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This study aims to analyze the effectiveness, contribution, and optimization strategies of Restaurant Tax and Hotel Tax in supporting the sustainability of Local Own-Source Revenue (PAD) of Bogor City. The study employed a descriptive method with a quantitative approach supported by qualitative data. The results indicate that the effectiveness levels of Restaurant Tax and Hotel Tax in Bogor City were categorized as highly effective, with average effectiveness ratios of 107.24%, and 117.74%, respectively. However, the contribution of Restaurant Tax to Local Own-Source Revenue was only 13.55%, which falls into the less contributive category, while the contribution of Hotel Tax was 8.03%, categorized as very low contributive. Based on the SWOT analysis, the reccomended optimization strategies include expanding the tax base through taxpayer data collection and updating, optimizing digital-based payment and monitoring systems, enhancing human resource capacity, strenghening tax education and outreach programs, developing risk based supervision, and improving inter agency cooperation. The implementation of these strategies is expected to increase the revenue and contribution of Restaurant Tax and Hotel Tax in supporting the sustainability of Bogor City’s Local Own-Source Revenue.

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.

The implementation of Income Tax Article 22 on import activities plays a strategic role in securing state revenue and controlling international trade flows. However, corporate taxpayers frequently encounter substantial barriers regarding regulatory compliance and technical administrative procedures. This study aims to analyze the compliance level of corporate taxpayers concerning the collection and reporting of Income Tax Article 22 on import activities, while identifying the primary obstacles faced during the process. The research employs a qualitative descriptive method with a case study approach conducted at the Tax Allowance Office. Primary data were gathered through semi-structured interviews with corporate taxpayers and tax authorities, supplemented by secondary data from tax compliance reports and related documentation. The findings indicate that while formal compliance regarding timely reporting has significantly improved due to digital administrative transformations like the e-Bupot system, substantial challenges remain in material compliance. Corporate taxpayers routinely face difficulties in classifying import tariff codes accurately and interpreting the frequent updates to tax incentives. This study implies that the tax authority needs to intensify specialized socialization programs and optimize the integration of data systems between the Directorate General of Taxes and the Directorate General of Customs and Excise. These strategic improvements are crucial to minimizing administrative discrepancies and enhancing overall tax compliance.

This study aims to analyze the effect of Gross Regional Domestic Product (GRDP), Local Taxes, and Population on Local Own-Source Revenue (PAD) in 35 regencies/cities of Central Java Province during 2021–2023. The study employs a quantitative approach using secondary data obtained from the Central Java Statistics Agency (BPS) and Local Government Budget Realization Reports (LRA). The sample was selected using a census sampling technique and analyzed using multiple linear regression after classical assumption testing. The results indicate that GRDP and Local Taxes have a significant effect on PAD, while Population does not have a significant effect on PAD. These findings imply that local governments should prioritize regional economic growth and optimize local tax collection to strengthen fiscal capacity rather than relying solely on population growth. The novelty of this study lies in its integrated examination of GRDP, Local Taxes, and Population across all 35 regencies/cities in Central Java during the 2021–2023 period, providing updated empirical evidence to support regional fiscal policy and local revenue optimization.

Advancements in information technology encourage MSMEs to utilize information systems to enhance the effectiveness of their business management. Es Teh Arjuna, an MSME in Tegal City, faces challenges in monitoring partner sales and managing revenue because transactions are recorded manually using disparate methods; this results in slow data recapitulation, a risk of recording errors, and difficulty for the business owner in quickly accessing sales information. This study aims to analyze requirements, design, develop, and test a web-based information system for partner sales and revenue that provides information in  real-time. The Waterfall model was used for system development, while data collection involved observation, interviews, and a literature review. The system was developed using PHP and MySQL and tested via Black Box Testing. The results demonstrate that the system successfully integrates sales data from all outlets into a centralized database, streamlining the management of products, outlets, employees, cashiers, and sales transactions, as well as facilitating the generation of revenue reports for specific periods. Furthermore, the system enables the business owner to monitor sales performance more quickly, accurately, and systematically, thereby supporting decision-making and improving the operational efficiency of Es Teh Arjuna.

This study aims to analyze the contribution of state and regional taxes to state revenue and regional fiscal independence in Indonesia. Taxes are the primary source of revenue used to finance governance and national and regional development. The study employed a qualitative descriptive method with a literature review approach and secondary data analysis derived from the State Budget (APBN) report, the Central Statistics Agency (BPS), and various scientific articles indexed by Sinta. The data were analyzed to identify the contribution of taxes to state revenue and the role of regional taxes in increasing Regional Original Income (PAD). The results show that tax revenue remains the largest source of state revenue, with dominant contributions coming from Income Tax (PPh) and Value Added Tax (PPN). Furthermore, regional taxes play a crucial role in enhancing regional fiscal capacity and supporting the implementation of regional autonomy. The effectiveness of tax management is influenced by the level of taxpayer compliance, the digitalization of tax administration, and the quality of government oversight. This study implies that optimizing the tax system through digital transformation and increasing public awareness can sustainably strengthen state and regional revenue.

This study examines the effects of Net Profit Margin, audit opinion, and firm size on audit delay among construction companies listed on the Indonesia Stock Exchange from 2019 to 2025. Audit delay is measured as the period between the fiscal year-end and the issuance date of the independent auditor’s report. Timely financial reporting is particularly important in the construction sector due to its complex long-term projects, progress-based revenue recognition, cost estimation, and high financial risks. Using a quantitative approach, the study analyzes secondary data from annual financial statements and independent auditor reports. The sample includes 14 construction companies observed over seven years, producing 98 observations. Panel data regression was conducted using EViews, with the Chow, Hausman, and Lagrange Multiplier tests identifying the Random Effect Model as the most appropriate estimation method. The findings show that Net Profit Margin does not significantly affect audit delay. In contrast, audit opinion and firm size have negative and significant effects, indicating that favorable audit opinions and larger company size are associated with shorter audit completion periods. Collectively, the three variables significantly influence audit delay, although they explain only 15.75% of its variation.

The increasing competition in the coffee shop industry requires Micro, Small, and Medium Enterprises (MSMEs) to continuously improve service quality and product quality to maintain customer satisfaction and business sustainability. Ngopi Pojok 98 experienced a decline in revenue over several months, indicating potential problems related to service performance and product consistency. This study aims to analyze the improvement of customer satisfaction after implementing service quality and product quality enhancements at Ngopi Pojok 98. This research employed a quantitative approach using a One Group Pretest–Posttest Design. The sample consisted of 50 respondents selected through purposive sampling. Data were collected using questionnaires administered before and after the improvement program and analyzed using validity tests, reliability tests, the Shapiro–Wilk normality test, and the Paired Sample t-Test with the assistance of SPSS software. The results showed that all instruments were valid and reliable. The normality test indicated a significance value of 0.291 (>0.05), confirming normal data distribution. Furthermore, the Paired Sample t-Test produced a significance value of 0.000 (<0.05), indicating a significant difference in customer satisfaction before and after the improvements. The average satisfaction score increased from 29.68 to 34.88. These findings confirm that enhancing service quality and product quality effectively improves customer satisfaction in coffee shop MSMEs.

Corruption committed by the leader of an independent state oversight institution represents a paradox that fundamentally undermines the legitimacy of government governance. This study examines the case of Hery Susanto, Chairman of the Ombudsman of the Republic of Indonesia, who was designated as a corruption suspect by the Attorney General's Office on April 16, 2026—merely six days after his inauguration—in connection with alleged bribery of Rp1.5 billion from PT Toshida Sulawesi Hijau Indonesia involving the management of Non-Tax State Revenue (PNBP) in the nickel mining sector for the period 2013–2025. This study aims to analyze the manifestation of the three elements of the Fraud Triangle—pressure, opportunity, and rationalization—within this case, and to formulate systemic implications for corruption prevention in independent state institutions. Employing a normative-empirical legal research approach with a case study method, data were collected through documentation and qualitative content analysis of legal documents, official press releases from the Attorney General's Office, and verified media reports. The findings reveal that pressure stemmed from financial motivation and career ambition; opportunity arose from weak internal oversight mechanisms, the perpetrator's strategic position, and regulatory gaps in Law Number 37 of 2008; while rationalization manifested through cognitive justification that framed the receipt of compensation as a reasonable reward for services rendered. This study contributes to the literature on forensic accounting and corruption criminology, while recommending the establishment of an independent Ombudsman Supervisory Board and the strengthening of a digital-based early detection system.

Gatot, a fermented-cassava food, is the culinary icon of Gatot Tourism Village in Sumberpucung Subdistrict, Malang Regency. Cafe Koka, the pioneering gatot business in the area, faces two problems that hold back its growth. Its drying process still relies on sunlight, so production stops during the rainy season and the failure rate reaches 30–40%, while product presentation lacks adequate display facilities, lowering its appeal and selling value. This community-service program installed a 5 kg-per-batch cabinet dryer and two display refrigerators, accompanied by dried-gatot packaging development and staff training. The work followed a Plan-Do-Check-Act cycle combined with participatory mentoring over eight months, evaluating production and marketing indicators. After the program, drying time dropped from 2–4 days to about 4–5 hours, the product failure rate fell to 8–10%, and drying uniformity rose to about 90%. On the marketing side, impulse purchases increased by more than 40%, customer satisfaction with product display reached 4.5 of 5 (n=50), and monthly revenue grew about 175% owing to the new packaged-gatot line. Combining production and marketing technology strengthened the self-reliance of this local-food micro-enterprise.

This study aims to analyze the process and implications of changes in the General Budget Policy (KUA) and the Temporary Budget Priorities and Ceilings (PPAS) on the preparation of the Revised Regional Revenue and Expenditure Budget (APBD) for the Fiscal Year 2025 at the Regional Financial and Asset Management Agency (BPKAD) of Sikka Regency. The research employs a qualitative descriptive approach using secondary data in the form of planning and budgeting documents as well as internship activity results. The findings indicate that the preparation process of KUA–PPAS has been conducted in accordance with applicable regulations, starting from planning based on RPJMD and RKPD, formulation by the Regional Government Budget Team (TAPD), and discussions with the Regional House of Representatives (DPRD), supported by the SIPD system. Changes in KUA–PPAS are influenced by internal factors such as discrepancies in revenue and expenditure realization, program shifts, and the utilization of budget surplus (SiLPA), as well as external factors including central government policy changes, macroeconomic conditions, and emergency situations.

This study examines Income Tax provisions under the latest tax regulations in Indonesia, explains the procedures and mechanisms for calculating Income Tax based on the Law on Harmonization of Tax Regulations (HPP Law), and evaluates the contribution of Income Tax to state revenue and equitable income distribution. This research applies library research with a qualitative descriptive approach. The data were collected from relevant sources, including laws and regulations, academic books, scientific articles, research journals, and official government publications related to Income Tax policy in Indonesia. The data were analyzed systematically to identify regulatory developments, tax calculation mechanisms, and the implications of tax policy for national state revenue and fiscal justice. The findings show that the HPP Law establishes five progressive tariff layers for Individual Taxpayers, with a maximum rate of 35% imposed on taxable income exceeding IDR 5 billion per year. This provision reflects the principles of ability to pay and vertical equity in Indonesia’s tax system. Furthermore, the Corporate Income Tax rate of 22%, along with various rate-reduction incentives for eligible taxpayers, can enhance business competitiveness and reduce tax burdens. Tax administration modernization through e-Filing, e-Billing, e-Bupot, and Coretax also improves service efficiency and strengthens taxpayer compliance more effectively.

This study aims to analyze the implementation of Land and Building Tax (Pajak Bumi dan Bangunan or PBB) collection and its significant impact on local revenue generation. Land and building tax is a crucial component of local government revenue in Indonesia, especially following the implementation of regional autonomy and fiscal decentralization policies. Despite its critical role in funding local infrastructure and public services, the realization of PBB often falls short of its potential targets. This research utilizes a qualitative descriptive approach, employing secondary data collected from local revenue agencies and extensive literature reviews of previous academic publications. The objectives are to evaluate the effectiveness of current collection mechanisms, identify the primary obstacles hindering taxpayer compliance, and assess the overall contribution of PBB to regional financial independence. The findings reveal that while the administrative framework for PBB collection is generally well-established, practical implementation faces numerous challenges, including outdated land value assessments, low taxpayer awareness, suboptimal database management, and limited human resources within the tax apparatus. Furthermore, the study indicates that targeted digitalization of tax services and proactive public socialization campaigns can significantly enhance compliance rates. Practically, the results provide valuable recommendations for local policymakers to reform their tax collection strategies, optimize revenue streams, and ensure sustainable regional development.

This study aims to analyze the influence of Regional Original Revenue (PAD), General Allocation Fund (DAU), Special Allocation Fund (DAK), and Tax Revenue Sharing Fund (DBHP) on Regional Expenditure, as well as to analyze whether the flypaper effect phenomenon occurs in Regencies/Cities in Jambi Province during the 2017-2023 period. The data used in this study is panel data that combines time series data for 7 years and cross-section data from 11 Regencies/Cities in Jambi Province. The analysis method used is panel data regression with the selected model Fixed Effect Model (FEM). The results of the study show that simultaneously (F Test), the variables PAD, DAU, DAK, and DBHP have a significant effect on Regional Expenditure. Partially (t Test), PAD and DBHP do not have a positive and significant effect on Regional Expenditure, while DAU and DAK show a positive and significant effect on Regional Expenditure. This study also found a flypaper effect in regencies/cities in Jambi Province. This indicates that regional governments in Jambi Province tend to be more responsive in increasing regional spending using transfer funds from the central government rather than optimizing their own potential Regional Original Revenue (PAD).

Food waste is still a significant problem, affecting food security, the environment, and the global economy. More than 53% of food produced becomes waste. Food waste worldwide totals 1.3 trillion annually. One of the districts with a high food waste rate is Banyumas. The most significant contributor to waste in the Banyumas region in 2021 was food waste, accounting for 39.85%, with much of it generated by restaurants. Restaurants play an essential role in managing food waste, as most food discarded at the preparation stage cannot be reused. This study aims to analyze the relationship between demographics and food waste reduction to support a digital technology approach from a restaurant perspective. This study used quantitative methods. The respondents of this study were 100 restaurants located in Banyumas, including A La Carte, Ramesan, Tegal, and Padang, and the data were analyzed using ANOVA. The results show that demographic factors, including income, age, restaurant opening hours, and the prices of best-selling foods, influence food waste in restaurants. The recommendation is for restaurants to prepare and plan menus. This will affect food prices, opening hours, and revenue. Some restaurants can increase their knowledge of handling food waste.

This study analyzes the effect of Village Fund Allocation (ADD) and Village Original Revenue (PADes) on village expenditure in the villages of Bone Raya District, Bone Bolango Regency. The research was motivated by two fiscal phenomena: PADes remained very small and unequal across villages, while relatively similar ADD allocations did not produce similar development expenditure outcomes. A quantitative causal-associative approach was applied using secondary data from APBDes realization reports for four villages—Alo, Bunga, Mootayu, and Mootinello—during 2023–2025. The data consisted of 36 quarterly observations and were analyzed using descriptive statistics, classical assumption tests, multiple linear regression, t-tests, F-tests, and the coefficient of determination. The regression result shows that ADD has a positive and significant effect on village expenditure, with a coefficient of 0.844 and a significance value of 0.000. PADes has a positive but insignificant effect, with a coefficient of 0.065 and a significance value of 0.064. Simultaneously, ADD and PADes significantly affect village expenditure, explaining 56.7% of its variation. These findings indicate that village expenditure in Bone Raya District remains highly dependent on government transfers, while PADes has not yet become a decisive source of village fiscal capacity. Strengthening local revenue generation, asset management, BUMDes development, and participatory budgeting is therefore essential to improve fiscal independence and expenditure effectiveness.

This study examines how tax knowledge, the use of e-filing systems, and the enforcement of tax penalties influence individual taxpayers’ compliance in filing annual tax returns. Tax compliance is a critical factor for the sustainability of government revenue, yet public compliance rates remain suboptimal. The research employs a quantitative approach with an associative causal design, involving 131 respondents in West Jakarta selected through convenience sampling. The instrument, consisting of a questionnaire with 34 items, was tested for validity and reliability and then analyzed using multiple linear regression with the aid of SPSS. The results of the analysis indicate that tax knowledge, the use of e-filing, and tax penalties have a positive effect—both partially and simultaneously—on compliance with annual tax return filing. These findings underscore the need to improve tax literacy, strengthen the e-filing system, and ensure consistent enforcement of penalties to encourage compliance. This study provides an empirical basis for the development of more inclusive and efficient tax policies and supports the government’s strategy to optimize state revenue by raising taxpayer awareness and fostering a sense of responsibility.

Tax avoidance practices remain a crucial issue due to their potential to erode state revenue and hinder national development financing. This study aims to analyze and evaluate the effect of fixed capital intensity, Environmental, Social, and Governance (ESG) performance, and political connections on tax avoidance practices. The research method used is quantitative with a panel data analysis approach under the selected Random Effect Model (REM) estimation. The research population covers all companies listed on the Indonesia Stock Exchange (IDX) for the 2023–2024 period. Through the purposive sampling method, a final sample of 259 companies was obtained, resulting in 518 observation data over two years. The partial empirical results demonstrate that fixed capital intensity has a significant negative effect on tax avoidance. Conversely, both ESG performance and political connections are proven to have a significant positive effect on tax avoidance. Simultaneously, the three independent variables significantly influence corporate tax avoidance actions, contributing an Adjusted R-squared value of 10.43%. The practical implication of this study emphasizes the urgent need for tax authorities to increase oversight on companies indicated to be utilizing ESG reporting as a greenwashing strategy or leveraging political protection to avoid taxes. For corporate management, these findings serve as an evaluation to align sustainability commitments with ethical fiscal compliance.

TPS 3R is a community-based waste management approach aimed at reducing waste generation through reduce, reuse, and recycle activities. However, the operational sustainability of TPS 3R still faces several challenges,including  waste processing effectiveness, and community participation. This study aims to analyze the community’s Willingness to Pay (WTP) for waste management fees and to formulate priority recommendations for improving the performance of TPS 3R Banjar Sugihan using the Quality Function Deployment (QFD) method. The research was conducted in Banjar Sugihan Village, Tandes District, Surabaya City, involving 563 household respondents. WTP analysis was carried out using the bidding game method, while QFD analysis was conducted through the preparation of the House of Quality (HoQ). The results showed that the community’s WTP ranged from IDR 16,000 to IDR 19,000 per month. If applied to all 3,758 households in Banjar Sugihan Village, the potential retribution revenue is estimated to reach IDR 60,128,000–IDR 71,402,000 per month. The QFD analysis indicated that the priority strategies for improving TPS 3R performance include enhancing infrastructure facilities, optimizing waste sorting and processing, increasing waste processing capacity, strengthening human resource capacity, and implementing a WTP-based retribution system. Therefore, the implementation of a WTP-based retribution system and priority strategies derived from QFD analysis are expected to support the sustainability of waste management at TPS 3R Banjar Sugihan.

Motor Vehicle Tax (PKB) is a key pillar of Regional Original Revenue (PAD) that supports development funding. However, seasonal fluctuations in payment realization create uncertainties in local budget planning. This study aims to address the limitations of the standard Random Forestalgorithm, which suffers from extreme prediction failures on time-series data due to its inability to capture temporal transitions between months. The proposed solution implements feature engineering using a Cyclical Encoding approach (Sine and Cosine transformations) and Lagged Variables. The dataset comprises historical records of motor vehicle tax potential and realization from January 2021 to November 2025. The baseline model evaluation without feature engineering yields highly inaccurate predictions with a Mean Absolute Percentage Error (MAPE) of 203.47% (accuracy of -103.47%). Conversely, after integrating Cyclical Encoding and Lagged Variables, the proposed model's performance improves drastically, achieving a MAPE of 14.40% (an accuracy rate of 85.60%), an MAE of 9,317 units, and an RMSE of 12,638 units. Feature Importance analysis confirms that the cyclically encoded month feature contributes the highest weight to the model's decisions with a score of 0.5031, followed by the potential feature at 0.1798. This study demonstrates that time-based feature engineering effectively optimizes Random Forestfor precise tax revenue forecasting.