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Malicious URL Detection using Machine Learning 利用机器学习检测恶意 URL
Pub Date : 2024-01-31 DOI: 10.59890/ijist.v2i1.1289
Prenalee Nanaware
      One of the most prevalent and least protected security risks in existence today is fraudulent websites and URLs.We offer a method that both uses machine learning characteristics to identify phishing URLs and employs text processing techniques to evaluate text and identify incorrect remarks that are suggestive of phishing assaults.
我们提供的方法既能利用机器学习特征识别网络钓鱼 URL,又能利用文本处理技术评估文本并识别暗示网络钓鱼攻击的错误备注。
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引用次数: 0
Optimization of Tempe Fermentation With the Addition of a Combination of Yeast and Starch Flour: Effect on Process Speed and Product Freshness Period 添加酵母和淀粉粉组合的豆豉发酵优化:对加工速度和产品保鲜期的影响
Pub Date : 2024-01-31 DOI: 10.59890/ijist.v2i1.1263
Cicik Sudaryatiningsih, Yonathan Suryo Pambudi
This research explores the potential for adding a combination of tempeh yeast and starch to the tempeh fermentation process to speed up fermentation and extend the product's freshness period. Through an experimental approach, we investigated the effect of the proportion of yeast and starch on the fermentation speed and shelf life of tempeh. We found that a yeast to starch ratio of 1:2 significantly accelerated the fermentation process, while a ratio of 1:1 was effective in extending the shelf life of tempeh up to 80 hours. Organoleptic tests show positive consumer acceptance of the tempeh variations produced. This research makes a significant contribution to tempeh processing technology, offering practical solutions for the fermented food industry to improve the quality and attractiveness of tempeh products on the market.  
本研究探讨了在豆豉发酵过程中添加豆豉酵母和淀粉组合以加快发酵速度并延长产品保鲜期的可能性。通过实验方法,我们研究了酵母和淀粉的比例对豆豉发酵速度和保质期的影响。我们发现,酵母与淀粉的比例为 1:2 时,发酵过程明显加快,而比例为 1:1 时,豆豉的保质期可有效延长至 80 小时。感官测试表明,消费者对所生产的豆豉变体的接受程度良好。这项研究为豆豉加工技术做出了重大贡献,为发酵食品行业提供了切实可行的解决方案,以提高豆豉产品的质量和市场吸引力。
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引用次数: 0
A Proposed Healthcare Architecture using Cloud Computing in WSN Environment with a case study 在 WSN 环境中使用云计算的拟议医疗保健架构(附案例研究
Pub Date : 2024-01-31 DOI: 10.59890/ijist.v2i1.1288
Meenakshi Thalor, Yash Gharat
Internet of Things (IoT) considers a future that can connect something/someone/ any service with appropriate information communication technology that it brings innovation in the fields of home, smart home, medical system, article surveillance, and logistics. Because of this inclination, this paper develops a trailblazer: Internet of Things-aware, intelligent architecture, that can be used to monitor and track patients and other related computing devices personnel, and within hospitals premises. In line with the IoT vision, we propose IoT based healthcare architecture dependent on different but complementary technologies, especially the WSN, RFID, and smart mobile, all interacting via a Constrained Application Protocol (CoAP) over low-power wireless personal area network (6LoWPAN) framework. The framework possesses the capability to gather data instantaneously in natural status and in physical conditions of patients after which it gets processed for analysis, thereby providing services to the user. The proposed model also focuses on the security aspect in the network of the healthcare system. The security model proposes IoT based medical services which comprises three security services: protection, detection and reaction services
物联网(IoT)被认为是一个可以通过适当的信息通信技术连接某物/某人/任何服务的未来,它为家庭、智能家居、医疗系统、物品监控和物流等领域带来了创新。基于这种倾向,本文开发了一个开拓者:物联网感知智能架构,可用于监控和跟踪医院内的病人和其他相关计算设备。根据物联网愿景,我们提出了基于物联网的医疗保健架构,该架构依赖于不同但互补的技术,特别是 WSN、RFID 和智能移动设备,所有这些技术都通过低功耗无线个人区域网络(6LoWPAN)框架上的受限应用协议(CoAP)进行交互。该框架能够即时收集病人自然状态和物理条件下的数据,然后进行处理分析,从而为用户提供服务。建议的模型还侧重于医疗系统网络的安全方面。该安全模型提出了基于物联网的医疗服务,包括三种安全服务:保护服务、检测服务和反应服务。
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引用次数: 2
The Transformative Power of Information and Communication Technology in Empowering Women in Afghanistan 信息和通信技术在增强阿富汗妇女权能方面的变革力量
Pub Date : 2024-01-01 DOI: 10.59890/ijist.v1i6.1103
Musawer Hakimi, Ezatullah Ahmady, Abdul Wajd Fazil, Abdulkhaliq Qarizada
This study explores ICT's impact on women's empowerment in Afghanistan, aligning with global initiatives and SDGs. Using various statistical methods, it assesses digital platforms, literacy programs, and online courses. Findings show a consensus on ICT's positive influence on financial independence, economic empowerment, and health outcomes. A notable association is found between telemedicine, digital health, and improved women's health. Binomial tests indicate success in bridging the digital gender gap and enhancing awareness. Descriptive statistics reveal positive perceptions of social media, online communities, and digital advocacy in promoting gender equality. In conclusion, this research contributes to the discourse on ICT and women's empowerment, offering insights for policymakers. The study underscores ICT's transformative potential in addressing disparities and fostering positive societal changes in Afghanistan.
本研究根据全球倡议和可持续发展目标,探讨信息和通信技术对阿富汗妇女赋权的影响。研究采用各种统计方法,对数字平台、扫盲计划和在线课程进行了评估。研究结果表明,人们一致认为信息和通信技术对经济独立、经济赋权和健康成果具有积极影响。远程医疗、数字健康和妇女健康改善之间存在显著关联。二项式检验表明,在缩小数字性别差距和提高意识方面取得了成功。描述性统计显示,人们对社交媒体、在线社区和数字宣传在促进性别平等方面有着积极的看法。总之,本研究为有关信息与传播技术和妇女赋权的讨论做出了贡献,为政策制定者提供了真知灼见。这项研究强调了信息与传播技术在解决差距和促进阿富汗积极社会变革方面的变革潜力。
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引用次数: 0
Facial Recognition Attendance Monitoring System using Deep Learning Techniques 使用深度学习技术的人脸识别考勤监控系统
Pub Date : 2024-01-01 DOI: 10.59890/ijist.v1i6.685
M. A. Thalor, Omkar S. Gaikwad
The Facial Recognition Attendance Monitoring System employing Deep Learning Techniques represents a cutting-edge application of artificial intelligence in educational and corporate environments. The implementation of a Facial Recognition System can aid in identifying or verifying a person's identity from a digital image. Accurate attendance records are vital to classroom evaluation. However, manual attendance tracking can result in errors, missed students, or duplicate entries. The adoption of the Face Recognition-based attendance system could help eliminate these shortcomings. This innovative approach involves utilizing a camera to capture input images, detecting faces using algorithms such as Haarcascade, Eigen values, support vector machines, or the Fisher face algorithm, verifying the faces against a database of student profiles, and marking attendance in an Excel sheet. The use of OpenCV, an open-source computer vision library, ensures the efficient functioning of the system.
采用深度学习技术的面部识别考勤监控系统是人工智能在教育和企业环境中的尖端应用。人脸识别系统的实施有助于从数字图像中识别或验证一个人的身份。准确的出勤记录对课堂评估至关重要。然而,人工出勤跟踪可能会导致错误、遗漏学生或重复输入。采用基于人脸识别的考勤系统有助于消除这些缺陷。这种创新方法包括利用摄像头捕捉输入图像,使用哈卡斯卡特、特征值、支持向量机或费舍尔人脸算法等算法检测人脸,对照学生档案数据库验证人脸,并在 Excel 表中标注出勤情况。OpenCV 是一个开放源码的计算机视觉库,它的使用确保了系统的高效运行。
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引用次数: 0
Assessing the Contribution of Smes Towards the Industrial Development of Ogun State 评估中小企业对奥贡州工业发展的贡献
Pub Date : 2024-01-01 DOI: 10.59890/ijist.v1i6.778
Segun Kehinde, Chinonye Moses, Taiye Borishade, Oladele Kehinde, Busola Simon-ilogho, Nifemi Obembe, Kemi Kehinde
This study delves into the vital role played by Small and Medium-sized Enterprises (SMEs) in advancing the industrial development of Ogun State, Nigeria. SMEs are the backbone of the state's economic landscape, contributing significantly to employment, innovation, and economic growth. Through a comprehensive analysis of SMEs in various industries, this research evaluates their impact on industrial development. The assessment encompasses factors such as job creation, local value addition, and technology transfer, shedding light on the multifaceted contributions of SMEs. Additionally, the study explores the challenges faced by these enterprises and the potential for policy interventions to further enhance their role in industrial development. The findings of this research are invaluable for policymakers, business owners, and stakeholders aiming to bolster the industrial sector of Ogun State. By understanding the diverse ways in which SMEs contribute to industrial development, strategic decisions and policies can be formulated to foster sustainable growth and economic prosperity in the state.
本研究深入探讨了中小企业在推动尼日利亚奥贡州工业发展方面所发挥的重要作用。中小企业是该州经济的中坚力量,为就业、创新和经济增长做出了巨大贡献。本研究通过对各行业中小企业的全面分析,评估了它们对工业发展的影响。评估涵盖了创造就业、本地增值和技术转让等因素,揭示了中小企业的多方面贡献。此外,本研究还探讨了这些企业面临的挑战以及政策干预的潜力,以进一步加强它们在工业发展中的作用。这项研究的结果对于旨在促进奥贡州工业部门发展的政策制定者、企业主和利益相关者来说非常宝贵。通过了解中小企业促进工业发展的各种方式,可以制定战略决策和政策,促进该州的可持续增长和经济繁荣。
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引用次数: 0
Analysis of Factors That Influence the use of Accounting Information by MSMEs 影响中小微企业使用会计信息的因素分析
Pub Date : 2024-01-01 DOI: 10.59890/ijist.v1i6.1100
Rizqy Aiddha Yuniawati
          In general, the performance of small and medium enterprises (MSMEs) varies from year to year. The output growth rate of small and medium enterprises (MSMEs) changes every year. Financial management is one of the problems often faced by MSME. Although the impact of neglecting financial management may not be immediately visible, a potentially growing company can go bankrupt if it does not use proper accounting methods. There are several other challenges faced by MSMEs, such as a lack of accounting or bookkeeping knowledge, not having sufficient funds to hire an accountant or buy an accounting program that makes bookkeeping easier. It is hoped that this research can help micro and small businesses (MSMEs) make decisions about credit applications and tax calculations. MSME Community in Jenggawah, Jember in 2021 are the subject of this research. This research utilizes multiple linear regression analysis. The research results show that accounting knowledge behavior, firm age, and training on accounting have a significant effect on the use of accounting.          In general, the performance of small and medium enterprises (MSMEs) varies from year to year. The output growth rate of small and medium enterprises (MSMEs) changes every year. Financial management is one of the problems often faced by MSME. Although the impact of neglecting financial management may not be immediately visible, a potentially growing company can go bankrupt if it does not use proper accounting methods. There are several other challenges faced by MSMEs, such as a lack of accounting or bookkeeping knowledge, not having sufficient funds to hire an accountant or buy an accounting program that makes bookkeeping easier. It is hoped that this research can help micro and small businesses (MSMEs) make decisions about credit applications and tax calculations. MSME Community in Jenggawah, Jember in 2021 are the subject of this research. This research utilizes multiple linear regression analysis. The research results show that accounting knowledge behavior, firm age, and training on accounting have a significant effect on the use of accounting.
一般来说,中小型企业(MSMEs)的业绩每年都有所不同。中小微企业的产出增长率每年都在变化。财务管理是中小微企业经常面临的问题之一。虽然忽视财务管理的影响可能不会立即显现,但如果不使用适当的会计方法,一家潜在的成长型公司就可能破产。中小微企业还面临其他一些挑战,如缺乏会计或簿记知识,没有足够的资金聘请会计或购买便于簿记的会计程序。希望这项研究能帮助中小微企业在信贷申请和税务计算方面做出决策。本研究以 2021 年 Jember 省 Jenggawah 的中小微企业社区为研究对象。本研究采用多元线性回归分析法。研究结果表明,会计知识行为、公司年龄和会计培训对会计的使用有显著影响。 一般来说,中小型企业(MSMEs)的业绩每年都有所不同。中小微企业的产出增长率每年都在变化。财务管理是中小微企业经常面临的问题之一。虽然忽视财务管理的影响可能不会立即显现,但如果不使用适当的会计方法,一家潜在的成长型公司就可能破产。中小微企业还面临其他一些挑战,如缺乏会计或簿记知识,没有足够的资金聘请会计或购买便于簿记的会计程序。希望这项研究能帮助中小微企业在信贷申请和税务计算方面做出决策。本研究以 2021 年 Jember 省 Jenggawah 的中小微企业社区为研究对象。本研究采用多元线性回归分析法。研究结果表明,会计知识行为、企业年龄和会计培训对会计的使用有显著影响。
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引用次数: 0
The Impact of Self Directed Learning and Digital Literacy for Study Result Pengelolaan Bisnis Ritel Subject Grade XI BDP SMK Negeri 1 Medan 2022/2023 自主学习和数字素养对学习成绩的影响 Pengelolaan Bisnis Ritel Subject Grade XI BDP SMK Negeri 1 Medan 2022/2023
Pub Date : 2023-12-05 DOI: 10.59890/ijist.v1i5.941
Rotua Angelita, Marsaulina Silaen
This research aims to find out the influence of Self Directed Learning and Digital Literacy on the Learning Results of Class XI BDP SMK Negeri 1 Medan. The population in this study is the entire student class XI BDP SMK State 1 Medan T.A 2022/2023 which totaled 66 students. The sampling technique was carried out using total samplings to obtain a sample of 66 students. In the meantime, for the collection of research data obtained from elevators and lists of student values. The result of the double linear regression test showed the constant value (a) of 4.019, the self-directed learning variable regression coefficient value of 0.623, then the Digital Literation variabel regression factor of 0.362. It was concluded that Self Directed Learning and Digital Literacy had a significant impact on Retail Business Management Lesson Results in Class XI BDP SMK State 1 Medan T.A 2022/2023.
本研究旨在了解自主学习和数字素养对棉兰第一州立中学(SMK Negeri 1)十一年级学生学习成绩的影响。本研究的研究对象是棉兰市第一中学第十一班的全体学生,共计66名学生。抽样技术采用总体抽样法,以获得 66 名学生的样本。同时,为了收集研究数据,从电梯和学生数值清单中获取数据。双重线性回归检验的结果显示,常数(a)为 4.019,自主学习变量回归系数为 0.623,然后数字阅读变量回归系数为 0.362。由此得出结论,自主学习和数字素养对2022/2023学年棉兰T.A省第十一班BDP SMK State 1零售商业管理课程的成绩有显著影响。
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引用次数: 0
The Impact of Problem Based Learning Model for the Result of Social Subject Grade VIII in SMP Cinta Rakyat 3 Pematang Siantar Year 2022/2023 基于问题的学习模式对2022/2023学年民联第三中学社会科目八年级成绩的影响
Pub Date : 2023-11-29 DOI: 10.59890/ijist.v1i5.781
Destiana br Panjaitan, Tumpal Manahara Siahaan, Anton Luvi Siahaan
The problem in this research is the low economic learning outcomes of students in the learning process. This research aims to determine the effect of the problem based learning model on the social studies learning outcomes of class VIII students at Cinta Rakyat 3 Private Middle School Pematang Siantar FY 2022/2023. The research used a quasi-experimental method with a Noneqivalent Control Group Design. This design consists of two stages, namely pretest and posttest. The sample in the research in class VIII-C was 32 students and VIII-D was 32 students. The research instrument used was the learning outcomes test. From the results of the analysis carried out in the experimental class, the average pretest score was 47.34 and posttest was 73.91. Meanwhile, in the control class the average pretest score was 38.59 and the average posttest score was 53.12. The results of hypothesis testing using the independent sample t-test obtained tcount 4.706 > ttable 1.295 and the significance was 0.000 <0.005 so it can be concluded that the learning outcomes of students taught using the problem based learning model are influential and good for use in learning.
本研究的问题是学生在学习过程中的经济学习成果较低。本研究旨在确定基于问题的学习模式对 Cinta Rakyat 3 Private Middle School Pematang Siantar 2022/2023 学年八年级学生社会学学习成果的影响。 研究采用了非等效对照组设计的准实验方法。该设计包括两个阶段,即前测和后测。八年级 C 班的研究样本为 32 名学生,八年级 D 班的研究样本为 32 名学生。使用的研究工具是学习成果测试。从实验班的分析结果来看,前测平均分为 47.34 分,后测平均分为 73.91 分。而对照班的前测平均分为 38.59 分,后测平均分为 53.12 分。使用独立样本 t 检验进行假设检验的结果为 tcount 4.706 > ttable 1.295,显著性为 0.000 <0.005,因此可以得出结论,使用基于问题的学习模式教学的学生的学习成果是有影响力的,是有利于学习的。
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引用次数: 0
The Impact of Learning Dacilities and Learning Discipline for the Result Grade VII SMP Negeri 7 Pematang Siantar 学习设施和学习纪律对七级 SMP Negeri 7 Pematang Siantar 成绩的影响
Pub Date : 2023-11-29 DOI: 10.59890/ijist.v1i5.783
Ivan Rivaldo Purba, Anton Luvi Siahaan, Sotarduga Sihombing
This research aims to find out how learning facilities and discipline influence the learning outcomes of class VII students at SMP Negeri 7 Pematang Siantar. The variables in this research are learning facilities and discipline as independent variables and learning outcomes as dependent variables. This type of research is quantitative descriptive research, with a population of all class VII students at SMP Negeri 7 Pematang Siantar totaling 222 .  students and the research sample was 145 students selected using random sampling techniques . Data collection techniques use observation and questionnaires, while data analysis techniques use validity tests, reliability tests, normality tests, multicollinearity tests, heteroscedasticity, multiple linear regression, t tests, f tests, and coefficient of determination tests (R2). ​The results of this research indicate that there is no positive and significant influence between learning facilities on the learning outcomes of class VII students at SMP Negeri 7 Pematang Siantar as seen from the tcountlttable or 3.338> 1.6556 . There is a positive and significant influence between learning facilities and discipline on the learning outcomes of class VII students at SMP Negeri 7 Pematang Siantar as seen from the fcount>ftable value or 6.416>3.06 and the significant value is 0.001<0.05.
本研究旨在了解学习设施和纪律如何影响 SMP Negeri 7 Pematang Siantar 学校七年级学生的学习成绩。本研究的变量是作为自变量的学习设施和纪律,以及作为因变量的学习成果。本研究为定量描述性研究,研究对象为 SMP Negeri 7 Pematang Siantar 学校七年级的所有学生,共计 222 名学生,研究样本为采用随机抽样技术选出的 145 名学生。数据收集技术采用观察法和问卷法,数据分析技术采用有效性检验、可靠性检验、正态性检验、多重共线性检验、异方差检验、多元线性回归、t 检验、f 检验和决定系数检验 (R2)。 研究结果表明,从 t 计数表或 3.338>1.6556 中可以看出,学习设施对 SMP Negeri 7 Pematang Siantar 学校七年级学生的学习成绩没有积极和显著的影响。从fcount>ftable值或6.416>3.06可以看出,学习设施和纪律对七号白马塘仙塔小学七年级学生的学习成绩有积极和重要的影响,其显著值为0.001<0.05。
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引用次数: 0
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International Journal of Integrated Science and Technology
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