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The rapid development of information technology drives various business sectors, including the beauty and health industry, to adopt digital systems in their operational management. A Beauty Clinic, a medium-scale aesthetic clinic, faces significant operational challenges in managing human resources, finance, and digital marketing in an integrated manner. This study aims to analyze the existing manual operational system of A Beauty Clinic using the PIECES framework (Performance, Information, Economy, Control, Efficiency, Service), design and configure an Odoo ERP Community Edition implementation integrating the HR, Invoicing/Point of Sale, and Social Marketing modules, and evaluate the operational efficiency improvements achieved. The research employed a qualitative descriptive approach with a case study method and Rapid Application Development (RAD) as the system development methodology. Data was collected through direct observation and semi-structured interviews. The results show that the manual system experienced critical problems across all six PIECES dimensions. Post-implementation evaluation indicates an estimated 80% reduction in the secretary's administrative workload (from 20–25 hours to 3–5 hours per month), over 90% reduction in payroll error frequency, and an 87% reduction in transaction processing time per cashier transaction. The implementation of role-based access control and complete audit trails fundamentally addressed the security vulnerabilities identified in the as-is analysis. This study demonstrates that Odoo Community Edition is an effective, comprehensive, and cost-efficient ERP solution for small and medium-scale beauty clinics seeking to transform from fragmented manual systems to integrated, data-driven information systems.

The Jambi Class II Climatological Station is the agency responsible for providing climate data and information to the public and relevant agencies. In practice, the process of handling data requests is still carried out conventionally, resulting in relatively long processing times for document management, archiving, and user service. This situation has led to several challenges, such as inefficient administrative processes, a high risk of document loss, and limitations in monitoring the status of data requests. This study aims to design a web-based Data Service Information System that can support the digitalisation of climate data services at the Class II Jambi Climatology Station. The system development method used is the prototype method, as it allows the development process to be carried out in stages based on user needs. The system design was carried out using the Unified Modelling Language (UML) as a modelling tool to describe system requirements, process flows, and user interactions with the system. The design results show that the developed system is capable of facilitating the online submission of data requests, tracking the status of requests, and managing the service database in a more structured manner. The system also provides a digital archiving feature that simplifies the management and retrieval of data request documents. The implementation of this system is expected to improve the efficiency of service processes, speed up data request processing times, enhance service transparency, and support improvements in the quality of public services at the Class IV Jambi Climatological Station.

The process of creating and verifying employee ID cards at BKPSDMD Jambi City was previously carried out manually, resulting in lengthy processing times, data entry errors, and a high risk of identity forgery. This study aims to design and implement a web-based employee ID card digitalization system integrated with QR Code technology to improve the efficiency, accuracy, and security of employee identity verification. The system was developed using the Waterfall methodology, consisting of requirements analysis, system design, implementation, testing, and maintenance. The application was built using Native PHP, MySQL, HTML, CSS, and JavaScript. Functional testing was conducted using Black Box Testing with 12 test scenarios, while usability evaluation employed the System Usability Scale (SUS) involving 20 respondents. The results indicate that all core system features functioned properly, achieving a 100% success rate on valid test scenarios. Furthermore, the usability evaluation produced an average SUS score of 71.75, which falls into the good and acceptable categories. The implementation successfully accelerated the ID card issuance process, improved data management accuracy, and enhanced identity verification security through QR Code integration directly connected to the employee database. Therefore, the developed system effectively supports digital transformation and improves the efficiency of employee identity management at BKPSDMD Jambi City.

Primary healthcare centers generate both medical and non-medical waste that may pose environmental and public health risks if not properly managed. This study aims to describe the waste management practices at Kesumadadi Public Health Center, Bekri Subdistrict, Central Lampung Regency, in 2025. This research employed a descriptive design conducted in May 2025 at the Kesumadadi Public Health Center. Data were collected through observation and interviews as primary data and secondary data from the health center. Data processing included editing, coding, tabulating, and cleaning, while data analysis was carried out using checklists and questionnaires. The results showed that the segregation of medical and non-medical solid waste was not fully in accordance with standards, waste transportation to temporary storage areas did not use trolleys and lacked designated routes, there was no wastewater treatment facility for liquid waste, and the use of personal protective equipment by staff was not optimal. Waste management practices at the Kesumadadi Public Health Center have not met the required standards, particularly in waste segregation, transportation, liquid waste treatment, and occupational safety, therefore improvements are needed to reduce environmental and health risks.

The management of integrated network services, including WiFi, CCTV, and Cable TV, requires high data accuracy to ensure customer satisfaction and revenue stability. PT. Sumber Aiti faced operational challenges due to manual administrative systems, causing data redundancy, delays in handling service disruptions, and financial discrepancies in the billing cycle. This study aims to design and develop a Web-Based Integrated Network Service Management Information System using the Waterfall development method. The Waterfall method was selected for its structured, sequential phases, requirements analysis, design, implementation, testing, and maintenance, which align with PT's stable, procedural business processes. Sumber Aiti. The system integrates customer registration, service monitoring, and automated billing management (e-billing). Functional testing using Black Box Testing on 11 test scenarios showed that 10 of 11 features (90.9%) functioned correctly, including authentication, service registration, payment processing, and administrative reporting. Comparative analysis of business processes indicates that the system reduces manual recording steps from 7 to 3 stages (57% reduction) and eliminates data redundancy across WiFi, CCTV, and Cable TV service records. The implementation of this system provides a strategic solution for improving operational efficiency and administrative accountability at PT. Sumber Aiti.

The rapid development of information technology requires adaptation across various business sectors, including small and medium enterprises (SMEs). BUMDes Poto Bo’o, located in Wolotopo Village, Ndona Timur District, still manages sales data manually using ledger books. This practice leads to several issues, such as data inaccuracies, lack of automatic inventory updates, and delays in report generation.This study aims to design and implement a basic necessities (sembako) sales information system for the BUMDes. The system development method used is the waterfall model, which consists of requirement analysis, system design, implementation, testing, and maintenance stages. The system is developed using PHP programming language and MySQL database.The main features of the system include product management, customer management, transaction processing, tracking of incoming and outgoing goods, and real-time sales reporting. The results show that the developed information system improves transaction recording accuracy, enhances inventory data accuracy, and accelerates the sales reporting process.Therefore, the system is expected to improve the operational efficiency of BUMDes Poto Bo’o, support financial management transparency, and increase public trust in the performance of the village-owned enterprise.

Management of hazardous and toxic waste (B3) in hospitals is an important aspect of maintaining environmental health and preventing pollution risks. RSUD Jenderal Ahmad Yani Metro has implemented hazardous waste management using the reduce, reuse, recycle (3R) concept; however, its implementation has never been comprehensively evaluated. This study aimed to evaluate the management of hazardous waste using the 3R concept at RSUD Jenderal Ahmad Yani Metro based on the Regulation of the Minister of Environment and Forestry No. P.56/Menlhk-Setjen/2015 and to identify the supporting factors. This research used a qualitative design with a case study approach. The research informants consisted of 23 participants selected using purposive sampling, including the hospital director, ward heads, IPCN, sanitation officers, 3R waste management officers, and sanitation operators. Data were collected through observation, in-depth interviews, and document review using interview guidelines and checklists. Data analysis was conducted using the Miles and Huberman model, including data reduction, data display, and conclusion drawing. The results showed that the transportation, storage, and processing stages of hazardous waste management were in accordance with the Regulation of the Minister of Environment and Forestry No. P.56/Menlhk-Setjen/2015. However, the sorting and containerization processes were not fully compliant because recyclable waste was still mixed with other hazardous waste. In addition, several supporting factors were identified, including the lack of training and certification among human resources, inadequate infrastructure, and the absence of technical guidelines and standard operating procedures for the 3R waste bank. Therefore, improving human resource capacity, infrastructure, and internal hospital regulations is necessary to optimize 3R-based hazardous waste management.

Information technology advancements have sparked a digital revolution in village government operations, especially in tracking and assessing village officials' performance. Performance evaluation is still done by hand in many village government organizations, which frequently causes reporting delays, ineffective data processing, and a lack of transparency in the evaluation process. In order to facilitate a more efficient and organized monitoring and performance evaluation process, an information system therefore required. In order to support the management village apparatus data, performance assessment procedures, and integrated reporting, this study intends design and develop a web-based monitoring system for assessing the performance village officials. To represent the system processes in an organized way, the system design is modeled using the Unified Modeling Language (UML), which includes use case diagrams, activity diagrams, and sequence diagrams. To make sure that every system function performs in accordance with user requirements, system testing is carried out using the Black Box Testing method. The findings demonstrate the system's ability handle village apparatus data, carry out automated performance evaluation procedures, compute final scores using assessment indicators, and produce precise performance reports. It is anticipated that the system's implementation will enhance the village officials' performance monitoring procedure's efficacy, efficiency, transparency, and structure.

In the era of digital transformation, the utilization of information technology in business activities has become an important factor in improving operational efficiency and effectiveness. Dzikri Baby Shop, a business engaged in the sale of baby equipment, still faces challenges in managing sales transactions and inventory manually, which may lead to recording errors, process delays, and less optimal customer service. This study aims to design and develop a sales information system for Dzikri Baby Shop to support digital transformation in its business processes. The system development method used in this research is Rapid Application Development (RAD), as it enables software to be developed in a relatively short time through an iterative approach and active user involvement. The system developed includes product data management, sales transaction processing, inventory control, and report generation. The testing results using the Black Box Testing method show that all system features function in accordance with user requirements. Therefore, the implementation of this sales information system is expected to improve operational efficiency, accelerate transaction processes, minimize errors in data management, and enhance the quality of customer service.

The decline in service quality observed in 2023, such as frequent malfunctions of queue management machines and slow credit processing, indicates that the implementation of Total Quality Management (TQM) at PT Bank Pembangunan Daerah Sulawesi Tenggara, Wakatobi Branch, has not been fully optimized. These issues are particularly evident in aspects of continuous improvement, employee education and training, long-term management commitment, and employee involvement and empowerment. Therefore, this study aims to analyze the effect of Total Quality Management implementation on employee performance at PT BPD Sultra Wakatobi Branch. This research was conducted from February to August 2024 in Wangi-Wangi Regency. The study employed a quantitative research design using a census approach, in which all 40 employees were included as respondents. The data used in this study consisted of primary data collected through questionnaires and secondary data obtained from company documents. Descriptive analysis and Structural Equation Modeling–Partial Least Squares (SEM-PLS) were applied to examine the relationship between TQM and employee performance. The results reveal that long-term management commitment as well as employee involvement and empowerment have a significant effect on employee performance. In contrast, continuous improvement and education and training do not show a significant influence, indicating the need for further evaluation and improvement to strengthen the future implementation of Total Quality Management and enhance organizational performance.

The increasing demand for low latency and high-throughput multimedia applications has spurred significant advancements in hardware software co design. This study explores the integration of custom digital signal processing (DSP) hardware accelerators with optimized software frameworks to enhance deep learning accelerated DSP tasks. The proposed co design approach significantly reduces latency and improves throughput compared to traditional software-only DSP implementations. Through the development of custom hardware accelerators built with FPGA technology, the system achieves up to a 1.85x reduction in latency and a 1.5x improvement in throughput for real-time multimedia tasks such as image recognition, video decoding, and audio processing. The combination of hardware and software optimizations allows for better resource utilization, enabling the parallel processing of computationally intensive tasks while the software framework handles less demanding operations. Additionally, the co design system demonstrated improved energy efficiency, making it highly suitable for embedded systems. The results show that the hardware software co design approach offers substantial advantages in performance, latency reduction, and energy efficiency, positioning it as a viable solution for real-time multimedia applications. The findings have important implications for applications requiring fast data processing, such as autonomous driving, healthcare, and disaster management. Future research could explore alternative hardware accelerators, advanced software optimizations, and AI-based resource management to further improve the system’s efficiency and scalability for more complex multimedia tasks.

The primary focus of this research is to evaluate the influence of Good Corporate Governance (GCG), profitability levels, and entity scale on the market value of coal mining companies listed on the Indonesia Stock Exchange (IDX) between 2021 and 2023. This study adopts a quantitative design by utilizing secondary data from the official IDX website, where 8 companies were selected as samples from a total population of 34 coal sub-sector companies through purposive sampling techniques. Data processing was carried out through panel data regression analysis using Eviews 12 software. The research data indicates that, independently, the implementation of good corporate governance and the level of profit acquisition do not contribute significantly to determining the value of the entity. Conversely, company size is proven to have a significant negative impact. Simultaneous testing confirms that these three independent variables collectively have a significant effect on company value. These findings indicate the need for strategies that consider factors beyond good corporate governance and profitability in efforts to increase company value, such as operational efficiency and proper asset management.

The integration of Digital Signal Processing (DSP) algorithms in low power microcontroller based embedded systems has emerged as a promising solution to optimize energy efficiency without compromising signal accuracy and performance. This study focuses on the design and optimization of DSP algorithms specifically for microcontrollers, aimed at achieving real-time, reliable monitoring for applications such as healthcare, environmental sensing, and IoT devices. The research highlights the system's ability to handle complex signal processing tasks while maintaining low power consumption, ensuring long-term, continuous operation in remote or battery-powered environments. The system employs various techniques, including advanced power management strategies such as dynamic voltage scaling (DVS) and adaptive voltage scaling (AVS), along with lightweight AI algorithms and model pruning, to minimize energy use. The results show significant reductions in power consumption compared to traditional systems, particularly during continuous monitoring tasks. Despite this, the optimized DSP algorithms maintain or even enhance signal accuracy, ensuring that critical monitoring data remains reliable. Furthermore, the system demonstrates robust performance and reliability over extended periods, making it suitable for long-term deployment in critical applications such as wearable medical devices and industrial sensors. This research provides a foundation for the development of future low power embedded systems, emphasizing the importance of DSP-aware optimization in achieving energy-efficient and high-performance monitoring. Future improvements may include advanced AI-driven power optimization techniques, enhanced scalability, and cross-domain interoperability, ensuring that these systems can be effectively deployed across diverse applications, from healthcare to environmental monitoring.

This research explores the impact of Cache Aware optimizations on signal processing pipelines in High Throughput computing systems. The growing demand for efficient memory management in modern computing systems, especially for data-intensive applications such as artificial intelligence (AI) and multimedia processing, necessitates the development of optimized memory hierarchies. Traditional memory systems often suffer from memory bottlenecks, significantly reducing the performance of these systems. This study investigates how memory hierarchy optimizations, particularly cache line aware optimization, dependency-aware caching, and adaptive cache replacement algorithms, can mitigate these challenges and improve system performance. Through analytical modeling and experimental benchmarking, this work evaluates various memory hierarchy configurations, including processing-in-memory (PIM) and three-dimensional integrated circuits (3D ICs), comparing them to conventional systems. The results demonstrate that Cache Aware optimizations lead to a reduction in memory access latency by up to 30%, while throughput improved by up to 40%. Additionally, cache hit rates increased by 25%, and energy consumption was reduced by up to 20%, highlighting the effectiveness of optimized memory management. The research contributes to the field by providing valuable insights into the design and implementation of efficient signal processing pipelines. It also identifies key challenges, including the need for dynamic occupancy mechanisms and DAG-aware scheduling algorithms, and suggests potential areas for future research, such as the exploration of collaborative caching approaches and further optimization of cache-adaptive algorithms. This work lays the foundation for more efficient, high-performance computing systems that can handle large datasets and complex tasks in real-time applications.

The management of organic kitchen waste from hotels and restaurants is an increasingly complex environmental problem, especially in tourist areas such as Pangandaran Regency. One innovation in sustainable organic waste management is the utilization of Black Soldier Fly (BSF) larvae through a bioconversion process to produce fresh maggots as high-protein animal feed. This study aims to analyze the effect of the use of BSF larvae in processing organic kitchen waste on the achievement of fresh maggot bioconversion production at the Sahate Main Waste Bank (BSI) in Pangandaran Regency. This study used a causal research design with a quantitative approach. Data collection methods were carried out through field observations and interviews, with data analyzed using normality tests, t-tests, and simple linear regression using SPSS software. During the 10-week research period, the total processed organic kitchen waste reached 44,969 kg, with a fresh maggot production of 5,644 kg. The analysis results showed that the use of BSF larvae had a positive and significant effect on the achievement of fresh maggot bioconversion production, as evidenced by a significance value of 0.001 (<0.05) and a calculated t-value of 8.793 (>2.306). The research findings also indicated that the scale and quality of kitchen organic waste play a significant role in increasing the effectiveness of bioconversion. This study concluded that the use of BSF larvae is an effective and sustainable method in processing kitchen organic waste and has the potential to support waste reduction while meeting the need for high-protein animal feed.

This study aims to develop a Student Progress Assessment Information System for PAUD Laskar Pelangi as a solution to various problems that arise in the academic data management process, which was previously carried out manually. The management of student grades, student data, class data, and subject data often encountered obstacles such as delays, recording errors, difficulty in searching for data, and inaccuracies in report preparation. To overcome these issues, a web-based information system was developed to manage all data in an integrated and more efficient manner. The system development method used the Website Development Life Cycle approach, and the application was implemented using the PHP programming language. The system is designed to enable the admin to manage student data, class data, subject data, grades, and automatically generate student grade reports. Database implementation was carried out to ensure that data is stored properly and can be accessed easily. Functional testing was conducted to ensure that all features operate according to user needs. The results of the study show that the developed information system is capable of improving administrative efficiency, accelerating the grade processing workflow, minimizing recording errors, and generating student grade reports quickly and accurately. Therefore, this system provides significant benefits for PAUD Laskar Pelangi in improving the effectiveness of academic administrative management and can be further developed according to the school's needs.

Hypertension in the elderly requires long-term treatment to prevent cardiovascular consequences. Adherence to antihypertensive medication is crucial for blood pressure management. Adherence to antihypertensive medication is a crucial aspect in hypertension management. Poor adherence can lead to uncontrolled blood pressure, thereby increasing the risk of cardiovascular problems, including stroke, myocardial infarction, and heart failure. This study aims to determine the correlation between adherence to antihypertensive medication and blood pressure in the elderly at the Ronggo Husada Primary Inpatient Clinic in Malang. This study used a cross-sectional design. The cohort consisted of 52 geriatric patients with hypertension who consistently visited the Ronggo Husada Primary Inpatient Clinic in Malang. The sample consisted of 40 patients. The sampling method used was purposive sampling. Research factors included medication adherence and blood pressure. Data collection was conducted through a questionnaire. This study was conducted at the Ronggo Husada Primary Inpatient Clinic in Malang on November 6, 2025. Data processing used the Chi-square test. The analysis included univariate and bivariate analyses, using the Chi-square test. The results showed that more than 50% of elderly participants demonstrated moderate adherence to antihypertensive medication (18 individuals (45%). Nearly 50% of elderly participants suffered from stage I hypertension (14 individuals (35%), and stage II hypertension (11 individuals (27.5%). Statistical analysis using the Chi-square test showed a significant correlation between adherence to antihypertensive medication and blood pressure in the elderly, with a p-value of 0.000, which is below the alpha threshold of 0.05 (5%). Elderly individuals who demonstrated strong adherence had better blood pressure regulation compared to those with poor adherence. These results emphasize the importance of adherence to therapy in the management of hypertension in the elderly.    

The public complaint system is an important facility for the police institution to improve the quality of public services, particularly in receiving, processing, and following up on various reports and complaints from the public. However, in practice, the complaint process is still largely carried out manually, such as through face-to-face interactions, paper-based forms, or direct communication that is not well documented. This gives rise to problems such as delays in handling, difficulties in tracking the history and status of reports, low work efficiency of officers, and limited transparency of information for reporters. These problems ultimately affect the level of public trust in the police institution. This study aims to design a web-based public complaint information system that supports a more structured, measurable, and transparent complaint management process. This system is designed by implementing the Kanban method as a workflow management tool that allows for prioritization, monitoring the handling process, and tracking the status of complaints in real time. The research methods include a literature review related to information systems and the Kanban method, direct observation of the existing complaint process, interviews with stakeholders, system requirements analysis, modeling using UML (Use Case Diagram, Activity Diagram, Sequence Diagram), and database design using Entity Relationship Diagram (ERD). The results of this research resulted in the design of a web-based public complaints information system that can facilitate complaint data recording, report management and status updates, task assignments to officers, performance monitoring, and complaint status notification to the public.

This research investigates the development of IT-based Automatic Identification System (AIS) data surveillance models supporting maritime safety through integration of advanced information technology, maritime engineering principles, and human factors optimization. AIS technology generates vast real-time vessel movement data creating unprecedented opportunities for safety enhancement through systematic surveillance, collision risk detection, traffic pattern analysis, and incident prevention, yet effectiveness depends critically on intelligent data processing algorithms, reliable IT infrastructure, and competent personnel capable of interpreting surveillance outputs and taking appropriate actions. Through qualitative analysis involving maritime safety authorities, vessel traffic service (VTS) operators, port authorities, marine engineers, IT specialists, data scientists, and maritime training institutions, this study examines how IT-based surveillance models incorporating pattern recognition, anomaly detection, predictive analytics, and crew-centered interfaces can transform maritime safety management from reactive incident response toward proactive risk prevention. Results demonstrate that intelligent AIS surveillance can identify 75-90% of high-risk situations 15-45 minutes before critical events, reduce collision risks by 60-80%, improve traffic management efficiency by 35-55%, and enhance crew situational awareness by 45-65% when integrated with appropriate training programs developing personnel competencies in data interpretation, system operation, and coordinated response. Key implementation challenges include data quality and completeness issues, computational infrastructure requirements, algorithm development complexity, personnel competency gaps requiring substantial training investments, organizational coordination barriers, and privacy/security concerns. Findings reveal that successful AIS surveillance implementation requires holistic sociotechnical approaches integrating IT systems engineering, maritime domain expertise, and human capability development through coordinated design, deployment, and training strategies. This research contributes to maritime safety literature by providing integrated frameworks for IT-based surveillance systems incorporating technical capabilities, operational requirements, and human factors supporting evidence-based safety management.

This study addresses the urgent need for digital transformation at Percetakan Rajawali, a printing company currently reliant on manual order processes, which leads to service delays, recording errors, and lack of transparency. The research aims to design and implement a web-based online ordering information system to facilitate customer orders, accelerate confirmation and order tracking, and improve the efficiency of order data management. Adopting the linear and sequential Waterfall methodology, the study progressed through stages of system analysis, design, coding, testing, and maintenance. The key findings include the successful design of a comprehensive system featuring product catalogs, an online ordering module with real-time cost calculation, integrated payment management, and an admin dashboard for order processing. The system is designed with user-centered and secure principles, expected to significantly enhance operational efficiency, service speed, and customer satisfaction by providing an integrated, transparent, and accessible online ordering platform.