SISTEM PENDUKUNG KEPUTUSAN PEMILIHAN SUPPLIER OBAT TERBAIK PENYAKIT GIGI MENGGUNAKAN METODE ANALYTICAL HIERARCHY PROCESS (AHP) (STUDI KASUS: dr. GIGI NINA SYAFITRI)

Penulis

  • Dewi Yohana br Ginting ITB Indonesia
  • Nirwan Sinuhaji ITB Indonesia

Kata Kunci:

Dental medicine supplier, drg Nina Syafitri, DSS, SPK, AHP

Abstrak

ABSTRACT

The problem that often occurs in the Practice of drg nina syafitri is in the supplier selection process which is still subjective where in choosing a drug supplier it must be selected manually and sometimes there are several obstacles that are often faced, namely when one supplier is in accordance with the price desired by the owner of the Practice of drg nina syafitri, with an appropriate payment period but is constrained in the speed of delivery of goods or ordered goods damaged on the way. As well as the slow claim of damaged goods is not handled properly, the number of items that do not match the order, the expiration date is close. Therefore, there are so many suppliers offering dental medicine that the practice of drg nina syafitri must be more selective and careful in choosing the right supplier. The method used in decision making for selecting the best dental medicine supplier is the Analytical Hierarchy Process (AHP). The method was chosen because the AHP method is a form of decision support model where the main equipment is a functional hierarchy with the main input being human perception, which in this case is a person who is an expert in the problem of Drug Suppliers or people who understand the problems of Drug Suppliers. so that later the system that is made can not only be used as a decision support system to determine the best Drug Supplier in the Practice of drg nina syafitri only, but can also be used for a support system. In selecting the best Drug Supplier at Prakter drg nina syafitri, it still uses a manual method whose results are not necessarily accurate. Know how to apply the AHP method to complete an appropriate decision. With this method, mistakes made when making decisions can reduce delays in making decision.

Unduhan

Diterbitkan

2024-03-31