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This study analyzed the effectiveness and contribution of the Food and/or Beverage Tax, Hotel Services Tax, and Art and Entertainment Services Tax to Jakarta's Regional Own-Source Revenue during 2018–2024, and formulated policy recommendations based on fishbone (Ishikawa) analysis for the lowest-performing tax type. A descriptive quantitative approach supported by qualitative analysis was employed. Secondary data were obtained from Regional Government Financial Reports, while primary data were gathered through in-depth interviews with the Regional Revenue Agency, a tax consultant, an event organizer, and a venue operator. The Hotel Services Tax recorded the highest average effectiveness at 108.25%, followed by the Food and/or Beverage Tax at 100.72%, and the Art and Entertainment Services Tax at 98.88%. All three fell under the very low contribution category, with the Art and Entertainment Services Tax recording the lowest average at 1.16%. Fishbone analysis identified six root cause categories: disproportionate staffing and insufficient socialization (Man), reactive collection mechanisms (Method), limited tax technology implementation (Machine), misclassified business data and weak regulatory dissemination (Material), underreported revenues and high tax rates suppressing voluntary compliance (Measurement), and high entertainment sector elasticity with slow post-pandemic recovery (Environment). Policy recommendations were formulated across all six factors to optimize regional tax revenue.

Pierhead casting is a critical activity in toll road infrastructure projects that requires continuous concrete supply to maintain quality and execution time. Factors influencing the smooth casting process include the regularity of truck mixer arrival intervals and the work cycle of the truck concrete pump. This study aims to analyze the effect of truck mixer intervals and truck concrete pump performance on the productivity of pierhead casting at Pierhead P37S on the Solo–Yogyakarta–NYIA Toll Road Project, Section 2 Package 2.1A. The analysis method used field observation through time study techniques to measure the cycle duration of truck mixers and the operating time of the truck concrete pump. The analysis stages included calculating cycle time, productivity, production capacity, and working duration of each equipment. The results show that the truck concrete pump achieved a productivity of 0.425 m³/minute, while the truck mixer reached 0.989 m³/minute. These values were influenced by cycle time, equipment condition, work area condition, execution method, and work volume. Based on duration analysis, the truck concrete pump required about 4.7 hours to complete the casting of 120 m³ of ready-mix concrete, while the truck mixer required 2.022 hours to support the concrete supply process.

Good study habits are an important factor in achieving success in elementary school learning. However, based on observations in class 3 of SDN 1 Bugel, it was found that students still show less disciplined behavior during the learning process, especially during group activities, such as talking without permission, not paying attention, and not following classroom rules. This study aims to improve students' study discipline in grade 3 of SDN 1 Bugel by using the Star Rewards system within the cooperative learning model called Numbered Heads Together (NHT). This study uses the Classroom Action Research (PTK) approach with a two-cycle design following the Kemmis and McTaggart model. The research subject is 17 third-grade students from SDN 1 Bugel. Data collection was done through observation, questionnaires, documentation, field notes, and interviews. Data analysis was done using both quantitative and qualitative descriptive techniques. The research results show that using the Star Rewards system in cooperative learning type NHT has significantly improved students' discipline in studying. The average score on the discipline questionnaire increased from 69.5 in cycle I to 85.5 in cycle II, showing an increase of 16.03 points. The minimum score for students has gone up from 50 to 75, showing that all students have improved in terms of discipline. Giving positive reinforcement through stars has been proven to motivate students to be more disciplined, focused, and responsible during learning. This finding suggests that combining the NHT model with the Star Rewards system can be an effective strategy for helping build discipline in elementary school students.

The advancement of digital technology has encouraged the transformation of airport services, including the implementation of Customer Service through Contact Center 172. This study aims to analyze the implementation of Contact Center 172 in improving service responsiveness at Adi Soemarmo International Airport, Boyolali. The study employed a descriptive qualitative approach with a case study method. Data were collected through observation, interviews with five informants, and documentation, and analyzed using the Miles and Huberman interactive analysis model consisting of data collection, data reduction, data display, and conclusion drawing. The findings indicate that the implementation of Contact Center 172 has supported digital service transformation through an integrated communication system that facilitates real-time information delivery and complaint handling. The service has improved Customer Service responsiveness by providing easier access to information, faster response times, and more effective coordination among service units. Supporting factors include competent human resources, integrated systems, and adequate digital facilities, while the main obstacles involve limited internet connectivity, system maintenance disruptions, high complaint volumes, and limited user understanding of digital services. Therefore, strengthening technological infrastructure, improving staff competencies, and increasing public awareness are essential to optimize digital-based airport services.

The surge in young investors in the country indicates that university students are increasingly drawn to the financial markets. Unfortunately, the soundness of students' investment choices often lacks a foundation of clear reasoning, as they remain swayed by social influences, limited insight, and the rapid technological advancements that facilitate access to investment opportunities. This study aims to unravel the determinants of students' investment decisions through the lens of the Theory of Planned Behavior (TPB), focusing on financial literacy, risk tolerance, and technology—three factors frequently examined in existing literature. A qualitative approach was adopted, involving a literature review of scholarly articles published between 2020 and 2024. Data gathered from relevant academic sources were analyzed using content analysis techniques to identify research patterns, conceptual relationships, and the consistency of prior findings. The results reveal that the Theory of Planned Behavior effectively explains students' investment decisions through the interplay of attitudes, subjective norms, and perceived behavioral control. Financial literacy emerges as the most robust and consistent determinant influencing investment decisions; risk tolerance shapes investment preferences; and technology acts as a catalyst, enhancing accessibility and convenience. These findings suggest that deepening financial literacy—supported by optimal technology use and adequate risk awareness—can empower students to make investment decisions that are rational, well-calculated, and long-term oriented.

This study aims to analyze the effect of exchange rate on transfer pricing with tax minimization as a moderating variable. The research employs a quantitative approach using secondary data obtained from companies’ financial statements. The analytical methods include regression analysis and interaction testing to examine the moderating role. The results indicate that tax minimization does not strengthen the effect of exchange rate on transfer pricing, but instead weakens the relationship, leading to the rejection of the second hypothesis (H2). These findings suggest that companies tend to rely more on tax efficiency strategies rather than responding to exchange rate fluctuations in determining transfer pricing policies. This study implies that internal company factors play a more dominant role than external factors in influencing transfer pricing decisions.

This study aims to analyze the implementation of Dayak local wisdom values in the Merdeka Curriculum at public elementary schools in Pulang Pisau Regency, Central Kalimantan. Dayak local wisdom, which encompasses values such as mutual cooperation, solidarity, tolerance, environmental awareness, and respect for cultural traditions, plays a significant role in shaping students' character amid the challenges of globalization and the disruptive era. This research employs a qualitative approach using a case study method. The research participants include school principals, teachers, students, and educational stakeholders from several public elementary schools in Pulang Pisau Regency. Data are collected through observations, in-depth interviews, documentation, and literature reviews. Data analysis is conducted using an interactive model consisting of data reduction, data display, and conclusion drawing. The findings are expected to provide a comprehensive description of how Dayak local wisdom values are integrated into the planning, implementation, and evaluation of learning activities within the Merdeka Curriculum framework. Furthermore, the study seeks to identify supporting and inhibiting factors affecting the implementation of local wisdom in educational practices and to formulate strategic recommendations for strengthening character education and preserving local culture in elementary schools. The results are expected to serve as a reference for educational policy development that promotes cultural preservation and enhances the quality of learning in accordance with the socio-cultural context of local communities.

This study aims to compare the performance of three boosting algorithms, namely XGBoost, LightGBM, and CatBoost, to predict the success of MSMEs. The data used consists of 250 entries with 13 attributes that include business actor characteristics, initial capital, industry experience, financial record-keeping, internet utilization, business planning, partnerships, and the target variable success. The pre-processing stage includes checking for missing values, standardizing numerical attributes, and splitting the data into 80% training data and 20% test data. The evaluation results show that XGBoost provides the best performance with an accuracy of 0.92, precision of 0.8333, recall of 0.8333, F1-score of 0.8333, and ROC-AUC of 0.9715. LightGBM has an accuracy of 0.88, while CatBoost achieves an accuracy of 0.90. The research results show that XGBoost has the best ability to classify successful and unsuccessful MSMEs. The feature importance results also show that the success of MSMEs is influenced by a combination of several key factors. This research emphasizes that boosting algorithms are effectively used as predictive models to support the analysis of MSME success.

The purpose of this study is to analyze the influence of Corporate Social Responsibility (CSR), Financial Distress, and Altman Z-Score on Dividend Decisions in automotive sector companies listed on the Indonesia Stock Exchange (IDX) for the 2020–2025 period. This study is motivated by fluctuations in the Dividend Payout Ratio (DPR) in the automotive sector, which indicates changes in company dividend policy due to economic conditions, financial performance, and non-financial factors that influence management decision-making. The research method used is a quantitative approach with a causal associative research type to examine the relationship between the independent and dependent variables. The study population consists of automotive sector companies listed on the IDX, while the sample was determined using a purposive sampling technique based on certain criteria. Research data were obtained from annual reports and company financial statements for the 2020–2025 period. Data analysis was carried out using the Dividend Payout Ratio (DPR) as a proxy for dividend decisions and statistical testing to determine the effect of CSR, Financial Distress, and Altman Z-Score on company dividend, the data were processed using SPSS.

Patient satisfaction is a key indicator of health service quality in the National Health Insurance era. Outpatient services for BPJS members still face problems regarding waiting time, communication, and facilities. This study aimed to analyze factors affecting BPJS patient satisfaction with outpatient service quality at Malahayati Islamic Hospital Medan in 2026. A cross-sectional analytic design was applied to 150 respondents selected through consecutive sampling. Data were collected using a validated questionnaire (r>0.361; α=0.876) and analyzed by Chi-square and multiple logistic regression. Results showed that waiting time (p<0.001), staff competence (p<0.001), staff attitude (p<0.001), drug availability (p=0.032), facility comfort (p<0.001), administrative ease (p=0.003), and information clarity (p=0.008) were significantly associated with satisfaction. Multivariate analysis revealed waiting time as the most dominant factor (OR=5.42; 95% CI: 2.31–12.71), followed by staff competence (OR=4.18), facility comfort (OR=2.87), and staff attitude (OR=2.42), with Nagelkerke R²=0.512. Hospital management should optimize service flow and adopt digital queuing systems to enhance patient satisfaction.

This study investigates why applicants who have passed the initial admissions stage do not proceed to final enrolment in an Indonesian private higher education context. While student recruitment is often measured by the number of applications received, institutional sustainability depends on the ability to convert applicants into enrolled students. This study employed a descriptive survey design supported by thematic analysis of open-ended responses. Data were collected from 179 applicants who had participated in the admissions process but did not complete final re-registration. The data were analyzed using frequencies, percentages, and thematic categorization. The findings show that conversion failure is influenced by several factors, including waiting for public university admission results, financial constraints, postponement of study plans, family considerations, uncertainty about the institution or study programmed, preference for other institutions, and campus accessibility. A key finding reveals that 58.1% of respondents would reconsider enrolment if scholarships, tuition discounts, or other financial assistance were available. These findings highlight the need for a conversion management strategy through targeted financial aid, transparent cost communication, family engagement, and proactive applicant follow-up.  

This study aims to examine the implementation of Probolinggo City Regional Regulation Number 2 of 2024 concerning the Respect, Protection, and Fulfillment of the Rights of Persons with Disabilities, specifically regarding entrepreneurial rights in Kanigaran District. A descriptive qualitative approach with a single case study design was employed. Data were collected through in-depth interviews with four key informants, field observation, and documentary study. Data analysis used Miles and Huberman's interactive model, interpreted through Thomas B. Smith's policy implementation theory encompassing four variables: Idealized Policy, Target Groups, Implementing Organization, and Environmental Factors. Findings indicate that implementation has been underway but has not yet reached an optimal state. The policy possesses strong normative substance, yet socialization to target groups remains shallow and uneven. Entrepreneurial motivation among persons with disabilities is high, but constrained by limited capital, social stigma, transportation barriers, and insufficient post-training mentorship. The DKUP has conducted training and marketing facilitation programs, however capital support capacity and sustained mentorship remain critically limited. Environmental factors reveal potential through the KDK community and digital technology, while social stigma and transportation infrastructure continue to pose significant obstacles.

This research aims to analyze the gap between the profit-sharing principle as the normative foundation of Islamic economics and the risk management practices applied in sharia cooperatives, considering the ongoing inconsistencies in the implementation of the risk-sharing principle. The research method employs a qualitative approach thru literature study with thematic and comparative analysis techniques on relevant academic literature. The results and discussion indicate that sharia cooperatives tend to adopt a conventional risk management paradigm oriented toward institutional stability, thereby triggering the dominance of non-profit-sharing contracts and the shift of the concept of risk sharing to risk shifting in operational practices. The gap is influenced by structural factors, including limitations in managerial capacity, information asymmetry, potential moral hazard, and pressures of institutional sustainability. This study concludes that the risk management practices of sharia cooperatives do not fully reflect the principles of Islamic economics, thus necessitating a reconstruction of a more integrative and contextual risk management model. As a suggestion, sharia cooperatives need to develop a risk management framework based on risk sharing that is adaptive to operational risks without disregarding the values of justice and partnership as the main characteristics of Islamic economics.

The rapid development of digital technology has transformed the way organizations conduct business activities and manage human resources. These changes require organizations to have employees who are not only competent but also possess a high level of employee engagement to adapt effectively to the dynamic work environment. This study aims to analyze the role of transformational leadership in enhancing employee engagement among employees of Ranch Market in the digital era. Transformational leadership is regarded as a leadership style that inspires, motivates, and encourages employees to develop their potential through a clear vision, effective communication, and individualized consideration. This research employed a quantitative approach by collecting data through questionnaires distributed to Ranch Market employees. Data analysis was conducted to examine the relationship between transformational leadership dimensions and employee engagement, which includes vigor, dedication, and employee involvement in their work. The findings indicate that transformational leadership plays a positive and significant role in improving employee engagement. Leaders who are able to inspire, build trust, encourage innovation, and support employee development have been proven to strengthen employees’ attachment to the organization. Furthermore, transformational leadership fosters a supportive and adaptive work environment, enabling employees to respond effectively to technological changes and evolving work systems. The results suggest that the implementation of transformational leadership can serve as an effective strategy for organizations in addressing the challenges of the digital era while promoting productivity, employee commitment, and sustainable organizational performance. Therefore, transformational leadership remains a crucial factor in maintaining a highly engaged workforce and achieving long-term competitive advantage.

The stock market is a place to buy shares for profit. In Indonesia, energy stocks are highly unpredictable because global commodity prices change constantly. This study examines what affected energy stock returns in 2024, focusing on trading volume, price swings, company profits, and cash flow. Using financial reports and statistical analysis, all these factors were tested together and individually. The results show that combined, all these factors do affect stock returns. However, when looked at one by one, only the company's net profit truly matters to investors. On the other hand, busy trading, daily price swings, and cash flow have no impact at all. In fact, all the factors studied only account for 14% of stock return movements, while the remaining 86% is driven by other outside forces. In conclusion, for those looking to invest in energy stocks, the most important thing to watch is the company's ability to generate net profit, rather than just looking at how busy daily transactions are in the market.

This study aims to analyze the role of parents in improving children’s reading and writing literacy skills at SDN 08 Kurnia, Semedang Village, Kuala Behe Subdistrict, Landak Regency. This study employs a descriptive qualitative approach, with data collected through in-depth interviews, observation, and documentation. Data analysis was conducted through the stages of data reduction, data presentation, and drawing conclusions based on the research findings. The results indicate that the role of parents in improving children’s reading and writing literacy skills in Semedang Village has not yet been fully realized. In terms of education, parental involvement remains limited due to a lack of understanding regarding effective learning support. In terms of motivation, parents have not consistently encouraged learning activities within the family. In terms of facilitation, the family’s economic constraints are one of the factors preventing the provision of literacy support materials, such as reading books and learning media. In terms of guidance, time constraints due to work demands have prevented the intensity of support for children’s learning activities from reaching its full potential. This situation is influenced by several factors, including internal factors such as parents’ educational backgrounds and family economic conditions, as well as external factors such as a surrounding environment that does not yet support a culture of literacy, the influence of peers, and the use of digital media. These factors have prevented the establishment of sustainable literacy activities within the family environment.

Independent Nursing Practice (INP) is a form of healthcare service that provides direct care to the community, including Homecare services. Public interest in these services is influenced by various factors; however, the dominant factors affecting interest in the Tambah Rejo area have not been clearly identified. This study aimed to identify and analyze factors associated with interest in Homecare services at independent nursing practices and to determine the most influential factor. This study employed a quantitative approach using an analytical survey design with a cross-sectional method. A total of 153 respondents were selected through purposive sampling. Data were collected using questionnaires and analyzed using the Chi-square test and multiple logistic regression. The results showed significant relationships between economic factors (p = 0.023; OR = 2.187), distance (p = 0.003; OR = 0.361), comfort (p < 0.001; OR = 49.67), service quality (p = 0.009; OR = 0.404), family support (p < 0.001; OR = 52.62), patient satisfaction (p < 0.001; OR = 0.212), and interest in Homecare services. Multiple logistic regression analysis revealed that comfort was the most dominant factor influencing interest in Homecare services (p < 0.001; OR = 0.124). Comfort was identified as the strongest determinant affecting community interest in Homecare services at independent nursing practices. Therefore, improving comfort in service delivery should be a primary priority in the development of independent nursing practices.

Abstract. This research aims to analyze the effectiveness and reliability of production machines in the process of making public street lighting poles (PJU) at PT. XYZ The main problem faced by the company is high machine downtime so that production targets are not achieved. Therefore, a method is needed that is able to measure machine effectiveness as a whole and identify the main causes of production losses. The method applied includes Overall Equipment Effectiveness (OEE) to measure machine effectiveness based on three components, namely availability, performance and quality. The Total Productive Maintenance (TPM) approach is used to identify factors causing low effectiveness through Six Big Losses analysis. Apart from that, Mean Time To Repair (MTTR) and Mean Time Between Failure (MTBF) are calculated to determine the level of machine reliability. The data used includes machine working hours, downtime, operating time, production quantities, defective products, as well as machine damage and repair data. The analysis results are expected to show the level of machine effectiveness and identify the dominant factors causing downtime. Based on these results, improvement proposals are prepared to reduce downtime, increase machine reliability and improve production productivity Keywords: Overall Equipment Effectiveness (OEE), Total Productive Maintenance (TPM), Six Big Losses, Downtime, Efektivitas   Abstrak. Penelitian ini bertujuan untuk menganalisis efektivitas dan keandalan mesin produksi pada proses pembuatan tiang penerangan jalan umum (PJU) di PT. XYZ Permasalahan utama yang dihadapi perusahaan adalah downtime mesin yang tinggi sehingga target produksi tidak tercapai. Oleh karena itu, diperlukan metode yang mampu mengukur efektivitas mesin secara menyeluruh dan mengidentifikasi penyebab utama kerugian produksi. Metode yang diterapkan meliputi Overall Equipment Effectiveness (OEE) untuk mengukur efektivitas mesin berdasarkan tiga komponen, yaitu availability, performance, dan quality. Pendekatan Total Productive Maintenance (TPM) digunakan untuk mengidentifikasi faktor penyebab rendahnya efektivitas melalui analisis Six Big Losses. Selain itu, dilakukan perhitungan Mean Time To Repair (MTTR) dan Mean Time Between Failure (MTBF) untuk mengetahui tingkat keandalan mesin. Data yang digunakan mencakup jam kerja mesin, downtime, waktu operasi, jumlah produksi, produk cacat, serta data kerusakan dan perbaikan mesin. Hasil analisis diharapkan dapat menunjukkan tingkat efektivitas mesin dan mengidentifikasi faktor dominan penyebab downtime. Berdasarkan hasil tersebut, disusun usulan perbaikan untuk mengurangi downtime, meningkatkan keandalan mesin, dan memperbaiki produktivitas produksi Kata kunci: Overall Equipment Effectiveness (OEE), Total Productive Maintenance (TPM), Six Big Losses, Downtime Mesin, Efektivitas Mesin

This study aims to examine the implementation of Interpretation of Financial Accounting Standards (ISAK) 335 in the financial management of non-profit foundations in Tanah Datar Regency, particularly in Rambatan and Sungai Tarab Districts. The study employed a qualitative case study approach using semi-structured interviews with financial managers from four foundations: Yayasan SLB Az-Zahra, Yayasan Darul Ulum/Darul Hafazah, Yayasan Daarut Tahfidz Al-Sulaiman, and Yayasan Jabal Rahmah. Data were analyzed using thematic analysis to identify the level of ISAK 335 implementation and the factors affecting its adoption. The findings reveal that none of the foundations have implemented ISAK 335 in preparing their financial statements. The main obstacles include the limited availability of personnel with accounting expertise, simple bookkeeping practices focused only on cash inflows and outflows, inadequate understanding of accounting standards for non-profit entities, and dependence on a single source of operational funding. Consequently, the financial statements do not comply with applicable accounting standards, resulting in low levels of transparency, accountability, and financial information quality. This study recommends enhancing the capacity of financial managers through training, gradually adopting ISAK 335, utilizing digital bookkeeping systems, and diversifying funding sources to strengthen accountable financial governance and ensure organizational sustainability.

Independent Nursing Practice (INP) is a form of healthcare service that provides direct care to the community, including Homecare services. Public interest in these services is influenced by various factors; however, the dominant factors affecting interest in the Tambah Rejo area have not been clearly identified. This study aimed to identify and analyze factors associated with interest in Homecare services at independent nursing practices and to determine the most influential factor. This study employed a quantitative approach using an analytical survey design with a cross-sectional method. A total of 153 respondents were selected through purposive sampling. Data were collected using questionnaires and analyzed using the Chi-square test and multiple logistic regression. The results showed significant relationships between economic factors (p = 0.023; OR = 2.187), distance (p = 0.003; OR = 0.361), comfort (p < 0.001; OR = 49.67), service quality (p = 0.009; OR = 0.404), family support (p < 0.001; OR = 52.62), patient satisfaction (p < 0.001; OR = 0.212), and interest in Homecare services. Multiple logistic regression analysis revealed that comfort was the most dominant factor influencing interest in Homecare services (p < 0.001; OR = 0.124). Comfort was identified as the strongest determinant affecting community interest in Homecare services at independent nursing practices. Therefore, improving comfort in service delivery should be a primary priority in the development of independent nursing practices.