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This study aims to examine the gastronomy of the traditional culinary dish Ayam Napinadar as part of Batak cultural identity, covering aspects of history, ingredients, processing techniques, cultural values, and preservation challenges. The background of this research is based on the importance of maintaining the sustainability of traditional cuisine amid modernization and changes in consumption patterns. The method used is a qualitative approach through in-depth interviews with three informants, namely an MSME (Micro, Small, and Medium Eterprises) practitioner, a traditional leader, and a consumer. The results show that Ayam Napinadar has a unique characteristic in the use of andaliman and blood (gota) as its distinctive flavor. Traditionally, the cooking process involves grilling over firewood to produce a characteristic smoky aroma, although it has now shifted to more practical methods without altering the original recipe. From a cultural perspective, Ayam Napinadar holds symbolic meaning as an expression of prayers, blessings, and joy in various Batak traditional ceremonies. However, there are challenges in its preservation, such as the declining participation of younger generations in traditional activities and the increasing influence of modern foods. In conclusion, Ayam Napinadar functions not only as food but also as a medium for preserving cultural values and ethnic identity. This study provides benefits as a basis for developing gastronomic tourism and strategies for preserving traditional cuisine through education, collaboration, and the use of modern promotional media.

This research is entitled The Influence of Japanese Pop Culture on Children’s Toys Trends in Indonesia, 1980-2010. The study employs the historical method, which consists of four stages: heuristics, source criticism, interpretation, and historiography.John Fiske’s (2011) theory of popular culture and  Joseph Nye’s concept of soft power is used to analyze how Japanese popular culture, particularly through entertainment media and toy products, was disseminated persuasively and received by Indonesian children. Since the early 1990s, mass media such as television and children’s magazines have played an important role in introducing Japanese anime and characters, which subsequently encouraged the emergence of toy trends based on Japanese popular culture. The object of this research focuses on children’s toys influenced by Japanese popular culture that circulated in Indonesia between 1980 and 2010, including Tamiya, Beyblade, Tamagotchi, Crush Gear, B-Daman, and yo-yo. These toys not only developed as commercial products, but also contributed to the formation of children’s play patterns, communities, and social identities. However, during the period from 2008 to 2010, these toy trends began to decline due to the advancement of digital technology, changes in children’s consumption patterns, broadcast censorship policies implemented by Indonesian Broadcasting Commission (KPI), and increasing competition from popular culture of other countries such as Korea, the United States, and China. This condition reflects a shift in children’s play culture from physical toys to more modern forms of digital entertainment.

This study aims to identify domestic visitor segments in Bromo Tengger Semeru National Park (TNBTS), Indonesia, based on travel characteristics and consumption patterns to support the development of quality tourism in protected areas. Using snowball sampling, 283 domestic visitors was analysed by Two-Step Cluster Analysis in SPSS by integrating length of stay, activity preferences, and expenditure patterns. The results reveal a two-cluster solution as the most optimal segmentation, supported by the highest ratio of distance measures, with cluster quality rated as fair (silhouette = 0.20). Cluster 1 (39.2%) represents short-stay, lower-spending visitors who primarily seek iconic experiences (“Sunrise Seekers”), while Cluster 2 (60.8%) reflects longer-stay, higher-spending visitors who prefer village tourism activities (“Village Experience Seekers”). The strongest differentiating variables across segments are length of stay, activity preference, expenditure style, and age, whereas gender, education level, origin, and travel companions have limited role in segment separation. This study contributes empirical evidence of data-driven visitor segmentation in a conservation-based ecotourism destination within a volcanic national park, extending prior expenditure-focused profiling by integrating length of stay and activity preferences to capture visitor heterogeneity more comprehensively.

Waste-related issues have become increasingly complex environmental challenges as a result of population growth and shifting consumption patterns within society. Although Indonesia has established a legal framework through Law Number 18 of 2008 on Waste Management, its implementation at the community level continues to encounter various obstacles, particularly low legal awareness and an underdeveloped legal culture. This community service program aims to foster and strengthen a legal culture in waste management as an effort to promote environmental sustainability in Mrutuk Village, Widang District, Tuban Regency. The activities were conducted using participatory and descriptive approaches, including legal education, dissemination of waste management regulations, reinforcement of legal substance and enforcement structures, and community-based assistance. The results demonstrate an improvement in public understanding and awareness of the importance of managing waste in accordance with legal provisions, a shift in attitudes from compliance motivated by supervision toward voluntary compliance, and the emergence of community initiatives to actively engage in environmentally oriented waste management. Therefore, strengthening legal culture has proven to be a crucial instrument in encouraging environmentally responsible behavior and supporting the achievement of sustainable development.

Introduction: Triglycerides are a lipids fractions that play an important role in energy metabolism, but high levels in the blood are strongly associated with increased risk of cardiovascular disease, metabolic syndrome, and type 2 diabetes. The prevalence of hypertriglyceridemia tends to increase, including in urban area such us West Jakarta which have high risk consumption patterns. This community service activity aimed to raise public awareness about the importance  lipid profile management with screen triglyceride levels in community of Kelurahan Kota Bambu. Method: The activity was conducted in June 2025, involving 168 adult participants. The method was used was health education on the role of triglycerides and their risk,, followed by laboratory testing using the Nesco BL-101 5in1 Lipid Panel Monitoring System. Triglyceride level was classified into normal, borderline, high, and very high categories according to the NCEP ATP III guidelines. Results: The average triglyceride level of the participants was 181.21 mg/dL, with a range of 47–830 mg/dL. The triglyceride levels of the majority of participants were in the normal category, but the proportion with high and very high triglyceride levels was significant, indicating the existence of a risk group that needs attention. Conclusion: This activity confirms that simple triglyceride testing at the community level can be an effective step in early detection, education, and prevention

Per capita expenditure is an important indicator of household welfare because it reflects the economic capacity and consumption patterns of the community, as explained in Engel's Law. In regions with diverse geographical characteristics such as Papua Province, spatial analysis is needed to understand the variations in expenditure between districts/cities and the differences between urban and rural areas. This study aims to analyze the spatial distribution of per capita expenditure percentages for food and non-food items in nine districts/cities in Papua Province during the 2022–2024 period. The research data was sourced from the National Socioeconomic Survey (Susenas). The methods used included quantile-based choropleth mapping using QGIS, attribute data merging through table joins, and Pearson's correlation test to evaluate the consistency of spending patterns between years. The analysis results show that food and non-food spending patterns were relatively stable during the observation period with high correlation values (r = 0,85–0,93), although spatial variations between regions were still apparent. Mamberamo Raya Regency consistently had the highest proportion of food spending (>68%), while Jayapura City showed the lowest proportion. These findings indicate spatial disparities related to urbanization levels and economic access. Spatial visualization proved effective in revealing regional disparity patterns that were not fully apparent through conventional statistical tables and has the potential to support the formulation of more evidence-based regional development policies.

This study aims to analyze hematocrit values ​​using a micro method with capillary blood samples in pregnant women with anemia at the Sidodadi Kisaran Barat Community Health Center. This study is a descriptive study with a cross-sectional approach involving 15 pregnant women as respondents. Data collection was carried out through hematocrit laboratory examinations and data collection of respondent characteristics. The results showed that 60% of respondents had hematocrit levels below normal values, while 40% of respondents had hematocrit levels within normal limits. Low hematocrit levels in pregnant women are influenced by several factors, including age, education level, employment status, and level of knowledge about anemia during pregnancy. This condition has the potential to increase the risk of pregnancy complications if not optimally managed. Therefore, it is recommended that health workers continue to increase educational efforts regarding anemia prevention, the importance of regular pregnancy check-ups, and encourage pregnant women to maintain a balanced nutritional consumption pattern and adequate iron intake to support maternal and fetal health.

The development of value-added corn-based beverages representation an emerging opportunity within the agribusiness sector, particularly for student-led entrepreneurial initiatives seeking to utilize local agricultural resources. This study examines consumer perceptions of Zeagrain corn milk, a sweet-corn-derived drink positioned as a healthy, practical, and affordable alternative within the ready-to-drink market segment. The research aims to identify key attributes influencing consumer interest, evaluate perceived product performance, and assess the potential competitiveness of Zeagrain as a new agribusiness product. Data were collected using an online quantitative survey targeting respondents aged 17–35 years who represent potential urban consumers. The questionnaire measured demographic characteristics, consumption patterns of similar beverages, perceived importance and performance of product attributes, and purchase intention. The findings are expected to provide insights into consumer expectations regarding taste, packaging, nutritional value, and price. The results further serve as empirical input for improving product development strategies and enhancing the market readiness of Zeagrain. Ultimately, this study contributes to strengthening the commercialization prospects of corn-based beverages and supports innovation efforts among young agripreneurs seeking to optimize local commodities.

The development of e-commerce and social commerce has driven significant changes in student shopping behaviour, including at FEB UNDARIS. Ease of access, digital promotions, and the influence of social media have led students to shop online more frequently, even impulsively. This study aims to analyse how attitudes, subjective norms, and perceived behavioural control interact in shaping students' online shopping behaviour using the Theory of Planned Behaviour (TPB) framework. This study uses a descriptive qualitative method with in-depth interviews with ten students who actively shop online. The data were analysed to understand the experiences, perceptions, and social factors that influence their decisions in digital transactions. The results show that positive attitudes towards efficiency and promotions, social pressure from friends and influencers, and high perceived behavioural control due to technological convenience work simultaneously to reinforce online shopping intentions and actions. These three TPB components support each other and trigger increasingly impulsive consumption patterns in the digital environment.

In today's digital era, recommendation systems have become an integral part of supporting consumer purchasing decisions, including in the food and beverage industry. This study aims to develop a product recommendation system for snacks and beverages using the item-based collaborative filtering method. This method was chosen due to its ability to handle large-scale user and product data, as well as its efficiency in providing relevant recommendations based on user consumption patterns. In this study, the system calculates the average user rating and implements   Cosine Similarity to measure the similarity between products, resulting in more accurate recommendations. The system also evaluates the accuracy of recommendations using the Mean Absolute Error (MAE) metric. Based on the results obtained, which is 0.285403 for the average error on 17 items, the developed recommendation system can improve consumers' shopping experience, help them find products that suit their tastes, and support the sales of snacks and beverages products in the market

Nutritional problems during the growth phase of adolescent are mostly caused by consumption patterns. The most commonly used eating patterns during adolescent are foods that are high in calories, fat, sugar and salt. The habits of an unhealthy eating pattern can affect nutritional status. The foods most consumed by adolescent are often junk food and caffeinated beverages. All kinds of food and drinks are easily found around campuses surrounded by student. The purpose of this study was to determine the relationship between junk food consumption and caffeinated beverages to the nutritional status of students of the Faculty of Technology and Food Industry at Slamet Riyadi University, Surakarta. The respondents involved were students aged 18-24 years. Data was collected using a questionnaire and interview to the student. Data were analyzed using Chi-Square test. The results showed that factor affecting the nutritional status of student was mother’s education (p=0,000) and father’s education (p=0.000). Factors that do not affect nutritional status were energy intake (p=0.545), protein (p=0.085), fat (p=0.204) and carbohydrate (p=0.112), the amount of pocket money (p=0.310), the consumption level of junk food (p=0.671) and caffeinated drinks (p=0.535). The results showed that there was no significant relationship between the consumption patterns of junk food and caffeinated drinks on the nutritional status of students of the Faculty of Food Technology and Industry at Slamet Riyadi University, Surakarta. Permasalahan gizi yang terjadi saat pertumbuhan fase remaja lebih banyak disebabkan karena pola konsumsi.  Pola makan yang sering diterapkan pada masa remaja adalah makanan tinggi kalori, lemak, gula, dan garam. Pola makan yang tidak sehat dapat mempengaruhi status gizi seseorang. Makanan yang paling banyak dikonsumsi oleh kalangan remaja masuk dalam kategori junk food dan juga minuman berkafein. Makanan dan minuman kategori ini mudah ditemukan di sekitar kampus yang dikelilingi mahasiswa. Tujuan pada penelitian ini ialah menentukan hubungan pola konsumsi junk food dan minuman berkafein terhadap status gizi mahasiswa Fakultas Teknologi dan Industri Pangan di Universitas Slamet Riyadi, Surakarta. Responden yang terlibat ialah mahasiswa berusia 18-24 tahun. Pengumpulan data menggunakan kuesioner dan wawancara kepada mahasiswa. Analisis data menggunakan uji Chi-Square. Hasil penelitian menunjukkan bahwa faktor yang mempengaruhi status gizi mahasiswa adalah pendidikan ibu (p=0.000) dan pendidikan ayah (p=0.000). faktor yang tidak mempengaruhi status gizi ialah asupan energi (p=0.545), protein (p=0.085), lemak (p=0.204) and karbohidrat (p=0.112), jumlah uang saku (p=0.310), tingkat konsumsi junk food (p=0.671) dan minuman berkafein (p=0.535). Hasil penelitian menunjukkan tidak terdapat hubungan signifikan antara pola konsumsi junk food dan minuman berkafein terhadap status gizi mahasiswa Fakultas Teknologi dan Industri Pangan Universitas Slamet Riyadi, Surakarta.

This study aims to explore how religious Muslim students interpret halal labels on product packaging and how these interpretations influence their consumption behavior. In the context of increasing awareness of halal product importance, halal labeling is not just a symbol of religious law, but also a guarantee of quality, safety, and trust. The research uses a descriptive qualitative method phenomenological approach, involving students from UIN Prof. K.H. Saifuddin Zuhri Purwokerto who were selected through purposive sampling. Data was collected through semi-structured interviews, literature study, and documentation, then analyzed using thematic analysis. The findings reveal that highly religious students tend to be more selective, careful, and responsible in choosing products, prioritizing those with halal certification even when priced higher. The halal label provides psychological comfort and certainty that the product aligns with Islamic principles. Additionally, a strong understanding of halal labels increases consumer loyalty and supports the growth of the halal industry through rising demand for certified products. Thus, the halal label plays a significant role in shaping the consumption patterns of religious Muslim students and contributes to the broader development of the halal industry in Indonesia.

The increasing public awareness of global environmental issues has encouraged the emergence of the green consumerism trend, or environmentally friendly consumption behavior, across various segments of society. This shift in consumption patterns occurs in response to growing environmental sustainability challenges and climate change, which demand consumers to be more responsible in selecting, using, and disposing of products. Consumers no longer consider only price and quality, but also the environmental impact of the products they consume. This study aims to analyze the concept of green consumers, identify the factors influencing green consumption behavior, and examine its implications for the modern business environment. The research method employed is a literature study (library research) using a qualitative descriptive approach, reviewing various sources such as scientific journals, books, research reports, and recent publications relevant to the topic of green consumerism. The results indicate that environmental awareness, sustainable lifestyle values, concern for ecological impacts, as well as social influence and digital media, are the main factors shaping green consumer behavior. Furthermore, the study finds that companies capable of adapting to the green consumption trend through eco-friendly product innovation, sustainable business practices, and the implementation of corporate social responsibility will gain a positive corporate image, increase consumer trust, and create competitive advantages in an increasingly environmentally conscious market.

The development of digital technology has brought about significant transformations in the global entertainment industry, including in Indonesia. One manifestation of this change is evident in the presence of streaming platforms like Netflix, which have altered consumer consumption patterns for audio-visual content. This study aims to analyze how Netflix Indonesia utilizes Business Intelligence (BI) and Knowledge Management (KM) to maintain and increase customer loyalty. This research uses a qualitative descriptive method, collecting data from various scientific literature, industry reports, and relevant online sources. The results show that the implementation of BI enables Netflix to analyze user behavior, understand viewing preferences, and provide more personalized content recommendations. Meanwhile, KM plays a crucial role in internal knowledge management, content development, and service innovation. The synergy between BI and KM has been proven to support Netflix's strategy in improving user experience, retaining existing customers, and attracting new ones in the increasingly competitive Indonesian market.

This study aims to analyze the communication strategy implemented by Global Radio 88.4 FM Jakarta in maintaining its existence as a youth radio amidst the rapid growth of digital media. Using a descriptive qualitative approach, the study collects data through in-depth interviews, observations, and documentation. The data obtained is analyzed using Cangara's communication strategy theory and George R. Terry's POAC (Planning, Organizing, Actuating, Controlling) management theory. The results show that Global Radio 88.4 FM Jakarta implements several key strategies, including program segmentation to meet the needs of young audiences, optimizing the use of social media such as TikTok and Instagram, and strengthening emotional relationships with listeners. The success of these strategies is influenced by well-planned content, efficient team organization, and flexible execution that responds to trends among the youth generation. However, amidst the growing competition in the digital world, challenges faced include changes in media consumption patterns and limited resources. This study provides insights into the importance of adapting communication strategies to maintain the existence of traditional radio in the digital era.

The development of digital technology and the massive penetration of social media have transformed consumption patterns, particularly among younger generations. Excessive use of social media may lead to addictive behavior, which has the potential to trigger psychological anxiety such as fear of missing out, and ultimately encourage impulse buying behavior. Denpasar City, as a center of urbanization and consumption in Bali, serves as an appropriate location to examine this phenomenon, as its community tends to be consumptive and highly active in social media use. The purpose of this study is to explain the role of fear of missing out in mediating the effect of social media addiction on impulse buying. This study employs Uses and Gratifications (U&G) theory as the theoretical foundation, with a sample of 130 respondents selected using purposive sampling. Data collection was conducted through a questionnaire method. The study applied descriptive and inferential techniques, including Path Analysis, Classical Assumption Test, and Sobel Test. The findings reveal that fear of missing out mediates the effect of social media addiction on impulse buying. This study strengthens the understanding that social media not only influences social interaction but also shapes impulsive consumption behavior as a result of psychological pressure and exposure to digital content.

A high-sodium and low-potassium consumption pattern can increase the risk of hypertension. Excess sodium can cause fluid retention and increase blood volume, while potassium plays a role in regulating fluid balance and blood pressure. This study aims to determine the relationship between high-sodium and high-potassium consumption patterns and the incidence of hypertension at the City Community Health Center (UPT Puskesmas) in Bantaeng Regency. The research method used was quantitative analytic with a cross-sectional study approach. The study population was all 278 patients visiting the City Community Health Center (UPT Puskesmas) in Bantaeng Regency. The sample size was 74 residents of the community at the City Community Health Center (UPT Puskesmas). Purposive sampling was used. The research instrument used was a questionnaire, which was distributed to respondents. The Food Frequency Questionnaire (FFQ) was used for sodium and potassium consumption. The results showed a relationship between sodium consumption and the incidence of hypertension (p=0.003 meaning Ha was accepted.The results showed a relationship between potassium consumption and the incidence of hypertension (p=0.001) meaning Ha was accepted. Researchers hope that this research can be used as a support or source of information to develop knowledge in the field of community health, especially in nursing, related to sodium and potassium consumption in reducing blood pressure in hypertension patients.

This research explores the symbolic consumption patterns of Generation Z in engaging with local products during the digital hyperreality era, emphasizing the roles of ethical consumption, hyperreality values, and digital identity in shaping purchase intentions. Using a quantitative design through PLS-SEM complemented by qualitative evidence, the study shows that both ethical consumption and hyperreality significantly shape digital identity (β = 0.42; β = 0.53, p < 0.001). Digital identity strongly drives purchase intention (β = 0.65, p < 0.001), while ethical consumption does not directly affect it. Mediation analysis demonstrates that digital identity fully mediates the relationship between ethical consumption and purchase intention, and partially mediates the impact of hyperreality. Qualitative findings highlight that Gen Z’s buying decisions are influenced by symbols and imagery showcased on social media, where ethical aspects only become relevant when they align with digital aesthetics. These results strengthen the postmodernist perspective that consumption in the digital era is primarily about signs, images, and symbols that go beyond mere utility. The study suggests that MSMEs should strategically embed symbolic narratives, ethical dimensions, and visual aesthetics into digital marketing to appeal to Gen Z while promoting sustainability.

This study aims to analyze the influence of content marketing and live streaming on purchasing decisions for fashion products among Generation Z users of the TikTok platform. In the era of digitalization and social media dominance, TikTok has emerged as one of the most influential platforms shaping consumer behavior, particularly for the younger generation. The research adopts an associative quantitative approach using a questionnaire survey distributed to 102 respondents who actively use TikTok for fashion-related content. The collected data were analyzed through Structural Equation Modeling–Partial Least Squares (SEM-PLS) using SmartPLS 4 to test the hypothesized relationships between variables. The results indicate that both content marketing and live streaming significantly and positively affect purchasing decisions. The path coefficients of 0.361 for content marketing and 0.521 for live streaming demonstrate their substantial contribution. Furthermore, the research model yields an R-squared value of 0.640, suggesting that these two independent variables collectively explain 64% of the variance in purchasing decisions among Generation Z. In addition, the validity and reliability tests confirm that all constructs fulfill the eligibility criteria, reinforcing the robustness of the measurement model. These findings emphasize that content-based marketing strategies, when designed to be engaging, interactive, and visually appealing, are highly effective in fostering consumer interest and driving purchase intention. Live streaming, in particular, serves as a powerful marketing tool by offering real-time interaction, product demonstration, and a sense of authenticity that resonates strongly with Generation Z’s consumption patterns. The implications of this research highlight the strategic importance for fashion brands to optimize their digital marketing practices by integrating creative content marketing and live streaming features on TikTok.

Electricity has emerged as an essential requirement in modern life. As demand escalates, electricity costs rise, making wastefulness a drain on financial resources. Consequently, forecasting electricity usage can enhance our management of consumption. This study presents an IoT-based monitoring and forecasting system for electricity consumption. The system comprises two NodeMCU micro-controllers, a PZEM-004T sensor for collecting real-time power data, and three relays that regulate the current flow to three distinct electrical appliances. The data gathered is transmitted to a web application utilizing the k-Nearest Neighbor (k-NN) algorithm to forecast future electricity usage based on historical patterns. We evaluated the system's performance using four weeks of electricity consumption data. The results indicated that predictions were most accurate when the user’s daily consumption pattern remained stable, achieving a Mean Absolute Error (MAE) of approximately 1 watt and a Mean Absolute Percentage Error (MAPE) ranging from 1% to 1.7%. Additionally, predictions were notably precise during the early morning hours (3:00 AM to 8:00 AM) when k=6 was employed. This study demonstrates the effectiveness of integrating IoT-based systems with machine learning for real-time energy monitoring and forecasting. Furthermore, it emphasizes the application of data mining techniques within embedded IoT environments, providing valuable insights into the implementation of lightweight machine learning for smart energy systems.