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User requirements and interface design for collaboration research applications using user experience design process 使用用户体验设计过程的协作研究应用程序的用户需求和界面设计
Pub Date : 2022-11-01 DOI: 10.20895/infotel.v14i4.808
Abdul Karim Batubara, Franindya Purwaningtyas, Raissa Amanda Putri
In conducting collaborative research involving more than one researcher, a system is needed that can improve the performance of researchers in various ways. This study captures the challenges faced by researchers in collaborative research and defines the requirements for collaborative research systems needed to address these challenges. From the analysis of the needs obtained, the researchers designed a collaboration application interface. Collaboration applications are needed to facilitate communication between researchers, search for articles, share publications, and other applications. The distribution of questionnaires and interviews were conducted to obtain the requirements needed for the development of a collaboration system. This research informs system developers to support the development of collaborative systems. In this study, the level of need for a research collaboration system in the university environment will be analyzed along with an analysis of its needs and the design of the user interface.
在进行涉及多个研究人员的合作研究时,需要一个能够以各种方式提高研究人员绩效的系统。这项研究抓住了研究人员在合作研究中面临的挑战,并定义了应对这些挑战所需的合作研究系统的要求。通过对所获得的需求的分析,研究人员设计了一个协作应用程序界面。需要协作应用程序来促进研究人员之间的交流、搜索文章、共享出版物和其他应用程序。进行了问卷调查和访谈,以获得开发协作系统所需的要求。这项研究为系统开发人员提供了支持协作系统开发的信息。在本研究中,将分析大学环境中对研究协作系统的需求水平,同时分析其需求和用户界面的设计。
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引用次数: 0
Implementation of intrusion prevention system (IPS) to analysis triad cia on network security attacks on web server 入侵防御系统(IPS)的实现分析网络服务器网络安全攻击中的黑社会cia
Pub Date : 2022-11-01 DOI: 10.20895/infotel.v14i4.813
Amilia Anggraeni, Jafaruddin Gustri Amri Ginting, Syariful Ikhwan
Computer networks are built to achieve the main goal of communicating with each other . During the transmission process, it is expected that information can be conveyed quickly, efficiently and safely. Network security serves to avoid damage or even data loss caused by attacker activities during the communication process. Security aspects that need to be maintained in data information are Confidentiality, Integrity and Availability. Intrusion Prevention System is a solution that can maintain network security from various attacks. The Intrusion Prevention System will act as a protector on the network by detecting and preventing suspicious traffic on nodes in a network. The Intrusion Prevention System in its implementation has several tools which are used in this study, namely Snort and IPTables. Testing is done by performing attacks on the Web Server. The attacks carried out are Port Scanning, DDoS attacks and Brute Force. The results of this study are based on the CIA Triad with the three attacks having different characteristics in terms of cause and effect. On the defense side, Port Scanning and Brute Force can be easily prevented by IPS, but in DDoS attacks there are differences in results between drop and reject rule. In a DDoS attack with an action drop rule, it can recover the web server in 160 seconds while the action reject rule can be restored at 145 seconds which normally can be recovered in a DDoS attack in 165 seconds. The IPS server can also reduce resources when there is a DDoS attack by 9.2% .
计算机网络的建立是为了实现相互通信的主要目标。在传输过程中,人们期望信息能够快速、高效、安全地传递。网络安全是为了避免在通信过程中攻击者的活动造成的破坏甚至数据丢失。数据信息中需要维护的安全方面是机密性、完整性和可用性。入侵防御系统是一种保护网络安全免受各种攻击的解决方案。入侵防御系统通过检测和阻止网络节点上的可疑流量,在网络中起到保护器的作用。入侵防御系统在其实现中使用了几个工具,即Snort和IPTables。测试是通过对Web服务器执行攻击来完成的。攻击手段包括端口扫描、DDoS攻击和暴力破解。本研究的结果是基于CIA的三位一体,三次攻击在因果关系方面具有不同的特点。在防御方面,端口扫描和暴力破解可以很容易地被IPS阻止,但在DDoS攻击中,丢弃规则和拒绝规则的结果是不同的。在配置了动作丢弃规则的DDoS攻击中,可以在160秒内恢复web服务器,在145秒内恢复动作拒绝规则,而在DDoS攻击中通常需要165秒才能恢复。当存在DDoS攻击时,IPS服务器也可以减少9.2%的资源。
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引用次数: 0
Performance improvement of the shredder machines using IoT-based overheating controller feature 采用物联网过热控制器功能的碎纸机性能改进
Pub Date : 2022-11-01 DOI: 10.20895/infotel.v14i4.812
Emy Setyaningsih, Satriawan Dini Hariyanto, Dewi Wahyuningtyas, Samuel Kristiana
Plastic shredding plays an essential role in the plastic waste recycling process. Plastic waste can be enumerated manually using a knife and scissors or a crushing machine. The use of a shredder machine to chop plastic waste, especially those whose primary drive is an electric motor, often experience problems. The main obstacle is the need for high power consumption (more than 1 HP) and the reliability of the drive elements against overheating. Overheating can damage the electrical circuit components that connect the power supply to electric motors, especially AC electric motors, causing a lot of loss in terms of performance and user safety. Internet of Things (IoT) technology is widely used to minimize energy resources by automating various systems. This study proposed the design of a shredder machine with a control system using IoT technology integrated with a shredder and conveyor machine designed using the Quantity Functional Diagram (QFD) method. The advantages of the shredder machine presented in this study are that it can operate at home using electric power, is more flexible, and minimizes overheating with an IoT-based overheating controller. This research succeeded in keeping the temperature of the electric motor of the shredder machine stable at a temperature of 40℃-55℃. The average delay of the IoT module to control on and off the shredder machine design system in this study is 219 ms and 200 ms, which are in the good category according to the Telecommunications and Internet Protocol Harmonization Over Network (TIPHON) standard.
塑料切碎在塑料垃圾回收过程中起着至关重要的作用。塑料垃圾可以用刀和剪刀或破碎机手动计数。使用碎纸机切碎塑料垃圾,尤其是那些主要驱动装置是电动机的塑料垃圾,经常会遇到问题。主要障碍是需要高功耗(超过1 HP)和驱动元件防止过热的可靠性。过热会损坏将电源连接到电动机的电路组件,尤其是交流电动机,从而在性能和用户安全方面造成大量损失。物联网(IoT)技术被广泛用于通过自动化各种系统来最大限度地减少能源资源。本研究提出了一种碎纸机的设计,该碎纸机具有使用物联网技术的控制系统,与使用数量功能图(QFD)方法设计的碎纸机和传送机集成。本研究中提出的碎纸机的优点是,它可以在家中使用电力运行,更灵活,并通过基于物联网的过热控制器最大限度地减少过热。本研究成功地将碎纸机电机的温度稳定在40℃-55℃。本研究中,物联网模块控制碎纸机设计系统的开启和关闭的平均延迟分别为219毫秒和200毫秒,根据电信和互联网协议网络协调(TIPHON)标准,这两个延迟属于良好类别。
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引用次数: 1
Opinion mining indonesian presidential election on twitter data based on decision tree method 基于决策树方法的推特数据对印尼总统选举的意见挖掘
Pub Date : 2022-11-01 DOI: 10.20895/infotel.v14i4.832
Nur Ghaniaviyanto Ramadhan, Merlinda Wibowo, Nur Fatin Liyana Mohd Rosely, C. Quix
Indonesia is a country led by a president. The term of the leadership of a president will be democratically elected every five years. The current president will end his term of office in 2024. So that in that year, the people will hold a direct general election to determine the president between 2024 and 2029. Before the general election was held in Indonesia itself, it was thick related to the campaign for each presidential candidate carried out by his supporters. The campaign is carried out directly to village locations and on social media Twitter/Facebook/YouTube. His campaign writing on Twitter is exciting to analyze. Even now, many tweets related to the 2024 presidential election contain various opinions from the public. This study will examine the sentiment of someone's tweet to see the public's statement regarding the 2024 presidential election. The resulting sentiment categories are positive, negative, and neutral, and the word tweet related to the sentiment category will be visualized. The results of the sentiment category will then be classified using a tree-based method, namely a decision tree. The accuracy generated by applying the decision tree method is 99.3%. The decision tree method is also superior to the regression-based way by 2.5%.
印度尼西亚是一个由总统领导的国家。总统的任期每五年民主选举一次。现任总统将于2024年结束任期。因此,在那一年,人民将举行直接大选,以确定2024年至2029年之间的总统。在印度尼西亚举行大选之前,这与每位总统候选人的支持者进行的竞选活动密切相关。该活动直接在村庄地点进行,并在社交媒体Twitter/Facebook/YouTube上进行。他在推特上的竞选文章分析起来令人兴奋。即使是现在,与2024年总统选举有关的推特上也有很多人表达了不同的意见。这项研究将研究某人的推文的情绪,以了解公众对2024年总统选举的声明。由此产生的情绪类别是积极的、消极的和中性的,与情绪类别相关的单词tweet将被可视化。然后,情感类别的结果将使用基于树的方法进行分类,即决策树。应用决策树方法生成的准确率为99.3%。决策树方法也比基于回归的方法好2.5%。
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引用次数: 1
Analysis and small-signal modeling of simplified cascade multiphase DC-DC buck converter 简化级联多相DC-DC降压变换器的分析与小信号建模
Pub Date : 2022-11-01 DOI: 10.20895/infotel.v14i4.814
Nungky Prameswari
One of the power converters that are often implemented in renewable energy applications is a DC-DC power converter. One of such converters is a step-down converter or buck converter whose output voltage is lower than its input. A novel DC-DC buck converter for low output-voltage and high output current applications is presented in this paper. When compared to the conventional buck converter, the voltage ratio of the proposed topology is higher. The output of this converter also has lower ripple. Thus, the proposed topology is appropriate for renewable applications. The operating principle and small-signal model analysis are discussed in detailed. Finally, a simulation studies is carried out by PSIM to verify performances of the offered topology
在可再生能源应用中经常实现的功率变换器之一是DC-DC功率变换器。其中一种变换器是输出电压低于输入电压的降压变换器或降压变换器。提出了一种适用于低输出电压、大输出电流的新型DC-DC降压变换器。与传统降压变换器相比,所提出的拓扑结构的电压比更高。该变换器的输出也具有较低的纹波。因此,所建议的拓扑结构适用于可再生应用程序。详细讨论了其工作原理和小信号模型分析。最后,利用PSIM进行了仿真研究,验证了所提拓扑的性能
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引用次数: 0
Evaluations of the predistortion technique by neural network algorithm in MIMO-OFDM system using USRP 基于USRP的MIMO-OFDM系统中神经网络预失真技术的评估
Pub Date : 2022-11-01 DOI: 10.20895/infotel.v14i4.825
M. W. Gunawan, Naufal Ammar Priambodo, Melki Mario Gulo, A. Arifin, Yoedy Moegiharto, Hendy Briantoro
MIMO OFDM is the key technology of 4G network system. MIMO-OFDM system  enhances the spectrum efficiency and increases the capacity of the system. The implementation of USRP hardware to MIMO OFDM system has been attracted some researchers to conduct the experiments. So we conduct the experiments in a MIMO OFDM system that applies the predistortion technique.  In this experiment, we evaluate performances of the predistortion technique by using the artificial neural network.  USRP 2920 hardware which is supported by LabVIEW and Phyton software are used in this experiment. OFDM system uses 128 subcarriers to produce an OFDM symbol, and MIMO system uses 2 antennas at transmitter and receiver side. And no obstacles between Tx and Rx, or line of sight transmission scenarios. The performances of the predistortion technique using the artificial neural network algorithm are shown in symbol constellations or Error Vector Magnitude (EVM) at the receiver. And the texts or characters are used as the input of the system. From the experiment results can be seen that the distance between Tx and Rx affects the Error Vector Magnitude (EVM) and predistortion technique produces the Error vector magnitude (EVM) improvement. More shorter the distance between Tx and Rx can decrease distortions of the received signal,  At the transmitter side, the performance of predistortion technique is shown as the linearization improvement of  the non-linearity power amplifier. Therefore more wider the linear region of power amplifier results the decreasing in band distortion of transmitted signal, and can be seen as the Error Vector Magnitude (EVM) improvement.
MIMO OFDM是4G网络系统的关键技术。MIMO-OFDM系统提高了频谱效率,增加了系统的容量。USRP硬件到MIMO OFDM系统的实现吸引了一些研究人员进行实验。因此,我们在应用预失真技术的MIMO OFDM系统中进行了实验。在这个实验中,我们使用人工神经网络来评估预失真技术的性能。实验采用LabVIEW支持的USRP 2920硬件和Phyton软件。OFDM系统使用128个子载波来产生OFDM符号,MIMO系统在发射机和接收机侧使用2个天线。Tx和Rx之间没有障碍,也没有视线传输场景。使用人工神经网络算法的预失真技术的性能以接收机处的符号星座或误差矢量幅度(EVM)表示。并且文本或字符被用作系统的输入。从实验结果可以看出,Tx和Rx之间的距离影响误差矢量幅度(EVM),预失真技术产生误差矢量幅度的改善。Tx和Rx之间的距离越短,可以减少接收信号的失真。在发射机侧,预失真技术的性能表现为非线性功率放大器的线性化改进。因此,功率放大器的线性区域越宽,传输信号的带内失真就越小,这可以看作是误差向量幅值(EVM)的提高。
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引用次数: 2
Optimal planning on-grid power system for 2200VA household sector by considering economic criteria 基于经济准则的2200VA家庭电网系统优化规划
Pub Date : 2022-11-01 DOI: 10.20895/infotel.v14i4.799
B. S. Aprillia, K. O. Abdurohman
This study discusses efforts to model solar grid systems by considering economic and regulatory factors in system design. The Hybrid Optimization of Multiple Electric Renewables software is used to evaluate the economic viability of the on-grid PV technology that provides 2200VA of power in the household sector. Optimal costs are assessed from Net Present Cost (NPC) which is a cost analysis to determine investment feasibility based on interest rates and fees in the coming years and Break Even Point (BEP) which is the point where expenditure and income are balanced. The simulation results show that in the project period of 25 years the installation of on grid PV power system has an NPC that is 20% lower than the PLN network power supply with a BEP value lower than 15 years. The lowest NPC and BEP values were obtained from the installation of 7 PV panels with 300Wp capacity connected to the PLN network. This system is able to save electricity costs by IDR 23,060,260 compared to the use of 100% electricity from the State Electricity Enterprise grid. This system is worthy of being an economic tool for providing electricity services throughout the year and meeting rising energy demands in the household sector.
本研究讨论了在系统设计中考虑经济和监管因素对太阳能电网系统进行建模的努力。多种电力可再生能源的混合优化软件用于评估在家庭部门提供2200VA电力的并网光伏技术的经济可行性。最佳成本根据净现值成本(NPC)和盈亏平衡点(BEP)进行评估,净现值成本是一种成本分析,用于根据未来几年的利率和费用确定投资可行性。盈亏平衡点是支出和收入平衡的点。仿真结果表明,在25年的项目期内,并网光伏发电系统的NPC比印尼国家电力公司的网络电源低20%,BEP值低于15年。最低的NPC和BEP值是通过安装7块容量为300Wp的光伏板连接到PLN网络获得的。与使用国家电力企业电网100%的电力相比,该系统能够节省23060260印尼盾的电力成本。该系统值得成为全年提供电力服务和满足家庭部门日益增长的能源需求的经济工具。
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引用次数: 0
Linear polarization on radar cross section measurement for tank miniature 坦克微型化雷达截面测量中的线偏振
Pub Date : 2022-11-01 DOI: 10.20895/infotel.v14i4.782
Muhammad Panji Praja, W. Pamungkas
The use of radar technology, especially for the interests of state defense and security, has become the focus of development launched by the government of Indonesia. Equipment and vehicles in the defense and security sector are the top priority to be detected using radar technology. When a radar transmitter transmits its signal towards a target, some part of the signal will bounce in all directions or scattering, including to the receiver and some will be absorbed by the radar target. The radar target is assumed to have a small size, with the aim of focusing more on the beamwidth of the radar transmitting antenna to the target. This research has a focus on measuring radar targets in the form of defense equipment in the form of tanks made in miniature which are smaller than their original forms. The selected antenna polarization uses linear polarization with vertical and horizontal types. Each polarization will be compared with the value of the radar cross section (RCS) in the combination of the same polarization and different polarization. The measurement results show that the largest RCS value is obtained at an angle of 200° by 13 with a combination of Horizontal-Horizontal polarization and the smallest RCS value is obtained at an angle of 50° by -4 with a combination of Horizontal-Vertical polarization. With the results of these measurements, it can be concluded that the measurement of RCS for defense and security equipment can be carried out by measuring the miniature of the defense and security equipment
利用雷达技术,特别是为国家国防和安全利益服务,已成为印尼政府推出的发展重点。国防和安全领域的设备和车辆是使用雷达技术检测的重中之重。当雷达发射机向目标发射信号时,部分信号会向各个方向反弹或散射,包括向接收机,部分信号会被雷达目标吸收。雷达目标被假定具有小尺寸,目的是更多地聚焦于雷达发射天线对目标的波束宽度。本研究的重点是测量雷达目标的国防装备形式的坦克小型化,比原来的形式更小。所选天线极化采用垂直型和水平型线极化。将每个偏振与相同偏振和不同偏振组合下的雷达截面(RCS)值进行比较。测量结果表明,水平偏振组合在200°× 13角处获得的RCS值最大,水平偏振组合在50°× -4角处获得的RCS值最小。根据这些测量结果,可以得出结论,可以通过测量国防和安全设备的微型化来进行国防和安全设备RCS的测量
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引用次数: 0
Detection of learning styles with prior knowledge data using the SVM, K-NN and Naïve Bayes algorithms 使用SVM, K-NN和Naïve贝叶斯算法检测先验知识数据的学习风格
Pub Date : 2022-08-05 DOI: 10.20895/infotel.v14i3.788
M. Hasibuan, RZ. Abdul Aziz
The two types of automatic learning style detection approaches are data driven (DD) and literature based (LB). Both methods of automatic learning style detection have advantages over traditional learning style detection methods because they use external data sources, such as forums, quizzes and views of teaching materials, that are more accurate than the questionnaires used in traditional styles of detection. The results of automatic detection, on the other hand, do not always reflect learning styles. This paper presents a learning style recognition method that uses data from the learner’s internal source, namely prior knowledge, to overcome these challenges. Prior knowledge is proposed because it is based on the learner’s knowledge or skills, which better reflect the learner’s characteristics, rather than on the learner’s behaviour, which tends to be dynamic. By using past knowledge, this paper presents a method for detecting automatic learning patterns. The learning style detection framework is unique in that it consists of three stages: prior knowledge question development, prior knowledge measurement and learning style detection using the Support Vector Machine (SVM), Naïve Bayes and K-Nearest Neighbour (K-NN) classification methods. The accuracy of learning style detection using prior knowledge data was higher than detection results using behavioural data or hybrid data (prior knowledge + behaviour) in this study
两种类型的自动学习风格检测方法是数据驱动(DD)和基于文献的(LB)。两种自动学习风格检测方法都比传统的学习风格检测方法有优势,因为它们使用外部数据源,如论坛、测验和教材的观点,比传统风格检测中使用的问卷更准确。另一方面,自动检测的结果并不总是反映学习风格。本文提出了一种学习风格识别方法,该方法使用来自学习者内部来源的数据,即先验知识,来克服这些挑战。提出先验知识是因为它是基于学习者的知识或技能,这更能反映学习者的特点,而不是基于学习者的行为,这往往是动态的。本文提出了一种基于已有知识的自动学习模式检测方法。学习风格检测框架的独特之处在于它由三个阶段组成:先验知识问题开发、先验知识测量和使用支持向量机(SVM)、Naïve贝叶斯和k -近邻(K-NN)分类方法的学习风格检测。本研究中使用先验知识数据的学习风格检测准确率高于使用行为数据或混合数据(先验知识+行为)的检测结果
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引用次数: 0
Development of mobile billing application system for PAMDES water meter data logging PAMDES水表数据记录移动计费应用系统的开发
Pub Date : 2022-08-01 DOI: 10.20895/infotel.v14i3.779
U. Ahmad, Ikbal Ramdani, Fath Muhammad Isham, Reza Septiawan, R. R. D. Setiady, A. Rusdinar, Ashri Dinimaharawati, Yusup Diva Pratama, Fauzi Sofyan, Rifdo Shah Alam
Along with the growth of Sindangsari's population, the water requirement in this village has increased. So, the drinking water company (PAMDES) in this village must be able to manage the available water to meet the necessities of public life. Now, the water company is still collecting and recording water meters manually. It is very risky to consider the water condition in the village because an officer can make a human error while recording the water meter's value. When the water meter recorder is damaged, the officer estimates the water meter's value. An application is needed to manage bills and record water meters to avoid this in previous studies using the Internet of Things (IoT) or mobile applications that must be sent online to the server in real-time. This solution is not suitable for the internet condition in Indonesia, which is not evenly distributed to remote villages. This study proposes to use a mobile application that can store data on mobile devices. When the internet connection is unavailable, it can be sent later when it is available again. In this study, data obtained that the condition of the meter recorder from 672 customers, 37 water meters recorder is damaged. In addition, water meter data is also obtained for the following month's bill and data on average water usage of 10,661m3 per month. With these data, it is found that the minimum water requirement is 10,661 m3 per month. It is hoped that the application for billing management and recording of PAMDES water meters in Sindangsari village, Cikoneng sub-district, Ciamis district can help increase PAMDES management capacity.
随着Sindangsari人口的增长,这个村庄的用水需求也在增加。因此,该村的饮用水公司(PAMDES)必须能够管理可用的水,以满足公众生活的需要。现在,自来水公司仍在手动收集和记录水表。考虑村庄的用水情况是非常危险的,因为官员在记录水表值时可能会犯人为错误。当水表记录仪损坏时,官员会估计水表的值。需要一个应用程序来管理账单和记录水表,以避免在之前的研究中使用物联网(IoT)或必须实时在线发送到服务器的移动应用程序来避免这种情况。这种解决方案不适合印尼的互联网条件,因为印尼的互联网并不均匀地分布在偏远的村庄。这项研究建议使用一种可以在移动设备上存储数据的移动应用程序。当互联网连接不可用时,可以在以后再次可用时发送。在本研究中,获得的数据表明,672名客户的水表记录仪状况,37名水表记录仪损坏。此外,还获得了下个月账单的水表数据,以及每月10661m3的平均用水量数据。根据这些数据,可以发现每月最低需水量为10661 m3。希望在Ciamis区Cikoneng街道Sindangsari村申请PAMDES水表的计费管理和记录,有助于提高PAMDES的管理能力。
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引用次数: 0
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