Kombinasi Metode Certainty Factor dan Forward Chaining untuk Identifikasi Jenis Kulit Wajah Berbasis Android

Abstract

Using skincare and facial skin care must be in accordance with the type of facial skin, because if it is not suitable, it can cause problems such as facial skin breakouts, dry skin, irritated skin, and acne prone skin. To find out the type of facial skin, you have to do an examination with a skin and genital specialist, but the high cost of consultation and the long queue process is an obstacle for everyone. Therefore, the authors created an expert system to identify facial skin types using a combination of certainty factor methods with forward chaining techniques. The diagnostic results from calculations using an expert system application and the results of manual calculations from one of the respondent data from 100 respondent data, namely producing the same level of confidence, each of which produces a percentage of 99.45% and the diagnostic results state that the user has a normal skin type.

Design and Build Expert System Application for Diagnosing Facial Skin Disease based on Android

“…With an expert system, experts can treat patients more quickly and diagnose diseases effectively and accurately. Based on a study entitled "Combination of Certainty Factor and Forward Chaining Methods for Android-Based Facial Skin Type Identification" (Cahyaningsih, Triayudi, & Sholihati, 2021). In this study, the results obtained an accuracy of 99.45% which indicates that the expert system is functioning properly in accordance with expert diagnoses.…”

Analisis Penyakit Gigi Molar dengan Menggunakan Metode Forward Chaining

“…Apabila fakta sesuai dengan bagian IF maka rule tersebut bisa dieksekusi dan kemudian akan menghasilkan sebuah fakta baru (THEN). Rule diawali dari yang teratas dan setiap rule hanya boleh dieksekusi sekali [7].…”

Identifikasi Jenis Kulit Wajah Menggunakan K-Nearest Neighbor

“…Biasanya identifikasi jenis kulit dilakukan dengan melakukan diagnosis terhadap beberapa kriteria. Adapun kriteria-kriteria yang dapat digunakan antara lain adalah mengenai kadar minyak di wajah, timbulnya jerawat dan komedo, kekusaman wajah, jenis pori-pori, alergi kulit wajah, iritasi, penampakan urat nadi di wajah, dan dampak penggunaan produk perawatan dan kecantikan [1], [3], [5]- [10]. Dengan menggunakan teknik kecerdasan buatan, dapat dilakukan pendeteksian jenis kulit secara otomatis berdasarkan kriteria-kriteria di atas.…”