MASHUP FOR INTERNSHIP PLACEMENT (MlP)

Mashup, a web application that integrates data from multiple data sources or APis to
provide unique services. In this project Mashup for Internship Placement (MIP),
involves solving multiple problems such as extracting data from multiple sources,
cleaning it, and integrate it together. In the case study presented in this paper,
Mashup has been applied as one of the pattern for knowledge sharing. The problem
statement for this research paper is there is difficulties for student to decide which
internship offer to accept because they lack of knowledge about the company and the
job description. The objective of the research are to investigate Mashup pattern for
knowledge sharing system and to develop a prototype system that incorporate
features that allow user to view the location and information about the company
which offer the internship placement. The methodology used to create Mashup
system is Prototyping based methodology and Yahoo Pipes as the platform. Data
from Google Maps is extract using Fetch Feed widget in Yahoo Pipes and integrate
the feeds with Yahoo Pipes to show result on interactive map rather than traditional
list. MIP contains information about company that offers internship placement with
the location view on the map. This Mashup also can help student to be focus on the
decision making for their internship placement as they may get all information
gathered in one application.