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The Personnel Information System at the Jayapura City Transportation Office aims to increase efficiency and effectiveness in managing personnel data. In today's digital era, manual data management has limitations that affect the speed and accuracy of information. Therefore, a computerized information system is necessary for better management of employee data. This study aims to analyze the implementation of the personnel information system at the Jayapura City Transportation Office, as well as evaluate its impact on personnel administration performance. The methods used in this study include direct observation of the system in use, interviews with staff and system managers, and analysis of the system's effectiveness in improving data management. The system was evaluated in terms of its ability to streamline administrative tasks, facilitate easy access to personnel data, and enhance overall efficiency in managing personnel information. The results of the study indicate that the system has successfully optimized employee data management, improved administrative efficiency, and made access to information faster and more accurate. However, some obstacles were identified, such as the need for further training for staff to use the system optimally and occasional technical issues with system integration. Despite these challenges, the personnel information system has proven to be an essential tool for improving the overall performance of the personnel administration at the Jayapura City Transportation Office. The study concludes with recommendations for further system enhancements and the importance of ongoing staff training to ensure the system's continued success.

Along with the development of the industrial sector, companies are competing to create quality and affordable products. To support production, automation tools have emerged that help the production process so that it is faster. One of the machines that is widely used by large factories is a 3-phase induction motor. 3-phase induction motors are often used in driving equipment in industry because they have a simple construction, are relatively cheap, lightweight, have high efficiency, and are easy to maintain. This study utilizes the A3114 hall effect sensor device, PZEM-PP4T Sensor, 20x4 LCD, ESP32 module, Relay, Mitsubishi D700, MCP 4725 Sensor. The tests carried out showed that the performance of the sensor for measuring speed, voltage, and current on 3-phase motors has a high level of accuracy. Testing of motor speed shows a difference in speed value (Rpm) between the hall effect sensor and the tachometer, with an average accuracy percentage of 4,12%, indicating that the hall effect sensor has a fairly good level of accuracy. For voltage measurement, the Pzem sensor compared to the Multitester produces an average accuracy percentage of 0,90%, indicating that the pzem sensor is very reliable. Meanwhile, current testing shows a difference in value between the pzem sensor and the multitester with an average accuracy percentage of 0,98%, indicating a fairly high level of accuracy. Overall, this system can be relied on for measuring operational parameters of 3-phase motors because it has consistent and good accuracy. With this research, the 3-phase induction motor monitoring system which was originally done manually has changed to automatic and has a fairly high level of work efficiency.

This research was designed using Unified Modeling Language (UML) as a tool for visualizing system requirements. The system designed is expected to improve efficiency, accuracy and speed of service, thereby providing a better experience for customers and making it easier for Bank Sumut officers to manage registration data. The system development method used is waterfall. The research results show that the designed information system can automate various manual processes such as collecting prospective customer data, document validation, and managing account data. It is hoped that this management information system can be used to provide an overview of the applications that will be created to increase the Bank's operational productivity and minimize the potential for administrative errors, as well as supporting the digital transformation of Bank North Sumatra in facing competition in the banking sector.

This study examines the effectiveness and efficiency of ship agency services in handling the arrival and departure processes manually at the port. Ship agency services play a crucial role in ensuring the smooth operation of ports, particularly in terms of administration and coordination among various parties involved. The continued use of manual methods presents significant challenges, including human errors, delays in processes, and a lack of transparency in the flow of information. The research adopts a qualitative approach through in-depth interviews and observations, as well as documentation with ship agents, port officers, and other relevant parties. The findings indicate that although manual methods are still reliable in some aspects, there is an urgent need for modernization and digitalization of the ship agency system. The study also reveals that the use of digital technology could enhance data accuracy, speed up processes, and improve transparency and communication among stakeholders. In this context, the research explores various technological solutions that could be implemented, such as mobile applications and integrated port management systems. It is hoped that this study will provide new insights for policymakers and stakeholders in the port sector regarding the importance of digital transformation in ship agency services. The implications of this research include improved operational efficiency, reduced operational costs, and increased customer satisfaction through faster and more accurate services.

This study aims to classify the level of satisfaction of Dasawisma cadres with the Carik application in West Semper Village by utilizing the Naive Bayes method. Data was obtained through questionnaires, which were compiled based on three main aspects: ease of use, speed of access, and the usefulness of applications in supporting cadre tasks. After the data is collected, a pre-processing and labeling process is carried out, where the level of satisfaction of respondents is categorized into two classes, namely "satisfied" and "dissatisfied". The Naive Bayes algorithm is applied to predict satisfaction classes based on questionnaire answers. The results of the analysis show that the Naive Bayes method is able to perform classification with sufficient accuracy, so that it can be used as an evaluation tool and decision support in the development of the carik application. This method can also help the management understand user perceptions and improve the system based on objective and routine data in line with the needs of field cadres.

Managing employee payroll is a crucial aspect in agency administration, including at the Kimi Nabire Community Health Center. The manual payroll system that is still used often causes problems such as calculation errors, late payments and lack of transparency. This research aims to design and develop a website-based payroll application to increase efficiency, accuracy and transparency in payroll management. This application was developed using the waterfall method with PHP and MySQL-based technology, and is designed to be accessed by administration and branch heads. The main features provided include managing employee data, automatic salary calculations, creating digital pay slips, and real-time payroll reports. Test results show that this application is able to reduce calculation errors and speed up the pay slip distribution process. With this application, it is hoped that the Kimi Nabire Community Health Center can manage payroll more efficiently and accurately, as well as becoming a reference for other agencies facing similar problems. This research contributes to the development of a website-based payroll management information system, both academically and practically.

Financial accountability reports are one of the important elements in the implementation of the budget in government agencies, including the South Sumatra Provincial Education Office. However, the process of preparing financial statements is often hampered by challenges in terms of data efficiency and accuracy. This study aims to design an effective management system in the preparation of financial accountability reports at the South Sumatra Provincial Education Office. This system is expected to minimize human error, speed up the process of preparing reports, and ensure openness in budget management. Using an information technology-based approach, this research develops an integrated management system application, which includes the process of data input, verification, and transparent financial reporting. The results of this study show that the proposed system is able to increase efficiency and accuracy in the preparation of financial accountability reports.

This research aims to analyze the level of student satisfaction with academic administration services at the Catholic Religious Education Study Program (PKK) STPKat Santo Fransiskus Assisi Semarang in the 2024/2025 Academic Year. Effective and efficient academic administration services are an important factor in supporting the smooth teaching and learning process and improving the overall quality of education. The research method used is descriptive quantitative with a survey approach. Data was collected through a questionnaire distributed to active students of the PKK Study Program. The variables studied include speed of service, accuracy, attitude of officers, ease of procedures, and supporting facilities. The research results show that in general students feel quite satisfied with the academic administration services provided. Aspects of officer attitude and correct information received the highest satisfaction scores, while aspects of ease of procedures and supporting facilities still require improvement. It is hoped that these findings can provide input for the management of the PKK Study Program to improve the quality of academic administration services, so as to create a more conducive academic environment and support student achievement.

Service quality is a service that has a characteristic quality. Characteristics of good quality include ease, speed, accuracy, reliability and empathy from service officers in providing and delivering services to someone who has a strong impression that can be directly felt by customers at that time and at that time. This study uses a quantitative method. It can be concluded that the service quality variable (X) has a significant influence on applicant satisfaction (Y) at the Bima Immigration Office. The sig value (0.000) <0.05 is seen, which means that the quality of Passport services has an influence on the satisfaction of applicants at the Class II Non-TPI Bima Immigration Office.This study uses a quantitative method. The method used to obtain data and information in this study is by using a survey method using a questionnaire. The survey method used is by distributing questionnaires to applicants at the Class II Non-TPI Bima Immigration Office. The data analysis techniques used are validity test, reliability test, classical assumption test, significance test (t-test), and coefficient of determination test (R2 test).The discussion of the research aims to provide results and an overview of this research. According to the results of data analysis with simple linear regression, it shows that the variable X or service quality has an influence on the variable Y or passport applicant satisfaction with a significant value of service quality (X) on passport applicant satisfaction (Y) of 0.000 <0.05. In this study, the variable Service Quality (X1) has an influence on applicant satisfaction (Y), because if the quality of service (X) provided by the officer to the applicant is bad, it will cause dissatisfaction of passport user applicants, thereby reducing the applicant's loyalty in using services at Bima Immigration. And the value of the coefficient of determination or R square is 0.768, meaning that the service quality variable contributes 0.768 or 76.8% to passport applicant satisfaction.

This study aims to optimize the architecture of Artificial Neural Networks (ANN) for rainfall prediction using meteorological data from Indonesia, which is known for its complex and highly variable climate patterns. Climatic variables such as temperature, humidity, air pressure, wind speed, and historical rainfall records serve as the main input features to evaluate the performance of various network configurations. Optimization is carried out by determining the appropriate number of neurons, hidden layers, activation functions, and training algorithms to enhance prediction accuracy. Model evaluation employs indicators such as Mean Absolute Error (MAE) and Root Mean Square Error (RMSE) to ensure output stability. The findings indicate that a multilayer architecture combined with optimized parameters significantly improves the network’s ability to capture non-linear patterns in Indonesia’s tropical rainfall data. The optimized model produces more stable and accurate predictions compared to standard configurations. These results highlight the importance of ANN architecture optimization in supporting early warning systems, agricultural planning, water resource management, and hydrometeorological disaster mitigation across Indonesia.

This research aims to understand the impact of the integration between artificial intelligence (AI) technologies and cyber security on administrative decisions in three aspects: (1) decision-making speed, (2) decision accuracy, and (3) decision effectiveness. A sample of 150 employees was drawn, and a survey was used to gather the required information. Data analysis was conducted using the statistical program SPSS 25, employing various statistical methods such as mean, standard deviation, correlation coefficient, and simple linear regression. The research concluded with several findings, the most important being: The integration of AI technologies and cyber security leads to improved speed, accuracy, and effectiveness of administrative decisions, The researcher recommended that institutions adopt AI technologies to enhance their cyber security systems, particularly in areas like machine learning and big data analysis.

The rapid development of multimedia technology has significantly advanced 3D animation techniques, enabling the production of high-quality visual content across industries such as film, gaming, architecture, and product visualization. Rendering, as the final stage of the 3D production pipeline, plays a crucial role in determining both visual realism and production efficiency. This study compares the performance of three rendering engines—Eevee, Cycles, and Radeon ProRender—by evaluating rendering speed, visual quality, and memory efficiency in Blender. The objective is to provide practical insights for designers and digital content creators in selecting the most suitable rendering engine based on project requirements. In this research, three identical 3D scenes were rendered using each of the three rendering engines under controlled experimental conditions. The comparison was conducted based on several parameters, including rendering time, output file size, shadow accuracy, lighting effects, and overall visual realism. Quantitative measurements were used to evaluate render speed and memory consumption, while qualitative analysis assessed differences in shadow detail, global illumination behavior, reflection accuracy, and material realism. The results indicate that Eevee outperforms the other engines in terms of rendering speed, making it highly suitable for real-time applications and projects requiring fast previews. Cycles produces the highest level of visual realism due to its physically based path-tracing algorithm, although it requires longer rendering time and higher computational resources. Meanwhile, Radeon ProRender demonstrates competitive performance, particularly in shadow quality and lighting effects, offering a balanced alternative between realism and efficiency. Based on the findings, Blender remains a flexible and effective platform. The choice of rendering engine should depend on whether speed, graphic quality, or memory optimization is prioritized.

This study aims to classify the level of satisfaction of Dasawisma cadres with the Carik application in West Semper Village by utilizing the Naive Bayes method. Data was obtained through questionnaires, which were compiled based on three main aspects: ease of use, speed of access, and the usefulness of applications in supporting cadre tasks. After the data is collected, a pre-processing and labeling process is carried out, where the level of satisfaction of respondents is categorized into two classes, namely "satisfied" and "dissatisfied". The Naive Bayes algorithm is applied to predict satisfaction classes based on questionnaire answers. The results of the analysis show that the Naive Bayes method is able to perform classification with sufficient accuracy, so that it can be used as an evaluation tool and decision support in the development of the carik application. This method can also help the management understand user perceptions and improve the system based on objective and routine data in line with the needs of field cadres

The Electronic Medical Record Information System (RME) is an information technology solution used to manage patient medical record data digitally, replacing manual recording systems that are prone to errors and data loss. This report discusses the design and implementation of the Electronic Medical Record Information System (RME) at the Community Health Center, which aims to increase efficiency, accuracy and security in managing patient medical records. This system includes recording medical data, treatment history, diagnosis, drug prescriptions, as well as integration with other health service systems. With RME, the medical service process at the Community Health Center is expected to be faster, more transparent and organized. This research uses a web-based system development method with database-based programming, which allows medical record data to be managed centrally and easily accessed by authorized medical personnel. The results of implementing this system show a significant increase in speed of service as well as a reduction in administrative and medical errors.  

The Personnel Management Information System (SIMPEG) is a technology-based application used to manage personnel data in a centralized, efficient, and accurate manner. SIMPEG enables various administrative processes, such as payroll, promotions, and employee data management, to be automated, which were previously done manually and prone to errors. This study discusses the concept of SIMPEG, its implementation stages, and its benefits in improving efficiency, data accuracy, service transparency, quick decision-making, and centralized resource management. The research findings show that SIMPEG reduces manual workload, enhances the accuracy and speed of access to employee data, and supports better and more timely decision-making. In addition, SIMPEG increases transparency in administrative processes, reduces operational costs, and strengthens public trust in government institutions. However, the successful implementation of SIMPEG depends on the readiness of technological infrastructure and user training. Therefore, infrastructure development and training are crucial to optimizing SIMPEG use throughout Indonesia.

Microcontrollers play a vital role in managing patient data systems within hospital environments, including at Kisaran General Hospital. A microcontroller-based data management system facilitates the automation of patient data recording and processing in real time, enhancing both accuracy and efficiency. This study aims to analyze the performance of microcontrollers in a patient data system by evaluating parameters such as processing speed, data accuracy, and system stability. The implementation involves an Arduino Uno microcontroller integrated with sensors and data processing software. Experimental results demonstrate the system's ability to process patient data quickly and accurately, contributing to the operational efficiency of the hospital. These findings highlight the potential of microcontroller technology as a modern solution for patient data management in healthcare settings.

Microcontroller-based information systems play a crucial role in enhancing the efficiency and effectiveness of various automation and monitoring applications. However, many manual processes across different fields require time and are prone to errors. This study aims to develop a microcontroller-based information system to automate real-time data collection and monitoring in various applications, such as industry, environment, and smart homes. The method used involved the development of a prototype system designed to integrate sensors and microcontrollers in data processing and automated decision-making. The results showed that this system significantly improved the efficiency, accuracy, and speed of data processing while minimizing human intervention. In conclusion, microcontroller-based information systems offer innovative solutions that can be widely applied across various fields to enhance performance and service quality.

Financial information systems play a crucial role in managing and processing company financial data. However, manual data collection and processing often require time and are prone to errors. This study aims to optimize financial information systems by utilizing microcontrollers in the automation of data collection and processing. The method used involved the development of a microcontroller-based prototype system to automate real-time financial data monitoring and reporting. The results showed that the use of microcontrollers significantly improved the efficiency and accuracy of financial data processing, while reducing the time needed for reporting. In conclusion, a microcontroller-based system can be an effective solution to enhance the quality and speed of financial data processing in companies.

The Cuckoo Search Algorithm (CSA), while effective in solving complex optimization problems, faces limitations in random population initialization and reliance on fixed parameters. Random initialization of the population often results in clustered solutions, resulting in uneven exploration of the search space and hindering effective global optimization. Furthermore, the use of fixed values for discovery rate and step size creates a trade-off between solution accuracy and convergence speed. To address these limitations, an Enhanced Cuckoo Search Algorithm (ECSA) is proposed. This algorithm utilizes the Sobol Sequence to generate a more uniformly distributed initial population and incorporates Cosine Annealing with Warm Restarts to dynamically adjust the parameters. The performance of the algorithms was evaluated on 13 benchmark functions (7 unimodal, 6 multimodal). Statistical analyses were conducted to determine the significance and consistency of the results. The ECSA outperforms the CSA in 11 out of 13 benchmark functions with a mean fitness improvement of 30% across all functions, achieving 35% for unimodal functions and 24% for multimodal functions. The enhanced algorithm demonstrated increased convergence efficiency, indicating its superiority to the CSA in solving a variety of optimization problems. The ECSA is subsequently applied to optimize earthquake evacuation space allocation in Intramuros, Manila.

Information technology has changed the way educational institutions interact. Instagram, one of the visual-based social media platforms, has become a strategically used platform to create image, increase interaction, and disseminate information. Instagram is a tool used by Amikom Purwokerto University to disseminate information, both academic and non-academic, to students and the general public. However, problems such as unattractive format, inconsistent accuracy, and suboptimal delivery speed have been faced by the campus. The End-User Computing Satisfaction (EUCS) method was used in this study to evaluate the performance of Amikom Purwokerto University's Instagram account. Content, accuracy, format, ease of use, and timeliness are the five dimensions used to assess. The results showed an overall good level of satisfaction; the content dimension had the highest mean score (3.86), while the timeliness dimension had the lowest mean score (3.46).In this study, the researchers found that social media account managers at Amikom Purwokerto University can use strategic recommendations to improve the effectiveness of information dissemination. The findings can also be used as a reference for other educational institutions to use social media as a more interactive and responsive communication tool.