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Implementasi Metode Teorema Bayes Pada Diagnosa Penyakit Gigi Muhammad Risman; Fiqram putra pratama; Gonzales H. Marlissa; Hardiana; Lucilla T. Ledious Monika; Astika Ramadhani; Rexci Trido Ngaderman7; Putra Hidayatullah; Patmawati Hasan
An Nafi': Multidisciplinary Science Vol. 2 No. 4 (2025): An Nafi’
Publisher : CV Edujavare Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70610/annafi.v2i4.1052

Abstract

This study implements the Bayes Theorem method to diagnose dental diseases based on patient-reported symptoms. Bayes Theorem operates by calculating the probability of a disease as a hypothesis based on available evidence in the form of observed symptoms. In this study, patient-reported symptoms are analyzed probabilistically to diagnose several types of dental diseases, namely gingivitis, dental caries, periodontal abscess, and pulpitis. The system utilizes conditional probability values between symptoms and diseases obtained from expert knowledge to calculate the posterior probability of each disease. The system is developed using the Python programming language and consists of a knowledge base containing symptom data, disease types, and probability values, as well as an inference engine that applies Bayes Theorem calculations. Research data were collected through interviews with dentists at Dian Farma Clinic, South Jayapura. The results indicate that the Bayes Theorem method is effective in supporting the early diagnosis of dental diseases in an objective and measurable manner; however, the diagnostic results still require further confirmation by professional medical personnel.
Perancangan Desain User Interface dan User Experience Web APE Barbershop Menggunakan Figma Dengan Metode Human Centered Design (HCD) & Pengujian System Usability Scale (SUS) Putra Hidayatullah
Tamilis Synex: Multidimensional Collaboration SPECIAL ISSUE Tamilis Synex: Multidimensional Collaboration 2025
Publisher : CV Edujavare Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70610/tls.vi.861

Abstract

The development of digital technology requires service businesses such as barbershops to have an attractive, informative, and easily accessible online platform for users. A well-designed user interface (UI) and user experience (UX) play an important role in creating a first impression, increasing customer satisfaction, and loyalty. This study aims to design the UI/UX of the Ape Barbershop profile website using the Human Centered Design (HCD) approach and conduct usability testing with the System Usability Scale (SUS). The HCD method applied consists of three main stages, namely Inspiration, Ideation, and Implementation. At the Inspiration stage, observations and questionnaires are distributed to prospective users to explore the needs, preferences, and obstacles experienced when accessing barbershop information online. The Ideation stage produces a design of interaction flows, information structures, and UI elements based on the results of the user needs analysis. Furthermore, the Implementation stage realizes the website prototype and tests it on users using the SUS method. The test results show that the final design has a good level of usability with a SUS score of 85%, which is included in the "Excellent" category. This shows that the HCD approach is able to produce website designs that are in accordance with user needs and preferences. This study concludes that the application of HCD and evaluation using SUS is an effective combination in producing optimal UI/UX designs for web-based services such as barbershops.