JuTISI (Jurnal Teknik Informatika dan Sistem Informasi)
Vol 12 No 1 (2026): JuTISI

Hybrid Fuzzy Logic dan Profile Matching untuk Meningkatkan Klasifikasi Obat Hipertensi

Wantoro, Agus (Unknown)
Ariwibowo, Catur (Unknown)
Rahmandini, Hafizhah Harjiati (Unknown)



Article Info

Publish Date
23 Apr 2026

Abstract

Classification of hypertension drugs has been carried out using various methods, but the combination of Fuzzy Logic and Profile Matching (F-PM) for hypertension drug classification has not been widely reported. This study develops a new proposal with a different approach, namely combining Fuzzy Logic with the Profile Matching method. This method was evaluated using fifty clinical datasets taken from www.kaggle.com. Experimental results show that the application of Fuzzy Logic to the Profile Matching method can increase accuracy by 20.18% or 98.39%. This study also compares it with other classification methods. The results of the performance comparison show that the proposed approach is superior. This approach can be a reference for many future studies.

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Journal Info

Abbrev

jutisi

Publisher

Subject

Computer Science & IT

Description

Paper topics that can be included in JuTISI are as follows, but are not limited to: • Artificial Intelligence • Business Intelligence • Cloud & Grid Computing • Computer Networking & Security • Data Analytics • Datawarehouse & Datamining • Decision Support System • E-Systems (E-Gov, ...