APLIKASI SISTEM PENDUKUNG KEPUTUSAN TANAMAN OBAT HERBAL UNTUK BERBAGAI PENYAKIT DENGAN METODE ROC (RANK ORDER CENTROID) DAN METODE ORESTE BERBASIS MOBILE WEB
Abstract: Herbal medicinal
plant is a traditional medicinal plant that is used to cure a disease. Most of
modern people did not know yet the benefits that will be gotten from herbal
plants for the health. This research developed a supporting decision
application system of herbal medicinal plants for various diseases. ROC (Rank
Order Centroid) method was used to count the total number of criteria value and
Oreste method was used to rank the alternative herbal medicinal plants with
criteria which influence it, namely disease, blood pressure, tall, weight,
user’s condition (other diseases), age, kinds of plants, substance and efficacy
of plants themselves. Final result of this system was that there were some
alternative herbal medicinal plants which were appropriate to user’s disease.
In this research, the researcher conducted white box testing by using path base
testing to make complex logical estimates to define current action and
conducted black box testing by using equivalence partitioning technique which
divided domain input, decided testing case by explaining kinds of mistakes. The
results of proper test for the system which were done by using questionnaire
were gotten 86.75% for testing of functional system, 87% for interface and
accessing testing, and 87.33% for testing of advantages system.
Keywords: Supporting decision
system, herbal medicinal plants, disease, ROC (Rank Order Centroid), Oreste
Penulis: Nella Astiani, Desi
Andreswari, Yudi Setiawan
Kode Jurnal: jptinformatikadd160996
