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The development of hardware and software technology has developed rapidly in recent years. Currently, companies are still experiencing difficulties in processing data and information. Spare parts that are not available when needed can hinder maintenance and repair plans. For this reason, controlling spare parts inventory in the Asia Jaya Motor workshop company is very necessary to maintain the quality of goods. Asia Jaya Motor Workshop is a business operating in the automotive sector, where this place cannot be separated from an accurate information system. However, data management still uses manual methods, seeing the problems that occur at the Asia Jaya Motor Karawang Workshop, very high accuracy, convenience and speed are needed. The aim of this research is to obtain an effective and efficient spare parts inventory analysis so that spare parts procurement and control plans can be accurate in supporting maintenance and repair programs. The data collection techniques for this research are library research and field research. So, the total cost of spare parts inventory in the 2011-2014 period according to the Economic Order Quantity method for each spare part has increased. The total cost (total cost) of spare parts inventory according to the Economic Order Quantity method is lowest in the 2021 period and the total cost (total cost) of spare parts inventory is the highest in the 2023 period.

The rapid advancement of digital collaboration platforms has reshaped the way organizations manage communication, motivation, and performance. Microsoft Teams, as one of the most widely adopted tools, provides integrated features for real-time messaging, virtual meetings, and document sharing that enable employees to collaborate more effectively. This study aims to explore the impact of Microsoft Teams on communication, motivation, and employee performance at the Pratama Tax Service Office (KPP) in Langsa. A quantitative research design was applied using a survey method, with data collected through pretest and posttest questionnaires. The study involved a total population of 89 employees, of which 81 valid responses were analyzed. Data processing was carried out with SPSS version 25 to compare employee conditions before and after the use of Microsoft Teams. The findings reveal that the adoption of Microsoft Teams contributes to more effective communication, enhances employee motivation by simplifying coordination and task management, and improves overall performance. These results highlight the potential of digital collaboration platforms to strengthen organizational effectiveness, particularly in government institutions that require efficiency, transparency, and adaptability in their operations. The study further implies that maximizing the use of digital platforms can support long-term organizational goals in the context of ongoing digital transformation.

This study was conducted to determine the effect of online customer reviews and brand image on consumer purchasing decisions of Somethinc products. This study is a quantitative research using a non-probability sampling method with an accidental sampling/incidental sampling technique. In this study, primary data in the form of questionnaires through Google Forms was used. The number of samples used in this study was 96 respondents who were people domiciled in Bekasi City. The analysis technique used in this study uses multiple linear regression analysis with the help of SPSS 26 software. Based on the results of the data processing carried out, the results of this study showed that the Online Customer Review variable has a positive and significant effect on Purchasing Decisions, the Brand Image variable has a positive and significant effect on Purchasing Decisions. The Online Customer Review and Brand Image variables simultaneously have a significant influence on the Purchasing Decision variable.        

The research was carried out against the background that low learning motivation can be caused by various factors, including the teacher's lack of ability to manage the learning process. In this way, this research aims to find out whether there is a relationship between teachers' classroom management abilities and students' learning motivation at MAS Plus Al-Ulum. The research methodology uses a correlational approach. with a population of 140 students. If the number of subjects is large, between 10-15% or 20-25% or more can be taken. Sample = 28% The data collection technique in this research uses a research instrument, namely a scale. The scale validity data processing tool is implemented using content validity. The results of this research show that the coefficient between the variables classroom management ability (X) and student learning motivation (Y) at MAS Plus Al-Ulum is 0.39. Through the t test carried out, the calculated t value was 2.636, while the t table value was 2.02. This indicates that there is a positive and significant relationship between the variable class management ability (X) and student learning motivation (Y). This relationship is linear and can be predicted using the regression line Ŷ = 67.18 + 0.29.

Indonesia is the world's leading producer of spices, but it still faces challenges in manual visual quality assessment, which is inconsistent. This study aims to develop a spice quality classification system using a Deep Learning approach based on Convolutional Neural Networks (CNN). Data was collected through digital images of five types of spices (cloves, cardamom, cinnamon, pepper, and nutmeg) classified into two categories: good and bad. The dataset was then processed and used to Train the CNN model using Tensorflow. The model architecture consists of several convolution, pooling, and dense layers, and is integrated into a web-based prototype application using Streamlit. Evaluation results show that the model achieves high Accuracy of 98.86% (Training), 98.45% (Validation), and 98.45% (Testing). The prototype application can provide automatic Predictions of spice quality through a simple and responsive interface. The results of this study indicate that CNN is effective in identifying the visual quality of spices and can serve as an objective, efficient technological solution that supports the enhancement of Indonesia's spice export competitiveness.

The phenomenon of tax avoidance in Indonesia remains a significant issue, one of which is the case of PT. Adaro Energy Tbk, which practiced tax avoidance through transfer pricing to its subsidiary in Singapore, Coaltrade Service International, from 2009 to 2017. Based on this phenomenon, this study aims to analyze the effect of leverage and profitability on tax avoidance with transfer pricing as a moderating variable in coal subsector energy companies listed on the Indonesia Stock Exchange (IDX) for the 2021–2023 period. This study uses descriptive analysis methods, classical assumption tests, Moderated Regression Analysis (MRA), and hypothesis testing with t-tests. The data processing tool used is SPSS version 23. The study population consisted of 45 companies, and through purposive sampling technique, 12 companies were obtained as samples with a three-year observation period, resulting in a total sample of 36 data. The results show that leverage has a positive effect on tax avoidance, while profitability has no effect on tax avoidance. Meanwhile, transfer pricing has a negative effect on tax avoidance. Interestingly, transfer pricing has been shown to strengthen the relationship between leverage and tax avoidance, as well as the relationship between profitability and tax avoidance. This finding confirms that "transfer pricing can be a significant moderating factor in corporate tax management strategies." Therefore, the results of this study contribute to understanding tax avoidance practices in the coal subsector for companies and regulators, as well as providing policy implications for tax regulations in Indonesia.

The management of incoming and outgoing mail at the Situbondo Technical Implementation Unit (UPT BLK) plays a crucial role in supporting the effectiveness of administrative activities. Currently, the process of recording letters is carried out manually using an agenda book, which is considered inefficient, makes searching for archives difficult, and takes a long time. These problems encourage the implementation of an information system that can facilitate faster, more structured, and more accurate processing of letter data. This study proposes the development of a computer-based information system using the waterfall method in the Software Development Life Cycle (SDLC). The data collection process is carried out through direct observation and interviews with administrative staff, so that system requirements can be clearly identified. The results of this study are an information system design with a simple, user-friendly, and easy-to-operate interface, so that employees can quickly understand the flow of use. The system developed allows the process of recording, archiving, and tracking letters to be more organized, practical, and efficient compared to previous manual methods. In addition, this system is also able to reduce the potential for human error in recording and accelerate the presentation of information when needed for administrative purposes and decision-making. Other advantages offered are easy data access and the availability of reliable, accurate, and timely information. With this system, administrative performance at the Situbondo Technical Implementation Unit (UPT BLK) is expected to significantly improve, both in terms of time efficiency, service speed, and orderliness in managing documents.

The purpose of this study was to determine the effect of the Gross Regional Domestic Product of the Trade and Processing Industry Sectors and Services on the Amount of Labor Absorption in Samarinda City and Balikpapan City. This study uses panel data from 2013 – 2022 in the two cities of Samarinda and Balikapapan using secondary data. Data analysis used a dummy variable multiple linear regression model using SPSS (Statistical Program Social Science) version 23. The results of this study indicate that the GRDP variables in the trade, manufacturing and service sectors together have a significant effect on the amount of labor absorption. The Trade Sector Variable partially has a significant positive effect on Total Labor Absorption. The Processing Industry Sector Variable partially has no significant effect on Total Labor Absorption. And the Service Sector Variable partially has a significant negative effect on Total Labor Absorption.

Efficient operations of PT PLN, as a vital electricity provider, heavily rely on effective service management, including customer data collection and payment processing. Employee performance supervision is crucial to ensure optimal results and customer satisfaction, given that traditional manual systems often suffer from inefficiencies, inaccuracies, and delays. This research aims to develop and implement a web-based performance monitoring system for electricity bill delivery officers to enhance operational efficiency and accountability at PT PLN. The Waterfall method was adopted as a systematic development framework, encompassing stages of requirements analysis, design using Unified Modeling Language (UML) such as use case diagrams and activity diagrams, implementation with PHP and MySQL, and black box testing to validate system functionality. The results of the black box testing indicate that all main functions of the system, including user authentication, user data management, uploading of daily reports and supporting files by officers, and the administrator's ability to monitor and review reports, function as expected. The successful implementation of this system indicates its capability to overcome the limitations of manual methods and provide real-time visibility into the performance of field officers. Thus, this web-based monitoring system not only contributes to improving data accuracy and operational efficiency at PT PLN but also supports more informative and strategic managerial decision-making, aligning with digital transformation initiatives in the energy sector

This study aims to determine the income and feasibility of sago processing business in Andabia Village, Anggaberi District, Konawe Regency. The research was carried out in March 2025 using the purposive sampling method, based on the consideration that the sago processing business has long been the main livelihood of the local community. The sample was taken by census of 13 respondents. Data analysis using revenue model I = TR - TC and business feasibility analysis with an R/C = TR / TC ratio approach. The results of the study show that in one sago processing process, the total revenue reaches IDR 18,000,000, while the total cost is IDR 7,863,269. Thus, the net income obtained by sago processors is IDR 10,136,731. The business feasibility analysis shows an R/C ratio value of 2.29, which means that every expenditure of IDR 1 generates IDR 2.29 in revenue. The R/C value > 1 indicates that the sago processing business in the region is profitable and feasible to be developed. These findings provide a basis for strengthening the local economy through optimizing the sago business as a sustainable source of income. This study also recommends policy support and technical training to improve the efficiency and competitiveness of sago processing businesses in the area.

This study aims to gain an in-depth understanding of the implementation of bread product quality control in the Pastry Section of Harris Hotel & Conventions Bundaran Satelit Surabaya, covering four main aspects: raw materials, production process, storage, and presentation. Furthermore, this study focuses on understanding the Standard Operating Procedures (SOPs) for bread production operations and the level of implementation of these SOPs in daily work practices. The research method used is descriptive qualitative, with data collection techniques through direct field observation, interviews with pastry section staff, and documentation related to bread production activities. The results show that bread product quality control is carried out comprehensively. In the initial stage, raw material selection is carried out strictly to ensure quality, freshness, and food safety. The production process is carried out according to standard procedures, paying attention to equipment cleanliness, processing techniques, and timeliness, resulting in products that are consistent in taste and texture. The storage stage is also carried out hygienically with a system for arranging ingredients and finished products that pay attention to temperature, humidity, and cleanliness of the storage room. In the final stage, bread is served with good aesthetic standards while maintaining food safety aspects, thus adding value to the hotel guest experience. The bread production operational SOP has been systematically developed and serves as an important reference for all pastry section employees in carrying out their daily tasks. Employee compliance with the SOP is high, although challenges remain, such as limited trainee skills and delays in raw material supplies from suppliers. These challenges can usually be overcome through direct supervision, internal training, and good communication with material suppliers. Overall, the implementation of quality control and bread production SOPs at Harris Hotel & Conventions Bundaran Satelit Surabaya has been running smoothly and consistently.

This study aims to analyze the development process of a creative economy based on bead waste and the use of digital platforms as a marketing medium to increase product competitiveness. The background of the study is based on the phenomenon of increasing volumes of waste that have not been optimally managed and the low skills of business actors in utilizing digital technology. The research method used a qualitative approach with descriptive methods. Data were collected through in-depth interviews, participatory observation, documentation, and literature studies, with informants consisting of business actors, community leaders, representatives of relevant agencies, and consumers. The results of the study indicate that processing waste into beads not only reduces environmental impacts but also opens up creative business opportunities with high economic value. The use of digital platforms has proven effective in expanding market reach, improving branding, and driving sales, although there are still obstacles in the skills of digital entrepreneurs. This study recommends strengthening digital marketing capacity and ongoing mentoring for creative waste-based entrepreneurs to achieve economic and environmental sustainability. In addition, synergy between business actors, the government, and local communities is a crucial factor in supporting the development of a waste-based creative economy. The involvement of local governments through entrepreneurship training and facilitating access to technology is essential to address the challenge of limited digital capabilities of entrepreneurs. Local communities also play a role in maintaining sustainable production and encouraging innovation in bead designs based on local culture to add value and attract market share. This collaboration can create a conducive ecosystem for the growth of creative small and medium enterprises (SMEs), while strengthening local identity and increasing product competitiveness in national and global markets. Thus, developing a waste-based creative economy and utilizing digital marketing are relevant innovative strategies in addressing current economic and environmental challenges.

This research aims to develop a transaction data security system on the web-based Pancadaya Waste Bank application by applying a hybrid cryptographic algorithm that combines Advanced Encryption Standard (AES) and Rivest Shamir Adleman (RSA). The problem faced in the previous system is the weak recording and security of customer transaction data, because the process is still carried out manually so that it is prone to recording errors, loss of important information, and potential misuse of data by unauthorized parties. To answer these problems, this study uses the Rapid Application Development (RAD) method which allows the application development process to be carried out quickly, flexibly, structured, and according to user needs. The research method used was a qualitative approach with interview techniques with the management of the Pancadaya Waste Bank and the Environment Office, as well as an in-depth literature study on the application of hybrid cryptographic algorithms in modern information systems. The system is built using the PHP programming language, MySQL database, and OpenSSL library as the main support for the data encryption and decryption process. The implementation of the algorithm is carried out by encrypting transaction data using AES for efficiency and speed, then the AES key is secured through RSA to ensure a higher level of security while preventing illegal access. The test results showed that the system was able to encrypt and decrypt transaction data in real-time, as well as display transaction results in the form of digital notes on deposit and balance withdrawal activities. In addition, performance tests using GTmetrix showed that the application has excellent speed, stability, and processing efficiency, making it feasible to be widely implemented in Pancadaya Waste Bank operations.

This study aims to determine the influence of leadership and work motivation on employee performance at Tiara Dewata Supermarket. The research model used a quantitative descriptive method, and data collection techniques used a questionnaire, using 100 samples. The analytical methods used were multiple linear regression analysis, t-tests, and F-tests to determine the influence of independent variables on the dependent variable. SPSS for Windows version 25 was used for data processing. The results of this study indicate that partially, leadership and work motivation have a positive and significant effect on employee performance, as indicated by values of 0.005 and 0.006, respectively, which are <0.05. Simultaneously, leadership and work motivation have a positive and significant effect on employee performance, with a value of 0.000, which is <0.05. This study recommends that companies pay attention to leadership and work motivation factors to improve employee performance.

Vocational High School 2 Purbalingga will continue to face challenges related to teacher performance in 2024. Based on pre-research results and the data obtained, a shortage of teaching staff has been identified, leading to excessive teaching loads and hours, job stress, and dissatisfaction among some teachers with their compensation. This study aims to determine the extent to which job stress, workload, and compensation influence teacher performance at Vocational High School 2 Purbalingga. This study used a quantitative method with a survey approach. The population in this study was all 84 teachers, all of whom were sampled using a saturated sampling technique. Data processing was performed using SPSS version 25. The results showed that job stress had no effect on teacher performance, while workload and compensation had a significant effect. Simultaneously, job stress, workload, and compensation influenced teacher performance. The coefficient of determination value of 0.451 indicates that these three variables influence teacher performance by 45.1%, while the remaining 54.9% is influenced by other factors not examined in this study. Therefore, it is recommended that the school increase the number of teaching staff to reduce excessive teacher workload

The manual payroll process for honorary staff at the Department of Trade of Nabire Regency often leads to calculation errors and administrative delays, affecting employee satisfaction. This study aims to develop a more efficient and accurate payroll information system. The system is designed using the Java programming language and MySQL database, following the Waterfall development method. Through requirements analysis, design, implementation, testing, and evaluation, the system has been developed to improve the accuracy and effectiveness of the payroll process. Test results show that the system successfully reduces calculation errors by up to 90% and shortens the payroll processing time. Therefore, this system is expected to be a practical solution for the Department of Trade to manage honorary staff payments more effectively.

This study investigates the influence of organizational culture and school leadership on teacher performance through work motivation as an intervening variable at SMA N 2 Pasaman Barat. The research employed a quantitative approach, with the entire population consisting of 46 teachers serving as respondents. Data were analyzed using Structural Equation Modeling (SEM) with the Partial Least Squares (PLS) method, including assessments of both the outer and inner models, as well as hypothesis testing. Data processing was conducted with the SmartPLS 3 software package to ensure accuracy and reliability in statistical analysis. The findings reveal that organizational culture has a significant positive effect on work motivation, indicating that a supportive and constructive organizational environment fosters higher levels of teacher motivation. Similarly, school leadership demonstrates a substantial impact on work motivation, emphasizing the importance of principals in inspiring and guiding teachers to remain engaged in their professional roles. Furthermore, the analysis shows that organizational culture significantly affects teacher performance, suggesting that strong cultural values and shared norms within the school enhance overall effectiveness in teaching. In contrast, the results indicate that school leadership does not have a direct significant effect on teacher performance, highlighting that leadership influence may be indirect, primarily channeled through motivational factors. Additionally, work motivation itself is found not to exert a substantial effect on teacher performance, suggesting that motivation alone may be insufficient without being supported by other organizational and contextual factors. When tested as an intervening variable, work motivation does not significantly mediate the relationship between organizational culture and teacher performance, nor between school leadership and teacher performance. Overall, the study contributes to the understanding of how organizational culture and leadership interact with teacher motivation and performance, with implications for educational management strategies aimed at enhancing teacher outcomes in secondary schools.

PT. Sinarta Karya Papua, a medium-scale enterprise in Eastern Indonesia, faces operational challenges due to its reliance on manual sales recording systems, leading to data duplication, delayed reporting, and limited information transparency. This hinders operational efficiency and strategic decision-making. This study aims to develop a web-based sales management information system addressing these issues using the Rapid Application Development (RAD) methodology, selected for its rapid prototyping and iterative adaptation to user needs. Data was gathered through field observations, semi-structured interviews with staff and management, and literature reviews on information systems and RAD. The system was developed with PHP and MySQL to ensure flexibility and reliable data management. Findings demonstrate the successful integration of sales transaction processing, customer management, inventory control, and real-time reporting modules. Comprehensive functional testing (Blackbox Testing) confirmed 100% operational accuracy across all features, significantly improving record-keeping efficiency and information accessibility. The primary contribution lies in implementing RAD within Papua's unique business context—an underexplored area in existing literature. The system delivers a practical solution for PT. Sinarta Karya Papua while serving as a reference model for similar enterprises in geographically challenging regions. Key implications include enhanced organizational competitiveness through digital transformation and the potential replication of this framework across other business sectors in Eastern Indonesia.

The rapid growth of e-commerce platforms has significantly transformed the way consumers share and access product feedback. One of the widely used platforms in Indonesia is Shopee, where customers actively provide reviews of various products, including local skincare brands such as Kahf facial wash. Customer reviews on e-commerce platforms contain valuable information that can be analyzed to understand consumer opinions and preferences. Sentiment analysis, as a branch of natural language processing, enables the classification of textual data into categories such as positive, negative, or neutral. This study aims to classify Shopee user sentiments regarding Kahf facial wash products by implementing the Multinomial Naïve Bayes algorithm, a well-known probabilistic classifier suitable for text categorization. The research methodology consisted of several preprocessing stages, including data cleansing, case folding, tokenizing, stopword removal, and stemming, to prepare raw review texts for further analysis. For feature representation, the Term Frequency–Inverse Document Frequency (TF-IDF) method was applied to capture the importance of words across documents. To evaluate the classification performance, K-Fold cross-validation was employed with K values of 4, 5, 6, and 10 to ensure model reliability and robustness. Considering the issue of imbalanced datasets in user-generated reviews, the Synthetic Minority Over-sampling Technique (SMOTE) was utilized to balance the distribution of sentiment classes. Based on the confusion matrix, the Multinomial Naïve Bayes algorithm demonstrated effective performance in classifying sentiments, achieving satisfactory levels of accuracy, precision, and recall across different folds. These results indicate that the algorithm is capable of handling sentiment analysis tasks for local product reviews effectively. The findings of this study are expected to provide meaningful insights for businesses in understanding consumer perceptions, thereby supporting decision-making processes in product development, marketing strategies, and customer engagement for local brands.

Environmental issues are complex and increasingly important. This is also true in the industrial sector, particularly in the culinary industry. Currently, public awareness of environmental issues is increasing, leading consumers to consider eco-friendly factors in their daily lives. The concept of eco-friendliness in the coffee shop industry has become an increasingly popular trend. Especially in the food and beverage (F&B) industry, which plays a significant role in waste production, particularly plastic and food waste. Therefore, the concept of eco-friendly practices has emerged in the F&B industry. This can take the form of using environmentally friendly food ingredients, eco-friendly packaging, and the café concept itself, which conveys an eco-friendly image that can increase consumer purchasing interest. This is implemented by Fore Cafe and Coffee Galaxy Bekasi. This study aims to investigate how the eco-friendly concept is implemented and its impact on consumer purchasing interest at Fore Cafe & Coffee Galaxy Bekasi. The study employs a quantitative approach with a sample and population of 99 consumers of Fore Cafe & Coffee Galaxy Bekasi, selected randomly. The analysis uses validity tests, reliability tests, normality tests, and T-statistical test. The results of the research and data processing using SPSS version 25 showed that the Eco-Friendly concept had an effect on increasing consumer interest in purchasing Fore Cafe & Coffee Galaxy Bekasi, and certainly had a positive effect on environmental conditions.