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The background of this study focuses on the understanding of the concept of mahram in the context of increasingly complex modern life. Social, cultural, and technological changes are influencing how individuals understand and apply the values of mahram in their daily interactions. The aim of this research is to identify the challenges faced by society in understanding mahram and to offer practical solutions to address these issues. The research method employed is a qualitative approach, utilizing in-depth interviews and content analysis of various literature sources, as well as surveys conducted among the community. The collected data is analyzed to identify patterns and key issues related to the understanding of mahram. The results of the discussion indicate that the main challenges in understanding mahram in the modern era include a lack of consistent understanding, the influence of social media, and shifts in social norms. Proposed solutions include enhancing religious education, public awareness campaigns, and utilizing digital platforms to disseminate accurate information about mahram. This research is expected to contribute to society's efforts in strengthening the understanding of mahram that is relevant to the current context.

Traditional markets and supermarkets offer unique shopping experiences. Changes in shopping patternsreflect the complexity of social and economic dynamics. This study aims to understand the impact of consumerneeds and product quality on shopping preferences in the traditional market of Pesing Koneng, West Jakarta,benefiting academics, practitioners, and policymakers. The study employs an associative quantitative approachwith 96 respondents and questionnaires as research instruments. The analysis results indicate a positive influenceof consumer needs and product quality on shopping preferences. It is important to note that this analysis wasconducted solely in one traditional market without considering other variables or moderators that could affectshopping preferences more comprehensively.

This research aims to find out how much influence parenting patterns and the influence of the community environment have on the science learning outcomes of class V students at SDI Harekake, Malacca Regency. Data in the research were taken using questionnaires and tests. The questionnaire was divided into two groups, namely to reveal data on parenting patterns and the community environment. Test scores are used to reveal the science learning outcomes of fifth grade students at SDI Harekakae. The analysis technique used in hypothesis testing is a multiple linear analysis technique. The results of the research show that, there is no significant influence between parenting styles on the science learning outcomes of class V students at SDI Harekakae with a significance value of 0.1630 > 0.05. There is no significant influence between the community environment on the science learning outcomes of fifth grade students at SDI Harekakae. This is proven by the calculation results which show a significance value of 0.0826 > 0.05 and there is no significant influence between parenting style and the community environment on science learning outcomes. fifth grade student at SDI Harekakae. Because the significant value of parenting patterns and the community environment is greater than the Alpa Value.

This study aims to identify the best cellulose, hemicellulose, and lignin content from rice straw processing using fermentation technology with bioactivators EM4, Win Prob, and Microbacter alfaafa 11 at various incubation durations (7, 14, and 21 days) to be used as animal feed. The study was conducted using the Complete Random Design (RAL) method of a 3 x 3 factorial pattern, involving 9 treatments with each treatment repeated three times. The factors tested include: factor A (Type of rice straw processing): 1. Fermentation with EM4; 2. Fermentation with Win Prob; 3. Fermentation with Microbacter alfaafa 11. As well as factor B: Incubation duration (7 days, 14 days, and 21 days). The parameters measured were cellulose, hemicellulose, and lignin content. The results showed that the lowest cellulose content was achieved in the A3B2 treatment (fermentation with Microbacter alfaafa 11 for 14 days) of 36.2591%. A1B1 treatment (fermentation with EM4 for 7 days) resulted in the highest hemicellulose content of 30.4997%. Meanwhile, the lowest lignin content was found in the A3B2 treatment with a value of 15.3618%. In conclusion, the fermentation treatment of rice straw with Microbacter alfaafa 11 for 14 days (A3B2) was the most optimal in reducing the content of cellulose (36.2591%), hemicellulose (25.8671%), and lignin (15.3618%).

Based on the results of the 2022 Indonesian Nutrition Status (SSGI) survey by the Ministry of Health, the prevalence of stunting among children under five in Maluku Province reached 26.1%. This figure puts Maluku province in the 13th place nationally. It was recorded that Maluku province cut the number of stunted children under five by 2.6 points from the previous year. In SSGI 2021, the prevalence of stunting in Maluku reached 28.7%, but this figure is still relatively high because it exceeds the threshold set by WHO of 20%. The purpose of this study is: to determine the relationship between feeding patterns and the incidence of stunting in toddlers in the working area of the Mangoli Health Center, Sula Islands. This study is an analytical observational research using a cross sectional approach. The results of the chi-square test showed that there was a meaningful relationship between feeding patterns, namely the amount of food given to toddlers with a p value = 0.002. because the p value < 0.005 thus H0 is rejected and Ha is accepted, so there is a meaningful relationship between the provision of food to toddlers and the incidence of stunting in toddlers in the working area of the Mangoli Health Center in the Sula Islands Mangoli Health Center.

Global climate change has become a serious challenge that affects various aspects of life, including the field of architecture, especially in tropical climates. Increasing environmental temperatures and changing weather patterns have a significant impact on the thermal comfort and energy efficiency of buildings. This article aims to explain strategies for applying bioclimatic architectural principles as design solutions that are responsive to local climate conditions. Through systematic literature analysis, it was found that architectural design that considers climatic factors can increase comfort for occupants and reduce dependence on artificial lighting and lighting systems. This article also discusses various strategies for applying bioclimatic principles, such as the placement of the building's core orientation, window openings, balconies, transitional spaces, wall design, landscape relationships, passive shading, and heat insulation on the floor, where the application of these strategies can help create a more beautiful building. sustainable and energy efficient. Therefore, the application of bioclimatic architecture is very important to create buildings that can adapt well and efficiently in tropical areas.  

Poverty in Aceh Province is a significant challenge with variation between districts/cities due to differences in access to education, health, job opportunities, and infrastructure. This study aims to group districts/cities in Aceh based on poverty indicators in 2021 in order to produce a more targeted policy basis. The research data consists of 23 poverty indicators obtained from secondary sources. Cluster analysis is applied using hierarchical (average linkage) and non-hierarchical (K-Means) methods to identify poverty patterns between regions. The results of the hierarchical cluster show that there are two main groups, namely the first cluster has low poverty rates, higher education, strong purchasing power, and low unemployment, while the second cluster has the opposite characteristics. The non-hierarchical analysis (K-Means) produced five clusters with significant differences in poverty levels, labor force participation, education, and economy. These findings provide a basis for the Aceh government to design poverty alleviation policies that focus on the specific needs of each cluster to accelerate the improvement of welfare in all districts/cities in Aceh Province.

Household financial management is a crucial factor in maintaining family financial stability, particularly in the face of economic uncertainty. This study examines the strategies employed by households in managing their finances, including budgeting, expenditure control, savings, and investment, as well as the challenges encountered during economic crises. Through a combination of literature review and case studies, the research reveals that households with clear financial planning and adequate emergency funds are more resilient in times of crisis, such as the COVID-19 pandemic. Factors such as income levels, education, and financial literacy significantly influence household financial decisions, while consumption patterns driven by social media often present a challenge. Effective strategies identified include strict budgeting, reducing non-essential expenditures, and prioritizing long-term savings and investments. This study underscores the importance of financial literacy and awareness in household financial management as key to achieving financial stability amidst global and domestic economic uncertainties.

The phenomenon of increasing use of online games among teenagers in Pebenaan Village, Indragiri Hilir Regency, shows a shift in communication patterns from the real world to the virtual world. Online games no longer only serve as entertainment, but also become a significant space for social communication. This research aims to identify teenagers' motives for using online games as a communication medium, understand the communication process that occurs, and evaluate its impact on their social behavior. Using a descriptive qualitative approach, data was collected through in-depth interviews, participant observation and documentation. The research informants were teenagers aged 13–19 years who actively played online games in Pebenaan Village. The research results show that the main motives of teenagers include entertainment, escape from boredom, social acceptance, and expanding friendship networks. The communication process in online games occurs through text chat, voice chat, and symbols such as emotes, which allows spontaneous and flexible interaction. Positive impacts include increasing collaboration skills and expanding social networks, while negative impacts include decreasing the intensity of real-world interactions and the use of abusive language. This research concludes that online games offer opportunities and challenges for teenagers' communication patterns, so wise management is needed to exploit their positive potential without ignoring the risks that may arise.

The purpose of this study is to determine the literature review on Influencer marketing and product quality on the purchase intention of generation Z consumers. Advances in internet technology have led to shifts in human lifestyles, especially in purchasing patterns. In writing this article, literature review plays an important role in formulating research ideas, understanding previous findings related to the topic, and identifying gaps in existing knowledge.A systematic literature review (SLR) was conducted in two well-known databases, ScienceDirect and Scopus. After applying the inclusion and exclusion criteria, 1,498 out of 2,036 articles were assessed as relevant, after which these papers were carefully examined to produce an in-depth analysis of the subject. Ultimately, 13 papers were selected for in-depth examination in the study. Based on SLR data, the articles were written between 2021 and 2024. The research methodology used in this paper includes descriptive analysis and bibliographic analysis.The results of writing the article are known that Influencer marketing is one of the company's strategies in achieving their strategic goals by utilizing influencers as messengers for products or brands so that they can reach a wider market.Brand is the identity of a company, where companies build a good brand image so that potential consumers can remember the good image of a product and stick to potential consumers.The results of this study show that many factors influence consumer behavior, including the role of influencers, product quality, and social media marketing strategies.

The formation of laws and updates to legal materials must be aimed at realizing social equilibrium , namely an orderly, just and prosperous life. The pattern of communication or dialogue and dialectics that occur in the process of forming legislation will affect the character of the law, the more transparent and participatory the more responsive the law will be. This research method uses normative juridical. The legal policy of legislation should include three things: (i) guarantee justice in society ; (ii) create a peaceful life (create alive placidity ) by maintaining legal certainty; and (iii) realize usefulness (realize use ) by handling real interests in common life in a concrete manner. The application of the principle of justice is based on "legal enforceability" and "equality before the law". The principle of legal certainty is achieved through: (i) clear and firm norming regarding obligations and prohibitions; (ii) legal transparency that prevents society from normative confusion; and (iii) continuity of legal order that provides a reference for future behavior. The principle of utility is based on the ability of law as a social instrument to integrate the aggregation of social interests so that they do not clash with each other, and instead order occurs.

This research aims to analyze the best-selling products at Toko Hartati using the K-Means Clustering method. K-Means Clustering is an unsupervised learning algorithm that is effective in grouping data based on certain similar characteristics. In this context, the data used includes the number of sales, product prices, and product categories. Through this analysis, it is hoped that insight can be gained regarding products that have the best sales performance, as well as sales patterns that can be used as a reference in stock management and marketing strategies. The data used in this research includes sales transactions during a certain period, with the aim of identifying product clusters based on sales patterns. The analysis results show the existence of two main product groups, where the first cluster contains products with high sales numbers, which can be classified as best-selling products, while the second cluster includes products with lower sales. These findings provide valuable information for the management of Toko Hartati in determining more targeted marketing strategies and more efficient stock management. This research suggests using the K-Means Clustering method in data-based decision making to improve sales performance in retail stores.

The purpose of this research is to create a JST (artificial neural network) model that can forecast population growth at the Population and Civil Registration Office of West Sumba Regency. population growth at the Population and Civil Registration Office of West Sumba Regency. Regency. Regional development planning must consider the increasing number of population, therefore proper forecasting is essential to encourage sustainable policies and initiatives. sustainable policies and initiatives. Because it can identify complex patterns in past data and produce more accurate forecasts than traditional techniques, an ANN model is used. traditional techniques, the ANN model is used. The data used in this study is the population growth of Southwest Sumba Regency over the past including characteristics such as birth and death rates and population movements. deaths and population movements. The backpropagation algorithm is used to optimize the multilayer perceptron (MLP) architecture for ANN training. Separating the data into training and testing sets and assessing the models model using metrics such as Mean Absolute Error (MAE) and Root Mean Squared Error (RMSE) based on the error. Error (RMSE) based on the prediction error are the steps involved in the training process. involved in the training process. The research findings show that, with a low level of error, the artificial neural network model can estimate the population increase in Southwest Sumba Regency with a reasonable level of accuracy. reasonable level of accuracy. The model is expected to serve as a reference for relevant authorities to better manage population data and as a tool to create more focused and successful population policies.

The purpose of this research is to examine and analyze the validity of scientific crime investigation as evidence in the process of proving murder cases and what are the advantages and disadvantages of using the scientific crime investigation method in crime scene processing carried out by forensic laboratories. Then the method used in this research is the normative legal research method. The results of the study show that the scientific crime investigation method, which is expressed in concrete form through forensic laboratory examinations and information from police forensic experts, is the central point. In connecting the relationship between the perpetrator, victim and evidence with the crime scene, the construction of evidence for a criminal act becomes stronger and can give confidence to the judge in deciding a case fairly and in accordance with the actual facts. In the case of the crime of murder with poison, the statements of the witnesses and the statements of the two defendants were linked and interconnected with each other after the scientific crime investigation method was applied; The advantages and disadvantages of using scientific crime investigation methods in crime scene processing carried out by forensic laboratories include. The advantages and disadvantages of using scientific crime investigation methods in crime scene processing carried out by forensic laboratories include: (1). The advantage of implementing scientific crime investigation is that uncovering cases using old methods full of violence, intervention, etc. has been abandoned. (2) Fast, precise and accurate inspection supported by special tools that have been internationally standardized, (3) Minimizing errors made before SCI implementation (manual patterns replaced with digital patterns). Meanwhile, the weaknesses are: Internal side of the SatKer (Work Unit): the number of human resources who supervise and understand the use of Special Tools (Alsus) is limited, the special equipment, both primary and secondary, is expensive. If we look at the human resources that this country has, it should be enough to assist the Forensic Laboratory team in supervision and are people who understand the special tools that support the performance of the Forensic Laboratory. Apart from that, the government should be more respectful of the procurement of these special tools, even though not everyone has to always use these special tools. However, these tools are very useful for the smooth running of investigations and/or investigations. Because the resulting examination data is much more detailed and accurate.

Rice pest control is one of the main challenges in the agricultural sector in Indonesia. Pests such as planthoppers, stem borers, and rats can cause significant losses to crop yields. Currently, many farmers have difficulty identifying pest types and how to control them quickly and effectively. Therefore, a technological solution is needed that can detect pests directly and provide recommendations for action. This study aims to design an Android-based application that is able to detect types of rice plant pests using visual images and provide recommendations for handling. This application is designed using digital image processing methods and is supported by a large pest database. This technology is expected to be an efficient and practical solution for farmers. The research method used in developing this application is a qualitative method, involving interviews with farmers, agronomists, and data collection related to pests and their damage patterns. This application utilizes AI-based pattern recognition technology to detect pests through photos taken directly by farmers. The results of the study showed that this application was able to detect several types of major pests with an accuracy of up to 85%. In addition, this application provides recommendations for handling steps based on guidelines from the Ministry of Agriculture. The trial showed that this application can help farmers identify pests faster than manual methods. The main contribution of this research is to create a technology-based solution to agricultural problems in Indonesia, especially in the rice sector. With this application, farmers can increase their yields through early identification and proper pest management. In future implementations, this application will continue to be developed to detect additional pests and expand its database. It is hoped that this application can be an important tool in supporting smart farming in Indonesia.

One of the essential aspects of internet browsing is the existence of web browsers, software that enables users to access various websites and online resources. The objective of this study is to understand users' behavioral patterns when engaging in internet browsing activities across different digital platforms and to identify the positive and negative impacts of internet browsing on users' productivity and well-being in daily life. This study employs a qualitative descriptive method. The findings indicate that internet browsing has a significant impact on users' productivity and well-being, both positively and negatively. On the positive side, browsing can enhance work efficiency, support learning, and provide entertainment that helps reduce stress.

Academic stress is commonly experienced by university students, impacting their psychological condition and potentially affecting their eating patterns. High-intensity stress can worsen mental well-being, leading to irregular and unhealthy eating habits. Sharing is Caring is a program that provides indirect social support to stay connected and offer emotional and informational support, helping students alleviate academic stress. The program's target audience is active students from the public health faculty, particularly those in the nutrition study program. The Sharing is Caring program is conducted online, consisting of two main components: using WhatsApp as a channel to distribute posters with messages and educational content, and holding offline meetings with participants to provide education and engage in direct discussions. Participants responded positively to both the online sharing group and the offline meetings.

This research is an experiment in making otak-otak cakalang and ear mushroom as a product innovation. This researcher aims to determine; 1) the results of sensory quality including color, aroma, density, taste, and liking; 2) the content of water content, protein, fat, ash and fiber. This research is an experimental research with a factor pattern of comparison of the amount of ear mushrooms and skipjack with 3 treatments, namely (1:5), (1:3), (1:2) with sensory quality assessment by 5 trained panelists and 35 semi trained. Data analysis using Single Anova (one way). The results showed: 1)  The proportion of ear mushroom and skipjack fish affects the aroma, taste, density but has no effect on the color of otak-otak cakalang. Otak-otak cakalang made from skipjack and ear mushrooms produce cream-colored products, savory fish aroma, and have a dense density. Products that are well received by panelists are 100:200 ratio which is the amount of 100 grams of ear mushrooms and 200 grams of tuna and, 2) The nutritional content of otak-otak cakalang shows that it has a content per 100 grams of water content of 28.96%, protein 13.87%, fat 4.51%, ash content 0.31% and fiber 2.35%.

Generation Z, born approximately between 1997 and 2012, grew up in a period characterized by advancements in digital technology, globalization, and unique social pressures. This article explores the dynamics of physical and mental health among Gen Z, focusing on the challenges and opportunities they face. Physically, a sedentary lifestyle driven by reliance on technology and changes in modern dietary patterns has increased the risk of obesity and metabolic disorders. On the other hand, growing awareness of the importance of exercise and healthy living paves the way for improvement. In the context of mental health, Gen Z experiences higher levels of anxiety, depression, and stress compared to previous generations, largely due to academic pressures, social expectations, and intense exposure to social media. However, the stigma surrounding mental health is gradually diminishing, with more individuals seeking professional help. This article also highlights the importance of a holistic approach, including the integration of digital health technologies and community-based programs, in supporting the well-being of this generation. With a deeper understanding, cross-sector efforts can be made to create an environment that better supports the physical and mental health of Gen Z.

The purpose of the study is to describe Art Performances in a Series of Wedding Parties in Pondok Tinggi District, Sungai TFull City, Jambi Province. The type of research used is qualitative research with the method used is descriptive analysis. The object of this study is Art in a series of wedding parties, namely art activities in the form of joyful performances of Rentak Kudo. The research instruments or tools are the researchers themselves and are assisted by supporting instruments such as smartphone cameras, voice recorders and flash disks. The data collection techniques used are literature studies, direct observation, interviews, and documentation. The steps taken by the researcher in analyzing the data are data reduction, data display, and drawing conclusions. The results of the study show that the Art Performance at the Wedding Party is described in accordance with the conceptual framework which includes: 1) The relationship between the community of Sungai TFull City and the art performance at the wedding. 2) The relationship between the meaning of art performances based on textual, which consists of movement, expression, floor patterns, dancers, costumes, music, makeup, and performance venues with contextual, namely consisting of wedding parties, wedding processions and social values