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Abstract -  Corn plants are one of the plants that are easy to grow and relatively fast to get results but also a plant that is vulnerable to pests and diseases. The symptoms that arise require an expert or agricultural expert to be able to diagnose. Limited time and expert labor is one of the causes of delayed diagnosis, causing a decrease in farmers' yields. This is the basis for making this expert system by adopting knowledge from agricultural experts about the symptoms of corn disease using the Forward Chaining method. To support the research conducted, researchers used the Research and Development (R&D) research method and the design used the Object Oriented Programming (OOP) method using the Unified Modeling Language (UML). Software is built using the PHP programming language, MySQL as a database, and Bootstrap as an interface design with a web-based system.    

This research aims to determine the Influence of Accounting Information Systems in Mediating the Quality of Financial Reports on the Performance of MSMEs in Medan. The approach used in this research is quantitative, a survey with a Likert scale was distributed to stakeholders interests of MSMEs in Medan. Data analysis carried out using Partial Least Squares Structural Equation Modeling (PLS-SEM) via SmartPLS. Research finds significant effects accounting information systems and the quality of financial reports on the performance of MSMEs. In addition, this research highlights the mediating influence of financial report quality on the relationship between accounting information systems and performance in Medan.

This study examines the complex dynamics of retirement planning among manufacturing workers in Batam, Indonesia, focusing on the interplay between financial behavior, social influence, and retirement planning outcomes. Utilizing a quantitative associative approach, the research surveyed 100 workers from diverse demographic backgrounds in Batam's manufacturing sector. The study employed Smart-PLS 3 software for structural equation modeling and path analysis. Key findings reveal that while financial behavior positively influences retirement planning (β=0.196, p=0.032), social influence exhibits a much stronger positive effect (β=0.858, p=0.000). Interestingly, social influence negatively moderates the relationship between financial behavior and retirement planning (β=-0.176, p=0.037), suggesting that social factors may sometimes counteract individual financial practices. These results underscore the complexity of retirement planning in industrial urban settings, highlighting the need for a nuanced approach that considers both individual financial literacy and broader social contexts. The study concludes by recommending holistic strategies that combine traditional financial education with community-based interventions to enhance retirement planning effectiveness among workers in rapidly developing industrial cities like Batam.

The purpose of this research is to empirically determine the analysis of competency and innovative work behavior on employee performance mediated by knowledge sharing by conducting a study at the Tual City Personnel and Human Resource Development Agency). This research is positivism research, with the type of research being explanatory research. The population in this study was all employees of the Tual City Personnel and Human Resource Development Agency, totaling 33 people. The data analysis technique used in this research is Partial Least Square-Structural Equation Modeling (PLS-SEM) with the SmartPLS application. The research results show that competency is empirically unable to encourage increased employee performance. Innovative work behavior is empirically unable to encourage increased employee performance. Competency can empirically encourage increased knowledge sharing. Innovative work behavior is empirically able to encourage increased knowledge sharing. Knowledge sharing is empirically able to encourage increased employee performance. Competency is empirically able to encourage increased employee performance mediated by knowledge sharing. Innovative work behavior is empirically able to encourage increased employee performance mediated by knowledge sharing.

The research aims to determine the influence of the marketing mix (4P) and consumer behavior on the intention to choose the Metallurgical Engineering study program. Analysis using Structural Equating Modeling (SEM) on Partial Least Square (PLS) and data collection by distributing questionnaires to 150 respondents who know Metallurgical Engineering, Institute Del Technology. Purposive sampling is the sampling method used in research. The research results show that the intention to choose a Metallurgical Engineering study program is strongly influenced by the marketing mix (4P) and consumer behavior.  

In education, resilience is an important psychological concept especially for understanding how students cope with stress and challenges in their educational environment. This study focuses on five dimensions that contribute to students' level of resilience, including: perseverence, self-reliance, equanimity, existential aloness, and meaningfull life. Study aims to test the validity and reliability of a scale or instrument that measures the level of resilience in Vocational High School (SMK) students, using Structural Equation Modeling Partial Least Squares (SEM-PLS). This study involved 103 SMK students as research participants. Data were collected through a previously developed resilience scale. Data were analyzed using measurement model and structural model. The analysis showed that the resilience scale has good construct validity, with reliable indicators to measure the desired construct. The reliability of the instrument was also found to be high based on the calculated Cronbach's alpha coefficient. This study makes an important contribution to understanding the resilience of vocational students and validating an instrument that can be used to effectively measure this concept in an educational context. Practical implications of the findings include the development of more targeted educational programs to enhance students' resilience, so that they can face learning and life challenges more readily and effectively.

The business of selling coffee in the world is growing more easily and quickly with the provision of a place which is usually called a cafe or shop. One of them is the Titik Hitam Nalar cafe in Jakarta, but the ordering process with customers takes longer to wait for orders and customer payments that are not neatly arranged create conditions that’s are not conducive, resulting in continuous negative criticism. Therefore, an application is needed that helps employees work in every part, both in terms of ordering, manufacturing, and payments, using the FIFO algorithm which focuses on which services are prioritized first in order to reduce negative sentiment from customers. The Android-based application was created by involving every design phase, making it easier for customers and employees to provide a service facility that works well and is suitable for use.  

This study aims to describe and analyze the survival and sustainability of the Dua Dua Dance in the community in Tanjung Eran Village. This type of research is qualitative research with a descriptive method. The main instrument of this research is the researcher and is assisted by supporting instruments such as stationery and cameras. Data were collected through literature studies, observations, interviews and documentation. The steps of analyzing data are data collection, data reduction, data modeling, and drawing conclusions. The results of the study show that the survival and sustainability of the Knife Dance in Tanjung Eran Village, Pino District is still ongoing to this day through the Elan Sakti College taught by Datuk Ardin. The survival of the Dua Dua Dance can be seen in terms of the form of movement, costumes and rituals that have not changed from the past to the present. The ritual is to prepare offerings containing (black chicken/beetle chicken and brown rice), then prepare a complete betel nut containing (lime, betel, areca nut), prepare a basket of rice filled (rice, lime, white thread, needles, glasses filled with salt chili) and a bowl of Situngkat Guru White Cloth 1 piece per person and 3 colors of yarn (yellow, black,  white). The offerings that were prepared were used before becoming a member and after mastering the Pisau Dua dance is still carried out without any change at all. In terms of performing the Pisau Dua dance at an event, there is a procedure carried out by the dancer, namely bathing using lime. It is this resilience that makes sustainability in people's lives so that the Pisau Dua dance can be used in traditional ceremonies such as marriage ceremonies.

This research aims to analyze the consumer buying behavior consequential variables consisting of, Ecolabeling, Green Branding, Green Advertising, Environmental Knowledge, and Green Consumption. The sampling method used is non-probability sampling with purposive sampling technique. A total of 200 respondents had purchased or knew about environmentally friendly products and had ecolabeling labels. Data was collected through a cross-sectional questionnaire. Then the data was analyzed using SEM Structure Equation Modeling. The results of hypothesis testing show that there is a positive influence of Ecolabeling, Green Advertising, Green Branding, Environmental Knowledge, Green Consumption on Consumer Buying Behavior. The results of this research can provide input for entrepreneurs or companies that make environmentally friendly electronic products to further increase their green marketing and also product sales.                                                                  

The Inventory Information System designed for CV Alan Bakery is a solution to the challenges of managing raw materials and bread that was previously done manually. CV Alan Bakery is engaged in bread production and sales shop, which requires efficient and accurate stock management. The system is designed using the Unified Modeling Language (UML) as a modeling tool, and implemented using the PHP programming language with the Laravel framework, as well as MySQL as a database management system. The UML approach was used to visually design the system structure, facilitating a better understanding of the relationships between entities in the system. The Laravel framework was chosen to speed up development, ensure security, and improve application performance. MySQL is used as a database to store raw material data, bread, sales transactions, and inventory-related information. This Inventory Information System helps CV Alan Bakery in automating the process of managing raw material and bread stocks. With this, problems related to discrepancies in the calculation of raw materials and bread can be minimized. In addition, the system allows for real-time stock monitoring, sales transaction tracking, and analysis related to inventory performance..

The use of automation systems is needed in sorting, one of which is the sorting of objects based on the size of the object being sorted. Especially in the sorting process, there are still many industries that use conveyors that only function for one product with the same weight characteristics. Therefore, to sort the same goods with different weights, a separate conveyor is needed so that many conveyors are used. The development of a sorting machine is an important aspect in the modern automation and manufacturing industry. This research aims to design and analyze the static loading of the sorting machine frame using SOLIDWORKS software. The design method used includes detailed 3D modeling of the machine frame by considering the strength, stability and reliability of the structure. The simulation results using SOLIDWORKS software show the stress (von Mises) with a maximum value of 82.26 MPa, while the theoretical calculation result is 84 MPa. Displacement with a maximum value of 4.063 mm, while the theoretical calculation result is 1.60 mm. The safety factor is 2.38, while the theoretical calculation result is 2.43. The difference between manual calculation and simulation is 0.02% for von Mises stress, 1.5% for displacement, and 0.02% for safety factor.

In order to better understand the complex links between infrastructure development, education, tourism, agriculture, and regional economic growth in Indonesia, this study uses structural equation modeling with partial least squares, or SEM-PLS. The research makes use of a 287-observation dataset and applies rigorous measurement model evaluation, bootstrapping analysis, structural model estimation, and model validation against multiple fit indices. The results show a strong positive correlation between each sector—agriculture, tourism, education, and infrastructure development—and regional economic expansion. The necessity for comprehensive, integrated development strategies is highlighted by the interconnectedness of these interactions. In order to promote balanced and resilient regional economic growth, the findings provide policymakers with useful insights and highlight the significance of ongoing investments in infrastructure, education, and sustainable tourism and agricultural practices.    

The quality of audits is a crucial measurement to determine how effectively an audit has been conducted and the extent to which it produces relevant, accurate, and reliable information. High-quality audit outcomes are typically assessed based on how well the audit team performs the planning process, ensures that the audit plan is relevant and effective, produces audit reports that meet stakeholders' needs, and adheres to ethical principles aligned with established auditing standards. This study aims to evaluate the extent to which several key factors—namely audit planning, audit implementation, audit reporting, and ethical principles—have a direct impact on the audit quality of the Government Internal Supervisory Apparatus (Aparat Pengawasan Intern Pemerintah, or APIP) in the Binjai City Government. The research employs a quantitative approach, utilizing primary data collected from a sample of 39 government auditors. Data analysis was performed using the SmartPLS (Partial Least Squares) application, which allows for the modeling of complex relationships between variables. The findings reveal that audit planning, audit implementation, and audit reporting all have a significant and direct influence on the quality of audit results. These components play a central role in enhancing the credibility, effectiveness, and usefulness of internal government audits. However, the study also finds that ethical principles, while essential in guiding professional conduct, do not have a statistically significant direct impact on audit quality in this specific context. The results underscore the importance of strengthening technical aspects of the audit process, such as planning and reporting, while also maintaining strong ethical foundations as complementary rather than primary determinants of audit quality. This research contributes to the ongoing efforts to improve the effectiveness and reliability of internal government audits in Indonesian public sector institutions.

This study aims to examine the effect of financial report presentation, financial report accessibility, and monitoring mechanisms on financial management accountability and financial management transparency, as well as to examine their impact on public trust. This quantitative research uses primary data obtained by distributing questionnaires to 90 selected respondents who are village heads, village secretaries, finance heads, planning heads, and two members of the Village Consultative Body in Banyudono District, Boyolali Regency. Data analysis used variant-based structural equation modeling. The results showed that financial management accountability was only influenced by the presentation of financial reports, while financial management transparency was influenced by the presentation of financial reports, and monitoring mechanisms. Public trust is only influenced by financial management transparency. These results indicate that the more transparent the government is in terms of financial management and access to important information, the more public trust will increase.

The blue economy has the principle of sustainable management in various sectors between the ocean and the coast. The blue economy emphasizes economic growth and frames the sea and coast as a space for development. This research aims to identify and analyze key variables in environmental and economic aspects in the development of the blue economy in Patutrejo Village, Purworejo Regency. This research uses a mix method approach to achieve research objectives with interviews and analysis using ISM (Interpretive Structural Modeling). The results of this research show that there are three blue economy sectors, including aquaculture, beach tourism and commodity processing. The research results indicate that water conservation and increasing opportunities for the tourism industry are key variables for developing the blue economy

The rapid growth of healthcare services has significantly increased the generation of medical waste, posing serious risks to environmental and public health, particularly through water quality contamination. This study examines global trends in medical waste management and proposes a hybrid analytical framework combining bibliometric analysis using SCIMAT and predictive modeling based on artificial neural networks implemented in Orange. Bibliometric mapping was employed to identify dominant research themes, temporal evolution, and knowledge gaps in medical waste and water contamination studies from 2000 to 2023. Subsequently, a neural network model was developed to predict potential water quality deterioration associated with mismanaged medical waste, using simulated environmental indicators. The results reveal a strong research focus on incineration, infection control, and hazardous waste, while predictive modeling of water contamination remains underexplored. The proposed hybrid approach demonstrates high predictive accuracy and offers a robust decision-support tool for environmental health policy. This study contributes methodologically and substantively to sustainable medical waste management and water resource protection.

As electric vehicles (EVs) gain popularity, understanding the demand for EV charging infrastructure becomes essential for effective urban planning. This paper develops mathematical models to predict EV charging demand based on various factors, including population density, traffic patterns, and energy consumption data. The models provide valuable insights for city planners regarding the optimal placement and capacity of EV charging stations to meet future demand, facilitating the transition to a more sustainable urban environment.

This paper presents an improved SEIR (Susceptible-Exposed-Infectious-Recovered) model to simulate the spread of infectious diseases in urban environments, taking into account environmental factors such as population density, mobility, and air quality. By applying the model to a range of urban case studies, we analyze the impact of each factor on transmission rates and propose strategies for optimal intervention. The results show that cities with higher levels of mobility and pollution experience faster disease spread, which requires targeted health policies.

This study aimed to assess the impact of cognitive involvement, affective involvement, and customer behavioral involvement on online purchase intentions, with customer experience as a mediator on the Shopee application in Medan City. The research included 130 respondents from Medan City, selected using purposive sampling. Data analysis was conducted using the SMARTPLS version 3.0 program, employing Structural Equation Modeling (SEM), measurement models (outer models), structural measurements (inner models), and hypothesis testing. The results indicated that customer cognitive involvement had a positive but insignificant effect on customer experience. Affective and behavioral involvement had a positive and significant effect on customer experience. Both cognitive and behavioral involvement had a positive and significant effect on online purchase intentions, while customer affective involvement had a positive but insignificant effect on online purchase intentions. Furthermore, customer experience had a positive and significant effect on online purchasing intentions. It was found that customer experience was unable to mediate the influence of customer involvement on online purchasing intentions. However, customer experience was able to mediate the influence of affective and behavioral customer involvement on online purchasing intentions. Hence, businesses using the Shopee application can enhance customer engagement and leverage technological advancements to attract purchasing intentions by introducing additional features with creativity and openness.

In the face of the digital era's rapid evolution, human resource planning has become increasingly crucial for organizations to maintain competitiveness and sustainability. This abstract explores strategic human resource planning (HRP) as a pivotal approach to navigating the complexities posed by digital transformation. The advent of digital technologies has revolutionized industries, requiring organizations to adapt swiftly to remain relevant and efficient. Strategic HRP involves aligning workforce capabilities and organizational goals with the demands and opportunities presented by digital advancements. Key considerations include forecasting future workforce needs, identifying critical skill gaps, and implementing robust talent acquisition and development strategies. Moreover, effective HRP entails leveraging data analytics and predictive modeling to anticipate HR requirements and optimize workforce planning initiatives.The challenges of the digital era necessitate proactive measures in talent management, such as upskilling current employees and recruiting digitally savvy talent. Organizations must foster a culture of continuous learning and adaptability to thrive in a digitally disrupted environment. Strategic HRP also encompasses developing agile HR policies and practices that can accommodate rapid technological changes and evolving employee expectations. Furthermore, integrating technologies like artificial intelligence and automation into HR processes can streamline operations and enhance decision-making capabilities.In conclusion, strategic human resource planning is indispensable for organizations seeking to harness the opportunities presented by the digital era while mitigating its inherent challenges. By prioritizing agility, foresight, and innovation in HR practices, organizations can build a resilient workforce capable of driving sustainable growth and competitive advantage in the digital age.