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Gameology and Multimedia Expert
Published by Universitas Malikussaleh
ISSN : -     EISSN : 30318963     DOI : https://doi.org/10.29103/game.v1i1.14554
Core Subject : Science,
Computer Science & IT
Gameology and Multimedia Expert is a scientific journal published by the Department of Informatics, Faculty of Engineering Universitas Malikussaleh, Aceh. This journal contains scientific papers from Academics, Researchers, Practitioners, and Students about research on Game Development and Multimedia. Gameology and Multimedia Expert is published 4 (four) times a year in January, April, July and October. The paper is an original script and has a research base on Game Development and Multimedia. The manuscript is written in Indonesian or English language.
Arjuna Subject : Ilmu Komputer (semua kategori) - Grafik Komputer dan Desain Berbantu Komputer
Articles 56 Documents
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Adoption and Effectiveness of Artificial Intelligence Applications in Improving Student Educational Performance: A Case Study of Badakhshan University, Afghanistan Mohammadullah Shirpoor; Abdul Wajid Fazil; Assadullah Mohammadi
Gameology and Multimedia Expert Vol. 3 No. 1 (2026): Gameology and Multimedia Expert - January 2026
Publisher : Department of Informatics Faculty of Engineering Universitas Malikussaleh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29103/game.v3i1.25904

Abstract

The rapid advancement of artificial intelligence (AI) technologies has transformed educational practices worldwide; however, their adoption and effectiveness in developing countries, such as Afghanistan, remain limited. At Badakhshan University, students face challenges including limited digital literacy, infrastructural constraints, and uneven access to AI tools, which may hinder their academic performance. This study aims to examine the adoption of AI applications among students and evaluate their impact on educational outcomes. A quantitative case study was conducted involving 150 undergraduate students from four faculties: Computer Science, Economics, Education, and Agriculture. Data were collected using a structured questionnaire and analyzed through descriptive statistics. The findings reveal that most students possess moderate to high awareness of AI tools, with frequent usage reported for assignments, exam preparation, and concept clarification. AI applications were found to improve understanding of concepts, learning motivation, assignment completion, and overall academic performance. Challenges such as limited internet access, lack of technical skills, and insufficient institutional support were identified as barriers to effective adoption. In conclusion, AI technologies can significantly enhance learning outcomes at Badakhshan University, provided that infrastructural, technical, and training challenges are addressed. Strategic implementation of AI can foster equitable access and improve educational performance across faculties.
Implementation Of AES Algorithm For Text Message Encryption And Decryption Process Sukiman, T. Sukma Achriadi; Sandy, Cut Lika Mestika; Meiyanti, Rini; Rizal, Reyhan Achmad; Anshari, Said Fadlan
Gameology and Multimedia Expert Vol. 3 No. 1 (2026): Gameology and Multimedia Expert - January 2026
Publisher : Department of Informatics Faculty of Engineering Universitas Malikussaleh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29103/game.v3i1.25923

Abstract

In the development of secure digital communication, the Advanced Encryption Standard (AES) algorithm particularly the AES-128 variant plays a crucial role in maintaining the confidentiality and integrity of textual data transmitted over public networks. This study aims to design, implement, and analyze a web application prototype for the encryption and decryption process using the AES-128 algorithm based on the PyCryptodome library in the Python programming language, executed through the Flask framework. The developed system offers a simple user interface that allows users to input encryption keys and text, and obtain results in real time. Strict input length validation is applied to ensure that the cryptographic process runs optimally. Testing results show that AES-128 can be efficiently implemented in a lightweight web server environment, with fast processing time and high accuracy. Although the system uses ECB mode, which has known security weaknesses, the prototype is effective for small-scale text communication needs. This study also recommends further development using CBC mode and authentication features to enhance security.
Development of a Digital Game-Based Word-Guessing Learning for Ice-Breaking Activities Haq, Muh Dliyaul
Gameology and Multimedia Expert Vol. 3 No. 2 (2026): Gameology and Multimedia Expert - April 2026 (In Press)
Publisher : Department of Informatics Faculty of Engineering Universitas Malikussaleh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29103/game.v3i2.26036

Abstract

Student disengagement remains a persistent challenge in primary education, particularly in classrooms dominated by passive instructional approaches. This study aimed to develop and evaluate a digital word-guessing game designed as an ice-breaking learning activity using an AI-assisted rapid prototyping approach. The game was developed using Canva AI as a no-code platform to enable efficient and iterative design. User testing was conducted with 30 primary school students in Grades 4–6 to examine students’ perceptions of the game across seven dimensions: collaboration, affective engagement, cognitive agility, creative thinking, attention/focus, behavioral engagement, and usability. Data were collected using a five-point Likert-scale questionnaire and supported by classroom observations. The results showed consistently high mean scores across all assessed aspects, indicating that the game was perceived as enjoyable, easy to use, and effective in promoting teamwork, sustained attention, and rapid thinking. The findings demonstrate that short-duration digital games can function as effective pedagogical micro-interventions when systematically designed and embedded within classroom routines. This study contributes to the literature by reconceptualizing ice-breaking activities as intentional digital learning tools and by proposing a replicable AI-assisted rapid prototyping framework for developing scalable, classroom-ready educational games without advanced programming expertise.
A Hierarchical Weighted Role Attribute Decision Support Framework for Automated Best XI Selection and Formation Strategy in Football Manager Simulation Retno, Sujacka
Gameology and Multimedia Expert Vol. 3 No. 2 (2026): Gameology and Multimedia Expert - April 2026 (In Press)
Publisher : Department of Informatics Faculty of Engineering Universitas Malikussaleh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29103/game.v3i2.26743

Abstract

Football team management involves complex decision-making processes that require evaluating high-dimensional player attributes while accounting for positional roles and tactical structures. Modern football simulation environments, such as Football Manager, provide rich datasets suitable for exploring decision-support approaches to lineup selection and formation planning. This paper proposes a hierarchical role-based scoring framework for automated best XI selection and formation-based role assignment. The method organizes player attributes into role-specific groups and applies weighted aggregation to reflect positional relevance, producing interpretable role scores for eight football positions. The framework is evaluated using a full-season simulation on a real club dataset, comparing three lineup strategies: default AI tactics, mean-based attribute scoring, and the proposed hierarchical weighting approach. Results demonstrate that the weighted scoring framework achieves substantially improved league performance under the evaluated conditions, as reflected by higher points accumulation and improved goal difference compared to baseline methods. The findings highlight the importance of structured role modeling in football analytics and support the use of simulation-based environments as valid testbeds for decision-support systems. The proposed approach is intended to assist, rather than replace human managers, offering analytical recommendations that enhance tactical decision-making in football simulations and serious games.
The Psychological Impact of Information and Communication Technology on Human Behavior and Mental Health: A Case Study of Kabul University, Afghanistan Munir Ahmad Haqhparast; Abdul Wali Sirat; Bilal Himmat
Gameology and Multimedia Expert Vol. 3 No. 2 (2026): Gameology and Multimedia Expert - April 2026 (In Press)
Publisher : Department of Informatics Faculty of Engineering Universitas Malikussaleh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29103/game.v3i2.26668

Abstract

The rapid proliferation of Information and Communication Technology (ICT) has fundamentally transformed human interaction, cognition, and psychological well-being globally. In developing nations like Afghanistan, this transformation carries unique socio-cultural complexities that remain largely understudied. This study investigates the psychological impact of ICT usage on human behavior and mental health among students at Kabul University, Afghanistan. A mixed-methods approach was adopted, combining a structured questionnaire survey (n = 320) administered to undergraduate and postgraduate students with semi-structured interviews (n = 30). Validated instruments including the Internet Addiction Test (IAT), the Generalized Anxiety Disorder scale (GAD-7), and the Patient Health Questionnaire (PHQ-9) were employed. Quantitative data were analyzed using SPSS v.26, applying descriptive statistics, Pearson correlation, and multiple regression. Thematic analysis was conducted for qualitative data. Findings revealed that 38.4% of respondents exhibited moderate to severe internet addiction symptoms. Significant positive correlations were found between excessive ICT use and levels of anxiety (r = 0.61, p < 0.01) and depression (r = 0.54, p < 0.01). Qualitative themes indicated that ICT facilitated academic learning and social connectivity, while simultaneously contributing to sleep disturbance, social isolation, and reduced attention span. ICT exerts a dual influence on mental health at Kabul University   offering educational and communicative benefits while posing significant psychological risks, particularly for heavy users. Institutional interventions, digital literacy programs, and mental health support services are urgently recommended.
Adopting Big Data Technologies in Telecommunications: A Case Study of ATOMA, Afghanistan Sadiq Aminzai; Amir Kror Shahidzai
Gameology and Multimedia Expert Vol. 3 No. 2 (2026): Gameology and Multimedia Expert - April 2026 (In Press)
Publisher : Department of Informatics Faculty of Engineering Universitas Malikussaleh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29103/game.v3i2.26811

Abstract

The telecommunications sector generates vast and rapidly growing data volumes, rendering traditional Relational Database Management Systems (RDBMS) insufficient for modern analytical demands. This paper investigates ATOMA's (Advanced Telecom Operations and Mobility of Afghanistan) strategic transition from a legacy Oracle-based data warehouse to a distributed Big Data ecosystem comprising Hadoop, Apache Spark, and Apache Kafka. Drawing on qualitative case study methodology, data were collected from 15 purposively selected IT professionals across eight functional teams using a structured questionnaire. Thematic analysis was conducted through the Technology-Organization-Environment (TOE) framework and the Migration Lifecycle Model. Findings reveal that ATOMA's primary migration drivers include Oracle scalability limitations, batch-reporting inefficiencies, missing Call Detail Records (CDRs), absence of real-time analytics, and cost reduction imperatives. Participants identified data migration complexity, skill gaps, system integration challenges, and change management as the most significant barriers. Anticipated benefits across all teams consistently highlighted real-time reporting, improved fraud detection, enhanced customer analytics, and open-source cost optimization. The paper proposes a Phased Big Data Adoption Framework (PBAF) tailored to telecom operators in fragile, resource-constrained environments comprising five stages: Assessment, Pilot, Hybrid Operation, Full-Scale Deployment, and Optimization. Findings are directly applicable to telecom operators in emerging markets facing analogous legacy-system migration challenges.

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