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Penggunaan Kecerdasan Buatan untuk Menganalisis Faktor Risiko Diabetes dengan menggunakan Random Forest Classifier
Tri Sulistyorini
; Nelly Sofi
; Dwi Widiastuti
; Viliananda Tripita Claur
Jurnal Teknik dan Science (JTS)
Vol 4
, No 3
(2025)
Diabetes is a non-communicable disease that deserves attention and poses a significant public health challenge. Although not a contagious disease, preventive measures and early detection of diabetes risk are crucial. This study used machine learning-based artificial intelligence to identify diabetes risk factors. The model was created using the Random Forest Classifier (RFC) algorithm, which has 16 variables as parameters. The model was built using the Python programming language, with data coll...
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Prototype Design of InMed (Information Medicine) Application Using Goal-Directed Design (GDD) Method with Figma
Tri Sulistyorini
; Muhammad Achsan Isa AL Anshori
; Nelly Sofi
; Dwi Widiastuti
Jurnal Teknik dan Science (JTS)
Vol 4
, No 2
(2025)
In the world of health, a platform is needed to make it easier for a person to find information, especially related to drugs practically. To realize this, this research was carried out to produce an application called InMed (Information Medicine). This research aims to analyze, design, and evaluate matters related to telemedicine and make it easier for users to find information about medicines. The method used in this study is Goal Directed Design (GDD) which consists of several steps, namely Re...
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