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This study was conducted with the aim of evaluating the dynamics of the financial condition of PT Indofood Sukses Makmur Tbk over a five-year period, namely from 2019 to 2023. This writing applies a quantitative descriptive methodology sourced from secondary data through audited annual financial reports. The main instruments in this data analysis include three pillars of financial ratios: Current Ratio (CR) as a representation of the liquidity aspect, Debt to Asset Ratio (DAR) to measure the level of solvency, and Return on Equity (ROE) as a benchmark for the effectiveness of the company's profitability. Through annual calculations and trend analysis, this study captures the development of the issuer's performance longitudinally. The results of the observation show a significant strengthening in the company's liquidity position, where the Current Ratio jumped from 127% in 2019 to 192% at the end of the 2023 period. In line with that, the solvency profile shows fundamental improvements; Debt reliance, which had reached 51% in mid-2020-2021, was successfully reduced to 46% in 2023. Meanwhile, the company's profitability demonstrated stable resilience, with a consistent ROE of 10% to 13%, despite fluctuations due to operational cost dynamics. Overall, PT Indofood Sukses Makmur Tbk demonstrated excellent financial health through strategic capital and asset management. As a sustainability measure, management is advised to continue optimizing current assets and tightening cost efficiency to secure future profit margins.

The utilization of digital technology in government administration is a critical measure to improve employee performance and the efficiency of public services. However, the effectiveness of implementing this technology is highly determined by the degree to which employees accept the digital systems being used. This study aims to analyze the impact of digital technology acceptance on employee performance at the Mojoroto District Office in Kediri City. The research employs a quantitative method with an explanatory design. Information was obtained through a questionnaire survey distributed to all employees at the Mojoroto District Office, totaling 30 respondents, using total sampling techniques. Indicators of digital technology adoption were evaluated based on perceptions of benefits, operational ease, social pressure, and infrastructural support, while employee performance was assessed according to the quality of work output and responsibilities. Data analysis involved descriptive statistics, validity and reliability tests, and ordinal linear regression. The study findings indicate that digital technology acceptance has a positive and significant influence on employee performance. The coefficient of determination figure reveals that digital technology adoption can explain a large part of the fluctuations in employee performance, with the remaining variation influenced by variables outside the research model. These results imply that the greater the level of digital technology acceptance, the better the resulting employee performance. This study concludes that strengthening digital capabilities, technical guidance, and institutional support are key strategies for enhancing employee performance and public service quality at the district level.

The Gender Development Index (GDI) is a key indicator for assessing disparities in human development achievements between women and men. In recent years, Indonesia’s GDI has shown a consistent upward trend, reaching 91.85 in 2024. Nevertheless, this numerical improvement does not fully represent the achievement of substantive gender equality. This article aims to analyze the dynamics of Indonesia’s GDI by positioning it within a comparative Asian context and examining the substantive gaps that persist behind the rising indicators. This study employs a qualitative approach based on secondary data and literature review. The primary data sources include publications from Statistics Indonesia on the Gender Development Index and Gender Inequality Index for the 2020–2024 period, as well as the Global Gender Gap Reports 2024 and 2025 published by the World Economic Forum. Descriptive quantitative analysis is combined with qualitative interpretation and illustrative interview findings from civil society organizations, universities, and provincial and local Offices of Women’s Empowerment and Child Protection in Central Java, Southeast Sulawesi, Grobogan Regency, and Semarang City. The findings indicate that Indonesia’s GDI improvement is largely driven by advances in women’s health and educational attainment. However, substantial gaps remain in the economic dimension, particularly in per capita expenditure and women’s labor market participation, which constrain proportional improvements in women’s Human Development Index. This article underscores the importance of interpreting the GDI as a reflective policy instrument and advocates for structural transformation to ensure that numerical progress translates into genuine gender justice.

The diversity of social media used by teenagers today can influence Fear of Missing Out (FoMO) behavior, a condition where someone feels left out of information, trends, or activities carried out by others. This condition is characterized by fear, anxiety, difficulty controlling the desire to stay connected, and a tendency to compare oneself with others on social media. Teenagers are the group most vulnerable to FoMO due to their high intensity of social media use and their still-developing social needs. This reseach seeks to examine the association between scial media diversity and FoMO behavior among eleventh-grade student at SMAN 4 Tuban. The study employed a quantitative analytic design using a cross-sectional approach. The research population consists of all 11th grade students, totaling 157 respondents, selected using simple random sampling. The instruments used are a social media diversity questionnaire and a FoMO behavior questionnaire. Data analysis uses the Chi-Square test with a significance level of α = 0.05. The results of the study show a p-value of 0.000, which means p < 0.05, so H1 is accepted. This shows that there is a significant relationship between social media diversity and FoMO behavior in adolescents. The more diverse the social media platforms used, the higher the tendency for adolescents to experience FoMO. Based on these results, it can be concluded that social media diversity influences FoMO behavior among 11th grade students at SMAN 4 Tuban.

Decoction is a traditional extraction method rooted in ethnobotany; however, meeting quality standards in modern pharmaceutical research remains a major challenge. This study aims to map global research trends regarding phenolic and flavonoid compounds in decoctions over the 2015–2025 period through bibliometric analysis. Data were retrieved from the Scopus database and analyzed using VOSviewer 1.6.20 software, employing the fractional counting method to ensure a more proportional weighting of keyword relationships. The results indicate a fluctuating trend that significantly increased toward the end of the period, peaking at 78 documents in 2025, with India and China emerging as the primary contributors. Network visualization and research density analysis reveal that the global research focus remains centered on antioxidant capacity (DPPH, TPC, and TFC), while decoction itself occupies a supporting position within the research map. This study concludes that decoction has not yet become a central focus in modern pharmaceutical research but serves primarily as a vehicle for presenting active compounds. There remains a significant gap between traditional decoction use and the application of advanced analytical technologies such as HPLC and antibacterial testing, representing a substantial opportunity for future research to validate the safety and efficacy of decoctions more scientifically and through standardized approaches.

Health issues related to free radicals remain a serious concern in Indonesia as they can trigger oxidative stress and degenerative diseases. Red ginger (Alpinia purpurata) is a rhizome plant with potential as a source of natural antioxidants due to its secondary metabolite content; however, its effectiveness is highly influenced by extraction techniques. Although numerous experimental studies have been conducted, a systematic research mapping on this topic is still lacking. This study aims to perform a bibliometric analysis of scientific publications regarding the antioxidant potential of red ginger, focusing on extraction techniques and free radical scavenging activity. The research method employs a quantitative analysis using data sourced from the Scopus database for the 2015–2025 period. Through specific inclusion and exclusion criteria, 38 relevant articles were obtained and analyzed using VOSviewer 1.6.20 software. The results indicate that publication trends have fluctuated, reaching a peak in 2024. Research distribution is dominated by Asian countries, with India, Thailand, and Indonesia as the primary contributors. Network visualization reveals three main clusters focusing on bioactivity, phytochemistry, chemical analysis, antimicrobial activity, and extraction techniques. A research gap was identified for the Alpinia purpurata species compared to Alpinia galanga, as well as opportunities for developing advanced instruments such as LC-MS and other complex analytical techniques. The implications of this study highlight the need for further exploration into 'nanoemulsion' and 'green extraction' to enhance the bioavailability of red ginger's antioxidant compounds in the development of future innovative pharmaceutical products

The rapid development of generative Artificial Intelligence (AI) technology offers significant efficiency opportunities across various sectors; however, empirical research within the local Indonesian context, particularly in Batam City, remains scarce. This exploratory study aims to analyze the influence of positive perception, negative perception, and AI regulation understanding on technology adoption trends, as well as productivity and product innovation opportunities among creative industry players. The creative industry is a focal point due to the inherent tension between technological efficiency and the preservation of human originality in the creative process. This research employs a quantitative causal approach, utilizing a sample of 30 respondents reached through snowball sampling techniques. Data analysis was performed using Partial Least Squares Structural Equation Modeling (PLS-SEM) via SmartPLS software. The findings reveal that only positive perception has a significant direct impact on product innovation (p=0.004), while AI regulation and technical adoption do not show significant effects. This suggests that a positive technology mindset is a more decisive factor for innovation than technical mastery or current regulatory compliance. These results underscore the urgent need for local government socialization of AI policies and enhanced digital literacy for Batam's creative practitioners to transform them from mere users into strategic AI-driven innovators.

Inclusive education and gender equality are two essential components in creating a learning environment that is fair, equitable, and responsive to student diversity. This article presents a systematic review using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) approach on 28 scientific articles published between 2019 and 2025. The research objective is to map the trends, implementation strategies, barriers, and opportunities for strengthening inclusive education with a gender perspective at the primary and secondary education levels. The results of the analysis indicate that the successful implementation of inclusive-gender education is closely related to gender-responsive teacher competence, family–community support, equitable school policies, and differentiated learning designs. The study also reveals that gender bias and stereotypes remain significant obstacles, while GESI/GEDSI training and pedagogical innovations have proven effective in improving the quality of inclusive education services. This review recommends strengthening the capacity of educators, reformulating school policies, and developing a gender-responsive curriculum as central strategies for achieving sustainable inclusive education.  

The increasing trend of secondhand clothing consumption, commonly known as thrift shopping, reflects a major shift in consumer behavior. This study aims to analyze the influence of product quality, price, and lifestyle on consumers’ purchase decisions for secondhand clothing at the Tugu Pahlawan Sunday Morning Market in Surabaya. This research employed a quantitative approach using a non-probability sampling design. Primary data were obtained from 167 respondents through structured questionnaires utilizing a five-point Likert scale. Data analysis was conducted using multiple linear regression with the support of SPSS software, preceded by validity, reliability, and classical assumption tests. The results show that product quality, price, and lifestyle simultaneously have a significant influence on purchase decisions. Partially, product quality and lifestyle have a positive and significant effect, while price shows a weaker but still significant influence. These findings indicate that consumers’ decisions to purchase secondhand clothing are not solely driven by low prices but also influenced by perceived product quality and lifestyle preferences. This study contributes to the understanding of consumer behavior in informal markets and provides practical implications for business practitioners and policymakers to enhance sustainable consumption patterns.

This study reviews the implementation of Content and Language Learning (CLIL) in Indonesia senior high school through a systematic review. The review aim to identify research trends, report benefits, and key challenges of CLIL in Indonesia education context. Following the FRISMA guidelines, nine peer-reviewed studies published between 2021 and 2025 were selected from reputable academic databases. The analysis focuses in research design, learning outcomes, and implementation n issues, and it applies the CLIL 4Cs framework—Content, Communication, Cognition, and Culture—as the main analytical lens. The finding indicates that CLIL has appositive impact on student engagement, learning   motivation, and better understanding of content and increased confidence in using English in academic context. CLIL also support active learning and encourages higher-order thinking skills. However, the review reveal several challenges that limit effective implementation. These include limited teacher readiness, insufficient English proficiency among teachers and students, lack of collaboration between subject teachers and English teachers, nd difficulties is assessing content and language learning simultaneously. Analysis the 4Cs framework show that Content and Communication are the most emphasized componet in current CLIL practices, while Cognition receives moderate attention and culture is rarely adressed explicitly. The study concludes that although CLIL is feasible and beneficialfor Indonesia senior high schools, its long-term succes depend on continues teacher professiional development, stronger institutional support, and clearer integration within the Merdeka Curriculum. Theis review provide useful insights for educators, researcher, and policemakers to improve bilingual and CLIL-based instruction in Indonesia.

This study aims to analyze the development strategy of the Jeanete business, located in Maumere City, Jl.  Kesehatan No.  3, Lorong Masuk SDK Yos Sudarso, using the Strengths, Weaknesses, Opportunities, and Threats (SWOT) approach.  The research employs a descriptive qualitative method with data collected through observation, interviews, and documentation of the Jeanete business operations.  The results indicate that the main strengths of the business include affordable product prices, unique item variations, and increasing consumer interest in preloved products.  However, Jeanete also faces several weaknesses, such as dependence on supplies from outside the region, limited stock availability, and fluctuating bale prices.  On the other hand, opportunities include the growing trend of thrifting among young consumers and rising demand for environmentally friendly products.  The threats faced by the business involve increasing competition, shifting consumer preferences, and the risk of products not passing quality control.  Based on these findings, the development strategy for Jeanete should focus on improving product quality, strengthening digital promotion, and maintaining more stable supply management.

Tax compliance is a crucial element in supporting state revenue and reflects the integrity of the public bureaucracy. However, the level of tax compliance among State Civil Apparatus (ASN) in Indonesia still faces various challenges. To date, the literature on ASN tax compliance tends to be partial and does not provide a comprehensive overview of the evolution of theories and emerging methodological trends. This study aims to map the development of research related to ASN tax compliance in Indonesia during the 2020–2024 period through a Systematic Literature Review (SLR) approach. This study analyzed ten scientific articles obtained from national academic databases, focusing on the variables, theories, and methods used in previous research. The analysis was conducted qualitatively and descriptively to identify patterns of findings and research gaps. The study results indicate that ASN tax compliance is influenced by factors such as tax knowledge, sanctions, awareness, trust, institutional factors, and digital technology. This study contributes by developing a research map that integrates the Theory of Planned Behavior and Institutional Trust Theory as a basis for fiscal policy for ASN. These results provide a basis for the government to design more effective tax policies and training.

This study examines curriculum strategies implemented in five countries Singapore, Finland, Japan, Indonesia, and the United States using a library research approach. The main objective of this research is to analyze similarities, differences, challenges, and strategic orientations in curriculum development across diverse national education systems. Data were collected from scholarly journal articles, government policy documents, and international education reports published by reputable institutions. The analysis indicates that each country adopts distinct curriculum strategies influenced by its socio-cultural context, governance structure, policy priorities, and long-term educational goals. Singapore emphasizes competency-based learning aligned with economic needs, Finland prioritizes flexibility and teacher autonomy, Japan focuses on character education and cultural values, Indonesia continues to adapt its curriculum to improve relevance and equity, while the United States highlights standards-based accountability and innovation. Despite these differences, common patterns emerge, particularly in the emphasis on competency development, integration of 21st-century skills, teacher quality improvement, and curriculum adaptability to global challenges such as digitalization and workforce transformation. The findings suggest that effective curriculum development requires a balance between global educational trends and local contextual needs. This study contributes to comparative education discourse by providing insights that may inform policymakers and educators in designing responsive and sustainable curriculum strategies.

This study examines the development of scientific publications on the topic of competency development and performance of the State Civil Apparatus (ASN) in Indonesia in the period 2014–2024 using a bibliometric analysis approach. The researcher uses data from scientific articles that have been published and meet the research criteria. Data was obtained from the Google Scholar database with the help of the Publish or Perish application, then analyzed and visualized using VOSviewer to identify publication patterns, research trends, and linkages between topics. From the entire series of article processing processes, 339 scientific publications were identified with a total of 3,460 citations. The results of the analysis show a significant increase in the number of publications, from one publication in 2014 to 103 publications in 2024. The keyword analysis grouped the articles into six main clusters, with the topic "ASN" as the most dominant theme discussed. These findings show increasing academic attention to the development of ASN competencies and performance as an important part of bureaucratic reform, increasing the professionalism of the apparatus, and efforts to improve the quality of public services in Indonesia.

Diarrhea and Tuberculosis (TB) remain significant public health problems in Indonesia, including Rembang Regency. This study aims to analyze the spatial distribution and temporal changes of Diarrhea and TB cases in Rembang Regency during 2023–2024 using a Geographic Information Sistem (GIS) approach. A descriptive-analytic method was applied using secondary data, including administrative boundary shapefiles, disease case data, and health facility data at the sub-district level. Spatial processing and analysis were conducted using QGIS to produce thematic maps and compare disease distribution patterns between years. The results indicate that Diarrhea and TB cases were unevenly distributed across sub-districts and formed distinct spatial patterns. Case changes between 2023 and 2024 varied spatially, reflecting dynamic disease trends. The integration of disease maps with health facility distribution shows that areas with high case numbers were not always supported by adequate health facilities. The implementation of GIS-based maps into a web platform enhances accessibility and supports spatial-based public health decision-making.

This study aims to analyze the opportunities, threats, strengths, and weaknesses of Arch Barbershop, a modern barbershop in Maumere City. The study was conducted using a descriptive approach through observation of the business environment, competitor analysis, and identification of local consumer preferences. The analysis shows that Arch Barbershop has promising opportunities due to the increasing trend of grooming among teenagers and young adults, and the lack of barbershops offering modern and consistent service concepts in the area. However, this business also faces threats in the form of competition from new barbershops, rapidly changing consumer preferences, and dependence on barber skills as the spearhead of service quality. Furthermore, internal weaknesses such as limited space, inflexible operating hours, and a less than optimal variety of services pose challenges to business development. By understanding these opportunities, threats, strengths, and weaknesses, Arch Barbershop can formulate a more effective development strategy to increase its competitiveness and business sustainability in Maumere City.

Demam berdarah dengue merupakan tantangan kesehatan masyarakat yang terus berulang di wilayah tropis, termasuk Indonesia. Penelitian ini bertujuan untuk memprediksi jumlah kasus tahunan dengan memanfaatkan lima algoritma pembelajaran mesin, yaitu Regresi Linier, Decision Tree, Random Forest, Support Vector Machine (SVM), dan Neural Network. Data historis tahun 2017–2024 diolah menggunakan teknik windowing deret waktu untuk menghasilkan fitur lag yang sesuai bagi pembelajaran terawasi. Evaluasi kinerja dilakukan melalui metrik Mean Absolute Error (MAE), Mean Squared Error (MSE), Root Mean Squared Error (RMSE), serta koefisien determinasi (R²). Model Decision Tree menunjukkan performa paling unggul pada sebagian besar indikator. Prediksi untuk tahun 2025 mengindikasikan adanya peningkatan moderat jumlah kasus. Namun, rendahnya nilai R² pada seluruh model mengisyaratkan perlunya pendekatan multivariat yang lebih kompleks dengan mempertimbangkan faktor iklim, lingkungan, dan demografi. Hasil penelitian ini menegaskan pentingnya kualitas data dan pemilihan fitur yang tepat dalam peramalan epidemiologis guna mendukung perencanaan kesehatan yang lebih efektif.

The price of horticultural commodities such as potatoes is highly vulnerable to market fluctuations influenced by factors such as harvest season, distribution, and consumer demand. This study aims to analyze the trend and fluctuation of potato prices in Muara Enim Regency over the past five years, from 2019 to 2023. A descriptive quantitative approach was employed, utilizing secondary data consisting of monthly potato prices in Indonesian rupiah per 100 kilograms. The data were analyzed using average annual prices and the coefficient of variation (CV) to measure the price stability each year. The results indicate significant changes in potato prices across the years. The highest average price occurred in 2021, reaching Rp 879,167 per 100 kg, while the lowest was recorded in 2019 at Rp 760,417. The CV analysis revealed that 2023 was the most volatile year with a CV of 14.75%, indicating a high level of market instability. In contrast, 2022 had the lowest CV at 3.00%, indicating relatively stable prices throughout the year

Crime, an unlawful act that contradicts ethics and norms, has now become a primary factor for the police in Lampung province. This presents a challenge for the police institution in predicting high crime rates. However, there are still many crimes that have not become the main focus of problem-solving at the Lampung Regional Police.This research aims to identify the types and criminal acts of crime with the highest recorded incidence in a crime dataset by performing classification using the Naïve Bayes algorithm. The data was obtained from investigators at the Directorate of General Criminal Investigation of the Lampung Regional Police, with a total of 12,034 JTP (Total Criminal Acts) and 7,518 PTP (Crime Resolution) data points for each type of crime, distributed across the Regional Police, City Police, and District Police throughout Lampung province. The classification process using the Naïve Bayes algorithm reveals the relationship between the work unit (Satker) and the type of crime handled, thereby identifying crime patterns based on the location where they are handled. The results of the research, which involved converting numerical data into binomial (binary) form using the "Numerical to Binominal" feature in Rapid miner, show that the analysis and modeling process, especially in algorithms like Naïve Bayes or decision trees, is more effective when using data in a binary format. Thus, the initial dataset can be visualized in the form of a , with the size of the text varying according to the level of each high-incidence crime; the larger the text, the more frequently or significantly the crime occurred or was reported. The application of this method can help in identifying patterns, dominant trends, and areas of focus for more targeted law enforcement efforts or crime prevention policies.