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All Journal Instal : Jurnal Komputer
Mentari, Risca Sri
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Computer Science & IT Decision Sciences, Operations Research & Management

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Expert System for Diagnosing Gastric Disease Using the Forward Chaining Method Andriani, Tuti; Mentari, Risca Sri; Situkkir, Meiarni; Nasution, Darmeli
Bahasa Indonesia Vol 16 No 02 (2024): Instal : Jurnal Komputer
Publisher : Cattleya Darmaya Fortuna

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54209/jurnalinstall.v16i02.226

Abstract

Health is the most crucial aspect of life, as it signifies a state of well-being and vitality. Gastric diseases pose a significant health concern, often requiring prompt and accurate diagnosis for effective treatment. In this study, an expert system utilizing the forward chaining method is developed to aid in diagnosing gastric diseases. The system aims to streamline the diagnostic process, providing users with timely and reliable results to facilitate early intervention and management of stomach disorders. Through the integration of technology and medical expertise, this system offers a valuable tool in enhancing healthcare delivery and improving patient outcomes in the realm of gastric health. The research findings highlight the effectiveness of an expert system employing the forward chaining method in diagnosing gastric diseases. The system demonstrates the capability to efficiently identify and assess symptoms related to stomach disorders, offering users a reliable and accessible platform for obtaining accurate diagnostic results. By leveraging current knowledge base rules and user-provided symptom data, the system enhances the diagnostic process, potentially reducing both time and costs associated with diagnosing gastric diseases. This study underscores the significance of technological advancements in healthcare, particularly in the realm of gastric health, by providing a valuable tool for early detection and management of stomach disorders.
Methods for Using Tracking Trees to Determine an Ant's Path on a Cartesian Plane via Breadth-First Search Khairul; Andriani, Tuti; Mentari, Risca Sri
Bahasa Indonesia Vol 15 No 02 (2023): Instal : Jurnal Komputer Periode (Juli-Desember)
Publisher : Cattleya Darmaya Fortuna

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54209/jurnalkomputer.v15i02.153

Abstract

Because scientific knowledge is expanding at such a dizzying rate, it is essential that society keeps up with technological trends. It is clear from the evolution of this technology that the utilisation of computers as a means to facilitate work and enhance efficiency and effectiveness is also on the rise. Here we see an issue with Artificial Intelligence (AI), a subfield of computer science concerned with teaching computers to mimic human intelligence. When first developed, computers were mostly used for calculations. But computers are becoming more and more integral to human existence. Computers are now expected to be capable of performing any task that a human being can. Their original purpose has expanded beyond simple calculation. Because of our vast store of information and vast experience, we are capable of fixing any problem that arises. One gets more knowledgeable as one learns. An individual's problem-solving abilities are directly proportional to their level of knowledge. The ability to reason, to derive conclusions from one's own knowledge and experience, is an essential complement to one's level of knowledge
Co-Authors Khairul Nasution, Darmeli Situkkir, Meiarni Tuti Andriani