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All Journal Jurnal Pustaka Data : Pusat Akses Kajian Database, Analisa Teknologi, dan Arsitektur Komputer Journal of Embedded Systems, Security and Intelligent Systems
Raja Gunung, Tar Muhammad
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Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Industrial & Manufacturing Engineering Mechanical Engineering

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Analisis Tingkat Penerapan Prinsip Interaksi Manusia dan Komputer pada Website Satya Terra Bhinneka Raja Gunung, Tar Muhammad; Lubis, Siti Sahara; Agustin, Riris; Selvanda, Alifia Restu; Odang, Diana Kemala
Jurnal Pustaka Data (Pusat Akses Kajian Database, Analisa Teknologi, dan Arsitektur Komputer) Vol 5 No 1 (2025): Jurnal Pustaka Data (Pusat Akses Kajian Database, Analisa Teknologi, dan Arsitekt
Publisher : Pustaka Galeri Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55382/jurnalpustakadata.v5i1.1007

Abstract

Website Kampus Satya Terra Bhinneka merupakan platform yang menyediakan akses informasi perkuliahan bagi mahasiswa Satya Terra Bhinneka. Analisis terhadap website ini bertujuan untuk mengkaji keterkaitan antara fungsi sistem dengan prinsip serta paradigma Interaksi Manusia dan Komputer (IMK). Dalam proses analisis desain antarmuka, penulis menerapkan metode evaluasi heuristik, dengan aspek yang dievaluasi meliputi aspek human, technology, usability, dan ergonomics. Hasil analisis menunjukkan bahwa Website Kampus Satya Terra Bhinneka telah memenuhi prinsip-prinsip Interaksi Manusia dan Komputer, di mana tujuan utama IMK adalah memudahkan pengguna dalam berinteraksi dengan sistem serta menyediakan umpan balik yang sesuai dengan kebutuhan pengguna.
Smart Skincare: Expert System Based on Certainty Factors for Skin Type Identification and Product Selection Raja Gunung, Tar Muhammad; Ningtyas, Alyiza Dwi; Sitepu, Sengli Egani; Rolanda, Vicky; Jinan, Abwabul
Journal of Embedded Systems, Security and Intelligent Systems Vol 6, No 4 (2025): Desember 2025
Publisher : Program Studi Teknik Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59562/jessi.v6i4.10015

Abstract

This study aims to develop an expert system for selecting skincare products based on skin type using the Certainty Factor method. This method is used to represent the expert's level of confidence in the symptoms that appear on the user's skin, so that the system can provide realistic diagnostic results that are close to human thinking. The research data was obtained through consultations with beauty experts and a review of dermatology literature. The test results show that the system is able to identify the user's skin type with varying degrees of certainty. For example, for patients with combination skin types, the system recommends appropriate skincare products such as Salicylic Acid Serum, Elshe Skin Acne Cleansing Wash, and Azarine Acne Gentle Cleansing Foam. Thus, this Certainty Factor-based expert system is expected to help individuals recognize their skin type and choose facial care products more accurately and effectively. Going forward, this system has the potential to be further developed with the integration of artificial intelligence technology and a broader product database to improve the accuracy and personalization of recommendations.
Co-Authors Agustin, Riris Alifia Restu Selvanda Jinan, Abwabul Lubis, Siti Sahara Ningtyas, Alyiza Dwi Odang, Diana Kemala Rolanda, Vicky Sitepu, Sengli Egani