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This study aims to design a smart home system leveraging the Internet of Things (IoT) concept by utilizing the Wemos D1 microcontroller combined with fuzzy logic to improve home energy management and safety. The hardware development process involves integrating a PIR sensor for motion detection, a DHT11 sensor for measuring temperature and humidity, and actuators including relays for lighting and a solenoid lock for doors. The system is operated remotely using the Blynk platform and supports notification alerts through Telegram. Testing results confirm that the prototype is capable of controlling devices, tracking environmental data in real time, and effectively sending alerts when movement is detected. Overall, the system presents a practical, responsive, and user-friendly smart home solution that enhances user convenience and household security.

This study aims to develop teaching materials based on the TESMER approach on algebra material to improve the quality of mathematics learning at the junior high school level. TESMER as a development model is designed to bridge learning theory with classroom learning practices through systematic stages, namely the analysis, design, formative experiments, and retrospective reflection stages. The algebra material focused on includes algebraic forms, algebraic operations, and simple problem solving. This study uses a design research approach by involving teachers and students in the development process. The results of expert validation show that the teaching materials are included in the very valid category, with high assessments in the aspects of content integration, presentation, and language. Limited trials show that the teaching materials are practical to use by teachers and are liked by students. In addition, there was a significant increase in students' conceptual understanding and logical thinking skills after using the teaching materials. These findings recommend the TESMER approach as an effective framework in developing contextual algebra learning devices that are oriented towards meaningful learning.

Scratch is a block-based visual programming language that is very suitable for beginners to create animations, games, and interactive stories. This community service program (PKM) aims to introduce interactive story making to students of MTs Pembangunan Nurul Islam. Activities are carried out through training, mentoring, and direct practice with a creative and fun approach. The results of the activities show an increase in student interest and creativity in using Scratch as a medium for digital expression. Interactive stories have also proven effective in fostering digital literacy, logical thinking, and problem-solving skills.

Scratch is a block-based visual programming language that is very suitable for beginners to create animations, games, and interactive stories. This community service program (PKM) aims to introduce interactive story making to students of MTs Pembangunan Nurul Islam. Activities are carried out through training, mentoring, and direct practice with a creative and fun approach. The results of the activities show an increase in student interest and creativity in using Scratch as a medium for digital expression. Interactive stories have also proven effective in fostering digital literacy, logical thinking, and problem-solving skills.

The principle of legality is a legal principle that states that every act may only be subject to sanctions if it has been stipulated in the legislation before the criminal act is committed. The research aims to analyze the necessity of a law before a criminal event occurs; analyze the assessment of an act that is not analogous; analyze the need for the principle of legality to protect individuals from arbitrary actions by judicial officers. The research method is the normative legal method, by adopting conventions, legislation, law books, journals, articles, the internet. Furthermore, comprehensively reviewing the literature so that maximum results are obtained. The results of the research, law enforcement that is fair, pure and consistent is still difficult to achieve considering that many officers still do not fully understand the meaning of the principle of legality so that they often make mistakes in considering imposing criminal sanctions, and often their decisions exceed their authority. Human rights are inherent rights in individuals, so individuals should get their rights. Protection of individual rights is mandated in the 1945 Constitution Article 28G paragraph (1) Article 28H paragraph (1). Legal certainty is a vital element in building an honest and fair legal strategy. It is expected that when laws are created, they should be in accordance with a systematic, democratic mechanism based on empirical observation results, so that errors in the application of the law can be minimized. Thus, all people get legal certainty where their rights are protected and maintained, on the other hand, each individual is aware not to do prohibited acts because every action has logical and firm consequences.  

Thyroid cancer is the most common endocrine malignancy, with a steadily increasing incidence rate. Although the overall survival rate is relatively high, the risk of recurrence after definitive treatment such as Radioactive Iodine (RAI) therapy remains a significant clinical challenge. Predicting recurrence risk is crucial for optimizing monitoring strategies and interventions. With advances in technology, machine learning (ML) approaches are increasingly utilized to support medical predictions, including the recurrence of thyroid cancer. This study aims to evaluate the performance of four classification algorithms—Logistic Regression, XGBClassifier, Random Forest Classifier, and Voting Classifier—in predicting thyroid cancer recurrence using the Thyroid Cancer Recurrence After RAI Therapy dataset, which consists of 383 patient records and 13 key clinical attributes. The evaluation was conducted using accuracy, precision, recall, F1-score, and area under the curve (AUC) metrics. The results show that the XGBClassifier is the best-performing model with an accuracy of 97.4% and an AUC of 0.95, demonstrating superior performance in handling the minority class. This research is expected to contribute to the development of more effective machine learning–based clinical decision support systems for predicting thyroid cancer recurrence after therapy.

Deconstruction was introduced by a French philosopher born in Algeria, Jacques Derrida. This theory challenges the centralized and rounded mode of meaning as might be desired by the text or which is deliberately made clear by the logical relationship of the text. The “unspeakable” power of the text is the logic that is trivialized or underestimated as a secondary meaning that at times endangers the structure of the text or produces ambiguous paradoxes, which will erode the reader. Deconstruction aims to dismantle the Western metaphysical tradition such as Husserlin's phenomenology, Saussurean structuralism, structuralism. Derrida's deconstruction method is better known as metaphorical deconstruction. Metaphor here is not understood as an aspect of the expressive function of language but as an essential condition of speech. Metaphor represents one way of constructing discourse and strongly influences the understanding of various texts. Deconstruction is carried out on metaphorical texts composed by the author. Deconstruction can occur in the text itself or vice versa, we who deconstruct a text. In conclusion, deconstruction can be applied in everyday life by recognizing that other people's views on a topic and perspective may have different meanings from ours.

This study examines the application of big data analytics on Bhinneka.com, a leading e-commerce platform in Indonesia, to tackle the increasing in complexity of online user behavior in a swiftly changing digital environment. The primary issue is too challenges in evaluating extensive, unstructured, and heterogeneous user data, which obstructs personalization, marketing efficacy, and operational decision-making. The study seeks to assess the efficacy of big data instruments, specifically Artificial Intelligence Recommendation (AIRec) and Customer Data Platform (CDP), in improving user behavior forecasting. Service customization, and data-informed strategies. This study utilizes a qualitative case study methodology, including literature review and platform observation, to synthesis the many forms of big data analytics (descriptive, diagnostic, predictive, and prescriptive) and their implementation at Bhinneka.com. Significant findings indicate that the integration of AIRec and CDP has augmented the platform’s capacity to predict consumer preferences, improve marketing accuracy, and optimize logistics. However, obstacles stay the same, such as disjointed data systems, data quality concerns, and internal opposition to embracing a data-driven culture. The study suggests that although big data analytics substantially enhances Bhinneka.com’s digital competitiveness, ongoing investment in data infrastructure and organizational competence is crucial to fully harness its potential and preserve a competitive advantage in Indonesia’s e-commerce market.

This article explores the dynamics of Islamic educational thought through the perspective of three influential figures: Al-Ghazali, Ikhwan al-Shafa, and Ibn Khaldun. Al-Ghazali, representing the conservative school, emphasizes education as a process of character building and drawing closer to Allah. Ikhwan al-Shafa, with their rational-religious school, emphasizes the importance of logic, observation, and dialectics in acquiring knowledge. Ibn Khaldun, as a representative of the pragmatic school, emphasizes education that is oriented towards social contribution and based on reality. This article analyzes the fundamental differences and contemporary relevance of these three schools, showing that an ideal Islamic education is one that can unite the three schools within the framework of an adaptive and responsive curriculum.

The problem of the legality of the agreement of the deed of debt and credit agreement into buying and selling requires legal certainty so that no one is harmed. Normative legal certainty is when a regulation is made and promulgated with certainty because it regulates clearly and logically. Clear in the sense that it does not cause doubt (multi-interpretation) and logical in the sense that it becomes a system of norms with other norms so that it does not clash or cause norm conflicts. Norm conflict arising from rule uncertainty can take the form of norm contestation, norm reduction or norm distortion. This research approach is descriptive analytical which describes legal events that occur as they are and conveys these conditions according to theory and legislation. The research method used in the research is empirical juridical which analyzes the Bandung District Court Decision Number: 162/PDT.G/2021/PN.BDG regarding the Legality of the Deed of Sale and Purchase Agreement as Collateral for Debt and Credit Due to Legal Defects. The results of this study show that; AJB, which should be a proof of transfer of land rights in a real sale and purchase transaction, in this case is used to guarantee debt repayment. This is a deviation from the function of the AJB, which is legally unjustified because it contradicts the principle of halal causa (Articles 1335 and 1337 of the Civil Code). Therefore, the AJB made does not meet the elements of a valid causa, and therefore can be canceled or even null and void.

Most people do not know the legal basis for resolving traffic accidents that result in death through restorative justice (peaceful, family). Such a wrong public perception will cause great harm to the government's efforts to develop in the legal field, among other things, it can raise confusing questions. This study is a contribution of researchers' thoughts to participate in solving one of the legal problems that have long occurred in society. The research used is juridical-sociological or empirical research with a legal research approach. This research is an in-depth interview. The data collected are verbal and nonverbal. The conversation is recorded in a notebook or recorded with a tape recorder. The data is processed, analyzed and interpreted in a juridical-descriptive manner to explain or describe the data obtained by providing a logical interpretation and confirmed by the opinions of experts. The results of the study indicate that the causal factors or reasons for peaceful resolution or restorative justice of traffic accident cases resulting in fatalities at the Kupang City Police Resort are public legal awareness, public tendency to prioritize peace and family, and police discretionary authority. The practice of restorative justice resolution of traffic accident cases resulting in fatalities is carried out through the stages of the Approach Stage, Mediation Stage, Agreement Making Stage, Agreement Implementation Stage, and Completion and Case Closed Management.

The rapid development of e-commerce in Indonesia has a significant impact on the growth of the digital economy, but also presents major challenges related to environmental sustainability. This study aims to evaluate the environmental impacts caused by e-commerce activities, especially in terms of increasing plastic waste from single-use packaging, carbon emissions in logistics activities, and energy consumption from data centers. Through a literature study and descriptive analysis approach, this study highlights the large contribution of the e-commerce sector to the volume of domestic waste and the need for effective mitigation strategies. In addition to identifying existing challenges, this study also explores various sustainable practices, such as the use of environmentally friendly packaging, consumer education, and the development of low-emission logistics systems. The results of the study indicate that sustainability in e-commerce can only be achieved through collaboration between the government, business actors, and the community. Strict regulations, technological innovation, and increased consumer awareness are needed so that e-commerce can develop in line with the principles of environmental sustainability.    

Mathematics plays a crucial role in everyday life, as it enhances students' abilities to absorb lessons more effectively and develop rational, critical, logical, analytical, and systematic thinking. This study employs the literature review method, which involves gathering relevant information from various sources to support the research topic. The author collects references from articles and journals using Google Scholar, an open-access database that simplifies the process of locating topic-specific materials. Difficulties faced by students in learning mathematics are not always due to a lack of mathematical knowledge. They may stem from other issues such as memory problems, difficulty in recalling mathematical problems, weak calculation skills, confusion with operational signs, or reversing numbers. Students with learning disabilities may particularly struggle with both mathematical reasoning and basic computation. Furthermore, mathematical learning difficulties are also associated with cognitive challenges, such as solving complex word problems and understanding numerical concepts. These learning difficulties often result from internal and external factors that hinder the brain’s ability to process, analyze, and retain mathematical information effectively.

This study aims to analyze the abilities and challenges of grade IV elementary school students in writing argumentative sentences. The research was conducted with a qualitative approach of case study methods on ten students in one of the public elementary schools in Jambi City. Data were obtained through an argumentative sentence writing test and analyzed using the Miles and Huberman model which includes data reduction, data presentation, and verification. The results of the study show that students' ability to write argumentative sentences still varies. Most of the students have been able to convey their opinions in a concise and relevant manner, but there are still obstacles in the mechanical aspects of writing such as the use of spelling, punctuation, and sentence structure. These findings show the need for a learning strategy that can develop argumentative writing skills systematically and logically. Toulmin's pattern-based approach and collaborative learning models such as Group Investigation are recommended to improve students' overall argumentative writing skills from the elementary school level.

This study aims to analyze the abilities and challenges of grade IV elementary school students in writing argumentative sentences. The research was conducted with a qualitative approach of case study methods on ten students in one of the public elementary schools in Jambi City. Data were obtained through an argumentative sentence writing test and analyzed using the Miles and Huberman model which includes data reduction, data presentation, and verification. The results of the study show that students' ability to write argumentative sentences still varies. Most of the students have been able to convey their opinions in a concise and relevant manner, but there are still obstacles in the mechanical aspects of writing such as the use of spelling, punctuation, and sentence structure. These findings show the need for a learning strategy that can develop argumentative writing skills systematically and logically. Toulmin's pattern-based approach and collaborative learning models such as Group Investigation are recommended to improve students' overall argumentative writing skills from the elementary school level.

This study aims to analyze the effect of port integration of PT Berlian Manyar Sejahtera with JIIPE Industrial Estate on logistics distribution efficiency. The background is the existence of distribution costs in Indonesia, which are relatively expensive. The integration of ports with industrial estates and other factors could cut distribution costs. The purpose of this research is to find out how many percent of the influence of proximity distance for distribution costs and also the time in the distribution process. In this research, a quantitative methods is used which is assisted by a software, namely SPSS version 27. Data collection techniques were carried out by interviews, documentation, and literature study. The data used includes the distance from the port to the warehouse receiving goods, distribution rates, and the length of time in the loading and unloading process. The results of the analysis show that there is an influence between distance, costs, and tariffs in the distribution process. And how this integration is significantly beneficial for service users

This study explores the psychosocial determinants influencing postpartum contraception selection through a comprehensive approach. A cross-sectional study was conducted on 120 respondents in Bogor Regency, using purposive sampling via Google Forms. Research instruments included the Knowledge Questionnaire on Postpartum Contraception (KQPC) and Multidimensional Health Locus of Control (MHLC) to analyze factors influencing contraception decisions. Research findings demonstrate that knowledge levels, locus of control, economic status, and education significantly impact contraception method selection. Respondents with high knowledge were more likely to choose modern contraception methods (78.3%), while those with low knowledge preferred traditional methods (45.8%). Logistic regression analysis revealed that contraception knowledge contributed most significantly with an odds ratio of 2.512. The study emphasizes the need for personalized approaches in contraception counseling, considering biological, psychological, social, and economic factors. Key recommendations include developing comprehensive educational programs, professional health training, and designing reproductive health policies responsive to individual needs.  

This research analyzes user sentiment reviews of the KAI Access application from Google Play Store to improve customer service at PT Kereta Api Indonesia. The study uses a Natural Language Processing (NLP) approach with the Latent Dirichlet Allocation (LDA) algorithm to extract main topics from 10,000 reviews collected from April 2024 to April 2025. Analysis results show 40.7% positive sentiment reviews and 49.3% negative. After data preprocessing through case folding, normalization, tokenization, stopword removal, and stemming, seven optimum topics were found from negative sentiment with a coherence score of 0.508343 and two optimum topics from positive sentiment with a coherence score of 0.511673. Analysis based on five service quality dimensions (tangibles, reliability, responsiveness, assurance, and empathy) reveals that the reliability dimension becomes the main issue, including system instability, transaction failures, login difficulties, and data inaccuracy. The responsiveness dimension is the second priority, with users expecting fast and responsive service to complaints. The results of this study provide recommendations for PT KAI to prioritize improvements in system reliability and responsiveness aspects to enhance the overall user experience, which will ultimately impact customer satisfaction and loyalty.    

This study aims to examine the role of play in supporting cognitive, language, and mathematical development in early childhood. Play, often considered a recreational activity, has a significant impact on developing various essential skills in children. This research uses a qualitative approach with a literature review, analyzing various sources regarding the effects of different types of play, such as role play, constructive play, and social cognitive play, on children's development. The main findings show that role play enhances language competence, while constructive play and social cognitive play contribute to the development of children's mathematical and logical skills. This study emphasizes that various types of play can enrich children's learning experiences, supporting their cognitive and social development. The results of this study affirm that play is crucial for the cognitive, language, and mathematical development of young children. Various types of play, such as constructive (puzzle building), social cognitive (cooperation), and role play (pretend play), significantly support children's thinking, learning, motor, social, and language skills.

Stunting is a condition of growth failure in toddlers due to chronic malnutrition that occurs over a long period of time, especially in the first 1,000 days of life. Several major risk factors for stunting that are often found in Posyandu include the nutritional status of pregnant women, parenting patterns, exclusive breastfeeding, and environmental sanitation. To analyze the Identification of Risk Factors for Stunting in Toddlers: A Study in the Working Area of ​​the Aek Godang Health Center, North Padang Lawas. The type of observational study with a cross-sectional design, the study population was 139 people. This study used samples from all mothers who had stunted toddlers in Hulu Sihapas District, North Padang Lawas Regency, with the total sampling method. Data collection used a research questionnaire. Data were analyzed univariately, bivariate (chi-square), and multivariate (logistic regression) with the enter method. Newborn weight (p = 0.001) and healthy toilets (p = 0.001) significantly influenced the risk of stunting, with low birth weight and poor sanitation increasing the risk of growth disorders in toddlers. This study shows that newborn weight (p = 0.001) and healthy toilets (p = 0.001) have a significant effect on the risk of stunting in toddlers. Babies with low birth weight and environments with poor sanitation increase the likelihood of stunting. More attention is needed to monitor newborn weight and increase access to healthy latrines to reduce the prevalence of stunting. The government and health workers are expected to strengthen nutrition and sanitation programs at the community level.