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Journix: Journal of Informatics and Computing
Published by Yayasan Ran Edu Center
ISSN : -     EISSN : 30906784     DOI : https://doi.org/10.63866/journix
Core Subject : Science,
Computer Science & IT
Journix: Journal of Informatics and Computing is a peer-reviewed scientific journal published by Ran Edu Center, dedicated to disseminating high-quality research and studies in the fields of informatics and computing. This journal serves as a platform for researchers, practitioners, and academicians to publish innovative and impactful contributions in various domains, including but not limited to: Artificial Intelligence (AI) and its applications, Data processing and analytics for decision-making, Information systems and software engineering, Cybersecurity and risk mitigation strategies, Computer networks and communication technologies, Emerging trends in information technology and computing innovations. JOURNIX aims to advance knowledge and foster discussions on the design, development, and implementation of cutting-edge technologies that drive advancements in computing and informatics. Submissions are expected to offer strong technical contributions while also considering their implications for users, organizations, and industries. Research methodologies may include empirical studies, experimental evaluations, theoretical analyses, and practical implementations.
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 6 Documents
 1 
Search results for , issue "Vol. 1 No. 2 (2025): August" : 6 Documents clear
Real-Time Phishing Detection Using Google Safe Browsing API and Machine Learning Zumhur Alamin; Ritzkal
Journix: Journal of Informatics and Computing Vol. 1 No. 2 (2025): August
Publisher : Ran Edu Center

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63866/journix.v1i2.8

Abstract

Phishing remains one of the fastest-evolving cybersecurity threats, where attackers mimic legitimate websites to obtain sensitive user information. This study presents a real-time evaluation of a phishing detection system integrating the Google Safe Browsing API with ensemble machine learning models. The research aims to enhance detection accuracy and responsiveness against emerging phishing websites by combining real-time threat intelligence with automated URL analysis. The dataset used comprises over 20,000 URLs collected from Google Safe Browsing, PhishTank, and OpenPhish between June and December 2024. Four approaches were evaluated: (1) machine learning models without API, (2) API-only detection, (3) machine learning with API as an additional feature, and (4) machine learning with API as a validator. The best performance was achieved by the API-as-validator model, reaching 98.2% accuracy, reducing false positives to 2.1%, and lowering false negatives to 3.2%, with an average latency of 108 ms. These findings demonstrate that integrating real-time threat feeds significantly enhances adaptability and reliability in phishing detection. Future research will focus on latency optimization and federated learning to enable large-scale collaborative detection systems.
Development of Management Information System Based on MVC Architecture to Improve Business Process Efficiency Miftahul Jannah; Dahlan; Chairul Akbar
Journix: Journal of Informatics and Computing Vol. 1 No. 2 (2025): August
Publisher : Ran Edu Center

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63866/journix.v1i2.11

Abstract

With the increasing need for flexible, scalable, and maintainable information systems, the Model-View-Controller (MVC) architecture has become a popular approach in software development. This research aims to design and implement an MVC-based management information system to improve data management and business process efficiency. The study adopts the Agile software development method with the Scrum framework, enabling iterative progress and rapid adaptation to user needs. The implementation employs the Laravel framework to ensure modular separation between business logic, user interface, and control flow. The evaluation is carried out using black-box testing and performance testing with Apache JMeter. The results show that the MVC-based system reduces processing time by 30% compared to a monolithic system and enhances system scalability and maintainability. This study concludes that MVC architecture provides significant improvements in system efficiency, modularity, and sustainability. Future work may focus on integrating microservices and cloud computing to further enhance scalability and performance.
Implementation of Post-Quantum Cryptography Algorithms for Financial Applications in Indonesia Sutriawan; Enggar Novianto
Journix: Journal of Informatics and Computing Vol. 1 No. 2 (2025): August
Publisher : Ran Edu Center

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63866/journix.v1i2.13

Abstract

The development of quantum computing poses a serious threat to classical cryptographic algorithms that have been used to protect digital data and financial transactions. Algorithms such as RSA and Elliptic Curve Cryptography (ECC) are vulnerable to quantum computer attacks capable of running Shor's algorithm to efficiently solve large number factorization problems. This study aims to explore and analyze the implementation of Post-Quantum Cryptography (PQC) algorithms, specifically Falcon and Dilithium, in the context of digital financial systems in Indonesia. The research approach was conducted through literature studies and case study analysis on the Algorand platform, which has adopted the Falcon algorithm to strengthen digital signature security. The results of the study show that the integration of PQC algorithms can be done without sacrificing system efficiency, while providing a significant increase in security resilience against quantum threats. This research is expected to serve as a reference for financial institutions and national regulators in formulating transition strategies towards a secure digital security infrastructure in the quantum era.
Genetic Algorithm Optimization for Solving the Traveling Salesman Problem in the Indonesian Business Environment Siti Mutmainah; Teguh Ansyor Lorosae; Erin Eka Citra
Journix: Journal of Informatics and Computing Vol. 1 No. 2 (2025): August
Publisher : Ran Edu Center

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63866/journix.v1i2.14

Abstract

The Traveling Salesman Problem (TSP) is one of the combinatorial optimization problems that is highly relevant in distribution and logistics route planning. This study aims to optimize the Genetic Algorithm (GA) for solving TSP in the Indonesian business environment, which has complex geographical characteristics and diverse logistics infrastructure. The proposed approach combines dynamic parameter adaptation and regional clustering to improve convergence efficiency and solution quality. Experiments were conducted on the distribution route data of an Indonesian logistics company with three scenarios: conventional GA, adaptive GA, and clustering-based GA. Performance evaluation was based on total travel distance, computation time, solution stability, and convergence rate. The results show that adaptive AG produces the best performance, with a reduction in total travel distance of up to 20% more efficient, faster convergence time (95 iterations compared to 120 iterations in conventional AG), and solution stability reaching 90.6%. These findings indicate that parameter adaptation in AG can significantly improve the effectiveness of TSP optimization in the Indonesian business context. The contribution of this research not only strengthens the development of adaptive metaheuristic algorithms but also provides practical benefits for the logistics industry in designing more efficient, cost-effective, and sustainable distribution routes.
Implementation of Cloud-Based Information Systems for the Optimization of Higher Education Administration Services Khaeruddin; Mohammad Nur Cholis; Arisandi
Journix: Journal of Informatics and Computing Vol. 1 No. 2 (2025): August
Publisher : Ran Edu Center

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63866/journix.v1i2.16

Abstract

Digital transformation in the higher education sector requires increased efficiency, flexibility, and quality in the delivery of administrative services. Conventional on-premise information systems often face obstacles in terms of scalability, accessibility, and infrastructure maintenance, thereby hampering the effectiveness of academic and financial services. This study aims to design and implement a cloud computing-based information system to optimize higher education administrative services. The research method uses a software engineering-based case study approach with an iterative System Development Life Cycle (SDLC) development model, covering the stages of requirements analysis, system design, implementation, and evaluation. The system was built with a Software as a Service (SaaS) architecture using the Google Cloud platform and tested on two main service units, namely academic and financial. The test results showed an increase in administrative process time efficiency of up to 61.75%, a system uptime rate of 99.8%, and an average user satisfaction rate of 4.51 on a scale of 5. These findings indicate that the application of cloud computing can significantly improve operational efficiency, data security, and user satisfaction, while supporting the digital transformation of higher education institutions towards adaptive, integrated, and sustainable administrative governance.
An IoT-Based Soil Moisture Monitoring Prototype with Automated Notifications for Drought Risk Indication Muhammad Amirul Mu'min; Dahlan
Journix: Journal of Informatics and Computing Vol. 1 No. 2 (2025): August
Publisher : Ran Edu Center

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63866/journix.v1i2.17

Abstract

Soil moisture monitoring is a critical aspect of sustaining crop cultivation, particularly in environments that are vulnerable to climate variability and fluctuations in soil water content. The limitations of manual monitoring methods, which are often inefficient and time-consuming, highlight the need for automated systems capable of delivering timely and accurate information. This study aims to develop and evaluate an IoT based soil moisture monitoring system equipped with automatic notification capabilities for users. The proposed system employs an ESP32 microcontroller as the main processing unit, soil moisture sensors for data acquisition, MQTT as the data communication protocol, and a Telegram Bot as the notification service. The research methodology includes system architecture design, sensor data processing, internet network integration, and the implementation of automated notification services. Experimental testing was conducted to assess the consistency of sensor readings, the reliability of data transmission, and the system’s responsiveness to changes in soil moisture levels. The results demonstrate that the system is able to deliver real-time soil condition information with good stability and to respond to critical decreases in soil moisture through automatic notifications within a relatively short response time. These findings indicate that an IoT-based approach can enhance the efficiency of environmental monitoring and support informed decision-making in crop management. The developed prototype shows potential for application in precision agriculture as well as small- to medium-scale environmental monitoring scenarios.

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