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Journal : International Journal of Computer and Information System (IJCIS)

Artificial Intelligence System Integrated With Smartphone Application For Early Detection Of Stunting Based On Toddler Growth Index Iskandar, Dwi; Putri, Frestiany Regina; Kusuma, Junianto Chandra; Saputro, Rizal Tommy
International Journal of Computer and Information System (IJCIS) Vol 5, No 3 (2024): IJCIS : Vol 5 - Issue 3 - 2024
Publisher : Institut Teknologi Bisnis AAS Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29040/ijcis.v5i3.185

Abstract

Toddlers have certain characteristics and needs that require growth monitoring. Toddlers will experience a period called the "Golden age" which is a period of experiencing a golden period in early life. What needs to be considered during the Golden Age of Toddlers is the record of weight, height, and head circumference of the child at each visit, then the results are recorded using the Healthy Menu Card. Collaboration between Artificial Intelligence and IoT can provide innovative and effective solutions, these two fields of science can be collaborated with IoT Sensors for measuring weight and height, data collection and storage, AI systems for data analysis, providing recommendations, notification systems and monitoring. The method used to complete this research is a literature study and data collection to find reference materials, design technology concepts, development preparation, hardware assembly, Arduino IDE coding, uploading coding to hardware, PHP (Hypertext Preprocessor) coding, uploading PHP (Hypertext Preprocessor) Code to hosting, coding .Apk (Android Package), technology trials. This application is available on two platforms, namely web-based and Android. Everyone can weigh, but to record data to the system, users must register to get an account and QR code. QR code is used to transfer weight and height data into the system, and the account allows the user to view all weighing data and history. The system also displays a graph containing height, weight, and upper and lower limits of ideal weight.
Development of an Intelligent Chatbot with Voice Recognition Features to Assist Users in Analyzing PDF Documents at Politeknik Indonusa Surakarta Wijaya, Rakyan Duta; Iskandar, Dwi; Putri, Frestiany Regina
International Journal of Computer and Information System (IJCIS) Vol 6, No 3 (2025): IJCIS : Vol 6 - Issue 3 - 2025
Publisher : Institut Teknologi Bisnis AAS Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29040/ijcis.v6i3.246

Abstract

This study aims to design an intelligent chatbot system integrated with voice recognition features to assist users in efficiently and interactively analyzing the content of PDF documents. The background of this system development stems from the difficulties many users face in understanding and extracting information from complex and lengthy digital documents. Adopting a Research and Development (R&D) approach based on the ADDIE model, this study develops a system prototype that allows users to issue commands via voice or text, and then receive responses in the form of summaries, specific answers, or information retrieval from PDF files. Although still in the design stage, this study has identified key components such as the voice recognition module, natural language processing (NLP), and PDF parser. The system evaluation plan involves testing accuracy, response relevance, and user comfort through limited simulations. Planning results indicate that the system holds significant potential in supporting educational, research, and administrative activities, although it still faces technical challenges such as voice accent variations and complex document structures. With further development that considers efficiency and sustainability, this system is expected to become a smart solution for digital document management.
Smart Chatbot Design to Support PDF Document Analysis at Politeknik Indonusa Surakarta Hanindya, Ian; Iskandar, Dwi; Putri, Frestiany Regina
International Journal of Computer and Information System (IJCIS) Vol 6, No 3 (2025): IJCIS : Vol 6 - Issue 3 - 2025
Publisher : Institut Teknologi Bisnis AAS Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29040/ijcis.v6i3.247

Abstract

The increasing volume of academic documents in PDF format presents challenges for students, lecturers, and academic staff in quickly accessing specific information. This study proposes the design and development of an intelligent chatbot system that facilitates semantic analysis of academic PDF documents at Politeknik Indonusa Surakarta. The system integrates Natural Language Processing (NLP) techniques and a Large Language Model (LLM), specifically GPT-4, using the Langchain framework to interpret user queries and deliver context-aware responses. The Research and Development (R&D) methodology was applied using a 4D model: Define, Design, Develop, and Disseminate. A prototype was developed with capabilities such as extracting content, summarizing sections, and answering user queries based on uploaded academic PDFs. Functional and usability testing were conducted using real academic documents. The results indicate high response accuracy (90%) and strong user satisfaction (score: 4.5/5), validating the system’s performance. The chatbot demonstrated its ability to support academic services by improving access to unstructured knowledge and streamlining information retrieval. Despite its potential, the system also faces challenges including PDF structure variations, dependency on third-party APIs, and the need for data privacy safeguards. This research provides a foundation for future implementations of AI-powered educational tools, suggesting further development such as multilingual support, voice interaction, and institutional integration.