THE 2ND INTERNATIONAL CONFERENCE OF SCIENCE AND INFORMATION TECHNOLOGY IN SMART ADMINISTRATION (ICSINTESA 2021)最新文献

英文中文

The role of silica in improving the properties of kenaf/silica/epoxy hybrid composites 二氧化硅在改善红麻/二氧化硅/环氧复合材料性能中的作用

THE 2ND INTERNATIONAL CONFERENCE OF SCIENCE AND INFORMATION TECHNOLOGY IN SMART ADMINISTRATION (ICSINTESA 2021)

Pub Date : 1900-01-01 DOI: 10.1063/5.0104978

H. Sosiati, Febri Firmansyah, M. Rahman

引用次数: 1

A simulation study of the airflow distribution in the high-cube refrigerated container 高立方冷藏箱内气流分布的模拟研究

THE 2ND INTERNATIONAL CONFERENCE OF SCIENCE AND INFORMATION TECHNOLOGY IN SMART ADMINISTRATION (ICSINTESA 2021)

Pub Date : 1900-01-01 DOI: 10.1063/5.0104916

M. A. Budiyanto, Nadhilah Suheriyanto

引用次数: 0

Utilization of social media application in regency SMEs performance 社交媒体应用对中小企业绩效的影响

THE 2ND INTERNATIONAL CONFERENCE OF SCIENCE AND INFORMATION TECHNOLOGY IN SMART ADMINISTRATION (ICSINTESA 2021)

Pub Date : 1900-01-01 DOI: 10.1063/5.0106938

I. Armawan, H. Pratikto, Sopiah, Sudarmiatin

The decline in public buying interest has an impact on all business sectors in Indonesia, including MSMEs. During the Covid19 pandemic, Regency MSMEs still use conventional systems, so new breakthroughs are needed to increase turnover and unlimited marketing so that MSMEs can survive and advance. Digital marketing activities are promotions and market searches through online digital media, one of which is social networking facilities. The purpose of this research is to broaden the knowledge and skills of digital marketing, especially social media, in micro, small and medium enterprises (MSMEs) to increase sales turnover. Participants are MSME Regency Balikpapan city;the method used in this activity explains digital marketing materials, share experiences and discussions, and the implementation of social media applications. This study indicates that the use of social media that is often used is Facebook in displaying business profiles by 56.25% and WhatsApp (WA) by 50%, Instagram (IG) by 18.75% and others by 25 % for product promotion. Based on the research results on the use of applications in pandemic that is ride 12,5%, Permanent 37,5% and doen 50%. MSME actors have not maximally used social networks, especially YouTube, to promote their products. © 2022 Author(s).

公众购买兴趣的下降对印度尼西亚的所有商业部门都产生了影响，包括中小微企业。在2019冠状病毒病大流行期间，丽晶中小微企业仍然使用传统系统，因此需要新的突破来增加营业额和无限营销，使中小微企业能够生存和发展。数字营销活动是通过在线数字媒体进行促销和市场搜索，其中一种是社交网络设施。本研究的目的是拓宽数字营销的知识和技能，特别是社交媒体，在微型，中小型企业(MSMEs)，以增加销售营业额。参与者是巴厘巴板市的中小微企业，活动中使用的方法是解释数字营销材料，分享经验和讨论，以及社交媒体应用的实施。这项研究表明，经常使用的社交媒体是Facebook，用于展示业务资料占56.25%，WhatsApp (WA)占50%，Instagram (IG)占18.75%，其他用于产品推广占25%。基于应用程序在大流行中的使用的研究结果，分别为12.5%、37.5%和12.50%。中小微企业演员没有最大限度地利用社交网络，尤其是YouTube来推广他们的产品。©2022作者。

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引用次数: 1

Analysis of government regulations sentiment regarding the Eid al-Fitr homecoming during Covid-19 pandemic in Indonesia using Twitter and Instagram data 利用Twitter和Instagram数据分析印尼Covid-19大流行期间政府对开斋节返家的监管情绪

THE 2ND INTERNATIONAL CONFERENCE OF SCIENCE AND INFORMATION TECHNOLOGY IN SMART ADMINISTRATION (ICSINTESA 2021)

Pub Date : 1900-01-01 DOI: 10.1063/5.0107439

Tubagus Ahmad Marzuqi, Evelline Kristiani, I. Budi, A. Santoso, P. K. Putra

The Covid-19 pandemic has resulted in an often uncertain situation. On this basis, the government has implemented a ban on going home for the second time in 2021 to prevent a potential increase in Covid-19 cases. This rule raises pros and cons in society. Twitter and Instagram as social media platforms then became a means to voice reactions to the regulation, as well as opinions and criticisms The goal of this study is to find out how people feel about the situation the "Prohibition of Homecoming in 2021". The data mining approach is used in this study to classify public sentiments conveyed not only through the Twitter platform but also Instagram. The Naive Bayes and Decision Tree algorithms were used to create the classification model. On Twitter data 87.93% F1 score and 92.63% F1 Score on Instagram data. This study shows, the majority of people have negative sentiments about the "Prohibition of Homecoming in 2021"both on Twitter and Instagram platforms. © 2022 Author(s).

2019冠状病毒病大流行导致了一种往往不确定的局面。在此基础上，政府为防止新冠肺炎病例增加，在2021年实施了第二次禁止回国措施。这条规则在社会上引起了赞成和反对。Twitter和Instagram作为社交媒体平台，随后成为表达对该规定的反应，以及意见和批评的手段。本研究的目的是了解人们对“2021年禁止返乡”的情况的感受。本研究使用数据挖掘方法对通过Twitter平台和Instagram传达的公众情绪进行分类。采用朴素贝叶斯和决策树算法建立分类模型。在Twitter数据上F1得分87.93%，在Instagram数据上F1得分92.63%。这项研究显示，在推特和Instagram平台上，大多数人对“2021年禁止返乡”持负面情绪。©2022作者。

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引用次数: 0

Estimation of performance in counter cross-flow heat exchanger 反流式热交换器的性能评价

THE 2ND INTERNATIONAL CONFERENCE OF SCIENCE AND INFORMATION TECHNOLOGY IN SMART ADMINISTRATION (ICSINTESA 2021)

Pub Date : 1900-01-01 DOI: 10.1063/5.0105078

Karthik Silaipillayarputhur, Abdulaziz Elsinawi, Tawfiq Al Mughanam, Abdullah Al Thayf

引用次数: 0

Arabic pronunciation system based on padding pre-processing and deep learning techniques

THE 2ND INTERNATIONAL CONFERENCE OF SCIENCE AND INFORMATION TECHNOLOGY IN SMART ADMINISTRATION (ICSINTESA 2021)

Pub Date : 1900-01-01 DOI: 10.1063/5.0105052

Asroni, Mukhtar Hanafi, Cahya Damarjati, Priyangga Zulfajri, Dias Wirahastra Biwada, K. Ku-Mahamud

Problems in learning due to the Covid-19 pandemic have occurred in several activities e.g. teaching in Taman Pendidikan Al-Qur'an (TPA). In carrying out its activities, TPA relies heavily on the teacher to make a learning pattern on how to pronounce the Arabic alphabet of 28 letters adequately. It requires a unique approach due to the various types of sound pronunciation in reading the Qur'an. In view of health protocol rules by the World Health Organization, face-to-face meetings are replaced with online sessions, thereby affecting the learning quality. To solve this problem, a system has been developed which consists of a deep learning model. Voice data were collected for TPA students and preprocessed before the voice data were used to develop the deep learning model. Four techniques were tested to identify the best technique for pre-processing the voice data. The techniques were Spectrogram, Padding, Mel-Spectrogram, and Mel-Frequency Cepstral Coefficient techniques. The pre-processing process is to prepare the training and testing data for the deep learning stage. Test questions were later appeared with an application designed with Tkinter to lay out the exam questions. Once the user pronounced a letter, the voice is recorded and pre-processed to be predicted with a deep learning model. The quality and similarity of pronunciation of the letter is validated an Arabic speech grading algorithm. Results showed that the used of Padding technique in the pre-processing stage provides the best classification accuracy for the Arabic letter pronunciation. © 2022 American Institute of Physics Inc.. All rights reserved.

由于Covid-19大流行，在一些活动中出现了学习问题，例如在Taman Pendidikan al - quuran (TPA)的教学。在开展活动的过程中，TPA很大程度上依赖于教师制定一种学习模式，即如何充分地发音阿拉伯字母的28个字母。由于诵读《古兰经》时有不同类型的读音，因此需要一种独特的方法。鉴于世界卫生组织的卫生议定书规则，面对面会议被在线会议取代，从而影响了学习质量。为了解决这个问题，我们开发了一个由深度学习模型组成的系统。收集TPA学生的语音数据并进行预处理，然后将语音数据用于开发深度学习模型。对四种技术进行了测试，以确定语音数据预处理的最佳技术。技术包括谱图技术、填充技术、梅尔谱图技术和梅尔频率倒谱系数技术。预处理过程是为深度学习阶段准备训练和测试数据。后来出现了一个由Tkinter设计的应用程序来列出考试问题。一旦用户念出一个字母，语音就会被记录下来，并经过预处理，用深度学习模型进行预测。用阿拉伯语语音分级算法对字母的发音质量和相似度进行了验证。结果表明，在预处理阶段使用填充技术对阿拉伯字母发音的分类精度最高。©2022美国物理学会。版权所有。

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引用次数: 0

Prevent underload and maximize PV power in the Diesel-PV-Battery hybrid system due to minimum diesel generation 在柴油-光伏-电池混合系统中，由于柴油发电量最小，防止负荷不足，并最大限度地提高光伏功率

THE 2ND INTERNATIONAL CONFERENCE OF SCIENCE AND INFORMATION TECHNOLOGY IN SMART ADMINISTRATION (ICSINTESA 2021)

Pub Date : 1900-01-01 DOI: 10.1063/5.0105130

Tegar Aji Nugroho, D. Riawan, Soedibyo, Avian Lukman Setya Budi

引用次数: 0

Classification of points and types of disruptions for efficiency of standard operating procedures repair of distribution network suppliers 为提高配电网供应商的标准操作程序维修效率，对故障点和类型进行分类

THE 2ND INTERNATIONAL CONFERENCE OF SCIENCE AND INFORMATION TECHNOLOGY IN SMART ADMINISTRATION (ICSINTESA 2021)

Pub Date : 1900-01-01 DOI: 10.1063/5.0104937

Y. Asri, Dwina Kuswardani, Widya Nita Suliyanti, Chrystyna Monica Tambunan

引用次数: 1

Drugs clustering based on their compositions using Word2Vec and K-means clustering 使用Word2Vec和K-means聚类对药物成分进行聚类

THE 2ND INTERNATIONAL CONFERENCE OF SCIENCE AND INFORMATION TECHNOLOGY IN SMART ADMINISTRATION (ICSINTESA 2021)

Pub Date : 1900-01-01 DOI: 10.1063/5.0104981

Rahmat Hidayat, Nur Aini Rakhmawati

引用次数: 0

Classification of house buildings based on land size using the K-nearest neighbor algorithm 基于土地大小的住宅建筑分类的k近邻算法

THE 2ND INTERNATIONAL CONFERENCE OF SCIENCE AND INFORMATION TECHNOLOGY IN SMART ADMINISTRATION (ICSINTESA 2021)

Pub Date : 1900-01-01 DOI: 10.1063/5.0104960

Melani Novitasari, Yaddarabullah, S. Permana, Erneza Dewi Krishnasari

引用次数: 0

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