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Application of Deep Learning Using Convolutional Neural Network (CNN) Method For Women’s Skin Classification 卷积神经网络(CNN)深度学习方法在女性皮肤分类中的应用
Pub Date : 2021-05-10 DOI: 10.15294/SJI.V8I1.26888
A. Anton, Novia Farhan Nissa, Angelia Janiati, Nilam Cahya, P. Astuti
Facial skin is skin that protects the inside of the face such as the eyes, nose, mouth, and others. Facial skin consists of several types, including normal skin, oily skin, dry skin, and combination skin. This is a problem for women because it is difficult to recognize and distinguish their skin types this is what causes some women to find it difficult to determine the right make-up and care products for their skin types. In this study, the Convolutional Neural Network (CNN) method is the right method for classifying women's skin types from the age of 20-30 years by following several stages using Python 3.5 programming with a depth of three layers and the results of this research using the CNN method get the results of the accuracy value good at 67%
面部皮肤是保护面部内部的皮肤,如眼睛、鼻子、嘴巴和其他部位。面部皮肤由几种类型组成,包括正常皮肤、油性皮肤、干性皮肤和混合性皮肤。这对女性来说是一个问题,因为很难识别和区分自己的皮肤类型——这就是为什么一些女性很难确定适合自己皮肤类型的化妆品和护理产品。在本研究中,卷积神经网络(CNN)方法是使用深度为三层的Python 3.5程序分几个阶段对20-30岁女性皮肤类型进行分类的正确方法,使用CNN方法进行的研究结果的准确度值良好,达到67%
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引用次数: 23
Prediction of COVID-19 Using Recurrent Neural Network Model 基于递归神经网络模型的COVID-19预测
Pub Date : 2021-05-10 DOI: 10.15294/sji.v8i1.30070
A. Alamsyah, B. Prasetiyo, M. Hakim, F. D. Pradana
The COVID-19 case that infected humans was first discovered in China at the end of 2019. Since then, COVID-19 has spread to almost all countries in the world. To overcome this problem, it takes a quick effort to identify humans infected with COVID-19 more quickly. One of the alternative diagnoses for potential COVID-19 disease is Recurrent Neural Network (RNN). In this paper, RNN is implemented using the Elman network and applied to the COVID-19 dataset from Kaggle. The dataset consists of 70% training data and 30% test data. The learning parameters used were the maximum epoch, learning late, and hidden nodes. The research results show the percentage of accuracy is 88.
2019年底,中国首次发现感染人类的新冠肺炎病例。从那时起,新冠肺炎几乎蔓延到世界上所有国家。为了克服这个问题,需要迅速努力更快地识别感染新冠肺炎的人类。复发神经网络(RNN)是潜在新冠肺炎疾病的替代诊断之一。在本文中,RNN使用Elman网络实现,并应用于Kaggle的新冠肺炎数据集。数据集由70%的训练数据和30%的测试数据组成。使用的学习参数是最大历元、学习后期和隐藏节点。研究结果表明,准确率为88。
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引用次数: 6
Interactive M-Learning Design Innovation using Android-Based Adobe Flash at WFH (Work From Home) 在WFH使用基于Android的Adobe Flash进行交互式M-Learning设计创新(在家工作)
Pub Date : 2021-05-10 DOI: 10.15294/sji.v8i1.27880
Apriade Voutama, I. Maulana, Nofri ade, Adhi Rizal
Work From Home (WFH) is an activity that is carried out at home with the flexibility to work both place and time with the help of telecommunications technology. The birth of WFH was caused by the impact of the Covid-19 pandemic, which forced all activities in various fields, including government, business, trade, education, and so on, to be carried out online through the use of technology. One thing that is affected is in the field of education, the teaching and learning process must be carried out online. The problem that occurs is the unpreparedness of the infrastructure and resources in the smooth running of the distance learning process. One of the steps to provide convenience in the distance learning process is to innovate in the field of technology by creating an Android-based M-Learning application with an interactive concept so that it not only provides simple learning but is also designed attractively and interactively so that student participants can interact directly with this M-Learning application. Interactive M-Learning applications are designed with UML (Unified Modeling Language) modeling and translated into applications using Adobe Flash and then implemented on Android mobile devices.­
在家工作(WFH)是一种在家进行的活动,借助电信技术,可以灵活地在地点和时间工作。WFH的诞生是由新冠肺炎大流行的影响引起的,这迫使政府、商业、贸易、教育等各个领域的所有活动都通过使用技术在网上进行。受影响的一件事是,在教育领域,教学和学习过程必须在网上进行。出现的问题是远程学习过程顺利运行的基础设施和资源缺乏准备。在远程学习过程中提供便利的步骤之一是在技术领域进行创新,创建一个具有交互式概念的基于Android的M-learning应用程序,使其不仅提供简单的学习,而且设计具有吸引力和交互式,使学生参与者可以直接与该M-learning程序交互。交互式M-学习应用程序是用UML(统一建模语言)建模设计的,并使用Adobe Flash翻译成应用程序,然后在Android移动设备上实现。­
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引用次数: 7
Immutability of Distributed Hash Model on Blockchain Node Storage 区块链节点存储上分布式哈希模型的不变性
Pub Date : 2021-05-10 DOI: 10.15294/SJI.V8I1.29444
U. Rahardja, A. Hidayanto, Ninda Lutfiani, Dyah Ayu Febiani, Q. Aini
The blockchain system uses hash functions. Hash is used in the blockchain to mark each block of data. Hash function algorithms map a string that is usually hexadecimal of any size to a sequence of fixed-size bits. This journal will discuss the distributed hash model for immutable blockchain node storageThe methodology used in the preparation of this research is mind mapping and literature review, namely the collection of scientific journals, articles and ebooks. Storage of nodes on the blockchain using a distributed hash model. The distributed hash model only stores a portion of the block data at each node, and the block data is taken as a resource. A hash connects each block with the previous on the blockchain, so the entire blockchain transaction cannot be changed or deleted. For further research will expand the research topic regarding storage immutability on the blockchain so that it becomes more complete and detailed.
区块链系统使用哈希函数。区块链中使用哈希来标记每个数据块。哈希函数算法将任意长度的十六进制字符串映射为固定长度的位序列。本期刊将讨论不可变区块链节点存储的分布式哈希模型。本研究的准备方法是思维导图和文献综述,即收集科学期刊,文章和电子书。存储节点在区块链上使用分布式哈希模型。分布式哈希模型在每个节点上只存储区块数据的一部分,区块数据被视为资源。哈希将区块链上的每个块与前一个块连接起来,因此整个区块链事务不能被更改或删除。为了进一步的研究,将扩展区块链上存储不变性的研究课题,使其更加完整和详细。
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引用次数: 20
Analysis of Quality of Service on Internet Networks Using the Burst Method 基于突发方法的Internet网络服务质量分析
Pub Date : 2021-05-10 DOI: 10.15294/SJI.V8I1.29781
Muhammad Fariz, R. Arifudin
The purpose of this research is to make comparisons on the internet network using the application of the Burst method and processed with Quality of Service analysis in which there are parameters of throughput, delay, and jitter. This analysis was carried out because there was a problem with a slow internet network. This happens because there is no configured bandwidth management on the Microtic router and also the unequal distribution of bandwidth when more and more bandwidth users. Burst is one of the bandwidth management methods available on the Microtic router. This study focuses on the implementation of Burst which is applied to one client2 and will be compared with client1 without the application of Burst. Quality of Service analysis is performed to test the parameters of throughput, delay, and jitter on each of the internet networks. After this test is complete, it shows that the results of using the Burst method as a bandwidth regulator, internet network access can be controlled and each client gets the bandwidth evenly as needed. The work result using Burst is more optimal than performance without using Burst. By using Burst the number of packets lost and failed transactions is reduced by more than 70%.
本研究的目的是使用突发方法在互联网上进行比较,并用服务质量分析进行处理,其中包括吞吐量、延迟和抖动参数。之所以进行此分析,是因为网络速度较慢。之所以会发生这种情况,是因为Microtic路由器上没有配置带宽管理,而且当越来越多的带宽用户时,带宽分配也不均衡。Burst是Microtic路由器上可用的带宽管理方法之一。本研究的重点是应用于一个客户端2的Burst的实现,并将其与没有应用Burst的客户端1进行比较。执行服务质量分析以测试每个互联网网络上的吞吐量、延迟和抖动参数。测试完成后,结果表明,使用Burst方法作为带宽调节器,可以控制互联网网络访问,每个客户端都可以根据需要均匀地获得带宽。使用突发的工作结果比不使用突发的性能更优化。通过使用Burst,丢失和失败事务的数据包数量减少了70%以上。
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引用次数: 0
Deep Learning-based Mobile Tourism Recommender System 基于深度学习的移动旅游推荐系统
Pub Date : 2021-05-10 DOI: 10.15294/SJI.V8I1.29262
Dhomas Hatta Fudholi, Septia Rani, Dimas Arifin, Mochamad Rezky Satyatama
A tourism recommendation system is a crucial solution to help tourists discover more diverse tourism destinations. A content-based approach in a recommender system can be an effective way of recommending items because it looks at the user's preference histories. For a cold-start problem in the tourism domain, where rating data or past access may not be found, we can treat the user's past-travel-photos as the histories data. Besides, the use of photos as an input makes the user experience seamless and more effortless. The current development in Artificial Intelligence-based services enable the possibilities to implement such experience. This research developed a Deep Learning-based mobile tourism recommender system that gives recommendations on local tourism destinations based on the user's favorite traveling photos. To provide a recommendation, we use cosine similarity to measure the similarity score between one's pictures and tourism destination's galleries through their label tag vectors. The label tag is inferred using an image classifier model that runs from a mobile user device through Tensorflow Lite. There are 40 label tags, which refer to local tourism destination categories, activities, and objects. The model is trained using state-of-the-art mobile deep learning architecture EfficientNet-Lite. We did several experiments and got an accuracy result of more than 85% on average, using EfficientNet-Lite as the base architecture. The implementation of the system as an Android application has been proved to give an excellent recommendation with Mean Absolute Percentage Error (MAPE) equals to 5%.
旅游推荐系统是帮助游客发现更多不同旅游目的地的关键解决方案。推荐系统中基于内容的方法是一种有效的推荐方式,因为它会查看用户的偏好历史。对于旅游领域的冷启动问题,其中可能找不到评级数据或过去访问,我们可以将用户的过去旅行照片作为历史数据。此外,使用照片作为输入,使用户体验无缝,更加轻松。目前基于人工智能的服务的发展使实现这种体验成为可能。本研究开发了一个基于深度学习的移动旅游推荐系统,该系统可以根据用户最喜欢的旅游照片推荐当地的旅游目的地。为了提供推荐,我们使用余弦相似度来衡量一个人的照片和旅游目的地的画廊之间的相似度得分,通过他们的标签标签向量。标签标签是使用从移动用户设备通过Tensorflow Lite运行的图像分类器模型推断出来的。有40个标签标签,这些标签是指当地旅游目的地的类别、活动和对象。该模型使用最先进的移动深度学习架构EfficientNet-Lite进行训练。我们做了几次实验,得到了平均准确率超过85%的结果,使用effentnet - lite作为基本架构。该系统作为Android应用程序的实现已被证明提供了一个很好的推荐,平均绝对百分比误差(MAPE)等于5%。
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引用次数: 5
Implementing Geo Positioning System for Children Tracking Location Monitoring based on Android 基于Android的儿童地理定位跟踪定位系统的实现
Pub Date : 2021-05-10 DOI: 10.15294/SJI.V8I1.27436
Marti Widya Sari, Banu Santoso, Mohamed Azman
Parents' concerns in terms of monitoring the presence and monitoring of children's activities become one of the problems that are often faced. Training children to prepare themselves to face this sometimes dangerous world, first develop a sense of security in themselves. The objectives of this research are to generate a system or application to track the whereabouts of children through smartphones that can be used by both parents of the child and to design devices that can be used practically and children can be traced to the presence of wireless media by their parents. Improved supervision of children is needed without reducing the freedom of children to learn and explore their environment. One alternative that allows tracking the presence, location, and accuracy is quite good is to use a Geo Positioning System (GPS). This GPS is packaged in a flexible form so that it can help make it easier for parents to supervise their children in the range of areas that are still accessible to them and find the child's position when separated from their parents. The system can send the location information of children who are lost or lost on smartphone applications used by parents. 
父母在监督儿童活动的存在和监督方面的担忧成为经常面临的问题之一。训练孩子们为面对这个有时危险的世界做好准备,首先要培养自己的安全感。这项研究的目的是生成一个系统或应用程序,通过孩子父母都可以使用的智能手机来跟踪孩子的行踪,并设计出可以实际使用的设备,让孩子可以追踪到父母是否存在无线媒体。在不减少儿童学习和探索环境的自由的情况下,需要加强对儿童的监督。一种允许跟踪存在、位置和精度的替代方案是使用地理定位系统(GPS)。这种GPS以灵活的形式包装,有助于父母更容易在他们仍然可以进入的区域内监督孩子,并在与父母分离时找到孩子的位置。该系统可以在家长使用的智能手机应用程序上发送走失儿童的位置信息。
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引用次数: 2
Assess of Forensic Tools on Android Based Facebook Lite with the NIST Method 使用NIST方法评估基于Android的Facebook Lite的取证工具
Pub Date : 2021-05-10 DOI: 10.15294/SJI.V8I1.26744
Rauhulloh Noor Bintang, R. Umar, A. Yudhana
The increase in social media use of Facebook lite by using Android-based smartphones is quite high. Activities when communicating through the social media network Facebook Lite Facebook lite can send a text message, image, or Video. Not a few users of Facebook lite social media abusing this app to commit fraud crimes, pornographic acts, or defamation actions from social media users Facebook lite. In such cases, it can be a digital forensic benchmark to get results from digital evidence from the Facebook lite application. In this investigation, National Institute of Standards and Technology NIST research methods with various stages, namely Collection, Examination, Analysis, and Reporting. While the forensic tools to be used are Magnet Axiom Forensic and MOBILedit Forensic Express Pro. Comparison and results of data conducted with forensic tools Magnet Axiom Forensic and MOBILedit Forensic Express Pro in the form of parameter data specified. Axiom Forensic Magnet data is 57.14% while MOBILedit Forensic Express Pro data is 85.71%. This data is the data of the performance results of both forensic tool applications in obtaining digital evidence on Facebook lite application.
通过使用基于android的智能手机,Facebook lite社交媒体使用量的增长相当高。通过社交媒体网络Facebook Lite进行交流时的活动Facebook Lite可以发送文本信息、图像或视频。不少Facebook生活社交媒体用户滥用这款应用进行欺诈犯罪、色情行为或Facebook生活社交媒体用户的诽谤行为。在这种情况下,它可以作为一个数字取证基准,从Facebook lite应用程序的数字证据中获得结果。在本次调查中,美国国家标准与技术研究院采用了不同的研究阶段,即收集、检查、分析和报告。而要使用的法医工具是Magnet Axiom forensic和MOBILedit forensic Express Pro。使用Magnet Axiom forensic和MOBILedit forensic Express Pro以指定参数数据的形式进行数据比较和结果。Axiom Forensic Magnet数据为57.14%,MOBILedit Forensic Express Pro数据为85.71%。该数据是两种取证工具应用程序在Facebook lite应用程序上获取数字证据的性能结果数据。
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引用次数: 0
A Comprehensive Survey On Cloud Computing Simulators 云计算模拟器综合调查
Pub Date : 2021-05-10 DOI: 10.15294/SJI.V8I1.28878
Oladosu Oyebisi Oladimeji, Dasola Oyeyiola, O. Oladimeji, P. Oyeyiola
Cloud Computing is one of the upcoming technologies which has gotten the attention of many researchers and investor. But cloud computing still faces challenges because it is not economical and impractical for research institutions and industries to set up a physical cloud for research and experiments on it (cloud computing). Due to this, the researchers have chosen to test their contributions with simulators. Therefore, the purpose of this study is to perform a survey on existing cloud simulators. These cloud simulators aid in modeling cloud application through the creation of virtual machine, data Centre, and other thing which can be easily added and configured to it in order to provide stress free analysis. Till this present time, many cloud simulators with various features have been proposed and available for use. In this paper a comprehensive study has been performed on major cloud simulators by highlighting their features, strength and weakness through analysis. After which comparative analysis was done on the simulation, from the study, none of the simulators have the feature to simulate mobile cloud computing issues. This study has not been published anywhere else.
云计算是新兴技术之一,受到了众多研究人员和投资者的关注。但云计算仍然面临挑战,因为研究机构和行业在其上建立一个物理云进行研究和实验(云计算)是不经济和不切实际的。因此,研究人员选择用模拟器来测试他们的贡献。因此,本研究的目的是对现有的云模拟器进行调查。这些云模拟器通过创建虚拟机、数据中心和其他可以轻松添加和配置的东西来帮助云应用程序建模,从而提供无压力分析。到目前为止,已经提出了许多具有各种功能的云模拟器并可供使用。本文对主要的云模拟器进行了全面的研究,通过分析,突出了它们的特点和优缺点。之后对仿真进行了对比分析,从研究来看,所有的模拟器都不具备模拟移动云计算问题的功能。这项研究尚未在其他地方发表。
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引用次数: 3
Usability Evaluation of Lecturer Information Systems Using Sirius Framework and Moscow Technique 基于Sirius框架和Moscow技术的讲师信息系统可用性评估
Pub Date : 2021-05-10 DOI: 10.15294/SJI.V8I1.27126
I. P. Ramayasa, I. G. A. Candrawibawa
An example of application technology in university is developing an information system so that it can support performance and facilitate the information flow. Institute of Technology and Business (ITB) STIKOM Bali is a technology-based university that has an information system, one of which is the Lecturer Information System (SID) considering the role of Lecturers as the main actors in the world of university. SID was developed to facilitate and streamline the work of lecturers. The implementation of SID should be usefull to institutions so that the resources spent on building this system are not wasted. However, until now there has never been an evaluation of the usability of SID, causing the relevant stakeholders not to know the usefulness of the system and not knowing the improvements that need to be made to the SID system. Based on these problems, an evaluation of the SID ITB STIKOM Bali usability was carried out using the Sirius framework and the Moscow technique. The results of the research are the global usability value for SID based on ten aspects of the Sirius framework usability and recommendations for improving the SID STIKOM Bali system based on the Moscow Technique ranking. This research is expected to be a reference material for stakeholders in determining policies related to improving the SID system at ITB STIKOM Bali. The research method used in this research is literature study and observation, SID system analysis, distribustion and processing questionnaire data, data analysis and drawing conclusions
大学应用技术的一个例子是开发一个信息系统,以支持性能并促进信息流。巴厘岛科技与商业学院(ITB)是一所以科技为基础的大学,拥有一个信息系统,其中之一是讲师信息系统(SID),考虑到讲师是大学世界中的主要参与者。SID的制定是为了促进和简化讲师的工作。SID的实施应该对各机构有用,这样用于构建该系统的资源就不会浪费。然而,到目前为止,从未对SID的可用性进行过评估,导致相关利益相关者不知道该系统的有用性,也不知道需要对SID系统进行改进。基于这些问题,使用Sirius框架和Moscow技术对SID ITB STIKOM Bali的可用性进行了评估。研究结果是基于Sirius框架可用性的十个方面的SID的全球可用性价值,以及基于莫斯科技术排名的改进SID STIKOM Bali系统的建议。这项研究有望成为利益相关者在确定与改善巴厘岛ITBTSTIKOM SID系统相关的政策时的参考材料。本研究采用文献研究与观察、SID系统分析、问卷数据的分发与处理、数据分析与得出结论等研究方法
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引用次数: 2
期刊
Scientific Journal of Informatics
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