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This research presents the design, development, and implementation of a mini smart car prototype that operates using Internet of Things (IoT) technology. The system is built around the ESP8266 microcontroller (Amica version), which functions as the core processing unit responsible for handling Wi-Fi communication and data processing. The motion of the car is controlled by an L298 motor driver module that regulates the operation of DC motors. The entire system is powered by a 3.7-volt rechargeable battery, ensuring portability and energy efficiency. The study discusses in detail the hardware configuration, software programming, and integration of IoT-based control through a web or mobile interface. Functional testing of the prototype, named MINIOT, focuses on evaluating the responsiveness, stability, and reliability of remote control operations. The results are expected to show that the system can effectively receive and execute user commands while transmitting real-time telemetry data, such as motor status and connection indicators. This project demonstrates the feasibility of low-cost IoT-based automation for small-scale robotic applications.

This study analyzes the influence of price, time efficiency, and product quality on ready-mix concrete sales volume at PT Dirgantara Betonindo Batang. This study employed a quantitative method with a causal approach, gathering data through surveys, interviews, and document analysis. A total of 70 respondents were selected using purposive sampling. The outcomes of the multiple linear regression analysis demonstrate that both time efficiency and product quality significantly influence sales volume, while price has a positive but insignificant effect. The regression model can explain 72.2% of the variation in sales volume. These findings provide strategic recommendations for company management in improving efficiency and quality to drive sales

The efficiency of investment decisions is one of the core axes in the success of organizations and the sustainability of their business, especially in light of the dynamic and complex business environment. In this context, the integrated role of both accounting and financial management systems is highlighted, as the harmony between them is a key pillar in providing accurate, real-time, and analytical data that supports the investment decision maker and reduces the degree of uncertainty and risks associated with investments. This research aims to analyze the impact of the integration between accounting systems and financial management on the quality and efficiency of investment decisions within institutions, with a focus on the nature of the causal relationship between the two variables. A conceptual model has been built that illustrates the interaction between the financial information generated by the accounting system and the analytical tools provided by the financial department, which contributes to raising the efficiency of strategic decisions related to investment. To achieve the objectives of the study, a descriptive-analytical approach supported by a standard analysis using a simple linear regression model was adopted on field data extracted from an intentional sample of financial officials in the banking and investment sector. The results showed that there is a statistically significant positive effect of the integration of accounting and financial management systems in enhancing the efficiency of investment decisions, as the model showed that integration contributes more than 50% to the explanation of changes in the quality of investment decisions. The study reached a number of important findings, the most prominent of which is that the lack of integration or poor coordination between accounting and financial management leads to delays in decisions or making them based on incomplete or contradictory information. Effective integration enables organizations to allocate resources more efficiently and evaluate investment alternatives in a thoughtful manner. The study concluded with a set of recommendations, most notably the need to develop the digital infrastructure of accounting and financial systems, adopt a unified system for data exchange, enhance the culture of teamwork between accounting and financial management units, in addition to activating the use of predictive financial analysis techniques to raise the level of accuracy in investment decisions.

This study designs and implements Bank Jali, a web-based bank queue system that applies a queue data structure with the First In First Out (FIFO) principle to improve service efficiency. The research and development method includes requirement analysis, design, implementation, testing, and evaluation. The application is built with HTML, CSS, and JavaScript, storing queue data temporarily through localStorage so the entire process runs client-side without a dedicated server. Key features include online queue registration, digital ticket generation, real-time status monitoring with waiting-time estimation, and an admin dashboard for managing teller and customer service queues. Testing shows the system operates reliably, processes queues according to FIFO, and provides a practical, lightweight user experience across devices.

Government procurement of goods and services is a crucial instrument in achieving transparent, efficient, and accountable governance. One of the key innovations introduced is the e-Catalogue system, an electronic procurement platform provided by the National Public Procurement Agency (LKPP). This study aims to evaluate the implementation of the e-Catalogue in sports equipment procurement at the Youth and Sports Office (Dispora) of Semarang City, focusing on its mechanisms, supporting and inhibiting factors, and its impact on procurement governance. This research employed a descriptive qualitative approach, involving eight informants consisting of structural officials and suppliers. The findings indicate that, in general, the implementation of the e-Catalogue has been effective, particularly in terms of time efficiency, price transparency, and accountability enhancement. However, several challenges remain, including the lack of formal policy dissemination, limited digital literacy among some staff, insufficient internet infrastructure, and unstructured inter-unit coordination. Based on these findings, the study recommends several strategic measures: (1) establishing a permanent inter-unit coordination team, (2) strengthening human resource capacity through continuous training, (3) developing a digital dashboard for real-time monitoring, (4) providing limited public access to procurement reports, and (5) fostering partnerships with suppliers through technical forums and routine evaluations. These measures are expected to optimize the implementation of the e-Catalogue and serve as a best practice model for other local government institutions.

This research aims to design and build an Internet of Things (IoT)-based electrical energy monitoring system on a Darrieus turbine prototype to optimize energy yield. This research using the Research and Development or RnD method, this method was chosen by researchers because it can provide solutions, enable the development and application of more effective learning methods. The system uses NodeMCU ESP32 sensors to measure important parameters such as voltage, current, power, and energy produced by the turbine. The collected data is then analyzed and visualized through IoT platforms such as ThingsBoard, which allows real- time monitoring of the turbine's performance. The integration of IoT in this system is expected to improve energy use efficiency by providing useful information for management and decision-making in turbine operations. This research also fills the gap in Darrieus turbine development with an approach that combines IoT-based monitoring and energy yield optimization, and can be applied to improve the efficiency of renewable energy in Indonesia

Energy audits are an essential step in supporting the efficiency of electricity utilization, particularly in large-scale commercial buildings such as shopping malls. This study was conducted to measure and analyze electricity consumption at Pollux Malls Paragon Semarang using a direct measurement approach combined with historical monitoring of energy consumption. The main focus of the audit was on the lighting system and the Heating, Ventilation, and Air Conditioning (HVAC) system from the Basement to the 6th Floor. Measurement results showed that the Energy Consumption Intensity (ECI) ranged between 39.94–45.20 kWh/m²/month, far above the national efficiency standard (maximum 18.5 kWh/m²/month), indicating a highly wasteful energy usage condition. The two main systems contributing to the largest share of consumption were HVAC and lighting, with a combined estimated share exceeding 60% of the total monthly energy use. Based on the analysis, several energy-saving opportunities were identified, including the replacement of energy-efficient lighting (LED), installation of automatic control systems (light, temperature, and timer sensors), and regular maintenance of HVAC systems. With the implementation of technical, managerial, and operational efficiency strategies, it is estimated that energy consumption savings could reach 20–30%, or around 60,000 kWh per month, without compromising visitor comfort.

This research stems from the problem of manual book lending management in libraries, which often leads to obstacles such as delays in recording, data errors, and difficulties in monitoring collections. The main objective of this research is to design and develop a web-based library information system that can facilitate member data management, borrowing, and returning, as well as providing real-time book availability information. The method used is software development with a structured approach, through the stages of needs analysis, design, implementation, and testing with black box testing. The results of the study indicate that the system built is able to meet user needs, as evidenced by the successful testing that carried out all main functions without errors. The implications of this research are increased efficiency in library management and ease for students in borrowing and checking book availability. However, this research still has limitations in advanced features such as integration with the attendance system or automatic fine payments, so that these can be developed in future research.

This study aims to analyze the contribution, effectiveness and efficiency of the tourism sector to local revenue in Alor Regency. This research is a quantitative descriptive study with time series data for 5 years, namely in the 2018-2022 period. The data used are tourism sector revenue realization data, local revenue realization data, tourism sector revenue target data and tourism sector spending data sourced from the Alor Regency Regional Revenue Agency and the Alor Regency Tourism Office. To calculate the contribution, the level of effectiveness and the level of efficiency of the tourism sector to the local revenue of Alor Regency the analysis technique used is to calculate the Contribution Ratio, Effectiveness Ratio and Efficiency Ratio. The results of this study indicate that the contribution made by the tourism sector to local revenue in Alor Regency for the period 2018-2022 is very less which results in this contribution being ineffective and inefficient.

Consistent and efficient concrete quality in each implementation is one of the main factors in the success of construction projects. Concrete as a structural material requires strict quality control in order to meet the technical standards that have been set. One way to improve the quality of concrete is to add certain additives to the job mix formula (JMF). This research is focused on the application of SG type additives known as chemical-based additives to improve the properties of fresh concrete and hard concrete. SG additives have an important function in increasing workability, speeding up or slowing down the binding time as needed, maintaining quality stability, and strengthening concrete finishes. In this study, a comparison was made between a concrete mixture with SG additives and a concrete mixture without additives. The tests included slump parameters, initial binding time, and compressive strength at 7 and 28 days of age. The test results showed a significant difference, especially in the improvement of the consistency and compressive strength of concrete with the use of additives. The results of the discussion showed a comparison of Trial Mix 1 and Trial Mix 2 that are different in terms of material composition, cost efficiency, and compressive strength of concrete. Trial Mix 2 with the composition of cement, admixture, water, and aggregate (sand and split) showed more optimal results. The compressive strength achieved was 821,396.00 kg/cm² at the age of 28 days. In terms of cost, Trial Mix 2 requires Rp. 351,582.00 per m³, with an efficiency difference of around Rp. 32,953.00 per m³ compared to the previous mix

This study aims to analyze the operational feasibility of providing child-friendly recreational facilities at airport terminals to enhance service quality or Level of Service (LoS). A qualitative approach based on a literature review was used to examine various sources and previous research to evaluate the urgency, impact, as well as design and implementation strategies for child-friendly facilities at airports. Facilities such as play areas, breastfeeding rooms, and child-friendly toilets are expected to improve the experience of passengers, particularly families traveling with children, by providing additional comfort during their time at the airport. The findings indicate that the presence of these facilities significantly contributes to improving user perceptions of the airport’s service quality. The psychological comfort of family passengers is also enhanced, with safe and comfortable spaces for children. This not only creates a more inclusive environment but also provides operational benefits such as better terminal space management and efficiency. Child-centered design plays a crucial role in improving facility quality, where modular design is seen as a practical solution to adapt the facilities to the evolving needs of the terminal. Moreover, collaboration with private sectors is considered a strategic approach to support the provision of these facilities, given the substantial investment required. The study concludes that investing in child-friendly facilities at airports is a strategic decision, as it has the potential to enhance the airport's competitiveness. Well-designed facilities also improve user satisfaction and create a more comfortable travel experience. These findings are expected to serve as a reference for airport managers and provide a foundation for future research that quantitatively measures the impact of these facilities.

The development of information technology has encouraged business actors, including small enterprises in the food and beverage sector, to adopt Accounting Information Systems (AIS) to support financial and operational management. Selesa Coffee & Eatery, as a small enterprise, has implemented ESB POS (Esensi Solusi Buana Point of Sales) to facilitate transaction recording and financial report management. This study aims to analyze the impact of implementing an ESB POS–based AIS on individual performance, organizational performance, and net benefits using the DeLone & McLean (2003) model framework. The research employed a qualitative approach with a case study strategy. Data were collected through interviews with managers and accounting staff, direct observation of the café’s operational activities, and documentation of system-generated financial reports. Data analysis was conducted using the Miles & Huberman model, which includes data reduction, data presentation, and conclusion drawing, along with triangulation to validate the findings. The results show that the implementation of ESB POS enhances individual performance by simplifying record-keeping, accelerating reporting, and reducing manual errors. At the organizational level, the system supports operational efficiency, transparency, and work coordination. In terms of net benefits, the system contributes to improved data accuracy, time efficiency, and provides support for evaluation and strategic decision-making. This study concludes that the implementation of an ESB POS–based AIS significantly contributes to the sustainability of small enterprises.

Enhancing the efficiency of renewable energy on ships is crucial for reducing dependency on fossil fuels. This research employs the Research and Development (R&D) method, aiming to design and implement a solar panel optimization system for battery charging, with a focus on increasing power efficiency and providing real-time performance monitoring. The system is designed using Maximum Power Point Tracking (MPPT) technology to maximize the solar panel's power output. A 200Wp solar panel with dimensions of 1290 x 760 x 30 mm was utilized. Static testing results show that the deployed sensors possess a high degree of accuracy, with an average error of 0.71% for the temperature sensor and only 1.81% for the light sensor used to monitor environmental conditions. Dynamic and system integration tests prove that the MPPT implementation significantly increases power output efficiency by 30.83% compared to a system without MPPT. Furthermore, the system with MPPT charges the battery approximately 27% faster. Additionally, the developed Modbus protocol-based monitoring system enables comprehensive and remote monitoring of key parameters such as voltage, current, temperature, and light intensity via a cloud database. Data communication reliability tests confirmed the system's capability to transmit entire data packets to a Google Sheets database at a periodic interval of 15 seconds without failure. Based on these results, the developed solar panel optimization system is feasible for implementation in maritime environments to enhance the utilization efficiency of renewable energy and the operational reliability of onboard systems.

Waste candlenut shells are one type of biomass that has significant potential to be developed as an alternative energy source, particularly in the form of briquettes. Candlenut shells, which are typically discarded as agricultural waste, contain combustible material that can be transformed into solid fuel. However, the traditional briquette molding process is still done manually, which is time-consuming, inefficient, and often results in inconsistent briquette shapes and density. This study aims to design and develop a briquette molding machine specifically for processing candlenut shell waste, with the goal of improving both production efficiency and the quality of the briquettes produced. The research methodology includes several stages: mechanical design, selection of appropriate materials, fabrication of machine components, assembly, and performance testing of the machine. The resulting machine utilizes a screw conveyor compression system powered by a 5.5 HP petrol engine. It features a cylindrical mold with a 40 mm diameter to shape the briquettes uniformly. During the performance test, the machine demonstrated a maximum production capacity of 14.3 kg per hour, with an average processing time of 24 minutes and a briquette yield reaching up to 85%. The findings indicate that the machine can significantly streamline the briquette production process while maintaining product consistency and quality. This briquette molding machine is particularly suitable for household and small-scale industries aiming to utilize renewable energy sources and reduce dependency on fossil fuels. The use of this machine also supports environmental sustainability by converting agricultural waste into a usable energy product.  

Tomato crop yields face significant threats from plant diseases, with existing deep learning solutions often computationally prohibitive for resource-constrained agricultural settings; to address this gap, we propose Efficient Disease Attention Network (EDANet), a novel lightweight architecture combining depthwise separable convolutions with hybrid attention mechanisms for efficient Tomato disease recognition. Our approach integrates channel and spatial attention within hierarchical blocks to prioritize symptomatic regions while utilizing depthwise decomposition to reduce parameters to only 104,043 (multiple times smaller than MobileNet and EfficientNet). Evaluated on ten tomato disease classes from PlantVillage, EDANet achieves 97.32% accuracy and exceptional (~1.00) micro-AUC, with perfect recognition of Mosaic virus (100% F1-score) and robust performance on challenging cases like Early blight (93.2% F1) and Target Spot (93.6% F1). The architecture processes 128×128 RGB images in ~23ms on standard CPUs, enabling real-time field diagnostics without GPU dependencies. This work bridges laboratory AI and practical farm deployment by optimizing the accuracy-efficiency tradeoff, providing farmers with an accessible tool for early disease intervention in resource-limited environments.

The development of information technology has affected a large number of sectors, one of which is the culinary industry, namely Cafe D'Carlos located in Parepare. This cafe has problems with the manual catering ordering process due to impracticality, recording errors, and long processing times. This study aims to design and develop a web-based catering ordering application to improve operational efficiency and service quality. In general, the development method for various applications tends to be the same depending on the case being handled. The method used includes several stages, namely: literature study, observation, system design using UML, implementation with PHP programming language and testing with the black box method. The features available in this application consist of main features including user registration, menu package selection, online ordering, payment, order and data management by the admin. The results of the application testing indicate that the system has run according to its function, namely it can reduce frequent order compliance, speed up the ordering process and increase customer satisfaction.

SMA Negeri 1 Maumere as one of the secondary education institutions continues to show development through improving the curriculum, infrastructure, and extracurricular programs. However, the tuition payment system that is still carried out manually poses various challenges in managing school financial administration. This study aims to analyze the effectiveness of the manual tuition payment system using the SWOT approach to identify the strengths, weaknesses, opportunities, and threats that affect the process. The results of the analysis show that although manual systems have been in use for a long time and are easy for financial officers to understand, they are still vulnerable to recording errors, process delays, and the risk of inaccurate data accumulation. In addition, the study found that the evaluation of this manual system makes an important contribution to the development of management science, especially in understanding the dynamics of administrative control and decision-making processes. The findings of the study recommend the development of a technology-based tuition payment system, such as online payments or integrated applications, as a solution to improve the efficiency, accuracy, and quality of administrative services at SMA Negeri 1 Maumere..

Background: Maritime engineering has traditionally relied on reactive and preventive maintenance strategies, often leading to operational inefficiencies, unplanned downtime, and excessive costs. With the rise of smart ship technologies, predictive maintenance (PdM) has emerged as a data-driven solution, leveraging sensor-based monitoring and real-time diagnostics to optimize ship maintenance. However, its integration into maritime education remains underexplored, particularly in training vessels used for vocational learning. Original Value: This research contributes new insights into the feasibility, effectiveness, and educational relevance of predictive maintenance in maritime vocational training. Unlike previous studies that focus on commercial ship applications, this study examines PdM within the context of training vessels at Poltekpel SULUT, bridging the gap between academic training and industry expectations. Objectives: The study seeks to answer: How does predictive maintenance improve the efficiency, cost-effectiveness, and reliability of naval auxiliary systems in training vessels? Methodology: A qualitative approach was employed, integrating sensor-based performance analysis, structured interviews, and questionnaire surveys involving cadets, instructors, and industry professionals. Data were analyzed through thematic categorization, cross-group comparisons, and narrative synthesis. Results: PdM demonstrated high effectiveness in reducing downtime (92/100), optimizing maintenance efficiency (91/100), and aligning with industry practices (89/100). However, challenges in sensor accuracy (85/100) and training integration were identified. Conclusions: The findings highlight the necessity of incorporating predictive maintenance into maritime training curricula to equip future engineers with the skills required for Industry 4.0 maintenance solutions, ensuring better operational efficiency and sustainability in the maritime sector.

This research aims to:1) To understand and analyze development of revenue, hotel tax and restaurant tax in North Tapanuli Utara from 2015-2023. 2) To understand and analyze the effectiveness, hotel tax, restaurant tax effectiveness, hotel tax efficiency, and restaurant tax efficiency in North Tapanuli Regency. This study uses time series data from 2015-2023, wihich is secondary data, to assess the efectiviness of hotel tax and restaurant tax revenue on local revenue (PAD) in North Tapanuli Regency. The data collection method used is library research, which utilizes literature or library materials as the primary data source. Quantitative descriptive analysis methods are used determine the develoment of PAD, tax development, restaurant tax development, hotel tax effectiveness, tax efficiency, and restaurant tax efficiency. The results of this study provide an overview of the development of PAD, development of hotel taxes, the development of restaurant taxes, the effectiveness of hotel tax revenue, restaurant taxes, hotel tax efficiency towards the original regional income (PAD) of North Tapanuli Utara Regency in 2015-2023. The average development of PAD in North Tapanuli regency is 10 percent, the average development of hotel taxes is 4 percent and the average development of restaurant taxes is 19 percent. The average effectiveness is 89 percent, which is classified as quite effective, the effectiveness of restaurant taxes reaches 91 percent which is classified as effective. The efficiency of hotel taxes is 5 percent which is classified as inefficient, while the efficiency of restaurant taxes is 107 percent which is classified as very efficient.

This study aims to design and develop a web-based information system for managing socialization services at the Regional Disaster Management Agency (BPBD) of Banyuwangi Regency. The existing problem is that socialization data management is still carried out using Google Forms and Google Sheets separately, which causes difficulties in integration, monitoring, and reporting activities. This study uses the Research and Development (R&D) method with the Waterfall software development model which includes the stages of needs analysis, design, implementation, testing, and system maintenance. The results show that the developed web-based information system allows input, storage, and presentation of socialization activity data in real-time in one integrated dashboard. This system can simplify the process of monitoring, evaluation, and preparation of activity reports, while increasing the efficiency and accuracy of data management. With this system, BPBD Banyuwangi is expected to provide socialization services to the community in a more effective, transparent, and timely manner.