augmented Reality when implemented as a modern approach in a basic programming course, to solve problems in learning abstract concepts of programming. This vision places AR as a rich solution to programming education in the digital era, given the potential of the medium in delivering a deeper understanding of programming constructs in the context of complex and engaging visualizations. In this experimental study, a multimodal analysis and the ASSURE model were used in incorporating AR in a contemporary classroom. There were 61 students who took the basic programming course for students and all of them were included in the study. Self-completed questionnaires were used to record the impact of AR on the students, specifically on the understanding of the concept, motivation to learn and learning engagement. The study brought out the following key discovery; Ar enhanced students’ comprehension of the basic concepts in programming, enhanced their interest and encouraged them through the creative design of the learning process. AR enhanced some aspects of programming elucidated by student, particularly turning the complex programming strategy into an easily manageable model as well as providing for a real-time simulation and graphical rendering, all of which were difficult. Still, and importantly, AR cut down on mistakes and provided a clear understanding of the coding patterns Iraq required. Applying AR into the learning of programming education has practical implications in improving students learning experiences as well as simplifying existing concepts. In theory, this work entails the effectiveness of Augmented Reality in programming education and the exploration of opportunities for application of new ideas in technology-enabled teaching in the information age.]]>
<![CDATA[Breakthrough in Brain Tumor Diagnosis: A Cutting-Edge Hybrid Depthwise-Direct Acyclic Graph Network for MRI Image Classification ]]>
<![CDATA[Felix Joseph X]]>;
<![CDATA[Maithili Vijayakumar]]>;
<![CDATA[Sujatha Therese P]]>;
<![CDATA[Josephin Shermila P]]>;
<![CDATA[Eugine Prince M]]>;
<![CDATA[Maris Murugan T]]>
<![CDATA[ Journal of Applied Engineering and Technological Science (JAETS) Vol. 6 No. 1 (2024): Journal of Applied Engineering and Technological Science (JAETS) ]]>
Publisher : <![CDATA[Yayasan Riset dan Pengembangan Intelektual (YRPI) ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.37385/jaets.v6i1.5938
<![CDATA[Both adults and children are at risk of dying from brain tumors. On the other hand, prompt and precise detection can save lives. Early detection is necessary for a proper diagnosis of a brain tumor, and magnetic resonance imaging (MRI) is often used in this context. To assist in the early diagnosis of sickness, neuro-oncologists have used Computer-Aided Diagnosis (CAD) in a number of ways. In this study, proposed a hybrid Depthwise-Direct Acyclic Graph Network (D-DAGNET)-based deep learning was developed to distinguish between cancers and non-tumors. Three processes make up this method: pre-processing, classification, and feature extraction. Pre-processing methods used in this study included contrast enhancement and image shrinking. The MRI picture is processed to get the wavelet and texture properties and used to build a classifier. Using MRI scans, the proposed hybrid Depthwise-Direct Acyclic Graph Network (D-DAGNET) model classifies two types of brain tumors: tumor and non-tumor. Performance criteria such as accuracy (ACC), specificity (SP), and sensitivity (SE) are used to assess the suggested hybrid Depthwise-Direct Acyclic Graph Network (D-DAGNET) model. Based on 850 images, the studies yielded a 99.54% categorization accuracy demonstrate that the suggested hybrid Depthwise-Direct Acyclic Graph Network (D-DAGNET) model beats the most advanced methods.]]>
<![CDATA[Scene Text Detection and Recognition Using Maximally Stable Extremal Region ]]>
<![CDATA[Golda Jeyasheeli P]]>;
<![CDATA[Athinarayanan B]]>;
<![CDATA[Manish T]]>;
<![CDATA[Mohamad Umar M]]>
<![CDATA[ Journal of Applied Engineering and Technological Science (JAETS) Vol. 6 No. 1 (2024): Journal of Applied Engineering and Technological Science (JAETS) ]]>
Publisher : <![CDATA[Yayasan Riset dan Pengembangan Intelektual (YRPI) ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.37385/jaets.v6i1.5958
<![CDATA[In recent years, scene text detection and recognition have become important research areas in computer vision and machine learning. Traditional text detection and recognition methods may struggle with detecting and recognizing text in images with low resolution, complex backgrounds, and varying font sizes. The proposed methodology addresses these challenges by combining multiple algorithms and using deep learning techniques. In this paper, we propose a method for scene text detection based on Maximally Stable Extremal Regions (MSER) combined with Stroke Width Transform (SWT) and recognition using Convolutional Recurrent Neural Networks (CRNN). Our method consists of two stages: text detection and text recognition. To detect text, we use MSER and SWT to extract candidate text regions from the input and then, we eradicate non-text regions using image to image translation. Finally, to recognize text, CRNN is used to recognize the text present in the detected regions. Our CRNN architecture consists of convolutional and recurrent layers, which enable us to capture both spatial and temporal features of the text. The methodology is evaluated on various benchmark datasets and has obtained good results with accuracy of 96% when compared to existing methods.]]>
<![CDATA[Development of an Optimized Ensemble Least Squares Model for Identifying Potential Deposit Customers ]]>
<![CDATA[Firman Aziz]]>;
<![CDATA[Mutia Maulida]]>;
<![CDATA[Jafar Jafar]]>;
<![CDATA[Nurafni Shahnyb]]>;
<![CDATA[Norma Nasir]]>;
<![CDATA[Ampauleng Ampauleng]]>
<![CDATA[ Journal of Applied Engineering and Technological Science (JAETS) Vol. 6 No. 1 (2024): Journal of Applied Engineering and Technological Science (JAETS) ]]>
Publisher : <![CDATA[Yayasan Riset dan Pengembangan Intelektual (YRPI) ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.37385/jaets.v6i1.5974
<![CDATA[The banking sector faces significant challenges in effectively promoting its products and services. While direct marketing has proven to be a potent tool for customer acquisition, it often leads to customer dissatisfaction, thereby tarnishing the bank's reputation. Leveraging Business Intelligence (BI) technology offers a strategic advantage by enabling the classification and analysis of customer data, particularly for time deposit customers. This study presents the development and optimization of an Ensemble Least Squares (ELS) algorithm to enhance the classification of potential deposit customers. The proposed Ensemble Least Squares Support Vector Machine (ELS-SVM) algorithm demonstrated superior performance compared to traditional SVM and LS-SVM methods. Notably, the ELS-SVM achieved an average performance improvement of 10.04% over standard Support Vector Machine (SVM) techniques.]]>
<![CDATA[The Geographic Factors-Based Optimization of National Flight Hub Airport Locations for Enhances Aviation Safety Standard ]]>
<![CDATA[Dwi Lestary]]>;
<![CDATA[Dhian Supardam]]>;
<![CDATA[Ocky Soelistyo Pribadi]]>;
<![CDATA[Direstu Amalia]]>
<![CDATA[ Journal of Applied Engineering and Technological Science (JAETS) Vol. 6 No. 1 (2024): Journal of Applied Engineering and Technological Science (JAETS) ]]>
Publisher : <![CDATA[Yayasan Riset dan Pengembangan Intelektual (YRPI) ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.37385/jaets.v6i1.6023
<![CDATA[Indonesia's strategic geographical location and conditions are a result of its archipelagic status. Indeed, this significantly impacts the livelihoods of Indonesians, particularly in the area of transportation. In order to facilitate the mobility of individuals between islands, the government constructed transportation infrastructure and facilities. This will serve as a reference for government regulations that aim to reduce inequality, specifically in the development and distribution of products and services outside Java, particularly in Papua. The primary objective of this research is to conduct a connectivity analysis as an initial step towards optimizing the transportation network and determining the level of connectivity between Indonesian provinces through air transportation. Next, the researchers will study the existing air transportation network's structure to understand its characteristics clearly. It will be helpful material for formulating optimization and network management scenarios. The structuring pattern in question is the application of the hub-and-spoke network concept. The hub-and-spoke network pattern focuses on optimization problems from the perspective of economies of scale. The researchers optimized the provincial capital airport's location to establish a hub airport and subsequently refined the analysis results to enhance the efficiency of the new flight service network. The above steps will compare air travel performance before and after the network arrangement scenario. Indicators for the network connectivity level will also be present, indicating that the final product optimization is now ready for verification. The target of this research is to produce a concept or optimize the location of airport hubs through a comprehensive study taking into account geographic factors and conducting an analysis of the location of National Aviation Hub airports, which is the novelty of this research.]]>
