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Journal of Applied Engineering and Technological Science (JAETS)
Published by Yayasan Pendidikan Riset dan Pengembangan Intelektual
ISSN : 27156087     EISSN : 27156079     DOI : -
Core Subject : Science, Engineering,
Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Industrial & Manufacturing Engineering
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.
Arjuna Subject : Teknik (semua kategori) - Teknik (Lain-Lain)
Articles 358 Documents
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Extraction of Green Grass Jelly Leaves as An Alternative Biopolymer in Polymer Flooding Dita Putri Purnama; Anas Hidayat; Muhammad Khairul Afdhol; Fiki Hidayat
Journal of Applied Engineering and Technological Science (JAETS) Vol. 5 No. 1 (2023): Journal of Applied Engineering and Technological Science (JAETS)
Publisher : Yayasan Riset dan Pengembangan Intelektual (YRPI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37385/jaets.v5i1.3019

Abstract

Biopolymer from Green Grass Jelly Leaves attracts attention due to its friendlier environmental profile and cost-effectiveness in providing raw materials. This research aims to explore the potential of biopolymers from Green Grass Jelly Leaves as an alternative to synthetic polymers in an effort to increase oil recovery involving sequential pretreatment, extraction, and characterization stages to obtain essential pectin compounds. This experiment centers on a biopolymer sourced from Green Grass Jelly Leaves, involving sequential steps of pretreatment, extraction, and characterization to obtain essential pectin compounds. Characterization employed scanning electron microscopy (SEM) and Fourier-transform infrared spectroscopy (FTIR). The recorded peak viscosity for Green Grass Jelly Leaves biopolymer was 2.04 cp at 3000 ppm concentration, contrasting with pectin's 1.98 cp viscosity. In comparison, industrial biopolymer Xanthan Gum displayed significantly higher viscosity at 95.01 cp for 3000 ppm concentration. Thermal stability assessment under reservoir conditions (30°C and 60°C) demonstrated that Green Grass Jelly Leaves biopolymer pectin exhibited peak viscosities of 55.29 cP and 51.77 cP at 3000 ppm concentration, respectively. These results show that the comparison between biopolymer and synthetic polymer is not too far and there is an increase in viscosity as the concentration increases, which can increase sweep efficiency.
Student Acceptance Study of PhET Simulation with an Expanded Technology Acceptance Model Approach Silviana Nur Faizah; Lia Nur Atiqoh Bela Dina; Ari Kartiko; Muhammad Anas Ma`arif; Moch. Sya'roni Hasan
Journal of Applied Engineering and Technological Science (JAETS) Vol. 5 No. 1 (2023): Journal of Applied Engineering and Technological Science (JAETS)
Publisher : Yayasan Riset dan Pengembangan Intelektual (YRPI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37385/jaets.v5i1.3041

Abstract

Phet simulation is a computer-based practicum simulation medium that helps to increase students’ engagement and understanding through concept visualization. Even though there have been numerous studies on the Technology Acceptance Model (TAM) related to Phet simulation, the TAM study of Phet simulation combined with certain learning methods is rarely observed. We propose an advanced version of TAM by including the external variables of system quality, user characteristics, and instructor. This study is a quantitative design with a descriptive, explanatory type. This model was tested using an online questionnaire disseminated to 49 students that finished taking basic natural sciences subjects using Phet simulation based on problem-based learning. The result showed that system quality has an effect on perceived usefulness, perceived ease of use has an effect on behavioral intention of use, behavioral intention of use has an effect on actual usage, and there is no relationship between instructor quality on perceived usefulness. Grit on perceived ease of use, learner anxiety, and perceived usefulness on the behavioral intention of use. These findings have implications regarding user acceptance of Phet simulation combined with certain learning methods, specifically problem-based learning.
Enhancing Support For Senior Citizens: Development And Evaluation of The OSCA Information Management System With Agile Methodology and ISO/IEC 25010 Compliance Johannah Mae C. Velasquez; Alexander S. Cochanco; Ruth G. Luciano
Journal of Applied Engineering and Technological Science (JAETS) Vol. 5 No. 1 (2023): Journal of Applied Engineering and Technological Science (JAETS)
Publisher : Yayasan Riset dan Pengembangan Intelektual (YRPI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37385/jaets.v5i1.3062

Abstract

The elderly were a member of the vulnerable group which the government supported and assisted in every way possible. To contribute to the support and assistance needed by the elderly who are called senior citizens, this study was conducted. This aims to develop and design a usable, performance-efficient, and functional suitable to the operation and service of the Office of the Senior Citizen Affairs (OSCA), Cabanatuan City office. The System Application Office of the Senior Citizen Affairs Information Management System with Analytics (OSCA-IMSA) was developed using the Agile System Development Life Cycle (SDLC) Model. The agile model has different phases and sub-phases that guarantee the quality and efficient development of the system. Every phase and sub-phases lead to a well-organized, and systematic process of system development. The proponents adopted the ISO/IEC 25010 criteria as an evaluation tool to assess the system's usability, reliability, performance efficiency, functional suitability, security, portability, maintainability, and compatibility. The self-made survey questionnaire was used as the main tool to collect the data from the respondents. Purposive sampling was used to determine the right respondents for the study. The study was composed of two different sets of respondents, the first set was the System Users and the second set was composed of IT Experts. The Office of the Senior Citizen Affairs Information Management System with Analytics (OSCA-IMSA) was evaluated and assessed by the respondents with a result of being highly functional, highly efficient, highly portable, highly maintainable, highly compatible, highly secured, highly reliable, and highly usable. This result indicates that the system passed and conformed to the ISO/IEC 25010 Software Product Quality Standard, hence, is recommended to be deployed at the research locale.
Standardscaler's Potential in Enhancing Breast Cancer Accuracy Using Machine Learning Febri Aldi; Febri Hadi; Nadya Alinda Rahmi; Sarjon Defit
Journal of Applied Engineering and Technological Science (JAETS) Vol. 5 No. 1 (2023): Journal of Applied Engineering and Technological Science (JAETS)
Publisher : Yayasan Riset dan Pengembangan Intelektual (YRPI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37385/jaets.v5i1.3080

Abstract

The major consequence of breast cancer is death. It has been proven in many studies that machine learning techniques are more efficient in diagnosing breast cancer. These algorithms have also been used to estimate a person's likelihood of surviving breast cancer. In this study, we employed machine learning algorithms to predict breast cancer. A total of 569 breast cancer datasets were obtained from kaggle sites. Some of the machine learning algorithms that we use are K-Nearest Neighbor (KNN), besides Random Forest (RF), there is also Gradient Boosting (GB), then Gaussian Naive Bayes (GNB), Vector Support Machine (SVM), and then Logistic Regression (LR). Before algorithms were used to train and test breast cancer datasets, StandardScaler was leveraged to transform training datasets and test datasets for improved algorithm performance. As a result of this utilization, the performance measurement carried out succeeded in producing high accuracy. The highest results were obtained from the Logistic Regression algorithm with an accuracy value of 99%. The value of precison is 99% benign, and 100% malignant. The recall results are 100% benign, and 98% malignant. The F1-Score results show 99% benign, and 99% malignant. It is hoped that this research can help the medical party to determine the next step in dealing with breast cancer.
The Construction of Affordable Housing in Developing Countries: a Scientometric Review Deddy Purnomo Retno; Harmiyati Harmiyati
Journal of Applied Engineering and Technological Science (JAETS) Vol. 5 No. 1 (2023): Journal of Applied Engineering and Technological Science (JAETS)
Publisher : Yayasan Riset dan Pengembangan Intelektual (YRPI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37385/jaets.v5i1.3116

Abstract

The presence of affordable housing in developing countries is a crucial issue in order to fulfill the primary need for housing in a large market segment, especially people whose income is below the average household income. In contrast to developed countries, the development of studies on affordable housing construction (AHC) in developing countries has not been well mapped. This certainly creates many gaps in determining the direction of future developments, especially related to the studies that will be carried out. This study tries to map the development of scientific publications related to AHC  in developing countries, from 1983 - 2021. Using scientometric techniques and VosViewers as a data processing tool, 116 publications that meet the given criteria have been identified. The findings of this study reveal a mapping of publications organized by country, organization, research outlet, author, document citation, and main research area. During the observation period, most research focused on developing nations, affordability, sustainable development, the construction industry, and the developing globe. In addition, the results of this study also successfully mapped opportunities for future research focuses related to building materials, affordable housing, low-income populations, decision-making, and structural design. In conclusion, this study highlights the need for further research on affordable housing development in developing countries to guide policy makers and researchers in developing affordable housing solutions that meet the housing needs of low-income households.
Optimizing Cloud-Fog-Edge Job Scheduling Using Catastrophic Genetic Algorithm and Block Chain-Based Trust: A Collaborative Approach Nibras A. Mohammed Ali; Firas A. Mohammed Ali
Journal of Applied Engineering and Technological Science (JAETS) Vol. 5 No. 1 (2023): Journal of Applied Engineering and Technological Science (JAETS)
Publisher : Yayasan Riset dan Pengembangan Intelektual (YRPI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37385/jaets.v5i1.3125

Abstract

Collaborative edge-cloud features improve job scheduling. Cloud job scheduling is crucial. Pending delay completion. A cloud-edge mixed system replaced centralized cloud computing. Combining resource levels reduces terminal user service call latency. Decentralization, regionalization, and node dispersal autonomy increase ambiguity, unreliability, and instability. This paper will plan cloud-migrating tasks on edge devices or the cloud to achieve a global optimum. The objective of this research is to enhance the efficiency of job scheduling in cloud-fog edge environments through the integration of the Catastrophic Genetic Algorithm (CGA), a genetic algorithm inspired by natural evolution. Additionally, Berger's theory will be employed to develop a trust-enabled interaction framework based on blockchain technology. The CGA fitness function incorporates load balancing and reasonability in the coordination of services and scheduling of tasks, with the goal of maximizing performance. This article presents proposed improvements to the CGA, which involve the incorporation of mutation and crossover operators, roulette selection, and cataclysm. These changes aim to expand the search area and potentially discover schedules that are more optimal. The approach also effectively deals with the problem of premature convergence, guaranteeing ample time for the algorithm to comprehensively explore the solution space prior to reaching a final solution. The experimental findings indicate that the strategy put forward in this study yields a substantial reduction in task completion time, surpassing 97%. Furthermore, it effectively addresses the best local problem, hence showcasing competing options.
Triglycerides of Crude Palm Oil to Biokerosene: Studies on Electrolysis and Electromagnetic Effect Sri Rizki Putri Primandari; Krismadinata Krismadinata; Dori Yuvenda; Remon Lapisa; Andre Kurniawan; Mulianti Mulianti; Muhammad Djoni Bustan; Sri Haryati; Gusni Sushanti; Tarig Elshaarani; Yus Donald Chaniago
Journal of Applied Engineering and Technological Science (JAETS) Vol. 5 No. 1 (2023): Journal of Applied Engineering and Technological Science (JAETS)
Publisher : Yayasan Riset dan Pengembangan Intelektual (YRPI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37385/jaets.v5i1.3127

Abstract

Crude Palm Oil (CPO) is a potential feedstock for biokerosene. However, it is problematic when used directly because it is gummy, has a high viscosity and is degradable. Various conversion processes have been conducted that directly convert CPO into biokerosene, but it requires high temperature and pressure. Therefore, as a novelty, this study aims to develop the technology for converting triglycerides into biokerosene under relatively low operating conditions and producing similar petroleum kerosene by electrolysis-assisted and electromagnetic induction. In this study, the conversion technology process was conducted in three steps (i) converting triglycerides to Free Fatty Acids (FFA), (ii) converting FFA to alkanes, and (iii) converting alkanes to biokerosene. Step (ii) is assisted by the electrolysis process, meanwhile, step (iii) is assisted by electromagnetic irradiation. The finding showed that electrolysis obtained 73.47% yield of alkanes and electromagnetic irradiation obtained 78.02% yield of biokerosene.  Biokerosene is almost close to kerosene-based petroleum in terms of colour Saybolt, flash point and Net Heating Value. The findings of this study may provide an alternate technology approach for biokerosene synthesis and solution kerosene scarcity.
Social Consumer Relation Management Using Social Media as a Marketing Scheme in University Ali Ibrahim; Iredho Fani Reza; Mansyur Abdul Hamid; Hadiansyah Ma'sum; Heliza Rahmania Hatta; Aryo De Wibowo; Rahmat Izwan Heroza
Journal of Applied Engineering and Technological Science (JAETS) Vol. 5 No. 1 (2023): Journal of Applied Engineering and Technological Science (JAETS)
Publisher : Yayasan Riset dan Pengembangan Intelektual (YRPI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37385/jaets.v5i1.3149

Abstract

Social media or called as ‘socmed’ is an online media that is frequently used by humans to improve in activities, which include promoting study programs of university. Most universities require a marketing scheme to promote certain study programs by using socmed. This study aims to investigate marketing strategies of universities using social costumer relation management (SCRM) and socmed. This is a qualitative study with a narrative model design. This study included about 2000 students from universities in South Sumatra, Lampung, Bengkulu, and Bangka Belitung, Indonesia. The samples were collected by proportional random sampling approach to attain the number of informants and data were collected through online interview questionnaire. Furthermore, the data were analyzed using coding approaches (open, axial, and selective coding) and value stream analysis. The findings revealed that SCRM can be an alternative marketing scheme for universities that utilize socmed to disseminate information owing to access easiness, complete and updated information, and attractive appearance.
Economic Analysis of Rooftop Based On-Grid and Off-Grid Photovoltaic Systems in Equatorial Area Ali Basrah Pulungan; Adam Rasyid Sidiqi; Hamdani Hamdani; Ichwan Yelfianhar; Habibullah Habibullah; Wawan Purwanto; Kristine Mae Paboreal Dunque
Journal of Applied Engineering and Technological Science (JAETS) Vol. 5 No. 1 (2023): Journal of Applied Engineering and Technological Science (JAETS)
Publisher : Yayasan Riset dan Pengembangan Intelektual (YRPI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37385/jaets.v5i1.3158

Abstract

Through a thorough analysis using Net Present Cost (NPC) over a 20-year period, this research presents a comprehensive and economically optimized solar panel design methodology. The study examines two different PV system configurations: On-Grid PV and Off-Grid PV, using sophisticated simulation and analytical techniques with the aid of HOMER Pro software. The simulation results offer compelling new information about these systems' economic viability. The simulation results in an NPC value of IDR 31,386,360,- for the Off-Grid PV configuration. The On-Grid PV system, in contrast, exhibits a significantly lower NPC value of IDR 8,903,329,- emphasizing its superior economic performance. This On-Grid PV system boasts a significant energy generation capacity of 5,012 kWh/year in addition to favorable cost efficiency. Notably, this is greater than the National Power Company's 1,186 kWh/year energy output. These results highlight the financial benefits of the On-Grid PV system and demonstrate its capability to provide affordable and sustainable energy solutions over a long period. The thorough analysis carried out in this study aids in the optimization of solar panel designs, offers insightful information for future sustainable energy projects, and emphasizes the crucial part that economic factors play in influencing the adoption of renewable energy technologies.
Multi-Object Detection Using YOLOv7 Object Detection Algorithm on Mobile Device Patricia Citranegara Kusuma; Benfano Soewito
Journal of Applied Engineering and Technological Science (JAETS) Vol. 5 No. 1 (2023): Journal of Applied Engineering and Technological Science (JAETS)
Publisher : Yayasan Riset dan Pengembangan Intelektual (YRPI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37385/jaets.v5i1.3207

Abstract

This research discusses the importance of enhancing real-time object detection on mobile devices by introducing a new multi-object detection system that uses the quantified YOLOv7 model. Focusing on the complexities of food item detection, particularly in diverse and intricate contexts, our study uses a dataset that includes five food classes. By investigating the influence of data quantity on the detection model, we demonstrate the superiority of larger datasets in both YOLOv5 and YOLOv7. In addition, our comparison shows that YOLOv7 has better precision, recall, and F1-score values compared to YOLOv5. The crucial methodological contribution lies in the successful quantification of the YOLOv7 model, reducing the model size from 28.6 KB to 14.3 KB and enabling seamless mobile application development. This high-performance mobile application displays a real-time interface response time of 235ms, with precision, recall, and F1-score values of 0.923, 0.9, and 0.911, respectively. Beyond the practical implications for informed dietary choices and improved health outcomes, our study develops object detection techniques theoretically, offering valuable insights that can be applied across various domains and emphasizing the potential impact of our approach on both theory and practice

Page 20 of 36 | Total Record : 358

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