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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.

Organizational performance includes various indicators such as productivity, work quality, efficiency, and innovation. Challenges often arise in the performance evaluation process when not supported by an adequate system. Additionally, facilitators play a crucial role in achieving goals, but poor selection of facilitators can lead to problems like lack of participation, poor time management, and inability to resolve conflicts, negatively impacting productivity and decision quality. This study aims to develop a support system that improves performance evaluation and facilitator roles at BBPPMPV-BBL Medan. The system is expected to simplify performance evaluation, enhance resource management effectiveness, and assist facilitators in carrying out their tasks optimally. The research findings indicate that this support system provides more accurate, structured, and effective performance evaluation, while enhancing facilitators' ability to maintain focus, manage time, and resolve conflicts. Implementing this system at BBPPMPV-BBL Medan contributes to increased productivity, efficiency, and performance quality, and enables proper recognition of high-performing individuals or teams.

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.

According to RISKESDAS 2018 data, the prevalence of undernutrition and obesity among adolescents in West Java is concerning. The prevalence of undernutrition and obesity at Pondok Pesantren Muara Bantarkalong in Tasikmalaya Regency is also notably high. This issue is related to imbalanced eating habits and a lack of nutritional understanding among students and food handlers. The situation is exacerbated by students' preference for unhealthy snacks from outside the pesantren over the provided meals. This initiative aims to empower through the Healthy and Nutritious School Program, focusing on increasing nutritional knowledge among students at the pesantren. The results of this study indicate a significant improvement in nutritional knowledge, with the average score increasing from 6.7 in the pre-test to 8.025 in the post-test. Thus, it can be concluded that there is a notable difference in students' knowledge before and after the educational intervention.

In this study, a website and UI/UX design ordering service system was developed. This system offers clients to make orders through a website that can make it easier for people to find service experts in the field of website and UI/UX design. The development of this system was carried out using the Extreme Programming (XP) method, this method is a software development that emphasizes flexibility, communication, and adaptability to changing requirements. Researchers will use short iterations to create, build, and test websites and UI/UX designs. To ensure a thorough understanding of client requests and preferences, developers and customers will communicate more frequently. The testing method on the system used in this study is User Acceptance Testing, which is a testing stage where the system or software is evaluated to ensure that the system meets user needs and requirements. Users perform this test to ensure that the system functions properly and meets their expectations. The results of this study, system development using the Extreme Programming (XP) method is very helpful for developers because the needs of each user are clearly defined, the use of the User Acceptance Testing method shows that each function of the application system operates according to user needs. Thus, the use of the Extreme Programming method can improve the system development.

In this modern era, people have various activities and to fulfill these activities, people need transportation as a supporting tool/assistant tool in carrying out their activities. Therefore, transportation service entrepreneurs are competing to attract the interest of their consumers by improving services, ease of ordering, fleet comfort, punctuality and so on. In Indonesia, there are many types of transportation that also function as public transportation, namely transporting people/goods and collecting agreed fees. The general public is currently familiar with two types of transportation, namely application-based online transportation and conventional transportation. Where application-based online transportation is the transfer of goods and people from place of origin to destination. The current flow of technological developments is something that must be understood and whether we like it or not, we must keep up with the flow of technological developments, so that the emergence of application-based online transportation is a transportation service that takes advantage of technological developments. Conventional transportation is passenger transportation carried out on a rental basis. Conventional transportation, for example, includes buses, public transportation, taxis, pedicabs and motorbike taxis. In line with current developments, the existence of conventional transportation is gradually being replaced by the choice of more sophisticated modes of transportation with the use of technological advances such as the emergence of application-based online transportation. Apart from being time efficient, online transportation itself can also be used at an affordable cost. However, this is different with conventional types of transportation, not all of which can be reached easily, sometimes you have to wait for a long time to be able to access or use these transportation services. Using Comparative Analysis The use of Comparative Analysis aims to compare the differences in services between two types of online and conventional transportation modes based on the type of transportation mode and the services provided by service providers to users such as the Academic Community located on the Cenderawasih University campus environment. By using Descriptive Statistical Analysis the data that has been collected can be analyzed by calculating the average perception of user respondents regarding service quality preferences for two types of online and conventional transportation modes from the Academic Community in the Cenderawasih University Campus environment.

This study aims to develop flakes made from brown rice and cavendish bananas as instant drink fillings, with the aim of finding out: 1) the results of sensory tests of brown rice flakes and cavendish bananas as instant drink fillings which include color, shape, aroma, taste, texture, and preference level; 2) the nutritional content of brown rice flakes and cavendish bananas which include carbohydrates,  fiber, vitamin B6, and proximate test include water and ash; and 3) the selling price of brown rice flakes and cavendish bananas as an instant drink filling of 25 grams/package. The research method used was experimental, with sensory quality assessment by 5 trained and 25 semi-trained panelists. Data analysis uses Anava Tunggal (one way anava). Nutritional content tests in the form of carbohydrates, fiber, vitamin B6 and proximate tests including water and ash were carried out by laboratory tests. Calculation of the selling price of 25 grams/package using conventional methods. The results of the study show that: 1) the criteria for the best product flakes formula with a ratio of 100:60 produced a reddish-brown color, neat round shape, typical banana aroma, sweet taste, crispy texture and liked by the panelists; 2) the nutritional content per 100 grams of brown rice flakes and cavendish bananas has a total carbohydrate content of 71.06%, fiber 3.11, vitamin B6 2.66, moisture content 0.12% and ash content 0.11%; and 3) the selling price of flakes is known to be Rp.  7,290 per package weighing 25 grams.

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.

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.

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.