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2021 2nd International Conference on Innovative and Creative Information Technology (ICITech)最新文献

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Design Thinking and Emotional Intelligence in UI/UX Design of Website-Based Online Foreign Service Travel Expenses (BPDL) Applications 基于网站的在线外事差旅费(BPDL)应用程序UI/UX设计中的设计思维与情商
Pub Date : 2021-09-23 DOI: 10.1109/ICITech50181.2021.9590156
Wijayanti, Radius Tanone
UI/UX design in applications is very important because a good design can meet user needs and make users feel comfortable and understand the use of the application. An example is an online application for website-based Foreign Service Travel Expenses (BPDL). In making this application focused on potential users of this application, if the user cannot understand the application created, it will have an impact on the user and the system. Such as data entry errors in the service application process, wrong service timings, etc. The purpose of this UI/UX design is to overcome any problems that may arise. When implementing this design, the design thinking method used can influence the way decisions are made, generate new innovative ideas, and make it easier for users to use BPDL applications.
应用程序中的UI/UX设计是非常重要的,因为一个好的设计可以满足用户的需求,让用户感到舒适和理解应用程序的使用。一个例子是在线申请基于网站的外事差旅费(BPDL)。在使该应用程序集中于该应用程序的潜在用户时,如果用户不能理解所创建的应用程序,则会对用户和系统产生影响。例如服务应用程序过程中的数据输入错误、服务计时错误等。这种UI/UX设计的目的是克服可能出现的任何问题。在实现此设计时,所使用的设计思维方法可以影响决策的制定方式,产生新的创新想法,并使用户更容易使用BPDL应用程序。
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引用次数: 1
Smartphone Application As An Air Quality Monitor Using Raspberry Pi For Reducing Air Pollution 使用树莓派作为空气质量监测仪的智能手机应用程序,以减少空气污染
Pub Date : 2021-09-23 DOI: 10.1109/ICITech50181.2021.9590187
Pandapotan Siagian, Erick Fernando
Good air quality is very important in human health. However, air pollution has been polluted everywhere, whether in the house, in cities. This is caused by a growing industry that produces air pollution. Room air pollution and various cities will contribute to air pollution, which will cause problems for human health. This work measures the carbon monoxide level using the MQ-7 sensor and measures the air's carbon dioxide level with the CCS811 sensor and MH-Z19 sensor. All three sensors are connected to the NodeMCU ESPS266, and we call it a NodeMCU module. Tests are carried out in three rooms in the house, and then three NodeMCU modules are used so that the three modules will send data alternately. Raspberry Pi3 (RPi3) functions as a server that collects data and acquires information data from sensors. Data from the CCS811 (TCOV) sensor, MH-Z19 (co2), will be processed first with fuzzy logic rules to make decisions about CO2, which are right, moderate, nasty conditions. The process is carried out on the Raspberry Pi 3 server with MQTT using publication, customer, fuzzy logic, and broker services. The value of the sensor's measurement results can be accessed via a smartphone and provides good air control values.
良好的空气质量对人体健康非常重要。然而,空气污染已经无处不在,无论是在家里,在城市。这是由于不断增长的工业造成的空气污染。室内空气污染和各个城市都会造成空气污染,这将对人体健康造成问题。这项工作使用MQ-7传感器测量一氧化碳水平,并使用CCS811传感器和MH-Z19传感器测量空气中的二氧化碳水平。所有三个传感器都连接到NodeMCU ESPS266,我们称之为NodeMCU模块。在房子的三个房间进行测试,然后使用三个NodeMCU模块,以便三个模块交替发送数据。RPi3 (Raspberry Pi3)作为服务器,负责采集数据,从传感器获取信息数据。来自CCS811 (TCOV)传感器MH-Z19 (co2)的数据将首先用模糊逻辑规则进行处理,以做出关于co2的决策,这是正确的,适度的,恶劣的条件。该过程在带有MQTT的Raspberry Pi 3服务器上执行,使用发布、客户、模糊逻辑和代理服务。传感器的测量结果值可以通过智能手机访问,并提供良好的空气控制值。
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引用次数: 2
Wi-Fi Enabled Asset Surveillance System using Internet of Things 使用物联网的Wi-Fi资产监控系统
Pub Date : 2021-09-23 DOI: 10.1109/ICITech50181.2021.9590129
Achmad Kathri Sansyah, Stephany Octaviani Ngesthi, Bernadus Sandy Pratama Putra Ardany, Gunawan Dewantoro
Asset management is one of the most significant concerns in companies for controlling their moveable assets. However, most companies still deal with this in an inefficient way, such as manual recording or on-the-spot inspection, which is prone to human errors. This study proposes an assets surveillance system which is able to identify the assets movement statuses using a Wi-Fi network. A Wemos transmitter is mounted on each asset to be monitored and connected to the receiver through Wi-Fi signal. These tools are also connected to the internet via website to do real-time monitoring in client-side. The received signal strength indicator (RSSI) of Wi-Fi signal is measured and translated to distance information. Whenever the transmitter is out of the Wi-Fi range, a notification will pop up with ringing sound on website as it indicates that the asset is moved to another place. All activities are recorded automatically in the history. The results show that the website and notification system run properly. The maximum distances for the Wemos to detect is 12 meters, and the detection is performed at the average of 8.09 seconds. This system can be applied in companies to provide a secure, effective, and accurate way, comparing to the past manual asset management.
资产管理是企业控制其流动资产最重要的问题之一。然而,大多数公司仍然以低效率的方式处理这些问题,例如人工记录或现场检查,这很容易出现人为错误。本研究提出了一种资产监控系统,该系统能够使用Wi-Fi网络识别资产的移动状态。weemos发射器安装在每个待监控资产上,并通过Wi-Fi信号与接收器连接。这些工具还通过网站连接到互联网,在客户端进行实时监控。测量Wi-Fi信号的接收信号强度指标(RSSI)并将其转换为距离信息。每当发射器不在Wi-Fi范围内时,网站上会弹出铃声通知,表示资产被转移到另一个地方。所有活动都自动记录在历史记录中。结果表明,网站和通知系统运行正常。Wemos的最大探测距离为12米,平均探测时间为8.09秒。该系统可以应用于企业,相对于以往的手工资产管理,提供了一种安全、有效、准确的方式。
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引用次数: 0
Quality Evaluation in Disaster Mitigation Information System using Webqual 4.0 Method 基于webqual4.0方法的减灾信息系统质量评价
Pub Date : 2021-09-23 DOI: 10.1109/ICITech50181.2021.9590176
K. Hartomo, M. R. Ramadhan
This study aimed to measure the quality of the Disaster Mitigation Information System (Sikabi) belonging to the Regional Disaster Management Authority of Boyolali Regency. Quality tests are carried out to determine the quality and functionality of the system that functions optimally and can display accurate, easily accessible, and useful information for disaster mitigation in the region. The results of the study are useful for providing feedback to information system developers regarding the quality of the website usability aspect, the quality of the information presented, and the quality of the interactions provided as well as the user satisfaction at accessing the Disaster Information System website. This study uses the Webqual 4.0 method which has 4 assessment variables, namely in terms of usability (information quality), interaction service (interaction quality), and user satisfaction while accessing the website (overall impression). From the research results, the information quality variable has a sig value. 0, 000 <0, 05 which indicates that there is an influence of information quality on user satisfaction in using the Sikabi website. Therefore, we recommend improving the quality of the information displayed on the Sikabi website page.
本研究旨在评估博约拉利县地区灾害管理局的减灾信息系统(Sikabi)的质量。进行了质量测试,以确定系统的质量和功能是否发挥最佳作用,并能够显示准确、易于获取和有用的信息,以促进该区域的减灾工作。研究结果有助于为资讯系统开发人员提供有关网站可用性质量、提供的信息质量、提供的交互质量以及访问灾难信息系统网站的用户满意度的反馈。本研究采用Webqual 4.0方法,该方法有4个评估变量,分别是可用性(信息质量)、交互服务(交互质量)和用户访问网站时的满意度(整体印象)。从研究结果来看,信息质量变量具有sig值。0 000 < 0.05,表明信息质量对西卡比网站用户满意度有影响。因此,我们建议提高在Sikabi网站页面上显示的信息的质量。
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引用次数: 1
[Copyright notice] (版权)
Pub Date : 2021-09-23 DOI: 10.1109/icitech50181.2021.9590152
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引用次数: 0
Integration of Flask and Python on The Face Recognition Based Attendance System 基于人脸识别的考勤系统中Flask和Python的集成
Pub Date : 2021-09-23 DOI: 10.1109/ICITech50181.2021.9590122
Claudia Audia Trianti, Budhi Kristianto, Hendry
Back-end is a complex system that involves various of technologies while front-end much simpler that presents back-end's processed data. Generally., front-end system uses web technology that enables user to access using web browser any where and any time as long as connected to the server. This research integrates back-end system using Python-based artificial intelligence and web based front-end as an integrated student's attendance system using face recognition technology. Since Python doesn't natively run on the web., then an integration of PHP and Flask is used to run the system and make them available on the web. In addition to present detailed integration of front-end and back-end of the developed system., performance test also be presented as well. It found 3.92 second of response time., 46.8% of CPU Usage., and 3.4 Byte of RAM Usage to process the given job.
后端是一个涉及各种技术的复杂系统,而前端则简单得多,它表示后端处理过的数据。一般。前端系统采用web技术,用户只要连接到服务器,就可以随时随地使用web浏览器进行访问。本研究将基于python的人工智能后端系统和基于web的前端系统集成为一个基于人脸识别技术的综合学生考勤系统。因为Python不能在web上本地运行。,然后使用PHP和Flask的集成来运行系统,并使其在web上可用。此外,还详细介绍了所开发系统的前端和后端集成。,并进行了性能测试。它找到了3.92秒的响应时间。, 46.8%的CPU使用率。,并使用3.4字节的RAM来处理给定的作业。
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引用次数: 3
Bibliometric Analysis of Technology Blockchain with IoT in Vehicle 汽车物联网技术区块链的文献计量学分析
Pub Date : 2021-09-23 DOI: 10.1109/ICITech50181.2021.9590162
Meyliana, Erick Fernando, Surjandy, H. A. Widjaja, Arifa Tan
This research focuses exclusively on analyzing articles related to innovation in blockchain technology with IoT in vehicles and automotive. This study has the main objective of identifying and analyzing the literature on this topic scientifically in the past, present, and future. Bibliometric analysis approach using publish and perish software and VOS viewer. The bibliometric analysis used in this study to visualize topic areas, The number of keywords that appear frequently, the number of publications per year between 2016 – 2020, the most published papers on the topic of blockchain with IoT in automotive, the most frequent trends, and words topics. In conclusion, Blockchain with IoT in vehicles and automotive makes a recently developed topic and currently has great relevance for practitioners and academics. However, the interpretation of the results presented and discussed above has several limitations to address. First, this research is based on samples of articles published in journals and conferences indexed by Scopus. Second, the resulting keywords include blockchain, Internet of things, Internet of vehicle, smart contract, security, privacy. Third, the publication of scientific articles related to this research topic from 2016 has 20 articles, 2017 does not exist, 2018 has 6 articles, 2019 has 34 articles, 2020 has 36 articles, and 2021 has 1 article. Therefore, the topics used to allow us to have an evident view of the trends in the discussion can generate ideas and knowledge for future research.
本研究专注于分析与区块链技术创新与车辆和汽车物联网相关的文章。本研究的主要目的是科学地识别和分析过去、现在和未来关于这一主题的文献。采用出版与消亡软件和VOS查看器进行文献计量学分析。本研究中使用的文献计量分析用于可视化主题领域,频繁出现的关键词数量,2016年至2020年期间每年的出版物数量,关于汽车区块链与物联网主题的最多发表的论文,最常见的趋势和单词主题。总之,区块链与车辆和汽车中的物联网是一个最近发展起来的话题,目前对从业者和学者都有很大的相关性。然而,对上述提出和讨论的结果的解释有几个局限性需要解决。首先,本研究基于Scopus索引的期刊和会议上发表的文章样本。其次,由此产生的关键词包括区块链、物联网、车联网、智能合约、安全、隐私。第三,与本研究课题相关的科学论文发表从2016年有20篇,2017年没有,2018年有6篇,2019年有34篇,2020年有36篇,2021年有1篇。因此,用来让我们对讨论的趋势有一个明显的看法的主题可以为未来的研究产生想法和知识。
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引用次数: 0
Simple Distribution of Sensitive Values for Multiple Sensitive Attributes in Privacy Preserving Data Publishing to Achieve Anatomy 隐私保护数据发布中多敏感属性敏感值的简单分布实现解剖
Pub Date : 2021-09-23 DOI: 10.1109/ICITech50181.2021.9590159
Widodo, Murien Nugraheni, Irma Permata Sari
In anonymizing data, k-anonymity is a pioneer model and become popular. However, it still a drawback in information loss when the sensitive values are not distributed evenly. This study aims to distribute evenly sensitive values in microdata with multiple sensitive attributes by extending simple distribution of sensitive values (SDSV) method to anatomy. Previously, this method works well when it is conducted in k-anonymity. This method is used with a little modification in last step by exchange randomly record if privacy level is not satisfied and this method is run in anatomy. The result shows that in anatomy SDSV has better performance than systematic clustering as a base line. SDSV has diversity value 1.02 and systematic clustering has 0.33. From information loss aspect in anatomy model the result also shows that SDSV outperforms systematic clustering.
在数据匿名化中,k-匿名是一种先锋模式,并逐渐流行起来。但是,当敏感值分布不均匀时,仍然存在信息丢失的缺点。本研究旨在将敏感值简单分布(SDSV)方法扩展到解剖学中,在具有多个敏感属性的微数据中均匀分布敏感值。以前,这种方法在k-匿名进行时效果很好。该方法在最后一步稍作修改,在不满足隐私级别时交换随机记录,并在解剖学中运行。结果表明,在解剖学上,SDSV作为基线比系统聚类具有更好的性能。SDSV的多样性值为1.02,系统聚类值为0.33。从解剖学模型的信息丢失方面来看,结果也表明SDSV优于系统聚类。
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引用次数: 1
Implementation of Pathfinding Algorithm in Sundanese Land History Educational Game 巽他地史教育游戏中寻路算法的实现
Pub Date : 2021-09-23 DOI: 10.1109/ICITech50181.2021.9590181
D. Kurniadi, Asri Mulvani, Rizky Safta Maolani
Sunda has a long history recorded in ancient manuscripts containing Carita Parahyangan written about the kingdom's story in java. Development of technology, made delivery of cultural and historical values can be conveyed through Games. Artificial Intelligence makes Non- Playable Character (NPC) move from one position to the target position in the Games application by applying the Pathfinding Algorithm. The application of Artificial Intelligence is to provide a realistic playing experience for users. This study aims to Apply the Pathfinding A * algorithm to games application History of Sundanese Land. With the construction of this game, it is hoped that it can become a medium for Sundanese history education for people. This game was built using the Digital Games Based Learning - Instructional Design methodology and tested using Black Box Testing and scenario testing against the Pathfinding A* Algorithm applied. The application of the A* pathfinding algorithm was successfully carried out on enemy NPCs indicated by the NPC can move to the player's character position through the fastest path. The game that was built gave a positive effect with a value of 9.08 through Game Experience Questionnaire.
巽他有很长的历史记录在古代手稿中,其中有Carita Parahyangan写的关于爪哇王国的故事。科技的发展,使得文化和历史价值的传递可以通过奥运会来传达。人工智能通过寻路算法使非可玩角色(NPC)在游戏应用程序中从一个位置移动到目标位置。人工智能的应用是为用户提供逼真的游戏体验。本研究旨在将寻径A *算法应用于Sundanese Land的游戏应用History。通过这款游戏的构建,希望它能成为人们进行巽他语历史教育的媒介。本游戏使用基于数字游戏的学习-教学设计方法构建,并使用黑盒测试和针对寻路A*算法的场景测试进行测试。A*寻径算法在敌方NPC上的应用成功,NPC可以通过最快的路径移动到玩家的角色位置。通过游戏体验问卷调查,所构建的游戏产生了9.08的积极影响。
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引用次数: 3
The Use of Text Mining to Investigate Undergraduate Research Topic Clusters from 2015 to 2019 2015 - 2019年大学生研究课题聚类的文本挖掘研究
Pub Date : 2021-09-23 DOI: 10.1109/ICITech50181.2021.9590142
Evangs Mailoa, Widya Damayanti, Nelfrits Christopher
This study investigated the clusters of research topics written by undergraduate students of Informatics Dept., Satya Wacana Christian University (SWCU) from 2015 to 2019 using text mining techniques. Eight hundred and twenty-seven (827) final year project (FYP) reports' abstracts were retrieved from the University Library database. Text-mining techniques were used for identifying topics of these reports, and developed a hierarchal connection among these topics. Student reports were grouped into two domains with four groups containing nine clusters based on abstracts analysis. The clusters obtained are web & mobile applications, desktop applications, network security, network infrastructure, random generators, implementation of web service-based cryptography, cryptography in institutions, general block chippers, and block chipper with pattern. Distributions of the research topics were discussed in relation to Friedman's tower of achievement, and its implications on the curriculum.
本研究利用文本挖掘技术对萨蒂亚瓦卡纳基督教大学信息学专业2015 - 2019年本科生撰写的研究课题簇进行了调查。从大学图书馆数据库中检索了827份(827份)最后一年项目(FYP)报告摘要。文本挖掘技术用于识别这些报告的主题,并在这些主题之间建立层次关系。在摘要分析的基础上,将学生报告分为两个领域,分为四组,共九组。获得的集群包括web和移动应用、桌面应用、网络安全、网络基础设施、随机生成器、基于web服务的密码学实现、机构密码学、通用块芯片、带模式的块芯片。研究课题的分布与弗里德曼的成就塔及其对课程的影响进行了讨论。
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引用次数: 0
期刊
2021 2nd International Conference on Innovative and Creative Information Technology (ICITech)
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