TEM Journal-Technology Education Management Informatics最新文献_第6页

A Geospatial Donation Platform for COVID-19 and Beyond, Leveraging Location – Based Services and Geofencing 利用基于位置的服务和地理围栏，为2019冠状病毒病及其他疾病提供地理空间捐赠平台

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TEM Journal-Technology Education Management Informatics Pub Date : 2023-08-28 DOI: 10.18421/tem123-73

S. Puttinaovarat, Paramate Horkaew

{"title":"A Geospatial Donation Platform for COVID-19 and Beyond, Leveraging Location – Based Services and Geofencing","authors":"S. Puttinaovarat, Paramate Horkaew","doi":"10.18421/tem123-73","DOIUrl":"https://doi.org/10.18421/tem123-73","url":null,"abstract":"The current global scenario is characterized by epidemics and various types of disasters, severely impacting communities' health, living conditions, and economic stability. Especially during such crises, the requirement for essential necessities becomes critical. Existing solution guidelines involve receiving donated items from public agencies through an offline system to provide assistance to victims. However, this implementation faces several limitations, such as a lack of understanding of people's needs in specific areas, leading to mismatches between assistance and actual requirements. Additionally, donators lack adequate information, resulting in further discrepancies between donated items and the victims' genuine needs. The available geospatial platforms primarily support surveillance and monitoring of epidemic or disaster situations but fail to address the management of needs related to donation and receipt. Through an extensive review of the literature and related research, it was identified that a geospatial platform specifically dedicated to donation management has not yet been developed. To address this gap, this research proposes the creation of a novel geospatial platform using data analysis and visualization methods, complemented by the integration of geofencing technology. By employing such an approach, the geospatial platform will play a pivotal role in enhancing disaster and epidemic assistance. It will facilitate efficient data processing and visualization, overcoming the limitations faced by the current offline system. Emphasis will be placed on improving the management of needs concerning donation and receipt, thereby mitigating mismatches between assistance and actual requirements. Consequently, this platform is expected to significantly enhance the effectiveness and targeting of aid distribution during times of crises.","PeriodicalId":45439,"journal":{"name":"TEM Journal-Technology Education Management Informatics","volume":null,"pages":null},"PeriodicalIF":0.7,"publicationDate":"2023-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47286508","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Application of Lexicographic Goal Programming Method on Stock Portfolio Optimization With Expected Shortfall Approach 字典目标规划方法在期望缺口法股票投资组合优化中的应用

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TEM Journal-Technology Education Management Informatics Pub Date : 2023-08-28 DOI: 10.18421/tem123-19

I. Syahrini, Ariefia Sardini, Nurmaulidar Nurmaulidar, M. Ikhwan

引用次数: 0

Exploring the Full Potential of Collaborative Learning and E-Learning Environments in Universities: A Systematic Review 探索大学协作学习和电子学习环境的全部潜力:系统综述

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TEM Journal-Technology Education Management Informatics Pub Date : 2023-08-28 DOI: 10.18421/tem123-60

Wagino Wagino, H. Maksum, W. Purwanto, K. Krismadinata, S. Suhendar, Rahmat Desman Koto

{"title":"Exploring the Full Potential of Collaborative Learning and E-Learning Environments in Universities: A Systematic Review","authors":"Wagino Wagino, H. Maksum, W. Purwanto, K. Krismadinata, S. Suhendar, Rahmat Desman Koto","doi":"10.18421/tem123-60","DOIUrl":"https://doi.org/10.18421/tem123-60","url":null,"abstract":"This systematic review examines the challenges and potential solutions to improve the implementation of collaborative learning and e-learning environments in universities. The article analyzes 200 relevant articles published between 2014-2022 using a qualitative approach to identify themes and sub-themes related to collaborative learning and e-learning environments. The study reveals various learning methods employed, including MOOC (Massive Open Online Course), digital mind maps, and tripartite learning, but also highlights challenges such as lack of digital infrastructure, low-quality internet networks, and inadequate practical tools. The research emphasizes the need for effective leadership and management in vocational institutions and recommends further research on curriculum development, learning evaluation methods, lecturer performance assessment, and improving digital infrastructure and educator training. Collaboration with industry and other training institutions is also suggested to improve students' employability and entrepreneurship skills.","PeriodicalId":45439,"journal":{"name":"TEM Journal-Technology Education Management Informatics","volume":null,"pages":null},"PeriodicalIF":0.7,"publicationDate":"2023-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42105392","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Liquid Characterization of 2 GHz Complimentary Split Ring Resonator (CSRR) for Water Quality Applications 用于水质应用的2GHz互补分裂环谐振器（CSRR）的液体特性

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TEM Journal-Technology Education Management Informatics Pub Date : 2023-08-28 DOI: 10.18421/tem123-20

M. F. Sapuri, Mohd Khairil Adzhar Mahmood, N. E. Abd Rashid, N. Zakaria, S. A. E. Ab Rahim, Z. I. Khan

{"title":"Liquid Characterization of 2 GHz Complimentary Split Ring Resonator (CSRR) for Water Quality Applications","authors":"M. F. Sapuri, Mohd Khairil Adzhar Mahmood, N. E. Abd Rashid, N. Zakaria, S. A. E. Ab Rahim, Z. I. Khan","doi":"10.18421/tem123-20","DOIUrl":"https://doi.org/10.18421/tem123-20","url":null,"abstract":"This study describes a complementary split-ring resonator (CSRR)-based planar microwave sensor. Its capability in detecting several samples which are based on the usual water contaminant in Malaysia was investigated. The CSRR sensor was designed with an unloaded resonant frequency of 2.0 GHz, and it was fabricated on an FR-4 substrate with a thickness of 1.6 mm and a dielectric constant of 4.3. The S-parameter responses of the sensor were measured under two conditions; i) unloaded and ii) loaded. For the latter, samples of tap water, salt water, isopropyl alcohol, filtered water and cooking oil were used to load the resonant element of the CSRR. The measurement result of unloaded CSRR shows that the designed sensor resonates at 1.99 GHz, which is in line with the simulation. The measurement results also showed that the presence of all samples caused the resonant frequency of the CSRR to shift, with filtered water and cooking oil showing the biggest frequency shifts (0.84 GHz and 0.96 GHz, respectively). A sensitivity analysis of the CSRR was carried out and it shows that it achieves 0.25% sensitivity. The proposed sensor may be a useful substitute for pricey commercial sensors for applications involving water quality because of the inexpensive materials and ease of fabrication.","PeriodicalId":45439,"journal":{"name":"TEM Journal-Technology Education Management Informatics","volume":null,"pages":null},"PeriodicalIF":0.7,"publicationDate":"2023-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45393115","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Developing Air Traffic Control Simulator for Laboratory 研制实验室空中交通管制模拟器

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TEM Journal-Technology Education Management Informatics Pub Date : 2023-08-28 DOI: 10.18421/tem123-26

Dimas Arya Soeadyfa Fridyatama, S. Suparji, M. Sumbawati

引用次数: 0

The Role of Cloud Computing on Accounting Information System Quality:A Study in Hotel Industry 云计算对会计信息系统质量的影响——以酒店业为例

IF 0.7

TEM Journal-Technology Education Management Informatics Pub Date : 2023-08-28 DOI: 10.18421/tem123-72

D. Syah, I. Muda, Prihatin Lumbanraja, Azizul Kholis

{"title":"The Role of Cloud Computing on Accounting Information System Quality:A Study in Hotel Industry","authors":"D. Syah, I. Muda, Prihatin Lumbanraja, Azizul Kholis","doi":"10.18421/tem123-72","DOIUrl":"https://doi.org/10.18421/tem123-72","url":null,"abstract":"The hotel industry is a significant sector for Indonesian economic growth. Nowadays, cloud computing is bringing much potential for hotels to increase their competitive advantage, specifically in facilitating Information Systems (IS). However, we found still limited study that investigates cloud-based IS in accounting functions. Therefore, this study aims to analyze 1) the impact of the human aspect in determining cloud performance, 2) the impact of cloud performance on the relative advantage and compatibility of cloud-based Accounting Information Systems (AIS) in the hotel industry, and 3) the impact of its relative advantage and compatibility on cloud-based AIS quality. Using purposive sampling, the data was collected from accounting and/or information manager hotels in North Sumatra, Indonesia. The collected data were analyzed using variance-based Structural Equation Modeling (SEM). We found that human, cloud performance, and technology adaptability are the critical antecedents of cloud-based AIS quality in the hotel industry. Hotel leaders should consider user computer-self efficacy and cloud-AIS alignment design while developing and integrating cloud-based AIS into their general system.","PeriodicalId":45439,"journal":{"name":"TEM Journal-Technology Education Management Informatics","volume":null,"pages":null},"PeriodicalIF":0.7,"publicationDate":"2023-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42969262","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Android-Based Application for Real-Time Indonesian Sign Language Recognition Using Convolutional Neural Network 基于Android的卷积神经网络印尼手语实时识别应用

IF 0.7

TEM Journal-Technology Education Management Informatics Pub Date : 2023-08-28 DOI: 10.18421/tem123-35

Raymond Sutjiadi

{"title":"Android-Based Application for Real-Time Indonesian Sign Language Recognition Using Convolutional Neural Network","authors":"Raymond Sutjiadi","doi":"10.18421/tem123-35","DOIUrl":"https://doi.org/10.18421/tem123-35","url":null,"abstract":"Individuals with hearing or speech impairments face challenges in communicating with others, requiring special techniques to express their thoughts and feelings. Sign language is an alternative way to communicate using a specific pattern of hand gestures to deliver messages instead of verbal speaking (oral communication). Unfortunately, most people do not know how to use and read sign language. Because of its complexity and many types of sign language worldwide, only well-trained personnel could use it as a communication medium. This research provides a solution in the form of a machine-learning Android-based application designed to recognize sign language captured by a smartphone camera and translate it into Latin characters. The recognition accommodates Convolutional Neural Network (CNN), one of the popular deep learning algorithms. This application recognizes 26 characters of Indonesian Sign Language (Bahasa Isyarat Indonesia/BISINDO) alphabets using MobileNetV3 architecture. To build the data model, dataset images were collected from 5 different models demonstrating 26 BISINDO characters in various lighting, background, and hand gesture position. These dataset images were also generated using image augmentation process to achieve the randomness by adjusting the image rotation, noise, and brightness. Based on the testing result using 6,240 dataset images, the application has 75.38% accuracy in recognizing Indonesian Sign Language alphabets.","PeriodicalId":45439,"journal":{"name":"TEM Journal-Technology Education Management Informatics","volume":null,"pages":null},"PeriodicalIF":0.7,"publicationDate":"2023-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46651233","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

ESG Performance and Disclosure: National Composite Indicators for Monitoring Sustainable Growth Conditions in the EU-27 ESG绩效和披露：监测欧盟27国可持续增长状况的国家综合指标

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TEM Journal-Technology Education Management Informatics Pub Date : 2023-08-28 DOI: 10.18421/tem123-68

Petra Jílková, Jana Kotěšovcová

引用次数: 0

Acoustic Vehicle Classification Using Mel-Frequency Features with Long Short-Term Memory Neural Networks 基于Mel频率特征的长短期记忆神经网络声学车辆分类

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TEM Journal-Technology Education Management Informatics Pub Date : 2023-08-28 DOI: 10.18421/tem123-29

Ahmad Ihsan Yassin, K. K. Mohd Shariff, Mustapha Awang Kechik, A. Ali, Megat Syahirul Megat Amin

引用次数: 1

Using a Convolutional Neural Network for Machine Written Character Recognition 使用卷积神经网络进行机器文字识别

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TEM Journal-Technology Education Management Informatics Pub Date : 2023-08-28 DOI: 10.18421/tem123-03

Ladislav Karrach, E. Pivarčiová

引用次数: 0