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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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Youtube For Developing Technological Skill Muhammad Kristiawan; I Gusti Agung Ayu Mas Oka; Een Yayah Haenilah; Wachidi Wachidi; Ediansyah Ediansyah; Iwan Aprianto; Ahmad Zulinto; David D Perrodin; Hendri Budi Utama
Journal of Applied Engineering and Technological Science (JAETS) Vol. 4 No. 2 (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.v4i2.1539

Abstract

There are many teachers do not have skill on operating computer specially to make materials interesting for their students. This study was to improve the technological skills of students, particularly those who teach online. In this study, we attempted to determine how students may utilize YouTube as a medium to strengthen their technological skills. This study was carried out by us with the help of students who took the Education Management Course as the subject of study. The data collection technique used in this study was observation sheets, which were  then used to answer the formulation of how the student responses related to the video-making project in the Education Management Course uploaded on YouTube; then, to answer the formulation of how the student’s activities on Education Management, we asked students to complete their video projects and upload them on YouTube; and to answer the formulation of whether the use of YouTube can develop technological skills of students, observation sheets was used. This study concludes that respondents are able to edit and upload video about Education Management on YouTube.
Mitigation of Environmental Damage Through Natural Resources Management Contracts (Eco-Contract Perspective) Hengki Firmanda; Mahmud Hibatul wafi; M. Alpi Syahrin
Journal of Applied Engineering and Technological Science (JAETS) Vol. 4 No. 2 (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.v4i2.1544

Abstract

Environmental damage by extractive activities is caused by the formulation of policies that have not placed nature and the environment as legal subjects. Policy formulation in the form of a contract of work tends to accommodate human interests and is profit-oriented. This study aims to examine strategies for mitigating environmental damage caused by PT Freeport’s mining activities based on an eco-contract perspective. PT Freeport’s contract of work is the object of analysis in this research, while data on environmental damage are obtained from national media. Theoretical-reflective approach is used in analyzing the data to formulate mitigation strategies. The results showed that the mitigation of environmental damage in the eco-contract perspective emphasizes the natural relationships and interactions between all components of the ecosystem. In other words, mitigation of environmental damage requires equal treatment between the environment and humans which also indicates equal rights. In fact, force majeure conditions and natural disasters are still viewed from a human perspective, so that efforts to identify and socialize environmental damage only focus on human aspects rather than nature and the environment. PT Freeport’s contract of work has not accommodated mitigation efforts of environmental damage that ecologically oriented. In addition, the weak mapping, control, and socialization of PT Freeport’s mining activities have implications for the lack of efforts to mitigate environmental damage.
Comparison Analysis of Brain Image Classification Based on Thresholding Segmentation With Convolutional Neural Network Alwas Muis; Sunardi Sunardi; Anton Yudhana
Journal of Applied Engineering and Technological Science (JAETS) Vol. 4 No. 2 (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.v4i2.1583

Abstract

Brain tumor is one of the most fatal diseases that can afflict anyone regardless of gender or age necessitating prompt and accurate treatment as well as early discovery of symptoms. Brain tumors can be identified using Magnetic Resonance Imaging (MRI) to detect abnormal tissue or cell development in the brain and surrounding the brain. Biopsy is another option, but it takes approximately 10 to 15 days after the inspection, so technology is required to classify the image. The goal of this study is to conduct a comparative analysis of the greatest accuracy value attained while classifying using segmentation with thresholding versus segmentation without thresholding on the CNN method. Images are assigned threshold values of 150, 100, and 50. The dataset consists of 7023 MRI scans of four types of brain tumors: glioma, notumor, meningioma, and pituitary. Without utilising thresholding segmentation, the classification yielded the highest degree of accuracy, 92%. At the threshold of 100, classification by segmentation received the highest score of 88%. This demonstrates that thresholding segmentation during CNN model preprocessing is less effective for brain image classification
Social Commerce Purchase Intention Factors in Developing Countries : A systematic literature review Adi Suryaputra Paramita
Journal of Applied Engineering and Technological Science (JAETS) Vol. 4 No. 2 (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.v4i2.1585

Abstract

Over the last decade, research on social commerce has grown exponentially, reflecting the widespread adoption of social commerce strategies and practices. Social commerce encompasses a broad range of distinct concepts. Recent reviews of the literature detail the numerous factors of social commerce adoption. This paper has an objective to investigate the important factor of social commerce adoption in developing countries. 149 articles from high quality repository collected to be review, in this study the systematic literature review conducted through Kitchenham methodology which consist of developing research question, determining the sources as well as research string, categorizing inclusion and exclusion criteria, choosing the primary studies, extracting the data then synthesizing the data. After careful quality assessment process, 49 articles selected to process in depth review. The result of this study found that there ae several important factors and lead by trust factor for social commerce adoption in developing countries.
Does The Indonesian National Standard (SNI) for Products in SMES Influence Cleaner Production Practices? A Snapshot of Best Practices from Yogyakarta, Indonesia Muhammad Imron Rosyidi; Maria Theresia Sri Budiastuti; Mugi Rahardjo; Totok Gunawan
Journal of Applied Engineering and Technological Science (JAETS) Vol. 4 No. 2 (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.v4i2.1591

Abstract

This article investigates the extent to which the Indonesian National Standard (SNI) for products adopted and applied by small and medium enterprises (SMEs) in Yogyakarta, Indonesia, can encourage them to effectively implement a quality management system (QMS) within their internal organizations, which eventually affects and benefits their process performance and clean production practices. Survey data collected from 44 respondents in 12 SMEs with SNI-certified products were processed and examined using descriptive analysis and regression analysis. The results showed that these could implement QMS effectively partly because it is a requirement for the SNI certification of the proposed product. The effectiveness of QMS implementation affects the achievement of process performance in that it can reduce the number of defective products, process costs, and process cycle times. According to the respondents, an effective QMS makes every activity and action taken in the production process more environmentally friendly and leads to cleaner production practices. These findings can help further research determine the model's feasibility to design and develop a better framework that promotes QMS and clean production practices, especially among SMEs in Indonesia.
Towards Improving 5G Quality of Experience: Fuzzy as a Mathematical Model to Migrate Virtual Machine Server in The Defined Time Frame Taufik Hidayat; Kalamullah Ramli; R. Deiny Mardian; Rahutomo Mahardiko
Journal of Applied Engineering and Technological Science (JAETS) Vol. 4 No. 2 (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.v4i2.1646

Abstract

The industry and government have recently acknowledged and used virtual machines (VM) to promote their businesses. During the process of VM, some problems might occur. The issues, such as a heavy load of memory, a large load of CPU, a massive load of a disk, a high load of network and time-defined migration, might interrupt the business processes. This paper identifies the migration process among hosts for VM to overcome the problem within the defined time frame of migration. The introduction of VMs migration in a timely manner is to detect a problem earlier. There are workload parameters, such as network, CPU, disk and memory as our parameters. To overcome the issue, we have to follow the Model named Fuzzy rule. The rule follows the basic of tree model for decision-making. The application of the fuzzy Model for the study is to determine VMs allocation from busy VMs to vacant VMs for balancing purposes. The result of the study showed that the use of the fuzzy Model to forecast VMs migration based on the defined rule had 2 positive impacts. The positive impacts are (1) Time frame live migration of VMs can reduce workload by 80 %. This aims to reduce failures in performing a live migration of VMs to increase data center performance. (2) In testing, the fuzzy Model can provide results with an accuracy of 90 %, so this model can perform a live migration of VMs precisely in determining the execution time. Next, the workload could be balanced among VMs. This research could be used further to improve 5G Quality of Experience (QoE) shortly.
Using Holt Winter 2 Variable Modelling To Analyze The Potential Combining Of Zakat Collection In Three Countries In Southeast Asia As One Business Centre Muhammad Marizal; Afrizal Mansur; Ibrahim Sulaiman Hanaish; Jamaluddin Jamaluddin; Zikri Darussaamin; Kasmuri Kasmuri; Saifullah Saifullah
Journal of Applied Engineering and Technological Science (JAETS) Vol. 4 No. 2 (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.v4i2.1652

Abstract

The Covid 19 outbreak has taught businesses all over the world that they must have a business that can not only survive but also thrive in the face of the pandemic. The income from the Zakat, which is one of Islam's teachings about stable business, tends to rise despite the pandemic. As most Muslim countries on the planet, Indonesia, Malaysia, and Singapore have shown that their Zakat Organization, which is utilized to gather gifts from the public every year, expanded dramatically during the pandemic. The primary focus of this investigation will be the data on annual income from Indonesia, Malaysia, and Singapore, three of the world's most Muslim nations. The fact that some businesses will always be loyal to the government is the foundation of the statistical modeling theory that aims to predict the annual zakat income in five and ten years. Holt Winter's statistical modeling of two variables will be used to guarantee accurate forecasting. It accurately generates comparable annual data for the three nations. Likewise, that might act as a strong starting point for using measurable displaying to gauge the zakat gathered in the resulting five and a decade. The zakat revenue will continue to significantly rise in each nation as the study concludes. This result also indirectly demonstrated that businesses in every nation will be able to combine zakat as a blessing without experiencing deflation in Southeast Asia
Study of Contract Change Order (CCO) on Implementation Time in Building Construction Project Tutang Muhtar Kamaludin; Andi Rusdin; Nirmalawati Nirmalawati
Journal of Applied Engineering and Technological Science (JAETS) Vol. 4 No. 2 (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.v4i2.1664

Abstract

The aim of this research is to identify the main causes and effects of CCO in the construction of the Palu State Islamic University (IAIN) campus II building project for the Faculty of Tarbiyah and Teacher Training and the Faculty of Sharia and Islamic Economics Lecture Building. Tasks included conducting a field survey via a questionnaire and interviews with main parties; project owner, contractors and consultants who are directly related to the project. It was determined that the top three causes of CCO from project owner, contractor and consultant. The contractor has do CCO at the beginning of the project of 70% respondent, while consultant has changed contract order at mid-project implementation of 50% respondents and 70% at the end project implementation from the contractor. The results that are quite important from this study are the discovery of volume estimation errors and changes in work methods. Errors in estimating volumes are caused by the planning consultant's inaccuracy in planning so that there is a significant difference in volume from the initial contract with conditions in the field so that some work items experience an increase or decrease in volume
The Development of Exhaust Fan Housing With Ceiling Mounting For High Rise Buildings by Using DFMA Agri Suwandi; Muhammad Pillar Rachmawanto; Wina Libyawati; Januar Parlaungan Siregar
Journal of Applied Engineering and Technological Science (JAETS) Vol. 4 No. 2 (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.v4i2.1675

Abstract

Design for manufacturing and assembly (DFMA) is widely applied in many industries to optimize the manufacturing and assembly process at the early stage of design, with the aides of the CAD model. Many researchers apply the DFMA to increase assembly efficiency, by decreasing the number of parts from a product, decreasing the manufacturing cost, and reducing assembly time. Therefore, this research applies DFMA to develop exhaust fan housing with ceiling mounting for high rise building type with the same purpose, and at the same time to justify that the method can overcome the problem of assembly time in a production line. Both designs from before and after the application of DFMA, are being compared by using finite element simulation and experimental. The simulation employs stress analysis, to predict the strength of those designs. While the experimental uses a manufacturing cost survey, real assembly time survey and failure test to show the advantages of DFMA design results. The research result shows that the DFMA method can decrease the manufacturing cost by 0.44%, and the assembly time by up to 2%, and able to withstand the entire mass of the ceiling mounting fan.
Regression Model-Based Short-Term Load Forecasting for Load Despatch Centre Saikat Gochhait; Deepak Sharma
Journal of Applied Engineering and Technological Science (JAETS) Vol. 4 No. 2 (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.v4i2.1682

Abstract

Forecasting load is an integral part of the planning, operation, and control of power systems. This paper is part of a research effort aimed at developing better energy demand forecasting models for load dispatch centers (LDCs) in Indian states as part of an ambitious project utilizing artificial intelligence-based load forecasting models. In this paper, we present a half hourly load forecasting method for the energy management system of the project that will be used at 33 /11 kV and 0.415 kV substations with good accuracy. The paper uses the half-hourly load consumption dataset collected from MSEDCL for Maharashtra from July 1, 2020 through August 31, 2022. This paper evaluates 24 regression model-based half hourly based load forecasting algorithms for ALE PHATA load based on the load consumption dataset and the collected meteorological dataset. The 24 models in MATLAB Regression belong to five types of regression models: Linear Regression, Regression Trees, Support Vector Machines (SVM), Gaussian Process Regression (GPR), Ensemble of Trees, and Neural Networks. As a consequence of their nonparametric kernel-based probabilistic nature, the GPR family of models demonstrates the best load forecasting performance. Least squares estimation was used to determine the regression coefficients. There is a direct correlation between load in an electrical power system and temperature, due point, and seasons, as well as a correlation between load and previous load consumption. Therefore, the input variables are Wet Bulb Temperature at 2 Meters (C), Dew/Frost Point at 2 Meters (C), Temperature at 2 Meters (C), Relative Humidity at 2 Meters (%), Specific Humidity at 2 Meters (g/kg) and Wind Speed at 10 Meters (m/s). The mean absolute percentage error and the R squared are used to validate or verify the accuracy of the model, which is shown in the results section. Based on this study, two GPR models are recommended for load forecasting, the Rational Quadratic GPR and the Exponential GPR and Exponential GPR as final model.

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