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This Study aims to examine the effect of job placement on employee performance through competence as an intervening variable the sample consisted of 64 employees of the Regional Office of Youth, Sport, and Tourism of Morowali Regency. The sampling technique used was saturated sampling. Data were collected using questionnaires and anlyzed with the assistance of the SmartPLS 4 program. The result of the study indicate that job placement and competence have a direct thourism of Morowali Regency. In addition, job placement has an indirect effect on employee performancethtougt competence at the same institution. The coefficient of determination shows an R-square value of 0,182, indicating that 18.2% of the experience, while 80.8% is influenced by other factors not examined in this study. Meanwhile, competence obtained an R-square value of 1.134, indicating that 13.4% of the variance in competence is influenced by job placement, while 80.6% is influenced by other variable not examined is this study.

Planning and improving the performance of educational organizations is a strategic issue that requires a managerial approach integrated with psychological aspects. This study aims to examine and synthesize factors influencing organizational performance through a management psychology approach. The method used was a qualitative systematic literature review design for scientific articles from 2022–2025 obtained from Google Scholar. Data collection techniques were carried out through documentation and article selection based on inclusion criteria, resulting in seven articles for analysis. Data analysis used a thematic approach to identify patterns and relationships between findings. The results showed that organizational performance improvement is influenced by three main factors: structured human resource planning, effective organizational communication, and transformational leadership and work motivation as psychological factors. These findings indicate that integration between structural and psychological aspects plays a crucial role in improving organizational effectiveness. In conclusion, a management approach that integrates planning and psychological factors can improve the performance of educational organizations sustainably.

Dividend payment is an important financial decision that reflects a company’s performance and prospects from the perspective of investors. However, companies included in the LQ45 index still experience fluctuations in dividend payment policies from year to year. This study aims to analyze the effect of leverage, firm size, profitability, and liquidity on dividend payments of companies listed in the LQ45 index on the Indonesia Stock Exchange (IDX) during the 2023–2024 period. This research employs a quantitative approach using secondary data obtained from published financial statements. The sample was selected using a purposive sampling method, resulting in 33 companies with a total of 60 observations. Data analysis was conducted using panel data regression with the assistance of SPSS software. Leverage is measured by the Debt to Asset Ratio (DAR), firm size by the natural logarithm of total assets (LnTA), profitability by Return on Assets (ROA), liquidity by the Current Ratio (CR), and dividend payment by the Dividend Payout Ratio (DPR). The results show that leverage, firm size, profitability, and liquidity simultaneously have a significant effect on dividend payments. Partially, firm size and profitability have a positive and significant effect on dividend payments, while leverage and liquidity do not have a significant effect. These findings indicate that companies with larger firm size and higher profitability tend to have a greater ability to distribute dividends to investors.

The rapid growth of beverage franchises in Indonesia, particularly MIXUE with over 4,000 outlets, necessitates an in-depth examination of the financial management strategies underlying its success. This study aims to analyze the effects of working capital management, supply chain support, and operational cost efficiency on financial performance, as well as to evaluate the investment feasibility of the MIXUE franchise in Indonesia. A mixed-methods sequential explanatory approach was employed, utilizing multiple regression analysis and capital budgeting methods including Net Present Value (NPV), Internal Rate of Return (IRR), Payback Period (PP), and Return on Investment (ROI). Data were collected from 50 franchise outlets across Jakarta, Bandung, Surabaya, and Semarang during 2022-2024, supplemented by in-depth interviews with 15 franchisees and 3 regional managers. Results reveal that all three independent variables significantly and positively affect financial performance: working capital management (β = 0.412; p = 0.002), supply chain support (β = 0.358; p = 0.008), and operational cost efficiency (β = 0.486; p < 0.001) with R² = 0.684. Investment feasibility analysis indicates an average positive NPV of IDR 290.1 million, IRR 36.5%, PP 22.2 months, and ROI 56.5%. This study contributes novel insights by integrating financial and supply chain analysis within the context of beverage franchising in emerging Asian markets, providing a comprehensive evaluation framework for prospective investors and franchise system developers.

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.

Martial arts training centers are essential facilities that support the technical, physical, and mental development of athletes. This study aims to identify the facility requirements and architectural design criteria for martial arts training centers in Surabaya. A qualitative descriptive method was employed, utilizing literature reviews, field observations, and interviews with relevant stakeholders. The findings indicate that the required facilities include a main training area, supporting spaces, and operational support facilities, all of which must be designed in accordance with the specific characteristics of each martial art discipline. Furthermore, the implementation of appropriate zoning systems and design criteria—such as flexibility, safety, comfort, and functional integration—plays a significant role in enhancing the effectiveness of the training environment. Properly designed facilities not only accommodate diverse training needs but also contribute to optimizing athlete performance. Therefore, a comprehensive architectural approach is necessary to ensure that martial arts training centers can function efficiently and sustainably in supporting long-term athlete development.

This study analyzes the performance of the Dual Modulus RSA algorithm in securing text data using Python. The rapid growth of digital technology has increased the risk of data security threats, making efficient and secure encryption essential. Dual Modulus RSA is a modification of the classic RSA algorithm that uses two different moduli in the encryption and decryption process, thus increasing security levels because attackers must factorize two moduli simultaneously. This research uses an experimental quantitative approach by measuring the execution time of encryption and decryption processes with variations in plaintext length (5, 10, and 15 characters). Implementation was carried out using Python 3 with the time.perf_counter() function for microsecond-precision measurement. The results show that the Dual Modulus RSA algorithm successfully encrypts and decrypts all test plaintexts correctly. Encryption time ranged from 0.0212 ms to 0.0823 ms, while decryption time ranged from 0.0422 ms to 0.0955 ms. There is a positive linear relationship between plaintext length and processing time. Decryption is consistently slower than encryption due to the larger private key exponent (d1=2753, d2=3533) compared to the public exponent (e=17). The main factors affecting performance are exponent size, dual modulus overhead, CPU caching effects, and Python interpretation overhead. This study recommends using Dual Modulus RSA with hybrid encryption for practical implementation to balance security and performance.

The study aims to analyze in greater depth the influence of work motivation and employee loyalty on employee performance at PT ABC. This research employs a quantitative approach with an explanatory design intended to systematically explain the relationships among variables. Data were collected through the distribution of questionnaires using a Likert scale (1–5) to employees with a minimum of one year of tenure, as they are considered to have an adequate understanding of organizational conditions. Data analysis was conducted using the Structural Equation Modeling–Partial Least Squares (SEM-PLS) method with the assistance of SmartPLS 4 software to obtain more accurate and comprehensive results. The findings indicate that all research indicators have met the established validity and reliability criteria. The structural model test shows that work motivation has a positive and significant effect on employee performance (β = 0.207; p = 0.007), and employee loyalty also has a positive and significant effect (β = 0.718; p = 0.000). The R-square value of 0.753 indicates that both variables are able to explain 75.3% of the variation in employee performance. These findings emphasize that work motivation and employee loyalty play important roles in improving performance, with loyalty being the most dominant factor influencing employee performance.

Micro, Small, and Medium Enterprises (MSMEs) play a crucial role in Indonesia's economy but face significant challenges in maintaining consistent and sustainable performance amidst changing market dynamics. This study aims to explore how self-efficacy and entrepreneurial motivation influence MSME performance in Malang City using an exploratory phenomenological qualitative approach. Twelve informants with at least two years of business experience and active operations were selected through purposive sampling. Data were collected through semi-structured interviews, analyzed using an inductive approach, and processed until data saturation was reached. The study found that MSME actors' self-efficacy is shaped by accumulated real experiences, including both successes and failures, which contribute to meaningful learning. Entrepreneurial motivation rooted in personal values was found to be stronger and more enduring than extrinsic motivation. The study identified a cyclical interaction between self-efficacy and motivation, reinforcing each other in fostering adaptive entrepreneurial behavior. Additionally, external factors such as family support, entrepreneurial communities, and government programs play a significant role in sustaining these psychological factors. This research contributes to entrepreneurship literature and offers practical recommendations for stakeholders to design more holistic MSME empowerment programs with tangible impact.

The rapid growth of the Internet of Things (IoT) has driven numerous innovations in wireless communications that not only demand technical efficiency but also raise philosophical questions about the nature of scientific knowledge. One such innovation is Physical Layer Network Coding (PLNC), a communication technique that utilizes signal interference as a source of information to enhance system performance. This paper examines the philosophical dimensions of science within PLNC, focusing on three fundamental aspects: ontology, epistemology, and axiology. Ontologically, PLNC represents a new paradigm in wireless communication that reinterprets interference not merely as noise but as an opportunity. Epistemologically, knowledge of PLNC is derived through scientific methods such as mathematical modeling, experimentation, and simulation—yielding intersubjective and verifiable truths. Axiologically, PLNC holds practical value in terms of energy efficiency, data reliability, and contributions to the sustainability of IoT ecosystems, while also raising ethical considerations regarding privacy and information security. Thus, this study demonstrates that the development of PLNC cannot be separated from philosophical reflection, emphasizing the profound interconnection between technological advancement, scientific methodology, and human values.

Surabaya is one of the metropolitan cities in Indonesia with significant potential for the development of sports performance and the improvement of public health quality. The advancement of modern sports requires a sport science–based approach that integrates training, health, technology, and research aspects. However, the lack of integrated sport science facilities remains a major challenge. Therefore, proper site selection is a crucial factor in the design of a Sport Science Center. This study aims to formulate appropriate site selection criteria for the design of a Sport Science Center in Surabaya. The research method used is descriptive qualitative, employing literature studies, site observations, and comparative analysis of alternative sites based on predetermined criteria. The results indicate that the main site selection criteria include accessibility, proximity to supporting facilities, compliance with spatial planning regulations, environmental conditions, land area, and future development potential. Based on the analysis, the Middle East Ring Road (MERR) area in Surabaya is considered the most suitable location for the development of a Sport Science Center.

This study analyzes the implementation of Good Governance in enhancing consular services at the Consulate General of the Republic of Indonesia in Tawau, using a qualitative approach with a case study paradigm. The findings reveal several key points: First, transparency in consular services is achieved through openness about procedures, fees, and service time standards via official platforms like websites, social media, and notice boards. This transparency reduces information asymmetry, prevents maladministration, and builds trust. Second, service accountability is reflected in the timely execution of passport renewals, Emergency Travel Documents, and document legalization, following Standard Operating Procedures (SOPs). Accountability is further demonstrated through performance reports, complaint channels, and service evaluations. Third, public participation is fostered through two-way communication, complaint mechanisms, and collaboration with Indonesian citizen and migrant worker communities. The mobile consular service program also enhances accessibility. Finally, consular services are based on clear legal frameworks, ensuring the legitimacy of services and protection for Indonesian citizens and migrant workers. Overall, the study concludes that the implementation of Good Governance principles at the Consulate General of Indonesia in Tawau significantly improves the quality of consular services.

The implementation of a reward and punishment system is considered capable of improving employee work discipline. Rewards are given to encourage employee morale, while punishments are given as a reminder of the consequences of misconduct. This study aims to describe the implementation of the reward and punishment system in the Civil Service. Through a qualitative approach with in-depth observation, structured interviews with employees, and documentation studies. The results of the study found that the implementation of the reward and punishment system has been carried out well, with rewards given based on the level of discipline and performance of employees, while punishments are given based on the type of violation committed. The rewards given include Additional Employee Income, the Satyalancana Karya Satya award, exemplary employee awards, internship certificates, and retirement awards. Meanwhile, the punishments given include verbal warnings, written warnings, deductions from Additional Employee Income, and severe sanctions for employees with serious violations.  

The performance of asphalt mixtures is strongly influenced by the composition of their constituent materials, particularly aggregate size and mixing temperature during production. In many tropical and subtropical regions, asphalt pavements frequently experience rutting, reduced stability, and changes in viscoelastic properties due to high environmental temperatures and heavy traffic loads. These conditions can significantly affect pavement durability, making it essential to produce asphalt mixtures that meet established technical standards. This study aims to analyze the effect of variations in aggregate size distribution and mixing temperature on the Marshall characteristics of Asphalt Concrete Wearing Course (AC-WC) mixtures. The research employs the Marshall test method to evaluate the load-bearing capacity and stability of hot asphalt mixtures and to assess their compliance with ASTM/SNI standards. The results indicate that mixtures with standard aggregate gradation achieve stability values of 985 kg at 120°C, 1055 kg at 140°C, and 1107 kg at 160°C. As mixing temperature increases, flow values decrease, while the Marshall Quotient (MQ) increases, indicating improved stiffness. Higher temperatures also enhance compaction, reducing VIM and VMA while increasing VFA. Conversely, non-standard aggregate gradations result in several parameters failing to meet ASTM/SNI requirements, confirming that standard gradation produces superior asphalt performance.

Rice plants (Oryza Sativa L.) are the main staple food commodity in Indonesia, as most of the Indonesian population relies on rice as their primary food. One of the causes of low rice production in Indonesia is that farmers generally cultivate rice improperly, such as in land preparation or land selection. Land suitability in rice cultivation greatly affects crop productivity. A process that can support decisions regarding rice land suitability is the development of a Decision Support System (DSS) website using a combination of the Simple Additive Weighting (SAW) method and the Technique for Order Performance of Similarity to Ideal Solution (TOPSIS). This combination is performed by taking the average (µ) of the final results from the SAW and TOPSIS methods. The final scores of each method are calculated separately, and then the average (µ) of these two results is taken to obtain the final ranking of the alternatives. The data used to determine the suitability of rice land is based on five criteria: soil type, soil pH, rainfall, temperature, irrigation and water supply. The alternative data used in the study includes six alternatives: Sungai Kunjang, Sambutan, Samarinda Utara, Palaran, Loa Janan Ilir, and Samarinda Seberang. The aim of this research is to provide information on alternative solutions to farmers or farmer groups in determining rice land suitability. The results of the combination of the SAW and TOPSIS methods show that the alternative with the highest final score is Samarinda Utara (A3), with a final score of 0.7337. Meanwhile, the alternative with the lowest final score is Sambutan (A2), with a final score of 0.4402.

This study examines the application of innovation in public services based on digital technology as a strategic approach to improve the effectiveness, efficiency, transparency, and overall quality of government services. The digitization of service delivery through e-government initiatives, smart governance frameworks, and various applications such as SEPP, E-Lapor, JAKI, and OpenSID has been proven to accelerate administrative processes, simplify complex bureaucratic procedures, and significantly expand public access to services. In addition, these digital platforms contribute to more inclusive and user-oriented public service systems. The purpose of this study is to analyze the effectiveness of technology in improving service delivery and to identify strategic steps that can be taken to address the challenges associated with service innovation in the public sector. Qualitative research methods were applied, utilizing data collection techniques through an extensive literature review of relevant academic and policy sources. The findings illustrate that technology-based innovation not only supports improved service performance but also strengthens accountability, responsiveness, and public participation in governance processes.

The Fréchet distribution is one of the commonly used Extreme Value Distributions (EVDs) in statistical modeling and heavy-tailed data analysis, where it plays an important role in describing product lifetimes as well as climatic and financial phenomena. The estimation of its two parameters, namely the shape parameter and the scale parameter, is traditionally based on the Maximum Likelihood Estimation (MLE) method. However, maximizing the likelihood function for this distribution involves numerical difficulties, which necessitates the use of numerical optimization methods. In this study, we propose the use of the Aquila Optimizer (AO), a recent metaheuristic algorithm inspired by the hunting behavior of eagles, as an efficient numerical tool for maximizing the likelihood function of the Fréchet distribution. The objective function was formulated as the negative log-likelihood function (-LogL), and the Aquila Optimizer was employed to obtain the optimal estimates of the distribution parameters. Several simulation experiments with different sample sizes were conducted to compare the performance of the proposed method with a conventional approach represented by the Nelder–Mead method, using the Mean Squared Error (MSE) criterion. The simulation results demonstrated that the Aquila Optimizer outperformed the Nelder–Mead algorithm in many cases, although the superiority was slight. The results also showed that both algorithms were consistent, as their MSE values decreased with increasing sample size. In addition, a practical application was carried out using real data, and the results of the survival function estimation indicated a good fit.

Public service performance serves as a crucial measure of how effectively government agencies provide services to the public. Rising expectations from the public compel governments to ensure that services are delivered in an efficient, open, responsible, and responsive manner. Within the realm of public administration reform, the standard of public services has emerged as a key issue for governments looking to enhance public confidence and governance. The Indonesian government has created the Public Service Index (Indeks Pelayanan Publik/IPP) as a tool to assess the performance of public services. The IPP functions as an all-encompassing measurement system to evaluate the quality, efficiency, and responsibility associated with public service provision across government entities. This research intends to explore the definition of public service performance, the legal framework that regulates public services in Indonesia, and the metrics employed for calculating the Public Service Index. The study uses a qualitative descriptive method and a literature review approach, evaluating various pertinent books, regulations, and scholarly articles concentrating on public service management and performance evaluation. The results indicate that the Public Service Index plays a vital role in assessing service quality, institutional effectiveness, and the degree of public satisfaction. Additionally, the application of the IPP measurements fosters transparency, bolsters accountability, and encourages ongoing enhancements in public service delivery. Therefore, enhancing public service performance necessitates robust regulatory backing, institutional dedication, and the utilization of clear and quantifiable performance metrics to guarantee enduring improvements in service quality.

Public service is a key indicator in evaluating local government performance; however, various service issues continue to generate increasing public complaints. This study aims to analyze trends in public complaints, identify the most frequently reported institutions, and examine the types of maladministration and the status of complaint resolution through the Ombudsman of the Republic of Indonesia in South Sulawesi Province during 2023–2025. This study offers novelty by providing an integrated analysis of complaint trends, distribution of reported institutions, types of maladministration, and resolution outcomes based on Ombudsman data at the regional level. This research employs a qualitative approach using document analysis, with public complaint reports as the unit of analysis. Data were analyzed through data reduction, data display, and conclusion drawing. The results indicate that local governments are the most frequently reported institutions (55.1%), with dominant maladministration types including procedural deviations and prolonged delays. Several complaints were proven to involve maladministration and were resolved through the Ombudsman’s supervisory mechanism. These findings highlight that public complaints serve as an important instrument in enhancing accountability and transparency in public service delivery. Therefore, local governments need to strengthen service standards, improve the capacity of public officials, and develop more effective complaint management systems.

Based on data from FAO (Food and Agriculture Organization of The United Nations), it has been predicted that the aquaculture subsector will become one of the most relied-upon resources in the future, especially in meeting food needs, fish-based nutritional needs, and empowering the global community's economy (FAO, 2016). Catfish is a type of freshwater fish that can grow and develop well because it can be cultivated in limited land areas (Marsela, 2018). The frequency of feeding is one of the important factors that need to be considered in catfish farming. To determine the effect of different feeding frequencies on the absolute weight of dumbo catfish, a study was conducted using an experimental design called the Completely Randomized Design (CRD), with 3 treatments and a total of 8 replications. The test treatments were as follows: Treatment 1 (feeding twice a day), Treatment 2 (feeding three times a day), and Treatment 3 (feeding four times a day). The results of the ANOVA test showed a significant value of 0.000 (P < 0.05), indicating a significant difference in each of the different feeding frequencies. The analysis of the Least Significant Difference (LSD) test at a 5% significance level also showed that the relationship between each treatment had a significant value of 0.000 (P < 0.05). The average absolute weight of the fish for Treatment 1 was 12.99 grams, for Treatment 2 was 15.03 grams, and for Treatment 3 was 17.03 grams. The highest growth in the absolute weight of dumbo catfish fry occurred in Treatment 3 (feeding four times a day).