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EDUMATIC: Jurnal Pendidikan Informatika
Published by Universitas Hamzanwadi
ISSN : -     EISSN : 25497472     DOI : 10.29408
Core Subject : Science, Education,
Computer Science & IT Education
EDUMATIC: Jurnal Pendidikan Informatika (e-ISSN: 2549-7472) adalah jurnal ilmiah bidang pendidikan informatika yang diterbitkan oleh Universitas Hamzanwadi dua kali setahun yaitu pada bulan Juni dan Desember. Adapun fokus dan skup jurnal ini adalah (1) Komputer dan Informatika dalam Pendidikan; (2) Model Pembelajaran dan Model TIK; (3) Pengembangan Media Pembelajaran Berbasis Teknologi Informatika; (4) Interaksi Manusia dan Komputer; (5) Sistem Informasi dan Teknologi Informasi.
Arjuna Subject : -
Articles 464 Documents
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Advancing Sustainability Education through Narrative Digital Media: A Structural Model of Student Acceptance Deli, Deli; William, William; Audelia, Clara; Syahputra, Bayu
Jurnal Pendidikan Informatika (EDUMATIC) Vol 10 No 1 (2026): Edumatic: Jurnal Pendidikan Informatika
Publisher : Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29408/edumatic.v10i1.34135

Abstract

While teaching the 17 Sustainable Development Goals (SDGs) is important, many schools struggle to keep students interested, often leading to boredom or confusion. This research evaluates a 2D visual novel, Liora Island, for enhancing engagement and reducing cognitive complexity when teaching the SDGs. Using a quantitative associative design and the Technology Acceptance Model (TAM), five variables Perceived Ease of Use (PEOU), Perceived Usefulness (PU), Attitude Toward Using (ATU), Behavioral Intention (BI), and Actual Use (AU) were examined among 139 students at Mondial Senior High School, Batam. Data were analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM). Findings reveal high student acceptance across all TAM constructs. Perceived ease of use emerged as the primary driver of adoption, strongly influencing perceived usefulness and attitude. Attitude toward using significantly predicted behavioral intention, which in turn strongly determined actual use. Perceived usefulness showed smaller but significant effects on attitude and behavioral intention, indicating that usability outweighs instructional value during initial acceptance. This study contributes to sustainability pedagogy by identifying usability as key in reducing "sustainability fatigue." Practically, the results indicate that user friendly, narrative driven media are superior to traditional text heavy methods for communicating complex global challenges in secondary education.
Portable IoT Traffic Light System with Deterministic Cycle Recalculation and Real-Time Remote Configuration Salsabela, Nada Tiyasa; Finnisa, Tsania Camila; Novianto, Sendi
Jurnal Pendidikan Informatika (EDUMATIC) Vol 10 No 1 (2026): Edumatic: Jurnal Pendidikan Informatika
Publisher : Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29408/edumatic.v10i1.34150

Abstract

Traffic control in temporary or emergency situations often requires portable traffic signal systems. However, many existing traffic light systems are designed as fixed infrastructure and limiting portability. This study proposes a portable IoT-based traffic light system with real-time remote configuration and a deterministic cycle recalculation mechanism to ensure coordinated signal operation. The system is implemented using ESP8266 microcontrollers, a web server with database integration, and WebSocket-based real-time communication. Performance evaluation measured synchronization accuracy and network communication quality using Round Trip Time (RTT), one-way delay, and Received Signal Strength Indicator (RSSI). The results show consistent cycle synchronization across all test scenarios, with no observed deviation between the expected and actual cycle durations. Outdoor communication testing demonstrated stable connectivity up to approximately 70 meters, with average RTT increasing from 33.44 ms to 95.44 ms while remaining within acceptable limits for real-time synchronization before degradation beyond 75 meters and connection loss at 80 meters. This study highlights the integration of portability, deterministic synchronization, and real-time configuration within a single system design. The proposed approach offers a flexible and cost-efficient alternative for temporary traffic management applications.
Behaviorally Interpretable Transactional Features for Customer Segmentation Using K-Means in Grocery Retail Aprizal, Rendy Muhammad; Sari, Oktalia Kumala; Bramantoro, Arif
Jurnal Pendidikan Informatika (EDUMATIC) Vol 10 No 1 (2026): Edumatic: Jurnal Pendidikan Informatika
Publisher : Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29408/edumatic.v10i1.34163

Abstract

Customer segmentation based on transactional data is widely used to understand purchasing behavior in retail. However, many existing studies tend to emphasize algorithm performance, with limited discussion on how transactional variables represent actual customer behavior. This study adopts a quantitative approach using transactional sales data from a grocery retail store (Toko Solo Latri), consisting of 10,000 item-level records collected during June 2025. The analysis follows the CRISP-DM framework, covering data understanding, preparation, modeling, and evaluation stages. Customer behavior is represented through several aggregated variables, including transaction frequency, total items purchased, and product diversity. The K-Means clustering algorithm is applied to group customers into meaningful segments. The number of clusters is determined using the Elbow Method and further evaluated using Silhouette analysis. The results reveal three distinct customer segments with different levels of purchase intensity and product diversity. The Silhouette Score of 0.464 indicates a moderate clustering structure. In addition, one-way ANOVA shows significant differences across the observed variables, with large effect sizes (η² ranging from 0.736 to 0.822). These findings suggest that constructing behavior-based transactional features can improve the interpretability of customer segmentation results.
Compliance Without Experience? A Task-Based WCAG 2.1 Evaluation of Mobile Banking in Indonesia Maetam, Fatin; Ratnasari, Chanifah Indah
Jurnal Pendidikan Informatika (EDUMATIC) Vol 10 No 1 (2026): Edumatic: Jurnal Pendidikan Informatika
Publisher : Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29408/edumatic.v10i1.34175

Abstract

Mobile banking applications play a central role in digital financial systems; however, accessibility for users with visual impairments remains insufficiently examined in real task contexts. Existing studies primarily emphasize automated and interface-level assessments, with limited attention to interaction processes during task execution. This study evaluates the accessibility of a widely used mobile banking application in Indonesia using a task-based approach based on WCAG 2.1 Level A and AA criteria. An exploratory descriptive case study was conducted on BRImo (version 2.92.0) using Android 13 and TalkBack 16.2.0. The evaluation integrates manual WCAG inspection, automated testing, and screen reader-based interaction testing across three core tasks: login authentication, balance inquiry, and fund transfer. The unit of analysis focuses on interaction steps within task workflows, examined through a triangulation approach comparing structural compliance and interaction-level outcomes. The findings show substantial partial conformance, with over 70% of Level A and nearly 90% of Level AA criteria categorized as “Supports with Exceptions.” However, critical barriers persist in transactional workflows, including missing labels, inconsistent screen reader feedback, and navigation failures that hinder task completion. These results indicate that WCAG conformance alone is insufficient to ensure functional accessibility, highlighting the distinction between structural conformance and experiential task accessibility.
Integrated Behavioral Perceptual Evaluation for Comparative E-Commerce Web Usability: Evidence from Shopee and Tokopedia Rahma, Mifta Fauzia; Ratnasari, Chanifah Indah
Jurnal Pendidikan Informatika (EDUMATIC) Vol 10 No 1 (2026): Edumatic: Jurnal Pendidikan Informatika
Publisher : Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29408/edumatic.v10i1.34193

Abstract

The growth of e-commerce has intensified competition among digital platforms, making usability a crucial factor in user engagement and convenience. However, many usability studies rely on single-method evaluation approaches, rarely conduct cross-platform comparisons, and seldom examine the relationship between perceived usability and behavioral interaction efficiency. This study compared the web usability of Shopee and Tokopedia by combining subjective usability assessment with eye-tracking analysis. Thirty-nine participants completed search, filter, and cart tasks on both platforms while gaze data were recorded and then completed the USE Questionnaire. The data were analyzed using non-parametric tests and AOI-based eye-tracking metrics. The results showed that both platforms achieved comparable perceived usability and received a “Good” classification. However, eye-tracking findings revealed task-dependent differences in visual attention, particularly during search activities. These findings demonstrate that perceived usability equivalence does not necessarily indicate behavioral interaction efficiency. This study contributes methodologically by proposing an integrated evaluation framework that combines biometric and psychometric measures, and theoretically by providing empirical evidence of the divergence between subjective perceptions and objective behavioral efficiency, with implications for improving visual hierarchy and navigation in e-commerce interfaces.
Gamified Mobile Learning for Teaching the Prophet’s Mandatory Traits in Elementary Education Hanafi, Sakti Chandra; Ratnasari, Chanifah Indah
Jurnal Pendidikan Informatika (EDUMATIC) Vol 10 No 1 (2026): Edumatic: Jurnal Pendidikan Informatika
Publisher : Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29408/edumatic.v10i1.34206

Abstract

The integration of digital media in Islamic elementary education remains limited, particularly in studies that integrate Islamic character education with game-based learning and provide quantitative evidence of learning effectiveness. This study develops and evaluates the usability of an Android-based educational game, Kisah Teladan Rasul, designed to support elementary school students’ understanding of the Prophet’s mandatory traits (ṣidq, amānah, tablīgh, and faṭānah) through gamified mobile learning. A Research and Development approach using the ADDIE model was employed, involving 19 fourth-grade students at SDN Margorejo 2 Pati. The small sample size reflects the exploratory and developmental nature of this study, which prioritizes systematic media development over broad generalizability. Learning improvement was examined through a one-group pretest–posttest design yielding an average N-Gain score of 0.69 (medium category), indicating meaningful improvement in conceptual understanding. Usability was assessed using the System Usability Scale, with a mean score of 90.1, categorized as Excellent (Highly Acceptable). These findings suggest that an Android-based educational game integrating narrative missions, scenario-based challenges, and immediate feedback can serve as effective complementary media in Islamic elementary education. This study contributes by combining systematic instructional design (ADDIE), game-based mobile learning, and empirical usability evaluation within the specific context of Islamic character education.
Utilitarian vs Human-Centered AI Acceptance: Explaining Students’ Adoption of ChatGPT in Higher Education Parameswara, Dwi Angesti Dinda; Berlilana, Berlilana; Saputro, Rujianto Eko
Jurnal Pendidikan Informatika (EDUMATIC) Vol 10 No 1 (2026): Edumatic: Jurnal Pendidikan Informatika
Publisher : Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29408/edumatic.v10i1.34218

Abstract

The growing use of generative artificial intelligence (AI) in higher education raises questions about how students assess and adopt these systems, particularly whether traditional utilitarian models are sufficient to explain their use. This study compares the Technology Acceptance Model (TAM) and the Human-Centered AI Acceptance Model (HCAIAM) in explaining students’ behavioral intention to use ChatGPT, while examining how functional and human-centered factors operate within the same framework. A cross-sectional design was used, involving 100 undergraduate students in Indonesia selected through convenience sampling, and the data were analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM). The results show that TAM provides stronger explanatory power and better model fit (R² = 0.765; SRMR = 0.073) than HCAIAM (R² = 0.709; SRMR = 0.136). Perceived usefulness and perceived ease of use emerge as the main drivers of intention, indicating that students tend to use ChatGPT primarily as a tool to support academic tasks. In contrast, human-centered factors such as transparency and ethical alignment influence intention indirectly through trust and attitude. The autonomy construct shows weak reliability and overlaps with other variables, suggesting limitations in its measurement. These findings indicate that utilitarian factors remain central in this context, while human-centered aspects play a more conditional role, and point to a layered pattern of AI acceptance in which different types of factors operate at different levels.
Evaluation of PCC Load Balancing for Dual ISP Networks: Enhancing Throughput and Traffic Stability Bustomi, Bustomi; Tahir, Muhlis
Jurnal Pendidikan Informatika (EDUMATIC) Vol 10 No 1 (2026): Edumatic: Jurnal Pendidikan Informatika
Publisher : Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29408/edumatic.v10i1.34243

Abstract

Multi-ISP network management often experiences imbalanced traffic distribution and decreased connection stability despite having adequate bandwidth capacity. Previous studies indicate that load balancing methods such as PCC are effective in traffic distribution; however, they remain limited to implementation aspects, with constraints in analyzing network processing efficiency and inconsistencies in results across various testing conditions. This study aims to empirically evaluate the effectiveness of PCC integrated with failover in improving dual ISP network performance. It employs a controlled experimental design with a comparative approach before and after implementation in a real network environment. The measured parameters include throughput, traffic distribution, connection stability, and packet rate, which are analyzed using a quantitative measurement-based comparative approach. The results show an increase in download throughput from 15–18 Mbps to 36–41 Mbps (±130–150%) and upload throughput from 14–17 Mbps to 36–40 Mbps (±120–140%), more balanced traffic distribution, and a significant reduction in packet rate, indicating improved network processing efficiency. The integration of failover also ensures service continuity without significant disruption. This study provides empirical evidence that a connection-based load balancing approach not only improves traffic distribution but also enhances network processing efficiency, extends previous research, and is relevant for multi-ISP networks with dynamic traffic.
Algorithm-Sensitive Feature Weighting using Mutual Information and ReliefF for Heart Disease Classification Prihantono, Dwi; Faqih, Umar; Indra, Indra
Jurnal Pendidikan Informatika (EDUMATIC) Vol 10 No 1 (2026): Edumatic: Jurnal Pendidikan Informatika
Publisher : Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29408/edumatic.v10i1.34262

Abstract

Heart disease remains a critical global health issue requiring reliable early prediction for clinical decision-making. This study evaluates the effect of feature selection and feature weighting on the performance of machine learning models with different learning mechanisms, namely K-Nearest Neighbors (KNN), Naïve Bayes (NB), and Logistic Regression (LR), for heart disease prediction. An algorithm-sensitive comparative framework was applied using global feature relevance estimation (Mutual Information), local feature relevance estimation (ReliefF), feature selection, and feature weighting, with raw features as baseline. Experiments were conducted on the Cleveland Heart Disease dataset using stratified 5-fold cross-validation. The results show that ReliefF-based feature weighting achieves the best performance for Naïve Bayes (accuracy = 0.8085; F1-score = 0.7774), while Logistic Regression attains the highest overall performance under the baseline (accuracy = 0.8547; F1-score = 0.8324). Feature selection improves KNN performance due to reduced sensitivity to irrelevant features. These findings indicate that the effectiveness of feature importance strategies depends on model-specific learning behavior, where feature weighting benefits probabilistic models, while feature selection is more effective for distance-based models. This study contributes an algorithm-sensitive evaluation perspective for aligning feature importance strategies with machine learning model characteristics to improve heart disease prediction performance.
Beyond Traditional Models: Integrating EUCS, SERVQUAL, and UEQ in SeaBank Nabilatulrahmah, Raihana; Lestarini, Dinda; Seprina, Iin; Wedhasmara, Ari; Hardiyanti, Dinna Yunika
Jurnal Pendidikan Informatika (EDUMATIC) Vol 10 No 1 (2026): Edumatic: Jurnal Pendidikan Informatika
Publisher : Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29408/edumatic.v10i1.34297

Abstract

Research on digital banking satisfaction remains conceptually fragmented, as End-User Computing Satisfaction (EUCS), SERVQUAL, and User Experience Questionnaire (UEQ) reflect distinct evaluative paradigms that often produce inconsistent results when applied independently. This study develops and validates an integrated model capturing informational, service, system, and experiential determinants of satisfaction in a branchless digital banking context. Data from 212 active SeaBank users were analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM) with a Two-Stage approach. The model explains 76.5% of the variance in user satisfaction. User experience is the strongest predictor, followed by system quality and information quality, while service quality is not statistically significant. The findings indicate an experience-centric evaluation structure, where affective and system-related factors outweigh traditional service dimensions. This study provides a unified empirical validation of EUCS, SERVQUAL, and UEQ, clarifying their hierarchical relationships and indicating the reduced relevance of service quality in fully digital environments. Practically, the results highlight the importance of UI/UX optimization, system reliability, and experiential design for enhancing user retention. The Gen Z-dominated sample and cross-sectional design limit broader generalization, suggesting the need for longitudinal and cross-context validation.

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