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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 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 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.

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 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 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.

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 discusses the importance of creating a logo as a visual identity for Micro, Small, and Medium Enterprises (MSMEs) in increasing consumer appeal. A strong visual identity can strengthen brand image and differentiate MSME products from their competitors. Through a graphic design and visual communication approach, the logo is designed based on business characteristics and target market preferences. The results of the study show that a strategically designed logo can increase consumer trust, strengthen brand image, and provide added value to the product. Creating a logo as a visual identity has proven to be an effective step in supporting MSME marketing in a more professional and attractive way.

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.

The need for adaptive and personalized learning systems is increasing along with the advancement of information technology. Informatics students face challenges in choosing materials that suit their abilities and interests. This research aims to design and evaluate an Generative AI-based independent learning recommendation system in Indonesian that can help students navigate the learning process more efficiently. The system utilizes a generative language model to provide relevant learning material suggestions based on students' individual learning history and preferences. This study uses a software engineering approach and experimental evaluation. The dataset is collected from various reference sources of learning and user interaction with the system. The Generative AI model is trained to generate contextual and Indonesian-language content recommendations. The results of the evaluation show that this system is able to increase the effectiveness and satisfaction of students' independent learning. These findings confirm the great potential of generative AI technology in supporting higher education, particularly in supporting personalized learning in local languages.

This study aims to describe the utilization of the surrounding environment (compost) as a learning resource in the subject of science for grade III at MIN 21 Jakarta TimurDistrict. The researcher used a qualitative method with a descriptive approach. The researcher collected data through observation, interviews and documentation related to the utilization of organic waste as a learning resource or learning media conducted with grade III teachers at MIN 21 Jakarta TimurDistrict. The results of the study showed that the utilization of the surrounding environment (compost) namely the use of compost as a learning resource can improve students' process skills in science subjects. Through the utilization of compost, students are more active in learning outdoors because it is more fun, students can also see directly what is being learned if they use real sources that are in the school environment. It is important to remember that students' learning preferences and levels of understanding can vary. Some students may be more responsive to this learning method, while others may need a different learning approach. Here are some recommendations for the utilization of the surrounding environment (compost) as a learning resource in science subjects, namely about the benefits of compost and experiments in making compost.

This study examines the role of perception in individual and organizational decision-making through a Systematic Literature Review (SLR) and content analysis approach. Perception is understood as an internal process that shapes understanding of objects, influencing preferences and decisions. Contextual factors such as culture, socio-economics, and technology also contribute to shaping perception. This study adopts a theoretical framework in which perception mediates the relationship between external attributes—such as price, quality, and brand image—and final decisions. By analyzing 993 scholarly articles from 2021 to 2025, this research maps perception models in consumer and organizational domains and identifies research gaps related to the integration of digital factors such as algorithms and AI. The validation process was conducted through triangulation between AI-generated prompts and human-based thematic analysis. The results highlight the need for perception models to adapt to digital dynamics and emphasize the importance of ethical integration in modern decision-making systems.  

This study aims to examine how the construction of sexuality is represented and perceived through Instagram social media. As a dominant visual platform, Instagram plays an important role in shaping body image, gender, and intimate relationships that are often influenced by popular culture, media algorithms, and prevailing social norms. Using a qualitative approach and in-depth interview method with six informants, this study found that the representation of sexuality on Instagram generally reflects ideal body standards, which can cause social and psychological pressures, such as body anxiety, insecurity, and objectification. On the other hand, some users also see Instagram as a space for self-expression, empowerment, and education, especially for those who have a critical awareness of the social construction behind the content. Perceptions of ideal sexuality also vary widely, depending on the cultural background, personal experiences, and visual preferences of each user. These findings emphasize the importance of media literacy and critical reflection so that social media can become a healthier, fairer, and gender-inclusive digital space.

This study aims to analyze the influence of social media on consumer behavior in online purchases among Generation Z, focusing on the Shopee e-commerce platform. Generation Z, which is the age group born between 1997 and 2012, is known to be an active social media user, which influences their purchasing decisions. Through a survey conducted on Shopee users from Generation Z, this study identified factors that influence consumer behavior, including the influence of advertising, product reviews, and interactions with influencers on social media. The results of the study show that social media plays a significant role in shaping the preferences and purchasing decisions of Generation Z. Interesting advertisements and positive reviews from other users on social media can increase purchasing interest, while interactions with influencers can provide additional trust in the products offered. This study provides important insights for marketers to design effective and relevant marketing strategies with Generation Z consumer behavior in the digital era.

Sea turtles play an essential role in marine ecosystems but are increasingly threatened by human activities. Promoting conservation awareness from an early age through engaging educational tools is crucial. This study presents the development of an educational board game titled “Jejak Karapas: Little Ocean Heroes”, designed to teach children aged 10–13 about sea turtle conservation in Indonesia. The game’s character designs were informed by scientific research and adapted to suit children's aesthetic preferences. Validation results indicated that expressive and imaginative characters resonated most with players. The game serves as a creative medium to encourage environmental responsibility in a fun and approachable format for young audiences.  

The declining awareness among youth about local historical figures such as Raden Sawunggaling inspired the creation of this web comic. Aimed at teenagers aged 17–21, this project seeks to reintroduce local history through a visually engaging and interactive medium. The comic features a flowing narrative, semi-realistic illustrations, and strong elements of East Javanese culture. Its design was informed by qualitative and quantitative research to align with the preferences of the target audience. The web comic format was chosen for its accessibility, cost-efficiency, and relevance to the digital habits of today’s youth. This medium is expected to reignite interest in local history while serving as a creative and educational approach to cultural preservation.

The packaging design of the Petualangan Tradisional Rasa board game aims to create an educational medium that attracts the interest of young people aged 19–22 toward traditional Indonesian cuisine. This game is designed to address the declining interest among the younger generation in local culinary heritage due to the dominance of modern food culture. The design process employed a combination of qualitative and quantitative methods. The qualitative method involved observation and interviews with Board Game Academy and Table Toys to gather insights on effective board game packaging, while the quantitative method was carried out through questionnaires distributed to the target audience to assess packaging design preferences.