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This study analyzes the economic dynamics and development of the tourism sector in the Special Region of Yogyakarta (DIY) Province during the 2015–2024 period. The research employs a quantitative descriptive approach using secondary data obtained from the Central Bureau of Statistics (BPS). Data analysis is carried out through descriptive statistical methods and trend analysis to capture changes and patterns over time. The variables examined include regional economic growth, the number of tourist visits, road infrastructure development, labor absorption, and hotel occupancy rates across five districts/cities in the province. The findings indicate that the economy of DIY demonstrates relatively strong resilience in the post-COVID-19 pandemic period, supported by gradual recovery in tourism-related activities. The development and operation of Yogyakarta International Airport have significantly contributed to economic growth in Kulon Progo Regency, particularly by improving accessibility and investment opportunities. The tourism sector continues to serve as the main economic driver in the region, with tourist visits largely concentrated in Sleman Regency and Yogyakarta City, while Gunungkidul Regency shows considerable potential for nature-based tourism development. Overall, the study concludes that equitable infrastructure development and the strengthening of the service sector are crucial to ensuring sustainable and inclusive economic growth in the Special Region of Yogyakarta.

Smart industry has become an important trend in the development of Industry 4.0, especially in promoting the creation of efficient systems in the manufacturing sector. Various countries and studies are encouraging the application of technologies such as IoT, digital twins, artificial intelligence, and smart factories to improve industrial efficiency and sustainability. Therefore, studies related to smart industry are important and necessary especially on the context of smart manufacturing in order to see the direction of future research trends. This study uses a qualitative approach with literature data from the Scopus database covering the period 2020 to 2025. Research trend analysis was conducted through data processing using Bibliometric analysis in R Studio and the VOSviewer applications. To identify the latest research trends regarding smart industry, particularly in the context of Industry 4.0 and smart manufacturing, this analysis can provide a comprehensive picture of future research developments and directions within a global context.

This study aims to analyze Indibiz Bogor’s digital marketing strategy in enhancing brand awareness through the use of Instagram Reels, with a specific focus on the role of content creators in planning, producing, and optimizing short-video content. As social media increasingly becomes a primary promotional channel, businesses are required to produce creative and relevant content capable of attracting and engaging audiences effectively. This research employs a qualitative approach, with data collected through observation, interviews, and documentation conducted during October–November 2025. The findings show that content creators play a strategic role in idea development, trend analysis, audience needs identification, and producing visual materials that align with Indibiz’s brand identity. Instagram Reels are proven effective in increasing audience engagement, expanding reach, and strengthening brand perception across digital platforms. However, several challenges persist in the production process, including suboptimal internal coordination, sudden concept revisions, and limited production time. These findings highlight the importance of more structured content planning, improved team communication, and consistent performance evaluation to optimize Indibiz’s digital marketing efforts and maximize their impact on brand awareness.

Based on the financial performance analysis of PT. Gudang Garam Tbk (GGRM) during the 2020–2023 period, the company faced significant challenges that impacted its financial condition. One of the main factors affecting the company's performance is the increase in tobacco excise duties, which has affected the cost structure and selling prices of its cigarette products. Additionally, the increasing regulatory pressure and changes in consumer behavior have posed unavoidable challenges. The decline in profitability and liquidity ratios, such as Return on Assets (ROA) and Current Ratio (CR), indicates the negative impact of these external conditions on the company’s ability to generate profit and meet short-term obligations. This decline suggests that the company is struggling to balance income and operational costs. The fluctuating solvency ratio also raises concern. Although the company manages to maintain a balance between debt and equity, these fluctuations show challenges in managing long-term assets and liabilities. Dependence on debt and rising operational costs pose risks to the company's financial stability. These fluctuations affect the company's ability to maintain liquidity and solvency in an increasingly competitive market. Trend analysis from the financial statements indicates that the company needs to strengthen its adaptation strategies and risk management to face the growing market challenges. GGRM must focus on product innovation and marketing strategies that can attract new customers while retaining existing ones. Furthermore, the company must adapt to changing regulations and evolving consumer trends. The results of this study provide important insights for stakeholders regarding the financial condition of the tobacco industry. In this challenging situation, GGRM must continue to develop more adaptive strategies to survive and thrive amidst the dynamic market and increasingly stringent regulations.

Web-Based Augmented Reality (AR) is an emerging interactive technology that is increasingly adopted in the fields of visual communication design and digital education. This study aims to analyze trends in the use of Web-Based AR within interactive design contexts and to identify user preferences regarding its features. The research employs a literature review and secondary data analysis, drawing from academic publications, industry reports, and online surveys conducted between 2019 and 2024. The findings reveal a significant increase in the adoption of Web-Based AR both globally and in Indonesia. Key factors driving adoption include interactivity without installation, cross-device compatibility, and rapid browser-based access. Trend diagrams, comparative tables of AR platforms (such as 8thWall, ZapWorks, and WebXR API), and user preference visualizations are presented to support the analysis. The study discusses technological challenges, adoption gaps, and design implications, particularly in education and marketing. Limitations include reliance on secondary data and limited geographic scope. The study’s outcomes are expected to serve as a reference for interactive content developers, educators, and researchers in designing inclusive and adaptive AR-based user experiences.

The development of digital technology has given birth to a new era in the world of electronic commerce, namely social e-Commerce 2.0, which combines interactive features of social media with the ease of online transactions. One of the pioneers of this transformation is TikTok Shop, a platform that allows users to explore, promote, and purchase products directly through short video content. This article discusses how TikTok Shop revolutionizes the way consumers interact with products, the role of content creators as the main driver in marketing, and relevant business strategies amidst changes in digital consumer behavior. Through a trend analysis approach and case studies, this article examines the potential and challenges faced by TikTok Shop as a representation of the future of digital shopping. The results of the discussion show that TikTok Shop not only accelerates the buying and selling process but also creates a new ecosystem that combines entertainment, community, and consumption in one integrated platform.    

This study aims to compare the performance of PT Metro Healthcare Indonesia, PT Kalbe Farma Tbk, PT Indocement Tunggal Prakarsa Tbk, PT Siloam International Hospitals Tbk, and PT Hetzer Medical Indonesia Tbk. The focus of the research is the analysis of financial and operational performance to provide an in-depth understanding of the companies' competitiveness and efficiency within their respective sectors. The study employs a quantitative method with a descriptive-comparative approach. Secondary data were collected from the annual financial reports of each company over a specific period. The analysis was conducted using key financial ratios such as Return on Equity (ROE), Debt to Equity Ratio (DER), and Current Ratio (CR). Additionally, an operational performance trend analysis was performed to understand the comparative effectiveness of the companies in resource management. The results of the analysis indicate significant differences in financial performance between companies operating in the healthcare sector (PT Metro Healthcare Indonesia, PT Kalbe Farma Tbk, PT Siloam International Hospitals Tbk, and PT Hetzer Medical Indonesia Tbk) and those in the building materials sector (PT Indocement Tunggal Prakarsa Tbk). Companies in the healthcare sector tend to have higher profitability ratios compared to those in the building materials sector, although there are variations in debt and asset management efficiency. These performance differences can be attributed to underlying industry factors such as market demand, levels of innovation, and government policies. Companies in the healthcare sector benefit from growth driven by increasing public demand for healthcare services. In contrast, the building materials sector is more vulnerable to economic fluctuations and infrastructure investments. This study concludes that industry sectors and business models have a significant impact on companies' financial performance. Healthcare sector companies demonstrate more stable and promising performance compared to the building materials sector. This study is expected to provide insights for investors in selecting suitable investment portfolios.

This study aims to determine: 1) The development pattern of marketing volume of diesel, premium and kerosene at PT. Masokan Multi Raya as a premium and diesel oil agent in Waropen Regency during the period 2013-2021; 2) The level of significance of the variability of the marketing volume of diesel, premium and kerosene at PT. Masokan Multi Raya; 3) The average stability level related to the marketing volume of diesel, premium and kerosene at PT. Masokan Multi Raya. This type of research is comparative research. Data collection techniques are carried out using two approaches, namely through field research and library research. Data analysis techniques use quantitative analysis, namely development trend analysis, variability analysis, and relative variation analysis. The results of the study show that: 1) The development pattern of the marketing volume of diesel, premium and kerosene at PT. Masokan Multi Raya as a premium and diesel oil agent in Waropen Regency during the period 2013-2021 always increases; 2) There is a significant difference in the average sales volume of the three types of fuel oil products marketed by PT. Masokan Multi Raya as a premium and diesel oil agent (APMS) in Waropen Bawah District; and 3) Premium (VR = 0.0601) is a leading product of PT. Masokan Multi Raya in Waropen Bawah District with the most stable distribution of sales volume, while diesel (VR = 0.0864) has the most unstable sales volume and the lowest volume of kerosene.

Trend analysis is an analysis that compares more than 2 periods of financial statements. PT Antam Tbk is one of the largest mining companies in Indonesia. The purpose of this study was to determine the results of the evaluation of the financial performance report of PT Antam Tbk using trend analysis in the period 2020 to 2023. The research method used is quantitative descriptive method, which involves processing the company's financial data that is already available in the form of financial statements. This study uses secondary data in collecting information. The results of this study concluded that PT Antam Tbk succeeded in increasing the value of assets and equity, and decreasing the value of liabilities. As for the income statement, the company managed to increase profit after income tax by 167.7% from the period 2020 to 2023.  

Sales forecasting is a technique that companies use to predict future sales volumes based on previous sales data. This research aims to help UMKM  XYZ determine the optimal production amount to maximize profits, by using forecasting methods in planning mocaf flour production. The methods used include the Time Series model with Moving Average, Exponential Smoothing, and Trend Analysis, which are calculated using POM QM Windows software. The analysis results show that the Trend Analysis method is the most accurate for forecasting, with the smallest error value, namely MAD of 76.997, MSE of 8161.672, and MAPE of 6.02%. The smaller the error value, the more accurate the forecasting results. Therefore, the Trend Analysis method is recommended for forecasting mocaf flour sales in XYZ UMKM in 2024, with the production of 15,100 kg to avoid excess stock and dead stock in meeting consumer demand.