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Electronic Medical Records (EMR) are essential for improving the quality, efficiency, and continuity of healthcare services. Despite mandates requiring full implementation of EMRs in Indonesian healthcare facilities by the end of 2023, many hospitals continue to face challenges in achieving effective adoption. This study aims to analyze the implementation of EMRs in the outpatient services of Nur Hidayah Hospital, Yogyakarta, using the 5M framework: Man, Money, Machine, Materials, and Method. Employing a qualitative descriptive approach, data were collected through in-depth interviews, observations, and document analysis involving key informants from medical records staff, registration officers, and IT personnel. The findings revealed that while the availability of staff and supporting infrastructure such as computers and software was generally adequate, limitations persisted in human resource specialization, training access, and system integration. Financial planning for EMR-related needs was done through annual budgeting (RAB), but coordination between departments remained minimal. Key challenges included slow internet connectivity, limited IT staff, and lack of specific Standard Operating Procedures (SOPs) for EMR usage. Overall, the EMR system has been implemented in most outpatient units, yet not all units have fully transitioned due to technical and organizational barriers. This study concludes that optimizing EMR implementation requires not only technological readiness but also organizational alignment, continuous staff development, and robust inter-departmental coordination.

In global competition, companies must be able to set competitive selling prices. Production cost components such as raw material costs, direct labor costs, and factory overhead costs are all included in the cost of goods manufactured. This study analyzes the COGS with Job Order Costing at PT. XYZ, a make-to-order company. The study was conducted by comparing COGS with Job Order Costing between Box Roller Conveyor and Bag Stop & Go Belt Conveyor as well as material usage and outsourcing. The results of the study indicate that Job Order Costing at PT.XYZ accurately traces the contribution of material costs and outsourcing to total production costs, and evaluates efficiency and cost control on each project with different characteristics. The use of Job Order Costing shows that Bag Stop & Go Belt Conveyor has a higher COGS of Rp299,655,813 than the COGS of Box Roller Conveyor of only Rp209,740,142. The cost structure shows that outsourcing is the most dominant component, reaching more than 98% of HPP on Bag Stop & Go Belt Conveyor, while raw material costs contribute less than 3%, so it can be concluded that the outsourcing vendor management strategy greatly affects the efficiency of production costs at PT. XYZ.

This study aims to analyze the effectiveness of dictionaries as repackaged information products at the Library of Universitas Perintis Indonesia. The research employed a qualitative approach using observation and interviews with librarians. The findings reveal that although both physical and digital dictionaries are available and in good condition, their utilization remains low. Dictionaries are only used when required for practical courses and are rarely accessed otherwise. Factors contributing to the low usage include limited promotion, insufficient information literacy, and the lack of integration between the dictionary collection and the academic curriculum. This situation results in the suboptimal contribution of dictionaries to students’ learning processes and information literacy. The study recommends strategies to increase dictionary utilization through active promotion, curriculum integration, information literacy training, and continuous evaluation. These findings are expected to serve as a reference for the development of academic library services, particularly in optimizing repackaged information products to support the learning needs of health science students.

The rapid growth of RT/RW Net-based internet services among the community has driven the need for an integrated, efficient, and easy-to-use billing system. The self-help RT/RW Net model often faces challenges in terms of administrative management, especially related to customer recording, billing, and financial reporting which are still done manually. Common problems faced by partners are payment systems that have not been digitized and minimal transparency in data collection and tracking of customer transactions. The purpose of this activity is to design and implement a web-based billing application built using the Laravel framework. This application is designed to facilitate the process of managing customer bills, monitoring internet service usage, and preparing financial reports automatically and in a structured manner. The method of implementing the activity includes the system design stage, training partners in using the application, and assistance in direct implementation in the RT/RW Net operational environment. The results of the activity show that the developed system has succeeded in automating most of the billing process and increasing the efficiency of administrative management by up to 80%. In addition, this system also has a positive impact on increasing transparency and accuracy of customer data. Suggestions for further development include the addition of automatic payment features through integration with payment gateways, as well as improving the user interface to make it more responsive and user-friendly.

This study investigates the impact of tail configuration variations on flight stability and battery energy efficiency in Unmanned Aerial Vehicles (UAVs). Three distinct tail types were tested: the conventional tail, the T-Tail, and the V-Tail. The objective was to compare how these tail designs affected the overall performance of UAVs, especially focusing on the balance between stability and energy efficiency. The experiments were conducted through a series of flight tests in a controlled outdoor environment, providing reliable and accurate data. During these flight tests, several performance metrics were recorded, including IMU-based angular deviations for pitch, roll, and yaw, energy consumption, flight time, voltage, and battery power. The data collected allowed for a thorough analysis of how the tail design influenced the flight characteristics of the UAVs. The results showed that the T-Tail configuration provided the highest flight stability, as indicated by the smallest angular deviations and minimal vibration during flight. This design’s enhanced stability made it the most reliable, especially for missions requiring precision control. In contrast, the V-Tail configuration proved to be the most energy-efficient, consuming only 22.80 Wh. Despite its low energy consumption, the V-Tail showed the lowest stability due to control coupling between the pitch and yaw axes, resulting in higher angular deviations and less precise control. The conventional tail, while not the best in terms of either stability or energy efficiency, struck a reasonable balance between the two. This configuration provided adequate stability while ensuring efficient battery usage, making it a suitable choice for general UAV applications. The findings of this study highlight the direct influence of tail design on UAV performance. There is a clear trade-off between flight stability and energy efficiency, with the conventional tail offering the best compromise.

This paper explores the application of quantum-inspired optimization algorithms in the training of large-scale Graph Neural Networks (GNNs) within distributed cloud-edge environments. GNNs have gained significant attention due to their ability to model complex relationships in graph-structured data, yet their training presents challenges such as high computational demand, inefficient resource allocation, and slow convergence, especially for large datasets. Traditional meta-heuristic algorithms, while useful, often face scalability and performance issues when applied to such large-scale tasks. To address these challenges, we propose a quantum-inspired meta-heuristic algorithm that leverages quantum principles, such as superposition and entanglement, to enhance optimization processes. The algorithm was integrated into a hybrid cloud-edge system, where computational tasks are dynamically distributed between edge nodes and the cloud, optimizing resource utilization and reducing latency. Our experimental results demonstrate significant improvements in training speed, resource efficiency, and convergence rate when compared to traditional optimization methods such as Genetic Algorithms and Simulated Annealing. The quantum-inspired algorithm not only accelerates the training process but also reduces memory usage, making it well-suited for large-scale GNN applications. Furthermore, the system's scalability was enhanced by the hybrid cloud-edge architecture, which balances computational load and enables real-time data processing. The findings suggest that quantum-inspired optimization algorithms can significantly improve the training of GNNs in distributed systems, opening new avenues for real-time applications in areas such as social network analysis, anomaly detection, and recommendation systems. Future work will focus on refining these algorithms to handle even larger datasets and more complex GNN architectures, with potential integration into edge devices for enhanced real-time decision-making.

Water is an essential resource for every household. Typically, household water distribution systems rely on PVC pipes and faucets. Despite this, water leakage remains a frequent issue, occurring in both pipes and taps. This study aims to design an Arduino-based automatic faucet control system capable of detecting leaks in water pipes, with the goal of conserving water and improving usage efficiency. The system employs a pressure sensor to monitor water pressure within the pipe, an ultrasonic sensor to detect user presence at the tap, and a solenoid valve to automatically shut off the water supply in the event of a leak. Testing and design outcomes indicate that the system functions effectively. The solenoid valve successfully closes the water flow automatically when a leak is detected. However, the current system lacks a notification feature to alert users when a leak occurs. Future developments should consider integrating a notification mechanism to inform users promptly about any detected leaks.

Taxes are a major source of government revenue used to support national development. To improve taxpayer compliance, the Directorate General of Taxes (DGT) has implemented the e-Filing system for electronic Annual Tax Return (SPT) submissions. This study aims to analyze the effect of e-Filing implementation on individual taxpayer compliance at KPP Pratama Bandung Cicadas. The research uses a descriptive quantitative approach with secondary data collected from 2020 to 2024. Data analysis was carried out using multiple linear regression with the assistance of E-Views software. The results indicate that e-Filing usage and taxpayer compliance have a significant impact on the increase in Annual SPT submissions. This indicates that the application of digital technology such as e-Filing contributes positively to improving tax administration efficiency and achieving national revenue targets.

This study is a literature review that aims to identify and analyze the application of GeoGebra applications in learning geometric transformations at the high school level. Geometric transformation is a material that requires high spatial visualization skills, so learning media are needed that are able to present concepts in a concrete and interactive way. GeoGebra, as a dynamic mathematics application, is considered capable of facilitating student understanding through direct visualization of transformation processes such as translation, reflection, rotation, and dilation. The study was conducted by reviewing 11 relevant scientific articles, published in the last five to ten years, and meeting certain inclusion criteria. The results of the analysis show that the application of GeoGebra in learning has a positive impact, both cognitively, affectively, and technically. GeoGebra is able to improve students' understanding of concepts, learning motivation, and learning outcomes. The implementation strategy includes the development of e-modules, digital teaching materials, problem-based learning, and application usage training. Overall, GeoGebra has proven to be valid, practical, and effective in supporting more interesting and meaningful learning of geometric transformations.

This study evaluates the relationship between the Automatic Dependent Surveillance - Broadcast (ADS-B) system and safety in air traffic management at the Semarang Branch of Perum LPPNPI. The need for enhanced efficiency and operational safety in air travel has increased, particularly following the rise in aircraft movements post-COVID-19. ADS-B, a satellite-based monitoring system, provides real-time data on aircraft position, speed, and altitude to air traffic controllers, facilitating quick and accurate decision-making. Employing a quantitative associative approach, the study uses saturated sampling, including all 26 active Air Traffic Controller personnel at the Semarang Branch. Data were gathered through a Likert scale questionnaire measuring respondents' perceptions of the variables. Analysis using SPSS revealed a significance value of 0.000, indicating a statistically significant relationship between ADS-B usage and flight safety. The correlation coefficient of 0.780 demonstrates a strong positive relationship, while the determination coefficient of 0.608 indicates that 60.8% of variations in flight safety can be attributed to the ADS-B system. Additionally, the t-test results confirm that the calculated t value exceeds the t table, reinforcing the conclusion of a significant and consistent relationship between the variables.

Supadio Airport in Pontianak is a major air transport gateway in West Kalimantan, heavily reliant on aviobridge facilities to support passenger comfort and operational efficiency. However, the implementation of aviobridge operating procedures by Apron Movement Control (AMC) officers often faces challenges, such as procedural inconsistencies and technical obstacles. This study aims to analyze the compliance of AMC officers with standard operating procedures (SOP) for aviobridge usage and to identify the challenges encountered in its operation at Supadio Airport, Pontianak. This research employs a qualitative method with a descriptive approach. Data were collected through direct observation, in-depth interviews with AMC officers, and documentation studies related to SOP and aviobridge operational reports. Data analysis was conducted systematically to evaluate procedural implementation and identify inhibiting factors in AMC officers' performance. The results of the study showed that most AMC officers had implemented the SOP for operating the aviobridge well, but there were still some discrepancies, especially in the undocking process and coordination between units. The main obstacles faced included limited personnel in one shift, as well as technical problems with the aviobridge facilities, increasing training and coordination across units was needed to ensure optimal and safe aviobridge operations.

Micro, Small and Medium Enterprises (MSMEs) play a strategic role in Indonesia's economy with a contribution of 61.07% to GDP and able to absorb 97% of the national workforce. However, the digitalization era requires MSMEs to adapt to digital technology to maintain competitiveness. This study aims to analyze the effectiveness of digital marketing training and mentoring programs in improving digital literacy of UMKM practitioners in Balikpapan City. The research method uses an experimental approach with pre-test and post-test design on 25 UMKM practitioners. The research instrument was a questionnaire with 30 multiple choice questions measuring three aspects: basic knowledge of digitalization, understanding of digital marketing, and ability to use social media and marketplaces. The training program was conducted for one day with materials covering UMKM digitalization, digital marketing fundamentals, social media marketing, and marketplace usage. The results showed significant improvements in all aspects: basic digitalization knowledge increased by 59% (from 50.4 to 80.2), digital marketing understanding increased by 71% (from 43.4 to 74.4), and social media and marketplace capabilities increased by 46% (from 59.2 to 86.2). Beginner category participants showed the most significant progress with an average increase of 86%. The program success rate reached 92% with 23 out of 25 participants successfully achieving satisfactory scores. This program proves the effectiveness of digital marketing training in improving UMKM digital literacy and provides a foundation for sustainable digital transformation.

This study examines the translation techniques in Indonesian subtitles of Interstellar (2014), applying Vinay and Darbelnet's framework. Through a qualitative descriptive analysis of 1,903 English-Indonesian subtitle pairs from Google TV, the research identifies the distribution patterns of seven translation procedures: borrowing, calque, literal translation, transposition, modulation, equivalence, and adaptation. Results indicate literal translation dominates with 636 instances (33.42%), followed by modulation (489 cases, 25.70%) and transposition (362 cases, 19.02%). Borrowing accounts for 247 cases (12.98%), while equivalence, adaptation, and calque represent 3.57%, 2.84%, and 2.47%, respectively. The nearly balanced use of direct techniques (48.87%) and oblique techniques (51.13%) demonstrates strategic approaches in professional translation. The predominance of literal translation suggests structural compatibility between English and Indonesian, while significant modulation and transposition usage reveal necessary adaptations for cultural and linguistic differences. Technical terminology often favors borrowing, and cultural references require adaptation. This research provides empirical evidence for professional audiovisual translation practices.

This study examines the concept of compound words, focusing on their types, structures, and functions in enriching linguistic expressions. Compound words are formed by combining two or more words into a single unit, creating a new meaning distinct from their individual components. This research categorizes compound words into compound verbs, compound adjectives, and compound nouns, analyzing their structures and roles in communication. Examples include verb-verb combinations like "stir-fry," noun-verb structures such as "hand-wash," and noun-noun formations like "toothpaste."By simplifying complex ideas, compound words enhance linguistic precision and efficiency, especially in academic and technical contexts. The study identifies common patterns in forming compound words and explores their role in reflecting cultural and linguistic nuances. For instance, compound adjectives like "coal-black" and compound nouns like "brother-in-law" illustrate the dynamic interplay of grammar and meaning.Findings suggest that compound words not only streamline communication but also adapt to cultural and contextual needs, enriching vocabulary through creative linguistic processes. Future research could investigate how compound word usage varies across languages and disciplines, highlighting their significance in global communication.

This study aims to examine the influence of TikTok usage on youth voter participation among Generation Z in the 2024 Presidential Election in Kupang City. TikTok, as one of the most popular social media platforms among young people, serves as a medium for spreading political information, forming political identity, and mobilizing political participation. Using a quantitative approach with a survey method involving 396 respondents, the data were analyzed using multiple linear regression. The results indicate that engagement with political content, political identity formation, and political mobilization through TikTok significantly influence youth voter participation. These findings affirm the strategic role of social media in enhancing political awareness and engagement among the younger generation.

Electronic Medical Records (EMRs) have become a fundamental component of healthcare digitization, offering improved accuracy, accessibility, and efficiency in patient data management. However, the adoption of EMR systems often encounters varied acceptance levels among healthcare workers, particularly in outpatient services where workflow integration is crucial. This study evaluates the implementation of an outpatient EMR system at RSAU dr. Siswanto, Indonesia, using the Technology Acceptance Model (TAM) framework. The research aims to explore users’ perceived usefulness, ease of use, attitude toward usage, behavioral intention, and actual system usage in daily operations. Employing a qualitative descriptive approach, data were collected through in-depth interviews, observations, and document analysis involving doctors, nurses, and medical record staff. The findings reveal that although the EMR system is generally perceived as beneficial for improving documentation and efficiency, several challenges persist, including incomplete feature utilization, limited training, and inconsistent user adaptation across roles. Additionally, network instability and technical downtime were noted as barriers to system reliability. Overall, the study underscores that perceived ease of use and continuous institutional support significantly influence EMR acceptance. These insights highlight the need for targeted capacity building and iterative system development to ensure effective EMR integration in outpatient settings.

The implementation of Electronic Medical Records (EMR) in outpatient services aims to improve the efficiency, accuracy, and accessibility of clinical information. However, the effectiveness of such systems is highly dependent on user satisfaction. This study evaluated the satisfaction of health personnel using outpatient EMR at Sultan Fatah Regional Hospital, Indonesia, by employing the End User Computing Satisfaction (EUCS) model. The research addressed issues related to incomplete data, low system responsiveness, and interface usability that may affect the quality of service delivery. A qualitative descriptive method was used, involving in-depth interviews, direct observations, and document analysis from 21 informants selected purposively across multiple service units. The EUCS dimensions—content, accuracy, format, ease of use, and timeliness—were used to assess user experience. The findings indicate that users encountered problems such as incomplete patient data and duplicate records (accuracy), non-intuitive interfaces (format and ease of use), and delays in accessing medical information (timeliness). Observations and documentation review further revealed a reliance on manual backups and inconsistencies between digital and physical records. Overall, the study highlights the need for better data integration, enhanced user training, interface redesign, and system infrastructure upgrades to ensure real-time and comprehensive EMR usage. The study concludes that addressing technical and human factors through the EUCS model can enhance user satisfaction and system utilization in outpatient healthcare settings.

Economic Order Quantity (EOQ) is one of the methods in inventory management used to determine the optimal order quantity to minimize total inventory costs, which include ordering costs and storage costs. This study aims to analyze the application of the EOQ model in managing inventory in a company. By using data on raw material usage, ordering costs, and storage costs, the results show that the application of EOQ can optimize the amount of purchases and order frequency more efficiently. The results of the analysis show that the application of the EOQ model contributes to reducing operational costs and increasing the effectiveness of stock management. Therefore, EOQ can be used as an appropriate inventory management strategy to support the efficiency and productivity of the company. Economic Order Quantity (EOQ) in controlling coffee inventory at the Suteki Medan Coffee Shop to minimize total inventory costs. The EOQ method is used to determine the optimal order quantity with the most efficient cost, as well as considering safety stock, reorder point, and total inventory cost.    

This study aims to analyze the idiomatic expressions found in the song lyrics of “Birds of a Feather” by Billie Eilish. Idioms are an essential part of figurative language that enriches the meaning of lyrics and contributes to the emotional and cultural depth of a song. Using a qualitative descriptive method, this research identifies and classifies the idioms based on Makkai’s (1972) typology and interprets their contextual meanings through Leech’s (1981) theory of semantics. The analysis reveals various types of idioms, including phrasal verb idioms and tournure idioms, that reflect themes of emotional connection and loyalty. The findings demonstrate how idioms enhance lyrical expression and offer deeper insight into the artist’s intended message. This study contributes to the understanding of idiomatic usage in contemporary music and provides a linguistic perspective on lyrical interpretation.

The objective of this study is to examine the simulation of delay time settings on the pelican crossing to minimize vehicle waiting time. The research was conducted through direct observation at two pelican crossing points behind UNAIR Campus B, specifically at the entrance gate side and the opposite side, to capture real usage conditions during peak student hours. This study employs a quantitative approach using the Discrete Event Simulation (DES) method to model and analyze the behavior of the pelican crossing system under various delay time and signal duration scenarios, with the aim of minimizing vehicle waiting time on Dharmawangsa Street,