Project data warehouse management with multivariate analysis

Author(s):  
Jui-Sheng Chou ◽  
Hsien-Cheng Tseng
2021 ◽  
Author(s):  
Johannes Calvin Tjahaja ◽  
I. Gde Dharma Nugraha ◽  
Nani Asna Dewi ◽  
Perdianta Sembiring

2019 ◽  
Vol 18 (3) ◽  
pp. 307-314
Author(s):  
Abdul Azis Abdillah ◽  
Muhammad Toby Adigunanugraha ◽  
Ivana Bianca

Heavy Equipment Study Program, Jakarta State Polytechnic, has a warehouse that aims to store spare parts. These spare parts are used to meet the practical needs of students when lectures take place every semester. During this time, to lend and report spare parts, heavy equipment warehouse technicians still use forms and spare parts cards. This method is less effective when the stakeholders such as the Head of Workshop and Head of Study Program want to know the amount of spare parts stock that is still owned by the warehouse or data warehouse cannot be seen in real time. From these problems, the warehouse needs a way to speed up the process. One method that can be used to overcome this problem is to create a web-based system or application that can carry out an inventory, record, process, and report the spare parts data contained in the heavy equipment warehouse. This writing aims to design and build warehouse management applications for heavy equipment spare parts. So, with this web-based application, stake holders can view reports from the warehouse with the right target, accurate, and efficient.


1966 ◽  
Vol 24 ◽  
pp. 188-189
Author(s):  
T. J. Deeming

If we make a set of measurements, such as narrow-band or multicolour photo-electric measurements, which are designed to improve a scheme of classification, and in particular if they are designed to extend the number of dimensions of classification, i.e. the number of classification parameters, then some important problems of analytical procedure arise. First, it is important not to reproduce the errors of the classification scheme which we are trying to improve. Second, when trying to extend the number of dimensions of classification we have little or nothing with which to test the validity of the new parameters.Problems similar to these have occurred in other areas of scientific research (notably psychology and education) and the branch of Statistics called Multivariate Analysis has been developed to deal with them. The techniques of this subject are largely unknown to astronomers, but, if carefully applied, they should at the very least ensure that the astronomer gets the maximum amount of information out of his data and does not waste his time looking for information which is not there. More optimistically, these techniques are potentially capable of indicating the number of classification parameters necessary and giving specific formulas for computing them, as well as pinpointing those particular measurements which are most crucial for determining the classification parameters.


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