Classification of prospective students who are eligible to receive KIP Merdeka lecture using the cart algoritma approach / Efori Bu’ulolo … [et al.]

Bu’ulolo, Efori and Fau, Alwin and Ndruru, Eferoni and Waruwu, Fince Tinus and Utomo, Dito Putro (2023) Classification of prospective students who are eligible to receive KIP Merdeka lecture using the cart algoritma approach / Efori Bu’ulolo … [et al.]. In: Melaka International Social Sciences, Science, and Technology (MIC3ST) 2023. Division of Research, Industrial Linkages and Alumni, UiTM Cawangan Melaka, Alor Gajah, Melaka, p. 110. (Submitted)

Official URL: https://www.mic3st.com/

Abstract

To help prospective students who have academic potential but have economic limitations, the government through the Ministry of Education, Culture, Research and Technology of the Republic of Indonesia has programs namely the Smart Indonesia Program (PIP), one of which is KIP Lecture Merdeka. Every year Budi Darma University gets an allocation of KIP Lecture quotas from the Higher Education Service Institute (LLDikti) region I North Sumatra, in the process of determining prospective students who are eligible to receive KIP Lectures Merdeka Budi Darma University often experiences difficulties because the quota is very limited and also prospective students who there are a lot of people who want to go to college with the Merdeka Lecture KIP pathway.

Metadata

Item Type: Book Section
Creators:
Creators
Email / ID Num.
Bu’ulolo, Efori
UNSPECIFIED
Fau, Alwin
UNSPECIFIED
Ndruru, Eferoni
UNSPECIFIED
Waruwu, Fince Tinus
UNSPECIFIED
Utomo, Dito Putro
ditoputro12@gmail.com
Contributors:
Contribution
Name
Email / ID Num.
Patron
Zain, Prof Madya Ts. Dr Mohd Rasdi
UNSPECIFIED
Subjects: L Education > LB Theory and practice of education > Learning. Learning strategies
Divisions: Universiti Teknologi MARA, Melaka
Event Title: Virtual Conference of Melaka International Social Sciences, Science, and Technology (MIC3ST) 2023.
Event Dates: 23 -24 Mei 2023
Page Range: p. 110
Keywords: Prospective students; Smart Indonesia Program; Academic potential; Algoritma approach
Date: 2023
URI: https://ir.uitm.edu.my/id/eprint/81897
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81897

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