Penerapan Asosiasi Algoritma Apriori Pada Data Penjualan Alat-Alat Listrik Dan Tekhnik

The incompatibility of information in reporting productsthat are sold, and data storage is very large, business people, especially in the sales business are required to find an appropriate strategy that can increase sales and marketing of products sold, one of which is by using electronic product sales data. Therefore, anapplication is needed that is able to sort and select data, so that information can be obtained that is useful for users, namely data mining. Associate patterns can be used to place products that are often purchased together into an area that is close together so as to facilitate the customer in finding the desired product and designing the appearance of products in the catalog. The method used is theApriori Algorithm method, with the help ofTanagra 1.4.50 tools and processing transaction data using Microsoft Excel 2007.

EXPERIENTIAL MARKETING, SALES PROMOTION, AND PRICE DISCOUNT ANALYSIS ON ELECTRONIC PRODUCT BUYING DECISION

This research intended to verify as well as analyze the connection of experiential marketing, sales promotion and price discount variables to electronic product buying. Population of the research are consumers of Miami Electronik Surabaya. Research sampling use purposive sampling technique with some specific thought then gained 65 respondents analysis method that used here is multiple linear regression with tool aid of SPSS version 2.0 application. Based on the study research either simultaneously and partially can be known that there are positive and significant effect among variables of experiential marketing, sales promotion and price discount to electronic product buying it can be verified with f-test show that significant value is smaller than 0,005 that is 0,025 and partially, Experiential Marketing have influence on buying decision, that is proved with t-test which show that significant value smaller than 0,05 namely 0,004 next to Sales Promotion partially influenced buying decision, this phenomenon verified with t-test which show that significant value smaller as 0,05 that is 0,007 then partially, Price Discount influenced on buying decision, this is proved with t-test show that significant value is smaller than 0,05 of 0,001.

Figure-of-Merit for a Long-Term Survivorship of a Species Determined from the Short-Term Mortality Rate of Its Individual Organisms

The two analytical (“mathematical”) probabilistic predictive models considered in this analysis suggest that (1) the nonrandom time-derivative of the long-term mortality rate at a rather arbitrary initial moment of time for a particular type of species of interest can be viewed as a suitable physical or biological criterion, a sort of a figure of merit (FoM), of its long-term viability/survivorship and that (2) this derivative can be determined as the variance of the random mortality rate for the significantly shorter, of course, lifespan of the individual organisms that the type of species as a whole, addressed by the first model, is comprised of. This suggestion is obtained as a modification and extension of and as an “analogy” to a concept that the author developed earlier in application to microelectronics products. So, it is assumed in our approach that the long-term survivorship of a species comprised of numerous individual organisms is analogous to the long-term performance of an electronic product comprised of numerous mass-produced components. In the original research, it was shown that the time-derivative at the initial moment of time of the nonrandom infant mortality portion (IMP) of the bathtub curve (BTC) for an electronic product is, in effect, the variance of the random failure rate (RFR) of the mass-produced components that this product is comprised of, and it is assumed that such an analogy is applicable also to the long-term survivorship of a species comprised of numerous individual organisms. The larger this variance, the shorter is the expected long-term lifetime (survivorship) of the species as a whole. Future work should be focused, first of all, on the verification of the trustworthiness of our basic assumption for different species, including humans, and on the accumulation of statistical data for long-term survivorship of various species and their existing or future habitats, with consideration of the roles of gravity, temperature, level of radiation, attributes of the atmosphere, if any, etc., as well as on calculating lifespan variances for the organisms that the species of interest are comprised of.

Implementation of the general principles of creating an information environment for the maintenance and repair of ship mechanisms in the Electronic Product Passport

В статье рассматриваются принципы формирования информационной среды обслуживания судовых механизмов. Показывается перспективность разработки для этих целей и ведения с актуализацией на всех основных этапах жизненного цикла изделия его Электронного паспорта. Обосновывается структура паспорта, включающая три основных составляющих: 1. Состояние изделия; 2. Эксплуатационный журнал; 3. История изделия и структура обслуживающей такой паспорт базы знаний, включающей в свою очередь следующие основные группы данных: 1) общие данные; 2) данные для принятия решений на этапе ремонта; 3) критерии для принятия решений на этапе эксплуатации; 4) регламенты. Отмечается, что обеспечение действительности данных Электронного паспорта должен осуществляться через единый Регистрационный центр, функции которого сводятся к проверке наличия регистрационных данных и их целостности, хранению последних действительных копий электронных паспортов изделий и хранению данных о этих паспортах. The article deals with the principles of formation of the information environment for the maintenance of ship mechanisms. the prospects of development for these purposes and maintenance with updating at all main stages of the product life cycle of its electronic passport are shown. The structure of the passport, which includes three main components, is justified: 1. Product status; 2. Operational log; 3. Product history and structure of the knowledge base serving such a passport, which in turn includes the following main data groups: 1) general data; 2) data for decision-making at the repair stage; 3) criteria for decision-making at the operational stage; 4) regulations. It is noted that ensuring the validity of Electronic Passport data should be carried out through a single Registration Center, whose functions are limited to checking the availability of registration data and their integrity, storing the latest valid copies of electronic product passports and storing data on these passports.