Objective Assessment Of Performance Research Articles

WP6.14 - Automated analysis of operative video in surgical training: Scoping review

Abstract Aims There is an increasing availability of operative video for use in surgical training. Emerging technologies can now assess video footage and automatically generate metrics that could be harnessed to improve the assessment of operative performance. This scoping review explores the current application of automated video analytics in surgical training. Methods PubMed, Scopus, Web of Science and the Cochrane database were searched to identify studies which applied automated video analytics to trainee-performed operations. Search terms included ‘trainee’, ‘video analytics’ and ‘education’. Two reviewers independently screened and extracted data on the methods of analysis, metrics generated and application to training. The Preferred Reporting Items for Systematic Reviews and Meta-analyses extension for Scoping Review (PRISMA-ScR) guidelines were followed. Results Thirteen studies were identified. Computer vision tracking was the most common method of video analysis. Metrics were generated for processes (e.g. movement of instruments) and outcomes (e.g. intraoperative phase duration). Two studies generated metrics to assess critical safety elements (e.g. critical view of safety in laparoscopic cholecystectomy). Automated metrics were able to differentiate between different skill levels (e.g. consultant vs. trainee) and correlated with traditional methods of assessment. There was a lack of longitudinal application to training and only one qualitative study reported the experience of trainees using automated video analytics. Conclusion Automated video analytics is an emerging field which provides an objective assessment of operative performance. Gathering evidence to demonstrate the impact of long-term use on training outcomes is a priority for future research.

The Benchmarking Exercise Programme for Older People (BEPOP): Design, Results and Recommendations from The First Wave of Data Collection.

The Benchmarking Exercise Programme for Older People (BEPOP) service improvement project seeks to determine and promote the exercise training characteristics associated with positive outcomes for resistance exercise for older people living with, or at risk of, sarcopenia or physical frailty. Mixed-methods service improvement project. Ten UK National Health Service physiotherapist-led therapy services delivering exercise interventions for older people submitted anonymized data for up to 20 consecutive patients. A multidisciplinary expert panel generated a report and recommendations with site-specific benchmarking data and feedback. In parallel, participating physiotherapy team members were interviewed to elicit feedback on BEPOP rationale, processes and perceived value. Data from 188 patients were included, mean age 80 years (range 60-101). 115 (61%) received objective assessment of strength-based physical performance. Bodyweight exercises (173 [92%]) and resistance bands (49 [26%]) were the commonest exercise modalities. Exercises progressed predominantly through increased repetitions (163 [87%]) rather than increased load. 50 (30%) had no reassessment of outcomes; only 68 (41%) were signposted to follow-on exercise services. Staff interviews identified themes around knowledge, diagnosis, data collection and practice reflection. BEPOP was feasible to deliver and generated actionable insights for service improvement via improved diagnosis, measurement and progression of resistance exercise.

Best Sales Selection Using a Combination of Reciprocal Rank Weighting Method and Multi-Attribute Utility Theory

The best salespeople are individuals who are not only able to meet or exceed sales targets, but also demonstrate exceptional skills in building relationships with customers, understanding their needs, and offering effective solutions. The problem of selecting the best salespeople often involves the challenge of an objective and fair assessment, as diverse evaluation criteria can affect the final result. One of the main obstacles is the presence of subjectivity in judgment, which can arise from personal preferences or pressure to maintain good relationships. This study aims to implement a sales performance evaluation model that combines the Reciprocal Rank Weighting and Multi-Attribute Utility Theory (MAUT) methods to obtain a more accurate and objective assessment of sales performance. This research contributes to the management literature and decision support systems by offering a new approach in sales performance evaluation. This opens up opportunities for further research and practical applications in the field of performance evaluation and salesforce management. Based on the final score calculated using the MAUT method, the salesperson rank from best to lowest is as follows: Sales 7 is ranked top with a value of 0.646, indicating the best overall performance. Sales 3 followed in second place with a value of 0.6125, followed by Sales 9 with a value of 0.5604 in third position.

Independent Fiscal Institutions as a Part of European Traditions

Fiscal councils are independent public institutions aiming to promote the sustainability of public finances through various functions, such as assessing budgetary plans and their implementation or preparing budgetary and macroeconomic forecasts. Thus, synthesising the attempts made in the literature to define the concept of independent fiscal institutions, it should be emphasised that by providing an independent, impartial and objective assessment of fiscal policy and performance, they promote sound fiscal decisions and sustainable public finances. Independent fiscal institutions also reduce information asymmetries and promote transparency in public finances, thereby raising the reputation and electoral costs for governments that pursue imprudent policies or breach key commitments. As such, they can support contemporary states in addressing the tendency to increase spending and deficits. To better understand the contemporary factual and normative state of the analysed dissertation topic, it is worth tracing, even in some summary, the process of emergence and the directions of development and evolution of independent fiscal institutions. Although independent fiscal institutions are relatively new bodies in the political architecture of the vast majority of the EU Member States, a small group of countries pioneered the creation of these institutions. It is necessary to trace the systemic solutions that have determined the legal and constitutional status of fiscal institutions in recent decades in order to understand the factors that have led to their reassessment.

THE ROLE OF HUMAN RESOURCE MANAGEMENT IN IMPROVING THE PERFORMANCE OF LOMBO VILLAGE APPARATUS, SIDENRENG RAPPANG DISTRICT

This research aims to identify the role of human resource management (HRM) in improving the performance of village officials in Lombo Village, Sidenreng Rappang Regency. The research method used is a qualitative approach with descriptive case studies. Primary data was collected through interviews with village government officials, while secondary data was obtained from various sources such as websites, social media, books, and presentation materials. Literature reviews on HRM and performance were used as the basis for data analysis. The research findings indicate that HRM plays a crucial role in enhancing the performance of village officials. Careful selection of village officials involving community participation, employee development through training and education, and providing fair and adequate compensation are some key aspects identified. Based on the research findings, it is recommended to continue improving the selection process of village officials with greater precision and transparency, continuing investment in employee development, implementing periodic and objective performance assessment systems, and reviewing and updating existing compensation systems. It is hoped that the implementation of these recommendations will enhance the effectiveness of HRM at the village level, which in turn will contribute to improving the performance of village officials and village development overall.

Use of optical see-through head-mounted devices in dentistry - a scoping review.

The aim of this scoping review was to identify the scientific evidence related to the utilization of Optical See- Through Head-Mounted Display (OST-HMD) in dentistry, and to determine future research needs. The research question was formulated using the "Population" (P), "Concept" (Cpt), and "Context" (Cxt) framework for scoping reviews. Existing literature was designated as P, OST-HMD as Cpt, and Dentistry as Cxt. An electronic search was conducted in PubMed, Embase, Web of Science, and CENTRAL. Two authors independently screened titles and abstracts and performed the full-text analysis. The search identified 286 titles after removing duplicates. Nine studies, involving 138 participants and 1760 performed tests were included in this scoping review. Seven of the articles were preclinical studies, one was a survey, and one was a clinical trial. The included manuscripts covered various dental fields: three studies in orthodontics, two in oral surgery, two in conservative dentistry, one in general dentistry, and the remaining one in prosthodontics. Five articles focused on educational purposes. Two brands of OST-HMD were used: in eight studies HoloLens Microsoft was used, while Google Glass was utilized in one article. The overall number of included studies was low; therefore, the available data from this review cannot yet support an evidence-based recommendation for the clinical use of OST-HMDs. However, the existing preclinical data indicate a significant capacity for clinical and educational implementation. Further adoption of these devices will facilitate more reliable and objective quality and performance assessments, as well as more direct comparisons with conventional workflows. More clinical studies must be conducted to substantiate the potential benefits and reliability for patients and clinicians.

“Seeing inside out”: revealing the effectiveness of otoscopy training in virtual reality enhanced practical exams - a randomized controlled trial

BackgroundThe study aimed to assess the impact of different training modalities on otoscopy performance during a practical exam using a high-fidelity simulator and to determine if objective evaluation of otoscopy is feasible using a simulator that records insertion depth and tympanic membrane coverage.MethodsParticipants were assigned to one of four groups: control and three intervention groups with varying training approaches. Participants received otoscopy training and then were assessed through a practical exam on a high-fidelity simulator that uses virtual reality to visualize the ear canal and middle ear. Performance was evaluated using a modified Objective Structured Assessment of Technical Skills checklist and Integrated Procedural Performance Instrument checklist. Insertion depth, tympanic membrane coverage, and correct diagnosis were recorded. Data were tested for normal distribution using the Shapiro-Wilk test. One-way ANOVA and, for non-normally distributed data, Kruskal-Wallis test combined with Dunn’s test for multiple comparisons were used. Interrater reliability was assessed using Cohen’s κ and Intraclass correlation coefficient.ResultsAll groups rated their training sessions positively. Performance on the OSATS checklist was similar among groups. IPPI scores indicated comparable patient handling skills. The feedback group examined larger tympanic membrane areas and had higher rates of correct diagnosis. The correct insertion depth was rarely achieved by all participants. Interrater reliability for OSATS was strong. IPPI reliability showed good correlation.ConclusionRegardless of training modality, participants perceived learning improvement and skill acquisition. Feedback improved examination performance, indicating simulator-guided training enhances skills. High-fidelity simulator usage in exams provides an objective assessment of performance.

Machine learning in employee performance evaluation: A HRM perspective

This research explores how machine learning, the tech whiz kid, is shaking up the traditional HR world of employee reviews. Companies are hungry for better ways to assess their workforce, and machine learning comes to the table with a buffet of data analysis tools. Productivity metrics, project wins, even that qualitative feedback, all get crunched by these algorithms to dish up comprehensive and objective performance pictures. This research dives into both the pros and cons of bringing this tech titan into HR, aiming to make evaluations not just accurate, but also fair and impactful. It's about finding the sweet spot where technology and human understanding join forces to power up performance reviews for the modern workplace. In the ever-evolving dance of the modern workplace, where performance reigns supreme, the old waltz of subjective evaluations stumbles toward obsolescence. This study steps into the spotlight, exploring the transformative potential of machine learning as the new lead partner in HRM, specifically for crafting nuanced and objective performance assessments. Imagine algorithms like virtuoso musicians, weaving together diverse data melodies – productivity's staccato riffs, project outcomes' triumphant crescendos, even the subtle whispers of qualitative feedback – to paint a vibrant portrait of individual contributions. But this data-driven tango isn't without its tricky steps. This research scrutinizes both the grace and potential missteps of machine learning in HRM, aiming to illuminate a path toward optimized performance evaluations that are not only accurate but also fair and effective. By bridging the gap between technology and human understanding, this study offers a roadmap for organizations waltzing towards a future where performance appraisals unlock the full potential of their workforce.

New generation of passenger vehicles: FCV or HEV?

This paper compares the performance and parameter characteristics of Fuel Cell Vehicles (FCV) and Hybrid Electric Vehicles (HEV) with a view towards an objective assessment of the relative performance of these vehicles. Firstly, the main characteristics of hybrid electric vehicles (HEVs) as low emission vehicles (LEVs), including presumed high efficiency is considered. Then, comparisons for well-to-wheels emissions for various vehicles are presented. Well-to-wheels efficiencies, emissions, and fuel economy are also compared for FCVs and HEVs. In addition, other issues like battery types for HEVs and HFCVs are explored in this paper. The potential control strategies for FCVs and HEVs will be discussed and compared. In both FCVs and HEVs, best control strategies need to rely on predicting the driver command, which presents a particularly challenging opportunity for further development. Finally, this paper gives the comparison of total costs for FCVs and HEVs.

NextGen Training for Medical First Responders: Advancing Mass-Casualty Incident Preparedness through Mixed Reality Technology

Mixed reality (MR) technology has the potential to enhance the disaster preparedness of medical first responders in mass-casualty incidents through new training methods. In this manuscript, we present an MR training solution based on requirements collected from experienced medical first responders and technical experts, regular end-user feedback received through the iterative design process used to develop a prototype and feedback from two initial field trials. We discuss key features essential for an effective MR training system, including flexible scenario design, added realism through patient simulator manikins and objective performance assessment. Current technological challenges such as the responsiveness of avatars and the complexity of smart scenario control are also addressed, along with the future potential for integrating artificial intelligence. Furthermore, an advanced analytics and statistics tool that incorporates complex data integration, machine learning for data analysis and visualization techniques for performance evaluation is presented.

Analisa Penerapan Metode WASPAS Dalam Sistem Pendukung Keputusan Penilaian Kinerja Checker Terbaik Pada Kereta Api

Performance assessment in a work environment involving monitoring and checking activities plays an important role in maintaining quality and efficiency. This study analyzes the application of the Weighted Aggregated Sum Product Assessment (WASPAS) method as part of the Decision Support System in the process of evaluating the performance of the best checkers. The WASPAS method is used to address the complexity of measuring checker performance by considering various relevant criteria. This article describes the steps for implementing the WASPAS method and its integration into a decision support system. The results of the analysis show that this approach can help improve accuracy and objectivity in performance appraisal, providing a strong basis for management to make informed decisions regarding the selection of the best checkers. In this study, checker performance data were collected and analyzed carefully. The results of the analysis provide insight into a more accurate and objective checker performance assessment. The integration of the WASPAS method into DSS helps managers or decision makers overcome subjectivity in the assessment process, as well as avoid potential bias that could affect the final result. From the results of the study, it can be concluded that the application of the WASPAS method in SPK can increase the validity and reliability of checker performance assessments. This approach allows managers to carry out a more comprehensive and balanced evaluation of every aspect of checker performance. However, careful selection of criterion weights and sensitivity to changes in weights is required to ensure optimal results. Thus, this study provides a more in-depth look at how the WASPAS method can be applied in the DSS context for assessing the performance of the best checkers. The implications can be felt in making decisions that are more informed and accurate in managing individual performance in the work environment. From the results of calculations that have been carried out from 7 alternative Checker data using the WASPAS Method, the best alternative, namely the fifth alternative with the name Riski Sudrajat, obtains the highest score, namely 0.939. Therefore the fifth alternative was chosen as the Checker with the best performance on the Railway.

The Quartet Data Portal: integration of community-wide resources for multiomics quality control.

The Quartet Data Portal facilitates community access to well-characterized reference materials, reference datasets, and related resources established based on a family of four individuals with identical twins from the Quartet Project. Users can request DNA, RNA, protein, and metabolite reference materials, as well as datasets generated across omics, platforms, labs, protocols, and batches. Reproducible analysis tools allow for objective performance assessment of user-submitted data, while interactive visualization tools support rapid exploration of reference datasets. A closed-loop "distribution-collection-evaluation-integration" workflow enables updates and integration of community-contributed multiomics data. Ultimately, this portal helps promote the advancement of reference datasets and multiomics quality control.

Transformasi Digital terhadap Sumber Daya Manusia sebagai Upaya Meningkatkan Kapabilitas Perusahaan

Technological and industrial developments require qualified human resources in every company, strong companies are able to survive all forms of change and challenges of the times. Currently, companies must be able to anticipate and adapt to technological developments and one of the most important assets of a company is its human resources because this affects the survival of the company. The results of the literature review show that human resources have a significant influence on digital transformation, especially through increasing company capabilities. By using an HR quality assessment based on knowledge, skills, expertise and behavior, organizations can accurately determine how to improve the capabilities of each employee. To support objective performance assessment, a balance of qualified human resources is needed, and resource support will facilitate objective performance assessment. In the digital human resource transformation process, the optimization of a company's human resource capacity is measured through the knowledge, skills, expertise and behavior of the company's employees. By paying attention to the impact of performance, businesses can design strategies to achieve goals supported by digital transformation. This research presents an objective view of how to improve a company's human resource capabilities through digital transformation. Focusing on the digital era, this article provides knowledge about the importance of more accurate and effective decision making in human resource management. The aim of this article is to provide an effective combination to improve a company's HR capabilities during this complex digital transformation.

Enhanced Learning Using Digital Recordings with Integrated Standardized Patient Examinations (ISPEs) in Physical Therapy Education: A Qualitative Pilot Study

(1) Background: Integrated standardized patient examinations (ISPEs) allow students to demonstrate competence with curricular learning and communication. Digital recordings of these experiences provide an objective permanent record, allowing students to review and improve their performance. Although recordings have been utilized as a tool in physical therapy education, no studies have described the impact of reviewing recordings of ISPE. This qualitative pilot study aimed to investigate student perceptions and learning after reviewing their recordings of ISPE. (2) Methods: Second-year Doctor of Physical Therapy students (n= 23) participated in the study by completing an anonymous online survey after reviewing their recordings from three ISPEs. Thematic analysis was used to identify codes and central themes from the survey data. (3) Results: The results showed that 95.6% of students found the video review process beneficial. Five themes emerged: (i) digital recordings provide an objective performance assessment, (ii) approaches to self-review vary, (iii) it provides an opportunity for growth, (iv) a holistic review is possible, and (v) students need structure and guidance in the process. (4) Conclusions: Study findings indicate that a review of the recordings of ISPEs facilitates the development of clinical skills for physical therapy students. Implementing an explicit framework for reviewing the recordings may enhance the process and facilitate further promotion of reflection-on-action.

828 Real-Time Artificial Intelligence Instruction in Comparison to Human Expert Instruction in Surgical Technical Skills Teaching – a Randomized Controlled Trial

Abstract Aim Surgical simulators equipped with artificial intelligence (AI) systems provide risk-free training on realistically simulated complex patient cases, objective performance assessment, and tailored error avoidance feedback. This study compared the efficacy of real-time AI instruction with human instructor-mediated training in surgical technical skills teaching. Method Medical students (n = 98) were randomly allocated into three feedback groups. Everyone repeated a virtual brain tumour resection five times. The first repetition was done without receiving feedback to assess their baseline performance. Students in Group 1 did not receive real-time feedback, and they were shown visual feedback only after each procedure based on expert benchmarks. Students in Group 2 were instructed in real-time by the AI system. After each task, the students were shown their error-video clips generated by this system alongside the expert-level demonstrations relating to each error. Students in Group 3 were instructed by human instructors during the tasks. After each task, instructors summarized the areas of improvement and demonstrated correction techniques. All participant data was scored using a composite-score. Statistical analysis was conducted to compare learning from the first to the last task repetition. Results Students in Group 2 and Group 3 significantly improved in the performance score by the third and second repetition, respectively (p<0.01, p = 0.01) compared to their baseline performance. Students in Group 2 achieved significantly higher scores than those in Group 3 in the fifth repetition (p<0.01). Conclusions Artificial intelligence systems may provide competency-based curricula in surgical training with efficient surgical technical skills teaching methodologies.

Periodontal disease and sports performance: a systematic review and meta-analysis

ABSTRACT This systematic review and meta-analysis aimed to assess the association between athletic performance and periodontal disease (PD). Observational studies published up to April 2022 were searched in online databases (PubMed, Scopus, Web of Science, The Cochrane Library, LILACS, OpenGrey, and Google Scholar). PECO statement focused on studies with professional athletes (Participants) with PD (Exposition) compared to those with healthy periodontium (Comparison) and its effects on sports performance (outcome). Searches were conducted according to the PRISMA guidelines (registration protocol: 10.17605/OSF.IO/7ADH6) and risk of bias evaluation according to the Joanna Briggs Institute checklist. A total of 793 references were retrieved, of which eight were considered eligible. Two studies did not show an association between clinical PD parameters and performance. A meta-analysis with 396 participants suggested a relationship between PD and self-reported reduction in sports performance (odds ratio [OR] = 1.55; 95% confidence interval [CI] 1.04–2.31; p = 0.03; I2 = 0%) with moderate quality of evidence accordingly GRADE analysis. Despite the differences in performance evaluations between studies, PD was associated with reduced self-reported sports performance. Additional studies assessing confounding factors and objective assessment of PD and performance are needed to clarify the real effect of both conditions.

Fast soft-tissue deformations coupled with mixed reality toward the next-generation childbirth training simulator.

High-quality gynecologist and midwife training is particularly relevant to limit medical complications and reduce maternal and fetal morbimortalities. Physical and virtual training simulators have been developed. However, physical simulators offer a simplified model and limited visualization of the childbirth process, while virtual simulators still lack a realistic interactive system and are generally limited to imposed predefined gestures. Objective performance assessment based on the simulation numerical outcomes is still not at hand. In the present work, we developeda virtual childbirth simulator based on the Mixed-Reality (MR) technology coupled with HyperMSM (Hyperelastic Mass-Spring Model) formulation for real-time soft-tissue deformations, providing intuitive user interaction with the virtual physicalmodel and a quantitative assessment to enhance the trainee's gestures. Microsoft HoloLens 2 was used and the MR simulator was developed including a complete holographic obstetric model. A maternalpelvis system modelof a pregnant woman (including the pelvis bone, the pelvic floor muscles, the birth canal, the uterus, and the fetus) was generated, and HyperMSM formulation was applied to simulate the soft tissue deformations. To induce realistic reactions to free gestures, the virtual replicas of the user's detected hands were introduced into the physical simulation and were associated with a contact model between the hands and the HyperMSM models. The gesture of pulling any part of the virtual models with two hands was also implemented. Two labor scenarios were implemented within the MR childbirth simulator: physiological labor and forceps-assisted labor. A scoring system for the performance assessment was included based on real-time biofeedback. As results,our developedMR simulation application was developed in real-time with a refresh rate of 30-50 FPS on the HoloLens device. HyperMSM model was validated using FE outcomes: high correlation coefficients of [0.97-0.99] and weighted root mean square relative errors of 9.8% and 8.3% were obtained for the soft tissue displacement and energy density respectively. Experimental tests showed that the implemented free-user interaction system allows to apply the correct maneuvers (in particular the "Viennese" maneuvers) during the labor process, and is capable to induce a truthful reaction of the model. Obtainedresults confirm alsothe possibility of using our simulation's outcomes to objectively evaluate the trainee's performance with a reduction of 39% for the perineal strain energy density and 5.6mm for the vertical vaginal diameter when the "Viennese" technique is applied. This present study provides, for the first time, an interactive childbirth simulator with an MR immersive experience with direct free-hand interaction, real-time soft-tissue deformation feedback, and an objective performance assessment based on numerical outcomes. This offers a new perspective for enhancing next-generation training-based obstetric teaching. The used models of the maternal pelvic system and the fetus will be enhanced, and more delivery scenarios (e.g. instrumental delivery, breech delivery, shoulder dystocia) will be designed and integrated. The third stage of labor will be also investigated to include the delivery of the placenta, and the clamping and cutting of the umbilical cord.

Financial Analysis and Reporting of Construction Enterprise: An analysis of CRH plc

A financial analysis statement is a report that examines a company's financial health and performance in detail. The report will often contain a review of the business's financial reports, such as the balance sheet, income statement, and cash flow statement, in addition to other financial measures and ratios used to assess the company's financial status. It is a vital tool since it may assist managers in making decisions, give an objective assessment of the company's performance, permit comparison with industry benchmarks, and aid in regulatory compliance. Real solutions to human problems are provided through construction enterprises. Many projects are executed by multiple contractors, and a single project may include a variety of techniques and methods. It is classified as an asset-heavy business, which may offer distinct advantages over other types of enterprises. CRH plc is a multinational conglomerate of diverse construction materials companies headquartered in Dublin, Ireland. It makes and distributes a wide range of building goods. It is a traditional representative of a construction enterprise. We may use it as a model by studying its financial performance.

ANALYSIS OF THE LARGEST BANK OF KAZAKHSTAN – JSC «HALYK BANK OF KAZAKHSTAN»

Banks are an integral part of the modern monetary economy, their activities are related to the needs of reproduction. Banks form the basis of the market mechanism by which the country's economy operates. Commercial banks are designed to regulate the flow of all cash flows, primarily credit, to help ensure the most rational use of society's financial resources and the flow of capital to those sectors of the country's economy where the return on investment will be maximum. Determining the real state of the Bank is of great importance not only for the Bank itself, but also for numerous shareholders and depositors. They should be confident in the financial well-being of a particular Bank, the development of which brings them real benefits.Modern economic analysis is the basis for an objective assessment of the Bank's performance and management decision - making. In this regard, there is a need for in-depth research in the field of banking, as well as understanding of domestic and foreign experience.This article provides an analysis of the financial condition of Halyk Bank of Kazakhstan JSC: an assessment of the main financial indicators of the Bank, an analysis and assessment of changes in the capital of Halyk Bank of Kazakhstan JSC. In addition, the analysis of changes in customer funds and the analysis of changes in the Bank's obligations was carried out. The article also considers the analysis of the Bank's loan portfolio and its share in the total loan portfolio of STB, considers and pranalizes the income and expenses of Halyk Bank of Kazakhstan JSC.

A Decision Support System For The Selection Of The Best Employees At CV. Adiguna By Applying The Preferences Selection Index Method

Technological Developments at this time, competition in the business world is getting tougher, to support this, companies must also improve their quality. On CV. Adiguna to increase the resources of his employees in improving the quality of his company is of course supported and influenced by the performance of employees who are competent in their field. Where in CV. Adiguna of Bengkulu City in giving awards to the best employees every year so far it is still done manually, this can certainly increase the enthusiasm of employees at work and always run a business by fulfilling several criteria set by CV Adiguna of Bengkulu City. Therefore to provide an objective assessment of employee performance, a Decision Support System is needed to select the best employees and provide rewards to employees, then to support the above, it is necessary to implement several Decision Support Systems at CV Adiguna of Bengkulu City based on the criteria that have been determined by the management of CV Adiguna of Bengkulu City. Decision support system for selecting the best employees at CV Adiguna of Bengkulu City by applying the Preferences Selection Index method is a desktop-based application that has implemented the Preferences Selection Index (PSI) method. This application can be used to assist in the process of selecting the best employees on CV Adiguna of Bengkulu City uses 5 predetermined criteria, then the assessment of these 5 criteria is processed using the Preferences Selection Index (PSI) method to produce a ranking that will be used to determine the best employee. Based on the results of the tests that have been carried out, it can be concluded that the decision support system for selecting the best employees at CV Adiguna of Bengkulu City by applying the Preferences Selection Index method is able to run well and can overcome data input errors besides that calculations are done manually with those carried out by the application producing the same output.