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The Toba Batak tribe has a distinctive fabric known as ulos. Toba Batak ulos have types depending on their uses. But in the modern era, especially among urban communities, very few people know the types and uses. Motivated by the success of Convolutional Neural Network (CNN) algorithm in image classification, this study will conduct a learning-based approach to classify 5 types of Toba Batak ulos (Ragi Hidup, Ragi Hotang, Mangiring, Sadum, and Sibolang). The process starts from data collection, data analysis, model building, model training, and confusion matrix. The dataset used is 1000 images with 80% training data, 10% valid data, and 10% test data. Convolution, maxpooling, dropout, flatten, and fully connected are the 5 layers forming the CNN model. The optimizer used is Adam with a learning rate of 0.001. The model generated in this study can detect Toba Batak ulos images at an accuracy rate of 94.00%.    

The problems of this research are (1) the relationship of similarities and similarities in the vocabulary of Dentong and Duri languages ​​(2) the relationship between sound and meaning in Dentong and Duri languages ​​(3) the kinship relationship between Dentong and Duri languages. This study aims to find out, describe the relationship of similarities and similarities in the vocabulary of Dentong and Duri languages, describe the relationship between sound and meaning in Dentong and Duri languages ​​and describe the kinship relationship between Dentong and Duri languages ​​and information about vocabulary comparisons between Dentong and Duri languages. Duri language. The theory used is comparative linguistic theory using 207 Swadesh vocabularies as the basis for the vocabulary being compared.This type of research is qualitative research. The techniques used are observation techniques, interview techniques, recording techniques, observation/note-taking techniques and documentation. This research was conducted for 2 weeks and the research subjects were native speakers of Dentong and Duri languages.The results of this study obtained similarities and similarities between Dentong and Duri languages ​​based on five word classes, namely verbs, pronouns, nouns, numerals, and adjectives. The basic vocabulary similarities in Dentong and Duri languages ​​total 46 words or 23%, one of the data is that the word [fur] in BDNT is also called [bulu] in BDRI, the basic vocabulary similarities in Dentong and Duri languages ​​are 20 words or 10 % one of the data in the word [two] 'rua' in BDNT and [two] 'two' in BDRI.Based on the results of the research above, it can be concluded that the comparison between Dentong and Duri languages ​​has similarities and similarities. The similarities and similarities, if totaled, there are 66 similarities and similarities or 33% of the vocabulary. Therefore it can be stated that the two languages ​​being compared are cognate languages.  

This research is an experimental research with pre-experiment method, this research design is the one group pretest posttest. This study aims to determine the effectiveness of the Student Team Achievement Division (STAD) learning model in identifying information and summarizing explanatory text. The samples in this study were VIII grade students. Based on the results of research and data analysis regarding the comparison of statistical values, the comparison of learning outcomes categories and the comparison of the level of completeness proves that the improvement of student learning outcomes can be seen from the data on student learning outcomes through descriptive statistical analysis before using the Student Team Achievement Division (STAD) learning model, the average student score is still below the KKM value, namely 49.57 and after using the Student Team Achievement Division (STAD) learning model, the average student score increases above the KKM, namely 84.21. It is known that the posttest value is 84.21 more than the Pretest value which is 49.57. Furthermore, based on the results of inferential statistical analysis using the t-test formula, it is known that the t_ (count) obtained is 4.371 with the frequency df = 14 -1 = 13, at a significant level of 0.05 or 5% the t_table is 1.770. So t_ (count) > t_table or H_0 rejected H_1 accepted. These results can be concluded that there is a significant increase in student learning outcomes. This means that the use of the Student Teams Achievement Division (STAD) learning model is effective in learning to identify information and summarize explanatory texts in class VIII students of SMP Muhammadiyah 10 Makassar.      

Hospital service quality can be seen from the professional appearance of hospital personnel, efficiency and effectiveness of services and patient satisfaction. Communication was very important for nurses in interacting with clines. Clines satisfaction is a level of patient feeling that arises as a result of health services performance obtained after patient compares it with expectation. clines satisfaction was determined by the overall service provided in patient or family complaints. The study was to determine the relationship between nurse communication and postoperative clines satisfaction at Medan Hospital.The research design used analytical survey method with a Cross-Sectional approach. The population in this study were postoperative patients totaling 477 respondents. The sampling used is purposive sampling, namely taking for a purpose by determining certain characteristics that are considered representative of the population, sampling is the slovin technique, totaling 83 respondents.The results of the analysis using the Chi-Square test showed that the significant probability value (Asymp.Sign) of nurse communication was 0.002 < sig value .05, this proves that there was a relationship between nurse communication and clines satisfaction at Medan Hospital.The conclusion was that statistically a relationship between nurse communication with postoperative clines at Medan Hospital. It is recommended for nurses to maintain communication therapeutic nurse to obtain quality health services for postoperative patients.                                                 

Introduction: Health Care Associated Infections (HAIs) often occur in hospitals. Infections classified as HAIs are surgical site infections. Compliance with wound care according to SPO, application of SSI budles and SC patient factors, namely: age, blood sugar levels and albumin levels contribute to the incidence of surgical site infections. This study aims to explain the relationship between SPO adherence to wound care, application of bundles surgical site infection, and patient factors with the incidence of SSI in sectio caesarea patients. Methods: This study uses a literature review. Search strategy on ProQuest, Google Scholar, PubMed. The journal reviewed is research on the relationship between SPO compliance with wound care, application of bundles surgical site infection, and patient factors with the incidence of SSI in cesarean section patients published in 2016-2023. Journals that did not meet the inclusion criteria were excluded, so that 5 journals were reviewed. Results: there is a relationship between adherence to SPO wound care, application of bundles surgical site infection, age, blood sugar levels, and albumin levels of SC patients to the incidence of SSI. Discussion: Research recommends that nurses adhere to SPO and implement SSI bundles strictly in a compliant manner, as well as monitoring patient factors, such as: age, blood sugar levels, patient albumin levels are very important in preventing infection in the operating area.    

The patients with chronic kidney failure, if they do not limit their intake of fluids, food and an appropriate daily diet, it will cause malnutrition and accumulation of fluid in parts of the body, including the face, hands and feet. Fluid buildup can also occur in the abdominal area or what is usually called ascites. Ascites is an important problem and often occurs in patients undergoing hemodialysis. Ascites will cause stomach enlargement and excess weight gain. The aim of this study was to determine the effect of patient diet compliance on the development of ascites in kidney failure patients in the hemodialysis unit at Tk Hospital. II dr. Soedjono Magelang. This type of research is descriptive analytic using a cross-sectional method. The sampling technique used the Purposive Sampling method with a sample size of 46 respondents. Statistical analysis uses the chi-square test. The results of this study showed p=0.002, which means there is an influence between diet compliance and the incidence of ascites in the Hospital Hemodialysis Unit. Kindergarten II dr. Soedjono Magelang. The more patient compliance with a nutritional diet will have a better impact on the development of ascites.

This study analyzes work posture in cigarette manufacturing at PT Wan Tobacco Cigarette using the Standard Nordic Questionnaire (SNQ) and Rapid Entire Body Assessment (REBA) methods. Manual handling work has the potential to cause health risks due to physical loads and non-ergonomic postures. PT Wan Tobacco Cigarette faces problems with ergonomic risky work activities, especially in the cigarette manufacturing machine section, with worker complaints such as muscle fatigue and health problems in the hands, upper arms, back and neck. The SNQ method is used to identify complaints on the employee's body parts, while the REBA method is used to analyze work posture as a whole. This study focuses on assessing work posture when transferring tobacco to cigarette making machines. The REBA method was chosen because of the complexity and dynamics of employee activities. This research is expected to contribute to improving workers' posture to make it more ergonomic and help PT Wan Tobacco Cigarette control the risk of health problems caused by ergonomic factors. By identifying work posture problems and employee complaints, companies can implement changes in the design of work methods and work stations that are more ergonomic to improve worker comfort and welfare.

This study aims to find out how the Planning and Control of the Markombur Program at TVRI North Sumatra, this research uses qualitative methods, namely by observation to direct interviews at the research location. TVRI no longer fully uses conventional media but has utilized various online media such as YouTube, Twitter, Instagram, and others. By utilizing this media, the program is more attractive to viewers who have implemented a shift in technology. For this reason, this study discusses starting from production planning, program control, to production stages.    

In rural areas, there are fewer and fewer native chicken (non-breed or free-range) businesses run by household units. In other words, even though other households no longer raise free-range chickens, there are still households that do. When they have free-range chickens, they have the potential to earn more money than many other households. Furthermore, according to febroni (kompas.com), the native chicken livestock business has become one of the most promising in recent years. Year after year, the demand for chicken meat grows because there are more and more restaurants and street stalls selling native chicken menus. This statement is backed up by https://bukukas.co.id, which claims that "native chickens have their own market segment that is growing.". This phenomenon is worth researching in order to gain scientific knowledge about various aspects, especially the economic aspects of their income and social analysis in social life. According to the findings of this study, internal strategic factors affecting the livestock business of native chickens (non-breed) include population, health, feed availability, and capital. Furthermore, it has a positive impact on family income that the business of raising native (non-breed) chickens has, namely as a source of income for the surrounding population and as a producer of animal protein for the community, as well as additional income for the family

This study aims to examine the effect of Profitability and Liquidity on Firm Value either directly or through Dividend Policy as a moderating variable in finance sector companies listed on the Indonesia Stock Exchange (IDX) in 2018-2020. This type of research uses quantitative methods with secondary types. The population of this study is all annual financial reports of the finance sector listed on the Indonesia Stock Exchange in 2018-2020. The sample was selected using purposive sampling method and obtained 27 samples of annual financial statements. The method used in this research is Partial Least Square (PLS) through WarpPLS 7.0 software. The results show that Profitability has no significant effect on Firm Value. However, Liquidity has a significant and positive effect on Firm Value. Dividend Policy is not able to moderate Profitability and Liquidity on Firm Value.

The concept of the smart city has emerged as a strategic response to rapid urbanization, increasing population density, and escalating environmental degradation. It is designed to create more efficient urban management through the integration of information and communication technologies, with the primary goal of enhancing public services, optimizing resource use, and improving citizens’ quality of life. One of its most significant promises is its potential to mitigate ecological challenges, particularly in monitoring and reducing air pollution levels. This study aims to analyze the impact of smart city implementation on urban ecology and quality of life, focusing on air quality as a key indicator. A quantitative comparative approach was applied, using both primary data from air quality measurements PM2.5, CO₂, NO₂, and AQI and secondary data from government reports, environmental agencies, and academic publications. The research was conducted in five major Asian cities recognized for adopting smart city initiatives. The results reveal varied outcomes: Tokyo and Kuala Lumpur demonstrated substantial improvements in air quality and livability, while Beijing and New Delhi continued to struggle with severe pollution. Jakarta showed partial progress, though improvements remain limited. These findings indicate that while technology is critical, it alone does not ensure ecological sustainability. Effective governance, public participation, and context-based strategies are equally crucial. This study highlights the need for smart city policies to prioritize ecological resilience and human well-being as central elements of sustainable urban development.

Quantum-Inspired Algorithms (QIAs) combine principles of quantum computing with classical evolutionary strategies to address complex optimization problems. This research explores the potential of QIAs in improving optimization processes, particularly in combinatorial and multi-objective optimization scenarios. The study focuses on the application of Quantum-Inspired Genetic Algorithms (QIGAs) and Quantum-Inspired Evolutionary Algorithms (QIEAs), assessing their effectiveness in solving classical problems like the Traveling Salesman Problem (TSP) and Minimum Spanning Tree (MST). Through computational simulations, the research compares the time convergence and solution accuracy of QIAs against traditional classical algorithms. The findings demonstrate that QIAs achieve faster convergence rates and higher-quality solutions, with accuracy levels reaching 98-99% of the global optimal solutions, while significantly reducing computational time. These results underline the advantages of QIAs in solving large and complex optimization problems, making them a promising alternative to traditional algorithms. Additionally, QIAs excel in avoiding local minima, a common pitfall of classical methods, due to their ability to explore the solution space more efficiently through quantum principles like superposition and interference. The implications of this study suggest that QIAs can be a valuable tool for tackling real-world optimization challenges, with potential applications in fields such as finance, logistics, telecommunications, and energy management. The research also indicates the necessity for further improvements in quantum-inspired algorithms' scalability and hardware integration, particularly for larger, more intricate optimization problems, to fully realize their potential in practical industrial applications.

This type of research is library research, that is, research and studies are carried out by tracing and examining literature or written sources related to the subject matter. The type of data in this study is qualitative data. Qualitative data, namely in the form of literature from various experts. Secondary data sources are data that come from literature books where all information is related to this problem. In analyzing the data obtained and as an attempt to draw conclusions, the collected data will be analyzed using a qualitative descriptive analysis. Based on the results of the analysis, this study produced several findings, namely that giving rewards does not always have to be expensive. But there is nothing wrong with giving children rewards in the form of goods. As long as the item is really needed. When a child makes a mistake, don't be scolded immediately, because this can cause the child to be psychologically depressed..

This study aims to describe the Forms of Direct and Indirect Speech Acts of Conversations by Shabira Alula and Her Father on Tiktok Social Media. The type of research used is descriptive qualitative research. Data collection techniques use observation techniques by watching video conversations and listening. The researcher started collecting data since Shabira was 3 years old, from 30 June 2021 to 30 June 2022. The results of this study are that there are 107 data in the form of direct speech and 5 data in indirect speech. Direct speech is divided into three types, namely interrogative, imperative, and declarative. There are 107 interrogative utterances (question words). imperative utterances (command sentences) amount to 24 data. declarative speech (sentence news) amounted to 16 data. Imperative speech is divided into several parts, namely the utterance of asking is 6 sentences, while the indirect speech act contains 2 fragments of conversation.  

This study aims to, (1) describe the process of developing news text teaching materials based on the Filmorago application, (2) describe the form of developing news text teaching materials based on the Filmorago application, and (3) describe the feasibility of teaching materials for news texts based on the Filmorago application. The development of teaching materials for news texts based on the Filmorago application uses the Borg and Gall model modified by Sugiyono, with stages of potential and problem analysis, data collection, product design, design validation, revision and trial stages. The validation stage includes material expert lecturers and expert lecturers. The sample of this study was 37 grade VIII students of Dharma Patra Pangkalan Brandan Private Junior High School using the Purpossive Sample technique. Data collection techniques with interviews and questionnaires. The research instrument is in the form of a questionnaire sheet validating material experts and media experts using Likert scale calculations. Data analysis uses qualitative descriptive analysis. Research shows that products from Filmorago application-based news text teaching materials get research results with "Very Good" criteria with an average of 90%, with results from material experts of 90% with "Very Good" criteria and results from media experts of 82% with "Very Good" criteria so that teaching materials are suitable for use in the learning process. The results of the product trial received an assessment from teachers of 96% with the criteria of "Very Good" and a student assessment of 90% with the criteria of "Very Good".

Basically, the ingredients for forming concrete consist of cement, water, and aggregate, namely fine aggregate and coarse aggregate. The aggregates commonly used are natural aggregates, namely sand as fine aggregate and gravel or crushed stone as coarse aggregate. Sand as fine aggregate is obtained from mining processes in nature, especially in Indragiri Hulu district, sand mining occurs almost along the Indragiri river. Rock ash is generally dark in color (blackish gray), and consists of fairly coarse grains. When compared to sand, rock ash has a cheaper price. The method used in this study is the experimental method, namely research that aims to investigate causal relationships between one another and compare the results so as to make an innovation. The results of the tests that have been carried out by the author on variations in the addition of stone ash to the concrete mixture for fine aggregate with variations of 25%, 50% and 75%. The results of laboratory tests in this study found that the optimum percentage of rock ash as a substitute for sand was a variation of 50% rock ash with a compressive strength of 28 days of 19.60 Mpa. Rock ash on 50% test specimen can be used as a substitute for sand because in terms of compressive strength with the quality provisions K-225 meets the requirements with a value of 19.60 MPa.    

Garbage is the biggest threat, especially in Indonesia, statistically the second largest country in the world after China. Most of Indonesia's population lives in coastal areas and that is where most of the trash is found. Garbage on the coast can come from human activities such as tourists, municipal waste disposal and part of the river. The purpose of this research is to increase awareness and participation to create a clean environment to protect clean coastal and estuarine environments. The research method is library research with a systematic review design based on descriptive analysis, namely journal articles searched in the Google Scholar database. The results of the study applying the clean movement can minimize waste, and appeal to the public to have a sense of concern for the environment so that the beach is not polluted, does not damage the environment and maintains public health.

At the beginning of 2020 the world was shocked by a new virus thought to have originated from Wuhan, China. named 2019 Novel Corona virus. The World Health Organization (WHO) names the new virus as corona virus disease 2019 (Covid-19), that health workers, both doctors, nurses and hospital administration staff, need legal protection from the government. Health workers are willing to devote themselves to serving public health and even sacrifice their lives and those of their families to tackle the spread of Covid-19. The formulation of the problem in this study is How is legal protection for health workers and the Covid-19 acceleration task force? and How is the form of guidance and supervision of the implementation of Covid-19 prevention services, the method used is a normative juridical approach. The work safety of health workers due to the Covid-19 pandemic has not been carried out properly as mandated in laws and regulations, in the implementation of the rights of health workers During the Covid-19 pandemic, it is still neglected and has not been fulfilled. Therefore, the role and responsibility of the government is needed to fulfill the rights of health workers as the frontline.

Crimes that often occur in cyberspace are crimes that are relatively new, cybercrime is growing rapidly along with the development of internet technology that is happening today. The spread of hoaxes during the Covid 19 pandemic has become a big problem because many people believe hoaxes, causing the handling of Covid 19 to be very slow and causing many victims. The Covid 19 pandemic has forced all people in the world, including Indonesia, to be comfortable living side by side with Covid 19. This research uses a normative legal research method using a statutory approach. The main source of this research is regulations. The results of this study indicate several crimes that can be used as protection by consumers who experience losses due to fake news amid the Covid 19 pandemic, namely Article 14 paragraph (1), paragraph (2), Article 15 Article 14 paragraph (1) and Article 45A paragraph (1). ) and (2), and article 28 of Law Number 11 of 2008 concerning Information and Electronic Transactions.

The Office of the Airport Authority Region III is one of the government agencies that provide public services to the public, namely airport PAS services, therefore the Office of the Airport Authority Region III participates in the government program to build a good and clean government by designing the construction of an integrity zone towards a Serving Free Bureaucratic Area (WBBM) to improve the quality of its services. The purpose of this research is to determine the effectiveness of the WBBM predicate and the supporting and inhibiting factors in improving the quality of airport PAS services at the Office of the Airport Authority Region III. The research method used is mixed methods, which means combining quantitative and qualitative research simultaneously with the chosen strategy, namely sequential explanatory. The data sources obtained are primary and secondary data with the data collection techniques used are interviews, documentation, and direct observation at the Region III Airport Authority Office. The results of this study indicate that the WBBM predicate is effective in improving the quality of airport PAS services as evidenced by the SKM results which continue to increase from 2020 to 2022 and changes in the airport PAS service system to online services. Factors that support the improvement of the quality of airport PAS services are the six areas of change in WBBM and the existence of inhibiting factors, namely websites that have not been properly managed, human resources that have not provided excellent service, and lack of work ethic in providing services