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Implementation of the Simple Additive Weighting Method to Select Tourist Attractions in Jayapura City Reski; Pawan, Elvis; Hasan, Patmawati
International Journal of Applied Research and Sustainable Sciences Vol. 2 No. 3 (2024): March 2024
Publisher : MultiTech Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59890/ijarss.v2i3.1545

Abstract

The study explores the implementation of the Simple Additive Weighting (SAW) method for the selection of the best tourist attractions in Jayapura City. The SAW method is used to calculate the tourist attraction rating based on the criteria that have been established. The study aims to provide recommendations for the best tourist attractions for travelers visiting Jayapura City. Data on various tourist attractions and relevant criteria are collected, then analyzed using the SAW method. The results of research show that the SAW method can be effectively used in selecting the best tourist attraction, helping tourists make better and more satisfactory decisions. Target the test results of the system to the test accuracy level based on a 100% blackbox method, which means the system can be implemented
Implementation of a Forward Chaining Method for Lupus Detection in RSUD Jayapura City Nurul Aprilianti, Ratih; Pawan, Elvis; Irjanto, Nourman S.
International Journal of Applied Research and Sustainable Sciences Vol. 2 No. 4 (2024): April 2024
Publisher : MultiTech Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59890/ijarss.v2i4.1629

Abstract

Implementation of expert system for lupus disease detection at RSUD Jayapura City achieved 100% in functionality testing of 8 forms, showing a high degree of accuracy. The benefits include ease of diagnosis for medical officers and access to information for the public. Integration with Android platforms and forward chaining methods improves diagnostic accuracy, expands use, and increases effectiveness in early identification of lupus disease. This success demonstrates the enormous potential of technology in improving health care and the quality of life of the people.
Expert System for Stunting Diagnosis in Children Using Certainty Factor Method Laku, Veren Verin Valery; Hasan, Patmawati; Pawan, Elvis
International Journal of Applied Research and Sustainable Sciences Vol. 2 No. 5 (2024): May 2024
Publisher : MultiTech Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59890/ijarss.v2i5.1860

Abstract

The development of information technology has affected many aspects of life, including health and education. In Puskesmas Kotaraja, Jayapura, Indonesia, the diagnosis of stunting disease has become a major focus. With the rise in stunting cases following the COVID-19 pandemic, efficient solutions are needed. Specialized systems with certainty factor methods offer accurate and efficient alternatives. This research builds a specialist system to detect stunts in children based on their experience and beliefs. Through previous system testing and problem analysis, this method has proven to be effective in providing accurate diagnostic solutions with a 98.74 degree of confidence. It is expected that this system will help improve the quality of health care in the puskesmas and reduce the cost of patient consultation