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This study aims to determine the level of income earned by palm sugar (brown sugar) producers in Nubuai Village, Urei Faisei District, Waropen Regency. The research employed a descriptive research design. The population consisted of all palm sugar farmers in Nubuai Village, Urei Faisei District, Waropen Regency. The sampling technique used was purposive sampling, with a total sample of 10 respondents. The data sources included primary and secondary data. Primary data were obtained through direct interviews conducted by the researcher using a structured questionnaire containing previously prepared questions. Secondary data were collected from relevant government institutions related to the study. Data collection techniques included observation, questionnaires, and documentation. Data analysis was carried out using multiple regression analysis, t-test, and F-test. The results showed that the income variable obtained by palm sugar producers had a positive and significant effect on the income of palm sugar farmers in Nubuai Village, Urei Faisei District, Waropen Regency, with a regression coefficient value of Rp 8,976.001 and a significance value of 0.000 < 0.05. The farmers’ revenue variable also had a positive and significant effect on farmers’ income in Nubuai Village, with a regression coefficient value of Rp 15,791.849 and a significance value of 0.038 < 0.05. Furthermore, the variables of experience and palm sugar price simultaneously influenced the income of palm sugar farmers in Nubuai Village, Urei Faisei District, Waropen Regency.

The success of information systems projects in the digital transformation era is often hindered by unhealthy team dynamics, even when technical aspects have been optimally met. This study aims to analyze the synergy between inclusive communication strategies and digital leadership styles in building team health and sustainable performance. The research method employed is a qualitative literature study, integrating variables such as digital leadership, psychological safety, and knowledge management. The results indicate that digital leadership serves as a primary catalyst in creating a psychologically safe work environment, which in turn enhances the creative self-efficacy of team members. Synergy is effectively established when leaders adopt transparent communication channels through digital collaboration tools to mitigate role conflict and technostress within hybrid work environments. Furthermore, knowledge coordination is proven to strengthen team cohesiveness through the conversion of personal knowledge into strategic organizational assets. The study concludes that the integration of empathic communication and adaptive leadership is the fundamental basis for the cognitive, psychological, and operational health of the team. This research produces a managerial synergy framework to mitigate the risk of project failure caused by human factors in the digital era.

This study seeks to examine the influence of brand image, product innovation, and lifestyle on purchasing decisions for iPhone smartphones among residents of Patumbak Village, Dusun V, Deli Serdang. Specifically, it aims to analyze the individual effect of brand image on purchasing decisions, the effect of product innovation on purchasing decisions, and the effect of lifestyle on purchasing decisions, as well as their combined impact. The research employs a descriptive quantitative approach, utilizing questionnaires, interviews, and documentation as data collection techniques. The population consists of 740 residents of Patumbak Village, Dusun V, and the sample of 88 respondents was determined using non-probability sampling with the Slovin formula. The collected data were processed and analyzed through multiple linear regression analysis using SPSS version 26.0. The findings indicate that the calculated F value (205.841) exceeds the F table value (2.71), demonstrating a significant simultaneous effect of brand image, product innovation, and lifestyle on purchasing decisions. Partially, brand image (t = 2.885), product innovation (t = 2.491), and lifestyle (t = 5.570) each show t-values greater than the t table value (1.662), confirming their significant individual influence. Furthermore, the coefficient of determination (R²) of 0.570 reveals that 57% of the variation in purchasing decisions is explained collectively by the three independent variables.

News texts are a systematic way of conveying information that contains declarative and imperative sentences used to convey meaning directly and demonstrate the persuasive value of the news. The research goals are to analyze imperative sentences to understand how commands, requests, prohibitions, or invitations are conveyed so that they can influence the actions or responses of readers, as well as to analyze declarative sentences, which play an important role in constructing discourse structure and indicating the writer's position on the topic being discussed. This study was conducted using a qualitative descriptive method. This method was chosen because it can describe what is seen, heard, felt, and asked. The researcher considers qualitative descriptive research to accurately describe a situation without manipulating variables.  This research concludes that imperative sentences elicit responses in the form of agreement and action, or rejection, either directly or indirectly. Meanwhile, declarative sentences serve as a guide or basis for understanding the context the speaker wishes to convey and can also be used to reinforce previously conveyed information to avoid ambiguity and misunderstanding when examining the meaning. This research is expected to be useful in linguistic studies, more specifically in syntactic material that discusses declarative and imperative sentences in news texts and political discourses.

Tobacco is a leading commodity that forms the foundation of the rural economy, but its cultivation faces challenges in the form of labour intensity, significant capital requirements, and farmers' lack of understanding of systematic cost structures. This study aims to analyse the production cost structure and evaluate the economic efficiency of tobacco farming managed by the Batu Daun Farmer Group in Batuan Village, Sumenep Regency. The research method used a qualitative descriptive approach with data collection through in-depth interviews with the head of the farmer group, field observations, and analysis of financial documents as secondary data. The analysis focused on identifying fixed and variable costs, as well as evaluating economic performance using the Break Even Point (BEP) and Revenue-Cost Ratio (R/C) indicators. The results showed that the total production cost was IDR 28,597,500 (fixed costs of IDR 3,450,000 and variable costs of IDR 25,147,500) for the production of 2,800 kg of tobacco with a gross income of IDR 70,000,000. The R/C ratio value of 2.44 (>1) indicates that the business is operating efficiently and profitably, while the BEP of 215.4 kg shows that actual production far exceeds the break-even point, meaning that the business is in an economically safe zone. The results of the study conclude that the tobacco farming business of the Batu Daun Farmer Group is economically viable and efficient.

First-year university students undergo a transitional phase from the school environment to the academic, social, and emotional demands of higher education. This transition often triggers stress when not supported by an adequate social environment. Peer support plays an essential role in this adaptation process by providing emotional support, information, and a sense of belonging. Positive peer relationships can help students manage academic pressure, whereas poor peer interactions may increase the risk of stress. Therefore, peer support serves as a protective factor in maintaining the psychological well-being of first-year students. This study employed a quantitative approach with a cross-sectional design. Data were collected using the Peer Support Questionnaire (PSQ) and the Student-Life Stress Inventory (SSI) from 130 first-year students of the Faculty of Pharmacy, UNISSULA. The sampling technique used was simple random sampling. Data were analyzed using the Gamma correlation test to determine the relationship between the variables. The Gamma test revealed a p-value of 0.000 (<0.05), indicating that the alternative hypothesis was accepted, meaning there is a significant relationship between peer support and stress levels among first-year students. The correlation coefficient of –0.737 indicates a strong negative relationship, suggesting that higher peer support is associated with lower stress levels. There is a significant and strong relationship between peer support and stress levels among first-year students at the Faculty of Pharmacy, UNISSULA.

This research investigates intelligent cooling system design for main ship engines operating in tropical waters, integrating advanced machinery engineering with human factors to address thermal management challenges affecting engine performance, reliability, and crew operational effectiveness. Tropical maritime environments impose severe cooling demands through elevated seawater temperatures (28-32°C), high ambient conditions (28-35°C), and accelerated biofouling, reducing conventional cooling system effectiveness by 15-25% while increasing maintenance burdens and operational risks. Through qualitative analysis involving marine engineers, chief engineers with tropical operational experience, cooling system manufacturers, naval architects, automation specialists, and maritime training institutions, this study examines how intelligent cooling systems incorporating variable-speed pumps, adaptive control algorithms, predictive maintenance, and crew-centered interfaces can optimize thermal management while supporting effective human-machine collaboration. Results demonstrate that intelligent systems can reduce cooling energy consumption by 20-35%, improve temperature stability by 50-65%, extend maintenance intervals by 40-80%, and enhance crew situational awareness through intuitive monitoring interfaces, while requiring comprehensive training programs developing technical understanding and operational competencies. Key implementation challenges include control system complexity, sensor reliability in harsh marine environments, integration with existing engine management platforms, crew competency development requirements, and lifecycle cost justification. Findings reveal that successful intelligent cooling system implementation requires holistic sociotechnical approach addressing machinery engineering optimization, automation technology deployment, and human capability development through coordinated design and training strategies. This research contributes to marine engineering literature by providing integrated frameworks for intelligent system design incorporating machinery performance, automation capabilities, and human factors supporting operational excellence in tropical maritime operations.

The fellow members of the organization must coordinate with each other and workztogether tozachieve thehgoals of the organization. Good communication from each member will definitely make the implementation of the organization run well, and vice versa. Activities that occur in the organization are supported by organizational communication, In organizational communication there are three sides of view that are of course different, namely communication from superiors to subordinates, communication between members and the last is communication that comes from members to their superiors and it can be seen from each point of view that communication has its own pattern. The delivery of messages or information from these patterns is known to affect the performance or work results of members in the organization. Therefore, the purpose of this study is specifically to find out and prove howzthe influencezof organizational comunication patterns on the performance of BEMP IKOM UNJ members for the 2024/2025 period. The research methodology is quantitative and uses a data collection method with a survey type. The results show that the independent variable in this study, namely organizational communication patterns, affects the dependent variable, namely member performance. It is known that the variable of organizational communication patterns has an effect of 31% on member performance. Then it can also be concludedzthat the influence of several variables that were not tested and then inserted into the form of this study was 69%.

This study examines the influence of work experience, knowledge, education, and leadership policies on the implementation of PSAK 109 for Zakat, Infaq, and Sadaqah accounting at Zakat Management Bodies in Pontianak City and Kubu Raya Regency, West Kalimantan. Although PSAK 109 is essential for ensuring transparency and accountability in zakat fund management, its implementation remains suboptimal in practice. A quantitative survey was conducted by distributing questionnaires to zakat officers (amil) at BAZNAS and Zakat Collection Units. Using purposive sampling, the data were analyzed through validity, reliability, classical assumption tests, and multiple linear regression. The findings reveal that work experience, knowledge, and leadership policies significantly and positively affect PSAK 109 implementation, while education does not show a significant effect. Collectively, all variables have a significant influence. The study concludes that practical competence, technical understanding, and supportive internal policies are more crucial than formal education. Strengthening training and leadership policies is recommended to enhance accountability and transparency.  

This study aims to 1). Observe and understand the stages of propagating F2 white oyster mushroom seedlings at Wairita Farm. 2). Compare the growth of F2 white oyster mushroom seedlings between corn cobs and a mixture of corn cobs and wood powder. 3). Improve the skills and add to the experience and knowledge of students so that they can apply the knowledge they have gained in the lecture hall. This study used a comparative descriptive experimental approach, which is to compare the growth of F2 white oyster mushroom (Pleurotus ostreatus) seedlings on two different types of seedling media. This research was conducted at the Wairita Farm in Wairbleler Village, Waigete District, Sikka Regency, East Nusa Tenggara Province, over a period of 7 days (Monday to Sunday) during working hours from 08:00 to 16:30 with a break from 11:30 to 14:00. This location was chosen because it is an agricultural business unit engaged in the cultivation of white oyster mushrooms (Pleurotus ostreatus). The study period was 3 months, from September 17 to November 17, 2025. Independent variables and dependent variables. Data were obtained through direct observation of mycelium growth, daily recording during the incubation period, and visual documentation. The results of this study indicate that the success of white oyster mushroom F2 seedling propagation is greatly influenced by the suitability of the medium to the physiological and ecological characteristics of the mushroom. A mixture of corn bran and wood powder proved to be more suitable and is recommended for use in the propagation of F2 white oyster mushroom seeds compared to pure corn bran media.

The factors influencing lowland rice production in Padang City are the focus of this study. The study was conducted through a field survey of lowland rice farmers to obtain primary data relevant to farming activities. The analysis method used was multiple linear regression with the dependent variable being lowland rice production (Y) and independent variables including land area (X₁), seeds (X₂), fertilizer (X₃), labor (X₄), and farming experience (X₅). The research findings show that simultaneously all production factors, including land area, seeds, fertilizer, labor, and farming experience, have a significant effect on lowland rice production in Padang City. Partially, the variables of fertilizer and labor have a significant effect on lowland rice production, while land area, seeds, and farming experience have no significant effect. These findings indicate that the increase in lowland rice production in Padang City is more determined by input intensification efforts, particularly through appropriate fertilization and labor availability, compared to land expansion. As a result, agricultural policies need to be directed at increasing input efficiency to support the productivity and sustainability of rice farming.

This study analyzes the impact of learning motivation levels on student attendance discipline at the Saint Ignasius Catholic Vocational School in Wairterang. The background of the problem highlights the low level of student attendance, which is caused by the lack of intrinsic and extrinsic motivation in the vocational education environment. This phenomenon impacts the effectiveness of learning and overall student achievement. The purpose of the study is to identify the causal relationship between learning motivation and attendance discipline, and to measure the significant influence of motivation variables on attendance discipline. The approach used is quantitative with a Likert-scale questionnaire survey method. The study sample involved students in grades X-XII at the Saint Ignasius Catholic Vocational School in Wairterang, with data analysis using simple linear regression to test the hypothesis. The results of the study are expected to show a positive and significant influence of learning motivation on attendance discipline. Practical implications include recommended strategies for guidance and counseling (BK) teachers, such as individual counseling programs, attendance-based reward systems, and the integration of intrinsic motivation through vocational extracurricular activities. These strategies are expected to improve learning effectiveness and build students' disciplined character in vocational high schools

This study analyzes the impact of learning motivation levels on student attendance discipline at the Saint Ignasius Catholic Vocational School in Wairterang. The background of the problem highlights the low level of student attendance, which is caused by the lack of intrinsic and extrinsic motivation in the vocational education environment. This phenomenon impacts the effectiveness of learning and overall student achievement. The purpose of the study is to identify the causal relationship between learning motivation and attendance discipline, and to measure the significant influence of motivation variables on attendance discipline. The approach used is quantitative with a Likert-scale questionnaire survey method. The study sample involved students in grades X-XII at the Saint Ignasius Catholic Vocational School in Wairterang, with data analysis using simple linear regression to test the hypothesis. The results of the study are expected to show a positive and significant influence of learning motivation on attendance discipline. Practical implications include recommended strategies for guidance and counseling (BK) teachers, such as individual counseling programs, attendance-based reward systems, and the integration of intrinsic motivation through vocational extracurricular activities. These strategies are expected to improve learning effectiveness and build students' disciplined character in vocational high schools

The rapid growth of e-commerce has intensified competition among digital businesses, making pricing and discount strategies critical in influencing consumer purchase decisions. This study aims to examine the effect of original product price and price after discount on consumer purchase decisions on e-commerce platforms. A quantitative causal research design was employed using secondary data derived from publicly available e-commerce transaction records. Data analysis was conducted through descriptive statistics, correlation analysis, and multiple linear regression to assess the partial and simultaneous effects of pricing variables on purchase decisions, which were measured using a price-based purchase decision index. The findings indicate that both original price and discounted price have a significant negative effect on consumer purchase decisions. This suggests that lower displayed and final prices increase consumers’ likelihood of making a purchase. Furthermore, the discounted price was found to exert a more dominant influence than the original price, highlighting the importance of perceived value in online purchasing behavior. This study contributes to the digital marketing literature by providing empirical evidence on pricing effects in e-commerce and offers practical insights for e-commerce platforms in designing effective and data-driven pricing and discount strategies.

A student's learning success is largely determined by their academic evaluation. Estimating a student's final grade can assist educational institutions in conducting initial assessments of academic achievement. This study aims to analyze the performance of the Multiple Linear Regression (MLR) and Random Forest (RF) algorithms in predicting students' final grades using Google Colab. This research method uses a quantitative approach using secondary data that includes age, mid-term exam scores, final exam scores, and categorical variables as independent variables, with the final grade as the dependent variable. The research process is carried out through data preprocessing steps, dividing training and test data, model training, and performance evaluation using Mean Squared Error (MSE), Mean Absolute Error (MAE), and the coefficient of determination (R2). The results show that the Random Forest algorithm provides more accurate prediction accuracy compared to the Multiple Linear Regression algorithm, especially in identifying nonlinear relationships between variables. Therefore, the Random Forest algorithm is more recommended for predicting students' final grades with complex data characteristics.

This study aims to examine the impact of anime and manga on increasing the learning motivation of students in the Japanese Literature Study Program at Universitas Nasional PASIM. As elements of modern Japanese popular culture, anime and manga function not only as a form of entertainment media but also as sources that can foster students’ interest in the Japanese language and culture. The rapid advancement of technology and the increasing ease of access to anime and manga through various digital platforms have making them an integral part of students’ daily lives, making their impact on education an important topic of study. This study employed a quantitative research method using a survey approach. This study gathered data through questionnaires completed by 33 students enrolled in the Japanese Literature program. Due to the relatively small population size, a total sampling technique was applied, involving all members of the population in the study. The data obtained were analyzed through validity, reliability, and normality tests, as well as the coefficient of determination, to assess the appropriateness of the research instruments and to examine the influence of anime and manga on students’ learning motivation. The analysis demonstrates that the indicators for anime and manga as well as learning motivation have fulfilled validity and reliability requirements, suggesting that the instruments are appropriate for application. A coefficient of determination of 55.1% indicates that anime and manga have a substantial contribution to students’ learning motivation, while the remaining proportion is affected by other variables not addressed in this research. These results suggest that anime and manga function not only as forms of entertainment but also as supportive learning media capable of enhancing the learning motivation of Japanese Literature students.

Customer churn is a strategic challenge for digital streaming platforms because it directly Impacts revenue and business sustainability. This study aims to analyze the factors influencing customer Churn and develop a churn prediction model using the Random Forest algorithm. The study uses a Quantitative approach with an explanatory design and utilizes secondary data from the Netflix Customer Churn and Engagement Dataset available on Kaggle. The dataset consists of 1,000 customer data with 16 Variables covering demographic characteristics, service usage behavior, financial condition, and customer Satisfaction level. The data was processed through preprocessing, one-hot encoding, and a 70:30 split Between training and test data. Model performance was evaluated using accuracy, precision, recall, F1 Score, and ROC-AUC metrics. The results show that the Random Forest model produces an accuracy of 53.7%, precision of 56.3%, recall of 63.6%, F1-score of 59.7%, and ROC-AUC of 0.534, indicating Moderate predictive ability and only slightly better than random classification. Feature importanceAn.evealed that user engagement levels, such as viewing duration and frequency of interactions, Were the most dominant factors influencing churn, followed by economic factors and customer satisfaction. The results of this study are expected to provide a basis for streaming platforms to design more effective Customer retention strategies.

This study aims to analyze the influence of interest rates, exchange rates, and coffee production on the value of coffee exports in South Sulawesi. The background of this study is based on the condition of South Sulawesi coffee exports which have experienced significant fluctuations in recent years despite coffee production tending to increase. This study uses a quantitative approach with time series data for the period 2009-2023 sourced from the World Bank, International Monetary Fund and the Directorate General of Plantations, the Food Crops, Horticulture and Plantation Service of South Sulawesi Province. Data analysis was conducted using multiple linear regression through the EViews 12 application with the classical assumption test as a model prerequisite. The results show that partially interest rates have a significant effect on coffee exports, while exchange rates and coffee production do not have a significant effect. Simultaneously, the three independent variables do not have a significant effect on the value of coffee exports. This finding indicates that external factors, especially interest rates, are more dominant in determining the performance of South Sulawesi coffee exports than internal factors of production and exchange rates.

This study aims to compare the performance of Multiple Linear Regression (MLR) and Random Forest Regression (RFR) in predicting student performance based on academic scores. Student performance is defined as the average of math scores, Reading Scores, and writing scores. This study uses a quantitative approach with a comparative design based on predictive modeling. The data used is secondary data from the Student Prediction dataset obtained through the Kaggle platform, which was processed using the Python programming language through the Google Colab platform. The analysis stages included the formation of performance variables, the separation of training and test data with a ratio of 80:20, model training, and evaluation using the Mean Squared Error (MSE), Mean Absolute Error (MAE), and coefficient of determination (R²) metrics. The results show that the Multiple Linear Regression model produced an MSE value of 2.74 × 10⁻²⁸, an MAE of 1.51 × 10⁻¹⁴, and an R² of 1.000. Meanwhile, Random Forest Regression produced an MSE of 0.296, an MAE of 0.375, and an R² of 0.998. These findings indicate that both models have a very high level of accuracy, but Multiple Linear Regression provides the best performance. This is due to the strong linear relationship between the input variables and the target variables formed directly from the combination of academic values. Thus, the linear regression model is proven to be more suitable for use in data structures that have simple linear relationships compared to ensemble-based models.

This study examines the influence of Work Motivation, Leadership Style, Work Commitment, and Teamwork on the Work Performance of employees at the Directorate of Security (Ditpam) of the Batam Business Agency (BP Batam). A quantitative approach with an associative research design was employed. The population consisted of all Ditpam BP Batam employees, totaling 94 respondents, selected using a purposive sampling technique. Data were collected through questionnaires that had been tested for validity and reliability. The collected data were analyzed using multiple linear regression, along with simultaneous testing (F-test) and partial testing (t-test). The results indicate that simultaneously, Work Motivation, Leadership Style, Work Commitment, and Teamwork have a significant effect on employee Work Performance, as shown by an F-count of 12.455, which exceeds the F-table value of 2.47, and a significance value of 0.001 (< 0.05). Partially, each independent variable also demonstrated a significant influence on work performance, with t-count values exceeding the critical t-table value. These findings suggest that higher motivation, effective leadership, strong work commitment, and solid teamwork play an important role in improving employee performance. Therefore, it is recommended that the management of the BP Batam Security Directorate continuously enhance employee motivation, apply participatory leadership practices, strengthen organizational commitment, and foster harmonious teamwork to improve overall work performance.