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INTENSIF: Jurnal Ilmiah Penelitian dan Penerapan Teknologi Sistem Informasi
Published by Universitas Nusantara PGRI Kediri
ISSN : 2580409X     EISSN : 25496824     DOI : https://doi.org/10.29407/intensif
Core Subject : Science,
Computer Science & IT Decision Sciences, Operations Research & Management
INTENSIF Journal is a publication container for research in various fields related to information systems. These fields includeInformation System, Software Engineering, Data Mining, Data Warehouse, Computer Networking, Artificial Intelligence, e-Bussiness, e-Government, Big Data, Application Development, Geograpic Information System, Information Retrieval, Information Technology Infrastructure, Knowledge Management System, Enterprise Architecture.Published periodically in February and August.
Arjuna Subject : -
Articles 178 Documents
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Evaluation of Mobile Application Service on User Loyalty Using Expectation Confirmation Model Muhammad Qomarul Huda; Muhammad Shidqa Irahman; Nur Aeni Hidayah; Nida’ul Hasanati; Yuni Sugiarti
INTENSIF: Jurnal Ilmiah Penelitian dan Penerapan Teknologi Sistem Informasi Vol 10 No 1 (2026)
Publisher : Universitas Nusantara PGRI Kediri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29407/intensif.v10i1.25253

Abstract

Background: Mobile-based Academic Information Systems (AIS) have become essential for improving accessibility and efficiency in higher education. UIN Jakarta’s AIS Mobile aims to support academic activities; however, user loyalty remains low, as many students prefer accessing services via the web platform. Objective: This study evaluates AIS Mobile services and identifies key factors influencing user loyalty using an extended Expectation Confirmation Model (ECM). Methods: A quantitative approach was employed, involving 334 respondents selected through purposive sampling. Data were collected via an online questionnaire and analysed using Partial Least Squares Structural Equation Modelling (PLS-SEM) with SmartPLS 4.0.9.3. The proposed model integrates ECM constructs—confirmation, perceived usefulness, satisfaction, and continuance intention—with additional variables: system quality, information quality, trust, habit, and loyalty. Results: Findings indicate that eight hypotheses were supported, confirming significant relationships among confirmation, perceived usefulness, trust, habit, and continuance intention in shaping loyalty. Satisfaction, however, showed no significant effect on continuance intention. The model demonstrates strong explanatory power, with R² values of 0.737 for continuance intention and 0.726 for satisfaction. Habit exhibited the largest effect size, emphasizing its role in sustaining usage. Implications: To enhance user loyalty, developers should prioritize improving system reliability, security, and usability while fostering habitual engagement through intuitive design and personalized features. These insights provide actionable strategies for strengthening AIS Mobile adoption in Islamic higher education contexts.
Security Assessment Based on OWASP Top 10 Using SonarQube and ZAP on Export and Import Applications in the LNSW Muhammad Wisnu; Benfano Soewito
INTENSIF: Jurnal Ilmiah Penelitian dan Penerapan Teknologi Sistem Informasi Vol 10 No 1 (2026)
Publisher : Universitas Nusantara PGRI Kediri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29407/intensif.v10i1.25294

Abstract

Background: The advancement of information and electronic systems has significantly transformed export and import processes. In Indonesia, the Lembaga National Single Window (LNSW) plays a pivotal role in facilitating international trade by integrating procedures and information related to exports, imports, and document flows. Objective: This study aims to assess the security of LNSW’s export and import application by identifying vulnerabilities based on the Open Web Application Security Project (OWASP) Top 10 framework. It also compares the effectiveness of Static Application Security Testing (SAST) using SonarQube and Dynamic Application Security Testing (DAST) using ZAP (Zed Attack Proxy) in detecting various types of vulnerabilities. Methods: The analysis involved the use of SonarQube for source code scanning and ZAP for runtime testing. Each detected vulnerability was evaluated using the Common Vulnerability Scoring System (CVSS) to determine its severity level. Recommended mitigation strategies were provided accordingly. Results: A total of eight vulnerabilities were identified, comprising two High-severity and six Medium-severity issues. SonarQube proved more effective in detecting Identification and Authentication Failures (three instances), while ZAP excelled in identifying Vulnerable and Outdated Components (two instances). Notably, each tool uncovered four unique types of vulnerabilities that the other did not detect. Conclusion: These findings highlight the practical benefits of combining SAST and DAST techniques. By integrating both approaches, organizations can achieve a more comprehensive and reliable security assessment, ultimately leading to more resilient software systems. 
Word Stemming of Lampung Dialect Nyo using N-Gram Stemming Parjito Parjito; Zaenal Abidin; Akmal Junaidi; Wamiliana Wamiliana; Favorisen R. Lumbanraja; Farida Ariyani
INTENSIF: Jurnal Ilmiah Penelitian dan Penerapan Teknologi Sistem Informasi Vol 10 No 1 (2026)
Publisher : Universitas Nusantara PGRI Kediri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29407/intensif.v10i1.25364

Abstract

Background: Previous translation systems for the Lampung dialect of nyo to Indonesian achieved bilingual evaluation understudy (BLEU) scores below 40%, primarily due to challenges in processing affixed words. Objective: This research aims to perform stemming on affixed words in the Lampung dialect of nyo to enhance the performance of the translation system. Methods: We developed an n-gram stemming approach that reduces affixed words to their base forms by measuring similarity between n-grams using the Dice coefficient method. When similarity exceeds a specified threshold, the system identifies the corresponding base word. Results: Using a dataset of 700 words from the Lampung dialect of nyo, we constructed a comprehensive stemmer covering all affix variations. The optimal threshold was determined to be 0.5, achieving bigram accuracy of 93.86% and trigram accuracy of 89.14%. These accuracy levels demonstrate the method's effectiveness in identifying base word forms, which directly impacts translation quality improvement. Conclusion: N-gram stemming with a 0.5 threshold effectively processes the Lampung dialect of nyo morphology and shows potential for enhancing translation accuracy. This work represents the first comprehensive stemming system specifically designed for the Lampung dialect of nyo, contributing to the development of natural language processing tools for underrepresented regional languages in Indonesia. 
Enhancing Tourist Experiences in North Toraja through K-Means Clustering-Based Recommendation System Srivan Palelleng; Eko Suripto Pasinggi; Juprianus Rusman
INTENSIF: Jurnal Ilmiah Penelitian dan Penerapan Teknologi Sistem Informasi Vol 10 No 1 (2026)
Publisher : Universitas Nusantara PGRI Kediri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29407/intensif.v10i1.25597

Abstract

Background: North Toraja in South Sulawesi, Indonesia, is a culturally rich region with high tourism potential due to its unique traditions. The government has invested in infrastructure to boost tourism and regional income (PAD), but has insufficiently used information systems for promotion. An innovative system that can assist tourists in navigating the diverse attractions in North Toraja based on their interests needs to be developed. Objective: This research aims to develop a recommendation system for tourist attractions in North Toraja using K-means Clustering and the Similar Characteristics Method. Methods: We used Orange Data Mining to perform K-means clustering, and then used similarity-based methods to determine the closeness of characteristics among attractions. The system analyzes based on the fields of cultural, geographical, facility, and landscape features, resulting in four distinct clusters. The clusters were defined as three tourist attractions in cluster C1, eleven in C2, four in C3, and fourteen in C4. We also developed a system interface that allows travelers to input preferences, view personalized recommendations, and access detailed information. The system's novelty lies in its specific application of K-Means Clustering to leverage these local attributes for granular categorization for effective promotion of North Toraja's diversity. Conclusion: Our approach effectively groups attractions with similar characteristics, enhancing exploration based on user interests. The high altitude and similar geographical features of North Toraja result in attractions that share natural characteristics, making this system an advancement in technology-driven tourism solutions. 
An Ontology-Driven Adaptive User Interface Framework for Indonesian Student Wellbeing Bhanu Sri Nugraha; Muhammad Suyanto; Kusrini Kusrini; Ema Utami
INTENSIF: Jurnal Ilmiah Penelitian dan Penerapan Teknologi Sistem Informasi Vol 10 No 1 (2026)
Publisher : Universitas Nusantara PGRI Kediri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29407/intensif.v10i1.26404

Abstract

Background: The personalization of digital learning environments to support student wellbeing presents a significant challenge due to the need for integrating multi-dimensional contextual factors. Existing adaptive user interface (AUI) approaches often rely on ad-hoc rule-based systems or simpler adaptive mechanisms, lacking the formal semantic grounding required to handle the intricate interdependencies between diverse wellbeing dimensions and corresponding UI adaptations. Objective: This research aimed to design, develop, and formally validate a novel semantic framework for a context-aware AUI specifically tailored to provide a formal foundation for supporting multidimensional student wellbeing factors. Methods: The methodology involved creating a detailed "Context Mapping" table to establish relational scenarios between student contexts, wellbeing factors, and UI adaptations. Subsequently, a Semantic Taxonomy was engineered and implemented as a Web Ontology Language (OWL) model in Protégé. Its relational data retrieval capabilities were demonstrated via the SPARQL Protocol. The principal outcome of this investigation is the formal validation of the ontology using the HermiT reasoner. This study utilized a comprehensive literature review to formulate its context mapping, followed by a formal modeling and validation methodology. Results: Using the HermiT reasoner conclusively determined that the model is both coherent and consistent. The research successfully translated qualitative Indonesian student wellbeing requirements into a formal, computationally tractable semantic framework. Conclusion: The developed semantic framework provides a validated foundation for the deployment of intelligent, context-aware applications designed to enhance Indonesian student wellness in higher education. This research successfully multi-dimensional requirements for a context-aware student wellbeing application into a robust, and scalable framework. 
System-Level Performance Evaluation of Dilithium2, Falcon-512, and SPHINCS+ for Post-Quantum Secure E-Government Document Signing Rudolf Sinaga; Samsinar Samsinar; Mohd Shahizan Othman
INTENSIF: Jurnal Ilmiah Penelitian dan Penerapan Teknologi Sistem Informasi Vol 10 No 1 (2026)
Publisher : Universitas Nusantara PGRI Kediri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29407/intensif.v10i1.26424

Abstract

Background: The rapid advancement of quantum computing threatens the cryptographic foundations of e-Government infrastructure, particularly classical public-key algorithms susceptible to Shor's algorithm. Post-Quantum Cryptography (PQC) offers a viable pathway for securing digital signature systems against emerging quantum adversaries. Objective: This study conducts a system-level comparative evaluation of three NIST-standardized PQC digital signature schemes CRYSTALS-Dilithium2, Falcon-512, and SPHINCS+-128s to assess their suitability for secure e-Government document signing workflows. Methods: A simulation-based system-level evaluation is employed, wherein timing values are estimated from official NIST PQC parameter specifications and open-source benchmarks (PQClean, OQS), rather than measured from native cryptographic library executions. Experiments were conducted over 100 iterations, reporting mean ± standard deviation for key generation, signing, and verification times, alongside signature sizes and a RESTful API prototype demonstration. Results: Falcon-512 demonstrates the lowest estimated signing latency approximately five to six times faster than Dilithium2 and over fifty times faster than SPHINCS+-128s with the smallest signature size (666 bytes versus 2,420 and 7,856 bytes respectively). Dilithium2 provides a balanced trade-off between computational efficiency and signature robustness, while SPHINCS+-128s, despite its computational overhead, offers the strongest long-term security guarantees through its stateless hash-based construction. The RESTful API prototype confirms successful multi-scheme integration feasibility. Conclusion: This study recommends Falcon-512 for real-time mobile services, Dilithium2 for centralized server-side authentication, and SPHINCS+-128s for long-term archival security, providing evidence-based guidance for PQC adoption in national e-Government systems aligned with SPBE frameworks and NIST standards.
A Mixed Reality Simulator Framework for 3D Object Optimization and Depth-of-Field Analysis Mohamad Jamil; IIs Hamsir Ayub Wahab; Kiswanto Kiswanto; Seh Turuy
INTENSIF: Jurnal Ilmiah Penelitian dan Penerapan Teknologi Sistem Informasi Vol 10 No 1 (2026)
Publisher : Universitas Nusantara PGRI Kediri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29407/intensif.v10i1.28116

Abstract

Background: Mixed Reality (MR) technology enables real-time interaction between physical and digital environments and has become increasingly important in immersive simulation and visualization applications. However, MR implementation still faces challenges related to system performance limitations and the complexity of 3D object rendering, which may reduce immersion quality and interaction realism. Therefore, optimization of 3D assets and visual effects is urgently needed to improve MR efficiency and user experience. Objective: This study aims to propose a design and evaluation framework for Mixed Reality systems by focusing on 3D object optimization and Depth-of-Field (DoF) enhancement in Mixed Reality Simulator (MRSi) development. Methods: The proposed framework integrates vertex decimation-based 3D object optimization and DoF analysis using Circle of Confusion (CoC) calculations. Low-poly 3D assets were optimized through vertex and triangle reduction, while DoF parameters were adjusted based on focal length, aperture, and object distance. Results: The results showed that the proposed approach successfully reduced 3D model complexity by 16.280%–90.950% while maintaining visual quality, with CoC values ranging from 0.0066 to 0.2414, indicating improved depth perception and more realistic visual focus effects in MR environments. The optimization process improved rendering efficiency and enhanced visual realism in Mixed Reality environments. Conclusion: The proposed framework effectively improves MR system performance and immersion quality, providing practical guidance for the development of efficient and visually realistic Mixed Reality applications.
Digital Readiness Assessment in Islamic Higher Education Institutions with Operationalized BIMAS Framework Agus Pamuji; Aries Susanty; Budi Warsito; Tonni Agustiono Kurniawan
INTENSIF: Jurnal Ilmiah Penelitian dan Penerapan Teknologi Sistem Informasi Vol 10 No 1 (2026)
Publisher : Universitas Nusantara PGRI Kediri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29407/intensif.v10i1.28120

Abstract

Background: Digital readiness (DR) has become a critical prerequisite for effective digital transformation (DT), particularly as institutions face increasing demands for digital governance, quality assurance, and institutional resilience. These challenges are especially evident in Islamic Higher Education Institutions (IHEIs), where digital transformation must align with regulatory and value-based frameworks. Objective: The purpose of this research is to construct and operationalize the BIMAS framework, comprising Business Model, Infrastructure and Technology, Management and Organization, Audit and Quality Control, and Sustainability and Environment, as an integrated reference for assessing institutional digital readiness. Methods: A Digital Readiness Index (DRI) is developed using a seven-level continuum to classify readiness across BIMAS dimensions and institutional levels. Structural Equation Modeling (SEM) is employed to analyze the causal relationships among the dimensions, complemented by Importance–Performance Map Analysis (IPMA) to identify priority areas for strategic improvement. Results: The findings indicate that Management and Organization (β = 0.378, p < 0.05) and Sustainability and Environment (β = 0,352, p < 0.05) have positive and statistically significant effects on digital readiness, confirming the validity of the BIMAS framework and the proposed DRI. Conclusion: The findings reveal that Management and Organization and Sustainability and Environment exert positive and statistically significant effects on DR; moreover, confirming the validity of the BIMAS framework and the proposed DRI, offering a reliable foundation for guiding DT in IHEIs.

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