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Abstract: Detecting chili leaf diseases remains challenging due to the non-uniform manifestation of symptoms, local discoloration, small lesion regions, and visual similarity between disease patterns and natural leaf background variations. Although YOLO-based detectors provide favorable computational efficiency, lightweight variants often struggle to distinguish subtle lesion characteristics, while conventional attention mechanisms such as CBAM primarily rely on global feature aggregation and may overlook regional activation variability. To address these limitations, this study proposes a YOLOv9s-based detection framework integrated with a Region-Dispersion Channel Spatial Attention (RDCSA) module. The proposed module incorporates regional dispersion statistics, namely mean, standard deviation, and range, as channel descriptors to capture inter-region feature variability before applying spatial attention refinement. Experiments were conducted on the COLD dataset containing 532 original images from five chili leaf condition categories using a split-before-augmentation protocol to ensure objective evaluation. RDCSA was integrated at the P5 feature level and evaluated through attention placement analysis, component-wise ablation, sensitivity analysis, stability assessment, and comparison with modern attention mechanisms. The proposed YOLOv9s + RDCSA model achieved an mAP@50 of 0.894, mAP@50–95 of 0.773, precision of 0.858, recall of 0.861, and an F1-score of 0.859 with only a marginal increase in model parameters. The results suggest that regional dispersion-based attention improves feature discrimination while preserving computational efficiency, particularly for disease symptoms characterized by heterogeneous spatial patterns. Nevertheless, performance remains influenced by visually ambiguous symptom categories, indicating that further validation across multiple datasets and field conditions is required. Overall, the proposed RDCSA module enhances detection capability without substantially increasing computational overhead, making it a promising attention mechanism for lightweight plant disease detection systems.

Job analysis is a key component of human resource management that plays a role in determining the tasks, responsibilities, and competencies required for a particular job. In various organizations, job analysis serves as the foundation for HR planning, recruitment, selection, employee placement, and performance evaluation. However, research on job analysis remains scattered across various studies focused on specific organizational contexts, necessitating a literature synthesis to gain a more comprehensive understanding of research developments in this field. Therefore, this study aims to analyze the development of research on job analysis and identify its role and contributions to human resource management. This study employed a literature review method by searching for scientific articles in the Google Scholar database using the Publish or Perish (PoP) application with the keyword “job analysis.” The initial search yielded 30 scientific articles, which were then screened based on topic relevance, open access, and publication years ranging from 2020-2026, resulting in 16 articles selected for further analysis. The findings indicate that the literature on job analysis can be grouped into three main themes: the role of job analysis in human resource management, its contribution to improving employee performance and productivity, and its implementation in employee placement and organizational governance. Overall, job analysis has proven to be a strategic tool for enhancing the effectiveness of human resource management. Further research is recommended to examine the implementation of job analysis in greater depth across various organizational contexts to enrich the development of human resource management theory and practice.

Indonesia is in an earthquake-prone region, therefore, designing building constructions that can withstand seismic loads is crucial in civil engineering. Reinforced concrete shear walls are one of the vertical structural fundamentals that are effectively used in multi-story buildings to withstand lateral forces due to earthquake and wind loads. Structures that use shear walls can increase stiffness and reduce horizontal deviations (deflections) of buildings, which contribute to the stability and safety of structures based on the SNI 1726:2019 standard. This study aims to analyze the effect of shear wall configurations on deviation and torsion requirements in multi-story building planning. The study object is a 6-story reinforced concrete building model in a specific earthquake zone. The design and modeling were performed using structural analysis software, taking into account columns, beams, slabs, and shear walls. The analysis results show that optimal placement of shear walls at the building edges significantly reduces horizontal drift, torsion, and shear forces, and improves the structural performance level compared to structures without shear walls or those with less effective placement. Structures with shear walls have optimal stiffness in absorbing lateral forces, making them more resistant to damage from the planned earthquake.

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.

Bureaucratic reform in Indonesia has encouraged the strengthening of civil service management oriented toward performance through the policy of appointing Government Employees with Work Agreements (PPPK) in order to improve the effectiveness of public organizations. This study aims to analyze the performance of PPPK in supporting the implementation of tasks at the Environmental Agency of Jambi City by using Mangkunegara’s performance theory as the analytical framework. This research employs a qualitative approach with a descriptive method. Data were collected through in-depth interviews and documentation, and then analyzed using data reduction, data display, and conclusion drawing techniques. The results show that the performance of PPPK is generally in the good category and contributes positively to organizational effectiveness. This is reflected in the aspects of work quality, work quantity, and responsibility as explained in Mangkunegara’s performance theory. The alignment between job placement and competence, increased work motivation due to employment status certainty, and organizational support through training and coaching are the main factors supporting performance optimization. However, there are still constraints, particularly the suboptimal understanding of main duties and functions, thus requiring strengthened organizational communication and continuous capacity development. This study confirms that competency-based management and systematic development of PPPK play an important role in improving the effectiveness of task implementation in the public sector.

This study aims to analyze the influence of Work Life Balance and Work Discipline on Employee Productivity at Seblak Bageur Bandung. The research background is based on operational phenomena such as high work intensity, consumer complaints regarding service accuracy, and pre-survey results indicating that Work Life Balance and Work Discipline are dominant factors affecting productivity. This study uses a quantitative method with descriptive and verificative approaches. The research population consisted of 34 employees, all of whom were used as samples through total sampling technique. Instruments in the form of questionnaires were tested for validity and reliability, then analyzed using multiple linear regression, t-test, F-test, and coefficient of determination. The results show that: (1) Partially, Work Life Balance (X1) has a regression coefficient of 0.801 > 0.3388, so H1 is accepted; Work Discipline (X2) has a regression coefficient of 0.862 > 0.3388, so H2 is accepted. (2) Simultaneously, Work Life Balance does not have a significant effect on productivity because the Work Discipline variable is more dominant, with a regression coefficient (b1) of 0.125, t-value of 0.591, and significance of 0.559. Meanwhile, Work Discipline has a stronger influence with a regression coefficient (b2) of 0.749, t-value of 3.543, and significance of 0.001. Overall, this study confirms that improving Work Life Balance and especially Work Discipline is an important strategy for increasing employee productivity at Seblak Bageur Bandung.

The advancement of automotive technology has accelerated the adoption of renewable‑energy‑based electric vehicles, including the integration of solar panels on electric scooters. Indonesia’s tropical climate provides abundant solar energy potential; however, the limited surface area of scooters often restricts panel placement to the footrest section. This study aims to evaluate the impact of using a 10 mm clear acrylic cover on the performance of a 50 Wp monocrystalline solar panel in an electric scooter battery‑charging system. An experimental method was employed by comparing the panel’s performance under two conditions: without a cover and with the acrylic cover installed. Key parameters observed included voltage, current, and charging power, recorded using a data logger. Tests were conducted for 30 minutes under varying solar radiation intensities. The results indicate that the acrylic cover reduces the panel’s output power, from 55 W to 45 W at a solar radiation intensity of approximately 1100 W/m². These findings suggest that the use of an acrylic cover must be carefully considered to maintain optimal charging system performance.

The advancement of automotive technology has accelerated the adoption of renewable‑energy‑based electric vehicles, including the integration of solar panels on electric scooters. Indonesia’s tropical climate provides abundant solar energy potential; however, the limited surface area of scooters often restricts panel placement to the footrest section. This study aims to evaluate the impact of using a 10 mm clear acrylic cover on the performance of a 50 Wp monocrystalline solar panel in an electric scooter battery‑charging system. An experimental method was employed by comparing the panel’s performance under two conditions: without a cover and with the acrylic cover installed. Key parameters observed included voltage, current, and charging power, recorded using a data logger. Tests were conducted for 30 minutes under varying solar radiation intensities. The results indicate that the acrylic cover reduces the panel’s output power, from 55 W to 45 W at a solar radiation intensity of approximately 1100 W/m². These findings suggest that the use of an acrylic cover must be carefully considered to maintain optimal charging system performance.

This research aims to analyze the influence of job placement, fringe benefits, and work facilities on the performance of employees at Jawa Pos Kediri, both partially and simultaneously. The method used is quantitative with a descriptive and associative approach. Data were collected through the distribution of questionnaires to 50 respondents who are employees of Jawa Pos Kediri. The data analysis techniques used include multiple linear regression, t-test (partial), F-test (simultaneous), and the coefficient of determination (R²). The results indicate that both partially and simultaneously, job placement, fringe benefits, and work facilities have a positive and significant impact on employee performance. The R² value of 0.944 indicates that 94.4% of the variation in employee performance can be explained by these three variables, while the remaining 5.6% is influenced by other factors. Therefore, this study emphasizes that appropriate job placement, adequate benefits, and sufficient work facilities are important factors in improving employee performance at Jawa Pos Kediri. Thus, the company management needs to pay more attention to these three aspects to create a productive and sustainable work environment.

Job placement is a brief and concise summary of the process of placing employees in positions that match their expertise, skills, and knowledge within an organization. Human capital refers to the knowledge, skills, competencies, and attributes of individuals that contribute to economic and social performance. Teamwork is one of the important factors in increasing effectiveness and productivity in an organizational environment. Employee performance is one of the main indicators in determining the success and competitiveness of an organization. This study aims to analyze the effect of job placement, human capital, and teamwork on employee performance at PT. Faithfull The Brand. This study was conducted at PT. Faithfull The Brand. The research population was employees of PT. Faithfull The Brand. The sample in this study was 87 respondents who were determined based on the Slovin formula. The data analysis technique used was multiple linear regression analysis using the SPSS program. The results of testing the hypothesis stated that job placement had a positive and significant effect on employee performance at PT. Faithfull The Brand, human capital had a positive and significant effect on employee performance at PT. Faithfull The Brand, and teamwork had a positive and significant effect on employee performance at PT. Faithfull The Brand.

The aim of the study was to determine and analyze the role of job placement in moderating the effect of competence and personality on employee performance at Perusahaan Umum Daerah Air Minum in the Priangan Timur Region. The method used in the study was a survey with a descriptive quantitative approach. The sample size in the study was 226  karyawants, selected through cluster sampling. Data analysis used Partial Least Squares-Structural Equation Modeling (PLS-SEM). The findings with moderation effects showed that competence, personality, and job placement had a positive and significant effect on employee performance at Perusahaan Umum Daerah Air Minum in the Priangan Timur Region. Job placement strengthened the effect of competence and personality on employee performance at Perusahaan Umum Daerah Air Minum in the Priangan Timur Region. The implication of this study showed that improving employee performance Perusahaan Umum Daerah Air Minum in the Priangan Timur area could be achieved through integrated management of competence, personality, and job placement.

The rapid advancement of science and technology requires universities to provide safe, comfortable, and representative learning facilities. One such initiative is the construction of a five-story lecture building at Dr. Soetomo University, designed with a steel structure as an alternative to reinforced concrete. Steel was chosen due to its high tensile strength, uniform material properties, lighter weight, ease of installation, and strong resistance to earthquake loads. This study aims to design a five-story lecture building with a steel structure that meets the requirements of strength, stability, and safety in accordance with applicable standards. The method applied is structural planning based on SNI 1729:2020, SNI 1727:2020, and SNI 1726:2019 using the Load and Resistance Factor Design (LRFD) approach. Structural analysis was conducted with SAP2000 version 2014 through three-dimensional modeling that considers geometry, material properties, loading, and placement. The results show that the selected steel profiles for beams, columns, and connections are capable of supporting the combination of dead loads, live loads, and seismic loads with safe performance. The maximum stress remains below the allowable limit, and the deflection values do not exceed the permitted deviation. These findings confirm that steel provides efficiency in dimensions and materials while offering practicality and earthquake resistance, and the design produced can serve as a useful reference for future multi-story building projects in earthquake-prone regions.

This study investigates the implementation of a simple supply chain strengthening program to enhance the competitiveness of Indonesian micro, small, and medium enterprises (MSMEs) in the Malaysian market. Indonesian MSMEs face challenges in market entry, including limited knowledge of export procedures, high distribution costs, and low product acceptance due to labeling and packaging issues. The research aims to evaluate whether targeted, low-cost interventions can improve MSME readiness and performance in international trade. A total of 40 MSMEs from the food and beverage, handicraft, and processed product sectors participated, with 55 owners, managers, and employees engaged in training and mentoring activities. Data were collected using pre–post knowledge questionnaires, logistics cost records, product placement monitoring, in-depth interviews, and focus group discussions. The program resulted in a 35% increase in knowledge scores, a 15% reduction in average distribution costs, a rise in product acceptance from 45% to 72%, and successful distribution partnerships for 8 MSMEs, leading to a 180% increase in monthly orders. The findings indicate that practice-based, contextual training combined with logistics optimization and market facilitation significantly enhances MSME competitiveness. Low-cost interventions are shown to be effective and scalable, providing practical guidance for policymakers and support institutions. The study contributes to the literature on MSME export readiness by demonstrating that structured, simple supply chain strategies can deliver measurable outcomes in low-resource settings. Future research should examine larger samples, longer monitoring periods, and additional markets to assess long-term sustainability and sector-specific strategies

Human Resource Management (HRM) plays a strategic role in improving organizational competitiveness through proper management of employee placement, training, and performance evaluation. To support the achievement of these goals, a predictive model is needed that can provide an accurate picture of employee performance. This study utilizes a Human Resource Management (HRM) dataset of 1,200 data and applies several classification algorithms to compare their effectiveness, namely J48 or C4.5, Random Forest, Naive Bayes, K-Nearest Neighbor (KNN), Logistic Regression, and Support Vector Machine (SVM). To obtain more optimal results, this study uses resampling techniques and attribute selection methods with a correlation attribute eval approach, so that class distribution can be more balanced and model accuracy increases. From the test results, the Decision Tree J48 algorithm showed the best performance with an accuracy level reaching 95.41%, a kappa value of 0.8925, a mean absolute error (MAE) of 0.0432, a precision of 0.955, a recall of 0.954, and an area under the ROC curve of 0.964. These findings indicate that J48 has excellent predictive capabilities compared to other algorithms. Furthermore, this study also found that the most influential variables in determining employee performance include the percentage of the last salary increase (EmpLast Salary Hike Percent), the level of work environment satisfaction (Emp Environment Satisfaction), the length of time since the last promotion (Years Since Last Promotion), and experience in the current role (Experience Years in Current Role). Overall, the results of the study indicate that the C4.5 algorithm with the application of the resampling technique can be an optimal solution in building an employee performance prediction system. Thus, this model has the potential to be a strong basis for managerial decision-making, particularly in designing HR development strategies and policies to improve organizational performance.

This study aims to improve ground handling personnel to support operational safety in the airside area of Yogyakarta International Airport. The main focus of this study is the level of compliance with the technical provisions stipulated in SKEP 140/VI/1999. The approach used is descriptive qualitative, with data collected through direct field observation, interviews with competent parties, and review of related documents. The results of the study indicate that there are still many violations of standard operating procedures (SOPs), especially related to the use and placement of Ground Support Equipment (GSE) that does not comply with standards and the operation of vehicles that do not reach properly. Some of the main causes identified are weak supervision, low work discipline, limited understanding of safety procedures, and a lack of routine training for officers. This has the potential to increase safety risks and disrupt smooth operations at the airport. As a solution, this study recommends corrective measures that include strengthening field supervision, ongoing training to improve understanding of safety procedures, implementing strict sanctions for violators, and reorganizing equipment storage and use areas. In addition, it is important to develop a stronger safety culture among officers and utilize technology to improve operational oversight. These measures are expected to create a safer and more efficient environment in the airside area of Yogyakarta International Airport. This study also identified the need for regular evaluation and updating of existing procedures to align with technological developments and international standards. By paying attention to safety aspects, operational efficiency can be maintained and the risk of accidents or incidents can be minimized. By strengthening safety management and work discipline, better performance levels and improved service quality in the aviation sector can be achieved.

This study aims to examine the influence of competence, job placement, and work discipline on employee performance at the Samsat Office of Bima Regency. The research applies a quantitative approach using a survey method. Data were collected through questionnaires distributed to 30 civil servants selected using purposive sampling. The data analysis techniques include validity and reliability tests, multiple linear regression, t-test, and F-test. The results show that competence, placement, and work discipline each have a positive and significant influence on employee performance, both partially and simultaneously. The coefficient of determination indicates that 45.2% of the variance in performance is explained by the three variables. These findings suggest that improving employee competence through training, placing staff according to their skills, and consistently enforcing work discipline can enhance employee effectiveness and productivity. The study has important implications for human resource management in public institutions, particularly in improving service quality through better employee performance.

Job analysis serves as a strategic instrument in human resource management (HRM), forming the basis for organizational structure design, job descriptions and specifications, and supporting employee evaluation and development processes. This study employs a literature review approach involving 50 articles, narrowed down to 5 core sources to explore the critical role of job analysis. Findings indicate that job analysis not only enhances employee performance and job satisfaction, but also supports optimal placement based on competencies and personality profiles such as the DISC approach. Job analysis has proven effective in the education sector and holds broader potential for implementation across various industries.

Job analysis plays a crucial role in improving the performance and efficiency of educators. This study aims to examine the role of job analysis in the context of education through a literature review approach, focusing on five selected articles published between 2020 and 2024. The findings indicate that proper job analysis can enhance teacher performance by ensuring their placement aligns with qualifications, identifying training needs, and clarifying tasks and responsibilities. Additionally, the integration of organizational culture and regular updates to job analysis contribute to work efficiency and educator productivity. These findings provide practical implications for educational institutions to optimize human resource management through dynamic and structured job analysis. , 

This report discusses the development of an employee placement information system to enhance employee performance at the Tanjungbalai City Education Office. With the advancement of information technology, proper employee placement based on qualifications and competencies has become a crucial factor in organizational efficiency. This study employs the Multifactor Evaluation Process (MFEP) method to objectively evaluate employee placement. The developed system is web-based to facilitate access and processing of employee performance evaluation data. The findings indicate that this system assists decision-making in optimizing employee placement, improving work effectiveness, and providing recommendations for employee performance evaluation.

Urban flooding is increasingly concerning due to climate change and rapid urbanization. Factors such as intensified rainfall, urban sprawl, and reduced permeable surfaces heighten flood risks, making efficient stormwater management crucial. This study focuses on developing a Decision Support System (DSS) to optimize green infrastructure (GI) placement in urban areas, aiming to enhance stormwater infiltration and reduce flood risks under climate change scenarios. The research reviews current strategies for GI planning and DSS in urban flood management. By integrating GIS tools, hydrological models, and climate data, the DSS identifies ideal locations for GI measures like rain gardens, bioswales, and permeable pavements, promoting effective stormwater management while addressing climate change. Hydrological models simulate stormwater behavior under varying rainfall conditions, and GIS maps potential GI sites within urban areas. Simulations of future extreme rainfall events assess GI performance under changing climate conditions. Results show significant reductions in stormwater runoff and flood risks, particularly in areas with high impervious surfaces. Challenges such as space constraints in dense urban areas, scalability of GI solutions, and long-term maintenance are discussed. The study concludes that integrating GI with traditional stormwater systems offers a comprehensive approach to urban flood mitigation, with the DSS serving as a key tool for urban planners and policymakers.