cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
Agussalim
Contact Email
agoesalim@gmail.com
Phone
+6281355150658
Journal Mail Official
info@itijournal.org
Editorial Address
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
Location
Kota surabaya,
Jawa timur
INDONESIA
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 26 Documents
 1   2   3 
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.

Page 3 of 3 | Total Record : 26

 1   2   3 

Filter by Year

2023 2025


Reset
Filter By Issues
All Issue Vol. 3 No. 1 (2025): Information Technology International Journal Vol. 2 No. 2 (2024): Information Technology International Journal Vol. 2 No. 1 (2024): Information Technology International Journal Vol. 1 No. 2 (2023): Information Technology International Journal Vol. 1 No. 1 (2023): Information Technology International Journal