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This research aims to determine the effect of using biochar and guano fertilizer on the growth and resistance of pakcoy to drought stress and it is hoped that this research will add information for the development of pakcoy plant cultivation techniques that are more adaptive to dry land. The method used in this research was a 2 factorial completely randomized plan. The first factor is providing Biochar (B) which consists of 4 levels: B0= Control 0 tons/ha, B2= Biochar 5 tons/ha, B3= Biochar 10 tons/ha, B4= Biochar 15 tons/ha. The second factor is the application of Guano fertilizer (G) which consists of 4 levels: G0= control 0 tons/ha, G2= Guano 5 tons/ha, G3= Guano 10 tons/ha, G4= Guano 15 tons/ha. . Based on the level of treatment used, 16 combinations were obtained, BOGO, BOG2, BOG3, BOG4, B2GO, B2G2, B2G3, B2G4, B3GO, B3G2, B3G3, B3G4, B4GO, B4G2, B4G3, B4G4, which were repeated 3 times so that there were 48 experimental units. The parameters observed include plant height, number of leaves and stem diameter. The results of the research showed that there was an interaction between plant height at 7 dap, 14 dap, 21 dap, 28 dap, number of leaves at 7 dap, 14 dap, 21 dap and stem diameter at 14 dap and 28 dap. Treatment with biochar rates of 10 tons/ha, 15 tons/ha and guano fertilizer 10 tons/ha, 15 tons/ha gave good growth results in plant height, number of leaves and stem diameter. This combination of two treatments can increase the efficiency of good nutrient uptake for optimal vegetative plant growth and can increase the soil's capacity to retain air and nutrients, while guano fertilizer provides essential nutrients that support the development of pak choy plants.

Human Resource Management (HRM) is a very important part of an organization. In the digital era, HRM can be done more efficiently through mobile applications that allow access to employee data, HRM processes, or online attendance. However, the ability of an HRM mobile application to succeed depends on the usability factor or ease of use by users.  Talenta is one of Mekari's business platforms that provides a complete solution for all Human Resources (HR) and payroll management issues. Talenta is an application that will be used for Usability Testing using Cognitive Walkthrough. The initial stage in starting Usability Testing on the mobile-based Talenta application with the Cognitive Walkthrough method begins with conducting a literature study, learning the system or application, then making scenario questions based on the system. Then, respondents will be asked to complete the scenario questions. The scenario data collected includes; data on success in completing the scenario, data on errors in completing the scenario, and data on the time required to complete the scenario. Finally, the interview stage will be continued with the respondents on the scenarios that have been carried out. The scenario and interview data will be analyzed to calculate the effectiveness and efficiency aspects of the Talenta application. After the analysis stage, users will be given a System Usability Scale (SUS) questionnaire to be answered using Google Form using a Likert scale. The results of the questionnaire will be analyzed using SUS calculations, and then suggestions and conclusions will be given in the aspect of user learning ability. After usability testing of Talenta mobile application using Cognitive Walkthrough and SUS methods, the following results were obtained: 78% effectiveness; 0.10 seconds efficiency; and 67 learning ability level. Talenta has met the usability criteria for mobile applications in general, including effectiveness and efficiency in using the ISO 9241-11 model. However, there are still shortcomings in the user learnability level. To improve the usability of this application, it is recommended to change the layout, menu, add features, as well as clarify some display features.

TK Aisyiyah Bustanul Athfal 1 Bengkulu is an early childhood education institution that still manages administrative and academic processes manually, such as recording student data, admitting new learners, and assessing learning outcomes. This has the potential to cause recording errors, data loss, and delays in information processing. This research aims to design a web-based school information system that can help manage school data and information in a computerized manner. The system includes student management, payment, assessment, and school profile modules. The methods used in designing this system include observation, interview, and literature study. System requirements analysis was conducted to identify the needs of users, both school managers and the community. The system was developed using Codeigniter 3 framework and MySQL database. It is expected that this system can improve the efficiency and accuracy of data management and accelerate the delivery of real-time information.

This study aims to optimize the implementation of the K-Nearest Neighbors (K-NN) algorithm for medical image classification by focusing on selecting the optimal KKK parameter and applying dimensionality reduction techniques to improve accuracy and efficiency. The data used was sourced from public medical image repositories such as The Cancer Imaging Archive (TCIA) and Medical Image Analysis datasets, covering various diseases, including brain tumors, lung cancer, and kidney lesions. The research process involves data collection, data preprocessing, dimensionality reduction using Principal Component Analysis (PCA), applying the K-NN algorithm with Euclidean, Minkowski, and Cosine distance metrics, and performance evaluation using accuracy, precision, recall, and F1-score. Experimental results demonstrate that K=5with the Euclidean distance metric provides the best performance, achieving an accuracy of 90%. Additionally, PCA effectively reduces computational time by 30% without significantly compromising accuracy. This study proves that K-NN is an effective method for medical image classification. However, further research is needed to integrate K-NN with deep learning models to enhance performance and feature extraction capabilities.

Regional House of Representatives (DPRD) of Magetan Regency to enhance the efficiency and effectiveness of visit data management. The system was developed using the Rapid Application Development (RAD) method, utilizing the Laravel framework and MySQL database. The implementation of this system is expected to replace the time-consuming and inefficient manual processes, such as guest book entry and data retrieval. The web-based system allows guests to digitally input their institutional origin, purpose, and objectives of their visit, which are then managed by the administrator for reporting and data analysis.The system development process began with needs analysis, design using UML diagrams, and implementation through web-based technology. System testing was conducted using the Black Box Testing method to ensure all system functions operate as specified. The research findings demonstrate that the system effectively reduces data processing time, increases accuracy, and facilitates the management of visit information. Thus, this information system not only provides practical solutions for DPRD Magetan but also serves as a model for similar developments in other institutions. This study offers significant theoretical and practical contributions to the advancement of information technology in the governmental sector

This research aims to analyze the implementation of Accurate System software in supporting the efficiency and effectiveness of the purchasing cycle in manufacturing companies. The purchasing cycle is one of the critical processes that affects the smoothness of operations and cost management of the company. In this study, an analysis was conducted on the implementation of the Accurate System software. The research methods used included data collection through interviews, observations, and documentation studies at manufacturing companies. The research results show that the Accurate System is capable of increasing the speed of the purchasing process, reducing the risk of recording errors, and providing accurate and real-time reports for decision-making. However, there are several challenges in its implementation, such as the need for user training and adjustments to the specific needs of the company. These findings contribute to manufacturing companies in optimizing the management of the purchasing cycle through information technology.

Electronic Catalog Version 6 marks a significant advancement in Indonesia's government procurement system through comprehensive feature enhancements. This updated platform introduces key innovations, including a centralized product category management system that ensures standardization across all procurement processes. The system features enhanced notification capabilities, streamlined order management, and a transparent payment integration framework that facilitates seamless transactions. A notable addition is the integrated spending monitoring dashboard, which enables real-time tracking of procurement activities and supports efficient product management. The platform's successful implementation hinges on thorough stakeholder preparation and systematic user training programs. These improvements are specifically designed to optimize procurement efficiency and elevate public service quality, with a particular focus on strengthening the healthcare sector's procurement processes.

The implementation of this community service program aims to modernize the production equipment used by a housewife business group and enhance the branding of their enterprise. This initiative is carried out to improve production efficiency, enhance the neatness of product packaging, and meet the requirements for entry into major retail stores. This effort includes procuring new production equipment, such as digital scales and an electric sealer, as well as applying for a P-IRT (Household Industry Food Production) permit. The results indicate that product weights are now standardized across all packaging, and the packaging appearance has improved significantly. Additionally, production time has increased, as multiple people can now participate in the packaging process using the electric sealer, unlike the previous situation where only one person could operate the packaging process.

Internet of Things (IoT) technology plays an important role in Smart City development by increasing efficiency in the transportation, energy, waste management and air quality sectors. IoT enables dynamic regulation of traffic flow, more efficient energy management, and real-time monitoring of waste and air quality. However, challenges such as inadequate infrastructure, data security issues, and limited human resources need to be overcome to maximize IoT adoption. By improving infrastructure, interoperability standards and data security policies, the potential of IoT in Smart Cities can be further optimized.

Technological innovation always follows user needs and current trends that make it easier for users. One of the applications is in the form of an automatic task receiving and safety device. Automatic task receiving and safety device is an innovative solution that utilizes GM66 sensor, ESP32 module, ESP32 Cam, solenoid, limit switch and Automatic Transfer Switch (ATS). The system allows users to collect tasks or documents through an easily accessible Telegram Bot integration. This tool uses a GM66 sensor that functions to read Quick Response (QR) on the learning module, while the ESP32 functions as the central brain managing and transmitting data through a Wi-Fi network. This tool is also equipped with image capture capabilities using the ESP32 Cam Module. In the security section, this tool is equipped with a solenoid that functions as a mechanical lock on the door, while the switch functions to detect the state of the door on the tool and to ensure smooth operation by switching automatically between the main and backup electrical power sources this tool is equipped with an Automatic Transfer Switch (ATS). This innovation is to improve efficiency, security, and accessibility in the collection of tasks or documents. With IoT, users can easily manage their tasks in real-time with a 90% success rate.

The rapid development of information technology and telecommunications has driven companies and MSMEs to adopt desktop, mobile, and web-based applications to enhance operational performance. PT HPS Painan Padang, previously relying on manual ticket bookings, faced challenges in efficiency and susceptibility to brokering practices. To address this, a web-based travel ticket booking application was developed, enabling customers to book tickets online more practically, quickly, and conveniently, anytime and anywhere. The integration of Natural Language Processing (NLP) technology in the form of a chatbot further enhances service efficiency and responsiveness. This feature provides real-time information on departure schedules, seat selection, and payment transactions while also supporting sentiment analysis and swift responses to customer feedback, ultimately improving service quality. The application, built using PHP, MySQL, and CodeIgniter with a Prototype development approach, adapts to changing market demands. Testing via GTmetrix on the https://desistravel.xyz/backend page demonstrated excellent performance with an 88% Performance score, 95% Structure score, and optimal Web Vitals metrics, indicating a fast, responsive, and stable platform. The final product is a user-friendly web-based ticket booking application supported by an intelligent chatbot, offering a seamless user experience, enhancing customer satisfaction, and streamlining the travel booking process efficiently.

Product search is one of the important features in e-commerce applications to provide an optimal user experience. This research discusses the implementation of regular expressions as a method to improve the efficiency of product search. With this approach, the system can match string patterns more flexibly, even when there are variations in user input, such as misspellings or inconsistent formatting. The results show that the application of regular expressions can reduce search time by 30% and improve keyword matching accuracy by 95% compared to traditional search methods. This research contributes to the development of more advanced search systems for e-commerce applications.

The rapid development of information technology has provided great opportunities for the service sector to improve efficiency and convenience, including in vehicle washing services. This research aims to develop a web-based system using the Laravel framework, which is designed to simplify the online ordering process and overcome queuing problems. The system features user authentication, location-based booking, payment gateway integration for real-time transactions, and an interactive dashboard for service providers. The case study was conducted at Carenmore, a vehicle wash service in Krian. The implementation results show that the system is able to reduce customer waiting time, provide a better user experience, and improve service efficiency. Further development is recommended to add a variety of features, improve interface design, and increase the system's ability to handle larger user loads.

This final project presents the design and development of a digital microscope based on Raspberry Pi 4 integrated with Internet of Things (IoT) technology. The aim of this project is to create a digital microscope that allows real-time observation and data sharing over the internet, enhancing accessibility for researchers and students, especially in remote areas. The digital microscope utilizes a high-quality camera (Sony IMX307) for capturing images, which are processed by the Raspberry Pi 4 and displayed on a touchscreen LCD. This project not only facilitates remote learning and collaborative research but also aims to improve the efficiency of scientific observations. The methodology includes the design, assembly, and testing of the microscope, with a focus on functionality and user experience. The results indicate that the digital microscope successfully meets the objectives, providing an affordable and innovative solution for educational and research purposes. Further development and testing will enhance its capabilities, making it more suitable for diverse scientific applications.

An information system is used to manage and present data so that it benefits an organization. Effective financial management is crucial for government agencies, including the Medan City Transportation Department, to ensure transparency and accuracy in financial records. However, the manual method still used has weaknesses, such as recording errors and reporting delays. Therefore, this study aims to design and develop a web-based financial information system to address these issues.The system features transaction recording, financial reporting, real-time data processing, and more efficient budget management. This study uses the waterfall software development approach, which includes analysis, design, implementation, testing, and maintenance. The results show that this system can improve work efficiency, reduce errors in financial management, and support data-driven decision-making.  

Improving efficiency and quality in ironing and folding clothes is a primary concern in modern households. This research aims to develop a prototype of an automatic ironing and folding device that enhances productivity while reducing processing time compared to manual methods. Testing was conducted on three types of fabric materials: polyester, cotton, and linen, by comparing time and folding quality between the automatic and manual methods. The results showed that the automatic prototype completed the process in an average of 5 minutes for all fabric types, compared to 8 minutes with the manual method. In terms of folding quality, the automatic prototype demonstrated more consistent results with a high level of neatness across all fabric types. The conclusion of this study is that using the automatic ironing and folding prototype provides significant time efficiency and improves quality compared to the manual method. These findings contribute to the development of more effective and efficient household technologies.  

Management of incoming and outgoing mail has an important role in the efficiency and effectiveness of the administration of the Medan City National Land Agency (BPN). This research aims to analyze the process of managing incoming and outgoing mail and identify the challenges faced in this process. Data collection methods were carried out through direct observation, interviews and documentation studies. The research results show that the management of incoming and outgoing mail at BPN Medan City has improved through the implementation of a mail management information system. However, there ar e still several obstacles such as the length of time the process of entering letters is made and letters being lost. This research recommends improving procedures, increasing internal coordination, and investing in information technology infrastructure to increase the efficiency and effectiveness of managing incoming and outgoing mail at BPN Medan City.

As 6G networks promise unprecedented speeds and ultra-low latency, AI-based resource allocation plays a crucial role in optimizing network performance. This study explores AI-driven techniques for spectrum management, energy efficiency, and real-time data processing. By leveraging machine learning and deep learning models, AI enhances network adaptability, reduces congestion, and improves overall efficiency. The proposed approaches enable intelligent decision-making, dynamic resource allocation, and predictive analytics to meet the growing demands of future wireless communication. The findings highlight the potential of AI in revolutionizing 6G networks, ensuring seamless connectivity, and maximizing network capacity while minimizing power consumption. These advancements contribute to the development of more sustainable and intelligent telecommunication infrastructures.  

This study aims to address the challenges and propose solutions for the Optimization of Blockchain-Based Cybersecurity Systems to Enhance Resilience Against Ransomware Attacks using a Systematic Literature Review (SLR) approach. Blockchain is increasingly recognized as a transformative technology in cybersecurity due to its decentralized structure, transparency, and robustness in securing data. Despite these advantages, its widespread adoption is hindered by several challenges, including scalability, interoperability, high energy consumption, and limited access to representative ransomware datasets. This research highlights that integrating blockchain with advanced technologies such as data analytics, machine learning, and Explainable AI (XAI) can significantly enhance its effectiveness in combating ransomware.The findings reveal that Graph Convolutional Neural Networks (GCN) enable real-time detection of ransomware patterns in network traffic with an accuracy of up to 95%. Furthermore, Layer-2 solutions like the Lightning Network and sharding effectively alleviate the load on main blockchains, thereby increasing transaction throughput. Efficient consensus mechanisms, including Proof of Stake (PoS) and Delegated Proof of Stake (DPoS), address energy consumption issues, making blockchain more adaptable to IoT and resource-constrained environments. These approaches have proven successful in enabling early detection, mitigation, and prevention of ransomware in IoT systems, cloud infrastructures, and smart grid networks. The implications of this study underscore the potential of blockchain as a critical component of proactive and adaptive cybersecurity systems. However, overcoming existing challenges requires further development of hybrid frameworks that integrate blockchain with data analytics and machine learning technologies. In addition, efforts should focus on standardizing global security protocols to enhance interoperability and creating robust, diverse ransomware datasets to support more accurate detection systems. Future research should also explore methods to minimize latency and improve blockchain efficiency in real-time cybersecurity applications.

The application of algorithms in the mentoring activity scheduling system is an innovative solution to overcome the complexity of time and resource management. This study aims to develop a mentoring activity scheduling system for Reading and Writing the Qur'an (BTQ) using the particle swarm optimization (PSO) algorithm. The PSO algorithm was chosen because of its ability to find optimal solutions efficiently through a particle population approach. This system is designed to meet the schedule preferences of students and supervisors, taking into account the limited time available and the interrelationships between schedules. This study makes a significant contribution to improving the efficiency of BTQ mentoring activity scheduling, as well as demonstrating the potential of PSO in solving other scheduling problems.