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The cosmetics industry in Indonesia continues to experience rapid development, especially with increasing consumer preferences for local products. Hanasui, as a local cosmetic brand, offers quality facial serum at affordable prices which is available on various e-commerce platforms. This research aims to analyze the factors that influence consumer behavior in purchasing Hanasui serum, including product quality, price, online reviews and social recommendations. Referring to previous research, factors such as social class, reference groups, product knowledge, and online customer reviews are known to play an important role in cosmetic product purchasing decisions. The findings of this research are expected to provide in-depth insight for manufacturers and marketers to formulate more effective marketing strategies, increase customer loyalty, and strengthen Hanasui's position in the local cosmetics market.  

This study is about price trends in two traditional Indonesian food stalls between Warung Nasi Padang and Warteg. Based on a survey of 51 customers, they found that price differences can be caused by basic factors; operational costs, raw material prices and consumer preferences. The result of this study is that the characteristics of Nasi Padang can be seen in stable prices and competitive strategies, while the characteristics of Warteg are more affordable and flexible. This difference affects the management strategy, which provides suggestions to improve productivity and competitive pricing.  

This study aims to analyze consumer behavior regarding the use of Sunsilk shampoo, including usage experience, duration, reasons for product choice, and customer satisfaction levels. A survey was conducted involving 93 respondents, addressing their experiences and preferences for Sunsilk shampoo. Results revealed that the majority of respondents have used Sunsilk, with product quality and affordable pricing being the primary reasons for their choice. The study also highlights areas for improvement to enhance customer loyalty and satisfaction, offering valuable insights for market strategies.

The digital era has brought significant changes to various aspects of human life, including business behavior among the younger generation, especially Generation Z. This generation, which grew up amidst technological advances, has special characteristics, such as high dependence on digital technology, rapid adaptability, and a tendency to take advantage of trends to create business opportunities. This study aims to understand the phenomenon of Generation Z business behavior in the digital era through a qualitative approach with a literature study method. The results of the study show that Generation Z is not only a passive consumer, but also an innovator who utilizes digital platforms to overcome global economic challenges. Using an economic sociology approach, this study explores various social, cultural, and economic factors that influence their business behavior. In addition to offering opportunities, digital transformation also brings challenges in the form of competition between platforms that require adaptive strategies from business actors. This study emphasizes the importance of strategic responses that are in line with Generation Z's values ​​and preferences to achieve sustainability in the modern era.

PT Jasa Raharja is one of the state-owned enterprises (BUMN) operating in the insurance services sector. The employee selection process often involves subjectivity and a lack of consistent evaluation standards, making it less effective. With the implementation of a Decision Support System (DSS), this assessment process can be carried out meticulously, considering various criteria that influence the final decision. The outcome of this ranking process will determine the most suitable candidate for acceptance. To achieve accurate results, the ARAS and Weighted Product comparison methods are applied. The data used are derived from the company's criteria. The criteria utilized in this study include interviews, psychometric tests, work experience, age, and education. The results of this study produced different rankings: Irfan, according to the ARAS method, has a preference weight of (0.8912), while in the WP method, he has a preference weight of (0.1229).

Decision Support System (DSS) is a system used to assist decision makers in determining the best alternative based on certain criteria. Determining retirement eligibility for ASN (State Civil Apparatus) employees is one of the important aspects in human resource management, where this decision affects the future of employee careers, their welfare, and state budget management. This study proposes the development of a decision support system for determining retirement eligibility for ASN employees using the Multi-Attribute Decision Making (MADM) method. The MADM method is a decision-making technique that considers several criteria and alternatives to produce optimal decisions. In this study, the criteria used to determine retirement eligibility include retirement age, length of service, work performance, health, and other factors relevant to the applicable pension policy. The method used in this system includes several steps, namely identifying criteria, assigning weights to each criterion, and evaluating alternatives based on these criteria using calculation techniques such as AHP (Analytical Hierarchy Process) or TOPSIS (Technique for Order Preference by Similarity to Ideal Solution). The results of this evaluation will provide recommendations on whether an employee is eligible for retirement or can still continue his career. The developed system is expected to facilitate the decision-making process regarding ASN employee retirement by providing objective and transparent analysis, so that the decisions taken are more appropriate and in accordance with applicable policies. Thus, this system can improve efficiency and effectiveness in human resource management in government agencies.

The research aims to analyze the form of contract delay in the Civil Code and outline the implications of contract delay due to force conditions in the Covid-19 pandemic. To answer this problem, normative legal research methods or library research are used. This normative type of research uses qualitative analysis, namely by explaining existing data with words or statements sourced from prime legal materials, secondary legal materials and tertiary legal materials. Data obtained from the literature will be analyzed deductively. Analysis is a method of analyzing general legal knowledge data obtained from laws and literature and then implemented on the problems raised, so that answers to specific problems are obtained. The results of the research show that the form of contract delay is regulated in articles 1244-1245 of the Civil Code which determines that force majeure can eliminate the element of default in the agreement, as long as the force force actually occurs and prevents one of the parties from carrying out its obligations, the type of contract delay is a contract in banking institution agreements, contracts in certain collateral imposition agreements, and contracts in business agreements. The implications of contract delays due to force majeure conditions in the Covid-19 pandemic where actions occur by not carrying out or delaying carrying out the achievements stated in the contract resulting in default and ultimately civil legal disputes between the parties involved in the contract. Dispute resolution through court or litigation refers to procedural law regarding the requirements under which a dispute or legal action can be submitted and the efforts that can be taken by the parties. as for preferences for conflict resolution (ADR) or non-litigation or preferences for conflict resolution using mediation, arbitration and negotiation methods

Around 50-90% of women in the world experience dysmenorrhea. The prevalence of dysmenorrhea in Indonesia is reported to reach 64.25%, where 54.89%. Complementary therapy is an alternative to overcome dysmenorrhea because it is considered more natural and has minimal side effects. This study aims to review research articles related to complementary therapies that can be used to overcome dysmenorrhea. literature search through academic databases such as Google Scholar, PubMed and ScienceDirect. Literature selection is carried out based on inclusion criteria (scientific articles in the last 5 years, English/Indonesian, relevant topics) and exclusion (irrelevant articles, no abstract/full-text). Interventions such as physical therapy (yoga and stretching), compress therapy, aromatherapy, acupressure, reflexology, and consumption of natural ingredients provide safe and natural solutions to reduce pain intensity. The selection of the appropriate method can be adjusted according to individual preferences, accessibility, and the severity of the pain experienced.

Packaged Drinking Water (PDW) has now become one of the most practical products dominating the market, offering a variety of advantages and benefits. The fierce competition among PDW producers drives consumers to be increasingly discerning and selective in making purchasing decisions. Consumer choices are often influenced by pressing needs, which have recently shifted toward a preference for more natural food and beverage products. However, amidst the fast-paced modern lifestyle, instant products remain a favored solution due to the convenience they offer. By leveraging store atmosphere strategies, this business has successfully stayed competitive and maintained its presence in the market. The relationship between store atmosphere and consumer purchase interest is significant, as first impressions often serve as a critical factor in consumer evaluations of a store. Elements such as exterior design, overall interior, store layout, and interior displays play a vital role in creating that appeal. This study aims to analyze the extent to which store atmosphere influences purchase interest in the Club brand bottled water. The research methodology involves distributing questionnaires to 100 respondents as the primary data source.

The aim of this research is to find out how children's purchasing habits in Mayangan Village, Panggung Rejo District, Pasuruan City are influenced by the family's economic situation and level of education. Many factors, such as parents' education level and family financial situation, can influence children's consumption habits and preferences for products and services. One hundred respondents who were parents and children in Mayangan Village were given questionnaires and survey methodology as part of the quantitative methodology used in this research. Based on the study's findings, children's purchasing habits are strongly influenced by their parents' level of education, and more educated parents often have a greater awareness of the importance of controlling consumption and how it affects children's lifestyles. Children's consumption levels can also be influenced by the economic circumstances of their families; families with higher incomes are more likely to meet their children's consumption needs, while families with lower incomes usually have tighter spending controls. Therefore, it is hoped that the government and society will pay more attention to improving the quality of education and the economic conditions of families in order to create a generation that is wiser in managing consumption and their needs. This research concludes that the two factors, namely the level of parental education and the family's economic conditions, have a significant influence on children's consumer behavior.

This study explores the marketing strategies used by traders in Pasar Besar, Pasuruan City in dealing with changes in consumer behavior in the digital era. Data were obtained through semi-structured interviews and questionnaires, involving traders representing various types of products and marketing methods. Analysis was conducted qualitatively to explore key themes and quantitatively to identify patterns and trends. The results show that traditional marketing (direct selling) is still relevant because direct interaction creates emotional connections and increases buyer loyalty. However, this approach faces challenges due to the shift in buyer preferences to online shopping. Meanwhile, online marketing offers wider market reach, cost efficiency, and time flexibility, although its success is highly dependent on promotional capabilities and delivery management. The combination of traditional and online strategies has proven effective in reaching various buyer segments, providing significant sales increases. This approach requires careful planning to optimize the benefits of both methods without increasing operational costs. By understanding market needs and adjusting strategies, traders can maximize the potential of both approaches to achieve success amidst changing times.

This research explores the factors influencing the adoption of Islamic digital banking among millennials in Indonesia. Employing a qualitative approach through a comprehensive literature review, the study analyzes existing research on Islamic digital banking adoption, focusing on academic journals, conference proceedings, and industry reports. The findings reveal that perceived ease of use and usefulness of digital banking services are crucial. Additionally, social influences, such as peer and family recommendations, and personal factors, including demographics and cultural background, significantly impact adoption rates. This research provides valuable insights for Islamic banks in Indonesia to develop targeted strategies for millennial engagement. By understanding these influencing factors, Islamic banks can tailor digital banking services to meet the specific needs and preferences of this demographic, thereby enhancing market penetration and fostering growth within the evolving digital banking landscape.

The study aims to investigate the impact of brand image and Product Quality Performance of Oppo smartphones. The main objective of the study was to analyze the effect of product quality preference by consumers. This type of research uses a quantitative approach and multiple techniques were used for data analysis in this research. The population of this research is the citizens of Bangladesh who knows and using the smartphone Oppo products. A sample of this research is 150 respondents using the purposive sampling method. The various regression analyses were used in testing hypothesis. SPSS was used for the data -analyzing purpose in this research. The research has indicated that Brand image significantly effects Oppo Telecom performance and quality of products too. Basically research is prepared on the basis of practical observation and determines whether brand image could have a significant impact on the smartphone’s service at OPPO Mobile Company Ltd. This research was developed to learn about the practical scenario of a Telecommunications Company. These papers were conducted to find out the branding strategy of OPPO mobile performance in the telecom industry. 

The study aims to investigate the impact of brand image and Product Quality Performance of Oppo smartphones. The main objective of the study was to analyze the effect of product quality preference by consumers. This type of research uses a quantitative approach and multiple techniques were used for data analysis in this research. The population of this research is the citizens of Bangladesh who knows and using the smartphone Oppo products. A sample of this research is 150 respondents using the purposive sampling method. The various regression analyses were used in testing hypothesis. SPSS was used for the data -analyzing purpose in this research. The research has indicated that Brand image significantly effects Oppo Telecom performance and quality of products too. Basically research is prepared on the basis of practical observation and determines whether brand image could have a significant impact on the smartphone’s service at OPPO Mobile Company Ltd. This research was developed to learn about the practical scenario of a Telecommunications Company. These papers were conducted to find out the branding strategy of OPPO mobile performance in the telecom industry.

This study uses hot glue as the main material for making 3D nail art accessories because of its ease of formation and its potential to reduce nailist dependence on 3D accessory techniques. The author made 3D nail art accessories with and without tool molding, with the aim of understanding the manufacturing process, assessing feasibility, and evaluating the level of public preference for this product. This study used observation, literature, documentation, questionnaire, experiment, and qualitative descriptive analysis methods. The results of the second experiment showed that nail art products from hot glue had high feasibility, with the highest scores on the color indicators (14), adhesion (15), and neatness (14), and designs that received a decent score (13). Public tests from 30 respondents showed a high level of agreement on the aspects of color (4.3), adhesion (3.9), neatness (4.3), and design (4.2). The process of making 3D nail art accessories from hot glue using tool molding involved applying baby oil, shooting hot glue, and cutting with scissors. This study suggests the need for further research to improve the design and color variations of 3D nail art accessories made from hot glue.

Bagelen bread is a processed dry bread product, processed by re-baking the finished bread to become dry bread. This study aims to determine the right  formulation of canna  starch substitution  for wheat flour in making bagelen dry bread, and to examine the effect of canna starch substitution on the physical properties, chemical properties and sensory properties of bagelen. The study was conducted at the Laboratory of Food and Agricultural Product Processing, Faculty of Agricultural Technology, University of 17 August 1945 Semarang. The research design used a completely randomized design (CRD) with 4 treatments and each treatment was repeated 3 times. Data were analyzed using Anova (Analysis of Variance) at a 95% confidence level. If significantly different, Duncan's Multiple Range Test (DMRT) will be carried out. The results of the analysis of physical hardness properties showed significant differences and the results of the color analysis (L a * b *) showed no significant differences. The results of the chemical properties analysis showed that there was no significant difference in water, ash and fat content, but there was a significant difference in protein and carbohydrate content in bagelen bread. The protein content of bagelen bread will decrease in line with the increasing portion of ganyong starch. Meanwhile, carbohydrate levels will increase as the number of canna starch substitutes increases. The results of the sensory properties analysis of color, aroma, taste and texture of bagelen bread showed significant differences. Substitution of canna starch up to 40% did not affect the level of preference for the attributes of taste, color, and aroma of bagelen bread, but the texture of the substitution with canna starch was less preferred.

This study analyzes e-commerce platform preferences for digital marketing strategies among Generation Z students at the Institut Teknologi dan Bisnis Semarang using the Simple Additive Weighting (SAW) method. By evaluating four platforms (Tokopedia, Lazada, Shopee, TikTok) based on ease of use (25%), user experience (25%), promotions (15%), transaction security (15%), and product completeness (15%), the results show that Shopee leads (0.9333) with the best interface and features. TikTok (0.9080) excels in promotions but lacks security, Tokopedia (0.8820) remains consistent, while Lazada (0.8084) needs UX improvements. The implications suggest that platforms should optimize mobile interfaces, collaborate with influencers, and enhance visual search features to meet Gen Z’s demand for interactive experiences and economic value..

Pakistan is a developing country. Its transportation infrastructure mainly consists of road network. About 95% passengers and fright is transported using the road network. This high demand on road network is because of the unreliable railway system between the cities. Due to such high demand on road network the accident involvement risk of an individual is much high as compared to developed countries. This study uses a new modeling approach to estimate road safety risk for WTP.  A correlated random parameters Tobit model (heterogeneity-in-mean) is integrated with machine learning (Decision tree).  The decision tree categorizes higher-order interactions, while the model captures unobserved correlations and heterogeneity. The framework examines WTP determinants using a representative sample of 3178 road users from Pakistan. The model estimates WTP for different (fatal and severe injury) risk reductions to monetize road traffic crash costs. Results show maximum respondents are willing to support safety improvement policies. The model reveals significant WTP heterogeneity linked to perceptions of road safety and accident risk. Systematic preference heterogeneity emerges through higher-order interactions, offering insights into WTP relationships. Marginal effects highlight varying sensitivities to explanatory variables, quantifying their impact on WTP probability and magnitude. The framework provides two key contributions. It identifies public WTP determinants, emphasizing heterogeneous effects. It also helps in prioritization safety policies by understanding public sensitivity to WTP. The insights further emphasizing on the importance of road safety interventions to the specific socio-economic profiles of road users. This study offers a significant contribution to road safety improvement by providing valuable recommendations for policy makers. By integrating detailed socio-economic factors, it also addresses the urgent need for targeted traffic safety interventions in Pakistan. These findings are expected to aid policymakers and stakeholders in developing effective strategies to enhance road safety and reduce the accident involvement risk effectively.

Cognitive and non-cognitive abilities are essential indicators in assessing an individual's human resource (HR) capacity. Cognitive abilities refer to intellectual potential, while non-cognitive abilities encompass social and emotional aspects. This study aims to analyze the relationship between cognitive and non-cognitive skills and preferences for formal or informal employment sectors. The research utilizes secondary data from the Indonesian Family Life Survey (IFLS) conducted in 2014 and employs a probit regression method with several control variables. The analysis reveals that cognitive skills have a significantly positive association with the likelihood of working in the formal sector. These findings provide valuable insights into the role of individual skills in determining employment sector choices.

The purpose of this study is to analyze the effects of store atmosphere and customer lifestyle on purchasing behavior, focusing specifically on Parewa customers. Employing a quantitative survey methodology, the research integrates an explanatory approach with a correlational design to explore the relationships between these variables. The study follows a cross-sectional framework, with data collected at a single point in time. The individual purchaser serves as the unit of analysis, and the research is carried out within a natural, real-world environment. The findings demonstrate a statistically significant and positive correlation between store atmosphere and customers' purchasing decisions. This implies that an inviting and comfortable store environment increases the likelihood of customer purchases at Parewa. Additionally, the results show a significant positive correlation between lifestyle and purchasing behavior, suggesting that customers with enhanced lifestyles are more inclined to purchase Parewa products. These insights underline the importance of aligning store ambiance and customer lifestyle preferences to drive sales effectively.