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The rise in Value Added Tax (VAT) from 11% to 12%, which was put into effect in January 2025, has elicited a range of reactions from Indonesian households, particularly those in the urban middle class. This research intends to investigate the effects of the VAT change on consumption habits among this group. Information was gathered through a survey conducted with 400 households in Jakarta, Surabaya, and Bandung utilizing a stratified random sampling technique. A quantitative analysis was performed using multiple linear regression. The findings indicate that while the overall tax burden on basic consumption did not rise significantly due to various mitigating measures, the public's perception of the VAT hike still resulted in a decline in spending—particularly on non-essential items and services. This result underscores the importance of fiscal perception in influencing household consumption patterns. The study suggests that fiscal transparency, public awareness campaigns, and compensatory policies are essential for preserving middle-class purchasing power during initiatives aimed at enhancing national tax revenue.

The difference in educational background of UIN Sultan Maulana Hasanuddin Banten students, especially between pesantren and public school graduates, becomes an obstacle in the learning process of intensive Arabic classes. Students who come from public schools often feel left behind compared to their friends who come from pesantren or Madrasah Aliyah. Therefore, it is important to conduct this study to examine the effect of pesantren graduates‘ background on motivation to learn Arabic, so as to provide a better understanding of the factors that influence students’ learning motivation. The researcher used a quantitative method with data collection through questionnaires. The collected data were analysed systematically to identify patterns and meanings related to the influence of pesantren education background on motivation to learn Arabic. The results showed a significant effect of boarding school education on students' motivation to learn Arabic. Thus, boarding school education background can increase motivation to learn Arabic. The implication is that educational institutions need to consider the background of students in designing effective learning methods. Future research is recommended to include additional variables that have the potential to influence Arabic language learning motivation.

Anemia in pregnancy is a condition where the hemoglobin (Hb) level in the blood is less than normal and the hemoglobin (Hb) level in the mother has decreased from the normal Hb level, namely 11 g/dI. One of the main and common causes of anemia in pregnant women is a lack of nutrients. Iron in the body is caused by a lack of food sources that contain sufficient iron, but food sources that have low iron content, so that less iron is absorbed. Apart from the lack of food containing iron, routine antenatal care also influences the occurrence of anemia in pregnant women. Effective antenatal care provides a solid foundation for midwives to first assess the needs of pregnant women and families. The aim of this study was to analyze the relationship between diet and regular antenatal care with the incidence of anemia in pregnant women in the working area of the Maron Community Health Center. The design of this study was cross sectional. The population in this study were all pregnant women who were in the working area of the Maron Community Health Center, totaling 79 respondents. The research sample included 44 respondents of pregnant women who were in the working area of the Maron Public Health Center. With random sampling technique. The instruments used were questionnaires and KIA books. The research results show that almost all anemic pregnant women have poor eating patterns and irregular antenatal care. Based on the chi square statistical test, it is known that the P value is 0.000 α 0.05, so HO is rejected and HI is accepted that there is a relationship between diet and antenatal care with anemia in pregnant women in the working area of the Maron Community Health Center. It is hoped that the results of this research can be used to increase insight into health science, especially midwifery, that a good diet and regular antenatal care are very necessary to prevent risks that will occur during childbirth.

Computational thinking skills are now one of the main skills in 21st century education. Not only does it support mastery of technology, this ability is also very important in understanding and solving problems systematically. This study aims to review in depth the potential for utilizing Triangulos software as an innovative learning medium to improve students' computational thinking skills, especially in mathematical geometry material. The study used a literature review approach by tracing primary and secondary sources from 2020–2024. The results of the analysis show that the use of Triangulos can encourage students to develop algorithmic thinking patterns, spatial visualization, and problem-solving skills. In addition, this application also supports independent and collaborative learning, and has the potential to increase student motivation and activeness in class. These findings recommend the integration of Triangulos in mathematics learning as one of the efforts to innovate education in the digital era. Further empirical research is highly recommended to test the effectiveness of this application at various levels of education.    

This study aims to understand the impact of inflation on the purchasing power of communities in Lampung Province throughout 2024 from a macroeconomic perspective using a qualitative approach. The persistent fluctuations in inflation over the year have triggered various responses and adaptation strategies among the public, particularly within economically vulnerable groups. Through in-depth interviews with various informants—such as small business owners, housewives, and informal sector workers—this study finds that inflation has influenced consumption patterns, spending priorities, and how people manage their daily income. A noticeable decline in purchasing power is observed in essential needs and healthcare services. Common coping strategies include switching to alternative products, taking on debt, or reducing overall consumption. The findings suggest that inflation has not only economic implications but also social consequences, highlighting the importance of social protection policies and price stabilization efforts to maintain household economic resiliencej.

This study was conducted to assess the extent to which product knowledge influences consumer decisions in purchasing cosmetics by adopting a qualitative methodology with a literature study approach. This study includes the presentation of several scientific literatures, references, and theories that are closely related to the research variables. This study analyzes ten studies that focus on the study variables. The data analysis technique is carried out descriptively qualitatively in order to understand the relationship between the two variables. Based on the results of the analysis that has been carried out regarding the influence of product knowledge on purchasing decisions for cosmetic products, a positive relationship was found between the two. The study of consumer decisions in purchasing cosmetics is an interesting topic because this decision is one of the main challenges for cosmetic companies in determining the right marketing strategy. The complexity of the consumer decision-making process shows that many factors are interrelated and need to be considered. Therefore, companies need the ability to control the dynamics related to consumer behavior and adjust their business strategies to remain relevant. Understanding trends and changes in consumer purchasing patterns is an important thing that should not be ignored if the company wants to develop sustainably in the future.  

This community engagement initiative was organized by the Faculty of Economics and Business, Department of Accounting, University of Bengkulu, Indonesia. The activity aimed to enhance financial literacy and public awareness of the Sharia capital market among residents of Sri Kuncoro Village, Central Bengkulu. The training focused on technical analysis of Sharia-compliant stocks, introducing participants to key concepts such as price trends, candlestick patterns, support and resistance levels, and the use of technical indicators aligned with Islamic financial principles. The objective was to empower the local community with practical skills and knowledge to participate responsibly and ethically in Sharia-based stock trading. The results showed a significant increase in participants' understanding of technical analysis tools and their confidence in investing in the Sharia capital market.

The development of digital technology has brought changes in communication and information dissemination, including in Islamic preaching (dakwah). TikTok, as a short-video-based platform, has become one of the media used by preachers to convey Islamic messages in an engaging and interactive manner. This study aims to analyze the role of TikTok in the dissemination of Islamic preaching, assess its effectiveness, and identify the challenges and opportunities in its use. The research employs a quantitative approach by distributing questionnaires to respondents who actively use TikTok to access Islamic preaching content. The collected data is analyzed using pie chart diagram techniques to observe audience engagement patterns with Islamic preaching content on TikTok. The findings indicate that TikTok is highly effective in reaching a broader audience, especially the younger generation. However, challenges such as the ever-changing platform algorithm and potential misuse of features exist. The implication of this study is the need for a more adaptive and innovative preaching strategy to ensure optimal dissemination of Islamic messages. Future research is recommended to further explore audience engagement patterns and the long-term impact of digital preaching on social media.  

The rapid growth of social media has significantly influenced the psychological dynamics of adolescents, particularly regarding their mental health. This study aims to examine the relationship between the five dimensions of the Big Five personality traits (neuroticism, extraversion, openness, agreeableness, and conscientiousness) and adolescent mental health in the digital era. Using a qualitative method with a literature review approach, the study analyzed various recent scientific sources. The findings indicate that certain personality traits, such as high neuroticism, are positively correlated with mental health issues, while others, like extraversion and conscientiousness, serve as protective factors. The interaction between personality traits and social media usage patterns also affects adolescents' levels of stress, anxiety, and tendencies toward negative behaviors such as FOMO and digital addiction. These results highlight the importance of a personalized approach in supporting adolescents, involving parents, teachers, and counselors, to prevent psychological disorders and promote mental well-being based on individual personality characteristics.

Children who live in today's era have the characteristic that the behavior of dependence on the internet is very high, so it requires supervision from parents to monitor and control their children's time when playing gadgets. This behavior eventually causes the main problem of sleep quality related to parenting and children's sleep patterns. The purpose of this study was to determine the relationship between parenting patterns in gadget use and sleep patterns with the quality of sleep of elementary school children at SDN 3 Baureno. This research design used a cross sectional approach, a population of 30 children at SDN 3 Baureno, which was taken by total sampling technique. Data were taken using a questionnaire which was analyzed using the Spierman Rho Test with a significance level of p = 0.05. The results showed that almost most (76.7%) parents gave permissive parenting, most children (60%) experienced disturbed sleep patterns, and most children (53.3%) had poor sleep quality. While the statistical test obtained the value of r =0.369 p=0.023 (p<0.05) which means there is a relationship between parenting patterns in the use of Gadgets with the quality of sleep of elementary school children and obtained the value of r =0.462 p=0.013 (p<0.05) which means there is a relationship between sleep patterns with the quality of sleep of elementary school children. Parents should pay more attention to how to properly use Gadgets in children with the right duration so that sleep patterns are more regular and uninterrupted and good sleep quality.

Hypertriglyceridemia is a metabolic condition characterized by elevated triglyceride levels in the blood and is closely related to cardiovascular risk and metabolic syndrome. Routine blood tests play an important role in detecting unnoticed lipid disorders, especially in individuals without clinical symptoms. Triglyceride screening was performed on 91 adult participants using the point-of-care testing (POCT) method. Education was provided through leaflets containing information on lifestyle and dietary patterns that affect triglyceride levels. The results were classified and analyzed to identify risk distribution and as a basis for health education. The mean triglyceride level of participants was 137.8 ± 77.1 mg/dL (range 45–463 mg/dL). Most participants showed values ​​within the normal range, but individuals with very high levels were found, indicating hidden metabolic risks that require clinical attention. Early detection of triglyceride levels accompanied by education based on examination results is a strategic step in preventing hypertriglyceridemia. Community intervention through education and the formation of healthy habits contributes to controlling the risk of non-communicable diseases in the adult population.

The life insurance industry plays a strategic role in the national financial system, not only as a provider of protection against life risks such as premature death or critical illness, but also as an instrument of long-term fund accumulation. Increased public awareness of the importance of risk protection has driven significant growth in the number of active policies. This condition has a direct impact on the risk exposure of claims that must be carefully managed by insurance companies. One of the main challenges in risk management is to accurately estimate the number of claims in a certain period, to support premium setting, technical reserve planning, and maintain the company's financial stability. This study aims to examine the use of Poisson regression model in estimating the frequency of life insurance claims based on the number of active policies in life insurance company. The data used is simulative and represents an exponential relationship between the number of policies and claims. The model is analyzed using the Maximum Likelihood Estimation (MLE) approach and evaluated through goodness-of-fit indicators such as deviance, Pearson chi-square, log-likelihood, and Mean Squared Error (MSE). The results of the analysis show that the Poisson regression model can capture the significant relationship pattern between the number of active policies and claims, and provide accurate prediction results. Thus, Poisson regression is proven to be a relevant and applicable statistical method in supporting strategic decision-making in insurance companies, especially in the context of data-driven risk management.

This study aims to analyze the impact of clubbing on the learning performance of students in Bandung. This includes class attendance, active participation in discussions, and the ability to complete academic tasks. In addition, this study will also identify other factors that may influence the relationship between clubbing and learning performance, such as alcohol consumption patterns, stress levels, and social support. Clubbing, one of the most popular entertainment choices for students, is often the main choice to relieve stress and socialize. However, this phenomenon also raises questions about how it impacts students' learning performance and academic achievement. This study uses a qualitative approach. The primary data of the study came from interviews and participation in nightclubs with Bandung students. Secondary data consisted of journals, books, the internet, and others. Interviews, observations, and documentation were the data collection methods used in this study. The results of the study obtained It is seen that students who are active in clubbing tend to have lower attendance rates in class. Many of them admit to often being absent due to fatigue after late-night activities, which has a direct impact on the understanding of the material being taught and the potential for academic achievement.

Mycobacterium Bovis is a serious infection that affects cattle and has ramifications for human health, especially in areas where close contact between humans and animals is widespread and pasteurization of dairy products is not widely used. The purpose of this work is to identify risk factors connected with M. bovis infection, estimate the prevalence of the disease in east Darfur State, and underline the main aspects of the disease. The study included a total sample size of 100 cows milk collected from different localities of East Darfur State in Sudan ( Abu Matarq 21.1%, Yaseen 15.3%,El-Daein 22.1%, Abu Karinka 6.8% and Assalaya 5.1% ) this study estimated that 25% of the collected raw milk specimen was positive for mycobacterium. The incidence of Mycobacterium Bovis in Sudan is the result of a complex interaction of cattle management techniques, environmental conditions, and public health initiatives. While there is increased knowledge of the disease and efforts to control it, obstacles such as limited resources, cultural customs, and environmental stressors continue to impact its tendencies.  

The rapid development of information technology has had a significant impact on the pattern of collecting, processing, and storing personal data in the digital era. However, this progress is also accompanied by an increasing threat of cybercrime, one of which is phishing attacks. Phishing is a digital fraud mode that aims to obtain personal data illegally through social engineering and manipulation of electronic systems. This study aims to analyze the form of legal protection for phishing victims in the perspective of Law Number 27 of 2022 concerning Personal Data Protection (UU PDP). Using normative legal methods and conceptual approaches, this study examines the role of state authorities such as the National Cyber and Crypto Agency (BSSN) and the Directorate of Cyber Crime (Dittipidsiber) of the National Police Criminal Investigation Unit in the procedures for handling and prosecuting phishing. The results of the study show that although the PDP Law has provided a clear legal framework, its implementation still faces challenges in technical aspects, institutional coordination, and public digital literacy. Therefore, strong synergy is needed between regulation, supervision, and public education to realize effective and sustainable personal data protection in the digital era.

This study analyzes the patterns and dynamics of income inequality across districts and municipalities in Aceh Province during the 2022–2024 period using data from the National Socio-Economic Survey (Susenas) published by Statistics Indonesia (BPS). A descriptive-comparative approach was employed with the Gini Ratio as the main indicator to examine spatial variations and inequality trends between urban and rural areas. The results show that Aceh’s Gini Ratio declined from 0.296 in 2022 to 0.294 in 2024, indicating a modest improvement in income distribution. The reduction in inequality mainly occurred in rural areas, while urban regions experienced a slight increase due to the concentration of economic activities among higher-income groups. Banda Aceh and Lhokseumawe recorded the highest inequality levels, whereas Aceh Tengah and Bireuen demonstrated relatively strong income equality. Overall, Aceh remains one of the provinces with low-income inequality in Indonesia but still faces challenges of structural disparities across regions. The findings highlight the need to shift policy orientation from redistributive equality toward productivity-based equality through regional economic integration, empowerment of micro and small enterprises, and the development of inclusive economic sectors to achieve equitable and sustainable growth..

This study aims to analyze the discourse framing of Kompas.com news texts related to the hashtag “Kabur Aja Dulu”, which was published in the period 17 February - 17 March 2025. This research is a descriptive qualitative research with Teun A. Van Dijk analysis model. The research data was obtained through digital documentation of Kompas.com articles using the hashtag “Kabur Aja Dulu”, then analyzed through three main stages: data reduction, data presentation, and conclusion drawing. The analysis was conducted systematically using Van Dijk's structural framework which includes three levels of analysis: macro structure, superstructure, and microstructure. The analysis shows that Kompas.com tends to use language and interview techniques that reflect the government's perspective, with complex discourse framing patterns that reflect power dynamics in news production. Through the analysis of Van Dijk's model, it can be seen that the media uses various linguistic and structural strategies to build a narrative that is in line with the government's perspective, including the use of formal language, structured interview techniques, and the construction of a strong narrative about the urgency of handling the phenomenon. Overall, this study reveals how the mass media play an important role in the social construction of reality through the way they frame and convey information to the public.

Early science education has a strategic role in forming critical and innovative thinking patterns in children as a provision to face challenges in the era of globalization and technological advancement. However, the implementation of the scientific approach at the early childhood education (PAUD) and elementary school levels still faces various obstacles, such as limited teacher knowledge, lack of contextual learning facilities, and teaching methods that tend to be one-way. In fact, childhood is a phase of cognitive development that is very potential to foster curiosity and scientific thinking skills. The low science literacy scores of Indonesian students in international studies indicate the need for intervention from an early age. Therefore, community service programs that aim to build a foundation for children's science from an early age are very important. This program includes teacher training, development of learning media, and exploratory activities based on simple experiments that are appropriate to the world of children. Through this approach, it is hoped that a young generation can be created who not only understand science conceptually, but also have the ability to think critically, creatively, and find solutions in facing problems in the future.

The rapid development of financial technology (fintech), particularly digital wallet applications like OVO, has significantly transformed transaction patterns in society. However, issues such as server instability and unsatisfactory user experiences frequently emerge on social media platforms. This study aims to analyze user sentiments toward OVO on platform X (formerly Twitter) by comparing the performance of two machine learning algorithms: Naïve Bayes and Support Vector Machine (SVM). Data were collected through web scraping from 1,000 Indonesian-language tweets containing the keyword "OVO." The research methodology included text preprocessing (data cleaning, tokenization, stopword removal), feature extraction using TF-IDF, and sentiment classification (positive, negative, neutral). Evaluation results demonstrated that SVM achieved the highest accuracy of 85.2%, while Naïve Bayes reached 78.5%. SVM also outperformed in precision (87%) and recall (83%) due to its ability to handle non-linear data. These findings provide actionable recommendations for OVO developers to enhance server stability and features based on user feedback. Additionally, this study serves as a reference for future sentiment analysis research employing algorithmic comparisons.

Microplastics have emerged as a serious threat to tropical marine ecosystems in Indonesia, particularly in coastal areas with dense populations, major river estuaries, and busy shipping routes. This study aims to develop a predictive model of microplastic dispersion using partial differential equations based on ocean current data. The data set includes ocean currents derived from satellite imagery, global oceanographic models, and field observations, combined with information on microplastic sources from coastal human activities. The modeling process was conducted through numerical simulations using the finite difference method, taking into account geographic boundary conditions and numerical stability. The results indicate that the spatial distribution of microplastics is strongly influenced by seasonal current patterns closely associated with the Asian-Australian monsoon system. Microplastic concentrations tend to increase in areas with closed circulation and complex marine topography, with the highest accumulation identified in the Makassar Strait and the Java Sea. These findings highlight the critical role of ocean currents and other oceanographic factors in governing the transport and accumulation of microplastics in tropical seas. Ecologically, the outcomes suggest serious risks for coastal ecosystems, marine biodiversity, and the fisheries sector that supports Indonesia’s coastal communities. The implications of this study emphasize the need for more comprehensive marine environmental management strategies, strengthened field monitoring, and the integration of scientific models into plastic pollution control policies.