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IT governance evaluation on educational institutions based on COBIT 5.0 framework 基于COBIT 5.0框架的教育机构IT治理评价
Pub Date : 2017-11-01 DOI: 10.1109/CONMEDIA.2017.8266030
Dym Zefanya Darmawan, Wella
This study analyzes and identifies the compatibility of COBIT 5.0 framework to educational institutions in Indonesia. The research approach used is qualitative by doing in-depth-interview to the 5 experts and analyzed enterprise goals each educational institutions. Interviewees for this research have COBIT5 certification. Result of this research, there are 12 processes COBIT 5.0 have most appropriate for educational institutions, among others: APO 01 (Manage the IT Management Framework), APO 07 (Manage Human Resource), EDM 02 (Ensure Benefits Delivery), APO 04 (Manage Innovation), EDM 01 (Ensure Governance Framework Setting and Maintenance), APO 02 (Manage Strategy), APO 03 (Manage Enterprise Architecture), APO 05 (Manage Portfolio), APO 08 (Manage Relationships), APO 11 (Manage Quality), BAI 01 (Manage Programs and Projects). Based on the results of this research, COBIT 5.0 framework can support IT governance of educational institutions but still need other frameworks, like ITIL, TOGAF, and CMMI to support more reliable and manageable IT governance.
本研究分析并确定COBIT 5.0框架对印尼教育机构的兼容性。采用定性研究方法,对5位专家进行深度访谈,分析各教育机构的企业目标。本次调研的受访者均获得COBIT5认证。研究结果表明,COBIT 5.0最适合教育机构的流程有12个,其中包括:APO 01(管理IT管理框架),APO 07(管理人力资源),EDM 02(确保利益交付),APO 04(管理创新),EDM 01(确保治理框架设置和维护),APO 02(管理战略),APO 03(管理企业架构),APO 05(管理投资组合),APO 08(管理关系),APO 11(管理质量),BAI 01(管理计划和项目)。根据这项研究的结果,COBIT 5.0框架可以支持教育机构的IT治理,但仍然需要其他框架,如ITIL、TOGAF和CMMI来支持更可靠和可管理的IT治理。
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引用次数: 7
“Panawa” animation movement design: Rat character with human personality “帕纳瓦”动画动作设计:具有人类个性的老鼠角色
Pub Date : 2017-11-01 DOI: 10.31937/ULTIMART.V10I1.767
E. Aulia, Christian Aditya
Good animation movie needs to be communicative and deliver its meaning to the audience. One of the most important aspects is to design an effective movement for the animation. In movement, the thoughts and characteristics of a character are shown. Expression of a characters can be seen through their movement and body gestures. Body gestures show us an expression, emotions, traits, thoughts, and each different characters. Characters do t move effectively if the movement does t correspond to its characteristics. To understand the characteristics we need to understand each characters physiology, sociology, and psychology. In this research, the author explains and analyze the process of designing a rat movement with a human personality.
好的动画电影需要具有沟通能力,并将其意义传达给观众。其中最重要的一个方面是为动画设计一个有效的运动。在运动中,一个人物的思想和特征表现出来。人物的表情可以通过他们的动作和肢体动作来表现。肢体动作向我们展示了一种表情、情感、特征、思想和每一个不同的特征。如果动作不符合角色的特征,那么角色就不能有效地移动。为了理解这些特征,我们需要了解每个角色的生理、社会学和心理学。在这项研究中,作者解释和分析了设计具有人类个性的老鼠运动的过程。
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引用次数: 1
Improvement of term weight result in the information retrieval systems 关键词权重的改进导致了信息检索系统的发展
Pub Date : 2017-11-01 DOI: 10.1109/CONMEDIA.2017.8266040
Amril Mutoi Siregar, Adam Puspabhuana
Now finding relevant information is absolutely needed by users of the information. Actually, finding relevant information is more difficult than just looking for information. The presence information retrieval (IR) system is a system for automatically searching the relevant information to the user needs, which is expressed in the required query, and this query will be used as an input and processed by IR system and then will get relevant documents to the required query. One of methods of finding relevant information by query is term weighting by both query and document. The commonly used methods are the term weighting of local and global weighting, while the local term weighting algorithms that are used such as TF, TF logarithmic, binary TF and augmented TF and global weighting is IDF, IDFP, IDFB. In this research, besides of comparison of term weighting algorithms, it is also proposed new improvement in term weighting algorithms by adding global weight value that changes base 10 logarithmic to base 2 logarithmic and adds the number 1 in the global term weighting IDFP. Measurements result of this research are Precision, Recall and NIAP. In This research, the best result for precision and NAIP have been performed by new propose term weighting algorithms. After compare and analyze the result of the weighting algorithms. It is necessary to combine the weighting with semantic algorithms so that it will get better result.
现在查找相关信息是信息使用者绝对需要的。事实上,找到相关信息比仅仅寻找信息要困难得多。存在信息检索(IR)系统是一种自动搜索用户需要的相关信息的系统,用户需要的信息以所需查询的形式表达出来,该查询作为输入,由IR系统进行处理,得到所需查询的相关文档。通过查询查找相关信息的方法之一是对查询和文档进行术语加权。常用的方法是局部加权和全局加权的术语加权,而使用的局部术语加权算法如TF、TF对数、二进制TF和增广TF和全局加权是IDF、IDFP、IDFB。本研究除了对术语加权算法进行比较外,还对术语加权算法提出了新的改进,即增加全局权重值,将以10为基数的对数改为以2为基数的对数,并在全局术语加权IDFP中增加数字1。本研究的测量结果为Precision、Recall和NIAP。在本研究中,新提出的术语加权算法在精度和NAIP方面取得了最好的结果。并对各加权算法的结果进行了比较和分析。为了得到更好的结果,有必要将权重与语义算法相结合。
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引用次数: 2
Comparison analysis of passive repeater links prediction using methods: Barnett Vigants & ITU models 利用Barnett Vigants和ITU模型进行无源中继器链路预测的比较分析
Pub Date : 2017-11-01 DOI: 10.1109/CONMEDIA.2017.8266046
A. Hikmaturokhman, Ade Wahyudin, Alia S. Yuchintya, T. A. Nugraha
Microwave is a kind of wireless communication using radio link transmission at high frequency medium between two base stations in cellular systems. Microwave link should be line of sight (LOS) between transmitter and receiver (no obstacle). But, in the real case, there are some obstacles in microwave link between two base stations. Therefore, this paper uses a microwave passive repeater to solve the obstacle problems. The passive repeater is used to repeat information signals by changing the direction of the radio link transmission. This paper implements Barnett Vigants and ITU-R P.530–7/8 methods in passive repeater using software simulation. The difference between two methods is the availability value due to multipath and unavailability value due to rain. On a microwave transmission network using the Barnett Vigants method, resulting higher unavailability value than the use of ITU-R method P.530 7/8. The unavailability value using Barnett Vigants method obtained was 0.023%, it means the outage time of link microwave is 7244 second per year. If compared with metode ITU-R P.530 7/8 method, the unavailability was 0.000087 % or outage time system is for 26 second per year. So the availability using ITU-R P.530 7/8 method is 99. 9999133%.
微波是蜂窝系统中两个基站之间以高频介质进行无线链路传输的一种无线通信方式。微波链路应在发射机和接收机之间的视线范围内(无障碍物)。但是,在实际情况中,两个基站之间的微波链路存在一些障碍。因此,本文采用微波无源中继器来解决障碍物问题。无源中继器通过改变无线电链路传输的方向来重复信息信号。本文采用软件仿真的方法实现了无源中继器中的Barnett Vigants和ITU-R P.530-7/8方法。两种方法的区别是由于多路径导致的可用值和由于下雨导致的不可用值。在微波传输网络上使用Barnett Vigants方法,产生比使用ITU-R方法P.530 7/8更高的不可用值。利用Barnett Vigants法得到的不可用性值为0.023%,即链路微波中断时间为7244秒/年。与ITU-R P.530 7/8方法相比,系统的不可用率为0.000087%,中断时间为每年26秒。因此,使用ITU-R P.530 7/8方法的可用性为99。9999133%。
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引用次数: 6
The implementation of eigenface algorithm for face recognition in attendance system 特征脸算法在考勤系统中人脸识别的实现
Pub Date : 2017-11-01 DOI: 10.1109/CONMEDIA.2017.8266042
Vincentius Kurniawan, Arya Wicaksana, Maria Irmina Prasetiyowati
Technology advancement has brought in mobility and flexibility into the workplaces in contrast to the old days. Workers are demanded to perform their job at places other than their office. The well-known long-established attendance systems that are widely used in workplaces are heavily depending on technologies such as the Radio Frequency Identification (RFID) and fingerprint. Both technologies have limitation especially when it comes to flexibility and mobility. Thus, this research proposes an attendance system that addresses the mentioned condition. The attendance system is built using Android and web technologies with geolocation extraction feature and biometric technology: the face recognition. The Eigenface algorithm is chosen for face recognition process in the system. In addition to that, Euclidean distance is used for calculate the distance between input image and the training image. There are variables in this research that may disturb the recognition process: lighting, distance between the face and the camera, and hardware specifications, which are not taken into consideration. Based on the implementation and testing process, the overall accuracy of the system is 86.67%.
与过去相比,技术进步给工作场所带来了流动性和灵活性。工人们被要求在办公室以外的地方工作。众所周知,在工作场所广泛使用的考勤系统在很大程度上依赖于无线射频识别(RFID)和指纹等技术。这两种技术都有局限性,尤其是在灵活性和移动性方面。因此,本研究提出了一个解决上述情况的考勤系统。考勤系统采用Android和web技术构建,具有地理位置提取功能和生物识别技术:人脸识别。人脸识别过程采用特征脸算法。此外,还使用欧几里德距离来计算输入图像与训练图像之间的距离。本研究中有一些变量可能会干扰识别过程:光照、人脸与相机之间的距离以及硬件规格,这些都没有被考虑在内。根据系统的实现和测试过程,系统的总体准确率为86.67%。
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引用次数: 6
Maturity levels of academic information services of higher education using IT governance 利用IT治理的高等教育学术信息服务成熟度
Pub Date : 2017-11-01 DOI: 10.1109/CONMEDIA.2017.8266031
Sandy Kosasi, Vedyanto, I. Yuliani
Apart from processing academic data, IT application portfolios are used to support the three main duties of higher education. Structured ones are, thus, necessary. Using saturation sampling, this research engaged 30 private higher education in Pontianak, Indonesia in which each was represented by 3 respondents. The instruments were questionnaires including processes and levels provided with Guttman Scales. The research aimed to cognize gap values and recommended a new IT governance model with expected maturity levels measured through COBIT 4.1 Framework. DS (Delivery and Support) process was the focus. Results indicate that the lowest values of maturity levels (2.265 and 2.338) are respectively at DS5 and DS7 processes. The average (3.251) reflects that current IT governance is at Level 3 (defined process). Proposed recommendation models of DS5 process show the relationship between input control objectives (PO2, PO3, PO9, AI2, and DS1) and output control objectives (DS8, DS7, ME1, AI6, PO9, and DS11). Meanwhile, DS7 process has the relationship between input control objectives (PO7, AI4, DS1, DS5, and DS8) and output control objectives (ME1 and AI4).
除了处理学术数据外,资讯科技应用程序组合还用于支持高等教育的三项主要职责。因此,结构化的文件是必要的。本研究采用饱和抽样的方法,对印度尼西亚Pontianak的30所私立高等教育进行了调查,其中每所学校有3名受访者。这些工具是问卷,包括古特曼量表提供的过程和水平。该研究旨在认识差距值,并推荐了一种新的IT治理模型,该模型具有通过COBIT 4.1框架测量的预期成熟度级别。DS(交付和支持)过程是重点。结果表明,在DS5和DS7过程中,成熟度水平的最低值分别为2.265和2.338。平均值(3.251)反映了当前的IT治理处于第3级(定义的过程)。提出的DS5过程推荐模型显示了输入控制目标(PO2、PO3、PO9、AI2和DS1)与输出控制目标(DS8、DS7、ME1、AI6、PO9和DS11)之间的关系。同时,DS7过程具有输入控制目标(PO7、AI4、DS1、DS5、DS8)与输出控制目标(ME1、AI4)之间的关系。
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引用次数: 9
The mediation effect of intrinsic and extrinsic motivation on generation Y: An analysis of mobile advertising attitudes 内在动机和外在动机对Y世代的中介作用:移动广告态度分析
Pub Date : 2017-11-01 DOI: 10.1109/CONMEDIA.2017.8266043
Arie Kusumawati
Y generation has been at the forefront of adopting technology and interacting more with mobile devices. Mobile advertising is considered the application of this technology. Many firms have embraced this, although studies reveal that consumer have a negative attitude towards it. This is why this study was conducted, as to obtain new information if generation Y has the similar attitude. This study examines the factors that influence consumers' attitudes toward mobile advertising. The authors analyze timeliness, localization, and personalization of the advertisement message as antecedents of extrinsic motivation, as well as consumer innovativeness and perceived enjoyment as antecedents of intrinsic motivation. Using partial least square, this study analyzes the conceptual model with a sample of 160 mobile phone users that categorized as Y generation. The result of this study showed that both intrinsic and extrinsic motivations mediate the effects of the advertising message's characteristics on mobile phone users' attitudes toward mobile advertising. This study may provide a new perspective of a generation's attitude on perceiving mobile advertising, especially in Indonesia.
Y世代一直处于采用技术和更多地与移动设备互动的最前沿。移动广告被认为是这一技术的应用。尽管研究表明消费者对此持否定态度,但许多公司已经接受了这一做法。这就是为什么要进行这项研究,以获得新的信息,如果Y一代有类似的态度。本研究探讨了影响消费者对移动广告态度的因素。作者分析了广告信息的及时性、本地化和个性化作为外在动机的前因变量,以及消费者的创新性和感知享受作为内在动机的前因变量。本研究使用偏最小二乘法,以160个被归类为Y世代的手机用户为样本,分析了概念模型。本研究结果表明,广告信息特征对手机用户移动广告态度的影响既有内在动机,也有外在动机。这项研究可能会为一代人对移动广告的看法提供一个新的视角,尤其是在印度尼西亚。
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引用次数: 3
Determining single tuition fee of higher education in Indonesia: A comparative analysis of data mining classification algorithms 印度尼西亚高等教育单一学费的确定:数据挖掘分类算法的比较分析
Pub Date : 2017-11-01 DOI: 10.1109/CONMEDIA.2017.8266041
Muhammad Nur Yasir Utomo, A. E. Permanasari, Eddy Tungadi, I. Syamsuddin
Student's Single Tuition Fee or Uang Kuliah Tunggal (UKT) is a subsidy policy in higher education by the Indonesian government. This policy regulates the tuition fees incurred by each student at each semester in every higher education institutions. Since the cost of UKT expenses is influenced by the financial ability of each student, therefore the cost of education among students must be grouped into several classes. Until recently, there has been no standard to make such classification whereas such determination is an important task to solve by every higher institution in Indonesia. This study aims to compare five data mining classification algorithms (Gaussian Naïve Bayes, Multinomial Naïve Bayes, Bernoulli Naïve Bayes, Decision Tree and SVM) to find the best algorithm for the case of determining the UKT classes. The experiment is conducted using 230 training data and 10-fold cross-validation evaluation. Based on the result, Decision Tree managed to obtain average accuracy value of 0.814 or 81.4%. Finally, Decision Tree is used to classify the UKT classes of3258 data of students.
学生单一学费(Uang Kuliah Tunggal, UKT)是印尼政府对高等教育的一项补贴政策。这一政策规定了每个高等教育机构每个学生每学期的学费。由于UKT费用的成本受到每个学生的经济能力的影响,因此学生之间的教育成本必须分为几个类。直到最近,还没有进行这种分类的标准,而这种确定是印度尼西亚每个高等院校都要解决的重要任务。本研究旨在比较五种数据挖掘分类算法(高斯Naïve贝叶斯、多项Naïve贝叶斯、伯努利Naïve贝叶斯、决策树和支持向量机),以找到确定UKT类别的最佳算法。实验使用230个训练数据和10倍交叉验证评估进行。基于结果,Decision Tree获得的平均准确率值为0.814或81.4%。最后利用决策树对3258个学生数据的UKT类进行分类。
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引用次数: 9
Implementation of decision support system for campus promotion management using fuzzy multiple analytic decision making (FMADM) method (Case study: Universitas multimedia nusantara) 基于模糊多元分析决策(FMADM)方法的校园推广管理决策支持系统的实现(以Universitas multimedia nusantara为例)
Pub Date : 2017-11-01 DOI: 10.1109/CONMEDIA.2017.8266034
Enrico Siswanto, Adiputra Wijaya Katili
Campus promotion program is the annual routine program conducted by Universitas Multimedia Nusantara (UMN). Sometimes, Marketing Department in UMN faced a problem in choosing the priority of the schools that want to visited by UMN for promotions. The purpose of this research is to find a suitable method from FMADM to resolve the problem. The methods from FMADM consist of SAW (Simple Additive Weighting), AHP (Analytical Hierarchy Process), and WP (Weighted Product). Those three methods are compared to find out which method is suitable for making a decision. From the results, SAW is the suitable method comparing with the others in choosing the priority of the schools that want to visited by UMN for promotions. SAW method can achieve more consistent results and accordance with the decision from UMN marketing team. Finally, prototype of the prediction system using Simple Additive Weighting (SAW) was made in this research.
校园推广计划是马来西亚多媒体大学(UMN)每年进行的例行项目。有时候,UMN市场部在选择UMN想要访问的学校进行推广时,会遇到一个问题。本研究的目的是从FMADM中寻找一种合适的方法来解决这个问题。FMADM方法包括简单加性加权法(SAW)、层次分析法(AHP)和加权积法(WP)。对这三种方法进行比较,找出哪一种方法更适合做决策。从结果来看,与其他方法相比,SAW是选择UMN希望访问的学校进行推广的优先级的合适方法。SAW方法可以获得更一致的结果,并符合UMN营销团队的决策。最后,建立了基于简单加性加权(SAW)的预测系统原型。
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引用次数: 8
Multi-floor indoor positioning mobile application using earth's magnetic field (Case study: Universitas multimedia nusantara) 利用地磁场的多层室内移动定位应用(案例研究:Universitas multimedia nusantara)
Pub Date : 2017-11-01 DOI: 10.1109/CONMEDIA.2017.8266044
Devin Ryan Riota, M. B. Kristanda, Maria Irmina Prasetiyowati
Global Positioning System (GPS) is not the only technology used to provide location information. GPS which is able to provide accurate positioning in the outdoor environment is unable to provide the same result in an indoor environment. Earth's magnetic field based indoor positioning system utilizes the uniqueness of building's structure to determine position. An indoor positioning system is not only applied to single floor environment as the development of multistory buildings continue to increase, hence the intensity of earth's magnetic field which may deteriorate as height increases might affect the overall accuracy of an indoor positioning system. The application developed is based on Android, uses fingerprinting method along with k-nearest neighbors algorithm to compare magnetic values between database and sensor readings. A positioning filter based on previous location, direction, and magnetic values is used to filter data before applying the algorithm. Plane positioning experiment results in 1.75m of average distance error and 1.26m of standard deviation using 5 as the value of k. Floor estimation shows low accuracy when the application is used to estimate which floor the user is on, with an average accuracy of 31.25 percent on the first corridor, 34.38 percent on the second corridor and 51.56 percent on stairs with a lot less data. No evidence regarding the impact of height on accuracy and precision was found using Earth's magnetic field and k-nearest neighbor algorithm as there is no correlation between accuracy, precision, and height.
全球定位系统(GPS)并不是唯一用于提供位置信息的技术。GPS能够在室外环境中提供准确的定位,但在室内环境中无法提供相同的结果。基于地磁场的室内定位系统利用建筑物结构的独特性来确定位置。随着多层建筑的不断发展,室内定位系统的应用范围已不再局限于单层环境,因此随着高度的增加,地磁场的强度可能会减弱,从而影响室内定位系统的整体精度。该应用程序是基于Android系统开发的,使用指纹识别方法和k近邻算法来比较数据库和传感器读数之间的磁性值。在应用算法之前,使用基于先前位置,方向和磁性值的定位滤波器对数据进行过滤。平面定位实验结果显示,以5为k值,平均距离误差为1.75m,标准差为1.26m。当应用程序用于估计用户所在楼层时,楼层估计精度较低,在数据较少的情况下,第一走廊的平均精度为31.25%,第二走廊的平均精度为34.38%,楼梯的平均精度为51.56%。使用地球磁场和k近邻算法没有发现关于高度对精度和精度的影响的证据,因为精度、精度和高度之间没有相关性。
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引用次数: 1
期刊
2017 4th International Conference on New Media Studies (CONMEDIA)
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