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The Rectorate's field of function is the function of improving performance, safety and efficiency in the use of elevators where the vertical transportation system is used as a tool to facilitate the activities of people and goods to move between certain floors in a building. Elevators are used as a tool to facilitate the activities of both people and goods to get to the floors In certain office and lecture buildings, it is a one-story building in building D which uses an elevator as a means of vertical lift transportation. Effective and efficient elevator planning is needed so that the elevator can be operated optimally. This should have a big impact on the comfort of building occupants as elevator users. One of the consequences of inadequate elevator planning is the occurrence of queues during peak hours. Therefore, some analysis of elevators in lecture and office buildings is needed. Elevator efficiency can be analyzed by calculating elevator requirements which depend on several variables such as lifting speed, lifting capacity, elevator waiting time, number of building occupants, and how large the building is. Meanwhile, the effectiveness of the lift can be obtained from the scheduling preparation and budget requirements involved in each lift's preventive maintenance. The research methodology used in this research is interviews, observation, secondary data collection, and data processing. From the results of data processing it can be concluded that the efficiency and effectiveness of the lift is 75% of the lift requirements for the 2 lift units provided. The research results also show several preventive maintenance schedules and preventive maintenance budgets within a one-year budget period.

This study aims to analyze the effectiveness of using Accurate in managing cash expenditures at PT Graha Mukti Indah, which is engaged in property development. Good cash expenditure management is very important so that companies are able to maintain liquidity and financial stability in the long term. The research method used is descriptive qualitative with a case study approach. Data was obtained through direct observation of the system used, interviews with finance staff, and documentation of cash expenditure transactions. The results show that Accurate is able to increase time efficiency in recording, reduce the level of human error, and provide real-time cash reports that can be used as a basis for managerial decision making. This finding implies that digitizing the financial system through the use of accounting software can be a relevant strategy for similar companies to improve transparency, accuracy, and the overall quality of financial decision making. Overall, the implementation of Accurate has proven to be an effective solution for improving cash expenditure management at PT Graha Mukti Indah, and its successful integration could serve as a model for other property development companies seeking to enhance their financial management practices.  

This introduction to the Macromedia Flash 8 application aims to provide students with understanding and skills in using Macromedia Flash 8 for design and understanding the use of Flash 8. Introduction to the Macromedia Flash 8 application is often needed in creating animations and designs for student learning. The Macromedia Flash 8 application allows its introduction to be personal and efficient, by using image and sound designs from separate sources into one Macromedia Flash 8 application. During the introduction to the Macromedia Flash 8 Application, participants will be taught about the concept of designing the use of Macromedia Flash 8, steps -design preparation steps, creating animations using Macromedia Flsah 8, and merging data into the application. This introduction to the Macromedia Flash 8 application will also discuss the benefits of using Macromedia Flash 8, including time efficiency and accuracy in the student learning that will be created. Through a combination of theory and practical exercises, participants.It is hoped that they will be able to master the steps in the application development process that will be presented using Macromedia Flash 8. The results of this training are expected to provide participants with the ability to create personal and efficient student animations, including for education and other organizations. Thus, the introduction of this application contributes to increasing the effectiveness of communication in various activities involving the student learning process.

The rapid urbanization and industrialization of cities have significantly contributed to the rising pollution levels, especially in urban rivers, where water quality is often compromised. Monitoring water quality in real-time is essential for mitigating the adverse effects of water contamination. This research aims to design and implement an Internet of Things (IoT)-based system for real-time monitoring of water quality in urban rivers, focusing on the continuous collection and analysis of environmental data. The system utilizes a range of sensors to measure critical water quality parameters, including pH, temperature, dissolved oxygen (DO), turbidity, and various contaminants, all of which transmit data wirelessly to a central server for further processing. The study evaluates the accuracy, reliability, and efficiency of the IoT system in detecting water pollution and its ability to deliver real-time insights. Findings demonstrate that the IoT system offers a higher level of precision and faster detection compared to conventional monitoring methods, making it an effective tool for real-time pollution detection and decision-making. Additionally, the integration of the IoT system with a user-friendly visualization platform enhances the accessibility of the data for stakeholders, enabling them to monitor the water quality effectively. The study suggests that IoT-based water quality monitoring systems present a sustainable long-term solution for urban water management, offering cost and time savings. Moreover, the research highlights the importance of cross-sector collaboration to support the development and deployment of IoT technologies and recommends further advancements in sensor technologies to monitor additional water quality parameters.  

The application of appropriate technology has an important role in increasing the production capacity and product quality of MSMEs. This service aims to increase the production capacity of Safnur MSMEs in Lengkong Village, Rakit District, Banjarnegara Regency through the implementation of a spinner tool. The results of the service showed that the use of the spinner tool succeeded in increasing production capacity from 10 kg to 15 kg per day, as well as reducing drying time by up to 66%. In addition, the quality of banana chips products also increases significantly with lower oil content, resulting in products that are crisper and last longer. The training and assistance provided to Safnur MSME workers ensures optimal use of spinner tools, increasing production efficiency and consistency. The implications of the results of this service are not only increasing income and business sustainability of Safnur MSMEs but also opening up new job opportunities for the surrounding community. This success can be used as a model for the development of other MSMEs in the area. Recommendations are given for the continued use of spinner tools and the development of MSMEs through appropriate technology support, ongoing training, and collaboration with the government and related institutions.

The rapid development of technology will obtain excellent effectiveness and efficiency from sources of electrical energy owned by a company or agency. With the progress of the industrial world today, the development of digital technology which ends in computer systems indirectly makes control technology involved as part of this progress. The availability of a power source is a very important aspect in the midst of technological developments. However, because the system is very complex, starting from the power plant to distribution to consumers, there is a high possibility of disturbances that can cause the flow of electrical energy to consumers to be cut off. There are certain places including factories, offices, banks, campuses, hospitals, airports and other places that could potentially endanger one's safety or drastically disrupt the course of the economic cycle. The flow of electrical energy must not be interrupted for a very long time because it can hamper the production process. and others, so that additional supply is needed to anticipate when the electricity is cut off from the National Power Plant source.

This research aims to analyze the role of the Management Information System (SIM) in supporting the decision-making process at the North Sumatra Land Agency Regional Office. This study explores the integration, reliability and contribution of information systems used in managing property and land information and their impact on the efficiency and effectiveness of decisions. The research methodology includes surveys of system users, interviews with top-level managers, and documentation of analyzes related to the technological infrastructure implemented. The data collected was analyzed using qualitative methods to understand the adequacy of the system, its suitability to user needs, and its contribution to the decision-making process. The research results show that the implemented Management Information System has a number of advantages, including efficient data management, better information accessibility, and real-time data availability. However, challenges such as data security and the need for increased integration with other systems were identified as potential improvements. In the context of decision making, MIS is proven to play an important role in providing timely and accurate information for management in making strategic decisions regarding land ownership, document updates and property transfers. Recommendations are prepared based on research results to improve the efficiency and effectiveness of the Management Information System to support better decision making at the North Sumatra Land Agency Regional Office. This research provides valuable insights for managers and developers of information systems in the context of the Land Agency, as well as a basis for improving the system to increase its decision-making role to a more strategic and responsive nature.

Inventory of goods at MI is an important process to ensure smooth operations and learning. With a good inventory system, MI can manage its goods effectively and efficiently, so that it can support the achievement of its educational goals. Administration of goods equipment or goods inventory in MI includes activities such as recording, coding and reporting goods inventory. This includes inventory items (such as tables, benches, whiteboards) and non-inventory items (such as markers, erasers, pencils). The inventory process aims to create goods administration, financial savings, and effective supervision of these goods. Inventory activities of educational facilities and infrastructure in schools include planning, procurement, distribution, use, maintenance and disposal of goods. Inventory recording of goods is carried out in various books, such as the goods inventory master book, goods inventory class book, non-inventory goods record book, quarterly report list, inventory item mutation, and annual recapitulation list. A computerized goods inventory system can help organizations increase efficiency and effectiveness of goods management. This system can help organizations save time and costs, increase productivity, and make better decisions regarding goods management.

Recent developments in information and communication technology such as artificial intelligence (AI) provide new opportunities to increase the efficiency and accuracy of performance assessment. The impact of the COVID-19 pandemic and the shift to a remote work model has created a need for technology solutions to unify and transmit the performance of employees working from multiple locations. The use of technology in performance management evaluations may raise concerns regarding data security and privacy, inconvenience or resistance to employees or stakeholders. Not all employees or managers have the same level of skill and understanding of the technology being implemented and it requires a high initial investment in maintenance and upgrades. This article provides an understanding of how technology can be applied in management performance evaluation and its benefits in increasing efficiency, objectivity and accuracy in employee assessment as well as providing recommendations for innovation and changes in the use of technology in management performance evaluation. The methodology used is a qualitative method by collecting data from various information sources. Some of the positive impacts of implementing technology in performance evaluation management are increased efficiency and productivity, real-time feedback, increased objectivity and fairness, more accurate and measurable performance monitoring. The technologies that can be used are Go Talent, Feedback and Recognition Systems, Analytics Technology, Application-Based Performance Evaluation Systems, Use of AI for Objective Evaluation and Chabots for Feedback.

Finishing workstations have two activities: cleaning and painting. Irregular work layouts cause time wasted just to move the product to be worked on. In addition, there is no permanent work layout arrangement or placement of work objects so that every day there is a change in work layout makes workers have to make adjustments again, so this will waste time and will reduce the productive time of each worker at the painting work station. The purpose of this study is to design an improvement layout that can be used for cleaning and painting work using the motion study method. The results of the motion study analysis obtained a repair work layout combining two cleaning and painting jobs into one repair layout with the placement of workpieces and work equipment according to the needs of the right and left hands, so that the resulting work movement is more effective and increases cycle time efficiency.

The increasing complexity of modern software systems and the growing demand for real-time data processing have significantly contributed to higher energy consumption in computing infrastructures. This challenge is particularly evident in systems that rely on continuous monitoring, analytics, and adaptive decision-making. Addressing energy efficiency without compromising system performance has therefore become a critical concern in sustainable software engineering. This study proposes an energy-aware software approach that integrates real-time analytics with adaptive feedback mechanisms to optimize energy consumption while maintaining operational performance. The research adopts a design science oriented methodology, encompassing system design, implementation, and experimental evaluation. The proposed system architecture consists of real-time data acquisition, intelligent analytics, and an adaptive control layer based on the MAPE-K (Monitor, Analyze, Plan, Execute, Knowledge) feedback loop. Experimental evaluations were conducted under dynamic workload scenarios to compare the proposed adaptive system with a baseline non-adaptive system. Key performance indicators included energy consumption, response time, throughput, and adaptation latency. The results demonstrate that the proposed system achieves a substantial reduction in energy consumption while maintaining, and in some cases improving, system performance metrics. The adaptive feedback mechanism enables the system to respond effectively to workload fluctuations, reducing unnecessary energy usage during low-demand periods and ensuring stable performance during peak loads. These findings provide empirical evidence that real-time analytics and adaptive control can effectively support energy-efficient and sustainable software systems. This research contributes to the field of energy-aware software engineering by demonstrating that intelligent real-time adaptation is a viable strategy for achieving sustainability objectives in dynamic and performance-critical environments.

Renewable energy microgrids integrated with smart control systems are emerging as a sustainable solution for electrifying rural industrial zones, offering substantial improvements in energy efficiency and reductions in carbon emissions. This study explores the implementation of hybrid renewable energy systems, combining solar and wind energy, and the integration of Internet of Things (IoT) sensors to optimize energy consumption in real-time. The findings highlight that the combination of solar and wind energy in microgrids leads to up to a 30% increase in energy efficiency, with a significant reduction in CO₂ emissions, reaching up to 50% compared to traditional grid systems. IoT sensors play a crucial role in load forecasting, optimization, and system stability, enabling real-time monitoring and proactive adjustments to energy distribution. Additionally, the implementation of these systems in rural industrial zones not only provides reliable, clean energy but also reduces reliance on fossil fuels, making them economically viable and environmentally sustainable. However, challenges such as high initial investment costs, integration complexities, and the need for skilled technicians remain. Despite these barriers, the long-term benefits of reduced energy costs, improved energy security, and lower carbon footprints make renewable energy microgrids a promising solution. The study suggests that these systems can be scaled to other rural regions facing similar challenges in energy access and carbon emissions, offering a path to sustainable development. Further research is recommended to explore alternative renewable energy combinations and advancements in IoT applications to improve system scalability and efficiency.

The integration of Artificial Intelligence (AI) chatbots into customer service operations within digital banks has become a transformative trend in the banking sector, particularly in Indonesia. This study examines the effectiveness of AI chatbots in improving both operational efficiency and customer satisfaction in three selected Indonesian digital banks. The research focuses on evaluating the impact of AI chatbots in reducing response times, handling high volumes of customer inquiries, and improving service availability. The study also delves into customer feedback, measuring satisfaction with the ease of use, personalization, and responsiveness of the AI systems. The results demonstrate that AI chatbots significantly enhance customer service efficiency by reducing wait times and automating routine inquiries, which reduces the need for human intervention. Additionally, customers reported high satisfaction with the round-the-clock availability of AI chatbots and the personalized financial advice provided. However, despite these benefits, challenges related to data security, chatbot accuracy, and customer adaptation to automated systems remain prevalent. Data privacy concerns and issues regarding the chatbot's ability to handle complex queries were noted as limiting factors in customer trust and satisfaction. The study highlights the implications of these findings for the future of digital banking in Indonesia, emphasizing the need for improved chatbot integration, stronger data security measures, and enhanced user experience design. The integration of AI in customer service operations holds significant potential for digital banks and the broader financial sector to improve operational efficiency, reduce costs, and meet the evolving expectations of customers.

This research aims to analyze the usage of the BRIMEN application and its impact on the ease of performance of Credit Administration Officers (ADK) at the Pasuruan Branch Office of PT Bank Rakyat Indonesia (Persero) Tbk. The research method used is qualitative method with a participatory approach and descriptive research type. Data were obtained through observation, interviews, and direct documentation in the field. The results show that the BRIMEN application facilitates ADK officers in various tasks such as scanning customer documents, uploading files to the system, and archiving physical files. Although still in the refinement stage, BRIMEN provides time efficiency and flexibility for officers, who previously performed processes manually. In conclusion, BRIMEN has provided benefits in improving the work efficiency of Credit Administration Officers (ADK) at the Pasuruan Branch Office. Although further refinement is needed, this application has the potential to be continuously developed to enhance productivity and operational efficiency.

Competition in the industrial world after the impact of Covid-19 has become fierce competition. Many companies choose to increase effectiveness and efficiency by implementing digitalization in production and sales activities. PT. Megarhizo Ega Persada is a company that is developing, a company whose main production is liquid organic fertilizer under the brand "Megarhizo". Production activities still use manual bookkeeping processes. So it takes a long time for distribution from the warehouse to the production location. Miscalculations often occur in warehouses resulting in inappropriate production targets, due to insufficient or expired materials due to being in the warehouse for too long. This problem often occurs because the recording process is not thorough and results in stock buildup or stock shortages in the warehouse. So we need a system that can easily and quickly manage data so that these things don't happen again. Digitalization of the sales process is a solution to this problem, fertilizer products are products that are different from other production, because fertilizer is a product that is monitored so the price of fertilizer should not burden the public. By digitizing sales, companies can directly monitor stock and products sold from each distribution location to the resellers. So the number of products sold and prices can still be monitored, besides that the company can also find out the effectiveness of fertilizer production.

This research discusses the role of SI APIK application in improving the quality of CV Rapoviaka Simple's financial statements. SI APIK, as an integrated financial information system, is designed to simplify the process of recording, processing, and reporting company finances. The application is designed to simplify the financial recording process, reducing the potential for human error. This study aims to determine the role of the SIAPIK application in improving the quality of financial statements. The type of research used is descriptive qualitative research using primary data. Interviews and observations are a reference in this study to explain a measure of the quality of financial statements. The results of this study indicate that the SI APIK application has succeeded in increasing the efficiency of preparing financial reports. SI APIK also helps in managing financial data in real-time allowing companies to respond to market changes faster.  

This study investigates the performance and sustainability of a hybrid solar-biomass drying system for agricultural products, focusing on its efficiency, environmental impact, and economic feasibility. The hybrid system combines solar energy and biomass combustion to create a continuous and reliable drying process. The key findings reveal that the hybrid system achieves over a 20% improvement in drying efficiency compared to solar-only and biomass-only dryers. This efficiency gain is attributed to the synergistic use of solar energy during the day and biomass energy during periods of low sunlight or at night, ensuring consistent drying conditions and reduced drying time. Additionally, the hybrid system significantly reduces CO₂ emissions, contributing to a more sustainable approach to agricultural processing. The environmental benefits of using renewable energy sources, as opposed to fossil fuels, align with the growing need for energy-efficient and eco-friendly agricultural technologies. Economic analysis suggests that the hybrid system is a cost-effective solution for small- to medium-scale farmers, particularly in rural areas where access to grid electricity is limited. The use of locally available biomass fuels further enhances the system’s sustainability and affordability. This study also discusses the practicality of implementing hybrid dryers in rural farming communities, emphasizing their potential to improve drying efficiency, reduce environmental impacts, and boost economic opportunities for farmers. Future research should focus on optimizing system integration, expanding biomass fuel options, and exploring automation to enhance the performance and scalability of hybrid drying systems.

The recruitment and selection activities for prospective partners at BPS (Central Statistics Agency) involve a process of seeking and acquiring applicants capable of collaborating with government institutions. Various recruitment and selection methods for BPS partner candidates are commonly employed by government agencies, including job postings, employee recommendations, collaboration with universities, advertisements, and so forth. However, with the current technological advancements, the internet has become a widely used medium for job seekers. One of the methods in use today is through the use of applications. The effectiveness and efficiency of using applications in the recruitment and selection of BPS partner candidates aim to determine how well these applications perform in the process at the BPS Palu Central Statistics Agency. This research is qualitative in nature with a descriptive approach. Data collection techniques involve observation and interviews with prospective BPS partners in Palu. The results of these methods indicate that the effectiveness and efficiency of using applications in the recruitment and selection process for partner candidates are highly effective. This is evident in the significant number of applicants who register and the smooth execution in line with the application's usage. Prospective partners are targeted accurately, understand the program, adhere to timelines, and bring about tangible changes. Any shortcomings, issues, or obstacles in using the application can be resolved effectively, although challenges such as server website downtime need improvement to optimize the application for recruiting BPS partner candidates.

This study explores an artificial intelligence (AI)-based predictive maintenance system for industrial machinery in Indonesian manufacturing. By utilizing machine learning algorithms, the system can analyze real-time machine data to predict equipment failures and recommend timely maintenance actions. The implementation of predictive maintenance has shown to reduce machine downtime by 20% and improve operational efficiency in manufacturing plants in Jakarta and Surabaya. This paper discusses the technical design of the predictive maintenance system, its economic impact on production costs, and implications for Indonesia's industrial sector.

This study aims to analyze consumer responses to the queue phenomenon that occurs at Cipatik Public Fuel Filling Station (SPBU). Queues at gas stations are often a major concern for consumers, affecting customer satisfaction and the operational performance of gas stations. This study identifies the main factors that influence consumer response to queues, focusing on queue cases, waiting time, and consumer feelings regarding service. The research method used a quantitative approach through a consumer survey involving a representative sample of Cipatik gas station users. Data was collected through a questionnaire covering aspects such as consumer perception of service speed, queue efficiency, and overall satisfaction level. The results of data analysis show that there is a lack of consumer satisfaction with the queues that occur at Cipatik Service Station, West Bandung Regency. Therefore, it is necessary to improve queue management by the gas station. The addition of filling pump lines needs to be addressed so that the service level can increase. In addition, shorter waiting times and a more efficient service experience are considered by consumers as key factors in increasing their satisfaction. The findings of this study provide valuable insights for Cipatik Service Station management and relevant stakeholders to improve queue management and increase customer satisfaction. The practical implications of this study can assist policy makers in developing more effective operational strategies to address queuing issues and improve consumer experience at the gas station.