Pembelajaran di era revolusi industri 4.0 harus dapat mempersiapkan generasi muda untuk dapat mengembangkan kemajuan teknologi informasi dan komunikasi dalam kehidupan bermasyarakat. Jumlah pengguna smartphone di Indonesia diperkirakan akan terus meningkat memunculkan potensi penerapan media pembelajaran berbasisi mobile learning yang dapat menerapkan teknologi Artificial intelligence salah satunya adalah Natural language processing berupa Chatbot dengan model ChatGPT tetapi terdapat beberapa tantangan dalam penerapannya. Penelitian ini bertujuan untuk mengembangkan media pembelajaran terintegrasi Artificial intelligence Natural language processing berbasis mobile dengan framework flutter pada materi energi terbarukan yang dapat mengatasi tantangan dalam penerapan Natural language processing pada proses pembelajaran, kelayakan media pembelajaran, kepraktisannya, serta kelebihan yang dimiliki media pembelajaran. Penelitian ini merupakan penelitian dan pengembangan dengan model 4-D yang dibatasi hingga tahap development. Penelitian ini dilaksanakan di SMAN 4 Semarang pada peserta didik kelas E.X-3, E.X-8, dan E.X-10. Hasil uji validitas ahli untuk materi dan media memperoleh kategori sangat baik dengan nilai rata-rata berturut-turut adalah 4,5 dan 4,67. Hasil uji pengembangan menunjukkan nilai rata-rata 1,656 dengan kategori evaluasi positif atau dinyatakan praktis. Kelebihan dari media pembelajaran yangdikembangkan diantaranya memiliki tampilan User Interface yang menarik, memiliki performa yang baik, serta memiliki kualitas hedonis dan pragmatis yang masuk dalam kategori baik.

Self-regulated learning is essential for students to be proactive in their learning, and creative thinking is crucial for overcoming challenges and generating innovative solutions. Project-Based Learning (PjBL) has been proposed as an effective method for teaching subjects such as renewable energy, allowing students to apply concepts in a real-world context. However, challenges persist in implementing PjBL, including student adaptation and lack of structured materials. This study aims to assess the impact of the PjBL model on students' self-regulated learning and creative thinking, identify factors that promote self-regulated learning, and understand barriers to developing creative thinking. Conducted at SMA Negeri 11 Sarolangun, this study involved two experimental classes and one control class. Using a mixed-method approach with a sequential explanatory design, this research employed a quasi-experimental method with a non-equivalent control group design. Data were collected using questionnaires, creative thinking tests, and interviews, and analyzed using parametric statistical tests and qualitative descriptive analysis. The results showed that PjBL had a significant positive impact on self-regulated learning and creative thinking, with a supportive learning environment being a key factor. The t-test results showed a significant effect on self-regulated learning (0.002) and creative thinking (0.04), both below the 0.05 threshold. Effect size analysis indicated a high impact on self-regulated learning and moderate impact on creative thinking variable.

Blanket warmer is a tool to maintain the stability of the patient's body temperature when experiencing hypothermia, the blanket warmer will warm the patient until it reaches a normal body temperature of 36 - 37 °C. Some of the temperature setting options on the blanket warmer are 32°C, 38°C, and 43°C. To be able to design an Arduino-Based Warmer Blanket tool by using DS18B20 sensors.This study uses the research and development (RnD) method, which is a method used to make a product and test its effectiveness from the results of the product. The results of this study had a measurement difference of the instrument that could be used for patients with the highest temperature difference, namely 32°C = 0.11°C, 38°C = 0.20°C, 43°C = 0.11°C, the lowest measurement difference was 32°C = 0°C, 38°C = 0.01°C, 43°C = 0.02°C by comparing with a temperature measuring instrument. The average of all measurements in patients was 32°C = 32.64°C, 38°C = 38.70°C, 43°C = 43.72°C. The highest average error value from the 3 experiments was 1.45% and the lowest average error value from the 3 experiments was 0.26%. The Blanket Warmer tool using sensors DS18B20 safe for patients to use.

To support green energy and reduce the effects of greenhouse gases, it is necessary to conceptualize and explore the use of renewable energy. In this research, the use of new renewable energy, especially photovoltaics (PV), will be applied to educational buildings, especially at ITS PKU Muhammadiyah Surakarta. This system is intended to reduce the use of conventional electrical energy. This system will be installed on the roofs of campus buildings with installation plans to meet the power requirement of 4.8 kW. This photovoltaic (PV) system will be modeled to determine the number of PV panels needed. Based on the simulation results, the number of panels required is 36 panels (2 series, 18 parallel) to produce 4.85kWh of power. Modeling and analysis of this system was carried out using RETScreen and MATLAB SIMULINK software.

This research is based on the Regulation of the Nuclear Energy Supervisory Agency of the Republic of Indonesia Number 2 of 2018 concerning Conformity Tests for Diagnostic and Interventional Radiology One component that must be tested with a minimum passing standard of ? 100 lux at a distance of 100 cm. Data collection is obtained at the Calibration Agency to obtain accurate results. The purpose of this tool, the Lux Meter is equipped with a distance sensor to measure the light intensity of a collimator lamp with an intensity that must be ? 100 within a distance of 100 cm from the light source. So, making a tool that can be used to measure the amount of collimator illumination is accompanied by measuring the distance, so that it can ensure the results are in accordance with the limits that have been determined with a Lux Meter equipped with a distance sensor using the BH1750 module and the HC-SR04 module. For testing the tool made, it was compared with a Standard Lux Meter with the HIOKI brand, an average error value of 0.021 at a distance of 50cm, an error of 00.020 at a distance of 100cm, and an error of 0.022 was obtained, while for testing the distance sensor it was compared with a Standard Meter with the FLUKE brand. The average percentage error value is 0.002 at a distance of 50cm, an error of 0.011 at a distance of 100cm, and an error of 0.008 at a distance of 130cm.

Tujuan penelitian ini adalah untuk mengkaji dan menganalisis reposisi zakat atas pengurangan penghasilan kena pajak dengan membayar zakat sebagai upaya peningkatan kesadaran masyarakat dalam membayar zakat. Zakat dan pajak bagi umat muslim merupakan beban ganda yang wajib dipenuhi. Untuk meminimalisasi dua kewajiban tersebut dibuat kebijakan dimana zakat yang telah dibayarkan bisa mengurangi Penghasilan Kena Pajak (PKP). Metode pendekatan dalam penelitian ini adalah yuridis sosiologis, data yang digunakan adalah data primer dan data sekunder, teknik pengumpulan data adalah studi lapangan dan studi kepustakaan sedangkan teknik analisis data menggunakan analisis kualitatif. Hasil penelitian menunjukkan bahwa pengaturan atas pengurangan penghasilan kena pajak dengan membayar   zakat sebagai upaya peningkatan kesadaran masyarakat dalam membayar zakat adalah zakat yang telah dibayarkan melalui lembaga zakat yang disahkan oleh pemerintah  dapat digunakan sebagai pengurang panghasilan kena pajak (PKP) sehingga pajak yang harus dibayar menjadi berkurang. Reposisi atas pengurangan penghasilan kena pajak dengan membayar   zakat sebagai upaya peningkatan kesadaran masyarakat dalam membayar zakat layak dilakukan mengingat masih rendahnya kesadaran masyarakat dalam membayar zakat. Masyarakat yang awalnya merasa keberatan atas beban ganda yaitu kewajiban berupa pajak dan zakat, dapat menjalankan kewajiban membayar pajak dan zakat seiring sejalan.