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ANOMALY DETECTION IN ZIGBEE-BASED IOT USING SECURE AND EFFICIENT DATA COLLECTION 基于zigbee的物联网异常检测:安全高效的数据采集
Pub Date : 2023-04-30 DOI: 10.20527/jtiulm.v8i1.152
Fal Sadikin, Nuruddin Wiranda
This article outlines various techniques for detecting types of attacks that may arise in ZigBee-based IoT system. The researchers introduced a hybrid Intrusion Detection System (IDS), combining rule-based intrusion detection and machine learning-based anomaly detection. Rule-based attack detection techniques are used to provide an accurate detection method for known attacks. However, determining accurate detection rules requires significant human effort that is susceptible to error. If it is done incorrectly, it can result in false alarms. Therefore, to alleviate this potential problem, the system is being upgraded by combining it (hybrid) with machine learning-based anomaly detection. This article expounds the researchers’ IDS implementation covering a wide variety of detection techniques to detect both known attacks and potential new types of attacks in ZigBee-based IoT system. Furthermore, a safe and efficient meth-od for large-scale IDS data collection is introduced to provide a trusted reporting mechanism that can operate on the stringent IoT resource requirements appropriate to today's IoT systems.
本文概述了用于检测基于zigbee的物联网系统中可能出现的攻击类型的各种技术。研究人员介绍了一种混合入侵检测系统(IDS),结合了基于规则的入侵检测和基于机器学习的异常检测。基于规则的攻击检测技术为已知的攻击提供了准确的检测方法。然而,确定准确的检测规则需要大量的人力,这很容易出错。如果操作不正确,可能会导致假警报。因此,为了缓解这一潜在问题,系统正在进行升级,将其与基于机器学习的异常检测相结合(混合)。本文阐述了研究人员的IDS实现,涵盖了多种检测技术,以检测基于zigbee的物联网系统中的已知攻击和潜在的新型攻击。此外,还引入了一种安全有效的大规模IDS数据收集方法,以提供可信赖的报告机制,该机制可以在适合当今物联网系统的严格物联网资源要求上运行。
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引用次数: 0
DECISION SUPPORT SYSTEM FOR DETERMINING STUDENT ELIGIBILITY TO PARTICIPATE OF MBKM IN THE INFORMATICS STUDY PROGRAM USING AHP AND TOPSIS 决策支持系统,用于确定学生是否有资格参与信息学研究计划中的MBKM,使用ahp和topsis
Pub Date : 2023-04-30 DOI: 10.20527/jtiulm.v8i1.156
Yan Puspitarani, Fitrah Rumaisa, Sriyani Violina, Feri Sulianta, Ai Rosita
To be able to have mastery of various sciences that are useful for experience in the world of work, students are encouraged through the MBKM program. Most students of the Informatics Study Program will choose an internship scheme and independent study in applying for the MBKM. However, the increasing number of students' interest in this program requires the Informatics Study Program to be more selective in analyzing the eligibility of students to take part in the MBKM program it has chosen. For this reason, a decision support system is needed that can assist the study program in determining and assessing the eligibility of these students. This study created a DSS modeling using the Analytical Hierarchy Process (AHP) method and the Technique For Order Preference by Similarity to Ideal Solution (TOPSIS) using 8 criteria.
为了能够掌握对工作经验有用的各种科学,MBKM计划鼓励学生。信息学研究项目的大部分学生在申请MBKM时会选择实习计划和自主学习。然而,越来越多的学生对这个项目感兴趣,要求信息学研究项目在分析学生是否有资格参加它所选择的MBKM项目时更加有选择性。出于这个原因,需要一个决策支持系统来帮助研究项目确定和评估这些学生的资格。本研究采用层次分析法(AHP)和TOPSIS (Order Preference Technique of Similarity to Ideal Solution)建立决策支持系统模型,并采用8个标准。
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引用次数: 0
INVESTIGATION AND PENETRATION OF DIGITAL ATTACKS ON ZIGBEE-BASED IOT SYSTEMS 对基于zigbee的物联网系统的数字攻击的调查和渗透
Pub Date : 2023-04-30 DOI: 10.20527/jtiulm.v8i1.154
Fal Sadikin, Nuruddin Wiranda
The market for Internet of Things (IoT) products and services has grown rapidly. It has been predicted that the deployment of these IoT applications will grow exponentially in the near future. However, the rapid growth of IoT brings new security risks and potentially opens up new types of attacks for systems and networks. This article outlines various techniques to carry out attacks on ZigBee-based IoT systems. We conducted penetration experiments on various possible attacks on Zigbee-based IoT. The purpose of this experiment’s results is for reference in developing an Intrusion Detection System (IDS) specifically for ZigBee-based IoT.
物联网(IoT)产品和服务市场快速增长。据预测,在不久的将来,这些物联网应用的部署将呈指数级增长。然而,物联网的快速发展带来了新的安全风险,并可能为系统和网络带来新的攻击类型。本文概述了对基于zigbee的物联网系统进行攻击的各种技术。我们对基于zigbee的物联网可能受到的各种攻击进行了渗透实验。本实验结果的目的是为开发专门针对基于zigbee的物联网的入侵检测系统(IDS)提供参考。
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引用次数: 0
DESIGN OF AN INVENTORY INFORMATION SYSTEM FOR LABORATORY SUPPLIES 实验室用品库存信息系统的设计
Pub Date : 2023-04-30 DOI: 10.20527/jtiulm.v8i1.159
Noor Razikin, Yuslena Sari, Erika Maulidiya
Data is inaccurate because it does not have a relevant data repository, data can be lost or damaged, inefficient data search and technicians cannot know for sure the amount of stock available. Based on some of the research above, the inventory information system for Laboratory goods in the Information Technology Study Program will be designed and built based on a website using the Laravel framework. The system development method used is the Incremental model. Incremental models are the result of a combination of elements from the waterfall model that are applied repeatedly, or it can be called a combination of the waterfall model and the Prototype Model. During testing, many errors were found in the system. Testing was carried out 4 times with a total of 164 test cases. In the first test, 98 bugs were found which were then reported to the programmer to be fixed. In the second test, 40 errors were found, in the third test, 19 errors were found, and in the last test conducted by the examiner, 0 bugs were found. The design of the Laboratory Goods Inventory Information System (SIMBA) begins with analyzing the weaknesses of the old system using the PIECES method. Then proceed with conducting a system requirements analysis and system feasibility analysis. After the analysis phase, it is continued with the design stage which begins with the UML design method.
数据是不准确的,因为它没有相关的数据存储库,数据可能丢失或损坏,数据搜索效率低下,技术人员无法确定可用的库存数量。在以上研究的基础上,基于Laravel框架的网站,设计并构建了信息技术研究项目实验室物品库存信息系统。使用的系统开发方法是增量模型。增量模型是瀑布模型中重复应用的元素组合的结果,或者可以称为瀑布模型和原型模型的组合。在测试过程中,系统中发现了许多错误。测试进行了4次,总共有164个测试用例。在第一次测试中,发现了98个bug,然后报告给程序员进行修复。在第二次测试中,发现了40个错误,在第三次测试中,发现了19个错误,在审查员进行的最后一次测试中,发现了0个错误。在实验室物品库存信息系统(SIMBA)的设计中,首先利用PIECES方法分析了旧系统的不足。然后进行系统需求分析和系统可行性分析。在分析阶段之后,继续进入设计阶段,该阶段从UML设计方法开始。
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引用次数: 0
APPLICATION OF DESIGN THINKING METHOD IN REDESIGNING THE UI/UX OF SIMAK (ACADEMIC INFORMATION SYSTEM) OF SRIWIJAYA UNIVERSITY BASED ON A MOBILE PLATFORM 设计思维方法在斯里维加亚大学基于移动平台的simak(学术信息系统)ui / ux重新设计中的应用
Pub Date : 2023-04-30 DOI: 10.20527/jtiulm.v8i1.157
Frans Juansyah, Dwi Rosa, Indah, Fakultas, Ilmu Komputer
Students at Sriwijaya University are having difficulty accessing academic information through SIMAK using their mobile devices due to a user interface that is not optimized for smartphones. In this study, the author used the Design Thinking method because it has stages that are very helpful in creating prototypes, such as the Empathize stage where the author can directly interact with users' personal opinions, up to the testing stage, which helps the author analyze the results of prototype creation so that further development can be more responsive and better. The prototype was tested through Maze, a platform that helps users test product or service prototypes quickly and efficiently. This platform is integrated with various prototype-making applications and allows users to collect qualitative and quantitative data in one place and the User Experience Questionnaire (UEQ) to analyze data from prototype testing. Based on the results of usability testing, the UEQ scores from 26 SIMAK users were above 1.6, with almost all assessment categories such as "Appeal", "Efficiency", "Accuracy", "Stimulation", "Novelty", and 1.3 in " Perspicuity". Therefore, it can be concluded that the SIMAK prototype design has a good user experience, and the design can be used as a reference for SIMAK mobile-based displays in the future.
斯里维加亚大学(Sriwijaya University)的学生在使用移动设备通过SIMAK获取学术信息时遇到了困难,因为SIMAK的用户界面没有针对智能手机进行优化。在这项研究中,作者使用了设计思维方法,因为它有非常有助于创建原型的阶段,如移情阶段,作者可以直接与用户的个人意见进行交互,直到测试阶段,这有助于作者分析原型创建的结果,以便进一步的开发可以更快,更好。该原型是通过Maze进行测试的,Maze是一个帮助用户快速有效地测试产品或服务原型的平台。该平台集成了各种原型制作应用程序,允许用户在一个地方收集定性和定量数据,并通过用户体验问卷(UEQ)分析原型测试数据。根据可用性测试结果,26名SIMAK用户的UEQ得分在1.6以上,几乎所有的评估类别,如“吸引力”,“效率”,“准确性”,“刺激”,“新颖性”和“清晰度”中的1.3。因此,可以得出结论,SIMAK原型设计具有良好的用户体验,该设计可以作为未来SIMAK移动显示器的参考。
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引用次数: 0
THE THE EFFECTS OF PERCEIVED EASE OF USE, PERCEIVED SECURITY, AND PERCEIVED SATISFACTION ON INITIAL TRUST OF BRI MOBILE BANKING USERS (CUSTOMER STUDY IN SAMARINDA CITY) 感知易用性、感知安全性和感知满意度对bri手机银行用户初始信任的影响(萨马林达市客户研究)
Pub Date : 2023-04-30 DOI: 10.20527/jtiulm.v8i1.155
Prajna Dyah Kinanti, A. Andriana
The purpose of this study was to examine the effect of perceived ease of use, perceived security, and trust on customer satisfaction using BRI mobile banking in Samarinda. This study uses a quantitative approach to the type of associative research. The number of samples used was 96 respondents using the purposive sampling method. The criteria for respondents in this study were BRI customers who are domiciled in the city of Samarinda and are over 18 years old and have been using BRI mobile banking for the last 6 months. The analysis technique used is data quality test, classic assumption test, multiple linear regression test, and hypothesis testing which is processed using the SPSS version 22 application. From the test results it is known that perceived security and perceived satisfaction have a positive and significant effect on the initial trust of BRI mobile banking users both partially and simultaneously, while perceived ease of us does not have a partial significant effect on the initial trust of BRI mobile banking users. So it can be concluded that perceived security and perceived satisfaction affect the initial trust level of BRI mobile banking customers.
本研究的目的是考察在萨马林达使用BRI移动银行的感知易用性、感知安全性和信任对客户满意度的影响。本研究采用定量方法进行联想研究。样本数量为96个,采用目的抽样法。在这项研究中,受访者的标准是居住在萨马林达市的BRI客户,年龄超过18岁,过去6个月一直在使用BRI移动银行。采用的分析方法为数据质量检验、经典假设检验、多元线性回归检验和假设检验,并使用SPSS 22应用程序进行处理。从检验结果可知,感知安全性和感知满意度对“一带一路”手机银行用户的初始信任具有部分和同时的正向显著影响,而感知易用性对“一带一路”手机银行用户的初始信任没有部分显著影响。由此可见,感知安全性和感知满意度影响BRI手机银行客户的初始信任水平。
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引用次数: 0
IDENTIFICATION OF MENTAL HEALTH WORKERS IN LAMONGAN WITH MACHINE LEARNING 用机器学习识别拉蒙干精神卫生工作者
Pub Date : 2023-04-30 DOI: 10.20527/jtiulm.v8i1.148
Retno Wardhani, Nur Nafi’iyah
COVID-19 has caused a global health crisis, with increasing numbers of people being infected and dying every day. Various countries have tried to control its spread by applying the basic principles of social aggregation and testing. Experts agree that physical and mental health are interrelated and must be managed and balanced. The government must pay attention to balancing physical and mental health during a pandemic. The Ministry of Health has issued a guidebook for Mental Health and Psychosocial Support (DKJPS) during the COVID-19 pandemic. Based on the mental health conditions of the community or medical personnel, we are trying to create a system for mental health analysis for medical professionals based on the results of questionnaires using the machine learning method (Naive Bayes, Decision Tree, k-NN, SVM, Backpropagation, and Logistic Regression). A total of 24 question questionnaires were submitted to respondents. This study aimed to create a machine learning model (Naive Bayes, Decision Tree, k-NN, SVM, Backpropagation, and Logistic Regression) to identify the mental health of medical personnel during the COVID-19 pandemic. The results of this study are machine learning models that have the highest accuracy in identifying health workers' mental health and are 100% SVM.
COVID-19引发了全球健康危机,每天都有越来越多的人被感染和死亡。各国试图通过运用社会聚集和检验的基本原则来控制其传播。专家们一致认为,身心健康是相互关联的,必须加以管理和平衡。在大流行期间,政府必须注意平衡身心健康。卫生部发布了《2019冠状病毒病大流行期间精神卫生和社会心理支持指南》。基于社区或医务人员的心理健康状况,我们正在尝试使用机器学习方法(朴素贝叶斯,决策树,k-NN,支持向量机,反向传播和逻辑回归),基于问卷调查结果创建一个医疗专业人员心理健康分析系统。共向受访者提交了24份问题问卷。本研究旨在建立一个机器学习模型(朴素贝叶斯、决策树、k-NN、支持向量机、反向传播和逻辑回归)来识别COVID-19大流行期间医务人员的心理健康状况。本研究的结果是在识别卫生工作者心理健康方面具有最高准确性的机器学习模型,并且是100%支持向量机。
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引用次数: 0
INTRUSION DETECTION SYSTEM FOR ZIGBEE-BASED IOT USING DATA ANALYSIS RULES 基于数据分析规则的zigbee物联网入侵检测系统
Pub Date : 2023-04-30 DOI: 10.20527/jtiulm.v8i1.153
Fal Sadikin, Nuruddin Wiranda
The market for Internet of Things (IoT) products and services has grown rapidly. It has been predicted that the deployment of these IoT applications will grow exponentially in the near future. However, the rapid growth of IoT brings new security risks and potentially opens new types of attacks for systems and networks. This article outlines various techniques for detecting known attacks in ZigBee-based IoT systems. We introduced an Detection System (IDS) specific for ZigBee using data analytics method, that are used to provide an accurate detection method for known attacks. This article looks at our IDS implementation covering a wide variety of detection techniques to detect known attacks ZigBee IoT systems.
物联网(IoT)产品和服务市场快速增长。据预测,在不久的将来,这些物联网应用的部署将呈指数级增长。然而,物联网的快速发展带来了新的安全风险,并可能为系统和网络带来新的攻击类型。本文概述了在基于zigbee的物联网系统中检测已知攻击的各种技术。我们引入了一种使用数据分析方法的ZigBee专用检测系统(IDS),用于为已知攻击提供准确的检测方法。本文介绍了我们的IDS实现,涵盖了各种检测技术来检测ZigBee IoT系统的已知攻击。
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引用次数: 0
ANALYSIS OF QRIS USER EXPERIENCE USING THE USER EXPERIENCE QUESTIONNAIRE (UEQ) METHOD 使用用户体验问卷(ueq)方法分析qris用户体验
Pub Date : 2023-04-30 DOI: 10.20527/jtiulm.v8i1.149
Tira Siya, Fajar Rahayu, M. F. Aransyah
Digital wallets are the most preferred payment method by Indonesian digital society compared to other payment methods, namely cash payments and bank transfers. Over time, several digital wallet platforms began to create QR codes according to their respective platforms. With each platform having its own QR Code, this can make it difficult for users to make payments. Therefore, Bank Indonesia, which is tasked with regulating and maintaining the smooth running of the payment system, regulates the QR Code to be standardized in accordance with the International Europe Mastercard Visa standard. A product is said to be successful if the product is able to meet user needs to increase user satisfaction. In order for the product to meet the standards, it is necessary to evaluate the quality of the product. One of the evaluations that must be carried out is an evaluation of the User Experience. The sampling technique used is purposive sampling with the criteria that domiciled in Samarinda and has used QRIS as a payment system. Data analysis was carried out using the UEQ Data Analysis Tool. The results of this study are that user experience (attractiveness, perspicuity, efficiency, dependability, stimulation, novelty) has a positive impression on QRIS user satisfaction in Samarinda City.
与现金支付和银行转账等其他支付方式相比,数字钱包是印尼数字社会最喜欢的支付方式。随着时间的推移,一些数字钱包平台开始根据各自的平台创建二维码。由于每个平台都有自己的二维码,这可能会给用户支付带来困难。因此,负责监管和维护支付系统平稳运行的印尼银行根据国际欧洲万事达Visa标准对二维码进行了规范。如果一个产品能够满足用户的需求,增加用户的满意度,那么这个产品就是成功的。为了使产品符合标准,有必要对产品的质量进行评估。必须执行的评估之一是用户体验评估。使用的抽样技术是有目的的抽样,其标准是在萨马林达定居,并使用QRIS作为支付系统。使用UEQ数据分析工具进行数据分析。本研究结果显示,用户体验(吸引力、清晰性、效率、可靠性、刺激性、新颖性)对萨马林达市QRIS用户满意度有正向影响。
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引用次数: 0
CLASSIFICATION OF GUIDING BLOCKS FOR THE VISUALLY IMPAIRED USING HOG AND SVM 基于hog和SVM的视障导盲块分类
Pub Date : 2023-04-05 DOI: 10.20527/jtiulm.v8i1.151
Nurul Fathanah Mustamin, M. A. Ma’ruf, Rafif Taufiqurrahman
All citizens, including those with physical limitations, should be able to use public facilities and services without issue. The principles of accessibility—convenience, safety, usability, and independence—must be followed if we are to achieve social welfare in every area of life. For those with mobility or sight impairments, a guiding block (also known as a guiding tile or warning tile) can serve as an important indication. Regrettably, not all visually impaired people make use of this function in its current setup. Use a Support Vector Machine (SVM) and a His-togram of Oriented Gradient (HOG) to extract features for use in Guidance block image categorization. At a threshold of 75, the guiding blocks' classification accuracy is 99.51 percent within 30 cm, 74.811 percent within 50 cm, and 82.221 percent within 80 cm.    
所有公民,包括身体有缺陷的人,都应该能够毫无问题地使用公共设施和服务。如果我们要在生活的各个领域实现社会福利,就必须遵循无障碍原则——方便、安全、可用和独立。对于那些行动不便或视力受损的人来说,一个引导块(也称为引导砖或警告砖)可以作为一个重要的指示。遗憾的是,并不是所有的视障人士都能使用这个功能。利用支持向量机(SVM)和梯度梯度his图(HOG)提取特征,用于导块图像分类。当阈值为75时,导块在30 cm范围内的分类准确率为99.51%,在50 cm范围内的分类准确率为74.811%,在80 cm范围内的分类准确率为82.221%。
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引用次数: 0
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Jurnal Teknologi Informasi Universitas Lambung Mangkurat (JTIULM)
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