learning, communication, and data management activities. This study aims to design a LAN network topology that suits the needs and environmental conditions, both at home and in small to medium-scale educational institutions. The methodology used includes hardware requirements analysis, network topology selection, and simulation using software such as Cisco Packet Tracer. The design results show that the use of a star topology for home networks and a combination of star and extended star topologies for schools provide optimal performance in terms of speed, scalability, and ease of maintenance. This design also takes into account aspects of security, cost efficiency, and ease of future development. The development of information technology drives the need for reliable and efficient computer networks, especially in home and school environments. The design of Local Area Networks (LANs) is an important solution in supporting integrated

This study aims to develop the Sido Makmur Village information website to improve the quality of public services, expand access to information, and encourage community participation in village development. The research employed a descriptive qualitative approach, with data collected through in-depth interviews, participatory observation, and documentation. Data analysis used an interactive model consisting of data reduction, data presentation, and inductive conclusion drawing. The results showed that the development of the village website had a positive impact on administrative service efficiency, faster information delivery, and increased citizen engagement, particularly among the younger generation. The website also served as a strategic platform for documenting activities, presenting financial reports, and promoting village potential more widely. Despite challenges such as limited digital infrastructure and technical capacity of human resources, the desa-sidomakmur.com website proved to be an innovative solution in strengthening transparent and participatory village governance based on information technology.

The rapid growth of e-commerce requires innovative solutions to enhance consumer engagement and overcome online shopping limitations. This research analyzes the impact of Augmented Reality (AR) technology on consumer purchase intentions in e-commerce through a quantitative approach involving 150
AR users. Using PLS-SEM analysis, this study examines the relationships between AR characteristics (interactivity, visual quality, novelty, informativeness) and consumer perceptions (enjoyment, usefulness, hedonic value) and their effects on satisfaction, attitude, and purchase intention. Results indicate that visual quality and informative aspects of AR most significantly influence consumer perceptions, while enjoyment  and  hedonic  value  significantly  affect  consumer  satisfaction  and  positive  attitudes.  These
findings provide guidance for e-commerce practitioners to balance practical functionality with engaging experiences in developing AR applications as an effective marketing strategy

The purpose of this study is to develop and build an online information system for making a Certificate of Inability to Pay (SKTM) to overcome the problem of manual service procedures in Bercak Village. The approach used in building this system is the waterfall model which includes the stages of needs analysis, design, implementation, testing, and maintenance. Data collection is carried out through observation, interviews, literature reviews, and documentation. Through this system, the community can apply for SKTM online, making it easier for administrators to verify and village heads to issue SKTM. In addition, WhatsApp is also used to send notifications when the letter has been completed. The results of the blackbox test show that each feature runs as expected. This method is believed to be able to improve the accuracy, efficiency, and transparency of village administration services.

Doa Ibu Rice Agent Shop is a business that focuses on food processing production, especially rice production. However, the sales system at rice agent shops still uses traditional methods. To overcome this problem, it is necessary to design website-based e-commerce that has effective user interaction with the use of e-commerce features that are easy to use and understood by users.  The data collection methods used in this research are interviews, observation, documentation, literature study and questionnaires. Meanwhile, the system development method created is using a prototype. The results of this research are in the form of a website-based e-commerce website at the Ibu Tambaksari Kidul Doa Rice Agent Store. Based on the results of a questionnaire to 10 respondents, the percentage of 78.4% was in the "agree" interval scale, so it can be concluded that the website created was in accordance with what was expected.

In today's digital world, data security is crucial for communication and document storage, especially for text files containing sensitive information. The focus of this research is the use of modern cryptographic algorithms Advanced Encryption Standard (AES) in text file encryption. The research process includes the creation of a prototype application that uses (AES). After developing the prototype, we tested its performance both in terms of processing speed and security level. From there it is known: AES is much more efficient than Vigenère. Vigenère may have strong encryption, but unfortunately it is easily broken by cryptographic analysis.

In 2020, the COVID-19 pandemic had a significant impact on the healthcare sector in Indonesia, including the number and distribution of healthcare workers. Entering the recovery phase in 2022, various changes occurred in the healthcare employment system, which could affect the number of healthcare workers in different regions, including East Java Province. This study aims to analyze the differences in the number of healthcare workers in East Java between 2022 and 2023 using the Multivariate Analysis of Variance (MANOVA) method. In this study, multivariate normality was tested using Mardia's method, while the homogeneity of the covariance matrix was analyzed through Box's M test. The results of the tests indicated that the data met these assumptions, allowing MANOVA to be properly applied to identify the variables influencing the differences in the number of healthcare workers in East Java. These findings are expected to assist policymakers in designing a more effective distribution plan for healthcare workers.

Ainayah Al Fathiyyah (19210306) Hilmiah (1921030721), UX and UI Analysis of the PKS Faction Aspiration Website Based on the Delone & Mclean Information System Success Model
The Aspirasi Information System Website of the Prosperous Justice Party (PKS) is a digital platform designed to facilitate public participation in conveying aspirations directly to legislative representatives. The success of such an information system is not solely determined by its technical functionality but also by its visual quality, ease of user interaction, and perceived security. This study aims to analyze the influence of website quality, features, and security on user satisfaction, using the DeLone and McLean Information System Success Model combined with User Experience (UX) and User Interface (UI) principles.This research applies a quantitative approach through a survey method by distributing questionnaires to respondents who have used the PKS aspiration website. The research instrument is based on a Likert scale and includes several independent variables such as design and interface, features and functionality, and information and accessibility, which are analyzed for their influence on the dependent variable, namely user satisfaction. The data analysis techniques used include validity testing, reliability testing, descriptive statistics, and multiple linear regression analysis. This study is expected to contribute to the evaluation and development of public digital information systems, particularly in the context of political aspiration services that emphasize transparency, participation, and user comfort in online interactions.

 In this era of technology, to handle several obstacles in conventional ticket ordering such as long queues at the station, limited time owned by consumers, the process of delivering information about ticket prices for the day of departure or previous dates that cannot be processed, PT Kereta Api Indonesia (KAI) provides a solution through the KAI Access application which will facilitate ticket ordering, fast transaction process, reduce operational costs when ordering tickets, delivery of information about schedules and ticket prices that can be accessed quickly. By downloading the KAI Access application, the counter feels like it is in your hand, like the slogan buying tickets is as easy as updating status is one of PT. KAI's campaigns in the program buying tickets is easy.

This study aims to analyze information technology service management (IT Service Management) in the product ordering process through the Klik Indomaret application developed by PT Indomarco Prismatama. As consumer demand for fast and efficient online shopping services increases, the company is required to provide a reliable, responsive, and user-friendly IT service system. This research employs a qualitative approach, using data collection techniques such as interviews, observations, and document analysis. The analysis is based on the ITIL (Information Technology Infrastructure Library) framework to evaluate the effectiveness of service management in supporting core business processes. The findings indicate that although the Klik Indomaret application has positively contributed to streamlining the ordering process and improving customer satisfaction, several challenges remain, such as delays in stock data updates, system disruptions, and limited integration among IT services. Recommendations include enhancing system monitoring, optimizing the service desk, and strengthening incident management strategies. These findings are expected to serve as a foundation for the future development of more robust IT services.

This study aims to investigate and design a content marketing strategy to enhance user awareness of the referral feature in the Flip application. In addressing the lack of knowledge and utilization of the referral feature, the focus of this research is to understand how digital content marketing can strengthen customer awareness. The analysis explores the barriers to the adoption of this feature, including insufficient emphasis, inadequate information, and uncertainty about its benefits. Through a content marketing-focused approach, the proposed strategy includes optimizing the website and application to clearly illustrate the referral feature, leveraging email marketing campaigns to provide user guides, and utilizing social media and educational content to explain the concrete benefits of using the referral feature. Additionally, the approach includes data analysis to measure and evaluate the effectiveness of the implemented content strategy. It is expected that by applying a targeted and measurable content marketing strategy, the Flip application can overcome awareness challenges, increase user participation, and achieve significant growth in the adoption of the referral feature. This research contributes to a deeper understanding of the critical role content marketing plays in raising awareness and user engagement with key features in applications.

This study aims to observe and analyze the information technology infrastructure (ITI) utilized by the e-commerce company Tokopedia, in order to understand the role of ITI in supporting operations and business development in the digital era. The research method employed includes literature review and indirect observation through the analysis of secondary data sources, such as articles, company reports, and online publications related to Tokopedia's technology systems. The analysis focuses on hardware, software, networks, data, and human resources components within the ITI system. The results indicate that Tokopedia possesses a robust ITI, based on cloud computing and microservices architecture, which supports scalability, security, and operational efficiency. The implementation of technologies such as big data, artificial intelligence, and API integration are key to enhancing user experience and internal effectiveness. The study concludes that Tokopedia's success in delivering reliable e-commerce services largely depends on its adaptive and integrated IT infrastructure, as well as continuous investment in technology development and human capital. This research highlights the strategic importance of ITI in enhancing competitiveness and innovation in the e-commerce industry.

This study aims to examine the implementation of IT service management based on the ITIL framework at PT Paragon Technology and Innovation, a prominent Indonesian cosmetics company leveraging information technology across its operations. A case study method was employed to describe the actual application of IT infrastructure, the IT service lifecycle, and role distribution through the RACI model. The findings reveal that PT Paragon has adopted most ITIL processes, particularly in incident management, system testing, and cloud-based infrastructure monitoring. The RACI model has been effectively utilized to define responsibilities across departments. This study recommends enhancing information security systems and fully adopting the Continual Service Improvement (CSI) framework.

Information Technology Infrastructure (ITI) plays a pivotal role in supporting operational excellence and digital transformation in modern enterprises. PT Digital Nusantara, a technology-driven company, has implemented various IT systems to optimize productivity, operational efficiency, and business competitiveness. This study aims to evaluate the IT infrastructure of PT Digital Nusantara through direct observation of physical facilities, software systems, network architecture, data security protocols, and IT human resources management. The findings reveal that while the company has developed a solid technological foundation, it still faces strategic challenges such as scalability limitations, insufficient system integration across departments, and the need to comply with international information security standards. This article suggests reinforcing cloud-based infrastructure, developing a long-term IT roadmap, and improving IT personnel capabilities through structured digital competency training.

This study aims to analyze the implementation of information technology infrastructure at the Alfamart Sukarami Palembang branch, identify the main components of IT infrastructure used, and describe the challenges and obstacles faced in its management. Utilizing a descriptive qualitative research method, data were collected through direct observation at the store and secondary data analysis from various reliable sources. The results indicate that Alfamart has implemented an integrated IT infrastructure, including hardware (cash registers, barcode scanners), software (internal retail systems), communication networks (VPN, intranet), data centers, information security systems, and cloud computing technology. This infrastructure supports operational efficiency, transaction service speed, and data management accuracy. Based on SWOT analysis, Alfamart possesses strengths in providing facilities and customer-friendly services, but faces challenges such as intense competition and obstacles in goods distribution. This study recommends enhancing IT infrastructure, employee training, increased promotion, regular system evaluation, and maximizing the use of cloud technology to improve Alfamart’s competitiveness in the modern retail industry.

This study examines the implementation of Radio Frequency Identification (RFID) technology in enhancing the efficiency of library circulation services. RFID technology offers an innovative solution for managing collections and circulation services, such as borrowing and returning books, which were previously done manually. Utilizing radio waves, RFID enables automatic identification, tracking, and security of collections, thereby improving data accuracy and operational efficiency. This study employs a literature review approach to evaluate the benefits, challenges, and optimization strategies of RFID adoption in libraries. The findings indicate that RFID can reduce service time, enhance user experience, and support self-service features such as self-check and book-drop systems. However, challenges such as high implementation costs and the need for librarian training remain significant barriers. This study aims to provide guidance for libraries looking to adopt RFID technology to improve their services and maintain relevance in the digital era.

The COVID-19 pandemic has had a major impact on education, forcing learning to switch to an online system to prevent the spread of the virus. However, problems still persist, especially in elementary school mathematics education, students tend to think mathematics is difficult and not very interesting. This is due to the ineffective classroom learning approach, so that many students lose interest in learning mathematics. Therefore, innovative solutions are needed that can increase students' interest and understanding of mathematics learning, such as a gamification approach for students who prefer to play. The purpose of this study is to develop a mobile application that combines a gamification approach as a mathematics learning material for elementary school students. The system concept in this mobile application is that students can work on practice questions and see learning outcomes, choose an avatar on the edit profile, and access the discussion forum available in the application. This application is designed to create an interactive, fun and effective learning experience using the ADBO (Analyze, Design, Build, Operate) method which is systematic and directed to ensure that each stage of the process provides optimal results and according to user needs with the hope of overcoming complex problems faced by students. Through the modeling used in the preparation of this application, it is hoped that it will be in accordance with its purpose, namely to provide convenience to elementary school students, from grade 1 to grade 6, to become better at learning.

Additionally, the corporate sector is undergoing simultaneous changes due to the rapid growth of digital technology. The improvement of customer experience and operational efficiency were the main areas of these adjustments. The goal of this study is to ascertain the advantages of Augmented Reality as a novel technology in relation to marketing and consumer happiness. Approaches to the potential and difficulties of augmented reality were discovered using the literature review technique in a number of business domains, including property, MSMEs, and e-commerce. Augmented reality lowers return rates for specific items, boosts trust, and enhances real-time product presentation. Notwithstanding its advantages, AR has drawbacks that should be taken into account, such expensive technology and the reaction of new users. This body of literature offers a summary of.

The Website-Based Marriage Status Change Recommendation Letter Information System is developed to simplify the process of creating recommendation letters for couples who wish to change their marital status with the relevant authorities. The primary goal of this application is to streamline a complex process, accelerate letter issuance, and make it easier for users to submit applications online. Key features include personal data entry, uploading supporting documents, and verification by authorized officers. With a web-based platform, this application can be accessed anytime and anywhere, reducing the need to visit government offices in person. The system is expected to make the administrative process related to marriage status changes more efficient and transparent.

Student attendance in lectures plays a crucial role in academic achievement and the quality of learning. The Decision Tree algorithm is used to analyze student attendance patterns with a dataset containing 6,607 entries from Kaggle, comprising 20 related attributes. Using RapidMiner, the analysis process includes data splitting, model building, and performance evaluation. The model achieved 49.96% accuracy, with the best performance in the "Medium" class (50.40% precision, 98.12% recall) but showed weaknesses in the "High" and "Low" classes. These results highlight the importance of data-driven approaches to designing effective strategies, such as rescheduling or improving teaching methods, to enhance student participation.

Data mining, or data mining is the process of collecting and processing data to extract important information. The stages in the data mining process are useful for finding a particular pattern from a large amount of assessment data. This goal is to find out and form student data clusters based on grades so that they become a cluster, so that the results of student clusters can be a reference in improving student grades in the next learning process. The results of the evaluation and assessment of students are carried out by teaching staff or teachers in conducting assessments during the learning process. In the learning process there are 2 assessment categories, namely UTS and UAS student grades. The results of grouping student grade data using the K-Means clustering method show that based on the results of student data clusters in one semester, cluster 0 is obtained with 7 students, cluster 1 is 3. The results of testing using rapid miner show that there are 7 students who have grades with a good average and there are 3 students with a poor average grade.

Implementation of the Naive Bayes algorithm for the classification of recipients of the Certificate of Inability to Pay (SKTM) assistance in Pesanggrahan Village. The classification process is carried out manually and using the RapidMiner application to validate the results. Manual calculations are carried out by calculating the probability of each attribute, such as occupation, age, income, marital status, vehicle, and asset ownership. The calculation results show that the probability for the "eligible" category is 0.097254, while the "uneligible" category has a probability of zero, so that the resident is classified as eligible to receive assistance. And, the calculation results using RapidMiner show results that are consistent with manual calculations. The Naive Bayes algorithm successfully classifies data with high accuracy, ensuring that assistance is more targeted to residents who meet the criteria. The implementation of this method provides an effective solution to overcome the problem of inaccurate distribution of assistance, increasing efficiency and transparency in decision-making by village officials. Thus, the Naive Bayes algorithm can be used as a tool in the process of determining recipients of assistance that is more objective and data-based.

Manual guestbook systems frequently encounter challenges like inefficiency, data loss, and trouble interpreting recorded information. The goal of this research is to create a web-based guestbook information system in order to address these issues. This approach is intended to make capturing visitor data easier, lower the chance of mistakes, and enable users to receive notifications automatically. The requirements analysis, system design, implementation, and testing phases are all part of the waterfall paradigm of system development. This information system is intended to increase the effectiveness of guest books in associated institutions.

Determining classes for outstanding students based on exam results is a crucial step in promoting the improvement of learning quality. This study applied a data mining method using the K-Means Clustering algorithm to group students based on their exam results. The process includes collecting exam score data, preprocessing the data, and applying the K-Means algorithm to form several student groups based on their achievement levels. Through this algorithm, students are clustered into groups with similar characteristics, such as excellent, average, and those requiring more attention. The study's results indicate that the K-Means Clustering approach can provide an accurate representation of the distribution of student abilities, serving as a basis for designing more effective and equitable learning strategies. This implementation is expected to help schools identify students' potential more objectively and enhance overall educational quality.

Village-level public service processes frequently encounter obstacles like drawn-out manual processes, restricted information availability, and rigid service schedules. In order to increase the effectiveness of village administrative services, specifically in the creation of the Certificate of Inability (SKTM), this project intends to develop a web-based information system. The waterfall technique, which comprises phases for requirements analysis, system design, implementation, testing, and maintenance, is used to construct the system. The PHP CodeIgniter framework and MySQL database are among the technologies utilized. According to test results, this technology can improve transparency and service efficacy, speed up document processing, and make it easier for residents to access services online. It is anticipated that this method will be a creative way to facilitate the digitization of village government.

The results of research on the value of exports in Indonesia can be concluded that the architectural model can make predictions with 100% accuracy with a short training time. In addition, by looking at the results of testing on architecture, it can be seen that both the speed and the prediction results, it can be concluded that the value of exports in Indonesia is increasingly declining. For future research, research should use a different algorithm or the Backpropagation algorithm can be optimized with other algorithms, such as conjugate gradient and so on, that is, the research was first carried out using the backpropagation algorithm, then after knowing the results, calculations were carried out with the algorithm. other. After that, a comparison is made between the results of backpropagation with the results of other algorithms. Images or graphs of each algorithm used, or a graphic image of the comparison of the previous data with the data that has been generated using the algorithm.

Jeru Curah Village Office is a government organization located in Jeru Curah Village, Panji Subdistrict, Situbondo District. Making a certificate is one of the services offered by the Jeru Curah Village Government to its citizens. Previously, certificates were made manually, which required residents to come to the Village Office to fill in the required documents and be verified by the manager. However, this process often experienced problems, such as residents' ignorance of the letter-making process, the need to visit the Village Office frequently due to limited working hours and not meeting certain requirements, thus reducing the effectiveness and efficiency of this service. A web-based certificate service information system should be created to overcome these problems. This research includes interviews, literature observation, and observation as data collection methods. The Waterfall method which has five stages of communication, planning, modeling, building, and implementing is used to design this system. The system was built using PHP programming language and MySQL database.Testing with Google Chrome shows that this approach provides reliable results. A web-based service information system that can facilitate the creation of certificate letters by village office officers, save work time, and facilitate the lives of citizens as a consequence of this research. easily simply input the required information, and is available online through the website.

The application of artificial intelligence in management information systems provides effectiveness and efficiency in business processes. The integration of artificial intelligence and management information systems has changed the procedures for collecting data, analyzing data, and utilizing data. This research aims to explain the application of artificial intelligence in management information systems and identify ethical challenges and social impacts arising from the application of artificial intelligence in management information systems. The research method used in this research is the library study method, which is a research approach that involves collecting and analyzing information available in forms such as articles, reference books and other reference sources. The results of the research are that the application of artificial intelligence provides convenience by automating routine tasks thereby increasing user efficiency and effectiveness. However, apart from providing convenience, there are ethical challenges and social impacts that arise from the application of artificial intelligence in management information systems, such as threats to data security and increasingly narrow job opportunities.

Advancements in information technology have provided opportunities for village governments to enhance the quality of community services, particularly in managing complaints.. This research discusses a website-based community complaint information system implemented in Pagarbatu Village, Saronggi Sub-district, Sumenep District. The system is designed to replace the conventional method of utilizing a physical complaint box, which is considered less effective in handling community reports. Using the waterfall system development model, this research produced a web-based platform that allows people to submit complaints quickly and easily. The system also provides features for village officials to manage reports in a structured and transparent manner. The results show that the implementation of a web-based complaint information system can improve the efficiency and accountability of public services.

This study aims to design and develop a prototype IoT-based archive room monitoring system to enhance security and efficiency in archive management at the Village Office of Desa Pingit, Pringsurat District, Temanggung Regency. The system utilizes a UV Flame Detector for fire detection and a DHT11 sensor for monitoring temperature and humidity, with an ESP32 as the main controller connected via Wi-Fi. Integrated with the Telegram app, users can receive real-time notifications and updates on archive room conditions, facilitating remote monitoring. Testing results indicate that the system effectively detects fire presence and accurately provides temperature and humidity updates. This innovation is expected to aid in risk management and archive protection, offering a practical solution for modern archive room management.

In a company, assets are one of the most important working capital that needs to be managed well. This includes maximizing the value of its benefits as well as its existence so that it can be used optimally and the need for accurate recording of assets so that they can be used for good decision making. One type of asset/asset in a company is fixed assets/assets. Fixed assets/assets are one of the items on the balance sheet besides current assets/assets, long-term investments, reserve funds, and other assets/assets. PT. Thanks to Sejati Transindo (BESTINDO) Semarang as one of the document and goods delivery service companies, so far it still uses Ms. Excel for recording, calculating and reporting company fixed assets. Some of the weaknesses of this old system are: 1) the asset/asset management system is still simple, 2) fixed asset/asset data is not yet integrated and does not have a database, 3) there are inconsistencies and calculation errors, 4) the recording and reporting system is still takes quite a long time to process, 5) incomplete data will have an impact on inappropriate decision making, and 6) the absence of an integrated Accounting Information System (AIS) means that the management of fixed assets/assets in the company cannot be carried out properly because the data The condition, condition and value of the company's fixed assets/assets have not been recorded properly and accurately. This research designs an AIS for calculating and reporting depreciation of fixed assets using the straight line depreciation method using Visual Basic 6.0 and MySQL. The objectives of this research are: 1) to help calculate depreciation of fixed assets/assets owned by the company, 2) to provide information about the detailed condition of each asset/fixed asset owned by the company so as to help the company in managing fixed assets/assets, and 3) to help present precise and accurate reports for the purposes of the company's internal financial reports and taxation.

A construction cost budget is needed to calculate a building or project with the costs required for materials and wages, as well as other costs related to the implementation of the building or project. CV Company. TEGUH SEJAHTERA is a company operating in the construction services sector. CV. TEGUH SEJAHTERA has handled various projects ranging from irrigation construction, buildings, roads, bridges, docks, and other construction services.  Activity Based Budgeting is a budget preparation process that focuses on improving the system used by the organization in order to produce value for customers and focuses on processes that are integral to an organization, as well as being a process of planning and controlling activities expected by the organization to achieve the budget. that is cost-effective and meets workloads in line with organizational goals and strategies. Using the Activity Based Budgeting method can help solve problems in planning budget costs on CV. TEGUH PROSPEROUS Kendal.

Classification of facial skin types is important in facial care. This research aims to develop a facial skin type classification system using the Convolutional Neural Network (CNN) method with the ResNet-50 architecture. This research uses a dataset of 1,119 facial skin images with 3 classes: normal, dry, and oily. The research stages include: data pre-processing in the form of image resizing and normalization, model training using ResNet-50, and data testing. The research results show an accuracy of 0.9986, a loss of 0.0040, and a high F1-Score. However, unbalanced data distribution causes overfitting, so future research needs to use a more balanced dataset.