Publication Search

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.

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.

The increasing number of mental health disorders in various countries has created an urgent need for innovation in the diagnosis and treatment process. This problem not only impacts individuals' quality of life but also creates a significant social and economic burden. One solution that is beginning to be widely researched is the use of artificial intelligence (AI) in the field of mental health. This research used a literature review of various previous studies discussing the role, application, and impact of AI. The results of the review indicate that AI technology, particularly in the form of digital applications such as chatbots, has great potential to support the recovery process for patients with mental disorders. AI-based chatbots can provide responsive, two-way interactions, so users feel heard and receive initial emotional support. One technical approach used is Natural Language Processing (NLP), which enables the system to understand natural human language. Simultaneously, Long Short-Term Memory (LSTM) algorithms are used to analyze language patterns and detect symptoms of depression more accurately. Various studies have reported that the application of NLP and LSTM can improve the reliability of diagnoses and provide responses tailored to user needs. Furthermore, AI can provide personalized recommendations, tailor interventions to the user's condition, and monitor mental health developments in real time. This has the potential to assist mental health practitioners in making faster and more informed decisions. However, the adoption of AI among practitioners remains relatively low. Influencing factors include limited technological understanding, limited infrastructure, and debates over ethical aspects and data privacy. Therefore, while AI has significant potential to improve the quality of mental health services, regulations, ethical guidelines, and synergy between technology and healthcare professionals are needed to ensure safe and effective implementation.

The government’s efforts to provide protection for trademark rights holders have been implemented by enacting and updating laws on trademarks. However, in reality, crimes against trademark rights continue to occur, including in the jurisdiction of the Tanjung Karang District Court. This research addresses the following issues: What are the judges' considerations in cases of unauthorized use of registered trademarks, and how is the criminal analysis of such offenses reflected in Decision Number: 381/Pid.Sus/2023/PN.Tjk? This study uses normative and empirical legal research methods, with statutory and conceptual approaches. The data type used is secondary data obtained through literature study. Data processing involved selection, classification, and organization. The data were analyzed using a descriptive qualitative method. The findings of this research indicate that the judge's legal basis in sentencing the defendant for the unauthorized use of a registered trademark in Decision Number: 381/Pid.Sus/2023/PN.Tjk includes juridical considerations—specifically that the defendant was legally and convincingly proven to have committed a criminal offense as regulated under Article 100 paragraph (1) of Law Number 20 of 2016 concerning Trademarks and Geographical Indications. Philosophically, the judge considered the imposed sentence as a means of rehabilitation and deterrence. Sociologically, the judge weighed both aggravating and mitigating factors in the sentencing. Criminal liability for the offender was based on the fulfillment of criminal responsibility elements, namely that the defendant was an adult and legally capable of committing the act. The element of fault was fulfilled, as the defendant knowingly and intentionally used a registered trademark without authorization, fully aware that such an act constitutes a criminal offense. The element of the absence of justification or excuse was also met, as the defendant committed the offense in a conscious and sound state of mind, without coercion.

This paper explores the transformative influence of artificial intelligence (AI) on the accounting profession, particularly within the Accountant General of the Federation (OAGF). The research investigates how AI-driven innovations are reshaping traditional accounting practices and redefining the role of accountants. By conducting a systematic literature review, this study identifies three primary dimensions of AI’s impact: the automation of repetitive tasks such as data entry, transaction processing, and reconciliation; enhanced data analytics capabilities, which include predictive modeling and real-time decision support; and the evolution of accountants' roles toward more strategic and value-added activities, such as financial advisory and risk management. The automation of routine processes through AI allows accountants to focus on higher-level tasks that require judgment, creativity, and expertise, ultimately enhancing the overall efficiency of the accounting function. Furthermore, AI’s advanced data analytics tools provide more accurate insights, enabling accountants to offer more effective financial guidance and make more informed decisions. As AI reduces the time spent on manual processes, accounting professionals can improve their role in advising on business strategy, improving risk management, and identifying new growth opportunities. The study’s findings underscore the importance of embracing AI in the accounting profession, not only to improve operational efficiency, reduce costs, and scale operations but also to enable accountants to stay competitive in a rapidly evolving technological landscape. The paper concludes by emphasizing that adopting AI is essential for accountants to remain relevant and continue providing valuable contributions to their organizations. Future research should focus on the long-term implications of AI on accounting ethics and the development of necessary skills for accounting professionals to thrive in the age of AI.

The purpose of this study is to determine the extent to which the relationship between quality and promotion influences customer decisions in selecting Micro People's Business Credit (KUR) products at PT Bank Sumsel Babel KC Palembang. This study applies a quantitative approach, where the entire population consists of 765 customers, with 88 people being sampled through a purposive sampling technique. The data sources used in this study include primary and secondary data, obtained through direct interviews with related parties and the distribution of questionnaires to respondents who have met the research criteria. To analyze the data, a series of instrument feasibility tests, classical assumption tests, and data processing using multiple linear regression analysis were conducted. This analysis includes a t-test (partial), F-test (simultaneous), and the coefficient of determination (R²) to measure the strength of the influence of the independent variables on the dependent variable. Based on the results of the analysis, it was found that both service quality and promotion have a positive and significant influence on consumer decisions, both partially and simultaneously. This indicates that the better the service quality and the more effective the promotion, the higher the tendency of consumers to decide to choose KUR Micro products. The coefficient of determination (R²) of 0.894 indicates that 89.4% of customer decisions can be explained by service quality and promotions, while the remaining 10.6% is influenced by other factors not examined in this study, such as economic conditions, personal experience, recommendations from third parties, and psychological factors. These results provide an important influence for bank management in developing more targeted service and promotion strategies. The results of this study can also serve as a basis for strategic policy-making in developing banking products based on customer needs.

The purpose of this study is to examine the extent to which the relationship between leadership style and teamwork influences the work results of employees of Bank Sumsel Babel, Kapten A. Rivai Branch, Palembang. This study uses a quantitative approach with a population and sample of 59 people determined through a saturated sampling method, so that the entire population becomes research respondents. Research data were obtained from two sources, namely primary data through the distribution of questionnaires to employees, and secondary data that supports the results of data processing. Data analysis was carried out comprehensively by including testing classical assumptions to ensure model validity, testing the feasibility of research instruments, calculating the coefficient of determination, and applying multiple regression analysis tested through the F test and t test. The results of the study indicate that leadership style and teamwork have a positive and significant influence on employee performance, both partially and simultaneously. This finding shows that effective leadership and solid teamwork can increase employee productivity and work quality. The large contribution of both independent variables to employee performance is indicated by the coefficient of determination value of 66.2%, which means that more than half of the variation in employee performance can be explained by leadership style and teamwork. Meanwhile, the remaining 33.8% is influenced by factors outside this study, such as the work environment, individual motivation, and organizational reward systems. This study emphasizes the importance of appropriate leadership and synergy among team members in building optimal employee performance. The practical implication of these findings is the need for management to continuously improve leadership quality and encourage better teamwork in the banking workplace.

The purpose of this research is to understand and examine the level of understanding and problems faced by teachers towards the implementation of the independent curriculum in physical education learning. The population of this study is all PJOK subject teachers in Pasuruan Regency and use cluster random sampling. The instruments in this research used questionnaires, interviews and documentation. Data analysis techniques use quantitative and qualitative descriptive techniques. Quantitative analysis is obtained from the results of teachers filling out questionnaires and analyzed using percentage formulas. While qualitative analysis using data reduction, data presentation, and making conclusions. The results of filling out a questionnaire on the level of teacher understanding of the implementation of the independent curriculum in physical education learning in elementary schools in Pasuruan Regency were obtained 75,53% with the category of understanding most. At the planning stage, 76,40% were obtained, the learning implementation stage was 74,74%, the learning assessment was 74,99%, the processing and reporting stage of assessment results was 75,64%, and the reflection and follow-up stage was 75,26%. Furthermore, the problem that becomes difficult is when carrying out learning which leads to strengthening the Pancasila Student Profile. So it can be concluded that the level of teacher understanding of the implementation of the independent curriculum in PJOK learning in junior high schools in Pasuruan Regency results in understanding most of it. And the most difficult problem lies in Pancasila Student Profile.  

In the midst of increasing organizational competition, issues of low organizational commitment remain prevalent, including at the Office of Public Works, Spatial Planning, Housing, and Settlement Areas of Bali Province, as indicated by a high absenteeism rate and ineffective work behaviors. These problems are suspected to be influenced by inadequate training methods, low self-efficacy among employees, and a lack of job satisfaction. The present study explores the extent to which employee training and perceived self-efficacy contribute to fostering organizational commitment, with job satisfaction positioned as an intervening construct. Conducted within the context of the Public Works, Spatial Planning, Housing, and Settlement Agency of Bali Province, the research engaged a workforce population of 610 individuals. Through the application of the Slovin formula, a representative sample of 86 respondents was identified. Data were gathered through a combination of structured questionnaires, in-depth interviews, and document review. Analytical processing was undertaken using path analysis to model the causal relationships among variables. The empirical evidence revealed that both training initiatives and self-efficacy perceptions have a favorable and statistically significant relationship with employees’ commitment to the organization. These two factors were also found to positively affect job satisfaction. Furthermore, job satisfaction emerged as a critical determinant that reinforces organizational commitment. The analysis further supports the mediating role of job satisfaction, demonstrating that the influence of training and self-efficacy on organizational commitment is also conveyed indirectly through improved job satisfaction levels. The findings of this study highlight the importance of investing in employee development through effective training programs and boosting self-efficacy to enhance job satisfaction.

The purpose of this study is to analyze the influence of the work environment, work pressure, and social support on the performance of employees at the palm oil processing factory of PT. Tani Prima Makmur. This research was conducted at the office of the palm oil processing factory located in Lerehoma, Anggaberi District, Konawe Regency. A questionnaire was used as the primary tool for data collection, with a Likert scale employed to measure the responses to various statements related to the work environment, work pressure, social support, and employee performance. Multiple linear regression analysis was applied to examine the relationships between the independent variables (work environment, work pressure, and social support) and the dependent variable (employee performance). The results of the t-test revealed that the significance value of the work pressure variable (X2) is 0.000, which is smaller than the 5% threshold (0.000 < 0.05), indicating that work pressure significantly affects employee performance. Similarly, the significance value for the social support variable (X3) is 0.000, which is also smaller than 0.05, suggesting that social support has a significant impact on employee performance. In contrast, the significance value for the work environment variable (X1) is 0.615, which is greater than 0.05 (0.615 > 0.05), indicating that the work environment does not significantly affect employee performance in this case. These findings suggest that while work pressure and social support are crucial factors influencing employee performance, the work environment may not play as significant a role in improving performance at PT. Tani Prima Makmur. The study highlights the importance of providing adequate support and managing work pressure to enhance employee productivity in the palm oil processing industry. Further research may explore other potential factors that could contribute to improving employee performance in similar contexts.

Human resources (HR) are a crucial component of any organization, playing a vital role in determining its development and success. One key aspect of HR management is employee performance, which reflects the quality and quantity of employee output in meeting company targets. This study focuses on PT REX Denpasar, a logistics company that experienced fluctuations in monthly revenue throughout 2023. This phenomenon indicates performance issues related to work quantity, delivery accuracy, and time efficiency. Several operational issues identified included variability in staff productivity, delays in delivery schedules, and inaccuracies in shipping data processing. To explore solutions to these challenges, the study examined the role of managerial leadership and financial incentives in improving employee performance, with job satisfaction as a mediating variable. This study covered all 40 employees of PT REX Denpasar, using a comprehensive enumeration sampling method. Data were collected through structured questionnaires, in-depth interviews, and a review of organizational records. Analysis was conducted using a structural path modeling approach to examine the relationships between variables. The results showed that managerial leadership had a significant effect on job satisfaction, as did the financial incentives provided by the company. Furthermore, leadership quality and compensation systems have been shown to have a positive correlation with improved employee performance. Furthermore, job satisfaction was found to act as a substantial mediator, strengthening the influence of leadership and compensation on performance. Thus, improving leadership quality and improving compensation mechanisms not only have a direct impact but also an indirect impact through increased job satisfaction.

The purpose of this study is to assess how important attitudes are in relation to the career adaptability of PT. Lima Berjaya Persada Kutorejo - Mojokerto. The respondents in this study who work at PT. Lima Berjaya Persada Kutorejo - Mojokerto, was given a total of 49 questionnaires. Saturated sampling and sampling methods used in this kind of quantitative research. As a result, 49 employees were used as research samples. The data analysis method used is descriptive statistical analysis, especially the SEM-PlS test. Software called Smart Pls 4.0 is used to help with data processing. Analysis of external models (measurement models) used to analyze data. This study uses validity and reliability tests. The following in-depth analysis of the model (structural model evaluation) includes model quality testing (fit model), the use of a bootstrapping approach to test hypotheses, and cross-validation redundancy assessment (Q2). The test results showed that: 1) attitude had a significant and positive influence on Organizational Citizenship Behavior; 2) attitudes have a considerable influence on career adaptability; and 3) organizational citizenship behavior has a great influence on career adaptability. This study provides additional information for interested parties in the world of work about  the influence of attitude on career adaptability through organizational citizenship behavior (ocb) of PT. Lima Berjaya Persada Kutorejo- Mojokerto. In addition, this research is also expected to be a guideline, reference, or reference for future research, The results of this research are expected to be useful for readers and add insight about  the influence of attitude on career adaptability through the organizational citizenship behavior (ocb) of PT. Lima Berjaya Persada Kutorejo – Mojokerto.

This study aims to determine audience perceptions of the Instagram Reels advertisement content of Wardah Matte Lip Cream "Tasya Farasya Approved" edition. This advertisement is the result of a collaboration between the local cosmetics brand Wardah and the famous beauty influencer Tasya Farasya. This phenomenon is interesting to study considering the trend of influencer-based marketing is increasingly dominant in beauty product promotion strategies, especially in building emotional closeness with consumers and maintaining loyalty to local brands. Consumer perception is an important aspect because it will influence purchasing interest, brand image, and future purchasing decisions. This study uses the perception theory from Jalaludin Rakhmat (2015) which explains that perception is a person's experience of an object or phenomenon obtained through the process of processing, interpreting, and drawing conclusions from the information received. Based on this theory, this study adopted a quantitative descriptive approach. Data were collected by distributing questionnaires to 100 respondents who are followers of Wardah's official Instagram account. Respondents were selected using purposive sampling to ensure the relevance of the data to the research focus. Descriptive data analysis was conducted using SPSS software to identify audience perception patterns regarding advertising content elements, such as visual appeal, message relevance, influencer credibility, and the product image's alignment with Wardah's brand image. This analysis is expected to reveal the extent to which brand and beauty influencer collaborations can create positive perceptions in consumers' minds. The research findings are expected to contribute to the development of digital marketing strategies in the cosmetics industry, particularly in utilizing influencer marketing effectively. Furthermore, the findings of this study can serve as a reference for other local brands in designing promotional campaigns that are relevant, engaging, and aligned with the characteristics of their target audience on social media.

This research is motivated by the low level of community participation in the process of forming Village Regulations in Sukamantri Village, Ciawi District, Tasikmalaya Regency, which has resulted in less than optimal public involvement in decision-making at the village level. The purpose of this study is to determine the extent of community participation in the formation of Village Regulations and to identify inhibiting factors and efforts made by the village government to increase such participation. This study uses a qualitative method with 11 informants consisting of village officials, community leaders, and villagers. Data were collected through literature studies, observations, in-depth interviews, and documentation. Data analysis was conducted qualitatively by processing information from interviews and observations to draw conclusions. The results of the study indicate that community participation in the formation of Village Regulations in Sukamantri Village is still not optimal. The main obstacles faced include limited implementation time which results in some community members being unable to attend official forums, low legal literacy and understanding of the importance of involvement in village policy formulation, ineffective mechanisms for conveying aspirations, and the dominance of certain figures in the decision-making process which limits the representation of all elements of society. To overcome these obstacles, the village government has undertaken various efforts, including expanding outreach through neighborhood associations (RT/RW) and social media, opening additional discussion forums at the hamlet level, and involving various community groups, including women and youth, in village meetings. These efforts are expected to increase community awareness, involvement, and satisfaction with the Village Regulation drafting process, so that in the future, Village Regulation drafting can be more transparent, inclusive, and able to accommodate the aspirations of all levels of society.

Indonesia is a unitary state, has a lot of diversity that combines various nationalities, dialects, religions, and communities. Therefore, as a diverse nation, moderation in religion is needed so that there is no degenerate behavior that can divide a country. Internalization of religious values in a multicultural society is an effort to integrate religious values with cultural and religious diversity in society. The main purpose of this internalization is to increase tolerance, respect diversity, and form an inclusive religious culture. This study aims to discuss the internalization of religious moderation values in a multicultural society. This study uses a qualitative approach and data processing using descriptive-analytical methods. Data processing is used as a benchmark to find out how the internalization of religious moderation values in a multicultural society, then takes several sources from the Bantengan village community to be used as research objects, in order to answer the main research questions, including: 1) How is the process of conveying understanding the values of religious moderation in a multicultural society in Bantengan Village. 2) How is the negotiation process with the community regarding the values of religious moderation in a multicultural society in Bantengan Village. 3) -How is the implementation of the values of religious moderation in a multicultural society in Bantengan Village? From the results and discussion of this study, it shows that there are several ways that the Bantengan village community does to internalize the values of religious moderation in a multicultural society. This study concludes that internalization of the values of religious moderation in a multicultural society in Bantengan Village can be done in various ways. An important effort to internalize the values of religious moderation in a multicultural society is to make the Bantengan village community a harmonious society by strengthening tolerance between religious communities, and having a spirit of justice between communities.

Based on Indonesia's 2021 health profile, the coverage of iron supplementation (IBT) for adolescent girls in Indonesia, North Maluku ranks lowest among all provinces in Indonesia, at 2.1%, and West Sumatra province, at 11.5%, ranks 29th out of 34 provinces. The province with the highest percentage of iron supplementation coverage for adolescent girls (Ministry of Health, 2021). Anemia is a common health problem among adolescent girls. Many adolescent girls still face the dangers of anemia in Padang City. There is a risk of anemia in 193 adolescent girls, according to the Padang City Health Office's screening of grade X female high school, vocational high school, and Islamic high school students in 2021. The Padang Community Health Center's work area has the highest risk of anemia in adolescent girls, namely 96 people and a percentage of 21.91%. Screening conducted at the Padang Community Health Center workplace in 2021 found that SMKN 9 Padang had the highest risk of anemia in adolescent girls with 25 confirmed cases and a percentage of 26.31%. The purpose of this study was to determine the Overview of the Level of Knowledge of Grade X Female Adolescents About Anemia at SMK N 9 Padang City in 2025.This type of research is "analytical descriptive" with a cross-sectional design. This research was conducted in February-March 2025 at SMK Negeri 9 Padang. The population of this study was all grade X students totaling 164 respondents at SMK Negeri 9 Padang. The sampling technique was simple random sampling with a sample size of 63 respondents.The results of the SPSS data processing showed that adolescents had good knowledge (9.5%), sufficient knowledge (25.4%), and insufficient knowledge (65.1%). The information sources were assessed from the internet (88.9%), books (1.6%), family (1.6%), friends (3.2%), and school (4.8%).

This study aims to utilize data mining techniques, specifically the K-Nearest Neighbors (KNN) algorithm, to classify leaf diseases in sugarcane (Saccharum officinarum). Early and accurate detection of leaf disease types is a crucial step in prevention and control strategies, thereby reducing potential crop losses caused by pathogen attacks. Leaf diseases in sugarcane, such as leaf scald, rust, and mosaic virus, are known to affect photosynthesis, inhibit growth, and reduce the quality and quantity of sugarcane produced. The classification process in this study was carried out through image analysis of infected sugarcane leaves, where features such as color, texture, and shape were extracted using digital image processing techniques. The KNN algorithm was chosen because of its non-parametric nature, ease of implementation, and its ability to provide accurate classification results even with limited data size. The working principle of KNN is to determine the class of a new sample based on the majority class of its k nearest neighbors in the feature space, making it very suitable for the case of leaf disease image classification. In addition to building a classification model, this study also examines disease prevention strategies based on the identification results. These strategies include the use of disease-resistant sugarcane varieties, the implementation of appropriate planting patterns, land moisture management, regular plantation sanitation, and the measured and environmentally friendly use of pesticides or fungicides. Model performance evaluation was conducted using accuracy, precision, recall, and F1-score metrics to assess model effectiveness across various data scenarios. The results of this study are expected to not only contribute to the development of decision support systems for farmers and related parties but also support the application of artificial intelligence-based technology in the agricultural sector.

This study aims to analyze and examine the influence of company size, profitability, and liquidity on going-concern audit opinions in companies listed on the Indonesia Stock Exchange (IDX). Going-concern audit opinions are important indicators provided by auditors to assess the company's future business continuity. Factors such as company size, profitability, and liquidity are often associated with the auditor's likelihood of issuing such an opinion. The research method used is a quantitative method with an associative approach. The types and sources of data used in this study are secondary data in the form of annual financial reports of companies listed on the IDX during the 2019–2023 period. Sampling was carried out using a purposive sampling method, namely determining samples based on certain criteria relevant to the research objectives. From this process, 375 observational data samples were obtained. Data processing and analysis were carried out using IBM SPSS (Statistical Product and Service Solutions) version 27 software, which allows for accurate and measurable statistical testing. The results of the study indicate that company size does not affect going-concern audit opinions, so the size of the company's assets is not a determining factor for auditors in issuing such an opinion. Meanwhile, profitability was shown to have a significant influence on going-concern audit opinions, with companies with higher profitability tending to receive unmodified going-concern audit opinions. Conversely, liquidity had no effect on going-concern audit opinions, indicating that the ability to meet short-term obligations is not always a primary consideration for auditors. These findings are expected to contribute to company management, auditors, and investors' understanding of the factors influencing going-concern audit opinions.  

This study examines the effectiveness of the SIM Nasional Presisi (SINAR) application in facilitating the renewal of driver’s licenses at the Driver’s License Administration Unit (SATPAS SIM) of Polda Metro Jaya, DKI Jakarta. The SATPAS is responsible for managing and issuing driver’s licenses, and recent technological advancements have enabled a transformation of the renewal process from an in-person service to an entirely online platform via the SINAR application. This innovation eliminates the need for applicants to physically visit the SATPAS office, offering greater accessibility and efficiency. The research adopts a qualitative descriptive approach, with data gathered through observation, structured interviews with relevant stakeholders, and documentation analysis. Campbell’s (1989) Program Effectiveness Theory serves as the analytical framework, utilizing five evaluation indicators: (a) program success, (b) program target determination, (c) program satisfaction, (d) input and output levels, and (e) overall goal achievement. Findings reveal that the SINAR application effectively integrates the issuance and renewal processes by connecting directly to the Korlantas Polri SIM Data Center. This integration ensures seamless verification and processing of applications. The program has achieved its intended targets, particularly in meeting public needs for a fast, accurate, and convenient service. The shift to online renewals has significantly reduced processing time and logistical burdens for applicants, contributing to a notable increase in the number of SIM renewals in 2023 compared to previous years. Furthermore, user feedback indicates high satisfaction levels, largely due to the convenience of remote access, the clarity of procedural instructions, and the reliability of the application’s features. Despite minor technical challenges, the overall implementation of the online SIM renewal service at SATPAS Polda Metro Jaya is deemed highly effective.

This study aims to explain and prove the hypothesis regarding the influence of investment decisions, financing decisions, and dividend policies on firm value in coal sub-sector companies listed on the Indonesia Stock Exchange (IDX) during the 2021–2023 period. This study used a quantitative approach with a purposive sampling method, resulting in 10 companies as research samples. Data analysis was conducted through classical assumption tests to ensure the fulfillment of regression analysis requirements, followed by hypothesis testing using multiple regression analysis. Data processing was carried out using E-Views software version 13. The results showed that partially, investment decisions have a positive and significant effect on firm value, with a probability value of 0.0000, which is smaller than the 0.05 significance level. This finding indicates that the more appropriate a company's investment decisions are, the higher the company's value is reflected in its stock performance in the capital market. Conversely, the financing decision variable does not have a significant effect on firm value, with a probability value of 0.3796, which is greater than 0.05. This indicates that the funding structure, whether derived from equity or debt, did not directly affect firm value during the study period. Similarly, the dividend policy variable did not significantly influence firm value, with a probability value of 0.7493 > 0.05. This means that the amount of dividends distributed was not a determining factor in firm value in the sample studied. However, simultaneously, all three independent variables—investment decisions, financing decisions, and dividend policy—were shown to have a significant effect on firm value, with a probability value (F-statistic) of 0.0000 < 0.05. This confirms that the combination of these three factors collectively contributes to changes in firm value in the coal sub-sector.