Al'Adzkiya International of Computer Science and Information Technology Journal
Computer Science, Computer Engineering and Informatics: Data Science Artificial Intelligence, Machine Learning, Neural Network, Computer Architecture, Parallel and Distributed Computer, Pervasive Computing, Computer Network, Embedded System, Human—Computer Interaction, Virtual/Augmented Reality, Computer Security, Software Engineering (Software: Lifecycle, Management, Engineering Process, Engineering Tools and Methods), Programming (Programming Methodology and Paradigm), Data Engineering (Data and Knowledge level Modelling, Information Management (DB) practices, Knowledge Based Management System, Knowledge Discovery in Data), Network Traffic Modelling, Performance Modelling, Dependable Computing, High Performance Computing, Computer Security, , Networking Technology, Optical Communication Technology, Next Generation Media, Robotic Instrumentation, Information Search Engine, Multimedia Security, Computer Vision, Distributed Computing System, Mobile Processing, Next Network Generation, Computer Network Security, Natural Language Processing, Cognitive Systems. Management Informatics, Information System and developmental economics : Human-Machine Interface, Stochastic Systems, Information Theory, Intelligent Systems, IT Governance, Smart City, e-Learning, Business Intelligence, Information Retrieval, Business Process, Financial Technology (Fintech). Telecommunication and Information Technology: Modulation and Signal Processing for Telecommunication, Information Theory and Coding, Antenna and Wave Propagation, Wireless and Mobile Communications, Radio Communication, Communication Electronics and Microwave, Radar Imaging, Distributed Platform, Communication Network and Systems, Telematics Services and Security Network. Instrumentation and Mathematics: Optimal, Robust and Adaptive Controls, Non Linear and Stochastic Controls, Modelling and Identification, Robotics, Image Based Control, Hybrid and Switching Control, Process Optimization and Scheduling, Control and Intelligent Systems, Artificial Intelligent and Expert System, Fuzzy Logic and Neural Network, Complex Adaptive Systems.
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Patient Data Processing Information System at the Dolok Masihul Health Center Using the Waterfal Method
Diva, Azri Anggara
Al'adzkiya International of Computer Science and Information Technology (AIoCSIT) Journal Vol 6, No 1 (2025)
Publisher : Al'Adzkiya
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DOI: 10.55311/aiocsit.v6i1.332
This patient data processing information system is a system for managing patient data and documents including patient identity, examination results and other services that have been provided to patients. As for the patient data processing system and report generation at the Puskesmas, the processing is still manual and still uses bookkeeping media and takes up a lot of space. Therefore, patient care at the Health Center becomes less effective and efficient. By using the website as a tool in data processing, it can facilitate the processing of medical record data and make reports in an easier and more efficient way and can save the space provided. The method used in building this website application uses the waterfall method which starts from analysis, design, coding, testing, implementation and maintenance. Patient data processing information systems play an important role in improving services at the Dolok Masihul Health Center, making it easier for the Health Center to process patient data, visit data, patient medical records and reports.
Expert System for Diagnosing Autism Spectrum Disorder (ASD) in Children Using the Forward Chaining Method (Case Study of the Bina Ananda Mandiri Foundation)
Evansyah, Muhammad
Al'adzkiya International of Computer Science and Information Technology (AIoCSIT) Journal Vol 6, No 1 (2025)
Publisher : Al'Adzkiya
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DOI: 10.55311/aiocsit.v6i1.338
Autism Spectrum Disorder (ASD), more commonly known as autism, is a neurological disorder that can affect a child's development. ASD is one of five types of disorders, including: Autistic Disorder (AD), Asperger Syndrome (AS), Childhood Disintegrative Disorder (CDD), Pervasive Developmental Disorder, and Rett Syndrome. At the Bina Ananda Mandiri Foundation, psychologists only visit once a year to diagnose ASD symptoms. With advancements in technology and various new innovations, the limitations of expert personnel and their knowledge can be addressed through technological progress. One step to address the shortage of experts is through the development of an expert system. The purpose of creating this expert system is to diagnose ASD and provide information and solutions to parents who have children with autism. The process in this expert system begins with data collection using the forward chaining method. The data is then processed according to established rules to generate conclusions as solutions to the problem. Developed using the PHP programming language, the ASD diagnosis expert system has been tested for accuracy using real-world case data with a value of 80%. The system effectively detects early signs of autism and presents the likelihood that a child may have autism.