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In the modern era, laundry services have become a practical solution for busy people. Sukmajaya Laundry, located in a strategic area in Depok, offers various services such as kilo laundry, bed cover washing, and express washing. However, despite having a wide range of ironing fragrance options, the laundry owner faces difficulties in determining which fragrance is most preferred by customers. This study aims to assist the owner of Sukmajaya Laundry in recommending the most popular ironing fragrance to customers. With this recommendation, it is hoped that new customers will no longer struggle to choose a fragrance that suits their preferences. The research employs the Weighted Product (WP) method, which combines several attributes with weighted criteria to calculate the total value. The alternative with the highest total value will be considered the best solution. This study results in a decision support system that can recommend the most popular ironing fragrance based on previous customer preferences, thereby enhancing customer satisfaction and operational efficiency at Sukmajaya Laundry.

Centella asiatica leaves contain active compounds such as alkaloids, flavonoids, saponins, and tannins, which are secondary metabolites. A sheet mask is a practical cosmetic facial treatment that does not require rinsing and is effective in moisturizing the skin. This study aims to determine the formulation of a sheet mask preparation. The ethanol extract of Centella asiatica leaves meets the physical quality evaluation criteria for the preparation. The experimental formulation method involves creating a sheet mask composed of various components including Centella asiatica leaf extract, glycerin, propylene glycol, xanthan gum, PEG-40 hydrogenated castor oil, nipagin, 96% ethanol, fragrance (Green tea), aquadest, sheet mask base, and foil bag. The research includes the characterization of the raw material, phytochemical screening of the extract, and formulation into sheet masks with concentrations of 2%, 4%, and 6%, followed by moisturizing testing using a skin analyzer. The evaluation of the preparation includes organoleptic tests, homogeneity, physical stability, viscosity, pH value, irritation testing, and hedonic testing. The characterization results show a water content of 3.46%, water-soluble extract content of 31.38%, ethanol-soluble extract content of 11.96%, total ash content of 8.41%, and acid-insoluble ash content of 1.09%. Phytochemical screening results show positive for alkaloids, flavonoids, saponins, tannins, and steroids. The study indicates that the ethanol extract of Centella asiatica can be formulated into a homogeneous and stable sheet mask preparation. The pH of the preparation meets the requirement with a value of 4.5-6.5, which is relatively safe for facial skin. The preparation does not cause irritation, with viscosity testing meeting the requirement of 250-1150 cp. The moisturizing test shows that a 6% Centella asiatica extract concentration provides the best moisturizing effect, and the most preferred formulation is F3 with a preference percentage of 38.12%. The average moisture values are F0 (Blank) 25.64%, F1 (2%) 33.26%, F2 (4%) 39.18%, and F3 (6%) 38.12%. Overall, it can be concluded that Centella asiatica extract can be formulated into a sheet mask with effective moisturizing capability for the facial skin.  

Selection of suppliers is a critical aspect that requires serious attention from every company, as it not only impacts the improvement of the supply chain quality but also affects the quality of the products produced. The current issue faced by PT Ciptaunggul Karya Abadi in the supplier selection process involves conducting direct surveys to several suppliers and comparing prices, which results in delivery delays and subsequent production delays. This situation forces PT Ciptaunggul Karya Abadi to find alternative suppliers unexpectedly. This research employs the Analytical Network Process (ANP) and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) methods in the supplier selection process at PT Ciptaunggul Karya Abadi. The objective of this study is to combine the ANP and TOPSIS methods to enhance the accuracy of decision-making in supplier selection. The results of this research identified four criteria and 12 sub-criteria, and the prioritized ranking of the best suppliers for PT Ciptaunggul Karya Abadi shows that PT Baja Kencana Sakti ranks the highest with a preference value of 0.56693, followed by PT Stilmetindo Prima with a preference value of 0.44565, and PT Fujimaki Steel with a preference value of 0.39298.

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.

Innovation in fish processing, such as Roullade Fish, offers an effective way to increase consumption. Roullade is a dish made by rolling or wrapping minced meat with a filling. Roullade Fish utilizes patin fish due to its thick flesh, minimal bones, and rich nutritional content, including essential amino acids and omega-3 fatty acids. The addition of tempe gembus enhances the texture and nutritional value of the roullade by providing fiber and glutamic acid. Tempe gembus also imparts a distinctive umami flavor. To enrich the nutrition and appearance, the roullade is coated with a pure of daun semanggi, adding natural aroma and color. This combination is expected to yield a high-quality product with a taste preferred by consumers.This study aims to determine the characteristics of making a roulade using striped catfish, tempe gembus, and layered clover leaves in terms of organoleptic properties, nutritional content, and panelist preference. The research method used is experimental, as it aims to identify the effects of using striped catfish, tempe gembus, and clover leaves on the influenced variables.Based on the research results on the preparation of Roullade with patin fish, tempe gembus, and daun semanggi layer, the formulation with 70% patin fish, 30% tempe gembus, and 10% daun semanggi achieved the highest scores in color, shape, texture, aroma, and taste. Its nutritional content includes 16.86% protein, 5.10% fat, 38.90% carbohydrates, 3.60% fiber, and 30.60% water. This formulation provides optimal organoleptic quality and balanced nutritional content.    

Changes in social conditions and lifestyle change people's consumption patterns, so there is a need for innovation in making food by utilizing vegetables to increase nutritional complexity. Stuffed Chicken is a processed product made from the main ingredient of chicken meat with the addition of vegetable puree. These problems became the objectives of this study to determine: 1) Sensory quality results which include shape, color, taste, aroma, texture and level of preference; 2) Nutritional content which includes energy, carbohydrates, protein, fat, fiber, and vitamin A; 3) Selling price of stuffed chicken per 250 gram package. This research used observation method through a sensory quality test with 30 panelists. Data result were processed with a single anova test followed by a Duncan’s test. Nutritional content (energy, carbohydrate, protein, fat, fiber, and vitamin A) was tested in the laboratory. The results showed: 1) the addition of vegetable puree proportion (carrots, sweet corn, and peas) affects the criteria of taste and aroma, while the criteria of shape, color, texture and level of liking have no significant effect. The nutritional content of stuffed chicken is energy of 294.85 kcal, carbohydrates 42.90g, protein 14.96g, fat 7.24g, Fiber 3.23g, and vitamin A 67.10 μg. The selling price of stuffed chicken is known to be Rp.36,500 per package weighing 250 grams.

This study aims to find the highest value of criteria, sub-criteria and alternatives in prioritizing K3 strategies at PLN NP UP Muara Tawar to ensure and protect the workforce. Using the 5M approach (Money, Man, Machine, Methods and Milieu), 21 sub-criteria and 5 alternatives in order to prevent, overcome and minimize the occurrence of work accidents and their impacts by identifying, analyzing and controlling appropriately to improve K3 in the workplace. The Simple Additive Weighting (SAW) mixed method is used to calculate criteria and sub-criteria and Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) calculates alternatives. The results of the analysis show that the highest criterion is man (M) with a score of 0.2113 and the highest sub-criteria are K3 Infrastructure Investment (MO1) and Fire Protection System Infrastructure Investment (MO2) with a score of 0.29577. The highest alternative is with a score of 0.7900 on maintenance of equipment and facilities (A2).    

Decision Support System (SPK) can be used to select the best college in this journal, the author uses the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method which is expected to be a solution for consideration for prospective new students who want to pursue higher education. From the calculation results, it is found that the highest result value from the calculation formula can be used to be the best choice in choosing a college for prospective students. With confusion matrix accuracy reaching 90%.  

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.    

This study develops a Decision Support System (DSS) for selecting outstanding students at SDN Kedunglumbu using the Simple Additive Weighting (SAW) method. The main goal of this DSS is to help the school determine outstanding students more objectively and efficiently. The SAW method was chosen for its ability to provide weighted sums of relevant criteria, ensuring accurate and fair decisions. The system development follows a waterfall approach, with structured stages from planning to implementation. The evaluation criteria include PPKN, Indonesian Language, Science, Social Studies, and Mathematics, with seven students as the evaluated alternatives. The implementation of the DSS successfully displays information about outstanding students clearly, with Natasha Cahya Putri Ayu selected as the outstanding student with the highest preference score of 0.786. System testing using the blackbox testing method confirms that the system operates as expected, and calculations using the SAW method are consistent with manual calculations. Overall, the developed DSS successfully facilitates the selection process of outstanding students efficiently and objectively, while the SAW method proves effective in providing reliable results and supporting better decision-making in the educational environment.      

This article discusses the development of a decision support system (DSS) for selecting the best tourist attractions in Surakarta City using the Simple Additive Weighting (SAW) method. The background of the research is the importance of choosing the right tourist attractions to enhance visitor satisfaction and support regional development. The SAW method was chosen for its ability to provide structured assessments based on multiple criteria. This study uses an Agile approach in system development, involving planning, analysis, design, implementation, and testing stages. The results show that the developed decision support system can effectively manage the criteria and alternatives for tourist attractions. The calculations using the SAW method indicate that Sheikh Zayed Mosque has the highest preference value, making it the best tourist attraction according to this system. Testing shows that the system functions as expected, with consistent calculation results between manual and automated methods.  

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.