cover
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
ISSN : 26151898     EISSN : 26158159     DOI : https://doi.org/10.31149/ijhcs.v7i1
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.
Articles 417 Documents
A Dual-Protocol File Transfer Application: Balancing Speed and Reliability in Peer-to-Peer Networks Rajasekaran, G; Rajest, S. Suman; Regin , R; Sameer Ali , M. Mohamed; Kumar, S. Ramesh
International Journal on Human-Computing Studies Vol. 7 No. 1 (2025): 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.v7i1.5467

Abstract

In today’s digital era, secure and efficient file transfer mechanisms are crucial as digital communication becomes increasingly prevalent. This paper presents a File Transfer Application that enables collaborative file sharing among multiple users over a network. The application uses a client-server architecture, integrating UDP for fast communication and TCP for secure and reliable file transfers. The server manages client registrations, maintains a dynamic table of active users, and broadcasts file availability updates, fostering real-time collaboration. Clients register with the server by sending their details and receive a list of online peers. Users can share files or request them directly from others, promoting peer-to-peer interaction. A simple command-line interface allows easy navigation, making the application accessible to users with varying technical backgrounds. File transfers utilize TCP to ensure data integrity, while UDP handles lightweight communication, minimizing latency. The system allows clients to disconnect gracefully, updating the server and other users accordingly. Tested in various environments, including simulations on a single machine, the application demonstrates its robustness in handling concurrent users effectively. This paper not only highlights key networking and socket programming concepts but also lays the groundwork for future enhancements like encryption and authentication, ensuring secure, scalable digital file sharing.
The Implementation of a Web-Based Outdoor Equipment Rental System Design (Case Study: L3 Adventure) Dulkarnain, As’ad; Eviyanti, Ade
International Journal on Human-Computing Studies Vol. 7 No. 3 (2025): 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.v7i3.5484

Abstract

The advancement of information technology has transformed work methods and data management, especially among Gen Z. UMKM L3 Adventure, which rents out camping equipment, still uses manual processes for booking and data management. The COVID-19 pandemic highlighted the need for adopting an online booking system to reduce physical contact and enhance operational efficiency. This research aims to develop a web-based information system for L3 Adventure, focusing on designing an efficient and accessible online camping equipment booking system. A qualitative and quantitative approach was used, with structured surveys conducted at L3 Adventure in Sukodono, Sidoarjo. Data was collected through observation, interviews, and relevant literature. The research findings indicate that the web-based system improves data management and booking efficiency. The system employs a waterfall design model and was tested using the blackbox method to ensure its functionality. This study contributes to the development of outdoor equipment rental information systems, aiming to enhance efficiency and user experience at L3 Adventure.
Design and Build The Game "Mickey Adventure Saves His Friend From Monsters" Using The Finite State Machine Method Arifudin, Muchamat David; Taurusta, Cindy; Suprianto, Suprianto
International Journal on Human-Computing Studies Vol. 7 No. 3 (2025): 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.v7i3.5485

Abstract

A few years ago, during the pandemic, people tended to experience high levels of stress because they considered the coronavirus to be a dangerous virus, resulting in psychological impacts in the form of fear, anxiety, and stress. To reduce stress due to the pandemic, people work around it by playing games. So with this, the author wants to make a game with the Adventure genre is a good solution in relieving stress during the pandemic, besides that adventure games are games that are easy to understand by all people, from children to adults. Besides relieving stress, Adventure games can train patience and decision-making.
Artificial Intelligence in Stem Programs to Develop Human Capital Hernández, Sonia Benito; Shahy, Rouhollah Iran
International Journal on Human-Computing Studies Vol. 7 No. 2 (2025): 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.v7i2.5488

Abstract

This study analyzes the use of artificial intelligence (AI) tools by students at the Technical University of Madrid (Spain) in science and engineering disciplines, based on a survey of 94 participants. The objective was to identify usage patterns and their relationships with variables such as academic performance, perceived learning, ethics, trust, knowledge, and recommendation. Descriptive statistics and association tests (e.g., chi-square, the Phi, and Cramér’s V) were used to assess the strength of the relationships between categorical variables. The results show that most students have used AI tools for academic purposes and report a positive perception in terms of learning and knowledge. Significant associations were found between AI use and learning-related variables, while others like academic performance and trust did not show statistical significance. Minor gender-based differences were observed, but not statistically significant. These findings suggest a growing normalization of AI use in technical education, where perceptions of usefulness and ethics outweigh the impact on academic performance. The implications are discussed within the framework of designing pedagogical strategies for the responsible integration of AI in higher education.
An Enhanced LSTM-Based Model for Stock Price Forecasting Using Feature Engineering and Advanced Hyperparameter Optimization AlTaie, Marwah Majid Jabbar; Tuama, Murteza Hanoon; Dirchal, Ruaa Oudah; Mashloosh, Wahhab Muslim
International Journal on Human-Computing Studies Vol. 7 No. 3 (2025): 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.v7i3.5555

Abstract

In today's financial market, precise prediction of stock prices is a daunting but critical task. This study provides a detailed description of an advanced LSTM model designed for stock price prediction where the author emphasizes the novel macro features created as well as the hyperparameter tuning performed to achieve the goal of this project. Using a dataset of 600 daily stock prices, the author performed Min-Max normalization and split the dataset into 80% training and 20% testing data for analysis. For 40 epochs, the LSTM model, which contains a single layer of 50 hidden units, was trained using the Adam optimizer and the Mean Squared Error (MSE) was defined as the loss function. The resulting Root Mean Squared Error (RMSE) of 2.85, Mean Absolute Error (MAE) of 2.35, and 0.945 of the R² values achieved in the testing dataset surpasses previously published LSTM approaches. The prediction error distributions, the scatter graphs, as well as loss training and validation plots, and most importantly the MAE and RMSE attest the model's efficient performance and convergence. The overall results support the author’s claim that the model designed provides more utility for financial forecasting. Emphasis on novel feature creation provides a more solid foundation for time series forecasting. New projects may benefit from the use of attention mechanisms, multi-source datasets, and transfer learning which will improve model predictability and generalization capability.
Innovative Ways to Develop Metacompetence in The Context of Digital Technologies Jumanazarovich, Xurramov Anvar; Abdullayevich, Tashkarayev Ibrohim
International Journal on Human-Computing Studies Vol. 7 No. 3 (2025): 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.v7i3.5569

Abstract

The article considers and analyzes the views of leading foreign scientists on the problem of meta-subjectivity within the framework of a competency-based approach to education. Regardless of the scope of implementation, the article is devoted to the problem of developing a competency-based approach to education in the context of expanding the types of competences when considering meta-competence beyond the subject as a methodological approach to search activities. The relevance of the formation of methods of metacognitive activity in the topic is determined by the new conditions of modern human life, which are characterized by high dynamics, lead to uncertainty, unpredictable situations and require continuous effective self-education. The categories of meta-objectivity are identified and the author's definitions of the concepts of meta-competence and meta-competence are proposed.
Theoretical Basis of Leveling Tillage in A Paraplow-Type Slanted-Column Chisel Plow Begmurodovich, Irgashev Dilmurod
International Journal on Human-Computing Studies Vol. 7 No. 3 (2025): 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.v7i3.5571

Abstract

This study presents a comprehensive approach to determining the optimal longitudinal spacing between the lower deep-loosening shanks and the upper working tools of two-tier chisel-type plows. By integrating soil deformation modeling, traction resistance optimization, and both analytical and graphical methods, the research highlights the importance of proper spacing in enhancing soil loosening efficiency. The results show that optimizing this spacing improves soil aeration, reduces traction resistance, and minimizes tool wear, while maintaining soil structure. The study provides analytical formulas and practical engineering guidelines that are essential for the design and calibration of plows used in deep tillage. These guidelines ensure the effective improvement of soil properties and promote energy-efficient operation, making the plows more suitable for sustainable agricultural practices.

Filter by Year

2019 2025


Filter By Issues
All Issue 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