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Nowadays, advances in information and communication technology have had a major impact on various sectors of life, including in the field of trade and e-commerce. However, as it happens in the scope of social media, TikTok Shop is also dealing with challenges and changes. One of the issues that is sticking out and is currently hot is the permanent closure of the TikTok Shop feature that has occurred in Indonesia. This research will carry out several processes starting with data collection, then data labeling, data preprocessing, data sharing, weighting training data, using the Naive Bayes method, and ending with testing. In this study, the results of the implementation that has been made or built are discussed. The method used is the Naive Bayes Classifier Method to classify training data as much as 800 data, which is 80% of the total data. Then, testing is carried out using 200 testing data, which is 20% of the total data. The evaluation results show an accuracy value of 73%. In addition to the accuracy value, this research also recorded the precision, recall, and F1 score values. The classification that appears most often and contributes the highest in these values is the Positive classification as much as 420 data or 42% of the total data used..    

This research aims to analyze the breakfast habits of teenagers at SMK Negeri 3 Bogor. The impact of skipping breakfast is that it causes weight gain, increasing the risk of disease. The recommended breakfast time is 7 or 8 in the morning because they have enough time for breakfast. According to most students, breakfast is a healthy lifestyle and affects their concentration and enthusiasm for studying at school and so that students have a strong immune system. The data collection technique in this research is by distributing a questionnaire which is distributed via the Google Form application which contains 16 statements that have passed validation tests and reliability tests. Other data collection was carried out by reading literature books, the internet, and articles related to the problem topic. The number of respondents in this study was 188 people, 46 men with a percentage of 24.5% and 142 women with a percentage of 75.5%. The indicators contained in the questionnaire include the benefits of breakfast, the impact of breakfast, the time of breakfast, the variety of breakfast, the type of breakfast consumed, and the amount of breakfast. Based on the results of this research, it can be concluded that many factors influence the breakfast habits of teenagers at SMK Negeri 3 Bogor.

Soil compaction is required to extend firmness, volume weight and diminish soil porousness at the extend area where adaptable asphalt framework will be built. The point of this inquire about is to decide the impact of soil thickness on street development utilizing the sandcone strategy and to decide the comparison of field compaction testing (Sand Cone) with research facility compaction testing (Compaction Testing) on the development of the Takkalasi-Bainange Lawo area of the Soppeng Rule street. This research was carried out within the Respectful Designing research facility of the Muhammadiyah College of Parepare for 4 months from Eminent to December 2023 utilizing the Sandcone test strategy compared to the compaction strategy. The comes about of the investigation of sandcone testing on soil thickness during the development of Jalan ruas takkalasi-bainange lawo within the locale soppeng, appeared that the thickness of dry soil within the gap was an normal of 2.368 gr/cc. and the comes about of the comparison of Field Compaction Testing (Sand Cone) with Research facility Testing (Compaction Testing) appeared that the most elevated degree of thickness was at STA 2 + 600 at 104.94 and the least degree of thickness was at STA 2 + 300 with a esteem of 101.24 and in case found the middle value of the thickness degree esteem is 101.383%. From the comes about gotten, it meets the Binamarga details, specifically a least of 90%, so the compaction on the development of the Takkalasi - Bainange Disoppeng street is classified as exceptionally compelling since it has met the least details    

This research aims to analyse students' mathematical problem solving ability on length and weight measurement material in class III at SD Negeri Langgenharjo 01. This type of research is a qualitative descriptive research. The data source of this research comes from the answers to the mathematical problem solving ability description test and interviews. This study used 3 subjects from 30 grade III students who were taken using purposive techniques according to the category of mathematical problem solving ability, consisting of high, medium, and low categories. Data collection techniques used observation, interviews, and documentation. The data analysis technique used in this study used the Miles and Huberman model, namely, data collection, data reduction, data presentation, and conclusion drawing. Based on the results of research on mathematical solving ability according to Polya's level, namely, (1) Students in the high category are able to fulfil all four indicators of problem solving according to Polya's stages. (2) Students in the medium category can solve problems well, but are often less careful and often hasty. They can only fulfil 2 of the 4 problem solving indicators. (3) Students in the low category have not been able to solve the problem well. They were unable to fulfil all indicators of problem solving ability according to Polya's stages. The conclusion of this study is that students have various potentials in mathematical problem solving ranging from high, medium, and low categories.

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 study aims to apply the K-Nearest Neighbors (KNN) algorithm to predict stunting status in young children based on height and weight data. Stunting is a growth failure condition caused by chronic malnutrition that negatively impacts children's physical and mental development. The dataset includes height, weight, and stunting status of children. The results show that the KNN model with k=3 achieved 100% accuracy on the test data. Evaluation using the confusion matrix and classification report indicates perfect precision, recall, and F1-score for each class. Data normalization with StandardScaler improved the model's performance by ensuring all features are on the same scale. The KNN algorithm proves to be a simple yet effective method for predicting stunting, demonstrating significant potential for early detection and health intervention in children. This study recommends using a larger and more diverse dataset, as well as incorporating additional relevant features to enhance model accuracy. Implementing the model in a web or mobile application is also suggested to assist healthcare professionals in the field.

This study evaluates the impact of varying clutch housing weights and centrifugal spring constants on the acceleration of automatic motorcycles with Continuously Variable Transmission (CVT). The research employed an experimental method using a Dynotest acceleration testing tool. Tests were conducted with three clutch housing weights (816 grams, 800 grams, 771 grams) and three spring constants (39.2 N/mm, 29.4 N/mm, 21.38 N/mm). Results indicated that the combination of a 771-gram clutch housing and a 21.38 N/mm spring produced the highest acceleration, reaching 13.16 m/s² at speeds of 0-5 m/s. Conversely, the combination of an 800-gram clutch housing and a 29.4 N/mm spring showed the lowest acceleration at 11.36 m/s². The appropriate combination of clutch housing weight and spring constant is crucial for achieving optimal acceleration, as the balance of centrifugal force and inertia moment affects the efficiency of power transfer from the engine to the wheels. This study recommends adjusting the spring constant when changing the clutch housing weight to achieve maximum acceleration.  

This growth and development takes place simultaneously, although both do not occur simultaneously within an individual, let alone between individuals. For example, there are babies who can walk at the age of 11 months, but there are also babies who can only walk after they are 24 months old. There are even identical twins who are born with different weights and heights.  

Snack bars are bar-shaped products that contain carbohydrates and proteins from flour, nuts, dried fruits, and other ingredients that are processed into whole pieces and combined into one ready for consumption. Snack bar innovation with the proportion of grated coconut and tuna pindang. The purpose of this research is to meet the nutritional needs of the community by fulfilling daily protein and can be an entrepreneurial product so that it is necessary to know the organoleptic quality, nutritional content and selling price of the product. The methodology in the research is an experimental approach with quantitative analysis to fulfill the sensory quality and nutritional content of snack bars. The best proportion of snack bars with different proportions of grated coconut and pindang ikan tongkol from the sensory test was obtained from the 50:50 ratio with characteristics of rectangular shape; yellowish brown color with white spots from rengginang; grated coconut and pindang ikan tongkol aroma; crunchy texture; and taste of grated coconut and pindang ikan tongkol. Laboratory analysis of the nutritional content of the best snack bar per 100 grams contained 17.15% protein, 11.55% water content, 1.05% ash, 3.14% fat, 284.10kcal/100g energy, 64.72% carbohydrate, and 2.42% crude fiber. The selling price of snack bars with the proportion of grated coconut and tuna pindang with a percs weight of 15 grams is known to be IDR 3,000.  

The development of smartphone technology is becoming faster and more diverse, so consumers are often faced with problems in choosing smartphones that fit their needs and budgets. Decision Support System (DPS) can help consumers make the right decisions. The purpose of this research is to design the best smartphone decision support system using the Simple Additive Weighting (SAW) method. The SAW method is used to calculate the weight of smartphone attributes such as Price, Internal Memory, Smartphone Processing Performance and Speed, Camera Quality, Battery Capacity so that it can provide a solution to consumers in choosing smartphones according to their wishes and needs.    

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.  

Increased coffee intake and sleep quality can affect the body so that it can have side effects on changes in nutritional status. The purpose of this study was to analyze the relationship between coffee consumption and sleep quality with nutritional status in Civil Engineering students at UNESA. This research design is using cross sectional. Data collection using questionnaires and anthropometric measurements of height and weight. The subjects in this study amounted to 62 people. Analysis of the relationship between coffee consumption variables and sleep quality with nutritional status using Spearman Rank test analysis. The results showed that there were 5 (9,09%) underweight students, 35 (63,6%) normal nutritional status, and 15 (27.2%) overweight students. Coffee consumption habits are classified as low as 9 people (16.3%), moderate as many as 44 people (80%), and high as many as 2 people (3.6%). Sleep quality was in the bad category as many as 43 people (78,1%) and in the good category as many as 12 people (21,8%). This study shows that the relationship between coffee consumption and nutritional status (p=0.179) and the relationship between sleep quality and nutritional status (p=0.949). Consuming a good amount of coffee and quality sleep will not affect nutritional status. Other factors that influence nutritional status are physical activity and food intake. The conclusion of this research is that there is no relationship between coffee consumption and nutritional status or sleep quality and nutritional status in UNESA Final Year Civil Engineering students. It is recommended that data be heterogeneous so that it can be more varied and not homogeneous.  

Forecasting demand for screen-printed clothing products at the UMKM "D'mitz Screen Printing" in Sobrah Village, Wungu District, Madiun Regency helps with production control planning to maximize supply chain management for screen-printed clothing products. To predict future product demand, it is very important for UMKM to forecast market demand. Forecasting future demand is very important to avoid sales prediction errors that can cause waste, such as increased production costs due to sales predictions being too large, or stock outs due to sales predictions being too small, which results in customers having to wait longer to get the goods they want. Based on this problem, the UMKM "D'mitz Screen Printing" carried out a demand forecasting analysis for screen printed clothing with the aim of reducing waste and maximizing value. Forecasting demand for screen printed clothing for the next five months using time series analysis and moving average methods. Forecasting results for the period March 2022 to February 2023 show sequential forecasting values of 3266.67; 3300; 3250; 3283.33; 3233.33; 3316.67; 3333.33; 3372.22; 3305.56; and 3272.22. From the Mean Absolute Error (MAE) and Mean Square Error (MSE) calculations that have been carried out, the MAE value is 94.44 and the MSE value is 16018.593.

Education is an effective way to improve people's quality of life. The quality of education depends on the quality of the teachers who teach. Teachers have an important role in the growth and development of students at school. SDN Langenharjo 01 evaluates teacher performance in teaching students by selecting the best teachers as a form of appreciation for their performance and also as a form of teacher motivation to improve the quality of teaching students at school. The school still carries out manual calculation processes and does not yet use the system. The aim of this research is to develop a decision support system for determining the best teachers at SDN Langenharjo 01 using the web-based Simple Additive Weighting (SAW) method. This research uses the Agile System Development method, starting with initial planning, then continuing with the analysis and design stages, and ending with implementation and testing. The SAW method calculation shows that Raharja S.Pd is the best teacher with a preference value of 0.9913. Testing of system functionality shows that all functions in this decision support system work as expected

The purpose of this study is to understand the extent to which fasting material is taught in class VIII junior high school. This research uses the literature study method, in which data is collected from the fiqh teacher's book and student book in the class. The data obtained were then analysed and presented. The results showed that the material on fasting in the fiqh textbooks of grade VIII students was still lacking in depth and breadth. Therefore, it is expected that teachers can enrich the material taught by considering facts, concepts, principles, and procedures that must be clear, functional, valuable, and easy to understand. This step is taken to ensure that students not only know the development of science and technology but can also balance it with the religious knowledge they learn. It is hoped that the research activities that include the revision and development of fiqh subject matter will yield positive results. The new fiqh materials are expected to be more weighty, effective, and easier to understand by both teachers and students.

Poor fluid management among hemodialysis patients can lead to detrimental outcomes such as high Interdialytic Weight Gain (IDWG), contributing to increased cardiovascular morbidity and mortality. While conventional education on fluid restriction exists in hospitals, non-compliance remains prevalent, highlighting the need for educational approaches grounded in self-efficacy theory to enhance patients' self-confidence in self-management. This study aimed to assess the impact of educational interventions based on self-efficacy theory on IDWG in hemodialysis patients at Malahayati Islamic Hospital. Using a quantitative quasi-experimental pretest-posttest control group design, the study included a total of 68 participants selected through purposive sampling. Statistical analysis revealed a significant difference (p < 0.05) in IDWG scores between the intervention and control groups post-intervention, indicating the effectiveness of self-efficacy-based education in improving compliance with fluid intake restrictions among chronic kidney failure patients undergoing hemodialysis.      

The factors that influence the nutritional status of children under five are very substantial to be studied. This aims to find out what factors are related so that power action and efforts to improve nutrition can be taken in the community. Because health is a form of human right which is explicitly mandated by the 1945 Constitution. Education and time for mothers and the health of parents, especially mothers, are one of the causes of malnutrition in toddlers. This study aims to determine the relationship between maternal characteristics and the nutritional status of children under five at the Padang Garugur Public Health Center, Padang Lawas Regency. The research procedure was by measuring body weight, mothers of children under five were given a nutritional status questionnaire. Data analysis using the Chi-square test showed that from 45 samples. The majority of children's nutritional status is good (77.8%). There is a relationship between mother's knowledge and nutritional status of children under five at the Padang Garugur Public Health Center, Padang Lawas Regency (p = 0.001). There is a relationship between maternal education and the nutritional status of children under five at the Padang Garugur Health Center, Padang Lawas Regency (p = 0.005). From the results of the study, it can be concluded that knowledge, , education of mothers are related to the nutritional status of children under five. It is recommended that all mothers continue to seek information about children's health, especially the procedure for providing nutritious food to toddlers."

The growth of the human population and increased purchasing power drive greater demand for broiler meat, posing challenges for farmers to enhance their productivity and business efficiency. The development of closed-house cages offers a solution to improve production efficiency. This study compares the productivity and financial analysis between the cage and postal models. Utilizing a quantitative descriptive method, the research was conducted over a single rearing period in cages and postal setups at PT Dinamika Megatama Citra (DMC) without any specific treatment. Research parameters encompassed body weight gain, mortality, FCR, harvest weight, and Performance Index. Financial analysis was conducted using indicators such as the R/C ratio, B/C ratio, Break-Even Point (BEP), and Return on Investment (ROI). Results indicate that in cage conditions, mortality stood at 4.07%, FCR at 1.718, average weight at 2.2 kg, and Performance Index at 287.5. Meanwhile, postal cages exhibited higher mortality at 8.79%, FCR at 1.732, average weight at 2.3 kg, and Performance Index at 285.6. In financial analysis, cage systems had a BEP price of Rp 19,726/kg with a unit BEP of 40,616 kg, an R/C ratio of 1.039, a B/C ratio of 0.039, and an ROI of 3.92%. Conversely, postal cages had a BEP price of Rp 19,507/kg with a unit BEP of 39,924 kg, an R/C ratio of 1.05, a B/C ratio of 0.05, and an ROI of 5.09%.

This research aimed to determine the comparison of types of battery materials for laying hens, specifically bamboo and wire, on the welfare and production performance of laying hens. The material for this research consisted of 100 laying hens of the ISA Brown strain aged 54 weeks. The variables observed included livestock welfare, which was assessed through behavioral aspects (eating, drinking, and resting), while the production performance variables observed included HDP (Hen Day Production), egg weight, egg mass, and FCR (Feed Conversion Ratio). The research method employed an experimental approach using the T-test (independent sample). Two treatments were used, each with 50 replications. The results of the research indicated that the difference in treatment using T1 (bamboo battery materials) and T2 (wire battery materials) affected livestock welfare and production performance. The research results demonstrated that the behavior of bamboo batteries was considered better in terms of livestock welfare because they were able to better prevent heat stress. In terms of production performance, wire batteries exhibited higher Hen Day Production (HDP) and were better at preventing disease than bamboo batteries. However, bamboo batteries had a higher egg weight due to the frequency of feeding chickens being higher than wire batteries. Improved sanitation management is necessary for batteries made from bamboo because they tend to more easily become a medium for the growth of germs, lice, and fungi, which can cause disease and result in decreased production performance.

The use of automation systems is needed in sorting, one of which is the sorting of objects based on the size of the object being sorted. Especially in the sorting process, there are still many industries that use conveyors that only function for one product with the same weight characteristics. Therefore, to sort the same goods with different weights, a separate conveyor is needed so that many conveyors are used. The development of a sorting machine is an important aspect in the modern automation and manufacturing industry. This research aims to design and analyze the static loading of the sorting machine frame using SOLIDWORKS software. The design method used includes detailed 3D modeling of the machine frame by considering the strength, stability and reliability of the structure. The simulation results using SOLIDWORKS software show the stress (von Mises) with a maximum value of 82.26 MPa, while the theoretical calculation result is 84 MPa. Displacement with a maximum value of 4.063 mm, while the theoretical calculation result is 1.60 mm. The safety factor is 2.38, while the theoretical calculation result is 2.43. The difference between manual calculation and simulation is 0.02% for von Mises stress, 1.5% for displacement, and 0.02% for safety factor.