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Stefani Natalia Kaka Daha; Andreas Ariyanto Rangga; Katarina Yunita Riti

Venus: Jurnal Publikasi Rumpun Ilmu Teknik 2025 Asosiasi Riset Ilmu Teknik Indonesia

Gastric disease is a common health problem that can disrupt daily activities if not properly treated. To aid the initial diagnosis process, this study developed a web-based expert system capable of diagnosing various types of gastric disease based on the symptoms experienced by the user. This system uses the Dempster-Shafer method to address uncertainty in decision-making by combining a number of pieces of evidence in the form of symptoms to determine the level of confidence in a disease. The system was developed using the PHP programming language and a MySQL database and designed for easy browser access. Testing demonstrated that the system was able to provide fairly accurate diagnostic results that closely approximated the results of consultations with medical professionals. This system is expected to become an initial solution for the public in quickly and independently recognizing symptoms of gastric disease.  

Nadia Nurhafiza; Rusmin Saragih; Melda Pita Uli Sitompul

Merkurius : Jurnal Riset Sistem Informasi dan Teknik Informatika 2025 Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Hirschsprung’s disease is a congenital disorder caused by abnormal nerve cell development in the large intestine, leading to chronic intestinal obstruction in infants. This condition often manifests through symptoms such as constipation, abdominal distension, vomiting, and failure to thrive. The weak immune system of infants makes them highly susceptible to bacterial infections and further complications. At Bidadari General Hospital, there were 110 patients suspected of having Hirschsprung’s disease. One of the major challenges in managing these cases is the limited number of medical specialists, particularly pediatricians and pediatric surgeons, resulting in long waiting times for accurate diagnosis, especially during peak service hours. To address this issue, this study applies the Dempster-Shafer method in an expert system to assist in diagnosing Hirschsprung’s disease based on clinical symptoms. The method effectively handles uncertainty and combines multiple pieces of medical evidence to produce more accurate diagnostic probabilities. The analysis results show that from the selected symptoms, the highest diagnosis probability corresponds to short-segment Hirschsprung’s disease with a confidence level of 71.54%. These findings suggest that the Dempster-Shafer method can serve as an effective alternative tool to support early and accurate diagnosis of Hirschsprung’s disease in infants.

Aditya Revaldo; Imamulhakim Syahid Putra

Merkurius : Jurnal Riset Sistem Informasi dan Teknik Informatika 2025 Asosiasi Riset Teknik Elektro dan Informatika Indonesia

This study aims to evaluate user satisfaction with the Inspekta Application at PT PLN UP2D S2JB using the PIECES Framework approach, which covers six key aspects: Performance, Information, Economy, Control, Efficiency, and Service. Data was collected through questionnaires distributed to 30 respondents who are active users of the application. The analysis results show that all PIECES indicators scored in the "satisfied" category, with the highest score in the efficiency aspect (4.14) and the lowest in the economic aspect (3.80). Although the Inspekta application has generally had a positive impact on operational efficiency and reporting processes, improvements are still needed in data security and technical support. This study offers strategic recommendations to enhance application quality and support the organization’s overall performance.

Maulana, Anwar; Herdian, Faldy

Jurnal Riset Rumpun Ilmu Ekonomi 2025 Lembaga Pengembangan Kinerja Dosen

Currently, MD Drafika faces challenges due to a lack of proper inventory management, such as safety stock regulations and reorder schedules. This has led to inventory levels that often fail to meet customer demand. The objective of this research is to optimize inventory costs at MD Drafika to enhance cost efficiency. This study employs a descriptive quantitative method, utilizing data collected through observation and interviews to explain the relevant aspects of the research object. The results of the research reveal an optimal order quantity and a reduction in inventory costs. Inventory optimization was achieved by adjusting safety stock levels and reorder points. The calculations for 2023 showed an optimal order quantity of 3,349 pieces, with four purchasing cycles within the period. The safety stock was determined to be 945 pieces, and the reorder point was 992 pieces. The cost difference between the EOQ method and the company’s current approach amounted to IDR 1,179,928.