Technologia Journal (TJ) is a peer-reviewed open access international journal established for the dissemination of cutting-edge knowledge in the field of informatic. All submitted manuscripts will be reviewed by the editors and then evaluated by a minimum of two International Reviewers through a double-blind review process. This is to ensure the quality of manuscripts published in the journal. The journal, which has been published since 2024, is published four times each year in February, Mey, August, November Journal title : Technologia Journal Initials : TJ Frequency : 4 (four) times a year (February, Mey, August, November) DOI : 10.62872 ISSN Online : 3046-9163 Editor in Chief : Nurul Fadhilah Managing Editor : Rosmaria Assistant Editor : Rahmat Purnomo Publisher : PT. Anagata Sembagi Education Accreditation : Index Copernicus International
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Application of Large Language Models (LLMs) for Optimising Indonesian Language-Based Public Service Chatbots
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
Copyright (c) 2025 Ali Ibrahim, Sitti Rachmaeati Yahya, Iwan Adhicandra (Author) https://creativecommons.org/licenses/by-sa/4.0
Information Security in The Cloud Era: Strategies and Implementation
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
Copyright (c) 2025 Nyoman Gunantara (Author) https://creativecommons.org/licenses/by-sa/4.0
Preliminary Analysis of e-Government Implementation and Readiness in Sikka Regency: A Foundational Study for the AVELINE Evaluation Model
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
Copyright (c) 2025 Agustinus Lambertus Suban (Author) https://creativecommons.org/licenses/by-sa/4.0
Design and Construction of a Web-Based Employee Salary Calculation System for the Manokwari Regency Cryptography, Communication and Informatics Service
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.
Copyright (c) 2025 Yopi Giban, Sofyan Sofyan, Joice Pangulimang, Yuliana Sangka (Author) https://creativecommons.org/licenses/by-sa/4.0
Analysis of Order Data Customer Segmentation in Logistics Companies Using K-Medoids and DBSCAN Algorithms
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.
Copyright (c) 2025 Mujiono Sadikin, Nanda Azvita (Author) https://creativecommons.org/licenses/by-sa/4.0
Cloud Computing Integration in the Digital Transformation of MSMEs: A Case Study on the Retail Sector
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.
Copyright (c) 2025 Nila Natalia, Errysa Subekthi, Febri Dolis Herdiani, Foezi Arisandi SJ (Author) https://creativecommons.org/licenses/by-sa/4.0
Implementation of Software Defined Networking (SDN) Technology in the Campus Network of Ichsan Sidenreng Rappang University
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.
Copyright (c) 2025 Baharuddin Baharuddin (Author) https://creativecommons.org/licenses/by-sa/4.0
Towards a Sustainable Smart City: The Role of Big Data and Internet of Things (IoT) in Urban Governance
The rapid growth of urban populations demands smarter, more efficient, and sustainable city governance. This study aims to analyze the role of Big Data and the Internet of Things (IoT) in supporting urban governance toward a sustainable smart city, with a focus on their contributions to environmental, economic, and social sustainability. The research employed an exploratory-descriptive qualitative method through in-depth interviews, community surveys, field observations, as well as secondary data analysis from official reports and academic publications. Qualitative data were analyzed using thematic analysis, while quantitative data were processed with descriptive and inferential statistics. The findings reveal that the integration of Big Data and IoT enhances the effectiveness of city government decision-making through real-time data and predictive analytics. The application of these technologies contributes to emission reduction, energy efficiency, transportation optimization, increased citizen participation, and operational cost savings. However, implementation still faces obstacles such as limited network infrastructure, digital literacy gaps, high maintenance costs of devices, as well as data security and privacy issues. This study recommends strengthening regulations, fostering government–private sector collaboration, and implementing public education programs to expand technology adoption. These findings highlight that the success of a sustainable smart city requires synergy between technological innovation, inclusive policies, and active community engagement.
Copyright (c) 2025 Rustiyana Rustiyana (Author) https://creativecommons.org/licenses/by-sa/4.0
Blockchain-Based Digital Transformation in Government Administration System
Digital transformation in government administration systems is key to increasing transparency, efficiency, and accountability in public services. The implementation of blockchain technology offers an innovative solution by providing secure, decentralized, and immutable transaction records. This study aims to analyze the role of blockchain in strengthening government administration processes and evaluate its impact on operational performance and public trust. The research method used is a comprehensive literature review and case analysis of blockchain implementation in several local governments and public institutions. The results show that blockchain integration can reduce bureaucracy, improve data security, and promote transparency, but requires the readiness of digital infrastructure and supporting regulations. These findings provide guidance for policymakers and IT practitioners in developing blockchain-based digital transformation strategies in the public sector.
Analysis of the Utilization of Augmented Reality (AR) Technology in Interactive Science Learning in Schools
This study aims to analyze the use of Augmented Reality (AR) technology to support interactive science learning in schools. The research method used is a qualitative approach with a case study design, involving direct classroom observation, in-depth interviews with teachers and students, and documentation of learning activities. The results show that the use of AR can increase students' interest in learning and understanding of abstract concepts in science. AR also encourages more interactive and participatory learning. The role of teachers shifts to that of facilitators who need to master technological tools and design innovative learning strategies. However, the implementation of AR in schools still faces obstacles such as limited infrastructure and educators' digital competencies. These findings provide important insights into the potential and challenges of AR integration in education, and serve as a basis for policy development and teacher training to encourage digital transformation in science learning.
Utilizing Artificial Intelligence to Optimize Public Services: A Case Study in Regional Government
This study aims to analyze the use of Artificial Intelligence (AI) to optimize public services in local governments, while identifying challenges and opportunities for its implementation. The research method used is a qualitative case study approach, through in-depth interviews, observations, and documentation analysis. The results show that the application of AI through service chatbots, digital queuing systems, and population data analysis can improve bureaucratic efficiency, reduce public waiting times, and increase public satisfaction. However, AI implementation still faces challenges such as limited infrastructure, lack of human resource competency, resistance from some employees, and public doubts about data security. This study confirms that the success of AI adoption in local governments is determined not only by technological readiness, but also by data protection policies, change management, and increasing public digital literacy.
Copyright (c) 2025 Isra Muksin, Mansyur Djamal (Author) https://creativecommons.org/licenses/by-sa/4.0
Design and Implementation of an Internet of Things (IoT)-Based Smart Agriculture System for Soil Moisture Monitoring
Modern agriculture requires the use of technology to increase efficiency and productivity, particularly in water resource management. This study aims to design and implement an Internet of Things (IoT)-based smart farming system capable of monitoring soil moisture in real time to support irrigation efficiency. The method used in this study is a descriptive qualitative approach with a field study, which includes the device design process, system trials on agricultural land, and interviews and observations with users (farmers). The system is built using a soil moisture sensor connected to a microcontroller and sent to a web-based monitoring platform. The results show that the system is able to work effectively by providing real-time data that can be accessed anytime by farmers through digital devices. Farmers reported that it is more assisted in determining the right and efficient watering time, and saves water use by up to 20–30 percent. Furthermore, the simple system interface is considered easy to use even by farmers who are not familiar with technology. However, challenges such as limited internet connection and the need for device protection in the field are still encountered. This research makes a significant contribution to the development of low-cost technology-based farming systems that can be applied in rural areas. Thus, the integration of IoT in agricultural practices can be an innovative solution to support precision agriculture and sustainability.
Copyright (c) 2025 Tata Sumitra (Author) https://creativecommons.org/licenses/by-sa/4.0
Design and Development of a Predictive AI Model for Early Detection of Mental Disorders in Adolescents
Adolescents are a vulnerable age group for mental disorders such as depression, anxiety, and stress. Early detection is crucial to enable timely and appropriate interventions. This study aims to design and develop a predictive artificial intelligence (AI) model capable of identifying potential mental health issues in adolescents. The research applies a quantitative experimental approach, collecting data through the locally validated DASS-21 questionnaire. The data were analyzed using Random Forest, Support Vector Machine, and Multilayer Perceptron algorithms, evaluated by accuracy, precision, recall, and F1-score metrics. The findings indicate that the Random Forest model achieved the highest accuracy at 87.4%. The system was designed with a user-friendly interface that delivers prediction results along with initial intervention recommendations. This study offers a significant contribution to preventive efforts in adolescent mental health through adaptive, accurate, and ethical AI-based technology.
Copyright (c) 2025 Robinson Robinson, Ahmad Ari Gunawan Sepriansyah, Ahmad Zarkasih, Selvia Damayanti (Author) https://creativecommons.org/licenses/by-sa/4.0
Analysis of the Effectiveness of Online Learning Using E-learning Platforms in Indonesian Higher Education Institutions
This study aims to analyze the effectiveness of online learning using E-learning platforms in Indonesian higher education institutions, particularly since the increased adoption of technology due to the COVID-19 pandemic. Online learning has become the primary solution for ensuring the continuity of education; however, its effectiveness remains in question. This research employs a quantitative approach by distributing questionnaires to 200 students from various universities across Indonesia. The findings indicate that E-learning offers flexibility and time efficiency, but still faces challenges such as limited internet access, lack of direct interaction, online learning fatigue, and uneven digital competence among both lecturers and students. Furthermore, the lack of diverse teaching methods and suboptimal infrastructure support also contribute to the low effectiveness of online learning. The study recommends the need to improve the quality of digital content, provide training for educators, and implement a more adaptive hybrid learning system. These findings are expected to serve as a reference for universities and policymakers in designing more effective and inclusive digital learning strategies in the future.
Copyright (c) 2025 David Darwin (Author) https://creativecommons.org/licenses/by-sa/4.0
Utilization of Cloud Computing Technology in Improving Data Efficiency of Startups
The development of digital technology encourages startups to look for efficient solutions in data management. One technology that is widely adopted is cloud computing, as it offers flexibility, cost efficiency, and scalability. However, there are not many studies that specifically examine its impact on data efficiency in startups in Indonesia. This research aims to analyze how the use of cloud computing improves operational efficiency and data management in startups, while identifying challenges and best practices in its implementation. The method used is a qualitative case study approach involving several startups using cloud services in Indonesia as the main informants. The results show that cloud adoption has a positive impact on accelerating data access, improving team collaboration, and IT cost efficiency. Cloud also provides added value in terms of data security and scalability. Nevertheless, obstacles such as limited human resources and dependence on service providers are still the main obstacles. In conclusion, cloud computing is proven to be a strategic solution in improving data efficiency in startups, as long as it is balanced with organizational readiness and the right implementation strategy.
Copyright (c) 2025 Ardi Azhar Nampira, Ahmad Syamsudin (Author) https://creativecommons.org/licenses/by-sa/4.0
Design of a Fire Monitoring System Using Web Fire Google Maps and Telegram
Fire is a type of disaster caused by flames that pose significant threats to human life, infrastructure, vehicles, and the surrounding environment. In Tegal City, there were 40 reported fire incidents in 2017, which drastically increased to 120 incidents in 2018. This alarming rise highlights the urgent need for an effective and responsive fire monitoring system. This research aims to design a real-time fire monitoring system integrated with specifically developed hardware. The methodology involves observation, interviews, and literature studies to ensure the system's relevance and accuracy. The system developed in this study is capable of monitoring multiple registered locations simultaneously through a centralized website. It features real-time data updates, with information being received every second without the need for manual refreshing. Additionally, the system is equipped with a notification and alarm mechanism to provide early warnings when monitored areas are in a state of alert or danger. This innovation is expected to enhance fire disaster preparedness, enable rapid response, and minimize potential damage in vulnerable areas
Copyright (c) 2025 Muhammad Nanda Abriel Lanang Pamungkah, Eko Budihartono, Teguh Junaidi (Author) https://creativecommons.org/licenses/by-sa/4.0
The role of digital technology in building social awareness and collective action among the younger generation
This study aims to analyze the role of digital technology in building social awareness and encouraging collective action among the younger generation. The main focus of the study is to identify how social media and digital platforms shape critical attitudes and empathy, and to explore various forms of social participation mediated by digital technology. The method used is the Systematic Literature Review (SLR), by collecting and analyzing various related literature from relevant journals, books, and articles to obtain a comprehensive picture of the phenomenon. The results of the study show that digital technology plays a significant role as a source of information and an effective mobilization tool, facilitating digital campaigns, online petitions, and fundraising that strengthen social solidarity. However, the study also reveals various challenges such as the spread of disinformation, the effects of algorithms, and the phenomenon of slacktivism that can hinder the effectiveness of technology in social change. An important implication of this study is the need to improve digital literacy and develop inclusive digital platforms as a strategy to empower the younger generation in fighting for social issues responsibly and sustainably
Copyright (c) 2025 Dwi Puspita Anggraeni (Author) https://creativecommons.org/licenses/by-sa/4.0
The Role of Artificial Intelligence in Increasing Efficiency and Productivity in the World of Work
The development of artificial intelligence (AI) has brought significant changes to the world of work, particularly in terms of efficiency and productivity. This study aims to analyze the role of AI in supporting operational efficiency, increasing employee productivity, and identifying challenges and opportunities arising from its implementation. The research method used was qualitative with a descriptive approach, where data was collected through in-depth interviews, observations, and documentation in organizations that have implemented AI. Data analysis was conducted using thematic analysis techniques to identify patterns, themes, and implications of AI use. The results show that AI can improve work efficiency by automating routine tasks, reducing human error, and accelerating the decision-making process. Furthermore, labor productivity increases because workers can focus more on strategic and value-added activities. However, challenges were also identified in the form of workforce resistance due to concerns about job losses and the need to improve digital skills. This study concludes that AI impacts not only technical aspects but also social and managerial dimensions, thus requiring a balanced integration strategy between technology and human resource development.
The Impact of Technology on Education: Transforming Learning in the Digital Age
This study aims to analyze the influence of technology on education and the transformation of learning in the digital era. Rapid technological developments have brought significant changes to learning methods and approaches, enabling the creation of more interactive, flexible, and effective learning experiences. The research method used is the Systematic Literature Review (SLR), which was chosen because it is able to present a comprehensive and structured picture of the results of previous studies. The initial stage of the SLR method is to formulate specific research questions, such as how technology influences learning methods in the digital era, the challenges of implementing technology in education, and strategies for optimizing technology in learning. Furthermore, a literature search was conducted on leading academic databases, such as Google Scholar, Scopus, Web of Science, IEEE Xplore, and ScienceDirect, using keywords such as "technology in education," "digital learning transformation," "the influence of technology on learning," and "e-learning and online learning." The results of the study show that the implementation of technology in education has a positive impact, such as increasing interaction, flexibility, and effectiveness of learning. Technologies such as online learning platforms (LMS), multimedia, artificial intelligence, and digital collaboration tools enable independent learning and better interaction between students and teachers. However, there are challenges in implementing technology, such as the digital access gap, low digital literacy, and the risk of reduced social interaction. To overcome these challenges, it is necessary to improve digital infrastructure, digital competency training, and policies for equal access to technology. Government support and collaboration with the technology industry are essential to maximize the benefits of technology in education.
Copyright (c) 2025 La Jaali, Dwiyanto Dwiyanto, Beki Subaeki (Author) https://creativecommons.org/licenses/by-sa/4.0
Integrating Technology With Human Insight: The Era of Digital Collaboration
This study aims to identify an integrative approach between technology and human insight in digital collaboration. The method used is the Systematic Literature Review (SLR), which allows a systematic review of related literature to understand the concepts, models, benefits, and challenges in this integration. This study focuses on three main questions: (1) how technology and human insight are combined in digital collaboration practices, (2) what technologies are commonly used, and (3) what are the benefits and obstacles in this integration. The results of the study show three main patterns of human-technology collaboration: interactive, adaptive, and limited autonomy. In the interactive pattern, humans become decision makers with the support of data-based technology. The adaptive pattern utilizes AI and machine learning that learn from human interactions, but still requires ethical supervision. Meanwhile, the limited autonomy pattern gives decision-making authority to technology in a certain scope with human control. This study emphasizes the importance of the role of human values—such as intuition, empathy, and ethics—in maintaining the effectiveness of digital collaboration. The success of this integration is also influenced by organizational culture and leadership that are adaptive to innovation and a human-centered approach
Copyright (c) 2025 Dwiyanto Dwiyanto, Frhendy Aghata (Author) https://creativecommons.org/licenses/by-sa/4.0
Augmented Reality and Virtual Reality: Transforming Digital Experiences
This article discusses the development of Augmented Reality (AR) and Virtual Reality (VR) technologies and their role in the transformation of digital experiences. Using a literature study approach, this study examines various written sources, including scientific journals, technology articles, and recent industry reports, to understand how AR and VR have developed, are applied in various fields, and the challenges faced in their development. The analysis is carried out by comparing the main characteristics of AR and VR, especially in terms of immersion, interactivity, and hardware requirements. The results of the study show that AR is increasingly used in mobile applications, education, manufacturing, and marketing by combining digital elements into the real world. Meanwhile, VR offers a more immersive virtual environment and is widely applied in the entertainment industry, simulation training, and health. Advances in hardware, graphics, and artificial intelligence (AI) have increased the realism and interactivity of these two technologies, expanding their application in various sectors. Although promising, AR and VR still face challenges such as hardware limitations, high production costs, and ergonomic and privacy issues. With continued innovation, AR and VR are expected to be increasingly integrated into various aspects of life, making them key elements in future digital transformation.
Copyright (c) 2025 Dwi Atmodjo WP, Ahmad Syamsudin, Legito, Agustinus Lambertus Suban (Author) https://creativecommons.org/licenses/by-sa/4.0
E-Commerce System as A Web-Based Marketing Media for Fishermen's Catch in Wainami Village, Nabire Regency
Weinami Village is a village located on an island adjacent to Napan Village. The livelihoods of the residents in the village are as fishermen. The geographical position of the research location which is far from the city center makes it difficult for fishermen to market their catch. The livelihoods of residents around Weinami Village are fishermen, therefore there are no buying and selling transactions in the village, so the fishermen are confused about distributing their catch. E-Commerce is a system that connects sellers and buyers in an interaction network. If analogized as a market, then the transactions that occur take place digitally, not in a physical location. In this case, the business center is not a real building, but a digital-based system. By utilizing the internet network, the process of marketing and selling catches can be carried out widely without being hindered by national borders (Apridiansyah.et.all.2019). The author has developed a web-based fishing catch marketing system, starting from application planning to database creation. In the process, there was an error in the code that caused an error, but it was finally fixed. Currently, the marketing system in Weinami Village has been connected via localhost for testing purposes. Furthermore, this system is planned to be further developed with its own domain so that it can be used by fishermen in Weinami Village, thus facilitating transactions between sellers and buyers
Copyright (c) 2025 Nicodemus Rahanra (Author) https://creativecommons.org/licenses/by-sa/4.0
The Future of Electric Vehicles: Infrastructure Challenges, Battery Technology, and Automotive Industry Developments
This article is based on a literature review that includes various academic studies, industry reports, and trend analysis related to the development of electric vehicles. This method aims to provide a comprehensive overview of the challenges and opportunities in the adoption of electric vehicles, especially in the aspects of infrastructure, battery technology, and vehicle production and distribution. By collecting and analyzing data from various reliable sources, this article can present accurate and relevant information on electric vehicle trends at the global and regional levels. The results of the study show that while electric vehicles offer environmentally friendly solutions and better energy efficiency than fossil fuel vehicles, there are various challenges that need to be overcome. These include limited charging infrastructure, high battery production costs, and the need for regulatory policies that support the transition to electric vehicles. This article also discusses potential solutions through technological innovation, cross-sector collaboration, and sustainable investment in electric vehicle development. With the right strategy, electric vehicles have the potential to become the main choice in a more sustainable transportation future.
Copyright (c) 2024 Anggia Faradina (Author) https://creativecommons.org/licenses/by-sa/4.0
Factors of IT Project Failure: A Literature Review
This study aims to identify the key factors contributing to IT project failure. A literature review serves as the primary research method, with articles sourced from leading journal databases such as Scopus, IEEE Xplore, Google Scholar, and ProQuest using the keyword "IT project failure factors." The findings reveal that IT project failure is primarily caused by individual, organizational, and technical factors. Specific factors identified include a lack of project management skills, poor communication among team members, inadequate planning, and constraints related to budget and technology. Individual factors involve insufficient expertise and leadership, while organizational factors include weak support from management and unclear project objectives. Technical factors, such as outdated systems and integration issues, also play a significant role. This study emphasizes the need for a holistic approach in IT project management to minimize failure risks. Effective project planning, strong leadership, clear communication, and adequate resource allocation are crucial in ensuring success. By understanding these failure factors, organizations can implement better strategies to enhance project outcomes. Future research could explore specific mitigation strategies and best practices to address these challenges, providing valuable insights for IT professionals and project managers in improving project success rates.
Copyright (c) 2025 Betantiyo Prayatna, Muhamad Ihsan Suzeta, Honaris Clausa (Author) https://creativecommons.org/licenses/by-sa/4.0
Data Security Analysis of Chatting Applications Using End-to-End Encryption
This research aims to analyze data security in chat applications by applying end-to-end encryption techniques. The research method used is a literature study and qualitative analysis of chat applications that use end-to-end encryption. The results show that the implementation of end-to-end encryption in chat applications is effective in maintaining the confidentiality of user data, securing messages from hacking and data interception attacks, and increasing user security awareness. However, this study also identified some challenges related to application performance and encryption key management. Therefore, this study recommends the development of a more efficient and comprehensive end-to-end encryption technology to maximize user data security in chat applications.
Copyright (c) 2024 Intan Juniarmi (Author) https://creativecommons.org/licenses/by-sa/4.0
Wardriving Jaringan WIFI Serta Menganalisa Qos Pada Jaringan Internet Universitas Sriwijaya Yang Tidak Terenkripsi Keamanannya
Wardriving merupakan salah satu metode untuk mengetahui sebuah lokasi pengguna yang ditunjukkan pada teknologi jaringan wireless yang terpasang pada access point dengan bantuan beberapa perangkat yang dapat mendukung pencarian titik koordinat pada peta karena terkadang lokasi sebenarnya seringkali tidak tersedia, jadi dalam pengujian ini menggunakan metode wardriving, dengan menggunakan aplikasi berbasis Android yaitu WiGLE, Google Earth, dan GPS diharapkan dapat memudahkan proses pengamatan.Dalam paper ini saya menganalisis jaringan dengan metode Quality Of Servive (QoS) pada traffic Internet Universitas Sriwijaya menggunakan aplikasi Wireshark.Dalam paper ini kesalahan perkiraan koordinat jaringan tergantung pada aplikasi yang digunakan.Saya juga menganalisa dampak buruk jaringan public yang tidak terenkripsi keamanannya dengan cara menyerang dengan teknik Distributed Denial of Servive (DDoS) untuk mengetahui tingkat kerentanan pada jaringan tersebut.
Copyright (c) 2024 Edo Pratama (Author) https://creativecommons.org/licenses/by-sa/4.0
Analysis of Digital Technology on Language Style Changein Online Communication
Penelitian ini bertujuan untuk menyelidiki secara kritis dampak teknologi digital terhadap evolusi gaya bahasa dalam komunikasi daring. Dengan memanfaatkan metode observasi dan pendekatan kualitatif, penelitian ini menggali secara mendalam bagaimana teknologi digital memengaruhi pola komunikasi online. Komunikasi daring tidak hanya menjadi fenomena yang umum, tetapi juga merupakan cerminan dari perubahan budaya yang terjadi akibat penetrasi teknologi digital dalam kehidupan sehari-hari. Melalui pengamatan langsung terhadap interaksi online serta analisis konten pesan yang dihasilkan, penelitian ini bertujuan untuk mengidentifikasi tren perubahan dalam gaya bahasa, termasuk penggunaan singkatan, emotikon, dan bahasa informal. Pemahaman mendalam tentang bagaimana teknologi digital membentuk budaya komunikasi daring menjadi fokus utama dalam penelitian ini. Implikasi dari perubahan gaya bahasa yang teridentifikasi akan dianalisis secara kritis, dengan mempertimbangkan bagaimana hal ini memengaruhi interaksi sosial, literasi bahasa, dan pembentukan identitas remaja dalam lingkungan daring. Dengan memberikan pemahaman yang lebih dalam tentang dinamika komunikasi daring dalam era digital, penelitian ini diharapkan dapat memberikan landasan yang kuat untuk pengembangan strategi yang tepat dalam mempromosikan penggunaan bahasa yang efektif dan bermakna dalam konteks komunikasi daring yang terus berkembang.
Copyright (c) 2024 Naela Mikyalul Faizah (Author) https://creativecommons.org/licenses/by-sa/4.0
Information System Security Analysis in the Era of Internet of Things (IoT)
The analysis of information system security in the Internet of Things (IoT) era reveals the complexities and challenges associated with ensuring the integrity and security of an increasingly connected infrastructure. The research method used in this study is qualitative research, Data related to information system security in the context of IoT will be collected from various sources, including scientific literature, research reports, and technical documentation and analyzed in-depth literature. Serious threats such as malware, ransomware, and denial of service (DoS) attacks require a proactive and holistic approach in dealing with them. Lack of consistent security standards, device interoperability vulnerabilities, and lack of end-user security awareness are the main focus of efforts to improve security in IoT environments. Cooperation between industry, government, and other stakeholders is needed to develop robust security standards, increase user security awareness, and address interoperability challenges. Through these measures, it is hoped to create a safer and more secure IoT environment, maintaining data integrity and infrastructure security in an increasingly connected and complex era.
Copyright (c) 2024 Desi Ratna Sari (Author) https://creativecommons.org/licenses/by-sa/4.0
Design Of Steganography Application To Secure Messages Using Least Significant Bit (Lsb) Method Based On Android
The Internet, an interconnected network, has become one of the most widespread data communications medias in the world. With the development of various illegal information retrieval techniques, many people try to get information that does not belong to them. Various techniques to protect sensitive information from unauthorized persons are widely used to protect important information. Steganography is a technique for hiding message files from the public who know their existence. This technique is often used to avoid suspicion or people who want to know the contents of the message file. Steganography is the science and technique of writing hidden messages so that no one else knows about their existence. Therefore, the application of plain-text steganography is inserted into the Least Significant Bit (LSB) encrypted image carrier. This allows mobile users to send the author's message to the recipient securely..
Copyright (c) 2024 Technologia Journal https://creativecommons.org/licenses/by-sa/4.0
In the context of a distributed database, data is stored on various computers that are interconnected through communication media such as high-speed buses or telephone lines. A distributed database system consists of a set of sites, where each site has the ability to execute transactions that access data at one or more sites. A distributed database is a collection of logical data that is physically dispersed in a computer network, which is independent of current or future application programs. Fragmentation is a phenomenon in which storage space is inefficiently utilized, resulting in reduced storage capacity, while the term also refers to the condition of the deserted storage itself. Replication, on the other hand, is a technique for copying and distributing data and database objects from one database to another, as well as maintaining data consistency through synchronization between databases.