http://eprints.bsi.ac.id/index.php/paradigma <p>Paradigma is a journal in the field of Computer and Informatics published by LPPM Bina Sarana Informatika and has an ISSN from PDII LIPI, both in print (<a href="https://issn.brin.go.id/terbit/detail/1180431198" target="_blank" rel="noopener">1410-5063</a>) and online version (<a href="https://issn.brin.go.id/terbit/detail/1487727818" target="_blank" rel="noopener">2579-3500</a>). This journal contains scientific research results on the themes of Computer Science, Informatics Engineering, Computer Engineering, Expert Systems, Information Systems, Web Programming, Mobile Programming, Games Programming, Data Mining, Text Mining, Image processing, and Decision Support Systems.</p> <p>Publish Frequency: 2 times a year (March and September)</p> <p>Paradigma has been accredited with <strong>Sinta 3 (S3)</strong> rank by Arjuna Ristekbrin with <strong>Accreditation Decree Number: <a href="https://sinta.ristekbrin.go.id/journals/detail?id=3212" target="_blank" rel="noopener">72/E/KPT/2024</a></strong>, starting Vol. 25, No. 1, year 2023.</p> <p><strong>Please <a href="http://jurnal.bsi.ac.id/index.php/paradigma/about" target="_blank" rel="noopener">click here</a> to view the history of the Paradigma journal.</strong></p> LPPM Universitas Bina Sarana Informatika en-US Paradigma - Jurnal Komputer dan Informatika 1410-5063 <p>Paradigma is an open-access article distributed under the terms of the Creative Commons Attribution-ShareAlike 4.0 International License (https://creativecommons.org/licenses/by-sa/4.0/) , This license permits: <strong>Share </strong>— copy and redistribute the material in any medium or format for any purpose, even commercially, <strong>Adapt </strong>— remix, transform, and build upon the material for any purpose, even commercially.</p> http://eprints.bsi.ac.id/index.php/paradigma/article/view/4765 <p><em>Increased use of mobile devices in recent years has led to a change in human behavior as users. Mobile devices today are being used for a wide range of sectors ranging from entertainment, and business to education. In the field of education, it can be used to interact between teachers and students, and lecturers with students, and can also be done for registration of New Student Admission. The presence of PMB registration through mobile devices can help prospective students apply wherever they are without having to come directly to the campus. It's not implemented by the Indonesian Siber University. (Cyber University). The Cyber University campus is currently implementing New Student Admission registration directly through the campus, so this process is still likely to take a long time. To solve the problem, this study will solve the problem of new student enrolment that is still being done manually to be digitized by building mobile-based applications. The method to be used is the Design Science Research Methodology (DSRM) known as the fast method because it includes the Agile software development model. The programming language used is the Dart-based Flutter framework. As a result of the research carried out, the mobile-based PMB application on the Cyber University was successfully constructed and in line with expectations. Candidate students can download the app on the Google PlayStore with the keyword Cyber PMB</em></p> Yuris Alkhalifi Rino Ramadan Rahdian Kusuma Atmaja Ispandi Ispandi Copyright (c) 2024 Yuris Alkhalifi, Rino Ramadan, Rahdian Kusuma Atmaja, Ispandi https://creativecommons.org/licenses/by-sa/4.0 2024-10-03 2024-10-03 26 2 65 72 10.31294/p.v26i2.4765 http://eprints.bsi.ac.id/index.php/paradigma/article/view/5044 <p><em>Monitoring and diagnosing mental and emotional health is a significant challenge in the healthcare field due to its complex and subjective nature. This research aims to develop an expert system using the Dempster-Shafer method in monitoring and diagnosing mental and emotional health conditions. The Dempster-Shafer method was chosen because of its ability to handle uncertainty and combine various evidence from different information sources. This analysis is designed to identify seven types of mental and emotional illness by considering twenty-four related symptoms. The results of the analysis show that this expert system can provide a more accurate and comprehensive assessment compared to conventional methods. It is hoped that the implementation of this expert system can be an effective tool for medical personnel in making diagnoses and determining appropriate treatment steps for patients with mental and emotional health conditions. This study also highlights the potential of the Dempster-Shafer method in other applications that require evidence-based analysis under uncertainty.</em></p> Asyahri Hadi Nasyuha Dini Fakta Sari Azanuddin Azanuddin Muhammad Hafidz Ady Khoiri Copyright (c) 2024 Asyahri Hadi Nasyuha, Dini Fakta Sari, Azanuddin, Muhammad Hafidz Ady Khoiri https://creativecommons.org/licenses/by-sa/4.0 2024-10-03 2024-10-03 26 2 73 79 10.31294/p.v26i2.5044