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A Coarse-to-Fine Text Matching Framework for Customer Service Question Answering 面向客户服务问答的粗到精文本匹配框架
Pub Date : 2022-01-01 DOI: 10.1007/978-3-031-23585-6_4
Ang Li, Xingwei Liang, Miao Zhang, Bin Wang, Guanrong Chen, Jun Gao, Qihui Lin, Ruifeng Xu
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引用次数: 0
Variant Mixed Integer Linear Programming Model for Merchandises Optimization in Fast-Moving Consumer Goods Industry 快速消费品行业商品优化的变混合整数线性规划模型
Pub Date : 2022-01-01 DOI: 10.1007/978-3-031-23585-6_6
Y. He, Huiqin Zeng, Lu Peng, Yishuang Ning
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引用次数: 0
A Scheduled Mask Method for TextVQA TextVQA的调度掩码方法
Pub Date : 2022-01-01 DOI: 10.1007/978-3-031-23585-6_3
Mingjie Han, Ting Jin, Wancong Lin
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引用次数: 0
Automated Data Mapping Based on FastText and LSTM for Business Systems 基于FastText和LSTM的业务系统自动数据映射
Pub Date : 2022-01-01 DOI: 10.1007/978-3-031-23585-6_7
Zhibin Liu, Huijun Hu
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引用次数: 0
Analisis Aplikasi DAPODIK SD Versi 2022.a Dengan Menggunakan Metode Usability Testing 2022年版本DAPODIK SD应用分析。使用安全测试方法
Pub Date : 2021-12-08 DOI: 10.54895/intech.v2i2.1172
Destiarini Destiarini
Perkembangan teknologi saat ini begitu pesatnya. Semua kegiatan pada dunia pendidikan telah teraplkasi baik itu sistem pembelajaan maupn pelaporan. Aplikasi Data Pokok Pendidikan atau Dapodik adalah Sistem pendataan skala Nasional yang terpadu, dan merupakan sumber data utama Pendidikan Nasional, yang merupakan bagian dari Program perancanaan pendidikan nasional dalam mewujudkan insan Indonesia yang Cerdas dan Kompetitif. Keberadaan Aplikasi Dapodik SD Versi 2022.a dalam pendataan di sekolah mulai dari data periodik sekolah, keadaan sarana dan prasarana, Pendidik dan Tenaga Kependidikan, Peserta Didik, Rombongan belajar, Jadwal, dan penilaian siswa. Sehingga dengan adanya aplikasi Dapodik SD Versi 2022.a ini merupakan jantung sekolah yang menentukan pencairan Dana BOS, Sertifikasi Guru, Peserta Ujian, dan menghadirkan informasi tentang info Guru dan Tenaga Kependidikan. Penelitian ini bertujuan untuk memberikan informasi yang lengkap mengenai kelebihan dan kekurangan dari aplikasi Dapodik SD Versi 2022.a, sehingga aplikasi ini benar-benar sempurna. Adapun metode yang digunakan untuk menganalisa aplikasi Dapodik ini dengan mengguakan metode usability testing, dimana indikator pada metode ini seperti: learnabilty, memorability, effeciency, errors, dan satisacton. Dalam pengambilan sampel, peneliti menggunakan guru dan operator sekolah dengan wawancara dan tebar kuisioner. Hasil akhir dari analisa ini dapat disimpulkan Aplikasi Dapodik SD versi 2022.a belum bisa memberikan layanan secara otomatis untuk kenaikan pangkat bagi guru yang berstatus PNS.
目前的技术发展非常迅速。教育领域的所有活动都有助于塑造这一智能学习系统。基础教育或Dapodik数据应用是一个统一的国家评分系统,是国家教育的主要数据来源,是完善印尼智能、有竞争力的国家培训计划的一部分。2022版Dapodik SD应用程序的存在。从学校的周期性数据、基础设施、教育工作者和教育工作者、学习者、学习者、学习小组、时间表和评估开始,学校记录中的a。2022年版的Dapodik SD应用也是如此。这是学校的核心,决定了老板的资金分配、教师证书、参与者的考试,并提供有关教师信息和教育工作者的信息。本研究旨在提供2022年版Dapodik SD应用程序的完整信息。a,所以这个应用是绝对完美的。至于分析这款Dapodik应用程序的方法,它的指标包括学习先知、记忆能力、效率、errors和saticton。在抽样过程中,研究人员使用学校教师和经营者进行访谈和问卷调查。分析的最终结果可以总结2022年版本的Dapodik SD应用。a还不能自动为有公务员身份的教师提供晋升服务。
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引用次数: 0
Sistem Informasi Sekolah Pada SMK Kader Pembangunan
Pub Date : 2021-12-08 DOI: 10.54895/intech.v2i2.1173
Joko Kuswanto, Mohamad Ilham Maulidan, Jovanca Esha Nandini, Muhammad Ikhsan Abdi Rabani, Putu Agus Indra Yoga, M. Syaputra
Speaking more about school information systems, today there are many computer applications that are devoted to the creation of applications, for example Mirosoft Access, Borland Delphi, and Visual Basic or web-based. But, in fact in SMK Kader Pembangunan Baturaja school data processing has not used computer-based application programs. This research aims to create a school information system in SMK Kader Pembangunan. The research method used is by waterfall method. This system is expected to facilitate and speed up the process of collecting, processing, and managing data or information, and support the implementation of teaching and learning in schools.
说到学校信息系统,今天有许多计算机应用程序致力于创建应用程序,例如microsoft Access, Borland Delphi和Visual Basic或基于web的。但是,实际上在SMK Kader Pembangunan Baturaja学校的数据处理并没有使用基于计算机的应用程序。本研究旨在建立SMK Kader Pembangunan的学校资讯系统。研究方法采用瀑布法。该系统有望促进和加快数据或信息的收集、处理和管理过程,并支持学校教与学的实施。
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引用次数: 0
MEDIA PEMBELAJARAN BERBASIS ANDROID PADA MATA KULIAH PERIPHERAL DAN TROEBLESHOOT 以ANDROID为基础的外设和TROEBLESHOOT学习媒体
Pub Date : 2021-12-06 DOI: 10.54895/intech.v2i2.1167
J. Wijaya, Yamanto Isa, Meliana Sari
Penelitian ini bertujuan untuk mengembangkan Media Pembelajaran Berbasis Android  pada mata kuliah Peripheral and Troebleshoot. Jenis penelitian yang digunakan adalah penelitian Research and Development (R&D). Metode yang digunakan adalah metode prosedural dengan teknik pengumpulan data berupa angket. Dari hasil expert review, ahli media memberikan nilai 87% dengan kategori “Baik Sekali”. Ahli desain memberikan nilai 78% dengan kategori “Baik”. Dan ahli materi memberikan nilai 76% dengan kategori “Baik”. Pada uji coba produk skala perorangan dengan objek penelitian 3 orang responden yaitu mahasiswa semester II kelas A.2.1 pada mata kuliah Peripheral and Troubleshoot diperoleh nilai 89,75% dengan kategori “Baik Sekali”. Uji coba kelompok kecil dengan objek penelitian 6 orang responden yaitu mahasiswa semester II kelas A.2.1 pada mata kuliah Peripheral and Troubleshoot memperoleh nilai 86,40% dengan kategori “Sangat Baik”. Kemudian dilakukan uji coba skala besar dengan objek penelitian 23 orang sebagai responden yaitu mahasiswa semester II kelas A.2.2 pada mata kuliah Peripheral and Troubleshoot memperoleh nilai 80,16% dengan kategori “Baik”. Data hasil penelitian dianalisis dengan menggunakan rumus persentase. Hasil perolehan data uji coba produk menunjukkan tingkat kelayakan produk dalam kriteria “Baik”.
本研究旨在发展以Android为基础的学习媒介,学习环境环境教学。用于研究与发展研究(R&D)。采用的方法是处理数据收集技术。根据检讨,媒体专家将87%的分数归为“干得好”。设计专家给出了78%的“好”类别。材料专家给了它76%的“好”类别。在一项由三名受访者进行的研究对象的个人规模产品试验中,第二学期A.2.1班的学生在外围领域获得了89.75%的“好”类别。该小组测试对象为6名受访者进行了测试,他们是第二学期a.2.1班的学生,在外围领域和技术障碍教学中成绩为86.40%,属于“优秀”类别。然后进行了一次大规模的测试,对象为23人的研究对象进行了测试,对象是第二学期a.2.2班的学生,他们的外围学科和问题分数为80.16%,属于“好”类别。研究结果的数据是用百分比公式分析的。产品测试数据的结果显示,产品在“好”标准下的可行性水平。
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引用次数: 0
MULTIMEDIA BERBASIS ANDROID DENGAN APP INVENTOR PADA MATA KULIAH BAHASA PEMROGRAMAN 多媒体的ANDROID基础应用程序编辑的语言编程课程
Pub Date : 2021-12-06 DOI: 10.54895/intech.v2i2.1168
Yelmi Yunarti Yunarti, Ayu Purnama, Muhammad Nang Al Kodri
Penelitian ini bertujuan untuk mengembangkan media pembelajaran berbasis android dengan menggunakan App Inventor pada mata kuliah bahasa pemrograman. Jenis penelitian yang digunakan penelitian research and development (R&D). Model yang digunakan model prosedural dengan teknik pengumpulan data berupa angket. Data hasil penelitian dianalisis  dengan menggunakan rumus persentase, dari hasil uji coba ahli media memberikan nilai 86%, dengan predikat “baik sekali”. Ahli desain meberikan nilai 79,30% dengan predikat “baik”. ahli materi meberikan nilai 81,90% dengan predikat “baik”. Pada uji coba produk per orangan (one to one) dengan objek 3 orang mahasiswa diperoleh nilai 92,97% dengan predikat “baik sekali”. Pada uji coba kelompok kecil (small group) dengan objek 6 orang mahasiswa diperoleh nilai 86,37%  dengan predikat “ baik sekali”. Uji coba lapangan (field test) dengan objek 15 orang mahasiswa diperoleh nilai 81,51% dengan predikat “baik”. hasil uji coba produk menunjukkan tingkat kelayakan produk dengan kriteria baik dan layak digunakan pada mata kuliah bahasa pemrograman.
本研究的目标是利用应用程序员语言专业的应用程序构建以android为基础的学习媒体。研究与发展研究(R&D)使用的研究类型。这是一个用于数据收集技术的程序模型。研究数据是用几位媒体专家给出的百分比公式对研究数据进行分析的,分数是86%,“非常好”。设计家给了我79.30%的“好”称号。物质专家给出了81.90%的“好”评语。在测试对象3名学生获得92.97%的“优秀”成绩。在测试对象6名学生的小组中,他们通过“优秀”的评语获得了86.37%的分数。现场测试15名学生通过“好”评语获得了81.51%的分数。产品测试结果显示,该产品在编程语言课程中使用良好和可行的标准。
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引用次数: 0
Systematic Literature Review: Permasalahan Ransomware pada Aplikasi Berbasis Cloud 系统文献综述:Permasalahan勒索软件和applkasi Berbasis Cloud
Pub Date : 2021-12-05 DOI: 10.54895/intech.v2i2.877
Z. Rimbarawa, E. Kholisoh, Zahwa Putri Rahmayani
Ransomware has created questions on the security aspects of a cloud architcture, especially with cloud services being adopted by more enterprises. Ransomware encrypts data and makes it inaccessible. Victims are given instructions to pay the attacker a fee in exchange for having their data accessible again. Ransomware has organizations and is increasingly targeting applications running on databases. To prevent this problem, this study uses the Systematic Literature Review method to provide information about ransomware problems in cloud-based applications, as well as ransomware prevention in cloud-based applications and its challenges including the differences in effectiveness for each type of ransomware and the strategies that do not apply to server-side attacks. The research review shows that backup and recovery is a key defense strategy against ransomware. Ransomware protection, applications, and databases require the right strategy, including reliable recovery. This research is useful to ensure that the cloud-based is protected from ransomware attacks.
勒索软件对云架构的安全性提出了质疑,尤其是随着越来越多的企业采用云服务。勒索软件对数据进行加密,使其无法访问。受害者被指示向攻击者支付费用,以换取再次访问他们的数据。勒索软件有组织,并且越来越多地针对运行在数据库上的应用程序。为了防止这一问题,本研究使用系统文献综述方法来提供有关基于云的应用程序中的勒索软件问题的信息,以及基于云的应用程序中的勒索软件预防及其挑战,包括每种类型的勒索软件的有效性差异以及不适用于服务器端攻击的策略。研究表明,备份和恢复是防御勒索软件的关键策略。勒索软件保护、应用程序和数据库需要正确的策略,包括可靠的恢复。这项研究有助于确保基于云的系统免受勒索软件的攻击。
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引用次数: 0
Pemanfaatan Big Data dalam Bisnis E-commerce OLX 在电子商务OLX业务中大量数据的利用
Pub Date : 2021-12-05 DOI: 10.54895/intech.v2i2.880
Citra Adinda Hartawan
Basically, the emergence of online sales sites is a positive impact on the development of information technology. Not a few online markets selling similar goods and services. However, there are many considerations between consumers in sorting and choosing what goods they will buy as well as the inventory of goods displayed on the online market. Every online marketplace must compete to increase its sales profit by researching the data entered on the account sites used by consumers. The type of research used is quantitative research. By utilizing advances in technology, the use of data mining is an efficient way to retrieve and collect the required data. Data mining, often also called knowledge discovery in database (KDD), is an activity that includes collecting, using historical data to find regularities, patterns, or relationships in large data sets. The output of this data mining can be used to improve decision-making in the future. So the term pattern recognition is now rarely used because it is part of data mining. Observations are carried out directly on the olx.co.id web by visiting the site, then documenting the site by printing a screen to be able to take pictures of the website display in other words we can compare one product with other products and see how many products there are. sold out. In this study, researchers also explain the flow of product orders using OLX e-commerce. E-commerce platforms also allow businesses to gather a wealth of statistics about how many customers come to their website, how they choose or compare alternatives, and what the logic is in each buying situation.
基本上,网上销售网站的出现对信息技术的发展产生了积极的影响。不少网上市场出售类似的商品和服务。然而,消费者在分类和选择他们将要购买的商品以及在线市场上显示的商品库存时,有许多考虑因素。每个在线市场都必须通过研究消费者使用的账户网站上输入的数据来竞争,以增加销售利润。所使用的研究类型是定量研究。通过利用先进的技术,使用数据挖掘是检索和收集所需数据的有效方法。数据挖掘,通常也称为数据库中的知识发现(KDD),是一种活动,包括收集和使用历史数据来发现大型数据集中的规律、模式或关系。该数据挖掘的输出可用于改进未来的决策。因此,模式识别这个术语现在很少被使用,因为它是数据挖掘的一部分。通过访问网站直接在olx.co.id网站上进行观察,然后通过打印屏幕记录网站,以便能够拍摄网站显示的照片,换句话说,我们可以将一种产品与其他产品进行比较,看看有多少产品。卖完了。在本研究中,研究者还利用OLX电子商务解释了产品订单的流程。电子商务平台还允许企业收集大量的统计数据,包括有多少客户访问他们的网站,他们如何选择或比较替代品,以及每次购买情况的逻辑是什么。
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引用次数: 3
期刊
Intech
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