
Application of the AHP Method for KIP Recommendation Applications -College Students
Author(s) -
Eri Satria,
Dirja Nur Ilham,
Arie Budiansyah,
Rudi Arif Candra,
Miswar Papuangan
Publication year - 2021
Publication title -
journal of computer networks, architecture and high performance computing
Language(s) - English
Resource type - Journals
ISSN - 2655-9102
DOI - 10.47709/cnahpc.v3i2.1112
Subject(s) - computer science , government (linguistics) , service (business) , medical education , business , medicine , philosophy , linguistics , marketing
The Smart Indonesia Card (KIP) is an assistance in the form of cash from the government given to students whose parents are less able to finance their education, as a continuation and expansion of the targets of the Poor Student Assistance (BSM) program. KIP has a goal, namely to increase access for children aged 6 (six) to 21 (twenty-one years) to obtain educational services until they graduate from high school to support the implementation of Universal Secondary Education / Pilot Compulsory Education 12 (twelve) years, prevent students from the possibility of dropping out of school or not continuing their education due to economic difficulties. The KIP-Kuliah, formerly known as Bidikmisi, is presently in service. They may find it difficult to determine who is a qualified candidate to become a recommendation for KIP-Kuliah recipients who will be presented to the system since many variables and assessments will be passed in determining the prospective KIP-Kuliah recipients. Therefore, from this problem, a system is needed that can quickly and accurately assess the eligibility of KIP-Lecture recipients without having to sort out the files that have been collected one by one. As a result, it is deemed necessary to develop a decision-making system to address the existing issues. The steps of research that will be carried out to create a decision support system will collect criteria and sub-criteria from the assessment and then enter them into the calculation formula or method employed, namely the AHP method.