This research aims to map the strategies used by teachers in fostering noble morals in students at Negeri 74 Bandung Junior High School, especially to overcome the problem of juvenile delinquency which often occurs. This research approach is qualitative using the case study method. Data collection techniques used include observation, in-depth interviews, and documentation analysis. Primary data was obtained through interviews with teachers and related parties, while secondary data was collected from various relevant literature. To analyze the data, this research applies steps such as data reduction, data presentation, drawing conclusions, and verification which ensures the validity of the findings. The data validation technique used is triangulation. The results of this research show that the moral development strategies implemented in schools include: The five-minute movement program for reading the Al-Qur'an before studying, extracurricular reading and writing of the Al-Qur'an, the habit of doing dhuha prayers in congregation, express Islamic boarding schools, Islamic studies, connecting lesson material with good morals, as well as providing rewards and coaching. The strategies through these programs are quite effective in dealing with various forms of student delinquency. These findings highlight the importance of the proactive role of teachers and close collaboration between schools and parents in creating an educational environment that is conducive to the development of better student morals

Memeliahara kucing merupakan hal yang sangat digemari, namun tidaklah mudah untuk memonitoring penyimpanan pakan dan  minum kucing secara real-time, dalam hal ini para pemelihara memerlukan sistem  yang dapat memonitoring kondisi pakan dan minum kucing mereka tanpa harus berada dirumah. Pada penelitian ini menggunakan Metode Prototype untuk mengembangkan sistem. Hasil penelitian menunjukkan bahwa sistem ini bekerja secara otomatis menggunakan RTC untuk penjadwalan waktu pemberian pakan, Sensor Load Cell sebagai alat untuk menimbang berat pakan yang akan dibaca oleh servo untuk menarik tali pintu penampung pakan dan Sensor Water Level untuk mengukur  ketinggian air. Kemudian data pada kedua sensor tersebut akan di tampilkan pada aplikasi telegram untuk mengetahui kondisi dari wadah pakan dan minum kucing.

This study aims to examine the latest developments in the application of machine learning, software, applications, and websites in language teaching. With the advancement of technology, language learning is increasingly facilitated by the use of digital tools that utilize artificial intelligence (AI) and machine learning to improve the learning experience in an adaptive and interactive manner. The study reviewed a variety of platforms that use this technology, including key features that support personalization, automated feedback, and student performance assessments. In addition, this study discusses the effectiveness of the technology in supporting independent and formal learning in the classroom, including implementation challenges in various educational settings. It was found that although this technology provides a great opportunity in accelerating language learning, there are some limitations, such as limited access in regions with low digital infrastructure, as well as lack of integration with relevant cultural and social contexts in language learning. This study concludes that machine learning-based technology in language teaching has great potential, but further research is needed to optimize its application in various educational contexts.
 
 

Durian is one of the leading fruit commodities with high economic value in various tropical regions, including Indonesia. However, the durian cultivation process often faces challenges related to unstable environmental conditions, such as temperature fluctuations, soil moisture, and nutritional deficiencies which can affect the level of plant fertility and the quality of the fruit produced. Therefore, an effective and efficient monitoring system is needed to optimize durian plant care. This research aims to develop a fertility monitoring system for durian trees using Internet of Things (IoT) technology which can help farmers manage the environmental conditions of plants in real-time. The designed system uses various sensors, such as soil moisture sensors, air temperature and humidity sensors, light intensity sensors, and soil nutrient sensors, to collect relevant environmental data. The data obtained from these sensors is then processed by a microcontroller and sent via the IoT network to a cloud-based storage platform. The trial results show that this system can monitor environmental conditions with high accuracy and provide appropriate maintenance recommendations, thereby increasing efficiency in managing durian plants.

This research aims to: Provide assistance to the children of the Rumah Yoel Community to build entrepreneurial skills using the main materials of beads and string which are cheap and easy to obtain. Building children's mindset to become independent, creative and highly competitive individuals in society. This research uses descriptive qualitative methods. The research subjects were the children of the Rumah Yoel Community. The training participants were 16 children in the Rumah Yoel Community. The meeting took place over three meetings with stages, 1) observation and interviews with the Rumah Yoel Community administrators, 2) observation and interviews with the children with the assistance of Rumah Yoel Community teachers, 3) skills training for the Rumah Yoel Community children. Training is evaluated using the results of service video comments, pretest and posttest. Results of the service: 1) researchers were able to train children's skills in making crafts through creativity using the main materials of beads and rope so that children were able to make key chains, bracelets, headbands and rings. Second; 2) researchers invite children to use packaging for their work so that it has economic value. 3) Researchers are able to invite children to take part in activities according to the procedures directed in making works using practical methods. 4) researchers provide skills for the children of the Rumah Yoel community because by training them to be creative with beads it can motivate them to become entrepreneurs from an early age to help their parents.

Kebakaran adalah bencana paling umum di Indonesia yang terjadi di rumah-rumah. Dalam beberapa situasi, pemilik rumah mungkin tidak menyadari kebakaran. Salah satu contohnya adalah jika kebakaran terjadi pada saat pemilik rumah tidak berada di rumah. Untuk menyelesaikan masalah ini, diperlukan sistem yang dapat memberi tahu pemilik rumah tentang gejala dini kebakaran. Selanjutnya, sistem pendeteksi kebakaran dini berbasis IoT dibangun dengan menggunakan bot WhatsApp untuk memberikan informasi. Metode prototipe digunakan untuk mengembangkan sistem. Hasil penelitian menunjukkan bahwa sistem deteksi kebakaran rumah yang menggunakan notifikasi WhatsApp berbasis IoT bekerja dengan baik dengan bagian yang digunakan. Sistem ini menggunakan sensor gas dan api untuk mendeteksi potensi kebakaran, dilengkapi dengan buzzer sebagai alarm suara dan fitur water pump untuk penanganan awal. Selain itu, sistem ini mengirimkan notifikasi otomatis melalui WhatsApp saat kondisi berbahaya terdeteksi.

MSMEs are productive economic businesses run by individuals or small business entities to grow and develop their businesses in order to build the economy, so that MSMEs become the most important pillars in the Indonesian economy. The large number of competitors in the business world requires entrepreneurs to find strategies that can increase the sales cycle and fulfill the number of requests. Solusi Cash & Kredit is a company engaged in cash and credit sales of smartphones, furniture, and electronics. According to the owner of Solusi Cash & Kredit, Vivo smartphones are one of the best-selling brands on the market. The phenomenon that occurred in the company during August 2023 to June 2024 was the occurrence of fluctuations or instability in product sales levels. The purpose of this study was to determine the results of the comparison of sales forecasting with the Exponential Smoothingi and Least Square methods. The results obtained were that the exponential smoothing alpha 0.3 method had a MAPE value of 18.27% with a forecast value for the next period of 34 units per month. Alpha 0.5 had a MAPE value of 14.74% with a forecast value for the next period of 36 units per month. Alpha 0.7 had a MAPE value of 12.64% with a forecast value for the next period of 36 units per month. Alpha 0.9 had a MAPE value of 11.7% with a forecast value for the next period of 37 units per month. The least square method had a MAPE value of 7.2% with a forecast value for the next period of 41 units per month.

This research examines the implementation of legal protection for healthcare workers serving in remote areas, with a case study in Kapuas Hulu Regency. The main focus of the study is to analyze the effectiveness of existing legal protections and identify factors hindering their implementation. Through a qualitative approach using case study methods, this research reveals a significant gap between existing regulations and practices in the field. The case of Dr. I serves as a concrete example of weak legal protection, ranging from transfers without adequate consideration to eviction from official residences. Identified inhibiting factors include lack of understanding among local officials, weak inter-agency coordination, and discrepancies between central policies and local implementation. This study recommends the need for comprehensive reform in the legal protection system for healthcare workers in remote areas, including capacity building for local officials and strengthening oversight mechanisms.
 
 

This research aims to analyze the significance of the influence of taste, price and promotion on purchasing decisions at Burjo Bro, Surakarta city. The types of data used are quantitative data and qualitative data. The data source in this research is primary data using a questionnaire distributed to respondents. The population in this research are all Burjo Bro consumers in Surakarta. The sampling method is purposive sampling or sampling with certain characteristics with a sample size of 100 people. The data analysis methods used are descriptive analysis, multiple linear regression analysis, t test, F test, and coefficient of determination test (R2). The results of this research using multiple linear regression analysis show that taste, price and promotion have a significant influence on purchasing decisions at Burjo Bro. The results of the F test calculation have an F count of 77.921 with a p-value of 0.000 < 0.05, so Ho is rejected and Ha is accepted, meaning the model is correct. The coefficient of determination (R2) for this model is 0.700, meaning that the contribution of the independent influence (taste), X2 (price) and X3 (promotion) to Y (purchasing decision) is 42.2%.

The need for efficient, economical, and environmentally friendly animal feed in Indonesia, especially for small and medium-scale farmers, requires innovative solutions. This community service program aims to optimize the production and marketing of maggot as an alternative animal feed through the empowerment of MSMEs at TPS3R Ngudi Lestari. A participatory approach was implemented through two main stages: maggot production training and a digital marketing workshop. The results showed a significant increase in both the production capacity and quality of maggot, as well as an improvement in digital marketing skills among MSMEs. The training enhanced participants' technical abilities in substrate management, production efficiency, and post-harvest processing, leading to higher and more consistent production outcomes. Meanwhile, the digital marketing workshop equipped MSMEs with strategies to expand market reach through online platforms, branding, and content creation. Despite challenges such as substrate variability and digital infrastructure limitations, innovative solutions like substrate diversification and improved environmental monitoring were successfully applied. This program not only boosted the local economy but also contributed to a more sustainable livestock sector by integrating circular economy principles. In conclusion, the program demonstrates the potential of combining maggot production with digital marketing strategies to create a sustainable business model for MSMEs, serving as a replicable example for community empowerment within the context of a circular economy and sustainable agriculture in Indonesia