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Kamson Sirait
AMIK Medicom
Computer Science & IT Economics, Econometrics & Finance Languange, Linguistic, Communication & Media

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Decision Support System Application in Selecting The Feasibility of Home Credit Application Using AHP Method Kamson Sirait; Jonas Franky Rudianto Panggabean
Jurnal Mantik Vol. 4 No. 3 (2020): November: Manajemen, Teknologi Informatika dan Komunikasi (Mantik)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/mantik.Vol4.2020.1003.pp1623-1629

Abstract

Humans in general have a primary need which is none other than a place to live, namely a house. This primary need, not everyone can buy it in cash. Therefore, it is necessary to have a financial body or institution commonly referred to as a bank in order to provide financial assistance in the form of lending, in this case, of course, in the Home Ownership Credit (KPR). In order to simplify and speed up the work process, the right decision making is needed. There are several requirements or criteria in the assessment of prospective customers, this assessment is based on qualitative analysis, namely by looking at the down payment given by the customer, the number of dependents of the prospective customer, the customer's permanent job, the customer's income, the complete documents the customer has fulfilled. Through this research an application has been developed to perform the selection process for prospective customers in order to use an easier method. In this case, the method used by the author is the AHP method. By using the AHP Program method This is expected to determine whether or not a home loan is appropriate for customers
ROOM OPTIMIZATION IN COURSE SCHEDULING USING THE GREEDY ALGORITHM JONAS FRANKY RUDIANTO PANGGABEAN; KAMSON SIRAIT
Jurnal Mantik Vol. 6 No. 1 (2022): May: Manajemen, Teknologi Informatika dan Komunikasi (Mantik)
Publisher : Institute of Computer Science (IOCS)

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Abstract

Greedy algorithm is an algorithm that solves problems with systematic steps. In this research, the optimization used is the use of existing rooms on the AMIK Medicom Medan campus. The problem that often occurs on campus is the scheduling of courses with limited space. With these problems, it can hamper various other activities and the time needed is quite long to arrange a schedule because it is done manually. The purpose of this research is to test the greedy algorithm in optimizing empty spaces in the manufacture of the Course Scheduling System and to compare the algorithm testing with manuals. The application of the algorithm to the system will produce an effective course schedule without any problems in the use of the room so that there is no simultaneous use of the room in other courses.
Co-Authors Jonas Franky Rudianto Panggabean