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2018 2nd International Conference on Informatics and Computational Sciences (ICICoS)最新文献

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Capability Level at Faculty Information Technology Unit Using COBIT 5 学院信息技术单元使用COBIT的能力水平
Pub Date : 2018-10-01 DOI: 10.1109/ICICOS.2018.8621738
B. Noranita, R. Saputra, S. Adhy, Rizal Muhammad
Information technology (IT) is a very important part of an organization and is an investment value to make the organization better. The organization places IT as a matter that can support the achievement of the company's strategic plan to achieve the goals of the company's vision or mission and goals, as well as the Faculty of Science and Mathematics of the Diponegoro University (FSM UNDIP). FSM UNDIP has a vision to become a superior faculty based on research in the fields of science and mathematics and the development of its application. And one of the missions to achieve this vision is Enhancing governance efficient, accountable, transparent, fair, and integrated between sectors (good governance). IT governance in an organization aims to align IT strategy with the organization's business strategy. Without good and right governance, IT will cause problems and threats to the organization. This research aims to assess the capabilities of the IT governance process at FSM UNDIP. The framework used to assess IT governance that focuses on web-based services in FSM is this study using COBIT 5 on EDM03 and EDM04 domains, with the Self Assessment method. The results showed that the capability level of the IT governance process at FSM UNDIP in the EDM03 process was at Level 2 (Managed Process), which is an organization in carrying out IT, at this stage it has been successful and governance has been done well. Management of the planning, evaluation and adjustment processes is directed to better direction. While the EDM04 process is at level 1, the organization has successfully implemented IT processes and the goal of the IT process has been successfully achieved. The results provided are documents containing the governance of Risk Optimization and Resource Optimization management as a basis for risk and resource management references on the FSM UNDIP website. With the risk management and good resources will help organizations to make strategic decisions.
信息技术(IT)是组织的重要组成部分,是使组织变得更好的投资价值。该组织将IT视为能够支持实现公司战略计划的事项,以实现公司愿景或使命和目标,以及Diponegoro大学的科学和数学学院(FSM UNDIP)。FSM开发计划署的愿景是成为一个基于科学和数学领域的研究及其应用发展的优秀教师。实现这一愿景的任务之一是加强有效、负责、透明、公平和部门间一体化的治理(善治)。组织中的IT治理旨在使IT策略与组织的业务策略保持一致。如果没有良好和正确的治理,IT将给组织带来问题和威胁。本研究旨在评估FSM UNDIP的IT治理过程的能力。本研究使用COBIT 5在EDM03和EDM04域中使用自我评估方法,用于评估FSM中关注基于web的服务的IT治理框架。结果表明,在EDM03过程中,FSM UNDIP的IT治理过程的能力水平处于第2级(管理过程),这是一个在执行IT的组织,在这个阶段它是成功的,治理已经做得很好。规划、评价和调整过程的管理是为了更好的方向。当EDM04过程处于第1级时,组织已经成功地实现了IT过程,并且成功地实现了IT过程的目标。提供的结果是包含风险优化和资源优化管理治理的文件,作为FSM开发计划署网站上风险和资源管理参考的基础。有了风险管理和良好的资源将有助于组织做出战略决策。
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引用次数: 4
Understand TTF by Considering the Trust Factor in Adopting M-Banking 通过考虑采用移动银行的信任因素来理解TTF
Pub Date : 2018-10-01 DOI: 10.1109/ICICOS.2018.8621806
Elgarsia Setya Nugraha, R. Saputra, Dinar M. K. Nugraheni
Acceptance of mobile banking technologies was learned through the connection between the user's perception, confidence in the technology, and a fit between the current technologies with mobile banking technology. Theoretical models used are task technology fit model (TTF), unified theory of acceptance and usage of technology model (UTAUT), and the Trust variable. This study used 225 samples and partial least square (PLS) to identify which variable in TTF, UTAUT and TRUST influences in the usage of mobile banking. The result of this research shows the technology characteristics significantly influence the task technology fit. In addition, in TTF variables that significantly influence the user's behaviour intentions are the effort expectancy, performance expectancy, and social influence. As summary, this study's result can be used as a consideration when bank want to implement mobile banking's service.
通过用户的感知、对技术的信心以及当前技术与移动银行技术之间的契合度之间的联系,用户对移动银行技术的接受程度得以提高。使用的理论模型有任务技术拟合模型(TTF)、技术接受与使用统一理论模型(UTAUT)和信任变量。本研究使用225个样本和偏最小二乘(PLS)来确定TTF, UTAUT和TRUST中的哪个变量影响手机银行的使用。研究结果表明,技术特征对任务技术契合度有显著影响。此外,在TTF中,显著影响用户行为意图的变量是努力期望、绩效期望和社会影响。综上所述,本研究的结果可以作为银行想要实施手机银行服务的考虑因素。
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引用次数: 2
Neural Network Implementation of Divers Sign Language Recognition based on Eight Hu-Moment Parameters 基于8个胡矩参数的潜水员手语识别的神经网络实现
Pub Date : 2018-10-01 DOI: 10.1109/ICICOS.2018.8621642
Matt Ervin G. Mital, Herbert V. Villaruel, E. Dadios
Improvement in the aspects of human-to-human and human-to-machine (and vice-versa) communication is still needed amidst the rapid development of technology. Divers sign language, a type of communication usually done underwater is the primary focus of this paper. Human divers are always at risk due to the unpredictable and unstable condition of water. With the help of image processing and artificial neural network, recognition of 13 commonly used hand signals is implemented. The significance of this study is with regards to the extension of the capabilities of a machine to interpret commands or meanings of signals. This adds to the probability of assurance of safety of divers especially when their voice equipment fails. The aim is to show the conformity and effectivity of relating underwater communications, image processing utilizing Hu-Moments as feature extraction method, and neural network. The results are shown through graphical representations of correlation coefficients, errors and success rates of pattern recognition. This research serves as a solution, although indirect, to present technologies such that people may consider the possibility of incorporating a neural network attribute.
在科技的快速发展中,人与人之间和人与人之间(反之亦然)的沟通仍然需要改进。潜水员的手语,一种通常在水下进行的交流是本文的主要焦点。由于不可预测和不稳定的水条件,人类潜水员总是处于危险之中。利用图像处理和人工神经网络技术,实现了对13种常用手势的识别。这项研究的意义在于扩展机器解释命令或信号含义的能力。这增加了潜水员安全保证的可能性,特别是当他们的语音设备出现故障时。目的是展示相关水下通信、以胡氏矩为特征提取方法的图像处理和神经网络的一致性和有效性。结果通过模式识别的相关系数、错误率和成功率的图形表示。这项研究作为一种解决方案,尽管是间接的,但它提供了一种技术,使人们可以考虑将神经网络属性纳入其中的可能性。
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引用次数: 5
Automated Guided Vehicle Simulation Software Development using Parallel Cascade Fuzzy Method for Reaching a Target 基于并行级联模糊逼近法的自动制导车辆仿真软件开发
Pub Date : 2018-10-01 DOI: 10.1109/ICICOS.2018.8621695
Benediktus Wijayanto, A. Wibowo
Environment change is considered problem in a development process of Auto Guided Vehicle Robots. Parallel cascade fuzzy is a specialized method that developed for volatile operating environment. In the previous study, Parallel cascade fuzzy haven't implemented for reach a goal area. In this study, parallel cascade fuzzy being used by Auto Guided Vehicle robot to avoiding obstacle and reaching goal area. Another fuzzy algorithm involved in the test stage to compare the performance with Parallel Cascade Fuzzy. In the development of robot movement control system, simulation software that able to reveal a working pattern of such method can be used to facilitate the testing process.
环境变化是自动导向车辆机器人开发过程中需要考虑的问题。并联级联模糊是针对易变的工作环境而开发的一种专用方法。在以往的研究中,为了达到目标区域,并没有实现并行级联模糊。本研究将平行级联模糊算法应用于自动引导机器人避障和到达目标区域。另一种模糊算法在测试阶段与并行级联模糊算法的性能进行了比较。在机器人运动控制系统的开发中,可以使用能够揭示该方法工作模式的仿真软件来方便测试过程。
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引用次数: 2
The Implementation of Framing, Agenda-Setting, and Data Mining in Evaluation of Public Policies Case Study of the State Defense Program in Indonesia 框架、议程设置和数据挖掘在公共政策评估中的应用——以印尼国防项目为例
Pub Date : 2018-10-01 DOI: 10.1109/ICICOS.2018.8621656
A. Wadjdi, E. Sianturi
In communicating public policy, framing is a critical element in building social reality as it can help establish perceptions and contexts of the policies. This case study aims to improve understanding of how the role of monitoring and evaluation of programs for public policy through a combination of several methods. We conduct this study on public policy programs known as the state defense program policy or “Bela Negara” to investigate news sentiments and their impact, and especially to recommend the next agenda pattern. We combine the framing and agenda-setting approach aided by data mining techniques and sentiment analysis to explore important factors and patterns. We analyzed 492 newspaper content related to the policy from 2013 to 2017. The results showed six factors influencing the framing and agenda-setting. Overall, the agenda pattern based on the types and categories of framing policies under this study is highlighted. The combination of such methods can also guide policymakers in subsequent planning to sharpen the objectives of program activities or can inspire other researchers for further development.
在传达公共政策时,框架是构建社会现实的关键因素,因为它可以帮助建立对政策的看法和背景。本案例研究旨在通过多种方法的结合,提高对公共政策项目的监测和评估作用的理解。我们对被称为国家国防计划政策或“Bela Negara”的公共政策项目进行这项研究,以调查新闻情绪及其影响,特别是推荐下一个议程模式。我们将框架和议程设置方法结合起来,辅以数据挖掘技术和情感分析来探索重要因素和模式。我们分析了2013年至2017年期间与该政策相关的492份报纸内容。结果表明,影响框架和议程设置的因素有6个。总体而言,本研究强调了基于框架政策类型和类别的议程模式。这些方法的结合还可以指导决策者在随后的规划中明确项目活动的目标,或者可以激励其他研究人员进一步发展。
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引用次数: 0
Usability Testing for Batik 4.0: A Web Application for Generating 3D Batik Semarangan 可用性测试的蜡染4.0:一个Web应用程序生成3D蜡染图案
Pub Date : 2018-10-01 DOI: 10.1109/ICICOS.2018.8621843
T. G. Prahasiwi, Sandy Kurniawan, W. Satriaji, Suhartono, S. Endah, R. Kusumaningrum
Revolution of the industry has now reached the industrial 4.0 era. The development and progression of the industrial revolution have meant that a country needs to have superior products as added value in order to safeguard from the threat of global competition. Indonesia has a product advantage compared to other countries in the form of Indonesian Batik. Indonesian Batik producers are spread across several cities in Indonesia, each having their own unique characteristics, one of which is Semarang. The batik in Semarang is called Batik Semarangan. To keep abreast of the changes brought about by the industrial revolution in Indonesia, a web-based application was developed to produce 3D batik motifs using a triangle mesh. This application is called Batik 4.0. It was important to measure and test the performance and efficiency of the application in order to meet existing objectives and functional requirements of the application. Usability testing was the chosen approach used to facilitate this process and to assess how well the users could learn and use the application. Batik 4.0 was applied on comparison in two platforms in the form of a one-page website and multipage website. This study describes the general description and function of Batik 4.0, and evaluates the usability of this application to produce 3D batik motifs using a triangle mesh in the application of onepage and multipage. The results will be compared to find out which one is better for the application of Batik 4.0, whether on page or multipage. The testing technique was in the form of a survey, of which was questionnaire-based and performance-based. For compare the usability of onepage and multipage, this research use the usability attributes included learnability, satisfaction, effectiveness and efficiency. The results from the testing indicated that the multipage website to generate 3D batik motifs was better than onepage website with learnability value (81.71%), satisfaction (77.43%), effectiveness (94.64%) and efficiency (92.23 %) results.
工业革命现已进入工业4.0时代。工业革命的发展和进步意味着一个国家需要有优质的产品作为附加价值,以保护自己免受全球竞争的威胁。印尼蜡染相对于其他国家具有产品优势。印尼蜡染生产商分布在印尼的几个城市,每个城市都有自己独特的特点,三宝垄就是其中之一。三宝垄的蜡染被称为三宝垄蜡染。为了跟上印尼工业革命带来的变化,我们开发了一个基于网络的应用程序,使用三角形网格制作3D蜡染图案。这个应用程序叫做蜡染4.0。为了满足应用程序的现有目标和功能需求,度量和测试应用程序的性能和效率是很重要的。可用性测试是用来促进这一过程并评估用户学习和使用应用程序的程度的方法。Batik 4.0以单页网站和多页网站的形式在两个平台上进行对比。本研究描述了Batik 4.0的一般描述和功能,并评估了该应用程序在单页和多页应用中使用三角形网格制作3D蜡染图案的可用性。将结果进行比较,以找出哪一种更适合Batik 4.0的应用,无论是单页还是多页。测试技术采用调查的形式,其中以问卷为基础,以成绩为基础。为了比较单页和多页的可用性,本研究使用了可学习性、满意度、有效性和效率等可用性属性。测试结果表明,三维蜡染图案生成的多页网站在易学值(81.71%)、满意度(77.43%)、有效性(94.64%)和效率(92.23%)方面均优于单页网站。
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引用次数: 1
Designing Website E-Learning Based on Integration of Technology Enhance Learning and Human Computer Interaction 基于技术集成的网站E-Learning设计促进学习与人机交互
Pub Date : 2018-10-01 DOI: 10.1109/ICICOS.2018.8621792
Y. Udjaja, Sasmoko, Y. Indrianti, O. Rashwan, S. Widhoyoko
Proof of integration between Technology Enhanced Learning and Human-Computer Interaction requires a significant evaluation, Collaboration method was developed in the form of an e-learning website. The evaluation is done with WebQual 4.0 and modeled in several variables. Based on the evaluation obtained e-learning website sasmoko.com can be said enough quality significantly at $alpha$ <0.05 and the most decisive improvement of e-learning website sasmoko.com is on the usability.
技术增强学习与人机交互之间的整合需要进行重要的评估,协作方法以电子学习网站的形式发展。评估是用WebQual 4.0完成的,并在几个变量中建模。根据所获得的评价,sasmoko.com在$alpha$ <0.05时可以说是足够的质量,sasmoko.com最决定性的改进是在可用性上。
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引用次数: 10
Interpretive Flexibility in Using Mobile Applications to Handle Public Complaints by Government Officials 政府官员使用移动应用程序处理公众投诉的解释灵活性
Pub Date : 2018-10-01 DOI: 10.1109/ICICOS.2018.8621693
Dewinta Puristia, Irwansyah
The interpretation of government officers on Citizen Relation Management (CRM) application that used in daily organizational communication is constructed through the understanding and experience of using technology in the practice of work completion. The member of an organization has flexibility in interpreting the use of technology that such interpretation is usually the result of a social construction. The concept of Social Construction of Technology from Pinch and Bijker and its development that belongs to Humphreys are employed to analyze the use of technology at government organizational communications by emphasizing its essential elements, interpretative flexibility. Through in-depth interview to seven informants showed that the same technology used by users within the organization has the flexibility to be interpreted differently. The interpretation, attitude and the use of communication technology in an organization are constructed within the social context. The findings of this study are power and structural factors play a role to show the process of shaping the meaning of technology use within government organizational communications.
政府官员对日常组织沟通中使用的公民关系管理(CRM)应用的解读是通过在工作完成实践中使用技术的理解和经验来构建的。组织成员在解释技术使用方面具有灵活性,这种解释通常是社会结构的结果。运用汉弗莱的技术的社会建构概念(Pinch and Bijker)和技术的社会建构(Social Construction of Technology)及其发展,通过强调技术在政府组织传播中的基本要素——解释灵活性来分析技术的使用。通过对7名被调查者的深度访谈表明,组织内部用户使用的相同技术具有被不同解释的灵活性。组织对传播技术的解读、态度和使用都是在社会语境中构建的。本研究发现权力和结构因素在政府组织传播中发挥作用,显示了技术使用意义的形成过程。
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引用次数: 1
Credit Collectibility Prediction of Debtor Candidate Using Dynamic K-Nearest Neighbor Algorithm and Distance and Attribute Weighted 基于动态k -最近邻算法和距离与属性加权的候选债务人信用可收回性预测
Pub Date : 2018-10-01 DOI: 10.1109/ICICOS.2018.8621771
Tiara Fajrin, R. Saputra, I. Waspada
BPR Bank Jepara Artha is one of the banks that provide loan for activist of MSME (Micro, Small and Medium Enterprises). The activity of loaning in BPR Bank Jepara Artha has bad loan issue that often occured especially on loan MSME activist, therefore it needs an application to predict the loan Collectibility of debtor applicant to minimize the issue. This research applied one of Data Mining classification algorithms in the application that produces output that can serve as information sources or second opinion for the consideration in decision making to accept or reject the loan applicant. The algorithm that be used was Dynamic K-Nearest Neighbor and Distance and Attribute Weighted algorithm which is a dynamic selection of k, addition of attribute and distance weight on k-Nearest Neighbor algorithm. The attributes that be used to determine the prediction result are 5C (Character, Capacity, Capital, Collateral, Condition of Economic), monthly income, debt status elsewhere, number of dependents, age, type of commodity and business status. The results of Dynamic K-Nearest Neighbor and Distance and Attribute Weighted algorithm performance measurement use historical datas of 240 old customer, the order of importance of the attribute specified by domain expert and 10-fold Cross Validation yield the highest accuracy of 65.83% with precision value of 56.10% and recall value of 50% for k=3. Using weight attribute in this algorithm performs higher accuracy, precision and recall than the one which does not use it. The change in the order of importance of the attributes determined by Correlation Attribute Evaluation yield in a higher recall value of 54.35% for k=5 than the order of importance of the attributes determined by the domain expert.
BPR银行Jepara Artha是为中小微企业(MSME)积极分子提供贷款的银行之一。BPR Bank Jepara Artha的贷款活动存在不良贷款问题,特别是在贷款中小微企业活动中经常发生,因此需要一个应用程序来预测债务人申请人的贷款可收回性,以尽量减少问题。本研究将其中一种数据挖掘分类算法应用于应用程序中,产生的输出可以作为接受或拒绝贷款申请人的决策考虑的信息源或第二意见。所使用的算法是动态k-最近邻和距离属性加权算法,即在k-最近邻算法上动态选择k,添加属性和距离权重。用于确定预测结果的属性是5C(性格、能力、资本、抵押品、经济状况)、月收入、其他地方的债务状况、受抚养人数、年龄、商品类型和业务状况。动态k -最近邻和距离与属性加权算法的性能度量结果使用240个老客户的历史数据,由领域专家指定属性的重要度排序和10倍交叉验证,k=3时准确率最高,达到65.83%,精密度值为56.10%,召回率为50%。在该算法中使用权值属性比不使用权值属性具有更高的准确率、精密度和召回率。当k=5时,由关联属性评估确定的属性的重要顺序的变化比由领域专家确定的属性的重要顺序产生更高的召回值54.35%。
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引用次数: 1
Effect of Synthetic Minority Oversampling Technique (SMOTE), Feature Representation, and Classification Algorithm on Imbalanced Sentiment Analysis 综合少数派过采样技术(SMOTE)、特征表示和分类算法对不平衡情感分析的影响
Pub Date : 2018-10-01 DOI: 10.1109/ICICOS.2018.8621648
W. Satriaji, R. Kusumaningrum
The comments received on Internet-based online hotel reservation services are an important resource that can be utilised by hotel service providers including hotel managers' and hoteliers' for exercising quality control measures in their hotel reservation service. Importantly this contributes towards increased customer satisfaction and hotel revisits. In this study, Sentiment Analysis (SA) is used to analyse the comments received from customers. However, there are several problems associated with SA such as the unequal number of each class of data (imbalanced datasets), the classification algorithm and the feature representation. Using SMOTE (Synthetic Minority Oversampling Technique) this research aims to investigate how this technique balances the amount of data from each class employing; the Naïve Bayes (NB), Logistic Regression (LR), and Support Vector Machine (SVM) classification algorithms. And also using; term presence (TO), term occurrence (TO), and Term Frequency-Inverse Document Frequency (TF-IDF) feature representations to gauge the effect on the performance of sentiment analysis. The findings from the study found that the use of SMOTE was effective in improving the model's classification performance when data is imbalanced, as evidenced by the average model performance improvement of approximately 12 %. Furthermore, feature representation of TO resulted in an average of 81.68 % of the G-mean Score, followed by TP of 79.89 %, and TF-IDF 79.31 %. As for the classification algorithm, LR resulted in an average score of 81.65 % of the g-mean score, followed by SVM 81.55 %, and NB of 77.68 %.
就网上酒店预订服务所收到的意见,是酒店服务提供者(包括酒店经理和酒店经营者)可以利用的重要资源,以控制酒店预订服务的质素。重要的是,这有助于提高客户满意度和酒店回头率。在本研究中,使用情感分析(SA)来分析从顾客那里收到的评论。然而,存在一些与情景分析相关的问题,如每一类数据的数量不等(不平衡数据集)、分类算法和特征表示。使用SMOTE(合成少数过采样技术),本研究旨在调查该技术如何平衡来自每个班级的数据量;Naïve贝叶斯(NB)、逻辑回归(LR)和支持向量机(SVM)分类算法。也使用;术语存在(TO)、术语出现(TO)和术语频率-逆文档频率(TF-IDF)特征表示来衡量对情感分析性能的影响。研究结果发现,当数据不平衡时,使用SMOTE可以有效地提高模型的分类性能,平均模型性能提高约12%。此外,TO的特征表征平均占G-mean Score的81.68%,TP为79.89%,TF-IDF为79.31%。在分类算法中,LR的平均得分为g-mean得分的81.65%,其次是SVM的81.55%,NB的77.68%。
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引用次数: 14
期刊
2018 2nd International Conference on Informatics and Computational Sciences (ICICoS)
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