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Gedung Fakultas Ilmu Komputer 2, 2nd Fl. Faculty of Computer Science, UPN "Veteran" Jawa Timur Jl. Rungkut Madya No.1, Gn. Anyar, Kec. Gn. Anyar, Surabaya, Jawa Timur 60294, Indonesia
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ITIJ
Published by Universitas Pembangunan Nasional Veteran Jawa Timur
ISSN : -     EISSN : 30253152     DOI : -
Core Subject : Science, Engineering,
Computer Science & IT Electrical & Electronics Engineering
Information Technology International Journal (ITIJ) is international referred journal with the objectives to explore, develop, and elucidate the knowledge of Information Technology, to keep practitioners and researchers informed on current issues and best practices, as well as serving as a platform for the exchange of ideas, knowledge, and expertise among technology researchers and practitioners.
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 31 Documents
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The Evaluation of User Interface and User Experience in the New Student Admission System : Case Study: New Student Admission System at UPN Veteran Jawa Timur Alam, Fajar Indra Nur; Harya, Gyska Indah
Information Technology International Journal Vol. 3 No. 1 (2025): Information Technology International Journal
Publisher : Magister Teknologi Informasi UPN "Veteran" Jawa Timur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33005/itij.v3i1.41

Abstract

In the current digital era, information technology plays a crucial role in various aspects of life, including education. One notable application is the digital-based new student registration system, designed to replace manual methods that are time-consuming, error-prone, and inefficient. While digital systems aim to streamline the registration process, their success is heavily reliant on the quality of their User Interface (UI) and User Experience (UX). Poor UI/UX design can lead to user confusion, frustration, and registration failure. This study evaluates the UI and UX of the new student registration system implemented by UPN Veteran Jawa Timur. Using usability testing and heuristic evaluation, the research identifies challenges in navigation and interface design that hinder user satisfaction. The findings offer actionable recommendations to improve system efficiency and user-friendliness. This study not only contributes to enhancing the registration process for UPN Veteran Jawa Timur but also serves as a reference for similar systems aiming to optimize their UI/UX design.
Implementation Of Hybrid EfficientNet V2 And Vision Transformer for Apple Leaf Diseases Classification Santoso, Sri Fuji; Hadi, Surjo; Nugroho, Budi; Mas Diyasa, I Gede Susrama
Information Technology International Journal Vol. 3 No. 1 (2025): Information Technology International Journal
Publisher : Magister Teknologi Informasi UPN "Veteran" Jawa Timur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33005/itij.v3i1.42

Abstract

The apple farming industry faces challenges in managing apple leaf diseases. Current manual detection methods have limitations in expertise variability, time required, potential delays in identification leading to disease spread, and difficulty distinguishing diseases with similar visual symptoms. This research aims to develop an accurate, efficient, and automated apple leaf disease classification system using a hybrid approach that combines EfficientNet V2 architecture and Vision Transformer. The main objectives are to improve disease detection accuracy, reduce computational requirements, facilitate more effective plant management, and support modern agricultural practices in the apple industry. This research uses a hybrid deep learning model that integrates EfficientNet V2 and Vision Transformer components. Experiments were conducted on an apple leaf disease dataset to evaluate model performance. Results show the effectiveness of this method in classifying apple leaf diseases, achieving 98.56% accuracy and an F1 score of 0.9856 on test data. The proposed model has 15.6 million parameters, lighter than the original EfficientNetV2S model with 20 million parameters. Training time was reduced to 6 minutes 32 seconds compared to the original EfficientNetV2S model that required 8 minutes 41 seconds for 5 epochs on the same dataset.
Architecting the e-RES (Electric Bike Rescuer) Application Based on Microservices Architecture Ismail, Jefri Abdurrozak
Information Technology International Journal Vol. 3 No. 1 (2025): Information Technology International Journal
Publisher : Magister Teknologi Informasi UPN "Veteran" Jawa Timur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33005/itij.v3i1.37

Abstract

The e-RES application is a solution designed to assist electric bike riders facing technical issues on the road. Utilizing mobile technology and a microservices-based architecture, this app enables riders to connect instantly with nearby technicians in real-time. This journal discusses the architecting process of e-RES, including system architecture design and preparation of essential diagrams such as a Use Case Diagram, Class Diagram, Sequence Diagram, Activity Diagram, and Entity Relationship Diagram.
Optimization of the SRIKANDI E-Government System Using XGBoost-Based Classification and One-Class SVM Anomaly DetectionType Damaryanti, Fitri; Aji Supriyanto
Information Technology International Journal Vol. 3 No. 1 (2025): Information Technology International Journal
Publisher : Magister Teknologi Informasi UPN "Veteran" Jawa Timur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33005/itij.v3i1.50

Abstract

Accurate and efficient digital archive management is a crucial component of Electronic-Based Government Systems (SPBE) in Indonesia. The Integrated Dynamic Archival Information System (SRIKANDI), widely used by government agencies, continues to face various challenges such as incomplete metadata, inconsistent classification, and difficulties in archive retrieval and retention scheduling. This study aims to optimize the SRIKANDI system by implementing machine learning algorithms XGBoost for document classification and One-Class SVM (OCSVM) for automatic anomaly detection in metadata. The methodology involves data preprocessing, feature selection, label generation, and the application of classification and anomaly detection models on archival data from the Meteorological, Climatological, and Geophysical Agency (BMKG), Central Java. The XGBoost model achieved a classification accuracy of 77%, showing strong performance in identifying "Destructible" archives but limited ability in detecting the "Permanent" category due to data imbalance. Meanwhile, the OCSVM model successfully identified 16 anomalous entries (9.14%) out of 175 archives, with key indicators including extreme item counts and illogical retention periods. The results demonstrate that integrating machine learning into digital archival systems significantly improves classification accuracy, operational efficiency, and metadata integrity. Furthermore, this approach supports proactive auditing and validation of archival metadata. The findings offer valuable insights for developing AI-powered archival classification and anomaly detection systems to enhance accountability, transparency, and data governance in the public sector.
Analysis Of Service Quality And User Acceptance Of BMKG Info Application Using EgovQual Model And Technology Acceptance Model (TAM) In Central Java Adi, Wahyu Prasetya; Supriyanto, Aji
Information Technology International Journal Vol. 3 No. 1 (2025): Information Technology International Journal
Publisher : Magister Teknologi Informasi UPN "Veteran" Jawa Timur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33005/itij.v3i1.51

Abstract

This study analyzes the service quality and user acceptance of the Info BMKG application in Central Java, integrating the e-GovQual model and the Technology Acceptance Model (TAM). Using a quantitative survey of 239 Info BMKG users, data was analyzed with PLS-SEM. Findings show the measurement model is highly reliable and valid. Seven of nine hypothesized relationships were statistically significant and positive. Specifically, Perceived Ease of Use (PEOU) significantly influenced both Behavioral Intention to Use (BIU) and Perceived Usefulness (PU). Perceived Usefulness (PU) also significantly impacted Behavioral Intention to Use (BIU). Behavioral Intention to Use (BIU) significantly affected Actual System Use (ATU). For user satisfaction (SAT), Reliability (REL) and Citizen Support (SUP) had a significant positive influence. Actual System Use (ATU) also significantly influenced Satisfaction (SAT). However, the direct influence of Efficiency (EFF) and Trust (TRU) on Satisfaction (SAT) was not statistically significant. These results support the conceptual model and offer valuable insights for enhancing digital public services.. A similar phenomenon is seen in the impact of Trust (TRU) on Satisfaction (SAT), where the high p-value (0.804) and low t-statistic (0.248) indicate that this relationship is also not statistically significant.
MFEP-Based Evaluation of Public Information Governance with Socio-Technical and Data Lifecycle Perspectives Retnowati, Retnowati; Eko Nur Wahyudi; Purwatiningtyas
Information Technology International Journal Vol. 3 No. 1 (2025): Information Technology International Journal
Publisher : Magister Teknologi Informasi UPN "Veteran" Jawa Timur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33005/itij.v3i1.52

Abstract

In the era of public information disclosure, public information management is essential for transparency, accountability, and citizen participation. This study assesses eight Public Information Management Officers (PPID) in Central Java, Indonesia, utilizing 21 variables measured by a Multi-Factor Evaluation Process (MFEP) based on Data Lifecycle Management (DLM) and Socio-Technical Systems (STS). Data was collected using Likert-scale questionnaires, and performance was assessed using Evaluation Weight Value (EWV) and Total Evaluation Weight (TEW). The results suggest that technology-related indicators outperformed human competency and regulatory compliance. "Use" and "Disposal" were the DLM phases with the worst performance, demonstrating deficiencies in data accountability and infrastructure. In STS, the "People" dimension lagged, emphasizing the need for capacity building. The findings indicate that, while digital infrastructure is robust, governance and human resource development require strengthening. Strategic improvements in underperforming sectors are suggested to strengthen public information governance.
3D S-UNET an Efficient Architecture for 3 Dimensional Segmentation of Brain Tumors on MRI Images Wibowo, M Sadewa Wicaksana; Muhammad Shodiq; Bety Qorry Aina; Angga Lisdiyanto
Information Technology International Journal Vol. 3 No. 2 (2025): Information Technology International Journal
Publisher : Magister Teknologi Informasi UPN "Veteran" Jawa Timur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33005/itij.v3i2.53

Abstract

One of the deadliest diseases worldwide is brain tumors. In identifying brain tumors, experts perform a subjective analysis that requires considerable time. Previous research has developed automatic 3D brain tumor segmentation using Deep Learning (DL) approaches such as 3D UNet and 3D ResNet. However, these approaches demand significant computational resources. In resource-constrained settings, key criteria for determining the best architecture include memory consumption, inference speed, and accuracy. Therefore, this study introduces the development of the 3D S-UNet architecture, constructed by combining 3D ShuffleNet-V2 as an encoder and 3D UNet as a decoder. The integration of these 3D data processors allows the architecture to be more precise in identifying brain tumor locations and capture richer feature values compared to 2D data processing. The researchers compare 3D S-UNet with another Lightweight Deep Learning architecture, 3D Mobile-UNet. The results show that 3D S-UNet has a smaller memory consumption, using 0.56GB for the highest allocated memory and 1.71GB for reserved memory. In terms of inference speed, 3D S-UNet is faster compared to the other three architectures, achieving a speed of 135.881 milliseconds. 3D S-UNet demonstrates favorable results with a Whole Tumor (WT) dice score, sensitivity, and specificity of 83%, 85%, and 88%, respectively.
Provincial Segmentation Based on District Road Stability in Indonesia: K-Means and Hierarchical Clustering Approach Heldiansyah; Novi Shintia; Rustaniah; Hadi Gunawan; Muchtar Salim
Information Technology International Journal Vol. 3 No. 2 (2025): Information Technology International Journal
Publisher : Magister Teknologi Informasi UPN "Veteran" Jawa Timur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33005/itij.v3i2.55

Abstract

This study segments Indonesian provinces based on district road stability characteristics using K-Means and Hierarchical Clustering approaches. We analyzed district road stability data from 34 provinces during 2016-2023, including total road length, stable road conditions, and unstable road conditions. Data preprocessing included cleaning, normalization using min-max scaling, and feature selection. Results showed optimal clustering with k=4, achieving silhouette coefficient of 0.647 for K-Means and 0.623 for Hierarchical Clustering. Four distinct provincial clusters emerged: Optimal Infrastructure Provinces (>80% stability), Developing Infrastructure Provinces (60-80% stability), Infrastructure Challenge Provinces (<60% stability with extensive networks), and Limited Infrastructure Provinces (small networks with variable stability). The Adjusted Rand Index of 0.78 demonstrated high agreement between methods. This segmentation provides evidence-based insights for targeted infrastructure policy formulation in Indonesia.
Usability and User Experience Evaluation on Extracurricular Website (SINEMA) Implementation using SUS and UEQ Methods Wirdayanti; AKBAR, MUHAMMAD; Sabarudin Saputra; Deni Luvi Jayanto; Sri Khaerawati Nur; Nouval Trezandy; Bakri
Information Technology International Journal Vol. 3 No. 2 (2025): Information Technology International Journal
Publisher : Magister Teknologi Informasi UPN "Veteran" Jawa Timur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33005/itij.v3i2.57

Abstract

The rapid integration of web-based platforms in higher education highlights the importance of usability and user experience in supporting students’ extracurricular activities. This study evaluates the usability and user experience of the Student Extracurricular Information System (SINEMA) developed at Tadulako University. A total of 99 respondents participated, selected from a population of 5,581 active users through Slovin’s formula. Two standardized instruments were applied: the System Usability Scale (SUS) to capture global usability perceptions and the User Experience Questionnaire (UEQ) to assess six dimensions of user experience. The SUS results indicate a mean score of 76.06, which falls within Grade B and the “Good” category, exceeding the global benchmark. This suggests that the system is generally usable, although certain respondents reported minor challenges requiring further improvement. The UEQ results show that Perspicuity (1.94), Dependability (1.94), and Stimulation (1.93) achieved the “Excellent” category, reflecting clarity, reliability, and engagement. Meanwhile, Attractiveness (1.65), Efficiency (1.58), and Novelty (1.72) were rated “Good,” highlighting positive perceptions but also opportunities for optimization. Overall, the findings demonstrate that SINEMA effectively supports extracurricular management with satisfactory usability and strong user experience. The study contributes novelty by integrating SUS and UEQ for comprehensive evaluation within a higher education extracurricular context. Recommendations include enhancing efficiency and novelty to elevate user satisfaction and system adoption.
Designing Reborn Mental Health Applications Using Lean UX Methods Rizal Ramdhani, Muhammad; Muhammad Yan Handita
Information Technology International Journal Vol. 3 No. 2 (2025): Information Technology International Journal
Publisher : Magister Teknologi Informasi UPN "Veteran" Jawa Timur

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Faster technology is essential today in terms of providing and presenting information sources. The rise of social media and all its sources and platforms is one of the drivers for this research. Mental health issues further form the background of this research. The Reborn app promotes the use of technology and is designed for people with mental health issues who need quick advice and professional treatment. The Lean UX model is a good method because it helps to achieve success and success faster when designing apps. The results obtained in this research constitute the final prototype and will be verified in terms of criticism and suggestions through a questionnaire as part of the evaluation of the Reborn app. Positive UX and good usability are essential for the further development of the application prototype. the results of the UI usability value are excellent with an SUS score of 82, which is above average and accepted by users

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