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Proceedings of the 4th International Conference on Vocational Education and Technology, IConVET 2021, 27 November 2021, Singaraja, Bali, Indonesia最新文献

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Simulation and Prototyping of a Two-Phase Inverter to Drive an Asymmetrical Single-Phase Induction Motor 非对称单相感应电机两相逆变器的仿真与原型设计
I. P. S. Arsa, I. W. Sutaya, I. G. Nurhayata, I. G. Ratnaya, I. G. S. Sudaryana
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引用次数: 0
"Emergency Course" During the Covid 19 Pandemic: How to Support Students' Competencies Development? Covid - 19大流行期间的“紧急课程”:如何支持学生的能力发展?
D. Adinda, Maria Denami
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引用次数: 0
Empowering Bali's Economy During the Covid-19 Pandemic: Developing MSME C2C E-commerce 在2019冠状病毒病大流行期间为巴厘岛经济赋权:发展中小微企业C2C电子商务
N. Saraswati, I. G. A. D. Indradewi
The sluggish tourism industry in Bali due to the Covid-19 pandemic has resulted in people being more creative in looking for alternative sources of the economy. Increasing the advancement of micro, small and medium enterprises (MSMEs) is one option that may be managed effectively. Being part of Bali Province, Bangli Regency has a significant number of MSMEs. The significant increase in e-commerce transactions during the outbreak indicates the potential for online product promotion. This is both an opportunity and a challenge for MSMEs to contribute to narrowing the marketing gap. However, due to the unique nature of manufacturing, such as items created to order, MSME, particularly in Bangli Regency, which is exceptional in its handicraft sector, has been unable to promote its products through current e-commerce platforms. This research aimed to develop an e-commerce system that is tailored to the demands of MSMEs in the Bangli Regency. The object of this research was the design of an e-commerce website that meets the needs of the research subject, namely MSMEs in the Bangli district. The created website was an e-commerce model with a C2C (consumer to consumer) classified model approach. The engagement of the Department of Industry and Trade of Bangli Regency in the implementation, especially authenticating sellers (MSMEs) who were included in the system, distinguished this system. This implementation had the potential to strengthen consumer trust. Based on black box testing, the developed application had fulfilled all the functional requirements specified.
由于新冠肺炎大流行,巴厘岛旅游业不景气,人们在寻找替代经济来源方面更具创造性。加强中小微企业的发展是一个可以得到有效管理的选择。作为巴厘省的一部分,邦利摄政拥有大量的中小微企业。疫情期间电子商务交易的显著增长表明了在线产品推广的潜力。这是中小微企业缩小营销差距的机遇和挑战。然而,由于制造业的独特性,例如按订单生产的物品,中小微企业,特别是在邦里丽晶的中小微企业,在其手工业领域非常出色,一直无法通过现有的电子商务平台推广其产品。本研究旨在开发一个适合邦里中小微企业需求的电子商务系统。本研究的对象是设计一个符合研究对象,即邦里地区中小微企业需求的电子商务网站。所创建的网站是一个采用C2C(消费者对消费者)分类模型方法的电子商务模型。邦里县工业贸易部参与了该系统的实施,特别是对纳入该系统的卖家(中小微企业)进行了认证,使该系统与众不同。这种做法有可能加强消费者的信任。基于黑盒测试,开发的应用程序已经满足了所有指定的功能需求。
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引用次数: 0
A Design of Patient Registration Apps using Flutter, Laravel and, Vue JS 使用Flutter, Laravel和Vue JS设计患者注册应用程序
K. A. Seputra, L. J. E. Dewi
The creation of mobile applications needs a more systematic and complicated technical methodology. Currently, Android and iOS are the two most popular smartphone platforms. As a result, presenting programs that can be utilized on both platforms is one of the priorities for developers. Furthermore, developers must keep in mind that not all target customers own and use smartphones. Consequently, the adoption of mobile applications to the market needs a website as a backup service and operational support for the mobile application. The development was carried out utilizing a full-stack development method with laravel, vue.js, and flutter, depending on the demands and considerations of the team's efficiency and cost. Combining these three frameworks has shown to be effective in developing SPA Websites and Mobile Apps for patient registration.
创建移动应用程序需要更系统和复杂的技术方法。目前,Android和iOS是两个最流行的智能手机平台。因此,呈现可以在两个平台上使用的程序是开发人员的优先事项之一。此外,开发者必须牢记,并非所有目标用户都拥有并使用智能手机。因此,移动应用程序进入市场需要一个网站作为备份服务和移动应用程序的操作支持。根据团队的需求和对效率和成本的考虑,使用laravel, vue.js和flutter的全栈开发方法进行开发。结合这三个框架已被证明在开发SPA网站和患者注册的移动应用程序方面是有效的。
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引用次数: 1
The Development of Brushless DC (BLDC) Motor as a Boost Converter on Solar Panel System 无刷直流(BLDC)电机作为太阳能电池板系统升压变换器的研制
I. G. Nurhayata, I. G. Ratnaya, I. P. S. Arsa
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引用次数: 0
An Analysis of the Teaching Ability of Dual Expertise Teachers in the Automotive Field to Improve Students' Capabilities 汽车专业双专业教师提高学生能力的教学能力分析
Gede Widayana, K. R. Dantes, I. G. Wiratmaja, N. Wigraha, Edi Elisa, Edy Agus Juny Artha
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引用次数: 0
The Development of Spa and Body Treatment Textbook 水疗和身体护理教材的开发
N. K. Widiartini, Ida Ayu Reviena Damasanthi
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引用次数: 0
Developing Digital Learning Media Based on Cognitive Style for Multimedia Technology in Practicum Learning 基于认知风格的多媒体技术在实践学习中的数字化学习媒体开发
I. N. E. Mertayasa, K. Agustini, I. G. B. Subawa
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引用次数: 0
Teachers’ Experiences of Implementing D-Learning 教师实施数字化学习的经验
N. D. Vega, Arifin Arifin
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引用次数: 2
Sentiment Summarization Learning Evaluation Using LSTM (Long Short Term Memory) Algorithm 基于LSTM(长短期记忆)算法的情感总结学习评价
Achmad Yogie Setiawan, I. G. M. Darmawiguna, G. Pradnyana
Lecturer learning evaluation is a text that contains student reviews related to lecturer learning performance. Learning evaluation is used as a lecturer's self-reflection material to improve the learning services provided in the next lesson. The evaluations are many in number, making it difficult for lecturers to analyze. Sentiment analysis techniques are needed to classify student evaluations. The evaluation that has been classified still leaves a long and convoluted text. Text summarization is one solution to summarize a long text into a dense and informative text. Text summarization is helpful to save time searching for the text's gist. There are two methods in text summarization, extractive and abstractive methods. This study applied an abstract method because the data used was an evaluation of lecturer learning whose reviews were written by students. The algorithm used for sentiment classification and text summarization used the Long Short Term Memory (LSTM) algorithm. The sentiment classification results were evaluated using a confusion matrix, namely testing the model with evaluation data. While the summary results were evaluated using ROUGE, which compared the summary results from the system with a manual summary by experts. In testing the confusion matrix system, the accuracy value was 0.902, and the f-measure value was 0.921. In the Recall-Oriented Understudy for Gisting Evaluation (ROGUE) test, the positive evaluation scored 0.16, and the negative evaluation scored 0.2. The developed tokenizer has not stored the tokens resulting from the training process. As a result, the prediction results when loading the model were not as good as when training was finished.
讲师学习评价是包含与讲师学习表现相关的学生评论的文本。学习评价是讲师自我反思的材料,以改善下一课提供的学习服务。评价的数量很多,讲师很难进行分析。需要情感分析技术对学生评价进行分类。已经分类的评估仍然留下了冗长而复杂的文本。文本摘要是一种将长文本总结为密集和信息丰富的文本的解决方案。文本摘要有助于节省查找文本主旨的时间。文本摘要有两种方法:抽取法和抽象法。本研究采用了一种抽象的方法,因为使用的数据是讲师学习的评价,其评论是由学生写的。用于情感分类和文本摘要的算法采用长短期记忆(LSTM)算法。使用混淆矩阵对情感分类结果进行评估,即用评估数据对模型进行测试。同时使用ROUGE对总结结果进行评估,它将来自系统的总结结果与专家的手动总结进行比较。在测试混淆矩阵系统时,准确度值为0.902,f测量值为0.921。在ROGUE测试中,正面评价得分为0.16分,负面评价得分为0.2分。开发的标记器没有存储训练过程产生的标记。因此,加载模型时的预测结果不如训练结束时的预测结果好。
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引用次数: 0
期刊
Proceedings of the 4th International Conference on Vocational Education and Technology, IConVET 2021, 27 November 2021, Singaraja, Bali, Indonesia
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