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Presidential Instruction Number 1 of 2025 concerning State Expenditure Efficiency gave rise to a fiscal paradox at the beginning of the new administration, with a cut of Rp306.69 trillion facing a 17.9% APBN deficit for flagship programs such as Free Nutritious Meals, which triggered doubts about public trust, especially students at the University of Jambi affected by the BOPTN adjustment. This study analyzes the influence of student perceptions on the dimensions of effective-efficient (X1) and transparent-accountable (X2) policies on public trust (Y) as an indicator of government legitimacy. A quantitative survey approach was applied to 400 active students at the University of Jambi (proportional random sampling using the Slovin e=0.05 formula), with SPSS multiple linear regression analysis after classical assumption testing, validity (r> r-table), and reliability (Alpha Cronbach's 0.920 (x1); 0.949 (x2); 0.918 (y)). The results show a significant simultaneous effect (F=200.951; sig=0.000), partial X1 is dominant (t=7.116; β=0.162; sig=0.000) and X2 is significant (t=5.532; β=0.110; sig=0.000), with R²=0.503 explaining 50.3% of the variation in trust. The findings confirm the theory of Easton (1965) and Weber (1947) that efficiency performance evaluation shapes trust, so it is recommended that a real-time APBN dashboard, transparent communication to regional PTNs, and fiscal literacy strengthen the legitimacy of good governance.

This research aims to improve the mathematics learning outcomes of Grade VII B students at SMP Darul Ulum 5 Rebalas through the implementation of Madurese language-based ethnomathematics. The study is motivated by the students' difficulties in understanding mathematical concepts delivered in formal Indonesian, as their daily communication relies on the specific Madurese dialect of Rebalas Village. This study employs the Classroom Action Research (CAR) method using the Kemmis and McTaggart model, conducted in two cycles. Each cycle consists of planning, action, observation, and reflection stages. The subjects of this research were 28 students from class VII B. The research instruments included test instruments in the form of group Student Worksheets (LKPD) and observation sheets for both teacher and student activities. The material focused on the topic of Lines and Angles. The results indicated an improvement in student learning outcomes from Cycle I to Cycle II. In Cycle I, the average group score was 80.2, which increased to 88 in Cycle II. Observations of student activities also showed a shift from passive participation in Cycle I to active and enthusiastic engagement in Cycle II. Furthermore, teacher observations showed significant improvement; initial issues regarding time management and excessive workloads were resolved, resulting in more enthusiastic and punctual teaching delivery. These findings demonstrate that the use of Madurese-based ethnomathematics helps students grasp mathematical terms more easily, increases discussion participation, and creates a more comfortable and interactive classroom atmosphere, thereby leading to improved learning outcomes.

The rapid development of digital technology, especially after the COVID-19 pandemic, has brought changes to people's behavior and lifestyle with the trend of digital payments. One of the advances in digital financial services technology is PayLater, a Fintech innovation that offers easy transactions in the form of loans and installments without a credit card. This study aims to analyze the influence of transaction convenience and risk perception on purchasing decisions using the PayLater feature on e-commerce platforms among Generation Z in Samarinda City. This study uses a quantitative approach with associative methods and multiple linear regression analysis using SPSS 27. The method used is purposive sampling to obtain a sample of 100 respondents from Generation Z in Samarinda City, aged 18-28 years, who have used PayLater on e-commerce platforms. The findings show that transaction convenience (X1) has a positive and significant effect on purchasing decisions, but risk perception (X2) does not have a significant effect on purchasing decisions. At the same time, both variables have a significant effect on purchasing decisions. The findings of this study are expected to provide valuable insights for the PayLater feature to design more effective strategies to improve customer satisfaction and transaction experience.

This study aims to analyze the influence of macroeconomic variables in the form of the dollar exchange rate, inflation, and Gross Domestic Product (GDP) on the Composite Stock Price Index (JCI) in Indonesia for the period 2010–2024. The research method used is a quantitative approach with multiple linear regression analysis using time series data obtained from Bank Indonesia, the Central Statistics Agency (BPS), and the Indonesia Stock Exchange (IDX). The data analysis technique was carried out through classical assumption tests and hypothesis testing to determine the relationship between variables. The results of the study show that partially GDP has a significant effect on the JCI, while inflation and the dollar exchange rate tend not to have a significant effect. However, simultaneously these three variables have a significant influence on the JCI. These findings show that macroeconomic stability is very important in maintaining the performance of the capital market in Indonesia and can be a reference for investors in making investment decisions. In addition, the results of the study confirm that national economic growth is the main indicator that market participants pay attention to in assessing investment prospects. Therefore, the government needs to maintain economic stability through effective and sustainable fiscal and monetary policies.

This study aims to examine the influence of competence, independence, and information technology on the quality of financial statements among employees of Accounting Service Offices in Semarang City. This research uses a quantitative approach with a survey method targeting employees of Accounting Service Offices in Semarang City. Data were collected through questionnaires and analyzed using multiple linear regression with the aid of SPSS software, obtaining 60 respondents. The results of the study indicate that the three independent variables, namely competence, independence, and information technology, have a positive and significant effect on the quality of financial statements. These findings confirm that improving professional competence, applying strong independence principles, and effectively utilizing information technology are important factors in producing reliable, relevant, and timely financial statements.

This study seeks to evaluate the extent to which profitability, leverage, independent commissioners, and political links influence tax avoidance in Indonesian mining companies for the 2021–2024 timeframe. The mining sector was chosen because it contributes significantly to national income but is typically associated with the practice of tax avoidance. The novelty of this study lies in the addition of the political connections variable, which has rarely been studied in the context of Indonesian mining. The research data were obtained from annual reports and financial statements of companies obtained through purposive sampling, resulting in 77 observations. Multiple linear regression analysis under a quantitative method was applied, and the evidence suggests that profitability contributes positively to tax avoidance, as higher profits are associated with a stronger tendency for companies to minimize tax payments. Conversely, political connections have a negative effect, indicating that political and military experience shapes loyalty to the interests of the state, thereby encouraging tax compliance. Meanwhile, leverage and independent commissioners do not exert any influence on tax avoidance. The outcomes of this research may serve as a reference for regulators, scholars, and investors to better comprehend the determinants of tax avoidance and to contribute to enhancing governance structures and refining tax policy.

This study aims to examine the influence of investment, labor, and unemployment rates on economic growth in Aceh Province. Economic growth is one of the main indicators in assessing the success of a region's development, so it is important to understand the factors that can influence it. The data used in this study are secondary data in the form of annual data for the period 2009–2023 obtained from the Central Statistics Agency (BPS) of Aceh Province and several related institutions. Data analysis was conducted using the multiple linear regression method with a time series approach. The results of the analysis show that the investment variable has a positive and significant influence on economic growth in Aceh Province, indicating that increased investment can encourage increased regional economic output. The labor variable also has a positive influence on economic growth, although its significance is lower compared to investment. Meanwhile, the unemployment variable has a negative and significant influence on economic growth, which means that increasing unemployment rates can suppress the rate of economic growth in Aceh Province.

Traffic congestion is a persistent challenge in urban areas in Indonesia, where increasing vehicle density creates the need for intelligent traffic monitoring systems. This study aims to develop a real-time vehicle parking system using the YOLOv8 object detection model to provide efficient traffic analysis from live CCTV broadcasts and recorded videos. This study uses a quantitative experimental approach with the implementation of the YOLOv8m model using the Ultralytics library in Python, tested on data collected from CCTV cameras A TCS Dishub Medan and additional footage from mobile devices. Vehicles are detected and counted in two directions up (Up) and down (Down) using virtual detection lines on the video frame. The system performance is evaluated by automatic detection counting with manually recorded ground truth data. The results show that on live CCTV broadcasts, the YOLOv8m model achieves an average precision of 98.96%, a recall of 96.59%, and an F1 score of 97.74% for upstream traffic, while for downstream traffic it achieves 100% precision, 95.64% recall, and an F1 score of 97.730/0. On the other hand, on high-quality recorded videos, all performance metrics achieve 100%, indicating perfect detection accuracy. These findings confirm the effectiveness of YOLOv8 in real-time traffic monitoring, but also indicate that video quality and stream stability affect detection performance. In conclusion, the developed system shows strong potential to support smart city traffic management solutions. Future research should focus on performance optimization under low-resolution live streaming conditions to improve accuracy in practical applications.  

This study presents a high-accuracy real-time soft failure detection framework for large-scale fiber-to-the-home(FTTH) optical access network using a hybrid ensemble of Isolation Forest and One-Class Support Vector Machine (OCVSM). The proposed model was trainde and validated on a real-word multivariate performance dataset comprising more than 1.8 million samples collected at 5-minute intervals from 50 Optical Line Terminal (OLTs) and over 3,000 Optical Network Terminals (ONTs) across a five-month periode(June-October 2025). Ground-truth validation was performed using 111 confirmed network incidents in October 2025 affecting 12,990 customer. The hybrid ensemble achieved Precision 0.940, Recall 0.982, with an average detection delay of only 7.8 minutes-representing an 87.7% reduction compared to conventional manual response (63.5 minutes). The framework significantly outperforms traditional threesholding and recent ML-based methods while demonstrating practical deployability in live operational enviroments.

Rapid adoption of cashless payments has reshaped everyday spending, especially among young consumers. While e-wallets deliver speed and convenience, constant exposure to discounts, cashbacks, and one-click checkouts may also foster more frequent discretionary purchases. This study examines the relationship between e-wallet usage intensity and consumptive lifestyle, focusing on how convenience and promotional stimuli relate to spending tendencies. Using a cross-sectional online survey of students and early-career workers, we collected self-reports on payment habits and consumption patterns with validated Likert-type instruments. Data were screened and analyzed with correlation and linear regression after basic assumption checks. The results indicate a positive and statistically meaningful association between e-wallet usage and consumptive lifestyle; respondents who transact more often via e-wallets tend to report stronger preferences for instant gratification, hedonic purchases, and impulse buying. Convenience features (e.g., stored cards, fast checkout) and promotional exposure (e.g., limited-time deals) emerged as salient correlates of the relationship. The findings add contextual evidence from Indonesia’s digital economy and suggest practical implications for users, platforms, and educators. Financial-wellbeing interventions such as digital budgeting tips, in-app nudges, spend limits, or post-purchase reflections may help align seamless payments with healthier consumption decisions. Future work can test causal mechanisms and evaluate design features that encourage prudent, goal-consistent spending without diminishing user experience.

Polusi udara partikulat halus (PM2,5) merupakan ancaman serius bagi kesehatan masyarakat di Kabupaten Brebes, Jawa Tengah. Faktor penyumbang utamanya adalah emisi kendaraan di jalur Pantura, aktivitas industri perikanan, serta konsentrasi tinggi selama musim kemarau (Juni–November). Tidak adanya model peramalan sub-jam yang akurat menghambat pengembangan sistem peringatan dini yang efektif. Penelitian ini mengembangkan dan mengevaluasi model deep learning berbasis Transformer untuk memprediksi konsentrasi PM2,5 dengan resolusi waktu 15 menit. Data yang digunakan berasal dari NASA GEOS-CF (band PM25_RH35_GCC) yang diakses melalui Google Earth Engine menggunakan API Python. Dataset mencakup periode 1 Januari hingga 22 November 2025, menghasilkan 7.813 observasi per jam, yang kemudian diinterpolasi linear menjadi 31.249 titik data dengan resolusi 15 menit. Arsitektur Transformer terdiri dari 3 lapis enkoder, 4 kepala perhatian multi-head, dimensi embedding 128, dimensi feed-forward 256, panjang sekuen 60 timestep, dan augmentasi fitur menggunakan rerata bergulir (*rolling mean*, jendela = 3) dan beda pertama (*first difference*). Pelatihan dilakukan dengan TensorFlow-Keras, pengoptimal Adam, penjadwal peluruhan kosinus (*cosine decay scheduler*), dan fungsi kerugian Huber. Pembagian data dilakukan secara kronologis: 70% pelatihan, 30% validasi. Evaluasi pada set uji independen (16 Agustus–21 November 2025, 9.357 observasi atau 97 hari 11 jam 15 menit) menghasilkan MAE 0,7691 µg/m³, RMSE 1,2052 µg/m³, R² 0,9945, dan *Explained Variance Score* 0,9948. Model ini mampu menggambarkan variasi diurnal dan anomali musiman secara akurat, jauh melampaui model LSTM dan GTWR konvensional. Penelitian ini memberikan kontribusi signifikan di bidang Teknologi Informasi melalui kerangka kerja pengolahan *big data* satelit untuk aplikasi lingkungan.

This study aims to determine the effect of information technology utilization on the timeliness of financial reporting in the Regional Apparatus Work Units (SKPD) of North Toraja Regency. The use of information technology is expected to enhance the effectiveness and efficiency of the financial reporting process so that reports can be prepared and submitted on time. However, variations in reporting timeliness among several SKPDs indicate the need for further examination of the extent to which information technology has been optimally utilized. The research method employed is a quantitative approach with a simple linear regression analysis technique. Data were collected through questionnaires distributed to financial staff of SKPDs in North Toraja Regency, with a total of 50 respondents. Data analysis was conducted using SPSS through validity testing, reliability testing, classical assumption testing, and hypothesis testing. The results of the study show that the utilization of information technology has a positive and significant effect on the timeliness of financial reporting. These findings highlight the importance of optimizing the use of information technology in supporting effective and timely financial reporting.

This study aims to investigate the empirical impact of population size and unemployment rates on economic growth in Central Kalimantan Province. The research focuses on the regional context of Central Kalimantan, utilizing a longitudinal dataset covering the eleven-year period from 2013 to 2024. To achieve the research objectives, the study employs quantitative analysis through the SPSS software package, utilizing multiple linear regression as the primary analytical tool to examine the relationship between the dependent variable (economic growth) and the independent variables (population and unemployment). The findings of the analysis reveal a divergent impact between the two independent variables. The results indicate that the population has a significant and positive influence on economic growth in Central Kalimantan during the 2013-2024 period, suggesting that demographic factors play a crucial role in regional expansion. Conversely, the unemployment rate was found to have no significant effect on economic growth within the same timeframe. Furthermore, the study conducted a comprehensive suite of classical assumption tests to ensure the validity and reliability of the statistical model. The results of these diagnostics confirm that the regression model adheres to the assumption of normality, shows no evidence of multicollinearity among the variables, and is free from symptoms of heteroscedasticity. Additionally, the analysis concludes that the model does not exhibit any issues related to autocorrelation. Consequently, the regression model is deemed statistically robust and appropriate for providing an accurate representation of the economic dynamics in Central Kalimantan.

Games that were initially enjoyed individually and offline have now evolved into online games that allow interaction, competition, and friendship with other players in real-time. Online games are now increasingly popular, one of which is Mobile Legends. This game can be downloaded through the Play Store and App Store. In April 2024, Mobile Legends ranked the most popular game by downloads on the statista.com website. The research objective was to determine the influence of event marketing, content marketing, influencers, and the social environment on the decision to purchase Mobile Legends game skins in Kebumen Regency. The method used was non-probability sampling with a purposive sampling technique aimed at 100 users. Data collection techniques used questionnaires and literature studies. The data analysis technique used multiple linear regression, which was then processed with the SPSS application version 25.0 for Windows. The results showed that event marketing had a significant effect on purchasing decisions, content marketing had a significant effect on purchasing decisions, influencers had no significant effect on purchasing decisions, the social environment had no significant effect on purchasing decisions, and event marketing, content marketing, influencers, and the social environment simultaneously had a significant effect on purchasing decisions.

This study aims to analyze the effect of inflation, Gross Regional Domestic Product (GRDP), and the Provincial Minimum Wage (PMW) on the poverty line in 10 provinces in Indonesia. The research employs a quantitative approach using panel data regression analysis. The data utilized in this study consist of panel data covering a 10-year period, from 2015 to 2024, obtained from the Provincial Offices of Statistics and Statistics Indonesia (Badan Pusat Statistik/BPS). To examine the relationship between variables across regions and over time, the fixed effect model is applied in the analysis. The results of the analysis indicate that inflation and GRDP do not have a statistically significant effect on the poverty line in the 10 provinces examined. These findings suggest that although inflation and GRDP are important macroeconomic indicators, their variations during the study period were not sufficient to directly influence changes in the poverty line across the provinces. In contrast, the Provincial Minimum Wage (PMW) is found to have a significant effect on the poverty line. This result implies that increases in the minimum wage play a crucial role in improving household purchasing power, which can contribute to reducing poverty levels. Overall, the findings highlight the importance of wage policy as an effective instrument for poverty alleviation at the provincial level. While broader economic growth and price stability remain important, policies related to minimum wage determination appear to have a more direct and measurable impact on poverty conditions. Therefore, policymakers are encouraged to consider wage policies alongside other macroeconomic strategies to achieve more effective poverty reduction outcomes.

This study aims to analyze the effect of government expenditure and Regional Own-Source Revenue (PAD) on the Gross Regional Domestic Product (GRDP) of Surabaya City during the period 2014–2022. The background of the study stems from the crucial role of regional fiscal policy in promoting economic growth and the observed mismatch between the increase in regional expenditure and PAD with the development of GRDP. The research employs a quantitative approach using multiple linear regression analysis based on time-series data obtained from BPS and DJPK. The findings show that government expenditure and PAD simultaneously have a significant effect on GRDP. Partially, government expenditure has a positive and significant effect, while PAD has a positive but not significant effect on GRDP. The coefficient of determination (R²) value of 0.998 indicates that both variables can explain most of the variation in GRDP. These results confirm that government expenditure is the dominant fiscal instrument in driving economic growth in Surabaya, while the contribution of PAD still needs to be strengthened to effectively enhance fiscal capacity and stimulate productive economic activities. This study is expected to serve as a reference for local governments in formulating more targeted budget policies

The purpose of this study is to analyze the influence of production, exports and investment on the GDP of the Manufacturing Sector in Indonesia. This study uses a descriptive quantitative approach with time series data 2017-2024, the data used is secondary data taken by GAIKINDO (Association of Indonesian Automotive Industries) and the National Statistics Agency with multiple linear regression analysis techniques interpreted using Eviews 13. The results of the T-test study on the production, export and investment variables have no significant effect. However, the results of the F-test of the production, export and investment variables have a simultaneous effect on the GDP of the Indonesian Manufacturing Sector. From the results of the determinant test (R2) the independent variable is 85%, while the remaining 15% is influenced by other variables from this study.

This article discusses the role of the asbabun nuzul (causes for revelation) or the reasons for the revelation of verses in connecting revelation with the social conditions that underlie it. This study aims to demonstrate that understanding the asbabun nuzul is crucial in interpreting the Qur'an so that the teachings of revelation can be applied appropriately and remain in line with current social realities. This study uses a literature study method by examining various classical and modern commentaries that discuss the relationship between revelation and social conditions during the time of revelation. The results show that understanding the context of the asbabun nuzul not only helps understand the reasons for the revelation of verses but also plays a role in linking them to the various problems and challenges faced by Muslims today. The asbabun nuzul plays a key role in interpreting revelation more flexibly, so that the teachings of the Qur'an can be used to respond to various social issues that arise in each time period. Overall, a strong understanding of the asbabun nuzul can broaden Muslims' insight into the Qur'an and support the application of the teachings of revelation in responding to ever-evolving social changes and dynamics.

In the era of digital transformation, modern, systematic, and integrated archive management has become a crucial element in creating effective, efficient, and accountable education governance. Office Management and Business Services (MPLB) teachers in East Java still face obstacles in implementing technology-based archive management due to limited digital literacy, lack of supporting facilities, and minimal ongoing training relevant to 21st-century needs. This Community Service (PKM) activity aims to improve the professional competence of MPLB teachers in modern archive management through interactive workshop-based training, intensive mentoring, and direct simulation of the use of digital archiving applications. The implementation methods included participant needs analysis, problem-solving-based module development, digital archive management practice using a cloud system, and pre-test and post-test-based evaluation to measure competency improvement. The results of the activity showed an average increase in participant understanding of 42%, a 58% increase in operational skills in using archiving applications, and a 35% increase in archive management time efficiency. In addition, teachers are able to implement an electronic file classification system in schools and build a database of digitized documents. These activities strengthen transparent and sustainable educational administration, as well as supporting the realization of inclusive and globally competitive education in line with the Asta Cita vision towards Indonesia Emas 2030.

This study aims to analyze the effect of taxpayer compliance and taxpayer awareness on the obligation to pay individual income taxes in Tasikmadu District. Taxes are the primary source of state revenue; therefore, compliance and awareness play a crucial role in optimizing tax collection. However, the compliance level of individual taxpayers in Tasikmadu District remains suboptimal, as many taxpayers have not fulfilled their obligations accurately and on time. This research employed a quantitative approach with a survey method. The population consisted of individual taxpayers registered in Tasikmadu District, and a total of 400 respondents were selected using Slovin’s formula. Data were collected through questionnaires with a Likert scale and analyzed using validity and reliability tests, classical assumption tests, and multiple linear regression analysis with the assistance of statistical software. The results indicate that taxpayer compliance has a positive and significant effect on the obligation to pay taxes. Taxpayer awareness also shows a positive and significant effect. Simultaneously, compliance and awareness significantly influence individual tax obligations in Tasikmadu District. The adjusted R² value of 0.420 demonstrates that these two variables explain 42.0% of the variation in tax obligations, while the remaining 58.0% is influenced by other factors not examined in this study. Based on these findings, it is recommended that the Directorate General of Taxes improve tax education and socialization programs, as well as expand the use of technology-based tax services to strengthen taxpayer compliance and awareness. Strengthening these aspects is expected to enhance tax revenue optimization and support sustainable national development.