Vin's Cafe is a bistro that sells food and drinks whose customers are generally children. The presence of deals consistently at Vin's Bistro, makes the information exchange deals continue to grow and makes the information capacity increase. The motivation behind this review is to decide on an example of a client's purchase based on the consequences of handling the inferred calculations and to test and implement the side effects of various information in the web structure. The technique used is the calculation of the deduction, the calculation of the deduction is a calculation that works by looking for affiliation rules without stopping among the advertised items. The affiliate rules in question are brought out through the system to work out help and trust relationships something. Affiliate rules should be attractive assuming the price of favor is more prominent than the base favor and the price of certainty is more important than the basic certainty. The result of this review is that Vin's Bistro can monitor the future offering system with 4 standards obtained from the exchange of information using inferred calculations and experimental results using ISO 9126 can be considered in the Generally very good Model with the side effect of the Usability variable being 85%, the result of Dependency angle 74.5%, Consequence of Ease of use section 88%, Consequence of Proficiency section 76%, Side effect of Practicality section of 75% and Side effect of Compactness section of 85%.

Face recognition is a face-oriented recognition method by comparing patterns that have previously been stored in the database. In general, facial image recognition systems are divided into two types, namely feature based systems and image based systems. To carry out facial image recognition, there are several kinds of approach algorithms that can support the processing of the face image. One approach algorithm that is well known and capable of processing images with a good level of accuracy is the eigenface approach. By using the eigenface approach, the face image will be processed by performing a matrix calculation, which results in an eucludian distance to be able to get the suitability of the face image. so this research produces a result which includes: the results of the test on the FGD Functional says for the accepted percentage is: 73% for not accepted is 27%, for Non-Functional FGD says for the accepted percentage is 82% and not accepted is 18 %, and for the results of testing the adaptation of ISO 9126 in the good category with a percentage result of 79%, and the last test result, namely the Blackbox Testing test to be accepted is 83% and for the results the percentage that is not accepted is 17%

— Face recognition is a face-oriented recognition method by comparing patterns that have previously been stored in the database. In general, facial image recognition systems are divided into two types, namely feature based systems and image based systems. To carry out facial image recognition, there are several kinds of approach algorithms that can support the processing of the face image. One approach algorithm that is well known and capable of processing images with a good level of accuracy is the eigenface approach. By using the eigenface approach, the face image will be processed by performing a matrix calculation, which results in an eucludian distance to be able to get the suitability of the face image. so this research produces a result which includes: the results of the test on the FGD Functional says for the accepted percentage is: 73% for not accepted is 27%, for Non-Functional FGD says for the accepted percentage is 82% and not accepted is 18 %, and for the results of testing the adaptation of ISO 9126 in the good category with a percentage result of 79%, and the last test result, namely the Blackbox Testing test to be accepted is 83% and for the results the percentage that is not accepted is 17%