Proposal Preparation Training/Assistance (Proposal Clinic)

• Posted by: Admin
• Jumat, 17 Februari 2023
• Has been read 319 time(s)

The Bachelor of Economics Study Program, Faculty of Economics and Business, Udayana University held Training/Assistance for Proposal Preparation (Proposal Clinic) with the theme "Advanced Data Analysis and Data Visualization with Orange Data Mining" on 15-16 February 2023 at Lab A FEB Unud Denpasar.

This activity began with remarks from the Coordinator of the Bachelor of Economics Study Program FEB Unud, Dr. Ni Putu Wiwin Setyari, S.E., M.Sc, who was attended by all participants from young lecturers in the Bachelor of Economics Study Program and several students of the Doctoral Study Program in Economics, FEB Unud, who were pursuing a dissertation. 

The resource persons in the Proposal Clinic activities were Professors of the Faculty of Economics and Management of IPB, Prof. Dr. Ir. Akhmad Fauzi, M.Sc, delivered training materials and data analysis practices related to Data Mining Reviews, Machine Learning, Supervised Learning, Unsupervised Learning and Cases Studies Moderated by Lecturers of the Bachelor of Economics Study Program, Ni Kadek Eka Jayanthi, S.E., M.Si .

The resource persons in the Proposal Clinic activities were Professors of the Faculty of Economics and Management of IPB, Prof. Dr. Ir. Akhmad Fauzi, M.Sc, delivered training materials and data analysis practices related to Data Mining Reviews, Machine Learning, Supervised Learning, Unsupervised Learning and Cases Studies Moderated by Lecturers of the Bachelor of Economics Study Program, Ni Kadek Eka Jayanthi, S.E., M.Si .

Award certificates to the speakers were handed over by the Coordinator of the Bachelor of Economics Study Program, Dr. Ni Putu Wiwin Setyari, S.E., M.Sc accompanied by the Head of the Proposal Clinic Committee, Ida Ayu Meisthya Pratiwi, S.E., M.Sc.

This clinical activity is expected to develop research skills regarding machine learning in orange data mining and be able to apply orange data mining applications to scientific articles with an international reputation indexed by Scopus.