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Cooperative loans are financial facilities provided by cooperatives to their members to meet funding needs with predetermined terms and conditions. The process includes submission, assessment and disbursement of funds according to members' needs and abilities. This loan generally has a certain interest and repayment period. The aim of the research is to determine the provision of loans in a decision support system using a combination of AHP and SAW methods. The AHP method is an analytical technique for selecting the best alternative in complex decision making, by weighing preferences and criteria, while SAW is a calculation approach that takes into account relative weights for evaluating alternatives in a decision support system. The final result of combining the AHP and SAW methods is to obtain a ranking of the names of cooperative members who are entitled to receive loans, ranging from the best 10 people out of 50 people in each region in Jakarta.

This research aims to apply the K-Means Clustering method in grouping consumer interests regarding the use of services at the Binjai Post Office. The Post Office is part of a state-owned enterprise in North Sumatra Province with the main task of providing postal and logistics services. Postal services remain one of the most important means of communication, especially for sending packages, letters, and documents. However, with various services and diverse consumer needs, post offices can provide more effective and relevant services. The K-Means Clustering method is a classification technique based on machine learning algorithms used to identify patterns present in consumer interest data. The data used in this research includes various related variables, namely the type of delivery, total cost, and delivery time. The results of the clustering process conducted using 3 clusters indicate that there is a grouping of consumer data based on preferences for using delivery services. In group 1, there are (21 data points) with a centroid at coordinates (C1) 2; 4.3810; 3.5238. In group 2, there are (124 data points) with a centroid at coordinates (C2) 3; 2.0565; 3.1452. In group 3, there are (387 data points) with a centroid at coordinates (C3) 3.6925; 1.1370; 1.7209. This research shows that the application of K-Means Clustering can enhance the understanding of consumer interests and assist in the development of more targeted strategies to optimally meet needs.

This research aims to develop innovations in the manufacture of cookies with the addition of sorghum flour and mung bean flour (Vigna radiata) as the main ingredients. Sorghum flour was chosen because it has a high fiber content, is gluten-free, and rich in antioxidants. Mung bean flour was chosen because it is rich in vegetable protein, fiber, vitamins, and minerals that are important for health. The main objective of this study was to evaluate the effect of adding both types of flour on the physicochemical characteristics, texture, taste, and color of cookies. The research method involved the formulation of various proportions of sorghum flour and mung bean flour, as well as organoleptic tests to assess consumer preferences. Tests were conducted using chemical analysis to determine nutrient content as well as sensory tests to assess texture, taste, and color attributes. The results showed that the addition of sorghum flour and mung bean flour can increase the nutritional content of cookies, especially in terms of fiber and protein.In addition, the combination of these two flours provides a crispier texture and distinctive flavor, which is different from conventional cookies. Overall, this innovation offers a healthier alternative for consumers without compromising the sensory quality of the cookies. The use of sorghum flour and mung bean flour in making cookies not only increases the nutritional value but also fulfills the market need for healthier food products. These findings make an important contribution to the development of functional food products that can be accepted by various groups of people.

This research aims to determine whether the variables of brand credibility, islamic advertising, and consumer preferences have an effect on the purchasing interest of Raudhah Scarf Kudus consumers, both partially and simultaneously. This research is a field study with a quantitative approach. The population used is the community of Kudus City. The sample size taken is 100 respondents. The results of the data analysis indicate that: 1) brand credibility does not affect consumer purchase interest, as shown by the t value of 0.258 < t table 1.98498. 2) islamic advertising has an effect on consumer purchase interest with a t value of 2.429 > t table 1.98498. 3) consumer preference influences consumer purchase interest with a t value of 5.820 > t table 1.98498. 4) brand credibility, islamic advertising, and consumer preference collectively influence consumer purchase interest with an f value of 69.443 > 2.70. The result of the adjusted R square is 0.675 or 67.5%. It can be concluded that the purchasing interest of Raudhah Scarf Kudus consumers is influenced by brand credibility, islamic advertising, and consumer preferences by 67.5%. Therefore, there are still 32.5% of other variables that can affect consumer purchasing interest.

Seeing a frightening image or hearing a voice as a result of hallucinations often causes a person to be disturbed, which has an impact on the individual's ability in the work environment, relationships with partners, and fulfilling daily life needs. One intervention used for people with audio-visual hallucinations is music therapy. Music therapy is carried out by the nurse on duty in the room for ± 20 minutes with music requested by the client (which tends to be music that is liked). At the beginning and end of the study, an assessment of audio-visual hallucinations was carried out with the Washington Early Recognition Center Affectivity and Psychosis (WERCAP) Screen. Significant change from audio-visual hallucinations with initial WERCAP score 78 to 28 (score > 30: high risk of psychotic disorders). It is proven that Electronic Dance Music (EDM) and selawat will tend to get clients' attention. In effect, hallucinations: audio-visual, anxiety, non-aggressive behaviour, eating habits and indiscriminate defecation will eventually decrease over time. Further research is needed regarding the categories of music that people like, remembering that each person has their music preferences. This can strengthen the findings in this case report study or provide new contradictory evidence.

The Sangihe-Talaud region hosts several taro varieties whose nutritional compositions in raw, steamed, and fried states remain unknown. This study examined these varieties, their processing methods, and their impact on taro’s nutritional components, encompassing energy, protein, fat, carbohydrates, dietary fiber, ash, calcium, phosphorus, iron, vitamin C, moisture content, and sensory preferences. The investigation encompassed Macape Marramu, Macape Darrana, and Allae Mawira taro types subjected to raw, steamed, and fried treatments. In this study, the researchers employed a complete randomized design with two factors and four replications. The findings revealed diverse effects of treatments and their interactions on taro’s nutritional profile. Treatment A₁B₂ yielded the highest energy content at 116.6. The maximum protein content was observed in treatment A₂B₂. Treatment A₃B₂ exhibited the highest fat content at 6.87, whereas A₁B₁, while not significantly different from A₂B₁ and A₃B₁, showed lower fat content. Treatment A₂B₂ registered the highest carbohydrate content at 89.27. Treatment A₁B₂ resulted in the highest dietary fiber at 4.28. The lowest ash content was in treatment A₁B₁, while the highest was observed in treatment A₃B₂ at 1.07. Treatment A₃B₂ recorded the highest calcium at 125%. The maximum phosphorus content was noted in treatment A₃B₂, whereas the minimum was in A₂B₀. Treatment A₃B₂ exhibited the highest iron content. The richest vitamin C content emerged in treatment A₂B₂ at 15.79. The lowest moisture content was observed in treatment A₁B₂, which was not significantly different from A₂B₂ (Macape Darrana; fried). Meanwhile, the highest moisture content was observed in treatment A₂B₀.

This study uses experimental methods that aim to determine the interaction, proportion, addition, level of preference, and nutritional content in Pempek lenjer milkfish (Chanos chanos), and cowpea Puree with the addition of Oyster Mushrooms. covering organoleptic properties (shape, color, texture, aroma, and taste) in this type of research is experimental. Data collection techniques using observation methods. The independent variable of this study is the proportion of milkfish and cowpea puree (80%:20%, 70%:30%, and 60%:40%) as well as the addition of oyster mushrooms (20% and 10%). The dependent variable of the study was organoleptic sifaft. Control variables of this study include the type of material, equipment, and processing techniques. the best proportion of organoleptics was obtained from the treatment of 143 with very suitable characteristics. all criteria for assessing the best results in the assessment of preferences are found in treatment 143. The results of laboratory analysis of nutrient content of pempek lenjer 80%: 20%, 30% carbohydrate content of 44.65%, fat content of 3.40%, protein content of 11.05%, fiber content of 2.61%, ash content of 0.14%, and water content of 37.85%.

Technological advancements in the era of globalization demand improvements in the quality of academic services and educational facilities in institutions. STMIK Kaputama is committed to creating a conducive academic environment by providing optimal facilities. This study aims to determine student satisfaction with campus facilities using the K-Means Clustering method. Data were obtained from recapitulated survey reports and questionnaires filled out by students in 2024. The K-Means Clustering method was chosen for its ability to group students based on their similar preferences for campus facilities. The results show that, in general, students are fairly satisfied, though their preferences for specific facilities vary. These findings can be used to make recommendations for the improvement and development of campus facilities, help STMIK Kaputama allocate resources more efficiently, and plan strategies to enhance the quality of facilities to meet student expectations.

The advancement of information technology and globalization has transformed shopping behaviors, with social media becoming the primary platform for online shopping. This study aims to analyze the online shopping preferences of residents in Binjai City through social media using clustering methods, specifically the K-Means algorithm. Data were collected via a questionnaire targeting 523 respondents in Binjai City, focusing on variables such as gender, age, and the social media platforms used. Clustering methods are employed to group online shopping data into representative clusters, helping identify community preferences for specific social media platforms for shopping. Matlab is used to process the data and generate relevant insights into online shopping patterns, facilitating decision-making regarding the selection of the most suitable social media platform for transactions.The findings of this study are expected to provide valuable insights for both sellers and buyers in determining the most effective social media platforms for online shopping. Additionally, the results will be useful for residents of Binjai City to understand and choose the social media platforms that best meet their online shopping needs.      

PT.X is a business located in Banyuwangi district, East Java. PT.X is engaged in manufacturing which produces mineral water. PT.X Banyuwangi's work procedures have implemented K3 in its work processes. The Lockout/Tagout (LOTO) locking and marking system has been implemented, but unsafe behavior is still found by workers when carrying out work processes using the Lockout/Tagout (LOTO) system, such as not using PPE during machine repair/maintenance processes, and not installing tags. . . during repairs. This research aims to analyze the level of K3 knowledge about Lockout/Tagout regarding unsafe actions in implementing Lockout/Tagout among workers at PT. In general, this research is a type of quantitative research. The aim of using the crosstab method is to identify data patterns, such as the distribution of variable preferences based on the level of knowledge in carrying out actions. The results of the analysis were that 3 respondents in the good knowledge category carried out unsafe actions in the high category representing 37.5% of the total respondents, 5 respondents in the good knowledge category carried out unsafe actions in the low category representing 62.5% of the total respondents. total respondents. Then for the poor knowledge level category, there were 13 respondents who carried out unsafe actions in the high category, representing 56.5% of the total respondents, and 10 respondents who had poor knowledge levels carried out unsafe actions in the low category. representing 43.5% of the total respondents.

This research aims to design a website-based online store by utilizing a recommendation system with content-based filtering. The recommendation system is useful to help buyers get product suggestions that are in accordance with their preferences. The development method used in this research is the Waterfall model with the stages of needs analysis, design, program code generation, and testing. Researchers also use the UML model to help design the system and use the Laravel framework for website development. Based on the results of this study, the online store system designed has benefits for customers, because they can shop anywhere without having to come to the store directly. The recommendation system used also helps customers in choosing perfumes that match their preferences. 

This study aims to explore the influence of biological factors, specifically DNA, on men's decisions regarding celibacy, monogamy, and polygamy. In this context, sexual and relationship decisions may be influenced by various genetic factors underlying individual behaviors and preferences. By analyzing genetic data from male samples who choose celibacy, monogamy, or polygamy, and collecting information about their social and psychological backgrounds, this research identifies genetic patterns that may be associated with tendencies toward one of these three options. Initial findings suggest that certain genetic variations may be related to relationship preferences and sexual behavior. This study provides new insights into how genetic factors can affect decisions related to relationship structures, with significant implications for further research on the interaction between biology and social behavior. The results of this research are expected to open up further dialogue regarding the role of genetics in determining human relationship dynamics.

Item-based collaborative filtering is a popular technique in recommendation systems that aims to provide suggestions for films to watch or services to users based on similarities between items. In this approach, the similarity between items is calculated using metrics such as cosine similarity, allowing the prediction of user preferences for items that have never been rated. This research implements Item-based collaborative filtering using datasets from Kaggle. Experimental results show that the resulting model is able to provide recommendations with significant improvements in evaluation metrics such as Mean Absolute Error (MAE) and Root Mean Square Error (RMSE) of 3.05 and 3.26. This shows that the smaller the value, the better.

The main aim of this research is to dissect the influence of social media use on election preferences among Generation Z. By identifying patterns of interaction and exposure to political information through digital platforms, this research provides a sharper understanding of the role of social media in Generation Z. Z's political preferences in the environment. election in 2024. Therefore, it is hoped that this research will provide useful insights for politicians in designing effective and applicable political strategies to reach and understand Generation Z.    

In order to have strong competitiveness in an environment that continues to move dynamically, a business entity such as NAV Karaoke needs to think about a superior service package that has high competitiveness and is a favorite service that consumers want. In creating a NAV karaoke service or product package, it is necessary to think about a design that truly reflects the consumer's desires for karaoke entertainment products. Starting from the need to create a karaoke service design sourced from consumers, the researcher intends to empirically study what product or service items are like regarding the quality of service provided by PT. NAV Karaoke Family Biliton Surabaya, from this research it is hoped that it will be possible to find out how the public perceives existing services and how to improve them. Consumer preferences can literally be interpreted as the behavior shown by consumers in searching for, selecting, buying, using, evaluating the quality of business products and services that can satisfy their needs (based on a value system / experience / customer value). Consumer preferences for the attributes of a product are the level of suitability of the attributes of the product or service with consumer needs. The main factor necessary to know and understand value is to be truly aware of the needs of individual consumers and the market segments in which they are concerned. Service design is the value contained in a service and in the form of a service appearance that is distinctive and attractive and differentiates it from competing services, where service design can produce its own allure that attracts consumers' buying interest.

Choosing a university is a critical decision for prospective students, impacting their future education and career trajectory. To aid in this decision-making process, a Decision Support System (DSS) can assist students in selecting a university that aligns with their specific criteria and preferences. This study developed a decision support system using the Analytical Hierarchy Process (AHP) method for university selection in Surakarta. The AHP method was selected for its capability to handle multi-criteria problems by systematically comparing each criterion pair and evaluating their relative importance. The criteria considered in this research encompass academic excellence, facilities, location, expenses, and reputation. This system aims to offer more objective and precise recommendations to prospective students seeking universities in Surakarta.  

In today's fast-paced, information-driven world, productivity is paramount for personal and professional success. Effective reading, a crucial cognitive process, significantly impacts knowledge acquisition, critical thinking, and innovation. This research offers an extensive examination of optimizing reading spaces to boost productivity. The study investigates the intricate relationship between reading environments and cognitive performance, considering factors like lighting, ergonomics, acoustics, spatial layout, and technology integration. These elements profoundly influence reader engagement, information retention, and cognitive load. Moreover, the study delves into environmental psychology's role in shaping concentration, creativity, and comfort within reading spaces. It analyzes the psychological effects of design elements like color, nature, and organization on cognitive processes. Understanding these responses empowers designers and individuals to tailor spaces for better focus and well-being. The integration of technology within reading spaces is explored, assessing digital platforms, interactive displays, and personalized content curation's benefits for efficient information consumption. It addresses challenges in balancing printed materials and digital resources. Additionally, the study considers personalized reading spaces' impact on diverse demographic groups, accounting for age, cognitive abilities, and preferences in design and customization. It emphasizes adaptable spaces catering to various needs and learning styles. This research offers a comprehensive view of reading spaces and productivity enhancement. By examining design elements, psychological factors, and technological integration, it provides insights for creating spaces that empower individuals to engage effectively with information, think critically, and achieve higher productivity in academic and professional endeavors.

This research aims to analyze marketing strategies and factors that influence the success of SMEs in the martabak business in the Sukatani area, Bekasi Regency, which coincides in Sukadarma Village, Kampung Serengseng Jaya. MSMEs play an important role in the local economy, but often face challenges in competing with larger businesses. To identify effective strategies, we conducted a qualitative study using in-depth interviews with Martabak MSME owners and used SWOT analysis to identify strengths, weaknesses, opportunities and threats faced. The research results show that the use of social media as a marketing tool, product innovation and service quality are the main factors that contribute to the success of martabak MSMEs. Additionally, partnerships with local suppliers and a deep understanding of consumer preferences have also proven important. The challenges faced include intense competition, fluctuations in raw material prices, and limited capital. Thus, this research provides insight into the best practices that can be implemented by martabak MSMEs to increase the competitiveness and sustainability of their businesses. The proposed strategic recommendations include increasing digital skills, product diversification, and developing customer loyalty programs

Marketing plays a crucial role in the development of beef cattle farming businesses in Indonesia. An effective marketing strategy is the key to ensuring good product acceptance and satisfying consumers. The objectives of this research are: (1) understanding consumer needs and preferences; (2) identifying effective marketing strategies; and (3) using resources more efficiently. In this research, the literature study method is used as the main approach, by analyzing various relevant sources to collect the necessary information. The results of the literature review reveal important findings regarding beef cattle marketing strategies. Market segmentation is an important first step in meeting the needs and desires of the target market segment. After segmentation, determining the target market is the next step to ensure resources can be optimized and marketing strategies can achieve the set goals. Determining product positioning through positioning is the key to differentiating products from competitors by building uniqueness and added value. Overall, marketing plays a central role in maintaining the success and growth of beef cattle farming businesses. By implementing the right marketing strategy, companies can increase product acceptance, satisfy consumers, and strengthen their position in the market. In identifying beef cattle marketing, there are two opportunities that will be presented, including: (1) getting new ideas for marketing, and (2) understanding competitors' strategies to increase the market.  

In the era of rapid digitalization, understanding consumer behavior through data is becoming increasingly important for retail businesses. Shopping trends, such as those contained in this study, provide in-depth insights into various aspects of consumer behavior, from demographics to purchasing preferences and patterns of discount usage. This data is invaluable in formulating effective marketing strategies, improving customer experience, and optimizing business operations. The data used in this study included a variety of relevant variables, such as age, gender, location, product categories purchased, number of purchases, payment methods, and frequency of purchases. This information allows for a comprehensive analysis of how these factors affect consumer spending decisions. For example, analytics can reveal seasonal trends in purchases, product color and size preferences, and the impact of discounts and promo codes on sales volume. In addition, this dataset also reflects the changes in consumer behavior that have occurred over the past few years. Quantitative methodology is a research approach used to collect and analyze numerical data to understand patterns, relationships, and events in a given population. Data is collected from various sources such as online sales transactions, consumer surveys, Naive Bayesian algorithms are applied to the dataset that has been processed. The data was divided into two sets: training (80%) and testing (20%).