Education 4.0: Online Learning Management Using Education Smart Courses

Mehta, Silpha; Magdalena, Lena

doi:10.34306/itsdi.v4i1.572

Cited by 8 publications

(2 citation statements)

References 15 publications

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“…By default, Mask R-CNN has backbones such as ResNet50, ResNet101, and ResNext101. The choice between these should be based on the trade-off between training time and accuracy [21]. In this study, we propose the architecture of the DenseNet network as a comparison because this architecture has the advantage of narrower network layers and fewer parameters.…”

Section: Mask R-cnn-dense Netmentioning

confidence: 99%

Detecting and Tracking Player in Football Videos Using Two-Stage Mask R-CNN Approach

Husein,

Chalvin,

Ciptady

et al. 2023

conferenceseries

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Football is one of the most popular sports worldwide and capable of attracting the attention of millions of fans to a single match in the top leagues. The English Premier League, Spanish LaLiga, German Bundesliga, Italian Serie A, and French Ligue 1 are the five best leagues in the world today. There was an experiment where researchers want to analyze the efficiency and accuracy percentage of tracking and detection using the deep learning method of the Mask R-CNN model in classifying positive and negative X-Ray images in football matches. In this study, we applied Mask R-CNN for the segmentation and detection of football players. This model was based on two different backbones, namely ResNet101 and DenseNet. Both backbones produced accuracy values that were not significantly different, but the DenseNet approach performed better than ResNet101 based on testing results in the validation and testing sets. Based on comprehensive experiment results on the dataset, it has been shown that the Mask R-CNN approach with DenseNet can achieve better results compared to Mask R-CNN with ResNet101. Due to insufficient understanding of the characteristics of image types and the uneven distribution of various types of data sourced from random videos, there was still room for improvement in the trained model.

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Section: Mask R-cnn-dense Netmentioning

confidence: 99%

Detecting and Tracking Player in Football Videos Using Two-Stage Mask R-CNN Approach

Husein,

Chalvin,

Ciptady

et al. 2023

conferenceseries

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“…Insurance companies should proactively address the turnover intention (KKL) of agents who are searching for better opportunities in other companies or non-related fields [31] [32]. An initial step in reducing turnover includes treating these agents as internal customers [33].…”

Section: Introductionmentioning

confidence: 99%

The Role of Internal Marketing in Building Organizational Commitment and Reducing Turnover Intention Affecting the Improved Performance of Life Insurance Agents in Indonesia

Ginting Munthe,

Susan,

Sulungbudi

2024

ATT

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This research endeavors to forecast the impact of internal marketing on cultivat- ing entrepreneurship spirit and organizational commitment (KO) and diminish- ing turnover intention (KKL), consequently bolstering the performance (KIN) of life insurance marketing agents in Indonesia. The innovative methodology involved the direct distribution of questionnaires to 382 life insurance agents on-site to gather data. Subsequently, data analysis was executed by structurally modeling equations with estimated data employing SEM AMOS. The findings unveiled that internal marketing significantly influences organizational commit- ment among agents. Moreover, the study sheds light on the pivotal role of in- ternal marketing strategies in mitigating turnover intentions, thereby fostering agent retention and business sustainability. By bolstering organizational com- mitment and reducing turnover intentions, life insurance companies can expect a consequential enhancement in the overall performance of their marketing agents. This research contributes to the existing body of knowledge by illuminating the mechanisms through which internal marketing can positively influence organi- zational outcomes in the context of the Indonesian life insurance sector, thus underlining its entrepreneurship impact

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Impact of ICT and Servant Leadership on Holistic Work Engagement in the Hotel Industry

Saputra,

Mastarida,

Ratnasari

et al. 2024

2024 3rd International Conference on Creative Communication and Innovative Technology (ICCIT)

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Education 4.0: Online Learning Management Using Education Smart Courses

Cited by 8 publications

References 15 publications

Detecting and Tracking Player in Football Videos Using Two-Stage Mask R-CNN Approach

Detecting and Tracking Player in Football Videos Using Two-Stage Mask R-CNN Approach

The Role of Internal Marketing in Building Organizational Commitment and Reducing Turnover Intention Affecting the Improved Performance of Life Insurance Agents in Indonesia

Impact of ICT and Servant Leadership on Holistic Work Engagement in the Hotel Industry

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