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All Journal An Nafi’; Multidisciplinary Science Tamilis Synex: Multidimensional Collaboration
Muhammad Risman
Universitas Sepuluh Nopember Papua
Religion Humanities Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Social Sciences Other

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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.
Optimasi Meminimalkan Biaya Produksi Martabak dan Terang Bulan Menggunakan Metode Grafik Pada Qm For Windows Muhammad Risman; Fiqram Putra Pratama; Raditya Zoe Arkhana; Sultan Abyzet; Gonzales Henpaul Marlissa; Heru Sutejo
Tamilis Synex: Multidimensional Collaboration innovation in the digital era
Publisher : CV Edujavare Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70610/tls.v2i01.364

Abstract

Penelitian ini bertujuan untuk meningkatkan keuntungan produksi Martabak dan Terang Bulan Putra Tegal dengan mengurangi bahan baku dan menggunakan aplikasi QM For Windows V5 metode grafik. Penelitian ini menggunakan pendekatan deskriptif kualitatif untuk memahami proses produksi dan mengurangi biaya bahan baku. Metode Grafik digunakan untuk memprediksi biaya produksi yang diperoleh dari setiap produksi yang dilakukan oleh pedagang martabak dalam jangka waktu 7 hari. Hasil penelitian menunjukkan bahwa menggunakan aplikasi QM For Windows V5 metode grafik dapat mengurangi biaya produksi minimum sebesar 11.760.000 dalam satu seminggu. Penelitian ini berharap dapat memberikan kontribusi pada industri martabak dan mendorong penggunaan teknologi informasi untuk meningkatkan efisiensi produksi. Dalam penelitian ini, aplikasi QM For Windows V5 metode grafik digunakan untuk memprediksi biaya produksi dengan memanfaatkan data historis dan analisis statistik. Dengan demikian, pedagang martabak dapat lebih efektif dalam mengatur produksi dan mengurangi biaya bahan baku. Hasil penelitian ini diharapkan dapat membantu UMKM Martabak dan Terang Bulan Putra Tegal untuk meminimumkan biaya produksi tanpa mengurangi kualitas produk.
Perancangan UI/UX Sistem Informasi Pendaftaran dan Antrian Online Klinik K24 Menggunkan Metode Design Thinking Muhammad Risman; Emy Lenora Tatuhey
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.878

Abstract

The rapid advancement of information technology has brought significant improvements in the efficiency of healthcare services, especially in patient registration systems. Klinik K24 Abepura currently relies on a manual system, leading to long queues, data entry errors, limited access to doctor schedules, and poor data security. This research aims to design an online registration and queue management system using a website platform with the Design Thinking approach, which consists of five stages: Empathize, Define, Ideate, Prototype, and Test. Observations and interviews were conducted to identify user needs. The resulting system allows patients to register online, view real-time doctor schedules, and receive queue notifications. A prototype was developed using Figma for three user roles: patients, doctor assistants, and administrators. Usability testing involving 10 respondents used the System Usability Scale (SUS), resulting in an average score of 81.5, categorized as “Excellent.” The system enhances administrative efficiency, reduces queues, and improves the overall user experience. Additionally, security measures such as encryption and user authentication ensure the protection of sensitive medical data. These findings suggest that the system is feasible and can serve as an adaptive digital solution to existing challenges in healthcare clinic services.
Co-Authors Astika Ramadhani Fiqram Putra Pratama Gonzales H. Marlissa Gonzales Henpaul Marlissa Hardiana Heru Sutejo Lucilla T. Ledious Monika Patmawati Hasan Putra Hidayatullah Raditya Zoe Arkhana Rexci Trido Ngaderman7 Sultan Abyzet Tatuhey, Emy Lenora