The International Conference on Information Technology and Security (IC-ITECHS) is an international proceedings platform that serves as the official publication medium for The 1st International Conference on Digital Transformation and Sustainable Technologies (DIGITS) 2026, organized by Universitas Bhinneka Nusantara (UBHINUS) in collaboration with partner institutions. DIGITS 2026 will be held on July 22, 2026, under the theme “Advancing Digital Innovation for Sustainable Societal Impact and Global Collaboration.” This conference brings together academics, researchers, professionals, and students to share research findings and innovative ideas in the field of digital transformation and sustainable technologies. IC-ITECHS is dedicated to publishing high-quality scholarly articles in the field of information technology and related disciplines. All accepted papers presented at DIGITS 2026 will be published in the IC-ITECHS international proceedings, which are accessible online and supported by an ISSN. This ensures that each research contribution is formally documented, widely disseminated, and contributes to the global body of knowledge. Through its role as the official proceedings platform, IC-ITECHS supports the advancement of research, innovation, and academic collaboration in digital transformation and sustainable technologies.
Design and Construction of a Website-Based Garment Production Information System
Garment is a specialist production in producing various types of clothing such as ready-to-wear clothing, sportswear, clothing accessories, etc. by utilizing information technology. As time goes by, there are now more and more companies operating in the garment sector and as technology advances, garment companies are now starting to intensively use a system in their production flow. The Garment Industry is a company that operates in the garment manufacturing sector. However, in its operation there are still many problems such as slow operation, less effective data management, manual reporting, missing range data and many more. Administrative activities in garments such as processing order data, order allocation and preparing reports still do not meet operational achievements. Because of this, an information system is needed which is expected to help garment companies solve the problems they face. The role of this information system is the right solution to deal with the problems faced by the company so that everything runs effectively and efficiently. The method that the author used in writing this final assignment was by observing the company premises, conducting interviews with people related to the company, and studying literature from several journals and guidelines for writing this final assignment. Thus, this system is expected to increase the productivity and service quality of garment companies, as well as make a positive contribution to their business growth. The system proposed by the author is web-based, built with a sequence of steps, namely problem identification, needs analysis, coding, design and testing.
The Quantum-Assisted Fingerprint Biometrics: a Novel Approach To Fast And Accurate Feature Extraction And Synthetic Generation
This research explores the integration of artificial intelligence (AI) and quantum computing to enhance fingerprint biometrics through improved feature extraction and synthetic fingerprint generation. Traditional fingerprint biometrics face challenges related to processing speed and scalability, particularly when managing large datasets or creating synthetic fingerprints for testing and training purposes. We propose a dual approach: using convolutional neural networks (CNNs) to extract distinctive fingerprint features—such as loops, whorls, and minutiae points—and employing generative adversarial networks (GANs) for the synthesis of high-quality fingerprint images that preserve realistic patterns and variations. To address computational limitations in processing these data-intensive tasks, we explore the use of quantum computing algorithms. Specifically, we implement a hybrid quantum-classical model, using quantum support vector machines (QSVM) for feature classification and quantum-enhanced GANs (QGAN) to speed up synthetic fingerprint generation. Preliminary results indicate that quantum-assisted models demonstrate promising efficiency gains in both feature extraction and image synthesis, potentially enabling faster processing and improved scalability compared to classical models alone.This study contributes to biometric security by providing a framework for faster, more accurate fingerprint biometrics using cutting-edge AI and quantum methodologies. The findings hold potential applications in security systems, law enforcement, and digital identity management, where real-time analysis and synthetic data generation can strengthen verification and identification processes. Future work includes optimizing quantum components for larger datasets and further refining AI models to improve the realism of generated fingerprint images.
IT Infrastructure Security Optimization Strategies for Today's Organizations
Information technology (IT) infrastructure security is one of the top priorities for organizations in the digital age. The rapid adoption of technologies such as cloud computing, the Internet of Things (IoT), and artificial intelligence has presented great opportunities for innovation, but also increased the risk of cyberattacks, data theft, and system vulnerabilities. This research aims to identify and develop IT infrastructure security optimization strategies that can enhance the protection of an organization's digital assets. The approach used includes risk analysis, implementation of a comprehensive security framework, and adoption of advanced defense technologies such as encryption, next-generation firewalls, and artificial intelligence-based threat detection systems. The results show that an integrated, adaptive strategy supported by solid policies can improve system resilience while supporting operational flexibility. Thus, this research provides practical recommendations for organizations to build an IT infrastructure that is secure, resilient, and ready to face future challenges.
The Role of Software Engineering in Digital Transformation of Industry 4.0
Industry 4.0 is characterized by the adoption of advanced technologies that are changing the way companies operate, interact with customers, and produce products. One of the key factors in the success of digital transformation in this era is software engineering. Innovative and flexible software is the foundation for the implementation of technologies such as the Internet of Things (IoT), artificial intelligence (AI), big data, and automation that support modern industrial operations. This article discusses the critical role of software engineering in accelerating the adoption of Industry 4.0, with a focus on developing software that supports interoperability, scalability, and security in an ever-evolving digital ecosystem. It also discusses the challenges faced by software developers, including the need for new skills, integration of legacy systems, and management of big data generated by devices and sensors. With the right software engineering approach, companies can harness the full potential of Industry 4.0 technologies to improve operational efficiency, productivity, and innovation.(Furstenau et al., 2020)
A Train Driving Simulator to Enhance Railway Technology Student’s Learning Experience Using Prototype Method and OpenBVE
A Train Driving Simulator is a software application that tries to replicate the experience of operating a train. This unique equipment minimizes the expense of using actual rolling stock to teach future railway staff. The research aims to create a Train Driving Simulator with OpenBVE for Railway Technology students. The research focused on making a simulator that simulates the feeling of driving a train, which involved detailed physics modeling and control of the train. The simulator was built to be user-friendly and accessible, with features such as the 3D representation of the LRT Line 1 route and its compact, portable architecture. The simulator was built from commercial off-shelf parts and tested for usefulness, safety, and durability. The simulator's performance was tested using the TUP evaluation metrics. The research aimed to enhance the learning experience of students undergoing railway technology by providing on-site training in operating a train. The simulator will likely provide students and instructors with maximum benefit in courses like Railway Signaling, Rolling Stocks, and Railway Facilities
Digital Financial Strategies in Managing SMEs to Maximize Profitability
Micro, Small, and Medium Enterprises (MSMEs) are the backbone of the Indonesian economy. However, they continue to face significant challenges in financial management. Key issues include a lack of financial literacy, manual record-keeping prone to errors, limited access to formal financial services, and minimal adoption of digital technology. These obstacles often lead to operational inefficiencies, data-less decision-making, and low market competitiveness. Digital financial solutions emerge as innovative tools to address these challenges. By leveraging digital technology, MSMEs can enhance operational efficiency, accelerate transactions, support strategic decision-making, and improve access to formal financial services. This article explores various benefits of digital financial solutions, ranging from financial transparency and cost savings to the potential for significantly increasing profitability. Additionally, the article presents practical and relevant digitalization strategies for MSMEs, including step-by-step adoption approaches and case studies of successful MSMEs that have embraced technology. Through the use of illustrations such as graphics, flowcharts, and real-world examples, this article aims to provide actionable and inspiring insights for MSME players in optimizing digital finance. By doing so, MSMEs can achieve sustainable business practices and improve competitiveness in the digital economy era.
Challenges in Supply Chain Management for MSMEs in Maintaining Financial Stability in the Digital Era
Micro, Small, and Medium Enterprises (MSMEs) play a strategic role as a cornerstone of the economy in various countries, including Indonesia. However, the era of globalization and digitalization presents complex challenges in supply chain management that threaten the financial stability of MSMEs. Some of the key issues faced include dependency on single suppliers, limited access to digital technology, minimal transparency within the supply chain, and rapidly changing global market dynamics. These obstacles often lead to uncertainty in inventory management, increased operational costs, and reduced production efficiency. This article not only identifies these challenges but also provides an in-depth analysis of their impact on the sustainability of MSMEs. Using a solution-based approach, the article offers practical strategies such as supplier diversification to mitigate dependency risks, digital technology integration to enhance supply chain efficiency, and collaboration within supply chain ecosystems to create stronger synergies. Furthermore, the article discusses the role of governments and business communities in supporting digital infrastructure development and providing training for MSMEs to adapt to technological changes.To illustrate the implementation of these strategies, the article includes flowcharts, graphs, and real-world case analyses as practical guides for MSMEs. With this approach, MSMEs are expected to maintain financial stability, improve competitiveness, and achieve sustainable growth amidst the challenges of globalization and digital transformation.
Sustainable Business Model: MSME System Digitalization and Its Impact on Profitability
Micro, Small, and Medium Enterprises (MSMEs) are the backbone of the economy in many countries, including Indonesia. MSMEs make significant contributions to job creation, local economies, and social stability. However, many MSMEs face significant challenges in managing supply chains, product distribution, and marketing, which often hinder their growth potential. The digitalization of MSME systems emerges as a solution to address these issues, as technology enables automation, operational efficiency, and expanded market access. This article explores the concept of a sustainable business model that integrates digitalization into MSME operational systems and its impact on profitability. The main focus of this study is on how digital technology can improve efficiency, open new markets, and drive long-term sustainability. By including case analyses, data, and relevant illustrations, this article aims to provide practical insights for MSMEs to optimize their digitalization efforts for higher profitability.
The Effectiveness of Watching Movies Using English Subtitles in Teaching Vocabulary
This study assesses the effectiveness of using movies with English subtitles for teaching vocabulary. Experimental research refers to a method in which one explores variables for their causing effect through manipulation and observes the impact on another variable. The present study was conducted experimentally with SMPN 1 Peukan Bada grade VIII students. The study's sample consists of 57 students divided into two classes: one, VIII 5, as an experimental class in which the movies were shown with subtitles in English, and the other, VIII 7, as a control class where the movie was presented without subtitles. Data has been collected in the form of pre-and post-tests to measure the improvement in vocabulary acquisition by students. The average of pre-tests was 58 for the experimental and 56 for the control classes. It was observed that the experimental class had a steep increase in their vocabulary score as compared to the control class. The mean post-test score of the experimental class was 90 while the average of the control class climbed up to 76. Data were analyzed using both independent t-tests and paired t-tests to determine the significance of differences between the two groups by SPSS. The results of the statistical analysis indicated that there was indeed a significant difference between the two classes, with the p-value less than <0.001. Therefore, it would be proper to conclude that the use of English subtitles while watching movies effectively enhances vocabulary acquisition for students.
From Waste to Worth: Unlocking the Potential of Liquid Biomethane for a Decarbonized Energy Future
Liquid biomethane (LBM), derived from purified biogas, is a low-carbon, renewable energy source that can contribute to energy security and climate change mitigation. LBM produces a transportable, high-density fuel that can replace fossil fuels in a range of industries by turning organic waste into a liquid energy source. This study looks at the properties of liquid biomethane, the processes required to produce and liquefy it, and its use in transportation, industry, and power generation. The report highlights the ways in which LBM advances worldwide decarbonization efforts, reduces greenhouse gas emissions, and aids in waste management. Technical challenges and emerging opportunities are also discussed to chart the path for LBM's adoption in a sustainable energy future.
Empowering Sustainable Startups in Kenya Through Blockchain Technology
This study investigates the potential applications of blockchain technology to offer a solid basis for supporting long-term, sustainable Kenyan entrepreneurs. The study investigates how blockchain technology's decentralized, transparent, and secure features might increase investor confidence, increase stakeholder engagement, and speed up funding processes for sustainable projects. The key findings indicate that blockchain can significantly improve transparency, reduce inefficiencies in the fundraising process, and attract a diverse range of investors to support companies. However, barriers including ambiguous laws, complex technology, and poor awareness make widespread adoption challenging. To solve problems, the paper emphasizes the need for an all-encompassing framework that includes capacity building, policy alignment, and clever public-private partnerships. By prioritizing these initiatives, stakeholders may unlock blockchain's transformative potential to assist Kenya's green development goals, foster innovation, and accelerate sustainable startup growth.
Risk Analysis of Computer Network Security Focusing on Phishing Attacks in Fintech Platform
The advancement of Science and Technology, particularly in Information Technology such as the internet, has significantly facilitated individuals in achieving their life goals quickly, either through legal or illegal means. One prominent threat is phishing, which employs social engineering techniques to deceive users by impersonating authoritative entities. Phishing targets various industries, with the fintech platform sector being one of the primary targets. The main factors contributing to phishing in fintech platform services include users' lack of knowledge, psychological factors, and insufficient privacy protection on social networks. Therefore, computer network security is a critical measure to prevent phishing attacks on fintech platform services. This research employs a qualitative method with a descriptive approach.
An Analysis of Family Structures and Daily Life Among the Sea Tribe in Riau: A Cultural Perspective
This study explores the family structures and daily life of the Sea Tribe in Riau, focusing on their unique cultural practices, social dynamics, and adaptation to their maritime environment. The research employs a qualitative approach, utilizing ethnographic methods such as in-depth interviews, participant observation, and document analysis. The findings reveal that the Sea Tribe’s family structures are shaped by their communal living patterns, with strong kinship ties playing a central role in social organization and decision-making. Daily life revolves around traditional maritime activities, including fishing, boat building, and trading, which are integral to their economic and cultural identity. Furthermore, the study highlights the intergenerational transmission of knowledge and the role of rituals in strengthening familial and community bonds. Challenges such as modernization, environmental changes, and shifting socio-political landscapes are also examined, shedding light on how these factors impact their way of life. This research contributes to the understanding of indigenous maritime communities and emphasizes the importance of preserving the cultural heritage of the Sea Tribe in Riau amidst rapid global change
Information Systems Audit Using the 2019 COBIT Framework with Domain DSS01 and BAI04 on the Grand Landak Hotel Reservation System
Grand Landak Hotel is one of the hotels that has implemented information systems in their operations, one of which is the room booking or reservation section. At this time the reservation system is used by the front office of the hotel by the receptionist, which is part of the hotel's front office. Therefore the system must be able to manage, store and maintain data security and the system can operate when there is an increase in reservations. So this research aims to evaluate the operational efficiency and availability of the reservation system in the Front Office Department of the Grand Landak Hotel using the COBIT 2019 framework. This research focuses on two main domains, namely DSS01 (Managed Operations) and BAI04 (Managed Availability and Capacity). While the data was obtained through interviews with the general manager and front office staff of the hotel. The results showed that the service process has been running well with a result of 49.4 percent and for capacity of 54.8 percent but technological innovation requires more attention, especially in actively involving employees in the process of implementing new systems.
Implementation of COBIT 2019 with Domain DSS01, DSS03, and MEA01 for Audit of Customer Water Usage Recording Information System at HIPPAM Mandiri Arjowinangun
Currently, HMA faces challenges in optimizing the recording system, because the meter recording process is still done manually. This manual process hampers operational efficiency and data accuracy which impacts the quality of service to customers. Therefore, it is necessary to evaluate the existing information system to measure whether the application of information technology is in accordance with the goals and expectations of the organization. This study aims to analyze the application of information technology in HMA using the COBIT 2019 framework, specifically in the domains DSS01 (Manage Operations), DSS03 (Manage Problems), and MEA01 (Monitor, Evaluate, and Assess Performance). Through capability analysis in these three domains, this study identifies gaps in the existing system and provides recommendations for improvements to improve the efficiency and accuracy of the customer water usage recording system. The results of the study indicate that HMA's capability level is still below the desired target, so it is important to make improvements by implementing more integrated digital solutions and improving continuous monitoring and evaluation of system performance.
This study, conducted by the Makar Team, students of Visual Communication Design (DKV) at STIKI Malang, aimed to develop an Augmented Reality (AR) application to assist visitors in exploring the historical context of the Singosari Museum in Malang. Utilizing the design thinking methodology, the research comprised five stages: empathize, define, ideate, prototype, and test. Direct observation was conducted during the empathize stage to understand visitor needs. Problems were formulated in the define stage, followed by ideation (ideate) and prototype development (prototype). The prototype was tested (test) to gather feedback. The results showed that the AR application significantly enhanced historical understanding and provided innovative interaction with historical information.
Effectiveness of ChatGPT vs. Perplexity AI in English Language Learning at the University of Serambi Mekkah
This study aims to compare the effectiveness of ChatGPT and Perplexity AI in the English Language Learning. It employs a mixed-method approach to determine the effectiveness of the two AI tools, ChatGPT and Perplexity AI, in improving English language learning at the University of Serambi Mekkah. Questionnaires and interviews were used to collect data. The results showed that 73.3% of participants favored the use of ChatGPT because of its interactive features and easy navigation. Sixty percent believed that ChatGPT provides more accurate information as opposed to Perplexity AI. This helps to motivate the learners and boost their confidence in using the language. Their counterpart, Perplexity AI, was preferred by a minority of respondents (13.3%) for its speed and accuracy. In this respect, ChatGPT was rated by participants as “highly effectiveâ€ in improving their English skills, and 40% were “highly satisfiedâ€. In contrast, only 26.7% considered Perplexity AI more effective and satisfying. Though ChatGPT is undeniably favored, the study acknowledges how Perplexity AI may serve as customized support, in satisfying specific needs regarding language learning. Both are very helpful for English language acquisition, though ChatGPT is favored because it is more appealing. These findings would be useful to educators in incorporating appropriate AI technologies into language curricula to meet various learners' needs and improve learning outcomes. This research has emphasized how AI tools support the more conventional ways of teaching a language and gives useful insight that is relevant to further education.
Assessment of Cultural Sensitivity in the ChatGPT’s Translation of the Acehnese Chronicle ‘Ali Peureudan’
Cultural sensitivity is an integral aspect in translation to ensure the preservation of context and meanings, allowing the readers to grasp the intended meanings; however, this aspect was often omitted and still highly under-researched. The research aimed to examine cultural sensitivity in the ChatGPT’s English translation of the Acehnese Chronicle of Ali Peureudan originated from Aceh Province, Indonesia. The story contains culturally-specific phrases in Acehnese and Arabic languages. The research was a Comparative Literary Analysis which is descriptive qualitative in nature. The source text (ST) and Target Text (TT) generated by ChatGPT were compared and analyzed carefully using the Translation Quality Assessment developed by Juliane House (2015). There were 26 cultural phrases in total under analysis. The results revealed that 85% of ChatGPT’s renditions of culturally-bound terms were covert, which means that the phrases were adapted to the target language norms (English), such as Allah as ‘God’, Insya Allah as ‘God willing’, and ‘Surat’ as ‘Wish’, causing a loss of cultural nuance, generalization, semantic narrowing, and meaning distortions. Only 15% of the analyzed phrases were translated overly by maintaining their original versions, avoiding diminution of cultural meanings. Of the 15%, only a single word was found to be kept intact in its original version yet accompanied by a meaning description, namely the word Alhamdulillah (Praise be to God). Such strategy protects its originality, avoids erasure of cultural details, as well as provides understanding to the target readers of its intended meaning. This research concludes that ChatGPT still lacks cultural sensitivity in rendering a literary work. This research is expected to be a foundation for those using ChatGPT as a translation tool for such culturally sensitive texts, and provide an input to ChatGPT developers to improve its system for more accurate rendition.
Mapping and Prediction Analysis of Rice Fertilizer Use in Paron District, Ngawi Regency using K-Means and Fuzzy Sugeno Methods
Clustering and prediction methods are effective tools in overcoming this problem. In this research, the K-Means method was used to map fertilizer needs based on regional characteristics, such as soil type, planting patterns and land productivity levels. This method is able to group regions that have similar characteristics, making it easier to determine optimal fertilizer allocation. Next, the Fuzzy Sugeno method is applied to predict fertilizer needs in the next planting season based on historical data and the results of the grouping that has been carried out. By combining these two methods, it is hoped that the results of this research can provide accurate recommendations for the effective and efficient use of fertilizer. Mapping and predictive analysis on the use of rice fertilizers in Paron District, Ngawi Regency in 12 villages were carried out by referring to the K-Means and Fuzzy Sugeno methods. Mapping with the K-Means Method is done by determining the centroid and clustering, while the prediction mapping using the Fuzzy Sugeno Method is done by determining the variables and fuzzy sets as well as the condition calculation rules. The results obtained are that 2 villages are in the category of low fertilizer use, 3 villages are in the category of medium fertilizer use and 7 villages are in the category of high fertilizer use. Based on the prediction calculation using the Fuzzy Sugeno Method, it was found that the level of error in the comparison of data was 5.36%, meaning that from 100% of the error rate difference, the truth value in calculating the prediction of the use of urea fertilizer using the fuzzy Sugeno method was 94.64%.
Enterprise Architecture Planning Information System at Bus Rental Service Company
In increasing customer satisfaction, convenience and improving the quality of the company. The company engaged in bus rental services is PT. Transaba wants to have a digital platform and an integrated management system in the Company. One way is to do enterprise architecture planning to find out what systems/applications are urgent to create. The EAP framework provides the direction desired by the Company with its stages, including planning initiation, business modeling, current systems and technologies, data architecture and application architecture, and technology architecture. In this planning, the Company's directions and guidance regarding what must be done first to achieve the objectives, namely Procurement and installation of infrastructure, Customer Management System, Reservation management system, Scheduling and route system and Human Resources Training
Web-Based Student Internship Monitoring Information System (Case Study: SMK Ma'arif NU 2 Boyolali)
Internships are an essential component of vocational school programs, including at SMK Ma'arif NU 2 Boyolali, where students engage in six-month fieldwork during the 12th grade. The current monitoring process relies on WhatsApp and manual documentation, including paper-based journals for attendance, daily activity logs, and final report submissions. This manual approach is inefficient and complicates data management for supervisors. This research aims to develop a web-based information system to streamline the monitoring and management of student internships. The study employs observation, interviews, and literature review for data collection, alongside the SDLC method for system development through planning, analysis, design, implementation, and maintenance. The system provides three user roles: admins manage data and reports; students log attendance, activities, and submit reports; and supervisors verify submissions. Black box testing confirmed functional success, while user testing yielded an average satisfaction score of 87.53%, demonstrating the system's effectiveness and usability.
Design and Development Website English Learning for Elementary School to Increase Engagement
The development of technology has a great influence on the development of Learning media is one of the factors that plays an important role during the learning process especially for elementary school. Elementary school currently use gadget media as a daily guide but are not used as a medium for learning English. This causes a decrease in value and a lack of interest in learning English through book media due to the lack of enjoyable interaction. The purpose of this study is to find out how to design and build English learning media and increase engagement for elementary school in grade 4 based on a website that can increase interest in learning and help the teaching and learning process to be more efficient. This learning media is designed with several features such as materials, sample questions, learning videos, and practice questions which are expected to motivate students to continue to understand the learning materials obtained. The steps used in building this website are through planning needs then system design then system development and the last is implementation. This study uses Cognitive Engagement type engagement which means involvement in cognitive. With the system on the website, it is expected to help 4th grade elementary school students in English learning activities.
This research explores the application of augmented reality (AR) technology to promote the historical heritage of colonial architecture in East Java, with a focus on Malang. By creating immersive 3D visualizations of iconic buildings, the project aims to document and preserve cultural heritage, raise public awareness, and support sustainable urban planning. The project aligns with Sustainable Development Goals (SDGs) 4 and 11, fostering quality education and sustainable cities.
ERP Effectiveness in Improving Production Efficiency
This research specifically investigates how the implementation of ERP systems impacts the operational performance of manufacturing companies. By analyzing the literature and conducting case studies, this research uncovers potential efficiency improvements in various aspects, including reduced production time, optimized use of resources, and improved data quality. The results of this study are expected to provide valuable recommendations for manufacturing companies in implementing ERP effectively and achieving competitive advantage.
Mengoptimalkan Bisnis dengan IoT: Solusi Cerdas untuk Masa Depan
internet of Things (IoT) telah menjadi teknologi yang sangat relevan dalam mengoptimalkan bisnis di berbagai sektor. Penelitian ini bertujuan untuk mengeksplorasi bagaimana IoT dapat meningkatkan efisiensi operasional, mengurangi biaya, serta memberikan wawasan lebih dalam untuk pengambilan keputusan berbasis data dalam bisnis. Melalui survei dan wawancara dengan para profesional di industri yang telah mengadopsi IoT, penelitian ini menemukan bahwa penggunaan IoT di berbagai bidang seperti manufaktur, logistik, dan ritel memberikan manfaat yang signifikan dalam meningkatkan produktivitas, pengelolaan sumber daya, dan pengalaman pelanggan. Namun, tantangan utama yang dihadapi adalah masalah keamanan data dan integrasi dengan sistem yang ada. Penelitian ini menyimpulkan bahwa meskipun tantangan tersebut ada, potensi besar IoT dalam mengoptimalkan bisnis memberikan keunggulan kompetitif yang signifikan bagi perusahaan yang dapat mengelolanya dengan baik.
Improving Network Security: Protection Strategies in the Digital Age
Network security is an important factor in protecting data in the digital era. Threats such as DDoS attacks and malware can damage information systems. This article discusses network protection strategies, including the use of firewalls, encryption, VPNs, and Zero Trust Security. In addition, the implementation of multi-factor authentication and user awareness are also identified as crucial mitigation measures. By utilizing technologies such as artificial intelligence, threat detection can be done more efficiently. This research aims to provide practical solutions to improve network security and reduce the risk of cyber attacks.
Hospital Management Information System in Increasing Efficiency
Healthcare services are the main topic because of the high complexity challenges in the health sector. The purpose of this study is to determine the implementation of Hospital Information System (HIS) in increasing the efficency of healthcare services. The research design used in this article is a literature review method related to Hospital Information Systems in supporting the efficiency of hospital services using databases. In this study, the researcher collected literature review data with a thematic structure based on the concept of thinking using the keywords "hospital information system", "information system efficiency", and "healthcare efficiency" which were compiled to answer scientific questions by grouping and discussing literature sources accordingly to the theme or topic. The results showed that Hospital Information System can minimize the complexity of healthcare services by increasing organizational efficiency through innovation in developing information system based on business process management, service automation, reducing costs, improving hospital performance, which aims to develop human resources, organizational development, and technological quality improvement to achieve efficency in healthcare services.
Advamcement of Technology and ITS Impact on Modern Society
This study explores the rapid advancements in technology and their impact on modern society, focusing on sectors such as communication, healthcare, education, transportation, and entertainment. It examines the positive contributions of technological innovations while addressing challenges like cybersecurity threats, privacy concerns, and automation. The research employs qualitative analysis, integrating data from various academic sources. The findings reveal that technological advancements significantly improve efficiency and accessibility, but ethical considerations are crucial for sustainable progress.
SOA-Based IT Infrastructure Planning Strategy to Optimize Network Management in Companies
This research aims to develop a Service Oriented Architecture (SOA)-based information technology (IT) infrastructure planning strategy to optimize network management in the company. In the increasingly complex digital context, companies require flexible and integrated IT infrastructure to enhance operational efficiency. The methodology used includes stakeholder needs analysis and mapping of network management functions based on the FCAPS reference. (Fault, Configuration, Accounting, Performance, Security). Through interviews and observations of the current infrastructure conditions, this research found that the implementation of SOA can enhance interoperability between applications and simplify the management of IT resources. The resulting design includes logical and physical topologies aimed at improving the reliability and security of the network management system. It is expected that the implementation of this strategy will enhance service performance and provide added value to the company in facing dynamic business challenges.
E Evaluation of Bandwidth and Latency of Wireless Sensor Networks Using JPERF Simulation
WSN is a sensor network that uses wireless communication to connect sensor nodes This research discusses the evaluation of wireless sensor networks (WSN) which was a case study carried out at the Banda Aceh Mayor's Office, with a focus on measuring bandwidth and latency using the JPerf application. Testing is carried out through star topology simulation, where the server and client are connected to each other via an access point. The TCP protocol is used for bandwidth measurements, while the UDP protocol is used for latency measurements. Test results show the average bandwidth ranges from 7,518-8,029 Kbits/s with significant fluctuations due to network interference. Network latency was recorded as stable at 996 Kbits/s with low jitter. This evaluation provides recommendations for improving network performance through optimizing QoS management and strategic device placement. With this implementation, network reliability can be increased to support operational activities efficiently.