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This research analyzes the consumption behavior patterns of the people of Blitar Regency and City in the context of national food efficiency from an Islamic economic perspective. The aim of the research is to identify people's consumption behavior patterns, the food efficiency strategies implemented, and the obstacles faced in national food efficiency efforts. The research method used is a descriptive qualitative approach with data collection techniques in the form of in-depth interviews, observation and documentation. The research results show that the consumption patterns of Blitar people tend to shift from staple food to non-food as prosperity increases. Food efficiency efforts are carried out through increasing production at low costs and optimizing income. However, there are obstacles in the form of uneven efficiency in the production to consumption chain. This study recommends increasing public awareness to avoid wasting the implementation and concept of maslahah in consumption patterns according to Islamic teachings.

The phenomenon of online loans has increased significantly in Indonesia, presenting its own challenges for the community in terms of financial management. One of the impacts of the rise of online loans is the emergence of an unhealthy debt culture, where many people are trapped in a debt pattern that is difficult to control, leading to default. This study aims to examine the role of financial literacy as an important factor in overcoming the culture of excessive debt and reducing the number of defaults on online loans. The method used in this study is a literature review that focuses on data from other relevant document sources and those that use online loan services. The results of the study show that financial literacy education can provide the community with a better understanding of financial risks and responsibilities, as well as encourage wiser behavior in making financial decisions.

The use of Artificial Neural Networks (JST) for weather prediction is one of the innovative approaches in climate data analysis. This study aims to apply JST in predicting weather, especially rainfall and the number of rainy days in the North Sumatra region. Historical weather data obtained from BMKG Region I for 2022-2023 is used as input to train the JST model. With a training process that involves processing rainfall data, this model is expected to provide accurate predictions regarding weather patterns. The results of this research can help in agricultural sector planning, disaster risk mitigation, and natural resource management. JST has proven to be effective in identifying dynamic and complex weather patterns, so it has the potential to be used in long-term weather prediction.

This study aims to The purpose of this study is to understand and describe locutionary, illocutionary, and perlocutionary speech acts in the Mappettuada tradition of the Bugis-Makassar ethnic group. The data in the study are in the form of linguistic units consisting of words, phrases, clauses, sentences of speech in the Bugis tribe's mappettuada tradition in online media (youtube). The results of the study revealed that the communication pattern of the Bugis tribe's mappettuada tradition is formed by the communication structure in a speech event between the speaker and the speech partner. The data in this study amounted to 29 data which were classified based on pragmatic theory, namely locutionary, illocutionary and perlocutionary speech acts. Locutionary speech acts were found in three forms of speech acts in the form of 2 declarative data, 2 interrogative data, and 2 imperative data. This proves that locutionary speech acts greatly influence the conversation process in the form of negotiations in determining the amount of money in the mappettu event. Illocutionary speech acts consist of 5 types, namely assertive speech acts with 4 data, directive 8 data, expressive 4 data, commissive 1 data, declarative 4 data. The assertive speech acts found consist of four forms of speech, namely mentioning, showing, informing and stating. The directive speech acts found consist of five forms of speech, namely inviting, requesting, charging, suggesting, and challenging. The expressive speech acts consist of three forms of speech, namely saying thank you, blaming and flattering. The commissive speech acts found consist of two forms of speech, namely swearing and promising. The declarative speech acts consist of four forms of speech, namely deciding, canceling, prohibiting, and granting. The most dominant speech act found in the interaction of the mappettu event is the directive speech act. In the perlocutionary speech act, data was found on two types of perlocutionary speech acts found, namely invitation speech acts and orders. In addition, there are also reactions or responses from the interlocutor when hearing the speech. The responses or reactions that arise include happiness, being more motivated, the effect of accepting the invitation, being more enthusiastic, immediately carrying out orders and so on.

The need for adequate parking space is one of the main challenges for the Muhammadiyah University Magelang Campus along with the increasing number of student and staff vehicles. The current parking facilities are not able to accommodate the volume of vehicles, especially on days with high campus activity. This condition demands an effective parking management solution to optimize the use of available land and meet future parking needs. This research aims to analyze the management of parking space requirements on the Muhammadiyah University Magelang Campus as an alternative in handling parking facilities. This study uses systematic research methods, starting from reviewing previous research, problem identification, surveys, data collection from written references, to data processing and drawing conclusions. The analysis results show that the need for vehicle parking spaces on campus is greatest on Wednesdays, with a total requirement of 1,293 SRP, while the currently available parking capacity is only 839 SRP. This indicates that the existing parking capacity is not sufficient for the needs of vehicles parked on campus. Projections for the next five years show the need for parking spaces of 1,600 SRP in 2025, 1,468 SRP in 2026, 1,462 SRP in 2027, 1,383 SRP in 2028, and 1,348 SRP in 2029. Based on these data, it can be concluded that this will happen parking shortage on campus in the next five years. As a solution, this research recommends increasing parking capacity through the construction of new parking lots by increasing the number of parking floors on campus. In particular, it is planned to build a multi-storey parking building for motorbikes and additional parking spaces for cars with a more effective and efficient 60° angle parking pattern.

This study examines the dynamics of Christian families in navigating modern lifestyles, focusing on the congregation of GKII Efata Bonet Engkabang. Modernity characterized by digitalization, high mobility, economic pressure, and shifting social values has significantly influenced family communication patterns, emotional relationships, and spiritual formation within Christian households. The purpose of this study is to describe the changes experienced by congregational families in the context of modernity and to analyze the role of pastoral counseling as a relevant form of support for family well-being. This research employed a descriptive qualitative method, collecting data through in-depth interviews, limited observations, and a review of church documents. The findings indicate that Christian families face challenges such as declining communication quality, reduced family time, the pervasive influence of gadgets on daily interactions, and weakened spiritual disciplines. Furthermore, shifting parenting patterns and increasing psychological pressure also affect family stability. Within this context, pastoral counseling in GKII Efata Bonet Engkabang plays an essential role in providing spiritual, emotional, and practical guidance through empathetic, relational, and faith-based approaches. Pastoral care has proven effective in helping families realign life priorities, strengthen communication, and cultivate sustainable spiritual practices. The implications of this study highlight the urgency of enhancing structured family support programs in the church, improving pastoral leaders’ capacity as counselors, and encouraging families to develop healthy digital discipline to maintain relational and spiritual quality amid the demands of modern life.

Reading is an interactive process where readers construct meaning from texts, relying on various skills, including comprehension. It is fundamental for learning and daily life, and its importance is underscored by the rise of information and communication technology (ICT), which facilitates access to information through tools like the internet. Online platforms, such as Wattpad, have emerged as popular resources for improving literacy among students, particularly in narrative texts. At SMPN 28 Bekasi, English is a compulsory subject, yet students face challenges in reading comprehension, especially in understanding narrative texts. Despite the implementation of the Kurikulum Merdeka, which focuses on project-based learning, many students struggle to meet reading standards. This research aims to investigate the impact of the Wattpad application on students' reading comprehension of narrative texts, given their difficulties and lack of engagement with traditional reading materials. The survey revealed mixed preferences among students, with strong leanings towards novels (45%), fiction (56%), and romance (44%). Short stories are less popular but still attract the interest of some readers. The majority of students (46.7%) use Wattpad daily, spending mostly 30-60 minutes per session. Many read 2-4 texts per month and often follow specific authors. About 60% of students use bookmarks regularly, while 66.7% prefer texts recommended by Wattpad. The note-taking feature shows mixed use, indicating varying levels of engagement. Reviews and ratings are very important to 83.3% of students when selecting texts. Students generally felt confident in following the storyline (83.3% often or always), analyzing characters (83.3%), and identifying the main conflict (83.3%). Most students apply information from texts in real life, frequently reread for clarity, and often create summaries. Overall, these findings demonstrate high engagement and understanding among Wattpad students, demonstrating their diverse reading habits and interactive use of the platform.

The Industrial Revolution 4.0 era has brought significant changes in various aspects of life, including social relations in society. Digital technologies such as social media, the internet of things (IoT), and artificial intelligence (AI) have become an integral part of human interaction. This article aims to analyze the influence of the use and implementation of digital technology on the pattern of social relations in society. This study uses a qualitative method with an in-depth literature approach. The results of the analysis show that although digital technology provides convenience in communication, there are negative impacts such as decreased face-to-face interaction and increased social isolation.

The issue of criminalizing victims of sexual violence through the use of defamation charges is gaining public attention because it is often used to silence victims who try to share their experiences. This article describes how defamation provisions in the Criminal Code and the Electronic Information and Transactions Law are often used as instruments of Strategic Lawsuits Against Public Participation (SLAPP) directed at victims, making victims even more vulnerable. The study uses a normative approach to assess the effectiveness of legal protection in the Sexual Violence Criminal Law (TPKS Law). The results of the analysis show that the TPKS Law does not explicitly include an anti-SLAPP mechanism, leaving open the possibility for the reported party to file a counter-report against the victim. Studies of the SPI, KPI, and Baiq Nuril cases show a recurring pattern, namely the use of defamation articles as a means of silencing victims and slowing down the process of exposing sexual violence. This article proposes an anti-SLAPP clause based on a progressive interpretation of the anti-revictimization principle in the TPKS Law. This proposal is reinforced by the push for the application of an early dismissal mechanism for reports that show strong indications of intimidation, so that victims receive maximum protection in the legal process.

This study aims to compare Indonesian and Malay in terms of phonology, with the cartoon series “Omar and Hana” as the research subject. Judging from the existing reality, Indonesian and Malay are two cognate languages that have many similarities, both in terms of grammar, vocabulary, and pronunciation. However, Indonesian and Malay also have differences, especially in terms of phonology. Therefore, this research tries to dig deeper into the comparison of phonology between Indonesian and Malay. The method used is descriptive qualitative with free listening and spoken involvement techniques and using writing techniques in data collection. The researcher found phonetic elements in Malay that aired on one of the themes in episode one, namely family themes. It was found that these two languages have almost similar functions of duration, stress, tone and stop in the pronunciation of vocabulary. However, there are differences, such as the sengau sound which is more distinctive in Malay. In addition, there is a change of vowel 'a' to 'ə' in some existing words that have the same meaning and arrangement pattern. This results in the existence of vocabulary whose sentences are different but the meaning is the same between Indonesian and the discovery of similar words but different meanings.

Currently, e-commerce is increasingly in demand by various business groups, both large and small scale. This is due to the ease of promotion through online media or digital marketing, which makes it easier for business people to reach consumers to introduce or sell their products. This research aims to understand the impact of using e-commerce for MSME business actors. Data was collected through semi-structured interviews with MSME players who have used e-commerce to market their products. Data from these interviews were analyzed using the *thematic analysis* method which aims to identify patterns and find themes based on the data collected (Braun and Clarke, 2006). The research results show several categories related to the use of e-commerce by MSMEs, including individual abilities, reasons for not switching to other e-commerce platforms, as well as obstacles experienced such as infrastructure, technology, promotions, and unpleasant experiences faced by MSMEs when using e-commerce. commerce.  

The synthetic unit hydrograph methods of Nakayasu, HEC-HMS (Snyder), SCS, ITB-1, and ITB-2 are used to calculate peak discharge and flood hydrograph shape in this Kadumalik Dam study. The maximum daily rainfall data analysis used the Thiessen Polygon and Arithmetic Mean methods. Of these two frequency analysis methods, the Thiessen Polygon method was chosen. Rainfall transformation into runoff using the FJ MOCK and NRECA methods has been applied in the Kadumalik Dam analysis. Compared to NRECA, the FJ MOCK method with the Thiessen Polygon method for frequency rainfall analysis provided a better performance rating with calibration values of 0.911 for R2, 0.627 for NSE, 0.606 for RSR, 18.141 for RMSE, and 30.764 for PBIAS. The validation values were 0.911 for R2, 0.661 for NSE, 0.582 for RSR, 16.086 for RMSE, and 34.420 for PBIAS. The Kadumalik Dam uses a side-channel spillway model with an ogee spillway crest type. Technically, it is planned based on the design flood discharge Q100 and controlled by discharging the flood discharge Q1000 and QPMF. The purpose of this study is to determine the hydraulic flow behavior that occurs in the numerical model based on CFD with ANSYS Fluent and CFX, along with Flow 3D in the diversion, regulation, and launching channels, to obtain the optimum design of the structures, where the flow classification is steady and transient. From the numerical analysis results, it was found that the water velocity streamline in the launch channel for Q100 with steady flow is 0.1644 – 0.2643 m.s-1, for Q1000 it is 0.2176 – 0.2869 m.s-1, and for QPMF it is 0.1592 – 0.2262 m.s-1. For transient flow, the water velocity streamline in the launch channel for Q100 is 0.1555 – 0.2250 m.s-1, for Q1000 it is 0.1541 – 0.2232 m.s-1, and for QPMF it is 0.1559 – 0.2255 m.s-1. Wet, normal, and dry hydraulic conditions are used in the analysis of the Kadumalik Dam operation pattern. The wet hydraulic condition before the reservoir had an average discharge of 25.51 m3/s, and after the reservoir, the average discharge was 26.89 m3/s, an increase of 5.125%. The normal hydraulic condition before the reservoir had an average discharge of 15.54 m3/s, and after the reservoir, the average discharge was 18.75 m3/s, an increase of 17.105%. The dry hydraulic condition before the reservoir had an average discharge of 1.74 m3/s, and after the reservoir, the average discharge was 7.97 m3/s, an increase of 78.157%.

This study aims to examine the actualization of Islamic creed (aqidah) values and work ethic among students of the Aqidah and Islamic Philosophy Department, Faculty of Ushuluddin and Islamic Studies, UIN Sumatera Utara Medan, during their internship program at the Office of Religious Affairs (KUA) of Medan Kota District. This research employs a qualitative descriptive approach using observation, interviews, and documentation techniques. The findings indicate that aqidah values such as honesty, trustworthiness, sincerity, and responsibility are manifested in administrative tasks, religious counseling activities, and public religious services. Furthermore, the Islamic work ethic of the students is reflected in discipline, professionalism, cooperation, and commitment to work quality. The integration of aqidah values and work ethic fosters a service-oriented and devotional work pattern, indicating that the internship program serves not only as practical learning but also as a medium for internalizing Islamic values within the context of public religious services.

Dengue Hemorrhagic Fever (DHF) is a disease caused by the Dengue virus and has a significant impact on public health, especially in tropical areas. Early diagnosis and prediction of DHF risk are essential to prevent complications and improve medical care. This study aims to develop a DHF risk prediction model using the Decision Tree method based on clinical symptoms and laboratory data. The data used include symptoms such as fever, joint pain, rash, and laboratory results such as platelet count and hematocrit. The Decision Tree model was chosen because of its ability to handle data with various variables and provide easy-to-understand interpretations. The research data were taken from patients diagnosed with DHF in several hospitals during a certain period. The dataset was then analyzed to find relevant patterns that could predict a high risk of DHF. The model training and testing process was carried out using cross-validation techniques to ensure prediction accuracy. The results showed that the Decision Tree model had an accuracy rate of 96.95% and consistent results from cross-validation which produced an average accuracy of 92.8%,, with good sensitivity and specificity in predicting DHF risk based on a combination of clinical symptoms and laboratory data. Factors such as low platelet count and fever symptoms lasting more than three days were found to be significant predictive variables. In conclusion, this Decision Tree model has the potential to be used as a tool in early prediction of DHF risk, which can help medical personnel in clinical decision making and patient management. Further development can be done by adding other variables such as epidemiological data to improve model performance.

This study examines the application of the hermeneutical approach in Islamic studies from the perspective of contextual Islamic Religious Education (IRE). The problem underlying this research is the dominance of textual and normative learning patterns in Islamic education that are often disconnected from contemporary social and cultural realities. The study aims to describe the hermeneutic concepts of Fazlur Rahman’s “double movement” and Hans-Georg Gadamer’s “fusion of horizons” and to analyze their relevance in developing contextual IRE. This research employs a qualitative library research method by analyzing recent scientific literature (2021–2025) from national and international journals. The findings reveal that hermeneutics provides a methodological and philosophical foundation for transforming IRE from rote-based learning into reflective, dialogical, and contextual learning. This study concludes that hermeneutics can be used as a conceptual and practical framework to strengthen the relevance of Islamic education in addressing modern challenges. However, the study’s limitation lies in its theoretical nature, so further empirical research is recommended to test the effectiveness of hermeneutic-based pedagogical models in classroom settings.

Bullying is a form of violence carried out individually or in groups by peers against someone who is physically weak or infirm with the aim of harming others and obtaining certain benefits or satisfaction. In Indonesia, data from the Indonesian Child Protection Commission (KPAI) shows that there were 369 complaints related to bullying between 2011 and 2014, with 25% of all complaints, or 1,480, coming from the education sector. Parenting patterns prevent actively and significantly engaging in bullying behavior while acting. The aim of this activity is to increase students' knowledge regarding preventing bullying with positive parenting. The results obtained from these four categories were 326 points. The findings from this activity were that all participants participated in the activity well and were able to answer the questions given. Positive parenting patterns carried out by parents will influence adolescent behavior. Family and social support play an important role in influencing bullying

The legal framework has significant potential to address cybercrime with the help of Artificial Intelligence (AI), which increases the efficiency of detecting, investigating and prosecuting increasingly sophisticated cybercriminals. This technology can perform big data analysis, pattern recognition and identification of suspicious behavior, but the legal framework needs to be updated to cover new crimes such as AI-based fraud and automated cyberattacks. The challenges in law enforcement related to the misuse of AI are quite complex, especially due to the lack of specific regulations to regulate its use in the context of cybercrime. Existing regulations often do not cover new situations, thus reducing the effectiveness of law enforcement. To overcome these challenges, legislators need to update regulations and develop ethical guidelines, while international collaboration and capacity building of law enforcement through education and training are also essential to increase the effectiveness of handling cybercrime.

Dengue Hemorrhagic Fever (DHF) is a disease caused by the Dengue virus and has a significant impact on public health, especially in tropical areas. Early diagnosis and prediction of DHF risk are essential to prevent complications and improve medical care. This study aims to develop a DHF risk prediction model using the Decision Tree method based on clinical symptoms and laboratory data. The data used include symptoms such as fever, joint pain, rash, and laboratory results such as platelet count and hematocrit. The Decision Tree model was chosen because of its ability to handle data with various variables and provide easy-to-understand interpretations. The research data were taken from patients diagnosed with DHF in several hospitals during a certain period. The dataset was then analyzed to find relevant patterns that could predict a high risk of DHF. The model training and testing process was carried out using cross-validation techniques to ensure prediction accuracy. The results showed that the Decision Tree model had an accuracy rate of 96.95% and consistent results from cross-validation which produced an average accuracy of 92.8%,, with good sensitivity and specificity in predicting DHF risk based on a combination of clinical symptoms and laboratory data. Factors such as low platelet count and fever symptoms lasting more than three days were found to be significant predictive variables. In conclusion, this Decision Tree model has the potential to be used as a tool in early prediction of DHF risk, which can help medical personnel in clinical decision making and patient management. Further development can be done by adding other variables such as epidemiological data to improve model performance.

This study examines the impact of interest rates and inflation during the 2019-2023 period on asset allocation strategies in Indonesia's investment portfolio. Investment decisions are heavily influenced by two macroeconomic components, namely interest rates and inflation. These factors mainly affect how assets comprise a portfolio. In this study, data on Bank Indonesia's benchmark interest rate and the national inflation rate over the past five years are analyzed to see the pattern of change and its impact on asset allocation strategies, which include stocks, bonds, property, and other assets. The results show that rising interest rates significantly encourage people to shift from high-risk assets (e.g. stocks) to safer assets (e.g. bonds and deposits). Meanwhile, high inflation triggers an increased allocation to physical assets such as property and gold as a hedge against declining purchasing power. This research provides insights for investors to adjust their investment portfolios based on macroeconomic dynamics, especially in the face of interest rate volatility and inflation. The findings also highlight the importance of flexibility and diversification in asset allocation strategies to achieve optimal investment objectives amid economic uncertainty. The conclusion of this study confirms the importance of understanding interest rate and inflation dynamics in formulating effective investment strategies in Indonesia. The implications of these findings can be used by investors and policymakers in designing better monetary policies and investment strategies, in order to maintain national economic stability.

Micro, Small and Medium Enterprises (MSMEs) play an important role in the economy, but often find obstacles in coping with risks and adjusting to market changes. Lack of knowledge and skills in risk management can affect the sustainability of a business, especially in the midst of increasingly complicated market changes. This community service activity aims to strengthen the ability of MSME human resources (HR) to manage risks and formulate strategies to adapt to changes in the market. This activity was carried out in Central Cikarang MSMEs using interactive training and mentoring methods. The material presented consisted of an introduction to business risks, strategies to reduce risks, and adjustment actions to changes in the market, which include aspects of technology, regulations, and consumption patterns. The method applied was a combination of theory and case analysis related to the situation of MSMEs in the area. The results of the activity showed that there was an increase in the participants' understanding and awareness of the significance of risk management to maintain business continuity. Participants also gained practical skills in recognizing risks and designing adaptation plans that are suitable for the business situation they face. Through this activity, it is hoped that MSMEs can become stronger in the face of market uncertainty and be able to grow sustainably.