International Journal of Computer Techniques

16-22

Authors: Setiawansyah, Ayi Bayyinah, Nuroji

Sales transaction data in the sales division related to sales data goods so large and many that require large storage media and difficult to process these data for the preparation of reports used by management for decision making. Online Analitycal Processing (OLAP) is a method of approach to present the answers to the demand for a rapidly dimensional analysis process, ie the design of applications and technologies that can collect, store, manipulate a multidimensional data for analyst purposes. OLAP is part of a more global category of business thinking, which also summarizes the relationship between reporting and data mining. Use of this prototype helps executive informations system in generating monthly goods sales report that is 0,022259399998 sec, sales report top 10 that is 0,0223899998998 second, sales report down 10 that is 0,0210279999301 second, report sales by province that is 0,0399869999535 second, report Sales by district are 0.0133039000143 seconds. So it can help generate reports faster sales data and compliance report generated from the resulting prototype has in common with the existing report format so that the prototype is right in generating the report. OLAP technology can facilitate stakeholders in making decisions based on existing transactional data because OLAP will display data from various sides or multidimens.

28-32

Authors: Sulis Sandiwarno

Utilization of Information Technology (IT) has now reached a good stage. Utilization of IT is encouraging companies to use the system used to facilitate the work. Companies use IT as a means of disseminating information to their recipients. The recipient of the current information wants all access information to be viewed online, so without having to open print media they can receive information. From some case studies there are still many travel booking service providers for tourism that have not utilized IT yet, in the absence of a medium that provides online booking services will have an impact on the difficulty level of users in booking tickets. In this study see the opportunity of IT utilization on service providers to users, for example in a trip to the island of XYZ using tourism travel booking system online. Looking at the concept of online ordering, the method used is based on the relationship between the user and the system described in OOAD (Object Oriented Analysis Design). The ultimate goal of this research is to hope that online tourism travel reservations are expected to facilitate users in utilizing IT.

40-43

Authors: G.Silambarasan, P.Santhosh Raj

The aim of marketing Nowadays, it is important to understand the interests of each customer to make the relationship between the customer and the merchant easier. By studying the purchases made by customers, companies can create campaigns and promotions based on their profile, avoiding that they receive unnecessary notifications [1]. Companies are using data mining to extract knowledge which helps marketers in creating custom services for certain customers based on their interests [2], and thus, the use of data mining techniques is important to create efficient marketing campaigns [3]. The use of data mining allows the extraction of potentially interesting patterns or information from large amounts of data. It is used by several types of companies and organizations with different purposes: marketing, finance, communication, among others. The use of these techniques also has several objectives, such as, sales behavior, customer satisfaction and corporate profits. Thus, data mining helps companies make better decisions [1]. In order to allow an efficient usage of Data Mining techniques on activities of different sectors, some methodologies have been defined. Cross-Industry Standard Process for Data Mining (CRISPDM) is one of them, and contains six topics: business understanding, data understanding, data preparation, modeling, evaluation and deployment .that time my paper developing to customer like lot of products and thinks people look very fashion moments for (eg) dress, bag, food, jewelry, baby goods etc. Still very viral looking for mobile phone usages that one all empire in the world. How to people share the feedbacks and cluster at working with usage Smartphone usages for all age for. Reports and company maintain the consumer data base then how to improve the customer touch points find out the A brand is defined as “a name, term, sign, symbol or special design or some combination of these elements that is intended to identify the goods or services of one seller or a group of sellers by usages of new idea methodology for data mining concepts.

54-60

Authors: Mrs.C.Navamani, S.Krishnan

Popular payment mode accepted both offline and online is credit card that provides cashless transaction. It is easy, convenient and trendy to make payments and other transactions. Credit card fraud is also growing along with the development in technology. It can also be said that economic fraud is drastically increasing in the global communication improvement. It is being recorded every year that the loss due to these fraudulent acts is billions of dollars. These activities are carried out so elegantly so it is similar to genuine transactions. Hence simple pattern related techniques and other less complex methods are really not going to work. Having an efficient method of fraud detection has become a need for all banks in order to minimize chaos and bring order in place. There are several techniques like Machine learning, Genetic Programming, fuzzy logic, sequence alignment, etc are used for detecting credit card fraudulent transactions. Along with these techniques, KNN algorithm and outlier detection methods are implemented to optimize the best solution for the fraud detection problem. These approaches are proved to minimize the false alarm rates and increase the fraud detection rate. Any of these methods can be implemented on bank credit card fraud detection system, to detect and prevent the fraudulent transaction.

74-82

Authors: Maghrib Abidalreda Maky Alrammahi, Haider Abdul Hassan Hadi Al Kim

Voice over Internet Protocol (VoIP) is currently one of the fastest spreading telephone technologies. In recent years, VoIP has been widely used in wired and wireless networks because of its compatibility with and adoption in IEEE 802.11 devices. This technology works in the second layer of data link layer, and thus, is compatible with the carrier-sense multiple access with collision avoidance protocol (CSMA/CA), which works in IEEE 802.11 networks. The operation of this protocol depends on various algorithms, including the distributed coordination function (DCF) algorithm. This algorithm is governed by the transmission of packets at any time without considering the priorities of other stations. A collision of packets may occur when transmitting simultaneously with the rest of the stations. Another algorithm is the enhanced distributed channel access (EDCA), which sets a priority when sending packets between stations. Thus, if more than one station is transmitting simultaneously, then one of the stations will have higher priority and the remaining stations in the transmitter will have to wait depending on the order of priority. Consequently, collisions do not occur. In this regard, EDCA is better than DCF. The parameters of these algorithms are modified to produce a new algorithm, called M_EDCA. The three algorithms are applied using a simulation program, i.e. OPNET. The final results are obtained, and the results of the new algorithm are compared with those of the existing algorithms. The best results are achieved using the new algorithm, and consequently, the best voice quality in transmission and reception, and the best performance and service in VoIP applications.

86-91

Authors: Tutik Lestari, Sofian Lusa, Arni Retno Mariana, Nunung Nurmaesah

There Abstract- cryptanalyst are professional in how to fracture the encryption techniques. We require securing our programs and documents from cryptanalyst. Security of information means protecting data from unauthorized right to use in cloud environment. There are many techniques to reach the security of information from unauthorized entrance. There are two cryptographic techniques used for data encryption which are symmetric and Asymmetric techniques. Symmetric key encryption algorithms are computationally fast compared to asymmetric encryption algorithms (Like RSA). However, since the identical secret key is used for symmetric encryption and decryption, we have the crisis of securely distributing that secret key. Asymmetric key infrastructure in PKI does not rely on circulation of any private key. However, the familiar asymmetric algorithms are used for bulk encryption with recent computation capability. While SHA is collision resistant to a variety of block cipher algorithms. Thus for superior security performance, we propose a system which would integrate the advantages of these algorithms namely SHA, RSA which will be a hybrid approach of encrypting data. SHA is adopted in this mechanism to verify the integrity of the significance. Three major security principle such as authentication, confidentiality and integrity are achieved together using this method.

98-101

Authors: G.Ezhilarasi, S.Manivelan

Probabilistic aspect mining model (PAMM) is one of the most important issues in the assessment of drug safety. In fact, many adverse drug reactions are not discovered during limited pre-marketing clinical trials; instead, they are only observed after long term post-marketing surveillance of drug usage. In light of this, the detection of adverse drug reactions, as early as possible, is an important topic of research for the pharmaceutical industry. Recently, large numbers of adverse events and the development of data mining technology have motivated the development of statistical and data mining methods. These stand-alone methods, with no integration into knowledge discovery systems, inconvenient for users and the processes for exploration are time-consuming. This paper proposes an interactive system platform for the detection of PAMMs. This reduces the chance of having aspects formed from mixing concepts of different classes; hence the identified aspects are easier to be interpreted by people. The aspects found also have the property that they are class distinguishing:- they can be used to distinguish a class from other classes.