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The Influence of Limestone And Calcium Hydroxide Addition in Asphalt Concrete Mixture 石灰石和氢氧化钙对沥青混凝土混合料性能的影响
Pub Date : 2016-06-01 DOI: 10.21512/COMTECH.V7I2.2242
Gunaran Danny, K. Y. Nasus, Josep P. F Napitupulu, A. Makmur
As time passes, flood often occurs in the area of Gunung Sahari, Jakarta Utara. The flood damages concrete asphalt mixture and it needs particular improvement. Therefore, the purpose of this research is to know the effects of the added combination of limestone and calcium hydroxide on concrete asphalt mixture as a filler resistant to flood. Concrete asphalt mixture that filled with the combination of limestone and calcium hydroxide is a mixture that is made with non-uniform aggregat gradations, filler and liquid asphalt mixed and solidified in a heat state. Limestone and calcium hydroxide mixture is used because both materials included in the most numerous sedimentary rock. Concrete asphalt mixture with the filler combination of limestone and calcium hydroxide is made with optimum asphalt 5.4%, one variation level of limestone (15%), and calcium hydroxide (15%), and three variation levels of fillers (5%, 7.5%, and 15%) to get optimum asphalt levels and filler levels that are compatible with flood condition. Based on optimum asphalt 5.4% towards aggregate total weight and combined level of limestone and calcium hydroxide suitable for the conditions, 8.75 % towards fine aggregate weight. The characteristic value of limestone and calcium hydroxide mixture in maximum condition is VIM 4.55%, VMA 18.83%, stability 1031.26 kg and flow 4.93 mm, where the characteristic value meets the established specifications standard by Pekerjaan Umum Bina Marga. From the result, it is showed that the use of the mixture can decrease the value of stability and increase the value of flow, compared with asphalt and filler with normal levels.
随着时间的推移,洪水经常发生在古南撒哈拉地区,雅加达Utara。洪水对混凝土沥青混合料的破坏,需要特别的改进。因此,本研究的目的是了解添加石灰石和氢氧化钙组合作为抗洪水填料对混凝土沥青混合料的影响。石灰石和氢氧化钙组合填充的混凝土沥青混合料是由不均匀的骨料级配、填料和液体沥青混合而成的混合物,在热状态下固化而成。之所以使用石灰石和氢氧化钙的混合物,是因为这两种材料包含在沉积岩中最多。以最佳沥青5.4%、石灰石1个变化水平(15%)、氢氧化钙1个变化水平(15%)、填料3个变化水平(5%、7.5%、15%)配制石灰石-氢氧化钙填料组合混凝土沥青混合料,得到与洪水条件相适应的最佳沥青水平和填料水平。以最佳沥青为基础,骨料总重为5.4%,石灰石和氢氧化钙的组合水平适宜,细骨料重量为8.75%。石灰石和氢氧化钙混合料在最大工况下的特征值为VIM 4.55%, VMA 18.83%,稳定性1031.26 kg,流量4.93 mm,符合Pekerjaan Umum Bina Marga制定的规范标准。结果表明,与正常水平的沥青和填料相比,掺加该混合料会降低混凝土的稳定性值,增加混凝土的流动值。
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引用次数: 0
Website Quality To Increase Franchise Marketing Performance Excellent 网站质量提高特许经营营销业绩优异
Pub Date : 2016-06-01 DOI: 10.21512/COMTECH.V7I2.2250
Erwin Ardianto Halim, Yohannes Kurniawan
According to Indonesia Association of Service Provider (APJII) survey in 2014, the internet user in Indonesia increased up to around 88 million. This number expresses that the use of the internet to seek business franchise information will increase as well. The increase of internet using should be followed by the quality of franchisor's website. The franchisor's website will relate to system quality, information quality and service quality (DeLone and McLean, 2003). This research uses SEM LISREL to see the loading factors of each indicator impact in variables and website quality variables impact to intention to purchase franchise. The result shows that all variables (System quality, Information Quality, and Service Quality) give significant impact to dependent variable Website Quality.
根据印度尼西亚服务提供商协会(APJII) 2014年的调查,印度尼西亚的互联网用户增加到约8800万。这一数字表明,利用互联网寻求商业特许经营信息也将增加。随着互联网使用的增加,特许人网站的质量也应随之提高。特许人的网站将关系到系统质量、信息质量和服务质量(DeLone and McLean, 2003)。本研究使用SEM LISREL分析各指标的加载因子对变量的影响,以及网站质量变量对特许经营购买意愿的影响。结果表明,所有变量(系统质量、信息质量和服务质量)对因变量网站质量有显著影响。
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引用次数: 0
Analysis And Voice Recognition In Indonesian Language Using MFCC And SVM Method 基于MFCC和SVM方法的印尼语语音分析与识别
Pub Date : 2016-06-01 DOI: 10.21512/COMTECH.V7I2.2252
Harvianto Harvianto, Livia Ashianti, Jupiter Jupiter, Suhandi Junaedi
Voice recognition technology is one of biometric technology. Sound is a unique part of the human being which made an individual can be easily distinguished one from another. Voice can also provide information such as gender, emotion, and identity of the speaker. This research will record human voices that pronounce digits between 0 and 9 with and without noise. Features of this sound recording will be extracted using Mel Frequency Cepstral Coefficient (MFCC). Mean, standard deviation, max, min, and the combination of them will be used to construct the feature vectors. This feature vectors then will be classified using Support Vector Machine (SVM). There will be two classification models. The first one is based on the speaker and the other one based on the digits pronounced. The classification model then will be validated by performing 10-fold cross-validation.The best average accuracy from two classification model is 91.83%. This result achieved using Mean + Standard deviation + Min + Max as features.
语音识别技术是生物识别技术的一种。声音是人类独特的一部分,它使人可以很容易地与他人区分开来。声音还可以提供说话人的性别、情感和身份等信息。这项研究将记录人类在有噪音和无噪音的情况下发出0到9之间数字的声音。该录音的特征将使用Mel频率倒谱系数(MFCC)提取。将使用均值、标准差、最大值、最小值以及它们的组合来构建特征向量。然后使用支持向量机(SVM)对这些特征向量进行分类。将有两种分类模型。第一个是基于说话人,另一个是基于发音的数字。然后将通过执行10倍交叉验证来验证分类模型。两种分类模型的最佳平均准确率为91.83%。该结果使用均值+标准差+最小值+最大值作为特征。
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引用次数: 4
The Application Of K-Means Algorithm For LQ45 Index on Indonesia Stock Exchange k -均值算法在印尼证券交易所LQ45指数中的应用
Pub Date : 2016-06-01 DOI: 10.21512/COMTECH.V7I2.2256
A. Condrobimo, A. D. Sano, Hendro Nindito
The objective of this study is to apply cluster analysis or also known as clustering on stocks data listed in LQ45 index at Indonesia Stock Exchange. The problem is that traders need a tool to speed up decision-making process in buying, selling and holding their stocks.The method used in this cluster analysis is k-means algorithm. The data used in this study were taken from Indonesia Stock Exchange. Cluster analysis in this study took data’s characteristics such as stocks volume and value. Results of cluster analysis were presented in the form of grouping of clusters’ members visually. Therefore, this cluster analysis in this study could be used to identify more quickly and efficiently about the members of each cluster of LQ45 index. The results of such identification can be used by beginner-level investors who have started interest in stock investment to help make decision on stocks trading.
本研究的目的是应用聚类分析或也称为聚类在印度尼西亚证券交易所LQ45指数上市的股票数据。问题在于,交易员需要一种工具来加快买进、卖出和持有股票的决策过程。聚类分析使用的方法是k-means算法。本研究使用的数据来自印度尼西亚证券交易所。本研究的聚类分析采用了存量、价值等数据特征。聚类分析结果以聚类成员分组的形式直观呈现。因此,本研究的聚类分析可以更快速有效地识别LQ45指数各聚类的成员。这种识别的结果可以用于对股票投资产生兴趣的初级投资者,帮助他们做出股票交易决策。
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引用次数: 4
Investment Cost Model in Business Process Intelligence in Banking And Electricity Company 银行和电力公司业务流程智能中的投资成本模型
Pub Date : 2016-06-01 DOI: 10.21512/COMTECH.V7I2.2248
A. M. Sundjaja
Higher demand from the top management in measuring business process performance causes the incremental implementation of BPM and BI in the enterprise. The problem faced by top managements is how to integrate their data from all system used to support the business and process the data become information that able to support the decision-making processes. Our literature review elaborates several implementations of BPI on companies in Australia and Germany, challenges faced by organizations in developing BPI solution in their organizations and some cost model to calculate the investment of BPI solutions. This paper shows the success in BPI application of banks and assurance companies in German and electricity work in Australia aims to give a vision about the importance of BPI application. Many challenges in BPI application of companies in German and Australia, BPI solution, and data warehouse design development have been discussed to add insight in future BPI development. And the last is an explanation about how to analyze cost associated with BPI solution investment.
高层管理人员对度量业务流程性能的更高需求导致企业中BPM和BI的增量实现。高层管理人员面临的问题是如何将所有用于支持业务的系统中的数据集成起来,并将数据处理成能够支持决策过程的信息。我们的文献综述详细阐述了澳大利亚和德国公司在BPI方面的几个实施,组织在其组织中开发BPI解决方案所面临的挑战,以及计算BPI解决方案投资的一些成本模型。本文展示了德国银行和保险公司以及澳大利亚电力公司在BPI应用方面的成功,旨在对BPI应用的重要性给出一个愿景。讨论了德国和澳大利亚公司在BPI应用、BPI解决方案和数据仓库设计开发中的许多挑战,以增加对未来BPI开发的见解。最后是关于如何分析与BPI解决方案投资相关的成本的解释。
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引用次数: 0
Students' Satisfaction on Academic Services in Higher Education Using Importance-Performance Analysis 基于重要性-绩效分析的高等教育学生学术服务满意度研究
Pub Date : 2016-03-31 DOI: 10.21512/COMTECH.V8I1.3776
S. Suroto, A. Nindiani, H. Purba
The objective of this research was to determine the students’ satisfaction level on the academic services provided by the accounting program at a private university in Jakarta and to evaluate attributes that should be improved. The data were obtained from questionnaires by using 5 quality dimensions. There are tangible, reliability, responsiveness, assurance, and empathy. Moreover, the data were processed by using Excel, SPSS 20, Customer Satisfaction Index (CSI) to determine the level of customer satisfaction, and also Importance-Performance Analysis (IPA) to determine the attributes of service be repaired and maintained. The results show that the CSI is 71%, which means that the majority of customers are satisfied with the performance of the service quality of accounting program. Meanwhile, the results of IPA indicate that the improvement priorities have two attributes in quadrant 1. They are the availability of space to support student activities and the availability of books and teaching materials related to the syllabus. These attributes are the top priority because the importance level is high while the performance level is low from the customers’ point of view.
本研究的目的是确定学生对雅加达一所私立大学会计课程提供的学术服务的满意度水平,并评估应改进的属性。数据采用5个质量维度进行问卷调查。它们是有形的、可靠的、响应性的、保证的和移情的。此外,通过Excel、SPSS 20、顾客满意度指数(CSI)和重要性绩效分析(IPA)对数据进行处理,以确定客户满意度水平,并确定需要维修和维护的服务属性。结果表明,CSI为71%,这意味着大多数客户对会计程序的服务质量表现感到满意。同时,IPA结果表明,改进优先级在象限1中具有两个属性。它们是支持学生活动的空间的可用性以及与教学大纲相关的书籍和教学材料的可用性。这些属性是最优先的,因为从客户的角度来看,重要性级别高,而性能级别低。
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引用次数: 17
Production of Fish Hydrolysates Protein From Waste of Fish Carp (Cyprinus Carpio) by Enzymatic Hydrolysis 酶法水解鲤鱼废液生产鱼水解蛋白的研究
Pub Date : 2016-03-01 DOI: 10.21512/COMTECH.V7I1.2201
D. Saputra, T. Nurhayati
Fish Protein Hydrolysates (FPH) is the mixed products of polypeptide, dipeptides, and amino acid. It can be produced from materials that contained of protein by acid reaction, base reaction or enzymatic hydrolysis. The objectives of this study were to study the production of FPH from fish carp meat at post rigor phase and viscera by enzymatic hydrolysis, to determine the specific activity of papain enzyme, and to determine the solubility of FPH. Capacity of fish hydrolyzing can be identified by analyzing the content of dissolved total nitrogen (NTT) compared with nitrogen total ingredient (NTB) in order to get the value of total soluble nitrogen/total nitrogen material (NTT/NTB). The hydrolysis processes were carried out in 0,26% (w/v) papain, 60 οC for 3 hours. The result showed that the specific activity of papain enzyme was about 3.28 U/mg. Solubility of FPH by comparing NTT/NTB was about 0.29% (fish meat) and 0.40% (fish viscera). Proximate test of protein content of fish meat was 18.34 ± 0.04 (g/100 g); while viscera was about 0.95±0.04 (g/100 g). The result indicated that product waste of fish carp had potential as a major of source of FPH.
鱼蛋白水解物(FPH)是多肽、二肽和氨基酸的混合产物。它可以由含有蛋白质的材料通过酸反应、碱反应或酶水解来生产。本研究的目的是研究用酶解法从鱼肉和鱼内脏中生产鱼ph,测定木瓜蛋白酶的比活性,并测定鱼ph的溶解度。通过分析溶解总氮(NTT)含量与氮总成分(NTB)含量的比较,可以识别鱼类的水解能力,从而得到总可溶性氮/总氮物质(NTT/NTB)的值。在0、26% (w/v)的木瓜蛋白酶、60 o oc溶液中水解3小时。结果表明,木瓜蛋白酶的比活性约为3.28 U/mg。通过比较NTT/NTB, FPH的溶解度分别为0.29%(鱼肉)和0.40%(鱼内脏)。鱼肉蛋白质含量近似值为18.34±0.04 (g/100 g);内脏约为0.95±0.04 (g/100 g),表明鱼的产品废物有潜力作为FPH的主要来源。
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引用次数: 4
Impelementation of Information Technology Service Management at Data And Information System Center of XYZ University XYZ大学数据与信息系统中心信息技术服务管理的实施
Pub Date : 2016-03-01 DOI: 10.21512/COMTECH.V7I1.2220
Kornelius Irfandhi, Ariani Indrawati, Dwykie Alexandra, Krisantus Wanandi, Yanuari Harisky, Suryadiputra Liawatimena
Information Technology (IT) is increasingly progressing. Nowadays, the success of a business of the organization/company is highly dependent on the IT infrastructure used. Therefore, organizations/companies have to manage their IT service to be optimal to their customers. Looking at this matter and the increasing dynamics of XYZ University, then Data and Information System Center (Pusdatin) - an IT provider of XYZ University began implementing IT Service Management (ITSM) from 2013 using the latest version of Information Technology Infrastructure Library (ITIL), namely ITIL v3 as a framework for implementing ITSM in its business processes. However, along the way, there are still some problems happen in Pusdatin in order that ITSM can actually support and align with the objectives of XYZ University. Through this paper, the authors want to explain how the implementation of ITSM at Pusdatin, identify the problems related to the implementation of ITSM, and provide the solutions for each problem. The methods used are direct observation to Pusdatin, conductan interview with the Head of Pusdatin and Staff of Pusdatin, and also perform a literature review of books and papers that discuss about ITIL. The result of this research is that ITSM process of Pusdatin generally works quite well but there are still some shortcomings because ITSM is not 100% implemented in all areas.
信息技术(IT)日益进步。如今,组织/公司业务的成功高度依赖于所使用的IT基础设施。因此,组织/公司必须管理他们的IT服务,使其对客户来说是最优的。考虑到这个问题和XYZ大学不断增长的动态,XYZ大学的IT提供商数据和信息系统中心(Pusdatin)从2013年开始实施IT服务管理(ITSM),使用最新版本的信息技术基础设施库(ITIL),即ITIL v3作为在其业务流程中实施ITSM的框架。然而,在此过程中,为了使ITSM能够真正支持并与XYZ大学的目标保持一致,在Pusdatin仍然存在一些问题。通过本文,作者想要解释如何在北京实施ITSM,找出与ITSM实施相关的问题,并针对每个问题提供解决方案。使用的方法是直接观察到Pusdatin,与Pusdatin的负责人和工作人员进行访谈,并对讨论ITIL的书籍和论文进行文献综述。本研究的结果是,普司廷的ITSM流程总体上运行良好,但仍存在一些不足,因为ITSM并未在所有领域100%实施。
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引用次数: 4
Mobile Loyalty Application Development Based on Android 基于Android的手机忠诚应用开发
Pub Date : 2016-03-01 DOI: 10.21512/COMTECH.V7I1.2193
A. Irina, M. Megawati, A. Abednego, Natalia Chandra, Irma Kartika Wairooy, Alvina Aulia
The research objective is to develop an application that allows users to participate in a loyalty program and facilitate Smartphone enterprise (Merchant) in access, sale and observation of customer transactions through mobile applications. Design method used is object-based design that includes a UML of use case diagrams, use case narrative, class diagram, sequence diagrams and activity diagrams. Results achieved in the form of mobile applications that are able to facilitate customer in managing loyalty cards as well as to increase customer loyalty. This application features, such as add points, redeem, news, transaction history, and message that can facilitate customer in managing customer loyalty card. The conclusion of this design is that the application of E Points can enable customers to manage a loyalty card in Smartphone, add points, redeem rewards, obtain the latest promotional information through news features, and view transaction history.
研究目标是开发一个应用程序,允许用户参与忠诚计划,并促进智能手机企业(商户)在访问,销售和观察客户交易通过移动应用程序。所使用的设计方法是基于对象的设计,包括用例图、用例叙述、类图、序列图和活动图的UML。以移动应用程序的形式取得的成果,能够方便客户管理会员卡,并提高客户忠诚度。该应用程序具有添加积分、兑换、新闻、交易记录和消息等功能,可以方便客户管理客户忠诚度卡。本次设计的结论是,E Points的应用可以让顾客在智能手机上管理会员卡,添加积分,兑换奖励,通过新闻功能获取最新的促销信息,查看交易历史。
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引用次数: 1
Using K-Nearest Neighbor in Optical Character Recognition 基于k近邻的光学字符识别
Pub Date : 2016-03-01 DOI: 10.21512/COMTECH.V7I1.2223
V. Ong, Derwin Suhartono
The growth in computer vision technology has aided society with various kinds of tasks. One of these tasks is the ability of recognizing text contained in an image, or usually referred to as Optical Character Recognition (OCR). There are many kinds of algorithms that can be implemented into an OCR. The K-Nearest Neighbor is one such algorithm. This research aims to find out the process behind the OCR mechanism by using K-Nearest Neighbor algorithm; one of the most influential machine learning algorithms. It also aims to find out how precise the algorithm is in an OCR program. To do that, a simple OCR program to classify alphabets of capital letters is made to produce and compare real results. The result of this research yielded a maximum of 76.9% accuracy with 200 training samples per alphabet. A set of reasons are also given as to why the program is able to reach said level of accuracy.
计算机视觉技术的发展帮助社会完成了各种各样的任务。其中一项任务是识别图像中包含的文本的能力,或通常称为光学字符识别(OCR)。有许多种算法可以实现到OCR中。k近邻算法就是这样一种算法。本研究旨在通过k -最近邻算法找出OCR机制背后的过程;最具影响力的机器学习算法之一。它还旨在找出该算法在OCR程序中的精确度。为此,编写了一个简单的OCR程序来对大写字母的字母进行分类,以产生和比较实际结果。本研究的结果是,在每个字母表200个训练样本的情况下,准确率最高为76.9%。一组原因也给出了为什么该程序能够达到上述水平的准确性。
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引用次数: 10
期刊
ComTech
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