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Conflict management is a crucial element in organizational management aimed at effectively improving performance. Poorly managed conflicts can lead to decreased productivity, interpersonal tension, and disruptions in achieving organizational goals. However, when managed with the right strategies, conflicts can act as catalysts for innovation, collaboration, and process improvement. This study uses a literature review method to analyze theories and empirical findings on the urgency of conflict management in organizations. The results show that strategies such as open communication, mediation, and routine evaluation play a significant role in transforming conflicts into opportunities. By implementing effective conflict management, organizations can create a harmonious work environment, enhance collaboration among members, and optimize goal achievement.  

Computer vision technology has advanced rapidly and made significant contributions across various fields, including object identification in images. This study aims to develop a computer vision-based system to identify fruit types from images. A machine learning model is applied using a dataset of fruit images to train the system for accurate fruit recognition. The primary processes include data acquisition, image preprocessing, feature extraction, model training, and performance evaluation. The results demonstrate a high level of accuracy in identifying specific fruit types, showcasing the potential of this technology in agricultural and commercial applications.

The reliability of sterilization equipment, such as autoclaves, is essential to ensure patient safety, infection control, and operational continuity in healthcare facilities. Damage or malfunction of autoclaves may disrupt sterilization processes and pose significant risks to medical services. This study aims to develop an expert system for autoclave damage detection using the fuzzy logic method to support faster and more accurate diagnostic decision-making. The proposed system applies fuzzy inference to evaluate the level of damage based on input symptoms provided by users. By handling uncertainty and varying symptom intensities, the fuzzy logic approach enables proportional assessment rather than rigid rule-based classification. The system was designed through knowledge acquisition from technical experts and implemented using fuzzy membership functions and inference rules to determine damage severity levels. Experimental testing was conducted to evaluate system performance and diagnostic accuracy. The results indicate that the expert system successfully generated diagnosis outputs for all tested scenarios, achieving functional diagnostic accuracy within the defined test cases. The system was also able to calculate a quantified damage severity value of 11.6235981% based on the given symptoms, demonstrating its capability to assess damage levels numerically and objectively. Furthermore, the developed system significantly reduces the time required for damage detection compared to manual diagnostic procedures. Automating the evaluation process, it assists electromedical technicians in identifying faults more efficiently and taking preventive or corrective actions promptly. Overall, the implementation of a fuzzy logic-based expert system provides an effective, accurate, and practical solution for improving autoclave maintenance management and supporting healthcare service reliability.

Topic modeling is an integral text mining component, employing diverse algorithms to uncover hidden themes within texts. This study examines the comparative performance of prominent topic modeling techniques on news headlines, which is characterized by brevity and specific linguistic style. Given the corpus originates from a non-native English-speaking country, an additional layer of complexity is introduced to the task. Our research explores the feasibility of employing a committee approach for topic modeling, evaluating the efficacy and challenges of various methods in practical settings. We applied three techniques—Latent Dirichlet Allocation (LDA), Non-negative Matrix Factorization (NMF), and BERTopic—to create models with a fixed number of topics (n=40). These models were then tested on approximately 150,000 news headlines. To assess topic coherence, we utilized Word2Vec, human evaluators, and two large language models. Statistical tests confirmed the significance and impact of our findings. BERTopic demonstrated superior coherence compared to NMF, though slightly, but consistently outperformed NMF and LDA according to human and LLM evaluations. The notable disparity in LDA's performance relative to BERTopic and NMF underscores the importance of carefully selecting a topic modeling technique, as the choice can significantly influence the outcome of the analysis.

This research aims to determine the influence of the use of E-commerce, and accounting information systems and accounting knowledge, on the performance of SMEs in Bandar Lampung City with 53 respondents selected using purposive sampling techniques. Hypothesis testing was carried out using multiple linear regression analysis with the help of SPSS version 26 software. The research results showed that the use of E-commerce, accounting information systems and accounting knowledge partially had a positive and significant effect on the performance of Small and Medium Enterprises in Bandar Lampung City.

This study presents the development and evaluation of an automatic passenger counting system for public buses using the YOLOv8 algorithm based on Convolutional Neural Networks (CNN). Accurate passenger counting plays a crucial role in optimizing public transportation operations, as it enables effective capacity management, reduces operational costs, and improves overall passenger comfort. Conventional manual counting methods are often inefficient, time-consuming, and prone to human error, particularly in high-density urban transportation environments. Therefore, an automated and intelligent solution is required to support real-time monitoring and operational decision-making. The proposed system employs deep learning-based object detection to identify and count passengers from video streams captured by cameras installed inside buses. Two camera positions, namely front and rear views, were evaluated to assess system performance under different visual conditions. The experimental results show that the system achieves high detection accuracy in the front camera view, with a confidence score of 0.82, indicating reliable performance in scenarios with minimal object occlusion. In contrast, the rear camera view demonstrates slightly lower accuracy, with a confidence score of 0.76, mainly due to increased object overlap and variations in lighting conditions. These findings emphasize the importance of appropriate camera placement and environmental consideration in improving detection reliability. In addition, the implementation of the proposed system enables real-time monitoring of passenger flow, which supports dynamic scheduling, demand-based route planning, and efficient fleet management. Accurate passenger data allows transportation operators to optimize service allocation, reduce congestion, and enhance overall service quality. Overall, this study contributes to the development of intelligent transportation systems by demonstrating the practical applicability of deep learning-based passenger counting solutions. The proposed approach offers strong potential for real-world deployment in smart city environments, supporting the creation of more sustainable, efficient, and passenger-oriented public transportation services.

The Effect of Reward and Work Motivation on Employee Performance at the South Sulawesi Agricultural Instrument Standardization Agency. Thesis Management Study Program of the Indonesian Institute of Education Management (STIM-LPI) Makassar which is supervised by Drs. H. Andi, Saharuddin, MM. and Hasiah, S. E., M.M.This study aims to determine the effect of rewards (Reward) and Work Motivation on Employee performance. The object of this research is the South Sulawesi Agricultural Instrument Standardization Agency. The type of research used is quantitative research by distributing questionnaires via google from. Sampling using saturated sample technique. The results of this study indicate that the partial test Award (Reward) has a significant effect of 0.000 or is below 0.05 while Work Motivation also has a strong influence on Employee Performance but when compared between Award and Work Motivation.  

Financial consolidation has become a crucial strategy for multinational companies in addressing increasingly intense global competition. It is often employed as a primary approach to expand market reach and drive corporate growth, ultimately affecting liquidity, equity-earning based measures, and profitability. This study specifically examines the impact of consolidation on a company's liquidity, equity-earning based metrics, and profitability using financial ratio analysis, including Current Ratio (CR), Earnings Per Share (EPS), and Net Profit Margin (NPM) as key indicators. Adopting a quantitative approach, the research utilizes secondary data from the financial statements of PT Indofood Sukses Makmur Tbk before and after consolidation in 2023. The methods applied include a comparison of financial statement items pre- and post-consolidation and a literature review relevant to financial performance analysis. The data analysis results reveal that post-consolidation, PT Indofood Sukses Makmur Tbk recorded an increase in liquidity ratio (current ratio) by 15.26%, reaching 1.9171, and an equity-earning based ratio (earnings per share) rise of 53.74% to 0.001309, which positively impacted the company. However, profitability ratio (net profit margin) declined by 22.81% to 0.1028, indicating challenges in cost management and operational efficiency following the consolidation.

This research aims to determine the influence of Fixed Asset Turnover, Current Ratio, and Debt to Equity Ratio on Price to Earnings Ratio at PT. Wijaya Karya Tbk. Period 2012-2023. PT. Wijaya Karya Tbk. Is a construction company listed on the Indonesian Stock Exchange (BEI). This research recommends more efficient management of fixed assets and liquidity to improve company performance, the fixed asset turnover ratio reflects the efficiency of using fixed assets in a company to generate income, the current ratio represents the company's ability to meet short-term obligations, and the debt to equity ratio and shows the company's financial structure and influences the financial risks provided. This research method uses SPSS with the classic assumption test, t test and F test and from this research it results that Fixed Asser Turnover and Current Ratio have a strong influence on the Price to Earnings Ratio and Debt to Equity Ratio which have no influence on the Price to Earnings Ratio, and this research suggests further research by adding other variables to broaden the analysis.

This study deals with the influence of Total Quality Management (TQM) on business performance through competitive advantage. The purpose of this study is to determine how the influence of Total Quality Management on business performance with competitive advantage as a mediating variable on oil palm fruit producers in Lampung Province. The sample taken in this study was 115 heads of oil palm fruit farmer groups in Lampung Province. Sampling using a non-probability sampling method with random sampling techniques. This study uses a quantitative research type with descriptive statistical analysis and inferential statistical analysis. The method used is Partial Least Square (PLS) and uses SmartPLS 4 software. The results of this study indicate that Total Quality Management (TQM) has a positive and significant influence on business performance and competitive advantage on oil palm fruit producers in Lampung Province. Competitive advantage in mediating is not full because its influence is smaller than the direct influence.  

Leadership plays a crucial role in conflict management within educational organizations. Conflicts, whether interpersonal or structural, are inevitable due to differences in backgrounds, interests, and objectives among individuals within the organization. This study aims to analyze the role of leadership in identifying, managing, and effectively resolving conflicts. Using a qualitative descriptive approach, the research explores leadership styles such as transformational and collaborative leadership, which contribute to constructive conflict management. The results of the study indicate that leaders in educational organizations act as mediators, facilitators, and decision-makers capable of addressing conflicts through open and dialogical communication approaches. Furthermore, an inclusive, transparent, and justice-based organizational culture is identified as a key element in preventing future conflicts. Effective conflict management not only resolves issues but also strengthens interpersonal relationships and enhances overall organizational performance.

The practice of nepotism in the employee selection process at Regional Owned Enterprises (BUMD) in North Sumatra, which has an impact on transparency, fairness and organizational effectiveness. BUMDs have an important role in regional economic development, but nepotism practices often damage the integrity of the recruitment process. Through a qualitative approach and case studies, this research reveals that nepotism creates inequality in employee selection, reduces the quality of human resources, and reduces public trust in BUMD. This article also identifies the factors that cause nepotism and offers solutions in the form of selection transparency, anti-nepotism policies, independent supervision, and outreach to build a culture of meritocracy in BUMD. By overcoming nepotism, BUMD is expected to be able to create a fair and professional recruitment system, thereby supporting the achievement of optimal performance.

This research aims to design an information system for scheduling incoming and outgoing letters at the Asahan District Education Office. Currently, the process of managing letters is still done manually by writing them into a ledger which is inefficient in terms of time and energy. This research uses qualitative methods with data collection techniques through observation, interviews and literature study. The system was designed using the PHP programming language and Unified Modeling Language (UML) for system modeling. The research results show that the designed information system can provide a solution to the problem of managing letters manually by making the data management process easier and faster. This system includes incoming and outgoing mail management features, user management, and report generation, which can improve employee performance in mail administration tasks.

The budget is an important tool in the managerial decision making process. As a structured financial guide, budgets help managers plan, coordinate and control company resources. Through budget preparation, managers can determine cost requirements, allocate resources effectively, and set financial targets that support the achievement of organizational goals. Additionally, budgets serve as performance evaluation tools, allowing managers to compare actual results with projections, identify deviations, and take necessary corrective actions. Using the right budget also helps management reduce health risks, increase operational efficiency, and ensure that strategic decisions are based on measurable and accountable information. Thus, the budget plays a crucial role in supporting a more rational and focused decision-making process.

Human resource management (HRM) plays an important role in helping organizations achieve short-term and long-term goals by aligning those goals with overall business strategy. The purpose of writing this paper is to determine the relationship between Human Resource Management (HRM) and business strategy and to provide an overview of effective employee training and development to increase company productivity. The research method used is qualitative with data collection techniques through literature study. Based on the studies conducted, it is known that the assumption of a close relationship between business strategy and HRM methods is based on contingency theory. This theory emphasizes that human resource management methods are selected according to the type of competitive strategy adopted by the business. A well-crafted business strategy should align with the company's core mission and vision, and serve as a roadmap for achieving profitability, competitiveness and sustainable growth. In addition, proper training and development can significantly influence employee productivity, which in turn will improve the well-being and prosperity of the company. This shows the importance of planning and implementing training and workforce development, both at the company and public levels, to achieve the organization's long-term goals. Keywords: , , ,  , 

This research was conducted to determine the effect of revenues and operational costs on the financial performance of hotel, restaurant and tourism subsector companies listed on the Indonesia Stock Exchange (BEI) in 2019-2023. This research uses 2 independent variables in the form of revenues and operational costs. The dependent variable is financial performance measured using the return on asset ratio. The population in this research is 50 companies in the hotel, restaurant and tourism subsector registered on the IDX in 2019-2023. Sampling used purposive sampling technique. The total research sample was 16 companies with 80 financial report data tested using multiple linear regression analysis. The results of the research that has been carried out show simultaneously revenues and operational costs have an effect on financial performance.

This research delves into examining how the Contextual Teaching and Learning (CTL) model can be applied to enhance students' academic performance in Social Sciences (IPS) for fourth-grade students at Madrasah Ibtidaiyah (MI). This research centers on studying literature to examine how the CTL model connects academic content with students' everyday experiences. By enhancing students' critical and social thinking abilities, this study aims to offer insights to educators on how to incorporate successful teaching approaches in madrasas to enhance student academic performance.

The purpose of documenting the findings is to evaluate the extent to which the use of audio-visual media can implement learners' academic performance in Social Studies subjects at the primary school level. This research has been conducted using a qualitative method complemented by a descriptive approach, relying on data obtained from a literature review. Data sources include relevant scientific articles, books and journals that support previous findings and are in line with the main topic of this study.  The research shows that the use of audiovisual media has a significant impact on improving students' learning rubric in social studies subjects. Audio-visual media proved effective because it was able to encourage active student involvement through activities such as asking questions, discussing, and responding to the material presented. In this case, it was due to the efficient presentation of the video that was able to keep learners' attention and reduce the risk of boredom. Thus, this engagement contributes to their improved academic performance. The integration of audio-visual media in social studies learning in elementary schools has a major positive impact on students' academic achievement and learning motivation.

The purpose of the study is to describe Art Performances in a Series of Wedding Parties in Pondok Tinggi District, Sungai TFull City, Jambi Province. The type of research used is qualitative research with the method used is descriptive analysis. The object of this study is Art in a series of wedding parties, namely art activities in the form of joyful performances of Rentak Kudo. The research instruments or tools are the researchers themselves and are assisted by supporting instruments such as smartphone cameras, voice recorders and flash disks. The data collection techniques used are literature studies, direct observation, interviews, and documentation. The steps taken by the researcher in analyzing the data are data reduction, data display, and drawing conclusions. The results of the study show that the Art Performance at the Wedding Party is described in accordance with the conceptual framework which includes: 1) The relationship between the community of Sungai TFull City and the art performance at the wedding. 2) The relationship between the meaning of art performances based on textual, which consists of movement, expression, floor patterns, dancers, costumes, music, makeup, and performance venues with contextual, namely consisting of wedding parties, wedding processions and social values

The purpose of this research is to analyze the financial performance of the Kediri City government in 2018-2023. This research uses a quantitative approach with descriptive analysis methods. The data comes from Kediri City regional expenditure data for the 2018-2023 period, which was obtained through the Kediri City Central Statistics Agency and the Kediri City Regional Revenue, Financial and Asset Management Agency. The data is processed using regional financial ratio analysis. This research shows that the average expenditure growth ratio of the Regional Government of Kediri City is not good because expenditure growth exceeds income, the average capital expenditure is 10.91% indicating good performance in regional development, the average percentage of operating expenditure is 85, This 45% shows that the operational expenditure performance of the City of Kediri during the 2018-2023 period showed good performance.