In the era of modern technologies and with development marketing, nowadays customer can save time buying things without having to visit store. They just need shop online, find what they are pay it a few simple clicks. With this convenience in mind, indulgence people online has risen quite well. The customer's decision purchase product through Internet commerce under concept electronic - which been developed into e-commerce or mobile usually takes serious action perceived confidence services...

The purpose of this study is to discuss on opportunities and threats Foodpanda as an online E-commerce platform including their strength weaknesses. Electronic Commerce commonly known E - means buying selling goods services through internet. a way conducting business online. Though e-commerce facing challenges in the market but it has scope outsource traditional markets. Nowadays, very big potential organization. There are so many one them Foodpanda. leading food delivery marketplaces spread...

The changing of physical characteristics the hydrological system have caused a lot natural phenomenon, which leads to flooding as one major problems that cause economic damages and affect people’s life. Therefore, need for systematic comprehensive approach flood area prediction is needed. This research proposed model with application Apriori algorithm towards data sets. Department Irrigation Drainage Malaysia supply sets report from year 2009 2015 (November until January) consist 7 district....

In Malaysia, an e-commerce company is still considered a new middleman. As well as the development of information and communication technology strongly affects business companies at present time in terms management, strategies, production, sales marketing, other aspects that underpin profitability general. E-commerce, known e-commerce, refers to general term for commercial activity using modern technologies, or transaction includes exchange data via electronic frameworks, especially...

In comparison to conventional book-printed content, electronic "publishing" has allowed users import files either a personal computer or an e-book reader read text in digital format. Reduced printing costs and reduced time market by streamlined drafting, proofing, methods are the benefits of publishing industry over printed book (p-book). It prevents binding, distribution shipping. The intent this paper is explore strategic use e-commerce transformation industry. first part discusses...

A home helper is in high demand these days because it relieves the stress of doing household chores. Home helpers are usually self-employed and work part-time their clients' homes. Be that as may, having domestic departments within nearby local area annoying since residents, general, have no foggy idea when or how to contact person providing types help. Examples could be offered include escort departments, garden maintenance, dinner planning, pet grooming, assistance with family tasks, even...

Technologies continue to evolve and develop as practically all activities services such commerce, business, online education can be terminated. Tragically, the commemorative service track handling still run a similar cycle more seasoned individuals have done previously. Here, recommended app will help customers deal with memory faster easier. The term "Islam" means identification God man, complete surrender in contemplations, sayings, beliefs, activities. Longitude Islamic culture is...

With the improvement of innovation that has become increasingly unexpected and modern, use cell phones primary option in supervising various issues life. The Covid-19 episode is starting to take course move from learning strategies open distance learning. Open an idea where students rate addresses different locations. Among exercises affected by this change way record student participation collaboration through web addresses, rather than usual being a similar classroom while talking. Global...

There are rising interests in developing techniques for data mining. One of the important subfield mining is itemset mining, which consists discovering appealing and useful patterns transaction databases. In a big environment, problem infrequent itemsets becomes more complicated when dealing with huge dataset. Infrequent may provide valuable information knowledge process. The current basic algorithms that widely implemented derived from Apriori FP-Growth. use Eclat-based has not yet been...

Psychosocial profiles among a convenience sample of 37 Malay Muslim participants Inabah program were measured using the Psychological Measure Islamic Religiousness (PMIR). Data analysed SPSS 23.0. Positive relations with others emerged as best-scored subscale whereas anger trait and depressed mood minimal. Single divorced respondents demonstrated significantly higher score for purpose in life. More favorable social desirability was reported by no previous treatment. Less depression expressed...

This paper proposes a framework for relapse prediction using Artificial Neural Networkalgorithms among drug addicts at Pusat Rawatan Inabah. The data collected will be miningthrough Network algorithms to generate patterns and useful knowledge andthen automatically classifying the possibility. research collaborates with PusatRawatan Inabah, which is one of rehabilitation centers that provide specific treatment torehabilitate from addiction. We expect classification datamining algorithms,...

Most developer prefers not to use formal specification (FS) approach in designing a database system. In recent years, these approaches have been seen as rivals, new consensus has developed which software developers are agreed it complementary. Theoretically this can reduce the overall development time, provide an unambiguous and precise supplement natural language descriptions. Focus point, be rigorously validated verified leading early detection of errors or debugs during process....

Pattern mining refers to a subfield of data that uncovers interesting, unexpected, and useful patterns from transaction databases. Such reflect frequent infrequent patterns. An abundant literature has dedicated in pattern tremendous efficient algorithms for itemset the database. Nonetheless, emerged be an interesting issue discovering rarely occur More researchers reckon rare occurrences may offer valuable information knowledge discovery process. The R-Eclat is novel algorithm determines...

Mining valuable information from database could be very challenging especially for crucial decision-making.This is because mining association rule may require repetitious scanning of large databases that leads to the use high memory usage and affects running time.Few methods algorithms were introduced by researchers handle issues in data mining.Rare Equivalence Class Transformation (R-Eclat) algorithm one techniques using vertical format repositories infrequent pattern mining.The main...