Designing determination of procrastination level in students utilize genetic algorithms method in data mining classification
Someone who has difficulties in doing something in deadline, often did postpone, overprepare in something, even fail in completing the task in deadline, called as someone who did procrastination. This study utilize Genetic Algorithm method to determine the consideration in designing information system. The objective of this study is to apply the database management in determinig procrastinative characteristic in students at school. In Genetic Algorithm method, this study utilizemost appropriate determined indicators with Chromosome Representative in similarity between data characteristics in the constituent criteria classification that can influence the procrastinative characteristic in students. Based on the test and result, the conclusions are, Information System in Procrastination Determination Program would be computerized system, thus the Information System in Determining Procrastination in students would be useful in the future.
The key factor for improving the efficiency of assembly sequence planning is to reduce the number of components involved in the search or generation of assembly sequences. This paper presents a methodology for automatically extracting subassemblies from a product through analyzing the interference matrices and connection matrices of an assembly in order to simplify the assembly sequence generation. By considering the engineering information of components, the number of components involved in the search of assembly sequences can be reduced greatly.