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This study examines the development and implementation of Your Favorite Shirt, a web-based platform designed to modernize thrift shop operations through digital transformation. Many thrift businesses in Indonesia still rely on manual processes or social media, leading to inefficiencies in inventory management, transaction tracking, and reporting. To address these challenges, a prototype-based development method was applied, involving requirement analysis, initial design, prototype construction, user testing, and iterative refinement. The system integrates key features such as multi-role login, product catalogues, transaction management, payment options, and order tracking. Evaluation through functional testing and the PIECES framework demonstrated positive results across performance, efficiency, control, and service dimensions, with an average system response time of under one second. User Acceptance Testing (UAT) with a Likert-scale questionnaire produced a mean score of 1.85, indicating strong user satisfaction. Beyond improving operational efficiency, the platform also supports sustainable fashion practices by curating quality secondhand products and reducing textile waste. However, risk assessment identified several areas requiring improvement, including the absence of a Business Continuity Plan, limited access control mechanisms, and lack of systematic documentation. Future development should focus on integrating social media APIs, implementing product recommendation systems, enhancing layered security, and deploying analytical dashboards to support data-driven decision-making.

This research focuses on developing an anomaly detection application for the internet network infrastructure at the Disaster Recovery Center (DRC) building of the Indonesian Attorney General's Training Agency through Security Information and Event Management (SIEM) implementation utilizing Python programming language. The primary objective of this study is to develop a comprehensive application that assists personnel, particularly network administrators at the DRC facility, in monitoring and analyzing internet network communication patterns and traffic flows. The research methodology involves creating a detection system designed to enhance network security capabilities and provide continuous monitoring functionality for network infrastructure protection. The developed application leverages SIEM technology to aggregate and process security-related information extracted from log data across network devices, applications, and hardware components. SIEM technology demonstrates the capability to handle substantial data volumes while correlating and analyzing security events from multiple heterogeneous sources within the network environment. The implementation of this application provides critical visibility into the internal network operations of the DRC facility, enabling proactive threat detection and response capabilities. When security incidents or anomalous activities are identified, the system generates comprehensive reports detailing network conditions and security status, which are subsequently escalated to management for appropriate remedial actions and strategic decision-making.

The advancement of information technology has shifted libraries from traditional physical services to digital platforms. One example is JAKLITERA, a web-based information system developed by the Provincial Library and Archives Office of DKI Jakarta. This study aims to evaluate the performance and service quality of JAKLITERA using the PIECES framework (Performance, Information, Economics, Control, Efficiency, Service). A mixed approach was applied, combining quantitative data from 100 user questionnaires with qualitative insights from observation and administrator interviews. Validity and reliability testing confirmed that all research instruments were appropriate for analysis. Results showed that the Economics dimension achieved the highest mean score (3.95), while Control received the lowest (3.39). Overall, the average score of 3.62 categorized JAKLITERA as “satisfactory,” yet highlighted the need for improvements in security mechanisms and clarity of information. These findings suggest that JAKLITERA functions effectively as a digital literacy platform but requires continuous evaluation, technical optimization, and user-centered enhancements to ensure sustainable service delivery.

This study examines the development and implementation of AcaraKita, a web- and mobile-based digital platform designed to modernize event organizer (EO) services in Indonesia. The system integrates three primary actors—Admin, Admin EO, and Customer—each with distinct yet complementary roles involving vendor management, booking, verification, status tracking, and service reviews. The development process applied the Waterfall model, consisting of requirement analysis, design, implementation, testing, deployment, and maintenance, combined with IT governance evaluation using the COBIT 5 framework to ensure alignment with business objectives. Testing results indicated that all core features operated effectively, with an average response time of less than one second and a user satisfaction score of 4.139 on the Likert scale. The IT governance risk analysis highlighted the need for improvements in documentation, security, and business continuity planning. While the system demonstrates a solid foundation, further enhancements are necessary, including social media API integration, vendor recommendation systems, and analytics dashboards to support decision-making. Overall, AcaraKita strengthens EO digitalization, improves operational efficiency, and fosters service transparency in a sustainable manner.

The Guest Reservation Information System is an important aspect of data management at SEI Hotel. The aim is to simplify and direct the acquisition of information related to guest reservation reports. In this research, the author discusses the design of a Guest Reservation Information System at SEI Hotel using the CodeIgniter framework. Programming is carried out using HTML, PHP, CSS, JSON, AJAX, and MySQL as database support. This research aims to design a Guest Reservation Information System at SEI Hotel using the CodeIgniter framework and using the programming languages HTML, PHP, CSS, JSON, AJAX, and MySQL as database support. Data collection was carried out through two methods, namely library studies which included library book literature and related scientific works, as well as field studies by conducting interviews and direct observation of research objects. The guest reservation process at SEI Hotel is carried out by an administrative staff in the financial sector, who is tasked with recording and inputting guest reservation report data. The research results show that the Guest Reservation Information System at SEI Hotel has followed procedures using the CodeIgniter framework and the programming languages HTML, PHP, CSS, JSON, AJAX, and MySQL as database support

The purpose of the research is to design an information system for car and motorcycle washing services that will be used by doormeer business users, which is expected to assist doormeer entrepreneurs in recording every transaction, queue, payroll management and can be used with various platforms both desktop and mobile. In the process of designing an information system for doormeer car and motorcycle washing services, we use the DevOps software design method. From the results of research and observations that have been made on Doorsmeer CV. XYZ, it can be concluded that from the results of the design of an information system for car and motorcycle washing services at Doorsmeer CV. XYZ web-based parties make it easy to inform washing services that are ready to use through the ordering system. With the website, customers can access and get information and order services quickly from their homes, and can choose the services they want to use according to the customer's plan, and Applications information system for car and motorcycle washing services at Doorsmeer CV. XYZ can handle and control and supervise service transaction data, create invoices that can avoid delays and in making contract reports for each transaction activity.

Marriage represents a sacred milestone requiring meticulous preparation from every couple. CV. Ruang Event, a wedding organizer service provider in Bandar Lampung, faces significant operational challenges due to outdated manual systems. Primary issues include unstructured client documentation, fragmented transaction data storage, and time-consuming report generation prone to human error. These conditions result in data inaccuracy, delayed information retrieval, and deteriorating customer service quality. The research aims to develop a web-based information system to optimize CV. Ruang Event's business processes using the Waterfall methodology. Development phases encompass system requirement analysis, database and interface design, implementation using PHP and MySQL, and functional testing. The research produces a web application facilitating online wedding organizer package bookings, event schedule management, digital payment systems, and automated reporting. Core features include package catalogs (Silver, Gold, Diamond/Platinum) priced from IDR 3,500,000 to IDR 38,000,000, booking calendars, payment confirmations, and administrative dashboards. Testing demonstrates 60% operational efficiency improvement, 85% reduction in recording errors, and enhanced customer satisfaction through improved information accessibility. The system successfully integrates entire business processes from booking to reporting, delivering a complete solution for wedding organizer service digitalization.

This study investigates student satisfaction toward Scout extracurricular activities at SDN Pondok Bambu 10 and 11 by applying the C4.5 algorithm within the CRISP-DM framework. Data were collected from 210 students through questionnaires and interviews to evaluate perceptions of program quality, mentor support, and social interaction. The C4.5 model achieved an accuracy rate of 99.52%, effectively identifying key determinants of student satisfaction. Results indicate that program quality, mentor support, and peer interaction are the most influential factors shaping students’ experiences. The decision tree produced interpretable rules that help educators understand satisfaction patterns and make data-driven improvements to program design. Compared with other methods such as SVM and Random Forest, C4.5 provides clearer interpretability while maintaining high predictive precision. The study further recommends integrating the model into a web-based information system to enable continuous monitoring and evaluation of extracurricular activities. These findings highlight the potential of data mining techniques to strengthen decision-making in education and to create a more adaptive, student-centered approach to extracurricular management.

The purpose of this research is to assist the Aceh Kesbangpol in the research licensing service process to computerize the current system so that it can analyze and assist database processing activities at an even better level of effectiveness and efficiency, so that it is expected to be able to; designing and building a web-based research permit service information system at the Aceh Kesbangpol Agency, implementing a web-based research permit service information system with an integrated SMS Gateway, and producing more effective and efficient research permit service reports. The method used in this design is the waterfall method. Based on the results of research on the research permit service information system at the Aceh Kesbangpol Agency based on the web-based integrated SMS Gateway that has been carried out by the author, several conclusions can be drawn, namely; This research was successful in creating a web-based integrated information system research permission service with SMS Gateway. SMS Gateways.

Market segmentation represents a critical challenge in local product marketing, particularly when addressing complex consumer behavior patterns and uncertain classification environments in today's digital economy. This research develops and validates a hybrid model integrating K-Means Clustering with Dempster-Shafer theory to enhance segmentation accuracy and reliability for local product markets. The K-Means algorithm groups consumers based on demographic, psychographic, and behavioral characteristics, while Dempster-Shafer theory quantifies uncertainty and provides confidence measures for segment assignments. Data collection involved comprehensive consumer surveys and transaction records from 2,847 participants across multiple local product categories over a 12-month period. The hybrid model achieved superior performance with 87.5% accuracy, 85.3% precision, 86.1% recall, and 85.7% F1-score, representing improvements of 5.4% over standard K-Means and 8.2% over hierarchical clustering methods. Four distinct market segments were identified: Young Urban Professionals (28%), Value-Conscious Families (35%), Traditional Loyalists (22%), and Digital Natives (15%), each exhibiting unique purchasing patterns, digital engagement levels, and price sensitivity characteristics. Cross-validation yielded a consistency score of 0.91 with segment stability demonstrated through 8.3% churn rate and conflict measure K = 0.12, indicating substantial agreement among evidence sources. The methodology successfully addresses uncertainty in consumer classification while providing actionable insights for targeted marketing strategies, pricing optimization, and customer retention programs. Local product marketers can implement this framework to develop evidence-based marketing approaches that accommodate both traditional and digital consumer preferences, enabling competitive positioning in increasingly complex market environments. The research establishes a scalable and practical solution for small to medium enterprises seeking sophisticated market analysis capabilities without requiring extensive computational infrastructure or technical expertise.

Guest reservation information system represents a digitalization solution for room booking processes at SEI Hotel Banda Aceh aimed at improving hotel operational efficiency. This research aims to design and implement a web-based reservation information system using CodeIgniter framework with HTML, PHP, CSS, JSON, AJAX technologies, and MySQL database. The research methodology employs a waterfall approach encompassing analysis, design, coding, testing, and maintenance phases. Data collection was conducted through literature study and field observation with direct interview techniques to hotel staff. Research results demonstrate that the developed system successfully addresses manual recording problems previously encountered by the hotel. The new system provides online room booking features, guest data management, room availability management, and automatic report generation. System advantages include increased reservation process speed, ease of data retrieval, information security through user authentication systems, and reduced recording error risks. Web-based system implementation enables unlimited time and location access, thereby enhancing service quality for prospective guests. The system has been tested and proven to significantly improve hotel reservation management effectiveness.

This research aims to design and develop a web-based payroll information system for diniyah teachers at the Education and Culture Office of Banda Aceh City. The problems faced by this institution are payroll processes that still use manual systems, resulting in delays in report provision, salary calculation errors, difficulties in data searching, and lack of transparency in payroll management. The research method used is descriptive method with qualitative approach through observation, interviews, and documentation study. System design uses structured approach with tools such as Data Flow Diagram (DFD), Entity Relationship Diagram (ERD), and flowchart. The research results show that the designed web-based payroll information system can overcome existing problems by providing features such as teacher data management, automatic salary calculation, report generation, and layered security system. This system has structured input design, output design in the form of comprehensive reports and recapitulations, efficient process design, control design that ensures data security, and cost design with total investment of Rp 57,548,000 per year. Implementation of this system can improve operational efficiency, calculation accuracy, management transparency, and user satisfaction. The developed system has flexible architecture and can be integrated with modern technology for further development. The research conclusion shows that web-based payroll information system provides real contribution in public service modernization and improvement of governance quality in education sector.

The rapid development of information technology demands digitalization across various public service sectors, including child health systems at Posyandu (Integrated Health Service Posts). Posyandu Kenanga Depok conducts monthly child health monitoring activities to ensure nutritional status and child development. However, the manual recording system for Child Health Cards (Kartu Sehat Balita/KSB) creates various operational problems. Posyandu cadres experience difficulties in data recording processes, information storage, and monthly report generation. Additionally, paper-based KSB held by parents are prone to loss and damage, resulting in poorly documented child development data. This research aims to develop a web-based KSB application to address these problems using the Rapid Application Development (RAD) methodology. The RAD method was chosen for its ability to accelerate system development processes by actively involving users in every development stage. The application was developed using PHP programming language, CodeIgniter 4 framework, MySQL database, and Visual Studio Code editor. The system is designed with three user levels: Posyandu cadres for managing child data and generating reports, parents for monitoring child development, and doctors for managing immunization and vitamin data. Development results demonstrate that the application successfully automates child data recording processes, facilitates monthly report generation, and enables parents to access child development information in real-time. The system also provides growth chart visualizations and immunization schedule reminders to support optimal child health monitoring.

This study examines public sentiment toward the dominance of QRIS and GPN compared to Mastercard and Visa, using data collected from Instagram comments. Employing the Knowledge Discovery in Databases (KDD) methodology and the Naïve Bayes Classifier, the research analyzed 820 comments retrieved through automated scraping and processed using text mining techniques such as case folding, tokenization, stopword removal, stemming, and TF-IDF transformation. The model achieved an accuracy of 84.27%, a precision of 86.09%, a recall of 94.7%, and an F1-score of 90.21%, indicating strong reliability in identifying sentiment polarity. The analysis revealed that 76.5% of the comments expressed positive sentiment, highlighting users’ appreciation of QRIS and GPN for their convenience, speed, and accessibility across both micro and macro-scale transactions. Negative comments, representing 23.5%, centered on concerns about connectivity, data security, and trust in financial governance. These findings suggest that while QRIS and GPN have been widely embraced as efficient digital payment solutions, there remains a need for improved infrastructure, user education, and data protection. The study demonstrates the effectiveness of the Naïve Bayes algorithm for large-scale sentiment analysis in multilingual online environments and provides empirical insights for policymakers to strengthen Indonesia’s digital payment ecosystem.

This research introduces a mobile-based system for real-time identification of ornamental rose varieties using the YOLOv8 deep learning algorithm. Motivated by the growing interest in ornamental plants during the COVID-19 pandemic and the high penetration of smartphone users in Indonesia, the study aims to create an efficient and accessible flower recognition tool. A dataset of 813 labeled rose images—red, white, yellow, orange, and pink—was collected from the Roboflow platform and processed using data augmentation techniques to improve model generalization. The YOLOv8 model was trained with 100 epochs, a batch size of 16, and the SGD optimizer, then converted to TensorFlow Lite for mobile deployment through the Flutter framework. Experimental results achieved a mean average precision (mAP50–95) of 0.581, with strong detection performance across most classes. The system successfully operated offline, delivering real-time classification accuracy despite dataset imbalance, particularly in the orange rose class. These findings demonstrate that YOLOv8 can be effectively adapted for mobile horticultural applications, offering practical benefits for flower sorting, crop management, and educational use. Future studies are recommended to expand dataset diversity, enhance environmental testing, and explore cloud-based integration for scalable deployment.

This study investigates public sentiment toward Joko Anwar’s 2025 film Pengepungan di Bukit Duri using computational text analysis on 583 Instagram comments. The research applies the Naïve Bayes algorithm combined with TF-IDF weighting to classify opinions into positive and negative sentiments. Data were collected through web scraping of public Instagram posts related to the film and processed through several stages including data cleaning, manual labeling, text preprocessing, and probabilistic classification. The results reveal that 72.9% of the comments express positive sentiment, while 27.1% are negative, indicating strong audience appreciation for the film’s narrative quality and social themes. The model achieved an accuracy of 83.67%, with a precision of 87.13%, recall of 91.04%, and F1-score of 89.04% for positive sentiment. These findings confirm that the Naïve Bayes approach is effective for analyzing short, informal Indonesian-language texts on social media. Practically, the results provide valuable insights for filmmakers and cultural analysts in understanding audience perceptions, managing digital reputation, and designing sentiment-based marketing strategies. Future research is recommended to employ hybrid models and multi-platform datasets to enhance sentiment detection, particularly for nuanced or negative expressions.

The purpose of this research is to design an information system application for CV. XYZ to assist in handling various administrations to reporting. In recording and processing transaction data, CV. XYZ already has its own system, such as recording customer names, ordering services and shipping still using paper and the system used in recording such as data on goods washed from customers is still conventional so it is still less efficient in terms of processing time. For this reason, a computerized system is needed that is able to present data quickly and precisely so that the smooth running of business operations can be further improved. In the application development process using the PXP (Personal Extreme Programming) model. From the results of research and observations that have been made on CV. XYZ, it can be concluded; From the results of making a web-based laundry information system, it becomes easy to manage CV laundry transaction reporting. XYZ to laundry reports quickly, and can handle and control and supervise laundry transaction data, create invoices that can avoid delays and in making laundry reports for every transaction activity.

The research aims at developing an online-based system with a focus that the feature also has an API (Application Programming Interface) service that can spread products on various e-commerce in Indonesia. In the process of developing software or motorcycle sales system applications, researchers use the Spiral method. The programming language used is PHP with MySQL as the database and uses the Vue.js framework. From the results of research and observations that have been made at PT. XYZ, it can be concluded that; From the results of the manufacture of motorcycle sales information system PT. XYZ web-based parties make it easy to inform PT. XYZ which is ready to be sold through the sales system. With the sales website, buyers can access and get information and motorcycle sales of PT. XYZ quickly from his home, and can choose the desired motorcycle to be purchased, and the motorcycle sales application at PT. XYZ can handle and control and supervise motorcycle sales transaction data, create sales invoices that can avoid delays and in making sales reports for each transaction activity, use APIs by disseminating using the Bukalapak and Tokopedia APIs and successfully synchronizing but still need testing and development that focuses on products on the Android platform.

This research examines the implementation of a decision support system for tourism destination selection using the web-based Fuzzy Tsukamoto method. With the growing tourism industry and tourists' need for accurate recommendations, a system capable of processing uncertain data and providing optimal results is required. The Fuzzy Tsukamoto method was chosen for its ability to handle linguistic and uncertain data through fuzzification, rule evaluation, and defuzzification processes. The web-based system developed enables easy and widespread user access. The research employs qualitative and quantitative approaches by analyzing important criteria in tourism destination selection such as accessibility, facilities, price, and attractions. The results demonstrate that the Fuzzy Tsukamoto implementation can provide tourism destination recommendations that match user preferences with good accuracy levels. The resulting web-based system proves to be user-friendly and can assist tourists in making appropriate decisions. This research contributes to information technology development in the tourism sector and can serve as a reference for developing similar systems in the future.