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The issue of illegal parking in Batam City has become a serious concern, where unofficial parking attendants often collect fees from drivers without contributing to the local government. This situation not only disrupts order and security but also harms local revenue (PAD). Illegal parking practices create discomfort for the public and reduce trust in the existing parking system. Moreover, it hinders the optimization of PAD potential that should be generated from a well-organized and orderly parking system. This research aims to develop a technological solution to address this issue by creating an Android application called Fast Parking System. The application is designed to improve parking system efficiency through a fast, secure, and transparent cashless payment system. By using this application, drivers can pay for parking digitally, reducing direct interaction with parking attendants and minimizing the potential for illegal fees. The application is also integrated with an official surveillance system, allowing local authorities to monitor parking activities in real-time and ensure that parking fees are directed to the local treasury. It is expected that the implementation of Fast Parking System will create a more orderly, safe, and efficient parking system. With this solution, the local government can not only increase transparency but also optimize revenue from the parking sector. In addition, the application offers greater convenience for the public in using well-managed parking facilities. The findings from this research can serve as a useful reference for the Batam City Government and other cities in Indonesia facing similar illegal parking issues. It can also be used as a guideline for developing more efficient and modern technology-based parking systems.

The implementation of Electronic Medical Records (EMR) in healthcare institutions aims to improve the efficiency, accuracy, and accessibility of medical data. RSUD Weda, a regional hospital in Indonesia, has adopted an EMR system in its outpatient services to replace conventional manual processes. However, this transition has faced several challenges, including inadequate training, unstable network infrastructure, and inconsistent adherence to Standard Operating Procedures (SOPs). This study aims to evaluate the performance of the EMR implementation using a qualitative descriptive method based on the 5M framework—Man, Material, Machine, Method, and Money. Data were collected through interviews, direct observation, and document analysis involving stakeholders such as medical staff, administrators, and IT personnel. The findings indicate that while users acknowledge improvements in data accuracy and accessibility, key issues remain, particularly in training quality, infrastructure readiness, and system reliability. The study also observed gradual improvements in SOP compliance and reduced system failures over time. These results suggest that successful EMR adoption requires a balance of technical infrastructure, human resource readiness, financial support, and continuous system monitoring. The use of the 5M framework proved effective in identifying multidimensional challenges and offering holistic insights into the implementation process. This study contributes to the broader literature on EMR evaluation by providing contextualized evidence from a district-level hospital and offers practical recommendations for enhancing EMR system performance in similar healthcare settings.    

Automatic Identification System (AIS) is a communication technology that plays an important role in improving operational safety and efficiency in the shipping industry. AIS allows ships to exchange real-time data on identity, position, speed, and direction, which helps prevent collisions and facilitates maritime traffic management by port authorities. In addition, AIS functions in search and rescue operations by providing accurate information on the location of ships in trouble. In terms of security, AIS allows monitoring of suspicious ships, thus helping in preventing illegal activities in the waters. This study aims to design and develop a prototype AIS receiver based on LoRa, Arduino, and LCD HMI. The LoRa module was chosen because of its ability to transmit data over long distances with low power consumption, which is suitable for the maritime environment. Arduino is used as the main microcontroller to control the system, while the LCD HMI serves as the display interface for the received data. After the hardware and software design was completed, the system was tested through functional testing and performance measurements using a spectrum analyzer to evaluate the strength of the LoRa signal at various distances. The test results show that the AIS receiver is able to receive data well up to 15 meters on land and 13 meters at sea, with a delay of 100 milliseconds. System performance degrades at longer distances due to environmental interference and signal attenuation. These findings provide insight into the effective limits of LoRa communication in maritime applications and can be used as a reference for frequency testing and optimization of LoRa-based long-range communication systems.

This article discusses the Direct Instruction strategy, a teacher-centered learning approach that emphasizes systematic and structured delivery of material. The purpose of this study is to address the following research questions: (1) What is meant by direct instruction strategy? (2) What are the characteristics of the direct instruction strategy? (3) What are its strengths and weaknesses? and (4) How is the direct instruction strategy applied in Islamic Religious Education (PAI) subjects? This article uses a library research method by examining various relevant theoretical sources. The findings indicate that direct instruction is an effective approach for delivering factual and procedural knowledge, particularly when learning objectives focus on mastering basic skills and understanding concepts in stages. This strategy is characterized by clear teacher guidance, structured learning steps, and continuous assessment. Its advantages include time efficiency and ease of classroom control, while its drawbacks involve limited student participation and less development of critical thinking skills. In the context of PAI learning, this strategy can be effectively applied to memorization materials, basic conceptual understanding, and character formation through concrete examples and teacher modeling.      

The increasing waste problem requires innovative solutions that are efficient and sustainable. This study aims to design and build an Internet of Things (IoT) based garbage cleaning robot that can be monitored and controlled remotely. This system is designed by utilizing a microcontroller as the main brain, sensors to detect the presence of garbage, and an IoT-based communication module that allows monitoring and control of the robot via mobile devices or the web. Based on the results of the analysis and testing carried out, this study shows that the use of ESP8266 in the RC Trans Robot motor control with the Blynk application has succeeded in significantly increasing system efficiency. The system successfully responds to user input via a mobile application and can control the movement of the robot in real-time. The performance of the robot system controlled via a WiFi network shows good stability in various test scenarios. The robot can operate effectively within a distance that matches the range of the WiFi network, with fast control response and reliable communication.

This study aims to analyze the Pareto distribution of stock quality in 16 Apotek Kimia Farma outlets in Southeast Sulawesi during the period of January to October 2024, with a focus on inventory management based on ABC analysis. The research employed a descriptive quantitative design with a longitudinal (time series) approach, involving descriptive, trend, comparative, and correlation analyses to evaluate stock distribution and its stability. The findings show that, overall, the stock distribution in Kimia Farma outlets follows the Pareto principle, with category A accounting for an average of 73-86% of total sales value. However, significant variations were found across outlets, with outlets such as KF 004 and KF Hasanuddin Kendari showing high stability in category A distribution, while outlets like KF BULOG and KF Kolaka exhibited greater fluctuations. Seasonal patterns were also identified, with a decrease in category A percentages in April-May and October. Based on these findings, optimizing inventory management strategies based on Pareto distribution can enhance stock management efficiency, with recommendations to focus on category A, conduct regular evaluations of categories B and C, and adjust for seasonal patterns. This study suggests the implementation of more flexible inventory management strategies for each outlet to improve operational efficiency and customer service.

Along with the development of technology and the increasing need for speed and ease of access to information, electronic archives have developed into Dynamic Archiving Information Systems (SIKD). Not only functioning as a storage medium, SIKD is also used as an archive management tool that allows organizations to organize, access, and monitor documents more efficiently and in real-time, to support the creation of a more modern work process. This study was conducted at the Head Office of Perum BULOG with the aim of analyzing the effectiveness of SIKD in archive management, identifying obstacles to its implementation, and formulating efforts to increase personnel awareness of the use of SIKD. This study uses a qualitative method using a research method that focuses on direct observation of phenomena or events that occur in real life, and uses a data analysis model with the help of NVivo 12 Plus software. The units of analysis in this study are sub-division heads, managers, and employees who are active users of the Dynamic Archiving Information System (SIKD). Data were obtained directly from the original source using interview, observation, and documentation techniques, and supplemented with literature studies as additional sources of information. Based on the research results, it shows that the implementation of SIKD increases work efficiency, accelerates the flow of correspondence, and digitizes archives. However, the implementation of this system still faces challenges such as low employee awareness in using this system, technical constraints, and operational constraints.

In Law Number 44 of 2009 concerning Hospitals it is stated that hospitals must meet the requirements for location, buildings, infrastructure, human resources, pharmacy and equipment. Pharmaceutical requirements must ensure the availability of quality, useful, safe and affordable Pharmaceutical Preparations, Medical Devices and Consumable Medical Materials. The Workers' General Hospital has drug procurement data that exceeds the 2022 RKAP target, namely in the last 5 months between August and December 2022. The aim of this research is to reveal empirically the selection of providers by combining three procurement methods, namely e-catalog, direct procurement with the standardization of the Pertamedika IHC Drug Formulary and direct procurement with negotiations carried out by the hospital's own negotiation committee and a priority scale is formed to achieve efficiency targets. This priority scale meets the eligibility test for the Benefit - Cost Ratio criteria. This research was conducted at the Workers' General Hospital in Jakarta. The research time is February 2023 - June 2023. The research approach used is a qualitative approach. Meanwhile, the research method used was a case study in which researchers conducted an in-depth exploration of the process of selecting generic drug providers on a priority scale and tested their feasibility using the Benefit - Cost Ratio (BCR) method. Based on calculations, a BCR value of 1.9 was obtained, which can be interpreted as a priority scale that is feasible for the Workers' General Hospital. The results of this research have implications for hospitals because implementing effective and efficient drug procurement will ensure continuity of service with affordable drug costs.

Penarukan Village, located in Tabanan Regency, is predominantly inhabited by communities engaged in freshwater fish farming, particularly Nile tilapia (Oreochromis niloticus). The high demand for Nile tilapia in Tabanan and surrounding areas poses a challenge for farmers to manage the growth and development of the fish to ensure optimal quality. During the cultivation process, various issues arise that require effective solutions to support the sustainability of this sector. One of the main problems faced by fish farmers is related to the quality of biofloc pond water, which is still monitored using conventional methods. Poor water quality that does not meet the optimal living standards for Nile tilapia can hinder growth, reduce fish health, and negatively impact production yield. Manual monitoring methods are also prone to inaccuracy and complicate the data analysis process needed for effective decision-making.To address this issue, a technology-based solution has been proposed in the form of a real-time monitoring system using the “SI-NILA” mobile application integrated with a microcontroller-based Internet of Things (IoT) system. This system allows for continuous monitoring of pond water quality and automated pH control to maintain suitable conditions for fish growth. This innovation is expected to improve efficiency and effectiveness in fish farming practices, minimize the risk of crop failure, and promote the digital transformation of aquaculture in Penarukan Village, contributing to the sustainable development of the freshwater aquaculture sector.

The current research aims to identify the role of digital transformation across its dimensions (technology, digitization of operations, databases, human resources) in promoting digital entrepreneurship in its dimensions (digital information base, digital business environment, digital skills and e-leadership, financing) among a sample of employees in private banks in the Middle Euphrates region. The research problem emerged regarding the ability of the private banks under study to use digital transformation and digital entrepreneurship. This problem lies in the lack of environmental stability, limited financial infrastructure, and weak human expertise. Therefore, the research problem was formulated in an important question: What is the impact of digital transformation on promoting digital entrepreneurship in Iraqi private banks? In order to determine the level of research variables, a questionnaire was adopted by distributing (136) questionnaires to employees in private banks in the Middle Euphrates region to measure the nature of the level of the research variables. To analyze the results, the statistical packages (SPSS & AMOS.V.29) were used. As a result, the research produced various results, most notably the existence of a significant correlation between digital transformation and entrepreneurship. Digital businesses contribute to encouraging innovation in developing new financial products and services that meet changing market needs. The results also showed that digital transformation helps private banks improve the efficiency of internal operations, leading to a reduction in transaction time. Furthermore, digital transformation processes can provide smoother and faster financial services, which supports customer satisfaction and loyalty.

This research focuses on designing the shortest path to a docking station for the charging system of a robotic coffee delivery system on a cruise ship. With the growing demand for more efficient and innovative services in the maritime industry, autonomous robots are increasingly being used for tasks such as delivering coffee to passengers. However, these robots face unique challenges in the confined and dynamic environment of a ship, particularly in terms of power management and recharging. The goal of this research is to create an efficient charging system using a power bank and Internet of Things (IoT) technology to minimize downtime and ensure continuous robot operation with minimal human intervention. By utilizing sensors such as the MPU 6050 for motion detection and the TCS 3200 for color recognition, the robot can autonomously navigate the shortest path to the docking station for charging, while IoT enables real-time battery capacity monitoring. This helps reduce the time spent on non-operational tasks and improves the overall efficiency of the system. This research not only enhances the robot’s ability to operate autonomously in complex environments but also provides a flexible and scalable solution for the maritime industry to integrate advanced robotics into their service operations. The results of this study contribute to the increased adoption of autonomous systems in the maritime sector, particularly in improving service efficiency on board, reducing the need for human intervention, and ensuring smoother service delivery to passengers.

Integrated public services in a one-stop service system, such as the one implemented at the Mal Pelayanan Publik (MPP) Badung, serve as an answer to the public's demand for efficient, fast, and transparent bureaucracy. However, in its implementation, MPP still faces various strategic challenges, such as fragmentation between agencies, limited human resources, and suboptimal digital system integration that supports cross-sector services. This study aims to analyze adaptive and collaborative managerial strategies to address these challenges and explore digital innovation opportunities to improve service quality. By using a literature review method from various journals, policy reports, and supporting documents, this study shows that the success of the one-stop service system greatly depends on visionary leadership, synergy between agencies, and adequate technological support. The discussion concludes that flexible, responsive managerial strategies that emphasize cross-agency collaboration can enhance efficiency and user satisfaction. Therefore, updating digital systems, involving the community, and improving human resource capacity are crucial steps in realizing modern and sustainable public services. Another key factor for success is the adoption of innovative digital technologies. By investing in digital infrastructure, MPP can automate many of its processes, reducing paperwork, speeding up response times, and ensuring better coordination between departments. The development of user-friendly platforms and mobile applications will also allow citizens to access services more easily, improving their satisfaction. Additionally, involving the community in the decision-making process through feedback and engagement mechanisms can help identify areas for improvement and tailor services to better meet the public's needs. To ensure long-term success, continuous capacity building for human resources is essential. Well-trained staff, equipped with the skills and knowledge to operate advanced systems, will be able to provide higher-quality services.

Traffic congestion and limited parking spaces in the tourist area of Jalan Braga, Bandung City, have become significant issues that require innovative solutions. This study aims to design and implement a Smart Parking System using Internet of Things (IoT) technology and a mobile application to enhance efficiency, transparency, and convenience in parking management. The system is designed to detect real-time parking availability using ultrasonic sensors integrated with microcontrollers, and deliver this information to users through an Android-based application. Additionally, the system features parking slot reservation, digital payment, and parking data management for operators. Test results show that the system can reduce the time needed to find parking by up to 40% and increase user satisfaction. The implementation of the Smart Parking System in Jalan Braga is expected to support smarter and more environmentally friendly urban mobility in Bandung City.

This study aims to enhance the quality of operational performance by implementing the Holonic Manufacturing System (HMS). The system involves dividing manufacturing processes into autonomous, collaborative, and participatory holons, including the Order Holon, Product Holon, Resource Holon, and Staff Holon. The primary objective is to optimize production efficiency by reducing costs, minimizing processing time, and increasing flexibility while improving overall organizational productivity. The research problem centers on evaluating the impact of holonic manufacturing on operational performance improvement. This study is significant as it addresses a critical issue for firms striving to enhance their efficiency and deliver value to customers. The adoption of HMS is not only a practical approach but also a widely recognized business strategy that has garnered interest from researchers and industry professionals alike.To achieve the study’s objectives, a structured questionnaire comprising 36 items was developed and distributed to participants. Two primary hypotheses were formulated to examine the relationship between HMS implementation and operational performance quality. Various statistical analyses were conducted using SPSS (version 24) and AMOS (version 24) to test the hypotheses and validate the findings. The results indicate a significant correlation and causal relationship between the Holonic Manufacturing System and operational performance quality. The findings suggest that implementing HMS effectively enhances organizational performance by improving production processes, increasing efficiency, and reducing operational constraints. Therefore, adopting this system can lead to a more agile, cost-effective, and productive manufacturing environment, making it a valuable strategy for modern organizations.

Crackers are a typical Indonesian food that is very popular with various groups because of its crunchy texture and distinctive savory taste. One type of cracker that is often found is shrimp paste crackers, which are made from flour with the addition of shrimp paste, spices, and raising agents. In the production process, sophisticated technology is needed to increase production efficiency so that it can save energy, time, and costs. However, production equipment produced by factories is often expensive and difficult for the public to reach. Therefore, appropriate technology has emerged that is designed to help the community, one of which is a manual cracker cutter. This tool is designed to speed up and simplify the process of cutting crackers with uniform cutting results, namely 2-5 mm thick. Based on the trial, the cracker cutter using guitar strings showed significant time efficiency compared to a kitchen knife. The total cutting time with a kitchen knife reached 6 minutes 88 seconds, while using a cutter only took 42 seconds, with a time difference of 6 minutes 18 seconds. These results show that a manual cracker cutter based on guitar strings can increase efficiency and productivity in the cracker production process.

This research develops a prototype of an automatic watering device based on the Internet of Things (IoT) and a soil moisture sensor to improve the efficiency of watering crops in agricultural fields. The main problem addressed is the consistency and efficiency of watering in large agricultural fields, where traditional management is prone to human error and inefficient water use. The developed prototype uses an ESP8266 microcontroller (NodeMCU) as the brain of the system connected to a Wi-Fi network, allowing remote monitoring and control via the Blynk application. A soil moisture sensor is used to detect soil conditions in real-time, triggering watering only when needed. This helps optimize water use and increase agricultural productivity sustainably. This research outlines the methodological steps from design, manufacturing, to implementation of the prototype in the field. Evaluation of the results shows that the system successfully regulates watering effectively based on soil conditions, with positive responses from farmers as end users.

Cloud-Based Accounting Systems (CBAS) are technological innovations that support digital transformation in financial management by increasing efficiency, transparency, and real-time data access. This system helps companies reduce manual recording errors, improve reporting accuracy, and accelerate data-based decision-making processes. In addition, CBAS also has advantages in terms of flexibility of use and compliance with accounting standards, making it a relevant solution for modern companies. Although CBAS offers many benefits, its implementation can also create a perception of technological superiority that does not fully reflect reality if it is not balanced with organizational and human resource readiness. Challenges often faced in implementing CBAS include dependence on cloud services, data security threats, and errors in system input or configuration that can lead to inaccurate financial reports. In addition, overly high expectations for automation can lead to neglect of manual supervision that is still needed to maintain the reliability of financial information. The success of CBAS implementation is highly dependent on a well-designed implementation strategy, adequate user training, and appropriate risk mitigation measures. With careful planning and a strategic approach, CBAS can serve as a tool that increases financial transparency and efficiency, not just a technology trend that provides no real benefits.

Harvesting is a crucial stage in the palm oil production process that impacts the efficiency and productivity of the plantation. Choosing the right harvesting method can increase the effectiveness of time and labor. This study compares harvesting efficiency using manual and mechanized methods by measuring the duration of fruit harvest and transportation time to the collection point (TPH). This study was conducted in November–December 2024 at PT. Kencana Sawit Indonesia, located in Talao Sungai Kunyit, South Solok, West Sumatra. The equipment used included stationery, a stopwatch, and data related to working time and harvest results. Data were collected through direct observation. The analysis was carried out using the t-student statistical test to evaluate the difference in working time between the manual and mechanized methods. The results showed that harvesting with mechanization was more efficient than the manual method. The difference in harvest time reached 12 seconds per bunch with a P value of 0.0002, while the transportation time to the TPH was 23.48 minutes faster per ton with a P value <0.0001. Monthly production with mechanization averaged 48.69 tons, while the manual method only produced 38.13 tons per month. Thus, the use of mechanized harvesting methods has proven to be faster in the harvesting process, fruit transportation, and increasing monthly production results. The implementation of mechanization can be a strategic step to increase operational efficiency and productivity of oil palm plantations.

In the modern construction industry, accuracy and efficiency in volume calculations are crucial aspects of project success. This study compares two methods for calculating the volume of pile caps and reinforcement: the manual method and the Building Information Modeling (BIM)-based method. The manual method has long been used but has limitations in terms of time efficiency and a higher risk of errors. In contrast, the BIM method offers more accurate and efficient calculations through software-based digital modeling. This study employs a descriptive-comparative quantitative approach by analyzing volume calculation data using both methods. The results indicate that the BIM method has a higher level of accuracy, with a concrete volume of 1,822.87 m³ and reinforcement of 148,862.80 kg, compared to the manual method, which produced a concrete volume of 1,842.17 m³ and reinforcement of 150,279.05 kg. The comparison of pile cap volume calculations shows that the BIM method achieves 98.95% effectiveness in concrete volume calculations and 99.06% effectiveness in reinforcement calculations compared to the manual method. Additionally, the BIM method has proven to be more efficient in reducing calculation time and minimizing input errors. Thus, BIM is more recommended for large-scale projects that require high accuracy and efficiency in construction volume calculations. However, the manual method remains relevant as a validation tool and for small projects with technological limitations. This study highlights the importance of adopting digital technology in the construction industry to enhance productivity and project planning effectiveness.    

The reliability of a data center is highly dependent on its air conditioning and cooling system. This research evaluates the existing cooling system of Universitas Krisnadwipayana’s data center using the PPDIOO Network Life-Cycle approach. The study finds that the current cooling system, which relies on AC Split, fails to meet TIA-942 standards, posing significant overheating risks and increasing downtime probability. Observational analysis shows that the cooling distribution is inefficient due to inadequate airflow and the absence of a structured cooling layout. To address these issues, this research proposes an optimized cooling system design that incorporates Computer Room Air Conditioning (CRAC), hot aisle-cold aisle arrangement, and raised floor implementation. The recommended improvements also include installing temperature and humidity sensors for real-time environmental monitoring and implementing N+1 redundancy for enhanced system reliability. These solutions are expected to improve cooling efficiency, reduce energy consumption, and mitigate downtime risks. Future research should focus on evaluating the practical impact of this design by conducting real-world trials and exploring liquid cooling technology as a potential alternative for further efficiency improvements.