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All Journal Jurnal Ilmiah Sistem Informasi An Nafi’; Multidisciplinary Science
Astika Ramadhani
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Religion Humanities Computer Science & IT Social Sciences Other

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Pengembangan Sistem Informasi Perpustakaan Universitas Sepuluh Nopember Papua Dengan Metode Air Terjun Astrin Aprilia Umasugi; Astika Ramadhani; Emy L.Tatuhey; Umasugi, Astrin Aprilia; Ramadhani, Astika; Tatuhey , Emy Lenora
Jurnal Ilmiah Sistem Informasi Vol. 4 No. 3 (2025): November: Jurnal Ilmiah Sistem Informasi
Publisher : LPPM Universitas Sains dan Teknologi Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/msdpvr62

Abstract

This study aims to design and develop a web-based Library Information System at the Sepuluh Nopember University of Papua to support the digitalization of library services in a more efficient and integrated manner. The development method used is the Waterfall model, with a UML-based modeling approach that includes Use Case, Activity, and Class Diagrams. The system is equipped with various features such as book and member management, QR Code-based borrowing and returning, statistical dashboards, automatic report printing, and password encryption using bcrypt to ensure data security. Testing was conducted using the Black-box Testing method to validate that all core functionalities operate as required, and performance testing was performed using Apache JMeter to measure system response time. The results indicate that the system runs stably, with response times within the normal range. However, there are still some limitations, including the absence of an implemented audit log for user activity tracking and the lack of full-scale testing in a production environment. Therefore, this system is expected to serve as an adaptive digital solution in supporting modern library services, especially in Eastern Indonesia.
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

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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.
Co-Authors Astrin Aprilia Umasugi Fiqram Putra Pratama Gonzales H. Marlissa hardiana Lucilla T. Ledious Monika Muhammad Risman Putra Hidayatullah Ramadhani, Astika Rexci Trido Ngaderman7 Tatuhey, Emy Lenora Umasugi, Astrin Aprilia