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2020 International Seminar on Application for Technology of Information and Communication (iSemantic)最新文献

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Accelerating and Optimizing Digital Businesses through IT Governance 通过IT治理加速和优化数字业务
Sandy Kosasi, Vedyanto, I. Dewa Ayu Eka Yuliani
A disruption era has led to the transformation of digital businesses. This circumstance brings the complexity of managing such businesses to family companies. Capabilities to reach the fine performance of acceleration and optimization of utilizing application portfolios of IT services are unsuccessful yet. This survey study involved a total of 102 family companies running the digital businesses in Pontianak, West Kalimantan, Indonesia, as the sample. Questionnaires were directly completed by the heads. IT processes sorted based on levels were displayed on them. Finding out the maturity levels of IT governance, COBIT 4.1 Framework was referred to. Likert Scales were in use for data processing. Research objectives were formulated to determine gap values and propose novel IT governance in order to obtain the expected maturity levels. Outcomes show that PO10, PO9, PO8, PO7, PO2, DS1, DS2, DS5, and DS7 are IT processes with the lowest maturity values in the second level (repeatable but intuitive). Here, PO8 (management of quality) and DS7 (education and training of users) are those with the least values (2.287 and 2.238).
一个颠覆性的时代导致了数字业务的转型。这种情况给家族企业带来了管理此类业务的复杂性。实现利用IT服务的应用程序组合的加速和优化的优良性能的能力尚未成功。本调查研究以印尼西加里曼丹Pontianak地区经营数字业务的102家家族企业为样本。问卷由校长直接填写。上面显示了按级别排序的IT流程。找出IT治理的成熟度级别,参考COBIT 4.1框架。李克特量表用于数据处理。研究目标是确定差距值,并提出新的IT治理,以获得预期的成熟度水平。结果显示,PO10、PO9、PO8、PO7、PO2、DS1、DS2、DS5和DS7是在第二级(可重复但直观)中成熟度值最低的IT流程。其中PO8(质量管理)和DS7(用户教育和培训)的值最小,分别为2.287和2.238。
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引用次数: 2
Power Flow Based Monitoring Of State Estimation Using The Weighted Least Square 基于潮流监测的加权最小二乘状态估计
Andi Nur Putri, O. Penangsang, Mochammad Apriyadi Hadi Sirad
his current study aims to analyzing the results of measurements of Remote Terminal Unit and detect bad measurement on the bus by using State Estimation. The research was conducted at Load Control Unit of PT. PLN SULSELRABAR (South, Southeast, and West Sulawesi, hereafter SULSELRABAR). The data used in the analysis were data of channel impedance, and the results of RTU measurements, including data about bus, voltage, MVAR injection, and load data in the electric system of SULSELRABAR. The results reveal that from 37 buses in the system, 22 buses can be monitored via the RTU, and 30 buses can be estimated by using the estimation method with Weighted Least Square (WLS). Based on the results of state estimation, bad measurements occurred on the bus of 27 and of 29, with error levels of 0.0575 and 0.0871 respectively.
他目前的研究旨在分析远程终端单元的测量结果,并利用状态估计方法检测总线上的不良测量。该研究是在SULSELRABAR(南、东南和西苏拉威西,以下简称SULSELRABAR) PT. PLN的负荷控制单元进行的。分析中使用的数据是通道阻抗数据和RTU测量结果,包括SULSELRABAR电气系统中母线、电压、MVAR注入和负载数据。结果表明,在系统的37辆公交车中,有22辆可以通过RTU进行监控,30辆可以通过加权最小二乘估计方法进行估计。根据状态估计的结果,在27和29总线上出现了不良测量,误差水平分别为0.0575和0.0871。
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引用次数: 0
Interconnection of Battery Charging Station and Renewable Energy in Electrical Power System 电力系统中电池充电站与可再生能源的互联
L. Gumilar, A. Afandi, A. Aripriharta, Mokhammad Sholeh
In the future, vehicles that use fossil fuels will be replaced by electrical vehicles. The reason are fossil energy sources will be focused on electricity generation and besides that the availability of fossil energy is also running low. Another reason to prefer electrical vehicles is not produce air pollution or can be called environment friendly vehicle. There is an additional instrument to support the existence of electrical vehicles, namely battery charging station (BCS). Electrical vehicles use batteries as electricity storage. There are several electrical vehicles use hybrid system like uses battery, and solar panels on it to produce electrical energy. Based on these backgrounds, this article will discuss the about interconnection of battery charging station and renewable energy in electrical power system. Types of renewable energy in this paper are photovoltaic and wind power plant. Both of these power plants have role as distributed generation to help power system charge the BCS. In this study using standard 14 bus IEEE electrical power system. In the test method, several study cases will be made to be compared. The first study case is to analyze changes in voltage in the electric power system. The second study case is to analyze short circuit in the distributed generation to electrical power system. The final results of all scenarios will be compared to determine the impact of chargers, photovoltaics, and wind power plants when connected to the electric power system.
在未来,使用化石燃料的车辆将被电动汽车所取代。原因是化石能源将集中在发电上,而且化石能源的可用性也越来越低。另一个喜欢电动汽车的原因是不会产生空气污染或可以称为环保汽车。还有一个额外的工具来支持电动汽车的存在,即电池充电站(BCS)。电动汽车使用电池作为电力存储。有几种电动汽车使用混合动力系统,如使用电池和太阳能电池板在其上产生电能。基于这些背景,本文将对电力系统中电池充电站与可再生能源的互联进行探讨。本文研究的可再生能源类型为光伏发电和风力发电。这两个发电厂都有分布式发电的作用,帮助电力系统给BCS充电。本研究采用IEEE标准14总线供电系统。在测试方法中,将制作几个研究案例进行比较。第一个研究案例是分析电力系统中电压的变化。第二个研究案例是分析分布式发电系统中的短路问题。将对所有方案的最终结果进行比较,以确定充电器、光伏和风力发电厂在连接到电力系统时的影响。
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引用次数: 0
Comparison of Scheduling Methods for Optimization Production Processes on PT. P PT. P生产过程优化调度方法的比较
Alifa Izzan Akhsani, R. Sarno, Dwi Sunaryono, Tantya A. Giranita, K. R. Sungkono
This study aims to determine scheduling methods to optimize the manufacturing production process. One of which way to optimize the manufacturing process is to ensure that the production capacity is used optimally. Scheduling planning is a tool to allocate capacity and resources for the process from time to time. The author proposes the earliest due date (EDD) scheduling method to be compared with critical ratio (CR) and first come first serve (FCFS) method for optimizing the manufacturing production process on PT.P. Several tests are conducted to prove the performance of the scheduling method, with regard to scheduling parameters and their impact on the manufacturing production process. The scheduling parameters referred to are Flow Time, Makespan, Tardiness, and Late Jobs. For its effect on the manufacturing production process, the utility value of the machine capacity used will be measured while using the scheduling method. The test results obtained from the earliest due date method (EDD) succeeded in producing the value of makespan 3.41% shorter, and the mean flow time is 0.70% shorter. This method also improved the utility of the machine, on average 2.34% better than other methods without increasing the mean tardiness and the number of late jobs overall.
本研究旨在确定优化制造生产过程的调度方法。优化生产过程的方法之一就是保证生产能力得到最优的利用。调度计划是不时为流程分配容量和资源的工具。提出了最早到期日(EDD)调度方法,并将其与临界比(CR)和先到先得(FCFS)方法进行比较,以优化生产过程。针对调度参数及其对制造生产过程的影响,对调度方法的性能进行了验证。调度参数包括“Flow Time”、“Makespan”、“Tardiness”和“Late Jobs”。由于其对制造生产过程的影响,在使用调度方法时,将测量所使用的机器容量的效用值。采用最早到期日法(EDD)的试验结果成功地使makespan值缩短了3.41%,平均流动时间缩短了0.70%。该方法还提高了机器的利用率,在不增加平均延迟和延迟作业总数的情况下,比其他方法平均提高2.34%。
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引用次数: 1
Extrovert and Introvert Classification based on Myers-Briggs Type Indicator(MBTI) using Support Vector Machine (SVM) 基于MBTI的支持向量机外向与内向分类研究
Muhammad Nurfauzi Sahono, Fiqie Ulya Sidiastahta, G. F. Shidik, A. Z. Fanani, Muljono, Safira Nuraisha, Erba Lutfina
Personality is a characteristic of each individual who describes their behavior and influences their interactions with other individuals. Every individual has various way to express their feelings, one of them through social media. On social media, humans can create and share a variety of content about various objects, describe activities, to express their thoughts, opinions, and feelings. This study aims to classify human personalities based on the MBTI method that focused on Extrovert and Introvert class, seen from their tweets. Humans able to better understand and improve themselves by recognizing their weaknesses and strengths. The dataset used in this study is a public dataset from Kaggle, consists of 8676 data that posted on Twitter. Various feature combinations have been compared using Support Vector Machine (SVM) classifier. The deployment of solution have been described. Accuracies up to 84.07% were achieved using the methods detailed in this work.
个性是每个人的一种特征,它描述了他们的行为,并影响了他们与他人的互动。每个人都有不同的方式来表达自己的感受,其中之一就是通过社交媒体。在社交媒体上,人类可以创建和分享关于各种对象的各种内容,描述活动,表达自己的想法,观点和感受。本研究旨在基于MBTI方法对人的性格进行分类,该方法主要关注外向和内向两类人,从他们的推特上看。人类能够通过认识自己的弱点和长处来更好地了解和提高自己。本研究使用的数据集是来自Kaggle的公共数据集,由发布在Twitter上的8676个数据组成。使用支持向量机(SVM)分类器对各种特征组合进行了比较。描述了解决方案的部署。使用本工作详细介绍的方法,准确率达到84.07%。
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引用次数: 5
Papaya Fruit Type Classification using LBP Features Extraction and Naive Bayes Classifier 基于LBP特征提取和朴素贝叶斯分类器的木瓜果实类型分类
C. A. Sari, Indah Puspa Sari, E. H. Rachmawanto, De Rosal Ignatius Moses Setiadi, Ellen Proborini, Bijanto, R. R. Ali, Ifan Rizqa
This research proposes the classification method of papaya types based on leaf images using the Naïve Bayes classifier and LBP feature extraction. Papaya leaves are used because they have a unique pattern and texture from their leaf bones, besides leaf-based classification can be done before papaya trees produce fruit. In the preprocessing process, three stages are carried out in which conversion to grayscale, image adjustment and resize, to produce a good LBP feature extraction. The resize process is useful to reduce computational time during the training and testing process, where this process is done at the end of the preprocessing process to get a better pixel value. Image adjustment is used to sharpen the papaya leaf bone which is the main pattern of the papaya leaf. At the feature extraction stage, an image zoning process is carried out, by dividing the image into nine zones, to produce nine LBP features for each image. In the implementation phase, a total of 150 papaya leaf images were used which consisted of 125 training images and 25 testing images. Based on the results of the classification using the Naïve Bayes classifier by using nine zones each with 128-pixel cell size and image adjustment resulting 96% accuracy. The results of this accuracy are better than using cell sizes 32 and 64 and without image adjustment.
本研究提出了基于Naïve贝叶斯分类器和LBP特征提取的木瓜叶片图像类型分类方法。使用番木瓜叶子是因为它们的叶骨具有独特的图案和纹理,此外,基于叶子的分类可以在番木瓜树结果之前完成。在预处理过程中,进行了灰度转换、图像调整和大小调整三个阶段,以产生良好的LBP特征提取。调整大小过程有助于减少训练和测试过程中的计算时间,其中该过程在预处理过程结束时完成,以获得更好的像素值。图像调整是用来锐化木瓜叶骨,这是木瓜叶的主要图案。在特征提取阶段,对图像进行分区处理,将图像划分为9个区域,为每张图像生成9个LBP特征。在实施阶段,总共使用了150张木瓜叶片图像,其中包括125张训练图像和25张测试图像。根据分类结果,使用Naïve贝叶斯分类器使用9个区域,每个区域128像素的单元大小和图像调整,得到96%的准确率。这种精度的结果优于使用单元格大小为32和64且不进行图像调整的结果。
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引用次数: 4
Optical Character Recognition for Hangul Character using Artificial Neural Network 基于人工神经网络的韩文光学字符识别
Selly Oktaviani, C. A. Sari, Eko Hari Rachmawanto, De Rosal Ignatius Moses Setiadi
Korean language is one of the languages that are becoming widely known in the world, along with the occupation of Korean music (K-POP). Hangul is a character used to write Korean, which is not like Latin, which is relatively more easily understood by the majority of people in this world. This research aims to analyze the performance of an Artificial Neural Network (ANN) in recognizing Hangul characters with a simplified optical character recognition (OCR) method. The OCR process is carried out by entering characters in a 15x13 tile area, then the characters that enter fully on the tile will be changed to value 1 while others become 0 values so that a binary image is generated. The next step is the character pattern crafting process towards the field. The results were recognized by ANN, in an experiment using four types of training data composition: testing, namely 50%: 50%, 60%: 40%, 70%: 30%, and 80%: 20%. The dataset used is 40 Hangul characters in which there are 10 sample data each, so in total there are 400 data. Based on testing, the highest accuracy is produced with a composition of 50%: 50% where the accuracy is 97%.
随着韩国音乐(K-POP)的占领,韩国语成为世界上广为人知的语言之一。韩文是一种书写韩国语的文字,与世界上大多数人比较容易理解的拉丁语不同。本研究旨在分析人工神经网络(ANN)在简化光学字符识别(OCR)方法中识别韩文字符的性能。OCR过程是通过在15x13的贴图区域中输入字符来执行的,然后在贴图上完全输入的字符将被更改为值1,而其他字符将变为0值,从而生成二值图像。下一步是针对该领域的角色模式制作过程。在实验中,使用四种训练数据组成测试,即50%:50%、60%:40%、70%:30%和80%:20%,对结果进行人工神经网络识别。使用的数据集是40个韩文字符,每个字符有10个样本数据,所以总共有400个数据。根据测试,最高的准确度是50%的成分:50%的准确度是97%。
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引用次数: 2
Performance Evaluation on VANET Routing Protocols in The Way Road of Central Jakarta using NS-3 and SUMO 基于NS-3和SUMO的雅加达市中心道路VANET路由协议性能评价
Ricky Aji Pratama, Linda Rosselina, Diah Sulistyowati, Riri Fitri Sari, R. Harwahyu
The Vehicular Ad-hoc Networks (VANET) technology is still an open research area on wireless networks. In overcoming the dynamic changes in topology and obtaining reliable network quality, the selection of the routing protocol type and the type of propagation loss model is critical within the VANET Design. This research aims to analyze the performance of OLSR, AODV, DSDV, and DSR routing protocol in relation to the variation of speed and the type of propagation loss model scenarios. Those Scenarios are organized according to the number of nodes, packet size, duration of simulation time, simulation speed, and the propagation loss model environment. As a result of this research, this paper analyzes the simulation result of receive packet rate, packet receive, throughput, and goodput using NS3 and SUMO simulators. The simulation result showed that the variance of speed used (30 m/s, 50 m/s, 100 m/s) has no significant influence in choosing the best ad hoc routing protocol. Nevertheless, the considerable impact comes from the variance of the propagation loss model used. Our experiment shows that each propagation loss model has a unique routing protocol to get the best performance. The simulation results indicate that the Friis Propagation Loss Model has excellent performance and only is shown by OLSR protocol while other protocols have quite low values. Meanwhile, replacement of the propagation loss model parameter to both The Two Way and The Nakagami-m Fast Fading Propagation Loss Model makes some protocols notably AODV, DSDV and DSR show better performance than before when they are adopting The Friis Propagation Loss Model.
车载自组织网络(VANET)技术仍然是无线网络领域一个开放的研究领域。为了克服拓扑结构的动态变化,获得可靠的网络质量,路由协议类型和传播损耗模型类型的选择是VANET设计的关键。本研究旨在分析OLSR、AODV、DSDV和DSR路由协议在速度变化和传播损耗模型类型场景下的性能。这些场景根据节点数量、数据包大小、模拟时间持续时间、模拟速度和传播损失模型环境进行组织。在此基础上,本文分析了采用NS3和SUMO仿真器对接收包速率、接收包速率、吞吐量和goodput的仿真结果。仿真结果表明,使用的速率(30 m/s、50 m/s、100 m/s)的变化对选择最佳自组织路由协议没有显著影响。然而,相当大的影响来自所使用的传播损耗模型的方差。实验表明,每个传播损耗模型都有一个独特的路由协议,以获得最佳的性能。仿真结果表明,Friis传播损耗模型具有优良的性能,仅在OLSR协议中表现出来,而其他协议的值都很低。同时,将传播损耗模型参数同时替换为the Two Way和the Nakagami-m Fast衰落传播损耗模型,使得一些协议,特别是AODV、DSDV和DSR,在采用the Friis传播损耗模型时表现出了较好的性能。
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引用次数: 8
Maze Generation Based on Difficulty using Genetic Algorithm with Gene Pool 基于难度的带有基因库的遗传算法迷宫生成
Evan Kusuma Susanto, Rifqi Fachruddin, Muhammad Ihsan Diputra, D. Herumurti, A. Yunanto
Game level design is one of the most important element of developing an enjoyable video game. Besides, game with difficult and dynamic level can make players more exciting. This paper presents a new method of generating a video game level using a genetic algorithm. The proposed method is called gene pool integrates learning. This method implemented in feature selection so that this method is general enough to be used for multiple different types of games. This paper uses some training data to scan good patterns and store all of them in a gene pool. Furthermore, the genetic algorithm is used to find the combination of patterns that can produce the best result. The gene pool also records the quality of each gene so it can learn the pattern which most commonly found in multiple levels. For testing, this research develops a custom game with complicated rules that are hard to represent by a simple 2D array compared to the previously attempted work. The result of this research shows that the method can generate many complicated levels at once. Overall, levels generated using this method on average requires almost 3 times more steps to solve than the dataset.
游戏关卡设计是开发有趣电子游戏的最重要元素之一。此外,具有难度和动态水平的游戏可以使玩家更兴奋。本文提出了一种利用遗传算法生成电子游戏关卡的新方法。该方法被称为基因库集成学习。这种方法在功能选择中得以实现,因此这种方法足以用于多种不同类型的游戏。本文使用一些训练数据来扫描好的模式,并将它们全部存储在一个基因库中。在此基础上,利用遗传算法寻找能产生最佳结果的模式组合。基因库还记录每个基因的质量,以便了解在多个级别中最常见的模式。为了进行测试,本研究开发了一款带有复杂规则的自定义游戏,与之前的尝试相比,这些规则很难用简单的2D数组来表示。研究结果表明,该方法可以同时生成多个复杂层次。总的来说,使用这种方法生成的关卡平均需要比数据集多3倍的步骤来解决。
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引用次数: 5
Controlling Speed Of Brushless DC Motor By Using Fuzzy Logic Controller 用模糊控制器控制无刷直流电动机的转速
Fahrizal Auliansyah, Sutedjo, Ony Asrarul Qudsi, I. Ferdiansyah
Brushless DC motor is a type of DC motor popular in the world because it’s easy to use and maintenance free. This paper discuss-about how to control the speed of a BLDC motor by implementing a fuzzy logic controller. The BLDC motor is equipped with a 3-hall sensor to detect rotor location. The system using a six-step commutation switching method for the commutation system on the BLDC motor. The output waveform of the six-step commutation method is a square wave with 120° difference each phase. This paper uses the PWM method to control the output of a 3-phase inverter. The fuzzy logic controller is implemented in this system. The fuzzy logic controller designed consists of 2 inputs and 1 output parameter. By implementing the fuzzy logic controller that has been designed, the speed response of the BLDC motor can rotate in accordance with the specified setpoint value and stable.
无刷直流电动机是世界上流行的一种直流电动机,因为它易于使用和免维护。本文讨论了如何利用模糊控制器实现无刷直流电机的转速控制。无刷直流电机配备了一个3霍尔传感器来检测转子位置。该系统采用六步换相开关方式对无刷直流电机进行换相系统。六步换相法的输出波形为每相差120°的方波。本文采用PWM方法控制三相逆变器的输出。该系统采用模糊逻辑控制器。所设计的模糊控制器由2个输入和1个输出参数组成。通过实现所设计的模糊逻辑控制器,使无刷直流电机的转速响应能够按照指定的设定值旋转并保持稳定。
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引用次数: 5
期刊
2020 International Seminar on Application for Technology of Information and Communication (iSemantic)
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