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Technologia Journal
Published by PT Anagata Sembagi Education
ISSN : -     EISSN : 30469163     DOI : https://doi.org/10.62872/ezf7zc71
Core Subject : Science,
Computer Science & IT
This journal publishes original articles on current issues and international trends in the field of information engineering and information systems.
Arjuna Subject : Ilmu Komputer (semua kategori) - Sistem Informasi
Articles 7 Documents
 1 
Search results for , issue "Vol. 2 No. 4 (2025): Technologia Journal-November" : 7 Documents clear
Implementation of Software Defined Networking (SDN) Technology in the Campus Network of Ichsan Sidenreng Rappang University Baharuddin Baharuddin
Technologia Journal Vol. 2 No. 4 (2025): Technologia Journal-November
Publisher : Pt. Anagata Sembagi Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62872/hb72d069

Abstract

The development of information technology and the digitalization of higher education demand a more efficient, flexible, and secure network infrastructure. Software Defined Networking (SDN) offers a new paradigm in network management by separating the control plane and data plane, enabling more centralized and adaptive network management. This study aims to analyze the implementation of SDN in campus networks, specifically at Ichsan Sidenreng Rappang University, and identify its benefits, challenges, and implementation strategies. The method used is a systematic literature review of 15 scientific publications from 2020-2025 that discuss the implementation of SDN in the context of campus networks. The results show that SDN provides significant network performance improvements, with a decrease in latency from 37.7 ms to 18 ms, jitter from 40.3 ms to 2.7 ms, and an increase in throughput from 95 Mbps to 98.2 Mbps compared to conventional networks. SDN also increases flexibility through centralized management and automation, strengthens security with adaptive firewall integration, and improves service redundancy and availability. Key implementation challenges include the need for human resource training, the development of comprehensive security policies, and testing on more complex topologies. This study concludes that implementing SDN on campus networks is strategic for supporting the digitalization of higher education, with recommendations for thorough planning, ongoing human resource training, and the development of policies that holistically integrate technical and security aspects.
Design and Construction of a Web-Based Employee Salary Calculation System for the Manokwari Regency Cryptography, Communication and Informatics Service Yopi Giban; Sofyan Sofyan; Joice Pangulimang; Yuliana Sangka
Technologia Journal Vol. 2 No. 4 (2025): Technologia Journal-November
Publisher : Pt. Anagata Sembagi Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62872/jycync95

Abstract

The development of information technology provides a significant opportunity for government agencies to improve the efficiency and effectiveness of administrative services, including in the management of employee salaries. The Manokwari Regency Code, Communication and Informatics Office still uses a manual system in the process of calculating and recording employee salaries, which is prone to errors, delays, and a lack of transparency. Therefore, this study aims to design and build a web-based employee salary calculation system that can help the salary data processing process to be more accurate, fast, and easily accessible. The method used in designing this system is the waterfall software development method, which includes the stages of needs analysis, system design, implementation, testing, and maintenance. This system is designed using a web-based programming language with an integrated database to store employee data, salary components, and deductions such as bank credit, social gatherings, and other contributions. The result of this study is a salary calculation information system application that can be accessed via a local network or the internet, with automatic calculation features, payslip printing, and employee salary history.
Cloud Computing Integration in the Digital Transformation of MSMEs: A Case Study on the Retail Sector Nila Natalia; Errysa Subekthi; Febri Dolis Herdiani; Foezi Arisandi SJ
Technologia Journal Vol. 2 No. 4 (2025): Technologia Journal-November
Publisher : Pt. Anagata Sembagi Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62872/jkbsjt34

Abstract

This study aims to analyze the role of cloud computing integration in supporting the digital transformation process of Micro, Small, and Medium Enterprises (MSMEs) in the retail sector in Indonesia. Digital transformation has become a strategic necessity in facing the dynamics of global competition and changes in technology-based consumer behavior. This study uses a qualitative method with a case study approach on several retail MSMEs that have adopted cloud computing services. Data were obtained through in-depth interviews, field observations, and documentation, then analyzed descriptively through the stages of data reduction, data presentation, and conclusion drawing. The results show that the implementation of cloud computing can improve operational efficiency, strengthen data management, and accelerate the decision-making process based on real-time information. MSMEs that adopt this technology experience a reduction in IT infrastructure costs of up to 40% and an increase in employee productivity of up to 30%. However, challenges remain such as limited digital literacy, uneven internet infrastructure, and concerns about data security. This study confirms that cloud computing functions not only as a technological solution, but also as a catalyst for changing work culture and business management systems towards sustainable digitalization.
Analysis of Order Data Customer Segmentation in Logistics Companies Using K-Medoids and DBSCAN Algorithms Mujiono Sadikin; Nanda Azvita
Technologia Journal Vol. 2 No. 4 (2025): Technologia Journal-November
Publisher : Pt. Anagata Sembagi Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62872/d6hbsb69

Abstract

The development of the logistics industry makes the use of customer data to understand market behavior and needs increasingly important. This study aims to segment customers based on logistics company order data using the K-Medoids algorithm and Density-Based Spatial Clustering of Applications with Noise (DBSCAN). This approach is used to identify customer groups with similar characteristics to support more effective marketing and service strategies. This study uses 12,000 customer order data entries from the past year, with variables including order, cost, and receiving location. The data is processed through preprocessing stages (cleaning, transformation, and normalization) before being applied to two clustering models. The analysis results show that the K-Medoids algorithm produces a Silhouette Score of 0.3559, while DBSCAN obtained a score of 0.3233. These values ​​indicate that K-Medoids has more compact and well-separated clusters than DBSCAN. Thus, the K-Medoids method is more effective in segmenting customers to support strategic decisions of logistics companies.
Preliminary Analysis of e-Government Implementation and Readiness in Sikka Regency: A Foundational Study for the AVELINE Evaluation Model Agustinus Lambertus Suban
Technologia Journal Vol. 2 No. 4 (2025): Technologia Journal-November
Publisher : Pt. Anagata Sembagi Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62872/j412jw89

Abstract

This study presents a preliminary analysis of e-government implementation and readiness in Sikka Regency, East Nusa Tenggara, as the empirical foundation for developing the AVELINE Evaluation Model a context-sensitive framework designed to assess e-government maturity in developing local governments. Using a mixed-methods approach, the research integrates quantitative survey data from 120 respondents across 15 government agencies with qualitative insights from in-depth interviews and document analysis. The findings indicate a moderate overall readiness index (3.04 out of 5), reflecting partial progress in digital transformation. Among the five assessed dimensions, policy and governance readiness scored highest (3.47), while citizen engagement and human resource readiness remained lowest (2.76 and 2.85, respectively). The study identifies key inhibitors such as limited ICT infrastructure, insufficient digital literacy, and fragmented inter-agency coordination, which hinder effective SPBE (Electronic-Based Government System) implementation. Conversely, strong policy commitment and emerging leadership support provide a foundation for improvement. Empirical results confirm significant correlations between infrastructure, human resources, and organizational readiness, emphasizing that technological success depends on institutional and socio-environmental factors. Theoretically, this research contributes to the development of the AVELINE Evaluation Model, integrating six dimensions Administrative, Viability, Environmental, Legal, Information, and Network readiness into a holistic tool for assessing e-government maturity. Practically, recommendations for infrastructure enhancement, human resource capacity building, and participatory governance. Overall, the findings highlight that digital transformation in Sikka Regency remains in a transitional phase technologically functional but organizationally fragile underscoring the need for a tailored, context-aware evaluation framework to guide sustainable e-government development in underdeveloped regions
Information Security in The Cloud Era: Strategies and Implementation Nyoman Gunantara
Technologia Journal Vol. 2 No. 4 (2025): Technologia Journal-November
Publisher : Pt. Anagata Sembagi Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62872/40mq7e60

Abstract

Cloud computing has become a fundamental driver of global digital transformation, providing organizations with scalability, operational efficiency, and flexibility. However, the migration to cloud environments has also intensified cybersecurity challenges, including data breaches, misconfigurations, identity compromise, and evolving cyber-threats. This systematic literature review analyzes strategic and implementation approaches to cloud information security across multiple sectors. The study applies a structured methodology aligned with academic SLR standards to identify key security practices, technological controls, and governance frameworks. Findings reveal that effective cloud security requires a holistic model integrating Zero Trust Architecture, encryption, identity and access management, artificial intelligence-driven threat monitoring, and compliance with regulatory frameworks. Organizational readiness, human capability, and governance maturity significantly influence implementation outcomes. The study concludes that adaptive, multi-layer security models combined with continuous workforce development and regulatory harmonization are critical for building sustainable cloud resilience
Application of Large Language Models (LLMs) for Optimising Indonesian Language-Based Public Service Chatbots Ali Ibrahim; Sitti Rachmaeati Yahya; Iwan Adhicandra
Technologia Journal Vol. 2 No. 4 (2025): Technologia Journal-November
Publisher : Pt. Anagata Sembagi Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62872/74q5b220

Abstract

This study examines the potential of Large Language Models to optimise Indonesian language-based public service chatbots by integrating linguistic, technological, and administrative perspectives. Using a mixed-method approach that combines a systematic literature review with secondary benchmarking of state-of-the-art LLMs, the research evaluates model performance in Indonesian semantic comprehension, contextual reasoning, and domain adaptability. The findings show that LLMs can significantly improve chatbot accuracy, inclusivity, and responsiveness, outperforming rule-based systems that struggle with informal expressions, multi-intent queries, and policy-specific terminology. Benchmarking highlights that GPT-4 and PaLM-2 achieve high contextual coherence and low hallucination rates, while Indonesian-centric models such as IndoGPT demonstrate strong local language adaptability. However, risks related to data privacy, bias, hallucination, and governance limitations present substantial challenges for implementation. The study proposes a strategic framework that emphasizes AI governance, interoperable data infrastructure, institutional capacity building, hybrid retrieval–generation design, and citizen engagement to ensure responsible adoption. Overall, the integration of LLM-powered chatbots has the potential to transform Indonesia’s digital public service landscape, provided that deployment is accompanied by robust oversight, ethical safeguards, and sustainable technological planning

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