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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 67 Documents
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Comparative Study of Data Synchronization Techniques for Mobile Applications in Network-Constrained Environments Baz Mohammad Nazari; Mohammad Sohaib Saqib; Rohullah Aimaq
Gameology and Multimedia Expert Vol. 3 No. 3 (2026): Gameology and Multimedia Expert - July 2026
Publisher : Department of Informatics Faculty of Engineering Universitas Malikussaleh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29103/game.v3i3.28427

Abstract

The rapid growth of mobile applications across finance, education, healthcare, and social services depends on data synchronization: the process of keeping information shared between a mobile device and a central server consistent, accurate, and current. For millions of users in developing countries such as Afghanistan, where internet connectivity is frequently weak, unstable, or unavailable, synchronization failures are a daily frustration rather than a rare exception. This study conducts a systematic comparative review of data synchronization techniques for mobile applications operating under challenging network conditions, following the guidelines of Kitchenham and Charters. A structured search of IEEE Xplore, ACM Digital Library, SpringerLink, ScienceDirect, and Google Scholar (2010-2026) produced 45 eligible studies after screening and quality appraisal. Four primary synchronization categories were identified and compared across speed, resource consumption, security, stability, and implementation complexity: real-time (push-based), offline-first, API-based (pull-based), and cloud-based synchronization. Real-time synchronization offers the lowest latency under ideal connectivity but degrades sharply when connections drop; offline-first synchronization sustains full read-write functionality during disconnection, at the cost of higher implementation complexity and local storage use; API-based pull synchronization is simplest to implement but loses ground under frequent polling; and cloud-based platforms accelerate development but introduce vendor lock-in and scaling costs. Under low-bandwidth and intermittent connectivity, offline-first architecture consistently ranked first across the reviewed evidence. The study concludes that offline-first design should be the default synchronization strategy for mobile applications targeting network-constrained environments such as Afghanistan, supplemented selectively by real-time or cloud-based components where connectivity allows.
Assessment of Public Key Infrastructure (PKI) and Digital Certificate Security in Public Sector Websites and Webmail Systems in Afghanistan Khosraw Salamzada; Sayed Elham Sadat; Mozamel Jawad
Gameology and Multimedia Expert Vol. 3 No. 3 (2026): Gameology and Multimedia Expert - July 2026
Publisher : Department of Informatics Faculty of Engineering Universitas Malikussaleh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29103/game.v3i3.28447

Abstract

Public Key Infrastructure (PKI) and digital certificates are fundamental to secure web communication by ensuring website authenticity, data confidentiality, and information integrity. As Afghan government institutions increasingly rely on websites and webmail systems to deliver digital services, secure certificate deployment has become essential for protecting sensitive information and maintaining public trust. This study assesses the deployment characteristics and security of PKI and digital certificates across 41 Afghan public-sector websites and 26 publicly accessible webmail systems. A quantitative, non-intrusive assessment was conducted using publicly available certificate and Transport Layer Security (TLS) information. Certificate authorities, validation types, trust chains, cryptographic mechanisms, and deployment practices were evaluated against recognized international cybersecurity standards and best practices. The results show that most public-sector websites use trusted certificate authorities, with Let's Encrypt securing 75.6% of the assessed websites. Certum, Google Trust Services, GlobalSign, and GoDaddy were also identified, while Domain Validation certificates were the predominant certificate type. However, 10 webmail systems (38.5%) generated browser security warnings, indicating weaknesses in certificate deployment or management. Overall, Afghan public-sector organizations have adopted trusted PKI infrastructures, but improvements in certificate management, security monitoring, and compliance with cybersecurity standards are required. These findings provide practical evidence to support stronger cybersecurity governance and improve the security and reliability of government digital services in Afghanistan.
Integrasi Semantic Similarity Berbasis Sentence-BERT pada Non-Player Character dalam Game Edukasi Literasi Rupiah Zeny Arsya Fortilla; Defry Hamdhana; Cut Agusniar
Gameology and Multimedia Expert Vol. 3 No. 4 (2026): Gameology and Multimedia Expert - October 2026
Publisher : Department of Informatics Faculty of Engineering Universitas Malikussaleh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29103/game.v3i4.28143

Abstract

Early financial literacy education, particularly the Cinta, Bangga, Paham (CBP) Rupiah campaign, faces challenges due to the scarcity of interactive educational media capable of dynamically and adaptively assessing student comprehension. This study aims to develop a digital educational game, “RUPI”, which integrates Natural Language Processing (NLP)-based artificial intelligence to automatically evaluate students' open-ended text responses. The methodology employs a hybrid ADDIE-Scrum framework, harmonizing the rigor of instructional design standards with the flexibility of agile software engineering. The primary novelty of this research lies in its dual-evaluation architecture: the fusion of the Sentence-BERT (SBERT) algorithm and Fuzzy Matching embedded within a Non-Player Character (NPC) to process essay texts utilizing Cosine Similarity computations. This integration model empowers the NPC to deliver adaptive feedback precisely tailored to the cognitive reasoning levels and spelling tolerances of primary school children. Furthermore, the learning ecosystem is encapsulated within a robust narrative framework commencing with the introduction of an economic conflict metaphor and culminating in a title-awarding resolution to sustain students' intrinsic motivation. The results demonstrate that the integration between the frontend engine (Construct 3) and the AI server (FastAPI) operates seamlessly via asynchronous communication protocols (AJAX). Pedagogically, the interface design, coupled with visual puzzle mechanics as cognitive icebreakers, is proven to effectively mitigate cognitive load, thereby establishing an immersive, measurable, and scientifically grounded instrument for monetary literacy socialization.
Information Systems and Their Influence on Effective Decision-Making in Government Administration: A Systematic Literature Review Mohammad Sohaib Saqib; Baz Mohammad Nazari; Rohullah Aimaq
Gameology and Multimedia Expert Vol. 3 No. 4 (2026): Gameology and Multimedia Expert - October 2026
Publisher : Department of Informatics Faculty of Engineering Universitas Malikussaleh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29103/game.v3i4.29172

Abstract

This study examines the role of Management Information Systems (MIS) in organizational decision-making, with particular focus on Afghan organizations. Effective decision-making increasingly depends on accurate, timely, and relevant information, yet many organizations in developing countries still rely on manual methods that cause delays, errors, and weak decision outcomes. This paper adopts a systematic literature review (SLR) methodology, synthesizing 30 academic sources on MIS, decision quality, and organizational performance in developing-country contexts, interpreted against the Afghan public and private sector. The analysis shows that MIS improves decision quality by increasing the speed of report generation, reducing manual data-entry errors, and strengthening inter-departmental coordination. Established theoretical models consistently explain how system and information quality translate into better managerial decisions. However, implementation in developing countries such as Afghanistan is constrained by unreliable infrastructure, limited technical skills, resistance to change, weak management support, and poor data quality. The paper concludes that investment in infrastructure, continuous localized training, leadership commitment, and simplified user interfaces can substantially improve MIS performance and organizational decision quality, offering practical guidance for policymakers, organizational leaders, and IT managers in resource-constrained environments.
Enterprise Architecture as a Driver of Digital Transformation in a Fragile State: A Mixed-Methods Case Study of Afghanistan Bilal Himmat; Amir Kror Shahidzay; Mohammad Rashid Sapai
Gameology and Multimedia Expert Vol. 3 No. 4 (2026): Gameology and Multimedia Expert - October 2026
Publisher : Department of Informatics Faculty of Engineering Universitas Malikussaleh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29103/game.v3i4.29286

Abstract

Digital transformation (DT) programmes in fragile states routinely produce fragmented systems, duplicated investment, and outcomes that diverge from strategic intent. Enterprise architecture (EA) is the discipline conventionally prescribed for these pathologies, yet its established frameworks presuppose institutional stability, deep specialist labour markets, and formal governance, none of which characterise a post-conflict economy. This paper reports a pragmatic, convergent parallel mixed-methods case study of Afghanistan that triangulates a survey of 105 public and private sector professionals with seven in-depth interviews with senior leaders. The results expose an adoption paradox: only 16.2% of surveyed organisations maintain a formal EA function, while the minority that do report markedly stronger outcomes in standardisation (M = 4.18), innovation enablement (M = 4.00), and technology risk reduction (M = 3.94). Organisations without EA rate long-term technology planning lowest of all measured items (M = 2.84). DT implementation intensity correlates strongly with perceived DT success (r = .654, p < .001), while sector membership predicts neither success (t(80) = −0.57, p = .572) nor EA adoption (χ²(1) = 0.045, p = .832), indicating a system-wide rather than sector-specific deficit. The dominant barriers are human and contextual rather than technical: a shortage of skilled professionals (M = 3.66) sustained by brain drain, and political and economic instability (M = 3.65). Committed senior leadership emerged as the single decisive enabler. The paper argues that TOGAF, Zachman, and FEAF are mismatched to this environment at the level of embedded assumption, and proposes "EA-Lite," a practitioner-derived model that is lightweight, value-driven, politically savvy, and leadership-centric, together with a revised conceptual framework for leveraging EA in fragile states.
From Shared Tasting to Teaming Up: A Design Case Study of a Food-Based Icebreaker Game Zimu Li; Hisa Maria Martinez Nimi; Juan Carlos Chacon; Algirdas Paskevicius; Kenta Ono
Gameology and Multimedia Expert Vol. 3 No. 4 (2026): Gameology and Multimedia Expert - October 2026
Publisher : Department of Informatics Faculty of Engineering Universitas Malikussaleh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29103/game.v3i4.29501

Abstract

When strangers interact as a team for the first time, they may lack natural topics for conversation. Moreover, traditional icebreaker games centered on self-introduction can also create pressure to speak about oneself. This study developed a prototype food-based icebreaker game that used shared tasting and food guessing and examined participants’ emotional experiences, perceived communication, perceived usefulness for team building, and willingness to team up. A total of 38 participants joined the game and completed the questionnaire measures and open-ended feedback questions. The results showed participants generally had positive emotional experiences and high ratings for game liking, communication, usefulness for team building, and willingness to team up. Open-ended feedback indicated that shared food provided natural topics for conversation and facilitated exchanges about taste, culture, and personal experience. This study argues that in icebreaker games, shared food can support low-pressure initial interaction. With appropriate task difficulty and a structured participation process, shared food can provide meaningful opportunities for participants to exchange their views.
A Comparative Study of LBPH, FaceNet, and ArcFace for Robust Face Verification Under Challenging Conditions Wali Mohammad Wadeed; Nasrullah Rahimi
Gameology and Multimedia Expert Vol. 3 No. 4 (2026): Gameology and Multimedia Expert - October 2026
Publisher : Department of Informatics Faculty of Engineering Universitas Malikussaleh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29103/game.v3i4.29730

Abstract

Face verification is an essential component of biometric authentication, surveillance, and access control systems. However, the reliability of face recognition models can decrease significantly under challenging conditions such as poor illumination, motion blur, and partial facial occlusion. Therefore, a reliable and systematic evaluation of face verification methods is important for selecting appropriate approaches for practical applications. This study employs a quantitative, experimental, and comparative research design to evaluate three face verification methods representing different stages of the field: the traditional texture-based Local Binary Patterns Histograms (LBPH), the deep metric-learning model FaceNet, and the angular-margin-based ArcFace. To ensure a fair comparison, identical preprocessing procedures, verification protocols, and evaluation settings are applied across three widely used benchmark datasets: LFW, AgeDB, and CPLFW. The models are evaluated using accuracy, ROC-AUC, Equal Error Rate (EER), False Acceptance Rate (FAR), False Rejection Rate (FRR), and computational cost. The experimental findings demonstrate that FaceNet and ArcFace substantially outperform the traditional LBPH method across the evaluated benchmarks. Among the three approaches, ArcFace consistently achieves the highest verification accuracy and demonstrates greater robustness under challenging conditions. Overall, the findings indicate that modern deep learning-based methods, particularly ArcFace, provide a more reliable and effective solution for face verification applications requiring high accuracy and robustness, although computational requirements should also be considered when selecting a method for practical deployment

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