Publication Search

Jamu is a traditional medicine still widely consumed by the public, but it has the potential to be contaminated with the heavy metals lead (Pb) and cadmium (Cd), which are toxic and can cause health problems, particularly to the liver and kidneys. Heavy metal contamination can originate from raw materials grown in polluted environments and from processing, storage, and packaging that do not meet quality standards, particularly for products that have not undergone official supervision. This study aims to analyze the content of lead and cadmium metals in registered and unregistered herbal medicine products. The analysis was carried out using the Atomic Absorption Spectrophotometry (AAS) method after sample preparation through wet digestion using strong acid. Six herbal medicine dosage forms were analyzed, namely powder, chopped, pills, capsules, cream, and shake parem. Method validation included tests for linearity, precision, limit of detection, and limit of quantification to ensure the reliability of the analysis results. The results showed that all registered herbal medicine samples met the safety requirements for Pb and Cd. In contrast, several unregistered herbal medicine preparations, especially powder, chopped, and cream, did not meet the safety requirements for Cd, while the Pb levels in all samples met the safety requirements for Pb. These findings indicate that unregistered herbal medicines carry a higher risk of heavy metal contamination. Therefore, strengthening quality control, selecting safe raw materials, and increasing compliance with regulations are necessary to ensure the safety of herbal medicine consumption and protect public health.

This study aims to analyze the influence of financial literacy, e-money use, and lifestyle on the financial behavior of accounting students in the context of a cashless society. The research population includes students of the accounting study program of the Faculty of Economics and Business, University of Muhammadiyah Gresik, Semen Indonesia International University, and Gresik University. The sampling technique used accidental sampling with a total of 120 respondents in the 6th semester. Primary data was obtained through the distribution of questionnaires, then analyzed using quantitative methods with the help of SmartPLS software. The results of the study show that financial literacy does not have a significant effect on students' financial behavior. Conversely, the e-money variable has a significant positive influence on financial behavior, indicating that the use of digital transactions encourages more practical financial management patterns. In addition, lifestyle has also been shown to have a significant positive effect on financial behavior, indicating that students' consumption preferences and lifestyle also determine how they manage their finances in the cashless era. This research makes an empirical contribution in understanding the factors that influence the financial behavior of the younger generation, as well as being the basis for the development of financial literacy and policies related to digital payment systems in the higher education environment.

This study aims to analyze the effect of price and product quality on purchasing decisions of Gudang Garam Signature Kretek cigarettes in the premium machine-made kretek segment. The Indonesian tobacco industry continues to face sustained regulatory pressure through excise tax increases and intensifying brand competition, prompting consumers to reassess purchasing decisions using both rational evaluation and experiential judgment. A quantitative correlational approach was employed in this study. Primary data were collected through structured Likert-scale questionnaires distributed to 100 active consumers of Gudang Garam Signature Kretek selected using purposive sampling techniques. Data analysis was conducted through validity testing, reliability testing, and multiple linear regression analysis using SPSS software. The results indicate that price and product quality have a positive and significant influence on purchasing decisions, both partially and simultaneously. Product quality emerged as the most dominant factor, suggesting that premium cigarette consumers prioritize consistent quality, taste, aroma, and overall consumption experience as the primary basis for decision-making. Meanwhile, price remains an important rational reference for assessing the fairness between perceived benefits and financial sacrifice. Simultaneously, both variables explain 50 percent of the variation in purchasing decisions, while the remaining variance is influenced by other factors outside the research model. These findings highlight that purchasing decisions in the premium cigarette market are shaped by a value-based assessment, where sustained product quality and adaptive pricing strategies play a critical role in maintaining consumer loyalty amid regulatory pressure and evolving market dynamics

Public health is a crucial aspect of national development and is influenced by dietary consumption patterns. In Indonesia, the consumption of preserved foods has increased alongside lifestyle changes, economic conditions, and access to processed and packaged foods. Although preservatives function to extend shelf life, their improper use particularly hazardous substances such as formaldehyde, borax, and rhodamine B can have adverse health effects. This study aims to identify the factors contributing to high preserved food consumption, analyze their impact on public health, and examine weaknesses in Indonesia’s food monitoring system. The research employs a qualitative method through a literature review of scientific articles, reference books, and official reports from the National Agency of Drug and Food Control and the Ministry of Health. The findings indicate that preserved food consumption is influenced by a preference for convenience, economic constraints, and limited public knowledge of nutrition and food safety. Health impacts include digestive disorders, decreased immunity, impaired organ function, and an increased risk of chronic diseases. In addition, limited resources and weak law enforcement contribute to suboptimal food supervision. Therefore, strengthening regulatory oversight, enhancing public education, and promoting cross-sector collaboration are necessary to achieve a safe and healthy food system.

Breakfast and sleep quality are important factors that can influence students’ concentration and academic achievement. This study aims to analyze the relationship between breakfast consumption levels and sleep quality with the learning achievement of students at SMP Negeri 31 Medan. This research used a quantitative method with a cross-sectional design. The study population consisted of all 192 eighth-grade students, with a sample of 88 respondents selected through simple random sampling. Breakfast intake was measured using a 3x24-hour food recall (breakfast time only), sleep quality was assessed using the Pittsburgh Sleep Quality Index (PSQI) questionnaire, while learning achievement was obtained from semester exam scores in Indonesian Language and Mathematics subjects. Data analysis was carried out using the Chi-Square test with a significance level of 0.05. The results showed a significant relationship between breakfast intake and learning achievement in Indonesian Language (p=0.003) and Mathematics (p=0.000). Sleep quality was also proven to be associated with learning achievement in Indonesian Language (p=0.001) and Mathematics (p=0.000). The conclusion of this study is that having breakfast with adequate nutritional intake and maintaining good sleep quality contribute positively to improving students’ learning achievement.

This study aims to analyze the effect of social media advertising exposure and digital financial literacy on consumptive behavior, with self-control as a mediating variable among 11th grade high school students in Kotabumi Selatan District. This quantitative study involved 267 respondents from five public and private high schools selected using proportional sampling techniques. Data were collected through structured questionnaires and analyzed using Partial Least Squares–Structural Equation Modeling (PLS-SEM). The results show that exposure to social media advertising has a significant positive effect on consumptive behavior, indicating that higher advertising exposure increases students’ tendency toward excessive consumption. However, advertising exposure does not have a significant effect on self-control. Digital financial literacy has a significant positive effect on self-control, but does not directly influence consumptive behavior. Furthermore, self-control has a significant negative effect on consumptive behavior and plays a mediating role in the relationship between digital financial literacy and consumptive behavior. These findings confirm that strengthening digital financial literacy is crucial for improving adolescents’ self-control and reducing consumptive behavior in the digital era.

The documentary film “Dari Rasi Jadi Mimpi: Langkah Menjaga Tradisi” was an audiovisual work that portrayed the life and traditions of the Cireundeu Indigenous Community in Cimahi, West Java, with a focus on the consumption of Rasi (cassava rice) as a symbol of food security and cultural identity. The background of this work was based on concerns regarding the gradual marginalization of local traditions due to modernization and changing consumption patterns. This project aimed to document and visually represent the cultural values of the Cireundeu Indigenous Community through an ethical and authentic documentary approach. The production stages consisted of preliminary research, field observation, visual concept development, filming, and post-production. During the production process, the author acted as the Director of Photography (DoP), responsible for visual planning, camera blocking, composition, and lighting strategies adapted to the indigenous environment and technical limitations on site. The results indicated that a visual approach prioritizing authenticity, the use of natural lighting, and visual ethics successfully strengthened the documentary narrative without diminishing its aesthetic value. In conclusion, this documentary functioned not only as an audiovisual work but also as a cultural archive, an educational medium, and a sustainable tool for promoting local culture.

The increasing consumption of plastic, particularly single-use packaging, has led to a significant rise in household plastic waste, which poses a potential threat to environmental sustainability. One type of waste that remains underutilized is metallic plastic packaging. This Community Service activity aimed to enhance community knowledge and skills in processing metallic plastic packaging waste into handicraft products with functional value and economic potential. The activity was conducted in collaboration with the Family Welfare and Empowerment Group (PKK) of Ngringo Village, Karanganyar, involving 15 participants. The methods employed included a preliminary survey, educational outreach, hands-on practical training, and continuous mentoring. The effectiveness of the program was evaluated using pre-test and post-test assessments analyzed through the normalized gain (N-gain) method. The results demonstrated an improvement in participants’ knowledge and skills following the training, with an average N-gain value of 0.68, which falls within the moderate-to-high category. These findings indicate that the metallic plastic packaging waste processing training was effective in enhancing community capacity. Furthermore, the activity not only contributed to reducing plastic waste generation but also promoted the implementation of circular economy principles.

The consumption of ultra-processed foods (UPF) has been increasing among various age groups, including children and adults. UPF is generally low in iron content and can interfere with iron bioavailability, thereby increasing the risk of anemia. Additionally, the high calorie content of UPF contributes to the development of degenerative diseases. This study aims to analyze the relationship between UPF consumption, iron intake, and the risk of anemia. The study employs a narrative review method. Literature search was conducted using PubMed, Google Scholar, and Scopus databases, using controlled terms. The results showed that high UPF consumption had a negative impact on iron intake and increased the risk of anemia. Similar effects were found in high fat and sodium consumption. Some studies showed varying results regarding protein intake, fiber, and micronutrients such as sodium and calcium. In general, it can be concluded that excessive UPF consumption negatively impacts the quality of nutrient intake, both macro and micro, and contributes to the occurrence of anemia. These findings highlight the need for public health strategies to limit UPF consumption, particularly among vulnerable populations, as a preventive effort against anemia.

The rapid growth of digital transactions through marketplace platforms has driven significant changes in the consumption patterns of Indonesian society. Behind the convenience and efficiency offered, online transactions also pose various legal risks for consumers, including product mismatches, fraudulent practices, and weak personal data protection. This situation creates an urgency to assess the effectiveness of the implementation of consumer legal protection in digital transactions. This study aims to analyze the level of effectiveness of consumer legal protection in digital transactions in Indonesian marketplaces and to identify obstacles in its implementation. The method used is normative legal research with an approach based on legislation and literature studies, particularly on the Consumer Protection Law, the Electronic Information and Transactions Law, and Government Regulation Number 80 of 2019. The research results indicate that although a legal framework for consumer protection is normatively available, its implementation has not been optimal. This is influenced by low consumer legal literacy, weak supervision and law enforcement, unclear responsibilities between business actors and marketplace platforms, and the suboptimal personal data protection system. Therefore, there is a need to strengthen regulations that are adaptive to digital transactions, enhance the role of marketplace platforms, and develop effective online dispute resolution mechanisms to ensure protection and legal certainty for consumers.

The Checksheet process at PT. Automotive component companies are an important activity to maintain quality consistency in the production of automotive components, especially brackets. However, the inspection method that is still carried out manually causes waste of time, high use of paper, and increased operational costs. This study aims to reduce the cycle time of Patrol Check A-T-A, implement a digital (paperless) recording system, and improve process efficiency through the PDCA (Plan-Do-Check-Act) approach, Fishbone Diagram, and Why-Why Analysis. The results of the identification of the root of the problem show that the absence of a standardized digital system and the lack of management initiatives are the main causes of the long inspection process and high paper consumption. The implementation of E-Checksheet as a digital solution resulted in a significant reduction in cycle time, from 50 minutes to 10 minutes, as well as eliminating paper use by up to 100%. In addition, workflows become simpler, data is easier to monitor, and processes become more efficient. This study concludes that the digitization of Checksheet is able to increase operational effectiveness, reduce waste, and support continuous improvement in the manufacturing environment.

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.

The commercial sector, especially the hospitality industry, is one of the largest consumers of electrical energy, with energy costs often ranking as the second highest operational expense. This study aims to conduct a specific Electrical Energy Audit in the Office Engineering unit of Aston Denpasar Hotel & Convention Center to optimize electricity usage and improve energy efficiency. The research applies a detailed audit approach with a focus on lighting systems and air conditioning (AC), which are major contributors to energy consumption. The initial stage involves calculating the actual Energy Consumption Intensity (IKE) in kWh/m²/month and comparing the results with ASEAN and SNI standards to determine the efficiency classification of the building. Data collection is carried out through direct field measurements as primary data, using instruments such as a Clamp Meter and Lux Meter. The expected outcome of this study is the identification of detailed Energy Saving Opportunities (ESO), along with the estimation of potential monthly energy cost savings and the calculation of the investment Payback Period.

Regarding the Utilization of Non-Fat Tempeh Powder as a Functional Food Based on Local Potential. The activity was conducted in Baturan Village, Colomadu District, Karanganyar Regency, involving 55 members of the PKK (Family Welfare Empowerment) cadre. The community service method employed a Community-Based Research (CBR) approach combined with Asset-Based Community Development (ABCD). The activities included participatory counseling, group discussions, and evaluation through pre-tests and post-tests. The results demonstrated an increase in knowledge, a shift in attitudes, and a growing awareness among the PKK cadre regarding the importance of functional food based on non-fat tempeh. Furthermore, the cadre emerged as peer educators with the potential to drive program sustainability at the community level. This community service proves that community-based counseling is effective in fostering initial social transformation towards healthier and more self-reliant food consumption patterns.

The increasing consumption of packaged food products in Indonesia reflects modern lifestyle changes but simultaneously raises public health concerns related to high calorie, sugar, and fat intake. Nutritional information presented on food labels consists of multiple interrelated variables, making it difficult to identify dominant nutritional factors that characterize packaged food products. This study aims to apply Principal Component Analysis (PCA) to reduce the dimensionality of nutritional data and to map the nutritional characteristics of packaged food products in Indonesia. The research employs a quantitative exploratory approach using secondary data obtained from nutrition facts labels of 1,651 packaged food products. Seven nutritional variables were initially analyzed, namely total energy, protein, total fat, total carbohydrates, sugar, sodium, and dietary fiber. Data preprocessing included data cleaning, Z-score standardization, and iterative variable selection based on the Kaiser-Meyer-Olkin (KMO) measure and Bartlett’s Test of Sphericity to ensure sampling adequacy and sufficient correlation among variables. Variables with low sampling adequacy and perfect multicollinearity were eliminated, resulting in five variables retained for the final PCA model. Principal components were extracted using the eigenvalue greater than one criterion and confirmed through a scree plot, followed by Varimax rotation to enhance interpretability. The results indicate the formation of two principal components explaining approximately 69.7% of the total variance. The first component represents energy density and macronutrient richness, while the second component reflects carbohydrate-related characteristics, particularly the contrasting pattern between sugar and dietary fiber. Biplot visualization further illustrates product distribution based on these components. The findings demonstrate that PCA effectively simplifies complex nutritional information and provides a clear nutritional mapping of packaged food products, offering practical insights for consumers, producers, and policymakers in supporting healthier food choices in Indonesia.

This study examines the contribution of excise revenue from alcoholic beverages to Indonesia’s state revenue during the period 2021–2023. Alcoholic beverages are classified as excisable goods due to their potential negative impacts on public health and social order, making excise duty an important fiscal instrument for both revenue generation and consumption control. The objective of this research is to analyze the trend and magnitude of excise revenue from alcoholic beverages and its role in supporting national income. This study employs a quantitative descriptive method using secondary data obtained from official government publications, including reports from the Ministry of Finance and the Directorate General of Customs and Excise. The data are analyzed by comparing annual excise revenue figures and identifying their contribution to total excise and state revenue over the observed period. The findings indicate that excise revenue from alcoholic beverages showed a fluctuating but generally increasing trend from 2021 to 2023, reflecting post-pandemic economic recovery and adjustments in excise tariff policies. Despite its relatively smaller share compared to tobacco excise, alcoholic beverage excise consistently contributed to state revenue and demonstrated fiscal potential. The study implies that effective excise policy on alcoholic beverages can support state revenue while simultaneously serving as a regulatory tool to control consumption and mitigate social and health risks.

The increasing demand for real time parallel processing in cloud computing environments necessitates the development of more efficient and fault-tolerant scheduling algorithms. Traditional scheduling methods, such as static algorithms, often fall short when handling dynamic workloads and system failures, leading to increased task latency and reduced system performance. In contrast, adaptive scheduling algorithms dynamically adjust to changes in system conditions and workloads, ensuring timely task completion and optimized resource utilization. This study evaluates the performance of adaptive scheduling algorithms in real time cloud environments, focusing on key factors such as task latency, system resilience, and fault tolerance. Simulation experiments were conducted using cloud computing models that incorporate fault injection scenarios, including network failures and virtual machine crashes. The results show that adaptive algorithms significantly outperform traditional static schedulers in terms of task latency reduction and improved system resilience. These algorithms demonstrated better fault recovery times and ensured consistent real time performance, even under failure conditions. The findings highlight the advantages of adaptive scheduling in cloud environments, particularly for applications requiring rapid data processing and high system reliability. Despite the promising results, challenges remain regarding the scalability and complexity of these algorithms in large-scale cloud systems. Further research is needed to optimize adaptive scheduling algorithms for efficiency, scalability, and comprehensive performance evaluation, taking into account factors such as energy consumption, cost, and reliability. This research contributes to advancing cloud computing infrastructures that can dynamically handle real time tasks and maintain high performance under varying workloads and failures.

This research explores the impact of Cache Aware optimizations on signal processing pipelines in High Throughput computing systems. The growing demand for efficient memory management in modern computing systems, especially for data-intensive applications such as artificial intelligence (AI) and multimedia processing, necessitates the development of optimized memory hierarchies. Traditional memory systems often suffer from memory bottlenecks, significantly reducing the performance of these systems. This study investigates how memory hierarchy optimizations, particularly cache line aware optimization, dependency-aware caching, and adaptive cache replacement algorithms, can mitigate these challenges and improve system performance. Through analytical modeling and experimental benchmarking, this work evaluates various memory hierarchy configurations, including processing-in-memory (PIM) and three-dimensional integrated circuits (3D ICs), comparing them to conventional systems. The results demonstrate that Cache Aware optimizations lead to a reduction in memory access latency by up to 30%, while throughput improved by up to 40%. Additionally, cache hit rates increased by 25%, and energy consumption was reduced by up to 20%, highlighting the effectiveness of optimized memory management. The research contributes to the field by providing valuable insights into the design and implementation of efficient signal processing pipelines. It also identifies key challenges, including the need for dynamic occupancy mechanisms and DAG-aware scheduling algorithms, and suggests potential areas for future research, such as the exploration of collaborative caching approaches and further optimization of cache-adaptive algorithms. This work lays the foundation for more efficient, high-performance computing systems that can handle large datasets and complex tasks in real-time applications.

This study explores the integration of adaptive streaming models with edge computing to optimize multimedia delivery, particularly in real-time applications such as video conferencing, live streaming, and virtual reality. The proposed model leverages adaptive compression techniques, including scalable video coding (SVC) and hybrid adaptive compression (HAC), which adjust video quality based on real-time network conditions. The use of edge computing further enhances the model by processing and delivering content closer to the user, reducing latency and optimizing bandwidth usage. The research demonstrates that the edge computing-based adaptive streaming model significantly improves latency by up to 30%, reduces bandwidth consumption, and ensures higher visual quality during video playback, even under fluctuating network conditions. This model addresses key challenges in multimedia streaming, such as maintaining video quality in bandwidth-constrained environments and minimizing buffering times. Furthermore, it enhances the overall Quality of Experience (QoE) for users by providing smoother interactions and real-time responsiveness. The study highlights the potential impact of this model on various fields, including remote education, entertainment, and interactive applications, where low-latency content delivery and high-quality streaming are critical. The findings suggest that integrating AI algorithms for even more efficient compression and expanding edge computing infrastructures will further optimize multimedia streaming in the future, ensuring reliable and high-quality user experiences in increasingly connected environments.

The integration of Digital Signal Processing (DSP) algorithms in low power microcontroller based embedded systems has emerged as a promising solution to optimize energy efficiency without compromising signal accuracy and performance. This study focuses on the design and optimization of DSP algorithms specifically for microcontrollers, aimed at achieving real-time, reliable monitoring for applications such as healthcare, environmental sensing, and IoT devices. The research highlights the system's ability to handle complex signal processing tasks while maintaining low power consumption, ensuring long-term, continuous operation in remote or battery-powered environments. The system employs various techniques, including advanced power management strategies such as dynamic voltage scaling (DVS) and adaptive voltage scaling (AVS), along with lightweight AI algorithms and model pruning, to minimize energy use. The results show significant reductions in power consumption compared to traditional systems, particularly during continuous monitoring tasks. Despite this, the optimized DSP algorithms maintain or even enhance signal accuracy, ensuring that critical monitoring data remains reliable. Furthermore, the system demonstrates robust performance and reliability over extended periods, making it suitable for long-term deployment in critical applications such as wearable medical devices and industrial sensors. This research provides a foundation for the development of future low power embedded systems, emphasizing the importance of DSP-aware optimization in achieving energy-efficient and high-performance monitoring. Future improvements may include advanced AI-driven power optimization techniques, enhanced scalability, and cross-domain interoperability, ensuring that these systems can be effectively deployed across diverse applications, from healthcare to environmental monitoring.