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Improving service quality is a primary priority in hospital management. Service quality can be improved by reducing the percentage of non-value added activities through the Lean Hospital approach. This study aims to identify activities and analyze the root causes of critical waste in the drug distribution and utilization processes at the Outpatient Pharmacy Installation of Karanganyar Regency Hospital. This study is a non-experimental research with a qualitative descriptive design. Critical waste was obtained through the distribution of a waste weighting questionnaire assessed by all personnel involved in the drug distribution and utilization processes. The results show that the Value Stream Mapping calculation for the drug distribution process obtained a lead time of 147.41 minutes and a VAR value of 36%, while in the drug utilization process, compounded prescription service obtained a lead time of 128.53 minutes and a VAR of 24%, and non-compounded prescription service obtained a lead time of 75.8 minutes and a VAR of 26%. The critical waste questionnaire calculation using the Borda method in the drug distribution process showed overproduction 60%, inventory 53.33%, and waiting 43.33%, while in the drug utilization process, waiting 43.75%, overproduction 42.85%, and defect 39.70%. The 5S method, a Lean method, was used to eliminate waste in the service process at the Outpatient Pharmacy Installation of Karanganyar Regency Hospital.

Processing plastic waste into fuel oil with pyrolysis technology. Research on plastic oil as an alternative fuel has been widely conducted. One of them is research on processing plastic bag waste into fuel oil with pyrolysis technology. In this study, a set of pyrolysis equipment was made by Lecturers and Students of UMNU Kebumen. The plastic waste used in this study was 1 kg of plastic bag. Meanwhile, the pyrolysis process used a temperature of 250oC-300oC. The fuel oil produced in the pyrolysis process of this study was approximately 400 ml. The average density of fuel oil from plastic bag waste was 0.733 gr/ml. The results of this density calculation are in the possibility of the density of gasoline, namely 0.710 gr/ml to 0.770 gr/ml. This pyrolysis process shows great potential for converting plastic waste into an environmentally friendly alternative energy source. Furthermore, the efficiency of this pyrolysis technology can be improved by adjusting the temperature and processing time, as well as by selecting a wider variety of plastic types. This technology has the potential to be applied more widely in plastic waste management within the community as a solution to reduce environmental pollution while generating renewable energy.

The use of protective equipment in the form of helmets is an important aspect of ensuring motorcycle rider safety. However, violations of helmet usage still frequently occur and are difficult to monitor continuously. This study proposes a real-time helmet detection system using the YOLOv8 object detection method. The YOLOv8n model was trained using a helmet and no-helmet image dataset that underwent data augmentation to improve the model’s robustness against variations in environmental conditions. The system was implemented using the Python programming language with the support of the Ultralytics and OpenCV libraries. The system input was obtained from a webcam with a resolution of 640×640 pixels, where each video frame was processed in real time to detect the Helmet and No Helmet classes. The system displays bounding boxes and class labels in real time and is equipped with a violation duration calculation mechanism. When a no-helmet condition is detected continuously, the system generates pop-up alerts and automatic notifications via the Telegram application. The experimental results show that the system is capable of detecting helmet usage and no-helmet violations in real time with stable performance. The integration of violation duration calculation helps reduce momentary detection errors and improves the reliability of identifying valid violations

The area of Pasir Putih beach is a recreational place for the people in Lampung province. Visitors to Pasir Putih Beach who bring vehicles can cause conflicts of delay that may lead to long queues on the Trans Sumatra Highway. This research aims to determine the performance of the Trans Sumatra road concerning the influence of the Pasir Putih Beach tour ist attraction using an unsignalized deviation approach caused by the impact of vehicle activities entering and leaving teh Pasir Putih Beach tourist spot.This is analyzed through road capacity regarding the degree of sautration (DS) and delay time (D) values of vehicles causes by the activities of vehicles entering and exiting at the Pasir Putih Beach tourist attraction. The results of the survey conducted in the field and the analysis of calculations obtained a saturation degree value on regular days of 0,59 and delay time value of 11,34 seconds/smp.

This study explores the implementation of an electronic Human Resource Management System (e-SDM) in the Gubeng sub-district of Surabaya to optimize civil servant (PNS) leave management. The primary focus is on assessing how digitalization improves efficiency, transparency, accountability, and service quality in human resource administration, particularly in leave processing. Traditionally, manual procedures required 7-14 days to approve leave requests, involved multiple steps, manual calculations, and were prone to errors, delays, and lack of transparency. The introduction of the e-SDM system significantly reduces processing time to approximately one day, enabling online submission, real-time monitoring, and electronic approval accessible anytime and anywhere via smartphones. The system automatically calculates leaves balances and prevents over-application, ensuring data accuracy and reducing misuse. Besides operational efficiency, the system enhances transparency by providing accessible real-time status updates, creating an audit trail for each decision, and making the process auditable and accountable. Despite these advantages, challenges such as user resistance, digital literacy, infrastructure issues, and system integration remain. This research employs descriptive-analytical methods, combining interviews, observations, and documentation, to analyze the effectiveness of e-SDM implementation. The findings indicate that digitalization has streamlined leave management, minimized administrative burdens, and improved data accuracy. Moreover, it fosters a fairer and more transparent work environment, reinforcing good governance principles and supporting Surabaya's vision to become a smart city. The research underscores the importance of technological adaptation within bureaucratic reforms and offers strategic recommendations for further system improvements. Overall, the successful adoption of e-SDM in Gubeng serves as a model for digital transformation in public service delivery, contributing to more efficient, transparent, and accountable governance in local government institutions.

Financial administration plays a crucial role in village-level governance, requiring transparency, accountability, and efficiency in the use of public funds. Currently, the Hameli Ate Village Office still relies on manual methods to manage its financial administration, including recording cash receipts and expenditures using notebooks and simple spreadsheets. This approach presents various issues, such as the risk of data loss, calculation errors, delays in report preparation, and difficulties in tracking and collecting financial transaction data. This study aims to develop a web-based financial administration information system to assist village officials in managing financial data more effectively, efficiently, and in an integrated manner. The methods applied include observation, interviews, and document collection to understand system requirements, while the system development process is implemented using the Waterfall model, which consists of the stages of analysis, design, implementation, testing, and maintenance. The system was built using the PHP programming language and a MySQL database and is designed to generate financial reports automatically and in real time. The testing results show that the system can handle income and expenditure data more quickly, accurately, and in a user-friendly manner. With the implementation of this information system, the financial administration process at the Hameli Ate Village Office becomes more transparent, accountable, and facilitates data-driven decision-making.

CPU scheduling is a core function in modern operating systems that significantly impacts system performance and efficiency. Among various scheduling algorithms, Priority Scheduling is widely used and exists in two main variants: non-preemptive and preemptive. The non-preemptive mode allows a process to run to completion, while the preemptive mode can interrupt a running process for a higher-priority one. Understanding the behavioral differences between these modes is crucial but often challenging through manual calculations. To address this, an interactive web-based application was developed to simulate and visualize both preemptive and non-preemptive Priority Scheduling algorithms. The research method involved designing the system logic based on the core principles of each scheduling variant, followed by implementation using standard web technologies: HTML, Tailwind CSS, and JavaScript. The application allows users to input custom process data or load predefined case studies, select the scheduling mode, and instantly receive a comprehensive analysis. The results include a dynamically generated Gantt chart, a detailed performance metrics table (including turnaround time and waiting time), and a step-by-step execution log. Through a comparative analysis of a specific case study, the application is proven to be an effective educational tool. It accurately simulates both modes and visually demonstrates the impact of preemption on execution order, resource utilization, and key performance metrics, thereby simplifying the learning process for students and educators.

The DC motor serves as the main drive of the vessel and is equipped with a rotary encoder that functions to regulate the movement of the sensor in measuring sediment levels. This rotary encoder is also used to monitor and represent the rotational speed of the DC motor. System testing was carried out by implementing a Fuzzy Logic Controller (FLC) algorithm to control the DC motor speed in moving the vessel, ensuring stable motion. This fuzzy logic–based approach is expected to improve accuracy and efficiency in sediment volume calculations, while also reducing potential errors that commonly occur in manual methods. Simulating motor speed control using the fuzzy logic algorithm in MATLAB, the best test results were achieved over several trials, with a rise time of 376.310 ms and an overshoot of 83.33%. Motor speed measurements using both a tachometer and Arduino produced consistent results, with an average relative error of 0.18%.

Syndrome is a serious problem in children's health because it has a major impact on growth and development, especially in terms of intelligence and daily activities. Down Syndrome, as one of the most well-known chromosomal disorders, is often the main cause of intellectual developmental disorders, hypotonia, facial dysmorphism, early onset of Alzheimer's disease, and various behavioral disorders. Diagnosing syndrome diseases in children is often difficult due to complex and varied symptoms, requiring lengthy, costly, and time-consuming medical evaluations. This study aims to design a Case-Based Reasoning (CBR)-based expert system for diagnosing syndromes in children, which is expected to help accelerate the disease identification process and provide more effective and efficient solutions. The method used is the development of an expert system with a CBR approach, in which the system performs calculations and matching based on the symptoms selected by the user against the available case base. The results of the study show that from symptom inputs such as wide hands with short fingers, short stature, small head, stunted growth, small lower jaw, abnormal body appearance, and weak joints, the system was able to diagnose Klinefelter syndrome with a percentage of 43.58%. This system can be an alternative for patients or families who have limited time and funds to obtain medical consultations, so that diagnosis and follow-up can be carried out more quickly and efficiently.

The selection process for prospective cadets at a maritime college is routinely carried out every year. In the current system, the processing and calculation of prospective cadet scores uses Microsoft Excel tools, but this takes a long time and can lead to errors in the calculation of scores and the recapitulation of selection results. In addition, unintegrated data can lead to data duplication, resulting in inaccurate selection results that can be detrimental to prospective cadets. A fast, precise, and accurate integrated decision support system is needed to support the selection process for prospective cadets. The author conducted a study on the prospective cadet admission system at UNIMAR AMNI Semarang using the Multi-Objective Optimization On The Basis Of Ratio Analysis (MOORA) method to assist in the selection of qualified prospective cadets who meet the established criteria. With this decision support system using the Multi-Objective Optimization On The Basis Of Ratio Analysis (MOORA) method, it can be used to solve the selection problem for prospective cadets because it has a short calculation time, is simple, transparent, and has high flexibility. This system will be built using the Codeigniter Framework and a MySQL database.

Inventory management plays a crucial role in ensuring smooth business operations by preventing stockouts that may cause losses. Toko Cat Gani still relies on manual recording, which is prone to data loss, duplicate entries, and delays in stock reporting, thus requiring a systematic solution. This study aims to design and implement a web-based inventory information system using the buffer stock method to overcome these issues. The research method employed is Research and Development (R&D) with a prototype model, consisting of needs analysis, system design, validation, and testing stages. The system was developed using PHP, MySQL, and XAMPP, featuring item data management, supplier management, inbound and outbound transactions, buffer stock calculations, and real-time inventory reports. The implementation results show that the system facilitates transaction recording, minimizes data entry errors, provides notifications when stock reaches the minimum threshold, and generates accurate and timely reports. Expert validation and user testing confirm that the system is feasible and effective in supporting inventory management at Toko Cat Gani. Therefore, the implementation of a web-based inventory information system with the buffer stock method can be considered an efficient and reliable solution to improve accuracy and effectiveness in inventory control.

This study aims to analyze the influence of the role of technology, time management, providing incentives, and infrastructure on employee work productivity in the East Jakarta area. The data collection of this study was carried out by random sampling distributing questionnaires using the Likert scale with values from one to five choices, namely Strongly Disagree = 1, Disagree = 2, Neutral = 3, Agree = 4, and Strongly Agree = 5. 100 respondents who had criteria as employees in East Jakarta were obtained from the distribution of questionnaires. The data in this study was analyzed using a Partial Least Square (PLS)-based Equation Structural (SEM) Model with SmartPLS 4.0 software. Outer Model with calculations of Convergent Validity, Discriminant Validity, Composite Validity, Cronbach's Alpha and Inner Model with calculations of statistical T, R-Square, F-Square, and VIF. The results showed that technology has a significant positive influence on employee work productivity. In addition, time management has a positive but not significant effect on employee work productivity. The provision of incentives has a significant effect on increasing employee work productivity. And infrastructure also has a positive and significant effect on employee work productivity. These results provide useful insights for companies in understanding the factors that affect employee productivity.

The development of information technology has accelerated digitization in various sectors, including in the decision-making process. In the DayTrans Shuttle service, the selection of the best route is still done manually using Microsoft Excel. This process is time-consuming, inefficient, and has the potential to cause errors and subjectivity. The purpose of this study is to design and develop a web-based decision support system by applying the Weighted Product (WP) method to determine the most optimal shuttle route objectively and efficiently. The research data was obtained through interviews, observations, and literature studies, then analyzed according to system requirements. The development was carried out through the stages of requirements analysis, database and interface design, implementation, and testing. The developed system is equipped with features for managing criteria data, alternative routes, weight calculations, and real-time presentation of recommendation results. The research results show that the system functions well, is able to speed up the route selection process, and produces accurate and transparent recommendations. Thus, this system is expected to improve DayTrans' operational efficiency while supporting the quality of inter-city transportation services.

The rapid development of information technology has had a significant impact on various aspects of life, including the decision-making process that requires precision and objectivity. One of the problems often faced is product selection with various complex criteria, for example in selecting a quality drum. Drums as a percussion instrument have many variations in terms of sound quality, material, design, price, and durability, so a system is needed that can assist users in making a more rational choice. This study aims to develop a website-based Decision Support System (DSS) using the Weighted Product (WP) method to provide recommendations for drum selection. The WP method was chosen because it is able to perform calculations by considering the weight of each criterion so that the recommendation results are more objective. The system implementation is carried out through the design of a user-friendly web-based interface, making it easier for users to access, compare alternatives, and obtain recommendations without having to perform manual assessments that are time-consuming and potentially subjective. System testing was carried out by comparing the results of the system's recommendations with expert assessments, which obtained an accuracy level of 95%. These results indicate that the developed system has a high level of reliability and is suitable for use as an aid in decision-making in selecting quality drums. With this system, it is hoped that users, both beginners and professionals, will find it easier to choose drums that suit their needs and preferences.

This study aims to analyze the thermal performance of the heating system in a small-scale plastic bolt molding machine using LDPE material, in order to determine process parameters that are efficient while maintaining product quality. The method used includes experimental testing at two set-point temperatures (90 °C and 120 °C), measurement of melting time and feed mass per cycle, as well as heat balance calculations separating the contributions of conduction, convection, and radiation on the barrel heated by a band heater. In addition, the power/energy requirement per cycle and productivity projections based on hopper capacity were calculated. The results show that increasing the set-point from 90 °C to 120 °C accelerates melting from ±240 s to ±180 s (≈25% faster). Heat transfer analysis confirmed the dominance of conduction (≈329.7 W at 90 °C and ≈471 W at 120 °C), while convection and radiation contributions were much smaller; the total system heat rate was ≈342.7 W (90 °C) and ≈490.8 W (120 °C). The discussion highlights the process trade-off: higher set-points increase production rate and mold filling quality (due to lower melt viscosity), but may raise energy consumption per cycle and require tighter mold temperature control to limit shrinkage/warpage. The practical implications for SMEs are the need for efficiency strategies based on barrel insulation, heater contact area optimization, and correlation of temperature-time settings with quality and energy consumption targets. This study concludes that controlled temperature and heating duration, supported by simple yet targeted thermal design, can improve cycle time consistency, dimensional precision, and energy efficiency in small-scale plastic bolt molding machines.

The maintenance of non-aviation defense equipment (main weapon system) is a critical aspect in maintaining operational readiness. However, the Maintenance, Repair, and Overhaul (MRO) system in Indonesia still faces limitations due to manual reporting, inefficiency in spare parts management, and the lack of integration of the Life Cycle Cost (LCC) approach. This study aims to design and develop the Integrated Cavalry Monitoring and Maintenance System (ICMMS) based on a web application that integrates sensors, real-time data analytics, and LCC calculation. The prototyping method was used, involving design, development, integration, and testing phases on the Maung Tactical Vehicle and Anoa Armoured Personnel Carrier at PT Pindad. The results of the prototype implementation showed a significant increase in maintenance efficiency: damage reporting time decreased from ±3 hours to ±1 minute, critical component identification became 95% faster, and maintenance scheduling shifted from reactive to predictive. Additionally, the integration of the LCC algorithm allows for more accurate maintenance cost estimation, supporting technical and strategic decision-making. This study demonstrates that ICMMS based on LCC can be an innovative digital solution to enhance MRO effectiveness and operational readiness of non-aviation defense vehicles in Indonesia. It is expected that this system will improve the resilience and cost-effectiveness of managing Indonesia’s military vehicle fleet.

This study aims to compare the results of student living cost estimates over a four-year study period using two approaches in financial mathematics, namely the discrete model and the continuous model. The background of the study is based on the need for students to manage their personal finances effectively amidst rising living costs due to inflation. The discrete model is used to predict expenses at certain time intervals, while the continuous model assumes that changes in the value of money occur continuously at all times. This study uses a quantitative descriptive-comparative method with controlled simulations on 100 student data with variations in monthly living costs between Rp2,000,000–Rp4,000,000 and a random inflation rate of 0%–20%. The data were analyzed using discrete and continuous growth formulas, then a Paired Sample t-Test was performed to determine significant differences between the two models. The results show that both models produce very similar living cost estimates with an average difference of only about 1–3% of the total four-year costs. The continuous model produces slightly higher results than the discrete model due to its exponential and continuous nature of calculations. However, the statistical test results showed a p-value > 0.05, indicating no statistically significant difference between the two. Practically, both approaches can be used equally in student financial planning, with the discrete model being more appropriate for short-term projections and the continuous model being more appropriate for long-term projections.

According to the circular letter from the Head of the Inspectorate General (KaIT) regarding the review of mining accident cases in September 2024 and the review of mining accidents in the third quarter of 2024, the percentage of accidents occurring in workshops reached 16.13%. Over the past five years, the Plant Department of PT Saptaindra Sejati Jobsite Sera has experienced two major incidents classified as Lost Time Injury (LTI) resulting from working with lifting equipment on undercarriage components. The purpose of this study is to identify risks, analyze risk levels, and provide recommendations for risk control in the overhaul work of the PC210-10M0 undercarriage. This research applies the HIRADC method by identifying potential hazards through calculations of likelihood and severity levels to obtain the risk level using a risk matrix. Control measures are then carried out through administrative actions such as documentation and the use of personal protective equipment (PPE). The results of this study indicate a decrease in risk levels after implementing risk controls—from extreme risk to medium risk, and from high risk to low risk. Suggestions from this study include the need to develop updated HIRADC for each section, actively conduct socialization regarding Job Safety Analysis (JSA) before work, and perform inspections as well as observations related to work behavior.

This study aims to analyze the effectiveness of the use of Village Funds in Mengkait Village, South Siantan District, Anambas Islands Regency, Riau Islands Province. The Village Fund is a strategic policy of the government in order to accelerate the development and empowerment of village communities, so it is necessary to evaluate the extent to which the funds are used appropriately and effectively. The research approach used is qualitative descriptive with data collection techniques through in-depth interviews, observations, and documentation of informants consisting of village officials, community leaders, and beneficiary communities. This study uses four indicators of effectiveness, namely accuracy of timing, accuracy of cost calculation, accuracy in measurement, and accuracy in thinking. The results of the study show that the use of Village Funds in Mengkait Village in general has been quite effective. The timeliness of the implementation was largely achieved, although some activities experienced delays due to weather and logistical factors. In terms of cost calculation, the village government has prepared the budget in a participatory and transparent manner, although there have been some adjustments due to price changes in the field. Accuracy in measurements shows that physical activities have been carried out in accordance with the technical plan, although there is still a need for increased supervision and accuracy in implementation. Meanwhile, precision in thinking is reflected in program planning that starts to be based on data and the real needs of the community, although not completely visionary or long-term. The village government has shown progress in implementing the principles of good governance and village development management. In conclusion, the effectiveness of the use of Village Funds in Mengkait Village has reached a fairly good level. To increase effectiveness in the future, it is recommended to increase the capacity of village officials, strengthen the monitoring and evaluation system, and actively participate of the community in all stages of Village Fund management.

This research is motivated by the low utilization of accounting information by Micro, Small, and Medium Enterprises (MSMEs), which can impact suboptimal business decision-making. Accounting information plays an important role in helping business actors manage operational activities, plan finances, and evaluate business performance. Therefore, this study aims to analyze the influence of accounting knowledge, business scale, and business experience on the perception of the use of accounting information, both partially and simultaneously. The approach used in this study is a quantitative approach with a causal research type. The population in this study were all MSMEs in Ngronggot District, Nganjuk Regency, totaling 162 business units. The sample used was 62 respondents, obtained through a simple random sampling technique with calculations using the Slovin formula. The data collection method was carried out by distributing questionnaires to predetermined respondents. Data analysis used multiple linear regression methods with the help of SPSS software version 27. The results of the study indicate that partially, accounting knowledge and business scale have a significant influence on the perception of the use of accounting information. This indicates that the greater the level of accounting knowledge and the larger the business scale, the higher the positive perception of the importance of using accounting information. Conversely, business experience did not show a significant partial effect, indicating that the length of time a person has been running a business does not always lead to increased use of accounting information. However, simultaneously, all three variables—accounting knowledge, business scale, and business experience—significantly influenced perceptions of the use of accounting information. This finding implies that increasing accounting knowledge and expanding business scale need to be addressed in MSME empowerment programs to optimally utilize accounting information.