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This research aims to develop a recommendation system that can help retail business owners design more effective, data-driven promotional strategies. This system utilizes data mining techniques and the Apriori algorithm to extract association rules from consumer transaction data, thereby identifying more specific and accurate consumer purchasing patterns. Based on these patterns, the system can provide relevant promotional recommendations, such as product bundling, buy-one-get-one offers, or special discounts, which can attract consumer interest and increase sales. The system's implementation process is presented in the form of an interactive dashboard, which allows business owners to upload their transaction data, adjust analysis parameters, and visualize the promotional recommendation results in a way that is easier to understand and can be directly applied to their marketing strategies. This system not only provides well-structured promotional recommendations but also enables retail business owners to make more informed and efficient decisions in determining the type of promotion to implement, based on insights gained from analyzing their own transaction data. By utilizing this system, business owners can optimize their promotional strategies more efficiently and effectively, because they can quickly identify promotions that best suit consumer purchasing patterns. This can increase impulse sales, as relevant promotions will encourage consumers to purchase more products. Furthermore, this system shows great potential in increasing consumer engagement, as the promotions provided are more personalized and tailored to each consumer's preferences. Therefore, the implementation of this recommendation system has the potential to drive significant sales growth and help retail business owners achieve greater profits, as well as accelerate their business decision-making process. This system, ultimately, not only benefits business owners but also enhances the consumer shopping experience with promotions that are more tailored to their needs and preferences.

Employee shift scheduling in the hospitality industry remains a critical yet complex task due to fluctuating operational demands, fairness requirements, and labour regulations. Many hotels still rely on manual scheduling methods, which are time-consuming and prone to biases, particularly in ensuring fair workload distribution across employees. Despite numerous studies on workforce scheduling, limited attention has been given to integer linear programming (ILP) models that address gender-based restrictions and operational fairness simultaneously in real-world hotel contexts, especially in developing regions such as Central Java. This study proposes an Integer Linear Programming (ILP) model to generate optimal shift schedules for hotel staff over a 31-day planning horizon. The model incorporates operational constraints, including one shift per day, gender-based restrictions (which prevent female staff from working night shifts), availability, minimum staffing levels, and fairness in workload distribution. Key parameters and binary decision variables were defined to ensure compliance with the hotel's specific requirements. Empirical data were collected from a hotel in Central Java involving 20 employees, and the model was implemented using Python with a Gurobi solver. The ILP model successfully generated optimal schedules in under 10 seconds, significantly outperforming the manual method, which required over 4 hours. While the manual schedule resulted in an imbalance where some employees worked over 27 days and others only 22, the ILP approach enforced a strict maximum of 26 working days for all staff. Furthermore, the fairness index (FI) improved from 19.2% in the manual method to 0% in the ILP-generated schedule, indicating complete equity in workload allocation. The proposed ILP model demonstrates its effectiveness in improving scheduling fairness, operational efficiency, and compliance with labour policies. This work not only addresses a critical research gap in hospitality scheduling practices in Indonesia but also offers a replicable framework for other labour-intensive service sectors. Future research may explore multi-objective extensions incorporating employee preferences, satisfaction, and dynamic demand fluctuations.

This study examines how lighting perception influences reading focus and satisfaction in book cafés in Bandung, Indonesia. A descriptive quantitative approach was employed, involving a preference survey and an experimental study conducted at a selected book café. Thirteen female participants were assigned to three distinct seating areas characterized by different lighting conditions. Participants completed reading tasks and evaluated their environmental comfort, focus level, and reading satisfaction. The findings indicate that lighting comfort significantly correlates with focus (ρ = .000, p < .01) and reading satisfaction (ρ = .016, p < .05), although focus and satisfaction were not significantly related. ANOVA results revealed a significant difference in perceived lighting comfort across seating points, with the most favorable conditions found at Point A. These results underscore the importance of lighting design in enhancing the reading experience in multifunctional public spaces such as book cafés. Future research should consider additional environmental variables, including noise and thermal comfort.

Gojek, as a leading on-demand service company in Indonesia, continues to leverage technological advancements and shifts in consumer behavior from offline to online shopping. One of its flagship services, GoFood, faces challenges in maintaining its market position and increasing the number of transactions due to increasing competition in the food delivery industry. This study aims to explain the role of positive emotions in mediating the influence of promotional appeals on impulse purchases among GoFood customers. This study uses consumer behavior theory and the Stimulus-Organism-Response (S-O-R) model as a theoretical basis. The study was conducted in Denpasar City, involving 180 respondents through a survey method using questionnaires distributed offline and online. The sampling technique used was non-probability sampling with a purposive sampling approach. Data analysis was carried out using path analysis, classical assumption tests, Sobel tests, and Variance Accounted For (VAF) tests with the help of SPSS 25 software. The results showed that all proposed hypotheses were accepted. Promotional appeals had a positive and significant effect on impulse purchases. Promotional appeals also had a positive and significant effect on positive emotions. Furthermore, positive emotions also significantly influence impulse buying. Positive emotions have been shown to partially mediate the effect of promotional appeal on impulse buying. Practical implications of this research suggest that GoFood optimize attractive discount promotions by providing users with greater flexibility and control to evoke positive emotions that encourage impulse buying behavior. Discount promotions should be designed creatively and personally, using engaging visuals, persuasive language, and offers tailored to customer preferences.

The low level of public awareness regarding hand hygiene has become a contributing factor to the spread of infectious diseases transmitted through contact. This condition has sparked innovation in the development of hand sanitizer products made from natural ingredients, which are not only effective in killing germs but also safe and environmentally friendly. One promising natural ingredient is pineapple peel (Ananas comosus L.), which is generally considered organic waste. Pineapple peel contains bioactive compounds such as flavonoids, tannins, and the enzyme bromelain, all of which possess antibacterial properties. This study aims to evaluate the antibacterial effectiveness of pineapple peel extract against the growth of Escherichia coli and assess its feasibility as an active ingredient in spray hand sanitizer formulations. The research method involved preparing spray hand sanitizer with varying concentrations of pineapple peel extract: 50%, 60%, 70%, 80%, and 90%. Antibacterial activity was tested using the disk diffusion method to measure the inhibition zone against E. coli. Additional evaluations included physical quality tests such as pH, spreadability, homogeneity, organoleptic properties, skin irritation test, storage stability, and consumer preference. The results showed that the 90% concentration formulation had the highest antibacterial effectiveness, with an inhibition zone of 22 mm. This formulation was also the most preferred by respondents due to its strong and fresh aroma, appealing color, and pleasant texture on the skin. All formulations had pH values within the safe range (5.5–7), did not cause skin irritation, and demonstrated stability during storage. In conclusion, pineapple peel extract is effective as a natural active ingredient in spray hand sanitizer formulations. This product not only exhibits strong antibacterial activity against E. coli but is also safe, stable, and presents an environmentally friendly alternative to support improved public hand hygiene.

This study aims to determine the influence of marketing communications through Instagram on Generation Z's shopping interest in Makassar, with a focus on dyaozha clothing products. A qualitative approach was adopted, utilizing methods such as observation, documentation, and in-depth interviews with Generation Z consumers. The research participants included shop owners and followers of the dyaozha Instagram account. The findings reveal that marketing communications through Instagram—particularly through the use of engaging visual content, appealing design implementation, and active interaction—play a crucial role in shaping Generation Z's shopping interest. Instagram features such as Stories, Reels, interactive polls, and comment sections enable brands to connect more personally with potential buyers. Attention-grabbing content helps build initial interest, while endorsements and testimonials contribute to trust and credibility. Furthermore, consistent interaction between the brand and followers fosters emotional connection and brand loyalty. These factors collectively influence both interest and purchasing decisions among the Gen Z demographic. The study concludes that dyaozha’s strategic use of Instagram marketing communications has proven effective in influencing the shopping behavior of its target audience. Recommendations for dyaozha include the continuous optimization of Instagram's interactive features—such as Q&A sessions, behind-the-scenes content, and user-generated content campaigns—to sustain engagement and improve conversion rates. Additionally, it is suggested that dyaozha expands its reach by targeting broader market segments and utilizing data-driven content strategies to adapt to evolving consumer preferences. This research highlights the vital role of social media in modern marketing strategies, especially when targeting digitally native audiences like Generation Z.

This study aims to analyze product innovations in the Musyarakah contract applied by Islamic financial institutions in Indonesia. The research uses a qualitative descriptive method with case studies from several Islamic banks. Data were collected through documentation and interviews with practitioners. The study found that innovations in Musyarakah products are largely driven by the need to enhance competitiveness and address the unique demands of the Indonesian market, particularly among micro, small, and medium enterprises (MSMEs)  Several banks have modified the classical Musyarakah structure to align with customer preferences and regulatory standards. For instance, some institutions implement tiered profit-sharing mechanisms, structured financing tenures, and integration with digital banking platforms to improve accessibility and monitoring. In addition, hybrid contracts that combine Musyarakah with other contracts, such as Ijarah or Murabahah, are increasingly used to create more flexible and customer-friendly financing solutions. Practitioners interviewed noted that one of the main challenges in implementing Musyarakah-based products is the higher operational and monitoring cost, due to the nature of partnership-based risk-sharing. However, these challenges are being addressed through technological innovation, such as mobile applications that help track business performance and automate profit-sharing calculations. The study concludes that product innovation in Musyarakah financing can enhance the inclusivity and effectiveness of Islamic banking in Indonesia, especially in supporting entrepreneurial sectors. Nevertheless, standardization, regulatory support, and continued investment in human resource capacity remain critical for sustained innovation. Future research may explore the customer perception of Musyarakah products, the impact of these innovations on financial performance, and comparative studies with conventional financing models.

The Message Queue Telementary Transport (MQTT) protocol is able to adjust the sending and receiving of messages to monitor in accordance with the user's preferences because the sending and receiving of messages is topic based on a specified topic, making it necessary to routinely monitor the condition of patients who have been diagnosed with heart problems from a distance. With the aim to perform a Quality of Service (QoS) analysis with throughput, delay, and packet loss parameters using Unshielded Twisted Pair internet transmission media (UTP) and Wireless, the goal of this research is to design and implement (MQTT) a heart rate monitoring device with an EKG module as a sensor and ESP32 as a microcontroller. On the Ubidots website, EKG signals are transmitted over the internet and shown in real time. QoS analysis is performed using the Wireshark application. Data was collected on two scenarios at intervals of 30 minutes, 1 hour, 2 hours, 5 hours, 8 hours, 12 hours, 18 hours, and 23 hours. The throughput, latency, and packet loss metrics used in this study's results cause different value variations; these are influenced by the weather, internet bandwidth, computer, and router specifications. According to testing, the tool is portable and has a 3000mAh battery, but it has the restriction that it can only be used with reliable internet and bandwidth.

This study aims to examine the influence of independent variables—Social Media, Pricing, and Promotion—on the dependent variable, Repurchase Decision, at Kedai Kopi Bersahaja. A quantitative research method was employed, utilizing multiple linear regression analysis with the assistance of SPSS 25 software. The population of the study consisted of 226 consumers, and a sample of 107 respondents was selected using incidental sampling techniques. Data were collected through questionnaires distributed to visitors who had made at least one purchase at the coffee shop. The results of the analysis indicate that each independent variable—Social Media, Pricing, and Promotion—has a positive and statistically significant partial influence on the Repurchase Decision. Additionally, the variables collectively demonstrate a strong simultaneous influence, suggesting that an integrated marketing approach is crucial for fostering customer retention and encouraging repeat purchases. Among the three, Social Media showed the most dominant influence, emphasizing the growing role of digital presence and online engagement in shaping consumer preferences and purchasing patterns. Based on these findings, it is recommended that Kedai Kopi Bersahaja maximize the use of social media platforms such as Instagram, TikTok, and Facebook by creating engaging, relevant, and interactive content that resonates with the target audience. Content strategies may include customer testimonials, behind-the-scenes videos, product highlights, and limited-time offers. Pricing should be evaluated periodically to remain affordable yet profitable, considering both market competition and perceived customer value. Meanwhile, promotion efforts can be diversified through the use of loyalty programs, bundle offers, student discounts, and digital coupons. The synergy between these three marketing factors—if consistently and strategically applied—is expected to enhance customer loyalty, strengthen brand image, and significantly increase the likelihood of repurchase decisions. These efforts are essential for building sustainable business growth in the competitive food and beverage industry.

This study aims to analyze the influence of green advertising, green packaging, and green product on the purchase decision of The Body Shop products, with customer satisfaction as an intervening variable. The background of this research is based on increasing consumer awareness of environmental issues, which drives changes in consumer preferences towards environmentally friendly products. Green marketing strategies are important in shaping a positive brand image and influencing consumer purchasing behavior. This study uses a quantitative approach with a path analysis method processed using SPSS software. The respondents in this study amounted to 100 students from the Faculty of Economics and Business, Wijaya Kusuma University Surabaya who had bought The Body Shop products. The results of the analysis show that green advertising, green packaging, and green products have a significant effect on customer satisfaction. Furthermore, green advertising and green products have also been shown to have a direct influence on consumer purchase decisions, while green packaging does not show a significant influence on direct purchase decisions. In addition, customer satisfaction has been shown to play a significant mediating variable in the relationship between green marketing variables and purchase decisions. These findings confirm that the implementation of green marketing strategies not only has a positive impact on the company's image and social responsibility, but also plays an important role in increasing customer satisfaction and encouraging consumers to make purchasing decisions. Therefore, companies are advised to continue to develop and integrate eco-friendly elements in their marketing strategies to increase competitiveness and consumer loyalty. This research also makes a theoretical contribution to the development of consumer behavior studies related to sustainable marketing, especially among the younger generation.

The election of the OSIS chairman at SMK Al-Ikhlas Losari often influences subjectivity, so a goal-oriented system is needed to select the best candidate. This study applies the WASPAS method in a Decision Support System to broadcast OSIS chairman candidates based on criteria such as attendance, integrity, academic achievement, and health. Data were collected through observation, interviews, and literature studies, then processed using Microsoft Excel. The results of the WASPAS calculation yield a Qi preference value, which determines the ranking of candidates transparently. This system reduces subjectivity, increases efficiency, and ensures the selection of competent leaders, supporting the OSIS vision.

The study presents a comprehensive framework for optimizing customer retention budget by integrating clustering, classification, and mathematical optimization techniques. The study begins with the IBM Telco dataset, which is prepared through data cleansing, encoding, and scaling.  In the preliminary phase, customer segmentation is performed using K-Means clustering, with k = 3 and k = 4 identified as optimal based on the elbow method and Silhouette score. The configurations produced three (Premium, Standard, Low) and four (Premium, Standard Plus, Standard, Low) customer segments based on purchase preferences, which served as input features for churn prediction. In the second phase, the dataset was divided into training and test sets in an 80:20 ratio, followed by data balancing using the Synthetic Minority Over-sampling Technique (SMOTE) and Edited Nearest Neighbors (ENN). Multiple classification algorithms were evaluated, including Naive Bayes (NB), Random Forest (RF), Categorical Boosting (CatBoost), Light Gradient Boosting Machine (LightGBM), Extreme Gradient Boosting (XGBoost), Gradient Boosting (GB), Support Vector Machine (SVM), Logistic Regression (LR), K-Nearest Neighbors (KNN), and Multi-Layer Perceptron (MLP) using F1-score as the performance metric. CatBoost and LightGBM, with k values of 3 and 4, respectively, were the highest-performing classification models, with only minimal differences in performance.    Ultimately, customer segmentation established customer prioritization, whereas churn prediction assessed customer churn likelihood. Four distinct configurations were assessed utilizing mixed-integer linear programming (MILP) to optimise retention budget allocation within uniform budget constraints, discount amounts, and churn thresholds. In both the k=3 and k=4 scenarios, CatBoost surpassed LightGBM, with CatBoost at K=3 effectively discounting 66% of at-risk consumers across all three segments, hence improving the intervention's efficacy and budget allocation, making it the ideal choice for maximizing customer retention. The results demonstrate the importance of segmentation in enhancing retention budgeting and budget optimization, particularly concerning parameter sensitivity.

This study aims to explore the behavioral dynamics of Generation Z (Gen Z) toward digital culinary brands on TikTok, a platform increasingly central to youth consumer engagement. The research investigates how Gen Z interacts with, interprets, and forms relationships with culinary content in a digital environment shaped by algorithmic trends and participatory culture. Employing a qualitative phenomenological approach, data were collected through in-depth interviews with 12 Gen Z participants aged 18–24 years who actively engage with culinary brand content on TikTok. Additional data were obtained from observational analysis of brand-related content and user interactions on the platform. Thematic analysis revealed three core themes: emotional engagement with sensory-rich food content, digital consumption as identity performance, and expectations of brand authenticity and interactivity. Participants expressed strong affective responses to visually appealing and immersive content, linked their brand preferences to personal values and social identity, and favored brands that demonstrated responsiveness, humor, and human-like interaction. These findings highlight the role of TikTok not only as a marketing tool but as a cultural space where brand perception and loyalty are socially constructed. This study contributes to the theoretical understanding of consumer engagement by situating Gen Z’s behavior within a sociocultural and digital framework. Practically, it offers insights for culinary brands to develop more authentic, interactive, and value-driven content strategies. The findings also suggest implications for digital marketing policies and content regulation. Future research is recommended to explore cross-platform behaviors and cultural variations in digital brand engagement.

Bos Salad Bengkalis is a culinary company that offers healthy and fresh salads. With rapid business growth, managing customer data, reward programs, and transactions is becoming increasingly important. For this reason, a Mobile-based membership management system is needed that can improve customer experience by creating a Reward program, then to facilitate management and customer transaction data, a Website-based system is also made for the admin. This research aims to design and develop an effective and efficient customer membership management system using the Rapid Application Development (RAD) method. This method was chosen because it allows rapid and orderly development, so that the system built can meet the needs. The main features to be developed include member registration, member profile management, point and reward system, and transaction management. Through the implementation of this system, Bos Salad Bengkalis can obtain more accurate data on customer behavior and preferences. Thus, the development of this membership management system is a strategic step for Bos Salad Bengkalis in facing challenges and taking advantage of opportunities in today's digital era.

This study aims to describe the level of consumer liking or acceptance of a product, it absolutely requires a test called the organoleptic test and hedonic test This research was conducted in quantitative analysis In the implementation of this study, the experiment conducted was an experiment consisting of 4 treatments, Each treatment was carried out as many as 3 replicates so that 12 experimental units were obtained The treatments used were po (control) = regular sauce 100% Traditional chilli sauce packaging, p1 = 50% papaya sauce and 50% carrot sauce 500 grams of papaya + 500 grams of carrots, p2 papaya sauce (pure) 100% 1 kg papaya, p3 = carrot sauce (pure) 100% 1 kg organoleptic research results The highest colour was p1 4.3, aroma p3 3.9, taste p1 3.95, and texture p14. 25. As for hedonics, the highest was for colour p1 4.75, aroma p3 4.55, taste p1 4.25 and texture p3 4.5. Organoleptic tests involving colour, aroma, taste and texture showed values for colour in sample 1 with an average value of 4.3, aroma in sample 3 with an average value of 3.9, taste in sample 1 with an average value of 3.95 while texture in sample 1 with an average value of 4.25. The results of the hedonic test assessed consumer preference for sauces in samples 1 and 3 for sample I with an average value of 4.75 and a taste of 4.25 in the like category. While in sample 3 consumer assessment of aroma average value 4.55 and texture 4.5 category.

Effective pricing is a key factor in enhancing competitiveness and customer satisfaction in the optical industry. This study aims to analyze the pricing strategy of eyeglass products based on market segmentation at Optik YAR Padang. Market segmentation was conducted by grouping consumers according to demographic, psychographic, and purchasing behavior characteristics. The research employed a quantitative approach using survey questionnaires distributed to customers, and the data were analyzed using cross-tabulation and chi-square tests. The results show significant differences in price preferences among various market segments, particularly based on age, income level, and the purpose of eyeglass use (fashion or vision correction). The findings recommend that Optik YAR implement differentiated pricing strategies tailored to each target segment, such as economic pricing for students and premium pricing for professionals. By applying segmentation-based pricing strategies, the company can improve customer loyalty and sales efficiency.

The diversity of cultural preferences among students creates interesting communication dynamics in the scope of friendship on campus. Using descriptive qualitative research with an ethnographic approach, this study aims to find out how students who are fans of popular culture (Korean and Japanese) and local culture (Javanese) negotiate their cultural identity. Through participatory observation and interviews conducted with three informants, the results showed the existence of openness, adaptation, and the tendency of functional biculturalism. So that intercultural communication can take place harmoniously and support the formation of a flexible multicultural identity.

The making of kris in Sumenep Regency is a cultural heritage that is not only firmly rooted in historical values, but also faces modern challenges in the form of changing consumer preferences. This study aims to analyze the influence of knowledge and skill management on product innovation by keris masters. Using quantitative methods through regression analysis, the study found that skills had a significant positive influence on product innovation, while knowledge management showed a significant negative influence. This shows that the success of product innovation is highly dependent on the application of practical skills and the appropriate management of knowledge. These results are an important basis for the development of local culture-based innovation strategies in the traditional creative industry sector.

This study aims to analyze the Effect of Financial and Non-Financial Compensation on Turnover Intention Levels in Generation Z Employees. Generation Z, known for its unique characteristics such as preference for work flexibility, technology, and work-life balance, shows a relatively high level of turnover intention compared to previous generations. Compensation is one of the important factors that can influence employees' decisions to stay or leave a company. This research method uses a quantitative approach with data collection techniques using questionnaires distributed to 50 Generation Z employees. Data were analyzed using classical analysis tests and multiple linear regression to determine the effect of compensation on turnover intention. The results showed that compensation had a significant effect on turnover intention, which means that the higher the level of compensation received, the lower the employee's desire to leave the company (Turnover Intention). These findings provide implications for human resource management to design a competitive compensation strategy that is in accordance with Generation Z's expectations in order to reduce turnover intention levels.

The objective of this study was to assess the sensory acceptability of Italian Meringue Butter Cream in terms of texture, aroma, color, and taste, using varying proportions of sweeteners. The research was carried out in the Culinary Arts Laboratory of the Ibu Kartini Academy of Social Welfare. An experimental approach was employed, utilizing a Completely Randomized Design (CRD). The study involved three treatments with different ratios of granulated sugar to stevia: F1 (220 g : 20 g), F2 (150 g : 25 g), and F3 (80 g : 30 g). A total of 35 untrained panelists participated in the hedonic sensory evaluation. The resulting data were analyzed using the non-parametric Kruskal-Wallis test, followed by the Mann-Whitney U test at a 95% confidence level (α = 0.05). The findings revealed that the variation in sweetener proportions significantly influenced the panelists’ preferences regarding aroma, texture, color, and taste. Among all formulations, the F1 treatment received the highest level of overall acceptance.