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IJHCS
Published by Research Parks Publishing
ISSN : 26151898     EISSN : 26158159     DOI : https://doi.org/10.31149/ijhcs.v7i1
Core Subject : Science, Engineering,
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Neuroscience
The International Journal of Human Computing Studies (IJHCS) publishes original research over the whole spectrum of work relevant to the theory and practice of modern interactive systems of the contemporary world. IJHCS accepts papers in forms of original research articles, review articles, book reviews, case reports, and discussions to answer important and interesting questions of the innovative research points.
Arjuna Subject : Ilmu Komputer (semua kategori) - Aplikasi Ilmu Komputer
Articles 428 Documents
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Tidyroom XR: Extended Reality (XR) Based 3D Bedroom Interior Design Game Using Oculus Quest 2 Mohammad Ikbaar Ath Thoriq; Cindy Taurusta; Nuril Lutvi Azizah; Novia Ariyanti
International Journal on Human-Computing Studies Vol. 8 No. 1 (2026): International Journal of Human Computing Studies (IJHCS)
Publisher : Research Parks Publishers

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31149/ijhcs.v8i1.5767

Abstract

The advancement of Extended Reality (XR) technology, which includes Virtual Reality (VR), Augmented Reality (AR), and Mixed Reality (MR), has created fresh possibilities in multiple areas, such as interior design. This research seeks to create TidyRoom XR, a 3D game for bedroom interior design utilizing XR on the Oculus Quest 2, allowing users to engage directly inside a virtual space. The development process utilizes the Multimedia Development Life Cycle (MDLC) approach, which includes six phases: concept, design, resource gathering, production, evaluation, and distribution. The main goal of this application is to offer a helpful tool for interior designers and general users to visualize and organize bedroom layouts efficiently and precisely. Moreover, the application aims to provide a very engaging experience for creating bedrooms in a virtual setting. The test results reflected favorable results, indicating that the system functioned as intended, featuring an intuitive interface and responsive interactions. The game includes functions for object manipulation like Add, Move, Rotate, Drag, Drop, and Delete, and has two kinds of bedrooms furnished with typical items such as beds, tables, chairs, wardrobes, and drawers. These outcomes indicate that TidyRoom XR can function both as an effective platform for investigating interior design and as an interactive educational resource.
Implementation of an Academic Information Chatbot Based on Retrieval-Augmented Generation (RAG) Using LLaMA 3.1 Mochamad Alfan Rosid; Muhammad Saddam Heykal Bustomy; Suprianto; Hamzah Setiawan
International Journal on Human-Computing Studies Vol. 8 No. 1 (2026): International Journal of Human Computing Studies (IJHCS)
Publisher : Research Parks Publishers

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31149/ijhcs.v8i1.5768

Abstract

Providing fast and accurate academic information is a fundamental requirement for universities. However, users often experience difficulties in efficiently searching for specific information on study program websites. This study aims to develop a Retrieval-Augmented Generation (RAG)-based academic information chatbot that is directly integrated with the Informatics Study Program website at Muhammadiyah University of Sidoarjo. The system was built using the LangGraph architecture, ChromaDB vector database, and LLaMA 3.1 model through the Groq API. Testing was conducted using the RAGAS framework to assess the quality of answers and load testing for system performance. The results showed that the system achieved a Context Precision score of 0.86 and a Faithfulness score of 0.77, indicating high relevance and accuracy of answers. In addition, the implementation of the Groq API resulted in an average response latency of 2.11 seconds with a 94% success rate in load testing. These findings indicate that the RAG-based chatbot is effective in overcoming website limitations in delivering academic information at the Informatics Study Program at Muhammadiyah University of Sidoarjo.
The Use of Facebook Prophet in Predicting Stock Price Razif Zulvikar Hatuwe; Yulian Findawati
International Journal on Human-Computing Studies Vol. 8 No. 1 (2026): International Journal of Human Computing Studies (IJHCS)
Publisher : Research Parks Publishers

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31149/ijhcs.v8i1.5769

Abstract

This study examines the effectiveness of the Facebook Prophet model in predicting stock prices. The data consist of daily stock prices obtained from Yahoo Finance from July 30, 2019 to July 30, 2024, totaling 1,214 observations. A quantitative time series approach was applied by testing several Prophet configurations, including the basic model, the addition of external regressors, parameter tuning, and their combination. Model performance was evaluated using Mean Absolute Error (MAE) and Root Mean Square Error (RMSE). The best results were achieved by the model combining regressors with optimized parameters, producing an MAE of 36.31 and an RMSE of 52.06. Overall, the model provided reasonably accurate predictions for both short- and long-term periods, although bias increased with longer forecast horizons. These findings suggest that Facebook Prophet can be used as a supporting tool for stock price trend analysis based on historical data.
Utilization of Weighted Moving Average for Decision Support Systems for Sales Services and Stock Management Case Study: Soes Merdeka Bread Shop Ayu Setya Ningrum; Irwan A. Kautsar; Nuril Lutvi Azizah; Sukma Aji
International Journal on Human-Computing Studies Vol. 8 No. 1 (2026): International Journal of Human Computing Studies (IJHCS)
Publisher : Research Parks Publishers

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31149/ijhcs.v8i1.5770

Abstract

Business owners are leveraging the rapidly developing advancements in information technology to simplify sales and inventory management. Increasingly dynamic business competition demands that companies provide products at the right time and in the right quantities to meet consumer needs. Toko Roti Soes Merdeka, a MSME specializing in bread and cake sales, faces challenges in managing stock availability without causing excess or shortage of inventory. Based on these problems, the purpose of this study is to design a web-based decision support system using the Weighted Moving Average (WMA) method to forecast sales based on historical data collected from May 18–24, 2025. The WMA method assigns different weights to each period, resulting in more accurate predictions in determining stock requirements for the following period. The results show that the system developed is capable of assisting transaction recording, stock management, and presenting forecasting results automatically and in a structured manner, thereby supporting more effective and efficient decision-making.
Development of the MY PERPUS Digital Library Website at SMA Muhammadiyah 4 Porong Muhammad Najih Fairuzzamani; Mochamad Alfan Rosid; Nuril Lutvi Azizah; Ade Eviyanti
International Journal on Human-Computing Studies Vol. 8 No. 2 (2026): International Journal of Human Computing Studies (IJHCS)
Publisher : Research Parks Publishers

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31149/ijhcs.v8i2.5771

Abstract

The rapid development of information technology has encouraged educational institutions to adopt digital-based systems to improve the effectiveness of administrative management, including school library services. The library of SMA Muhammadiyah 4 Porong still applies a manual system, which causes several problems such as recording errors, difficulties in searching for books, and inefficiency in the borrowing and returning process. This study aims to develop a website-based library information system called MY PERPUS to support library administration and improve service quality. The development method used in this research is the Waterfall model, which consists of requirement analysis, system design, and website development stages. Data were collected through observation and interviews with library staff and visitors. The developed system is equipped with login and registration features, book master data management, borrowing and returning transactions, and book return reminder notifications via Gmail. System testing using the black-box testing method indicates that all features function properly and produce outputs that meet the expected results. Therefore, the MY PERPUS website is able to improve the efficiency of library management, facilitate book searching, and help minimize delays in book returns..
Classification of Sentiment in Reddit Forum Comments using Fine-Tuned IndoBERT (Case Study: Free Nutritious Meal Program) Bram Aji Saka Putra; Suprianto
International Journal on Human-Computing Studies Vol. 8 No. 2 (2026): International Journal of Human Computing Studies (IJHCS)
Publisher : Research Parks Publishers

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31149/ijhcs.v8i2.5772

Abstract

This study analyzes public opinion on the Free Nutritious Meals Program (MBG) policy on the Reddit platform using the IndoBERT model. The study uses a dataset of 6,295 Reddit comments collected from 2024 to 2025. The preprocessing stage implemented a comprehensive suite of textual refinement procedures, encompassing normalization of colloquial language, emoji conversion, and translation into Indonesian to establish linguistic consistency across the corpus. Manual annotation was performed with meticulous care on a balanced dataset of 3,000 comments, evenly allocated among positive, negative, and neutral classes. An 80:20 train–test split was applied to enhance the reliability of model training and evaluation. A fine‑tuned IndoBERT model exhibited outstanding performance, attaining 99.00% for accuracy, F1‑score, and precision. Applied to the full dataset, the model predicted neutral sentiment as predominant (59.44%), followed by positive (34.11%) and negative (6.45%) sentiments, a distribution that suggests a measured and reflective public discourse on the topic. Model reliability was further supported by a mean confidence score of 0.8502 and a processing throughput of 137.93 samples per second, indicating strong potential for deployment as an effective tool for near real‑time sentiment monitoring in public policy contexts.
Predicting Snack Food Production (Pentol) Using Fuzzy Logic Hindarto; Moch Gesang Akbar Jani; Nuril Lutvi Azizah; Cindy Taurusta
International Journal on Human-Computing Studies Vol. 8 No. 2 (2026): International Journal of Human Computing Studies (IJHCS)
Publisher : Research Parks Publishers

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31149/ijhcs.v8i2.5773

Abstract

Fluctuating market demand and limited inventory are challenges in determining the optimal amount of production, especially for small businesses such as meatball snack production. This study aims to determine the addition of meatball production using the Mamdani fuzzy logic method. This system uses three input variables: income, inventory, and sales demand, and one output in the form of the recommended amount of production. Each variable is modeled with a triangular membership function. The case study shows that with an income of Rp650,000, an inventory of 600 pieces, and a demand of 1,500 pieces, the fuzzy system recommends an additional production of 500 pieces. These results prove that the Mamdani fuzzy method is effective in helping production decision making amidst subjective or vague data uncertainty.
Analysis of the Role of Artificial Intelligence (AI) and Blockchain Technology in Improving the Effectiveness of Fraud Detection Audits: A Literature Review Muhammad Alfiyan Putra Jarimanto; Duwi Rahayu
International Journal on Human-Computing Studies Vol. 8 No. 2 (2026): International Journal of Human Computing Studies (IJHCS)
Publisher : Research Parks Publishers

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31149/ijhcs.v8i2.5774

Abstract

The development of digital technology has transformed auditing practices, particularly in improving fraud detection effectiveness. The complexity of financial transactions, large data volumes, and limitations of conventional audit methods have encouraged the adoption of technologies such as Artificial Intelligence (AI) and Blockchain. This study analyzes the role of AI and Blockchain in enhancing audit effectiveness in fraud detection using a systematic literature review (SLR) approach. The method follows PRISMA guidelines by reviewing nationally and internationally indexed articles published between 2022 and 2024. The findings indicate that AI supports large-scale data analysis, anomaly detection, and predictive as well as real-time fraud identification. Meanwhile, Blockchain enhances audit data integrity, transparency, and reliability through an immutable and decentralized recording system. The integration of these technologies promotes a more effective and sustainable auditing system, although challenges remain regarding human resource readiness, technological infrastructure, and ethical and legal considerations.

Page 43 of 43 | Total Record : 428

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