International Journal of Computer Techniques

01 - 09

Authors: Agustinus Eko Setiawan, Ratnasari, Anita Triana

Vulnerability is a situation or condition that can reduce the ability of communities to prepare themselves for hazards or disaster threats. The purpose of knowing vulnerability is to reduce the negative impacts caused by disaster. So, the problem formulation in this research is about the comparison between fuzzy mamdani method with fuzzy sugeno method to detect flood prone area in Pringsewu Sub-district. The prototype that can determine flood prone areas, is still on construction in Pringsewu Sub-district. This prototype can reduce flood risk both through physical development as well as awareness and capacity building for disaster. This research yields the conclusion that is safe, vulnerable and flood. For the calculation begins by specifying the fuzzy set of each variable, the formation of fuzzy rules (implications), the composition of rules using MAX function, and also affirmation (defuzzification). While the prototype begins using Graphic User Interface, then complete the code on the Matlab R2013a software so the vulnerability detection design can work well. After the prototype of flood vulnerability detection was successfully made, the monographic data of Pringsewu Sub-district could be input into the prototype. Next will be processes using the Fuzzy Inference System method that has been entered into the prototype, then the result will appear. At the end of Mamdani method, it has 70% accuracy value while Sugeno method has 48.33% accuracy value. So from this result, we know that Mamdani method has better accuracy than Sugeno method.

18 - 25

Authors: Sarwati Rahayu

Prior to the development of content management system (CMS) it is important to conduct a systematic literature review (SLR) study to investigate the development of research on content management system (CMS). There are many research have been done regarding content management system, especially web content management system (Web CMS). One of the methods that can be used for systematic literature review (SLR) is the Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA). As the result, we classified Web CMS development into four domain classifications: general, medical, education, culture and business. First, CMS in general domain presented by Makitalo et al. (2011) conducted research regarding the nature of Web CMS. Swierad, Zabierowski, &Napieralski (2009) works presented universal editorial content management system. Liu et al. (2010) delivered and grouped the features of CMS into four groups, including website, resource management, user and rights management and personal information management. Second, CMS in education domain presented by many researchers, i.e. Rivera et al. (2010) proposed WikiDIS project, Staccini et al. (2007) purposed CMS built-in Dublin Core metadata, Reddig et al. (2008) designed CMS usability oriented, Xiang (2008) proposed CMS for student records, Zhang et al. (2010) delivered the Web CMS for education, Doinea et al. (2010) presented the design, architecture and implementation of the content management system named WeLearn, and Kurilovas (2009) proposed Learning (Content) Management Systems (LMSs). Third, in medical domain, CMS has been developed by Krechel et al. (2006) and Masud et al. (2012)[1][1][1][1][1][1]. Fourth, Sookhanaphibarn&Thawonmas (2009) designed Content Management System (CMS) for arranging digital information in museums. Fifth, Nordheim&Paivarinta (2004) explores the concept of customization related to ECM system and its role in the requirements definition phase of such development initiatives.

32 - 36

Authors: Didik Wiguna, Muhammad Ramdhan, Sonny Nugroho Aji, Andi Moch Januriana

The application of information technology can provide the best alternative solution to consider the criteria of the alternatives. Criteria that become general reference of research is distance, location of road, wide, price, social economy. AHP-TOPSIS method is expected to provide an alternative solution in determining the right location. The AHP method is used to generate the weighted value of the criterion, while the TOPSIS method is used to generate an alternate ranking sequence. This study has 8 criteria, and the result of this research is a prototype system that displays the order of rankings based on positive ideal values and alternative negative alternatives. This study recommends the order of 1 to 5 on the accuracy of ranking rankings.

45 - 51

Authors: Jeevithra.R, Karthikeyan.T

Cloud computing is an internet-based computing where resources, software and information are provided to computers on-demand, like a public utility. It is emerging as a platform for sharing resources like infrastructure, software and various applications. The majority of cloud computing infrastructure consists of reliable services delivered through data centers. Modern data centers, operating under the cloud computing model are hosting a variety of applications ranging from those that run for a few seconds to those that run for longer periods of time. When a job is submitted to the clouds, it is partitioned into several tasks. Scheduling a set of tasks in is one of the traditional challenges in parallel and distributed computing. It is very important to decide the order in which these tasks should be executed in order to increase the overall efficiency. Task scheduling is a key process for assigning the requests to resources in an efficient way considering cloud characteristics. Proper scheduling can have significant impact on the performance of the system. In this thesis work a task level scheduling approach has been proposed which prioritize the tasks to reduce the execution time, waiting time and response time. The simulator CloudSim has been used to validate the Proposed algorithm.

59 - 63

Authors: G.Raja Raja Cholan, S.Gayathri

A graph-based co-ranking criterion is utilized to calculate the arrogance of each applicant. The applicants with greater assurance are produced as viewpoint objectives or viewpoint terms. In comparison to previous techniques centered on the closest next-door neighbour guidelines, our design catches viewpoint interaction more precisely, especially for long-span interaction. In this paper suggests a novel strategy centered on the partially supervised positioning design, which regards determining viewpoint interaction as a positioning process. In comparison to the traditional not being watched positioning design, the suggested design acquires better perfection because of the usage of limited guidance. In comparison to syntax-based techniques, our term positioning design successfully relieves the side effects of parsing errors when dealing with casual on the internet text messages. Additionally, when calculating applicant assurance, we punish higher-degree vertices in our graph-based co-ranking criteria to decrease the probability of error generation. Our trial outcomes on three corpora with different sizes and languages show that our strategy successfully outperforms state-of-the-art techniques. Exploration viewpoint objectives and viewpoint terms on the internet reviews are important tasks for fine-grained viewpoint mining, the key component of which involves discovering viewpoint interaction among terms. Exploration the viewpoint interaction between viewpoint objectives and viewpoint terms was the key to combined removal. To this end, the most adopted techniques have been nearest-neighbor guidelines and syntactic styles. To improve the performance of these techniques, we can specially design beautiful, high-precision styles. However, with an increase in corpus size, this strategy is likely to miss more items and has lower recall. We propose a method centered on a monolingual Word positioning design (WAM). A viewpoint target can find its corresponding modifier through term positioning. Additionally, the WAM can incorporate several user-friendly factors, such as term co-occurrence wavelengths and term positions, into a specific design for showing the viewpoint interaction among terms. Thus, we expect to obtain more precise outcomes on viewpoint relation identification.

70 - 77

Authors: K.C. Anju, N. Rojaramani

A In this paper meet some problem in current Social Networks is to assign users the influence to manage the messages posted on their private space to avert that unnecessary content. The unwanted data may contain political, In social media our account is hacked with unknown person and they post fake news, for avoiding this can use a method of text analysis with based on our interest and about us, careers and before posted posts, categorized the words in black list and white list using this method 90% white list included message is post, otherwise a Onetime Password (OTP) send to the email and check the person is right person., as opposed to database applications, which use very structured data. In the implementation section use a college website and make department wise posts are posted by comparing the words with which department is posted check with dictionary of that subject, e.g. It can check the post from physics department, tokenized the post and based on that tokens that all tokens compared with physics dictionary, 90% tokens from physics that will be posted, like this method all department posts are checked and make black list and white list and checked. Through the sentiment analysis the comments posted by the users are analyzed by two categories like black list and white list. Then it checks with IP section for the first time login verification to check whether authorized person login or hacker hacks any information.

81 - 86

Authors: P.Karthik, R.Mani

This project present a survey of the experiential literature on the effects of typical weather change and weather circumstances on the convey sector. in spite of mixed confirmation on numerous issues, several pattern can be observed. On a worldwide scale particularly shifts in sightseeing and undeveloped production due to augmented temperatures may lead to shifts in passenger and shipment transport. Weather change connected shifts in weather patterns power also cause communications disruptions. Clear patterns are that rainfall affects road safety by increasing accident frequency but declining sternness. Precipitation also amplify overcrowding, especially during peak hours. Additionally, an improved frequency of low water levels may drastically increase costs of inland watercourse transport. In ill feeling of this future, the net impact of climate change on prevalent costs of the various transport modes is uncertain and hazy, with a probable exception for Inland River bring.