Liquified Petroleum Gas (LPG) merupakan kebutuhan rumah tangga yang saat ini paling banyak dimanfaatkan oleh masyarakat sebagai bahan bakar selain minyak bumi. Apabila gas LPG mengalami kebocoran tidak dapat dideteksi apabila jarak indra penciuman cukup jauh, sehingga diperlukan sebuah sistem untuk mendeteksi terjadinya kebocoran gas yang dapat menyebabkan kebakaran melalui jarak jauh. Penelitian ini bertujuan untuk mendeteksi terjadinya kebocoran gas dan kebakaran yang dapat memberikan informasi kepada pengguna melalui pesan ke aplikasi Telegram. Metode penelitian yang digunakan adalah prototype. Hasil penelitian ini mampu merancang sistem untuk mendeteksi adanya kebocoran gas dan kebakaran menggunakan NodeMCU ESP8266 berbasis IoT, dimana alat ini dapat memberikan tanda peringatan berupa nyala lampu LED, suara alarm dari buzzer, menampilkan keadaan melalui LCD, dan menerima notifikasi peringatan ke Telegram.

Di Lombok Barat, banyak peternak mengalami kesulitan karena minimnya lahan untuk menggembalakan ternak akibat konversi lahan menjadi perumahan dan area industri. Dalam situasi ini, peternak mungkin lupa atau tidak tepat waktu dalam memberikan pakan, serta menghadapi kesulitan dalam mencari rumput. Sebagai solusinya, dikembangkanlah sistem pemberian pakan pelet otomatis untuk sapi yang berbasis Internet of Things (IoT). Metode yang diterapkan dalam pengembangan sistem ini adalah metode prototype. Hasil penelitian menunjukkan bahwa sistem pemberian pakan otomatis berbasis IoT berfungsi dengan baik sesuai dengan komponen yang digunakan. Sistem ini memanfaatkan servo, sensor ultrasonik, sensor RTC, dan dilengkapi dengan LCD untuk menampilkan informasi mengenai sisa pakan dan status pakan (on atau off).

This study is based on the low mathematics achievement scores in fractions obtained by students and previous research findings that show inconsistent results regarding the relationship between emotional intelligence, self-efficacy, learning independence, and learning outcomes. Learning outcomes are influenced by both internal and external factors. The internal factors include emotional intelligence, self-efficacy, and learning independence, while the external factor is the role of the teacher leadership. The purpose of this study is to examine the effect of emotional intelligence, self-efficacy, and learning independence on students' learning outcomes and to test the effect of emotional intelligence, self-efficacy, and learning independence on mathematics achievement in fractions through the role of the teacher leadership as a moderating variable.
The population in this study consists of fourth-grade students from 4 elementary schools in Pangkah sub-district that have a teacher leadership in their institution, with a sample size of 100 respondents using purposive sampling. Data collection was carried out by distributing questionnaires and documentation. The data analysis technique used is moderation regression analysis with a significance level of 5%.
The results of the study show that emotional intelligence has a positive and significant effect on mathematics learning outcomes, with a t-value of 3.302 and p = 0.001, which is smaller than 0.05. Self-confidence also has a positive and significant effect on mathematics learning outcomes, with a t-value of 3.268 and p = 0.002. Since p < 0.05, learning independence has a positive and significant effect on learning outcomes with a t-value of 2.096 and p = 0.039. The role of the teacher leadership has a positive effect on learning outcomes, with a t-value of 2.572 and p = 0.012, which is smaller than 0.05. The results of the moderation regression analysis show that emotional intelligence has a positive and significant effect on mathematics achievement in fractions through the moderating variable of the teacher leadership with a t-value of 2.880 and p = 0.005, p < 0.05. self-efficacy also affects mathematics learning outcomes through the teacher's leadership role as a moderating variable with a t-value of 3.028 and p = 0.003, and learning independence affects mathematics learning outcomes through the teacher’s leadership role as a moderating variable with a t-value of 2.496 and p = 0.014, p < 0.05.
Based on the research findings, it can be concluded that emotional intelligence, self-efficacy, and learning independence have a positive and significant direct effect on mathematics learning outcomes in fractions. Furthermore, with the role of the teacher as a change agent, emotional intelligence, self-confidence, and learning independence significantly influence mathematics learning outcomes in fractions.

This research aims to determine marketing strategies through SWOT analysis with a focus on segmentation, market position, targeting and marketing mix, which aims to increase consumer buying interest at Restaurant Garuda. The research results show that Restaurant Garuda implements various marketing mix strategies that influence the SWOT analysis, placing it in quadrant I (SO quadrant). This indicates a successful implementation of the odds and profits strategy, although with a slight difference of 2.4:2.95. Garuda Restaurant emphasizes the aspects of price, product, location and physical form of the building as the main factors that stimulate consumers' buying interest to try and remain loyal to their products. To maintain and increase consumer buying interest, it is recommended that Restaurant Garuda adopt product development strategies, improve brand image and maintain price stability. By implementing these strategies, it is hoped that Restaurant Garuda can maintain and increase their market share and customer satisfaction.

The increasingly rapid development of technology has spread to every aspect of life, making people have to be technologically literate. At MTS Sunan Kalijaga Bawang, students carry out activities to gain knowledge and other activities. The students' parents provide them with food, drinks or money to shop in the school canteen. However, problems arise when eating and drinking are done outside the canteen zone. Observation results show that some students who eat and drink during breaks still throw away rubbish not in the places provided. The reason is that they are afraid that their hands will get dirty when opening the lid of the trash can, so they are reluctant to throw the trash where it is intended, resulting in the trash being scattered around.
To overcome this problem, this research focuses on designing smart trash cans that can attract the interest of the public and MTS Sunan Kalijaga Bawang students to throw trash in the right place. This project uses the Arduino Uno platform to simplify and increase environmental awareness. Thus, the aim of this research is to create a more efficient and environmentally friendly waste processing system in schools.

The COVID-19 pandemic severely impacted Indonesia, leading to substantial socio-economic disruptions and widespread social anxiety. In response, the government implemented a range of measures, including restrictions and mandatory health protocols, to control the virus. Although the pandemic is officially declared over, the risk of infection remains. Therefore, continued adherence to health protocols is essential. This study aimed to identify the key factors driving public compliance with health protocols in the post-pandemic period within Indonesia, providing valuable insights for policymakers to prevent future outbreaks. The findings revealed that knowledge emerged as the most significant determinant of community adherence to ongoing health protocol implementation. Consequently, the government must consistently emphasize the importance of adhering to health protocols whenever individuals are outside their homes.

This systematic review examines the effectiveness of antenatal classes in improving pregnant women's attitudes towards stunting prevention. The review analyzed 28 studies published between 2018 and 2023, focusing on developing countries, particularly in Southeast Asia. The methodology followed PRISMA guidelines, utilizing multiple academic databases. The analysis revealed that structured antenatal classes significantly improved maternal knowledge about stunting (68% increase in knowledge scores) and led to positive behavioral changes in nutritional practices. Regular attendance at comprehensive antenatal classes was associated with better pregnancy outcomes, with participants showing 75% higher rates of implementing recommended nutritional guidelines. Key success factors included regular class frequency, interactive teaching methods, cultural sensitivity, and strong community support. However, significant challenges were identified, including resource limitations, access barriers, and cultural resistance. The review highlighted successful adaptations such as hybrid learning models and community-based approaches. Recommendations include strengthening program design through evidence-based approaches, enhancing community engagement, developing sustainable funding mechanisms, and implementing robust monitoring systems. This review underscores the vital role of antenatal classes in stunting prevention while emphasizing the need for continued research to address existing challenges and enhance program effectiveness across diverse settings.

The learning model based on movement coordination is believed to improve the basic skills of volleyball more optimally. Therefore, a literature review is needed to analyze the effectiveness of the movement coordination learning model in improving the basic technique of volleyball. This study aims to examine and analyze various models of movement coordination learning that have been applied in volleyball training and their impact on improving players' basic techniques. This study uses a literature review method by analyzing various journals, books, and scientific articles that discuss the learning model of movement coordination in sports, especially volleyball. The sources of literature used come from relevant research in the last 10 years. The analysis was carried out by reviewing the effectiveness of the movement coordination learning model on the development of basic techniques of volleyball players. Based on the literature review conducted, it was found that the learning model based on movement coordination had a positive impact on improving the basic techniques of volleyball. This model is able to improve motor skills, balance, and player response speed in match situations. In addition, this learning approach also supports the improvement of tactical understanding and game strategy through more varied and dynamic exercises. The movement coordination learning model has proven to be effective in improving the basic technique of volleyball. With the right application, this model can help players in developing technical and motor skills more optimally. Therefore, sports coaches and educators are advised to integrate this model in training programs to improve the quality of volleyball learning.

Capital markets play a strategic role in the global economy; however, high volatility often poses challenges for investors in making optimal investment decisions. Stock price prediction has become one of the key elements in effective portfolio management, but the complexity of market data demands more advanced analytical approaches. This study aims to explore the potential of Long Short-Term Memory (LSTM) models in predicting stock price movements and integrating these predictions into portfolio optimization strategies based on modern portfolio theory. The research methodology utilizes historical stock data from the S&P 500 and IDX Composite indices with daily frequency. The LSTM model is compared with Recurrent Neural Networks (RNN), Support Vector Machines (SVM), and Artificial Neural Networks (ANN) using metrics such as Mean Squared Error (MSE), Root Mean Squared Error (RMSE), and accuracy. The LSTM model demonstrated superior performance with an MSE of 0.0018, RMSE of 0.042, and prediction accuracy of 91.5%, significantly outperforming RNN (87.3%), SVM (80.2%), and ANN (82.7%). The prediction results were then integrated into portfolio optimization using the Mean-Variance Optimization approach, resulting in an increase in expected returns from 8.5% to 12.3%, a reduction in risk from 6.2% to 5.8%, and an improvement in the Sharpe ratio from 1.37 to 2.12. This study demonstrates that the LSTM model not only excels in stock price prediction accuracy but also contributes significantly to enhancing portfolio management efficiency. This Deep Learning-based approach offers a more adaptive, data-driven investment strategy, supporting more informed decision-making in the dynamic capital market

Inappropriate learning models and lack of student interest and attention to physics learning result in unsatisfactory learning outcomes. The purpose of the study was to determine how the effect of Cooperative Learning model type Student Team Achievement Division (STAD) on student learning outcomes. The research method used is meta-analysis, data collection for this research by reviewing and browsing online articles. The results of the study found that the Student Team Achievement Division (STAD) type Cooperative learning model obtained an overall average effect size of 1.61, which means that the STAD type Cooperative learning model can influence student learning outcomes in Physics subjects. Learning material that is very influential in the application of the STAD type is Circular Motion as seen from the effect size value which is in the high category with a value of 8.81. The grade level that obtained a high category in applying the Student Team Achievement Division (STAD) type learning model was SMK class X with an effect size value of 2.2.