cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
Mochamad Nashrullah
Contact Email
Nashrul.id@gmail.com
Phone
+6285745063538
Journal Mail Official
Nashrul.id@gmail.com
Editorial Address
Kavling Banar, Pilang, Sidoarjo, Jawa Timur
Location
Unknown,
Unknown
INDONESIA
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 5 Documents
 1 
Search results for , issue "vol. 8 no. 1 (2026): international journal of human computing studies (ijhcs)" : 5 Documents clear
A Hybrid Anomaly Detection Framework Integrating Self-Supervised Learning and Ensemble Intelligence for Securing IoT Networks Hussein Ali Shakir; Ahmed Younus Ahmed
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.v8i1.5643

Abstract

The fast-tracking development of the Internet of Things (IoT) has led to the networks being subjected to very complex and innovative cyberattacks. As a result, the need for a reliable anomaly detection system has become a severe challenge. In this paper, a hybrid anomaly detection framework called HADES-IoT is presented that is equipped with self-supervised representation learning and ensemble intelligence for the safeguarding of IoT networks. The architecture comprises a deep autoencoder for self-supervised feature embedding, a LightGBM classifier for supervised decision learning, and an Isolation Forest for unsupervised anomaly detection. When applying the TON_IoT dataset from public resources, HADES-IoT achieved nearly perfect results, attaining a ROC-AUC of 0.9998, PR-AUC of 0.9999, and an overall accuracy of 99.85%. The framework not only shows the capacity of strong generalization over the unseen traffic patterns but also through the use of SHAP-based explainability it is demonstrated that the features of packet-level, flow-derived and a few of the latent autoencoder components are the most influential ones in the anomaly detection. The zero-day simulations, on the other hand, underscore the detection of the previously unseen attacks ability of HADES-IoT by the utilization of the unsupervised embeddings. The proposed system is capable of providing a hybrid defense strategy that is scalable, interpretable, and suitable for future IoT infrastructures.
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.

Page 1 of 1 | Total Record : 5

 1 

Filter by Year

2026 2026


Reset
Filter By Issues
All Issue Vol. 8 No. 2 (2026): International Journal of Human Computing Studies (IJHCS) Vol. 8 No. 1 (2026): International Journal of Human Computing Studies (IJHCS) Vol. 7 No. 3 (2025): International Journal of Human Computing Studies (IJHCS) Vol. 7 No. 2 (2025): International Journal of Human Computing Studies (IJHCS) Vol. 7 No. 1 (2025): International Journal of Human Computing Studies (IJHCS) Vol. 6 No. 3 (2024): International Journal of Human Computing Studies (IJHCS) Vol. 6 No. 2 (2024): International Journal of Human Computing Studies (IJHCS) Vol. 6 No. 1 (2024): International Journal of Human Computing Studies (IJHCS) Vol. 5 No. 12 (2023): International Journal of Human Computing Studies (IJHCS) (2615-8159/ 2615-1898 Vol. 5 No. 11 (2023): International Journal of Human Computing Studies (IJHCS) (2615-8159/ 2615-1898 Vol. 5 No. 10 (2023): International Journal of Human Computing Studies (IJHCS) (2615-8159/ 2615-1898 Vol. 5 No. 9 (2023): International Journal of Human Computing Studies (IJHCS) (2615-8159/ 2615-1898) Vol. 5 No. 8 (2023): International Journal of Human Computing Studies (IJHCS) (2615-8159/ 2615-1898) Vol. 5 No. 5 (2023): International Journal of Human Computing Studies (IJHCS) (2615-8159/ 2615-1898) Vol. 5 No. 4 (2023): International Journal of Human Computing Studies (IJHCS) (2615-8159/ 2615-1898) Vol. 5 No. 3 (2023): International Journal of Human Computing Studies (IJHCS) (2615-8159/ 2615-1898) Vol. 5 No. 2 (2023): International Journal of Human Computing Studies (IJHCS) (2615-8159/ 2615-1898) Vol. 5 No. 1 (2023): International Journal of Human Computing Studies (IJHCS) (2615-8159/ 2615-1898) Vol. 4 No. 12 (2022): IJHCS Vol. 4 No. 11 (2022): IJHCS Vol. 4 No. 10 (2022): IJHCS Vol. 4 No. 9 (2022): IJHCS Vol. 4 No. 8 (2022): IJHCS Vol. 4 No. 7 (2022): IJHCS Vol. 4 No. 6 (2022): IJHCS Vol. 4 No. 5 (2022): IJHCS Vol. 4 No. 4 (2022): International Journal of Human Computing Studies (IJHCS) Vol. 4 No. 3 (2022): IJHCS Vol. 4 No. 2 (2022): IJHCS Vol. 4 No. 1 (2022): IJHCS Vol. 3 No. 10 (2021): IJHCS Vol. 3 No. 9 (2021): IJHCS Vol. 3 No. 8 (2021): IJHCS Vol. 3 No. 7 (2021): IJHCS Vol. 3 No. 6 (2021): IJHCS Vol. 3 No. 5 (2021): IJHCS Vol. 3 No. 4 (2021): IJHCS Vol. 3 No. 3 (2021): IJHCS Vol. 3 No. 2 (2021): IJHCS Vol. 3 No. 1 (2021): IJHCS Vol. 2 No. 6 (2020): IJHCS Vol. 2 No. 5 (2020): IJHCS Vol. 2 No. 3 (2020): IJHCS Vol. 2 No. 2 (2020): IJHCS Vol. 2 No. 1 (2020): IJHCS Vol. 1 No. 1 (2019): IJHCS More Issue