Hydroponic plant cultivation is booming, but stock and sales are hard to predict. Poor prediction can cause farmers to overstock and lose money. This study suggests a framework that uses several machine learning models, including Linear Regression (LR), Random Forest (RF), Decision Tree (DT), and Extreme Gradient Boosting. "Ensemble Learning," which combines these models, should yield more accurate and generalizable results than a single model. This framework is assessed using historical hydroponic plant sales data and related factors like price, weather, and market trends. The model's performance is measured by the difference between predictions and actual values using RMSE and MAE metrics. This framework should improve hydroponic plant stock and sales predictions. Farmers can make better production, inventory, and harvest distribution decisions. Besides reducing financial losses, this reduces food waste and improves food security.

Perilaku merokok tidak hanya ada di zona sekolah non pesantren, tetapi juga ditemukan di sekolah pesantren. Walaupun dalam pesantren terdapat aturan dilarang merokok, masih banyak santri yang merokok secara sembunyi, dimana salah satu tempat yang paling sering dijadikan tempat merokok mereka adalah di dalam kamar mandi asrama dan perilaku tersebut merupakan suatu pelanggaran. Pondok pesantren salafiyah safi’iyah sukorejo merupakan salah satu pondok pesantren yang sangat melarang para santrinya untuk merokok. Bahkan pelarangan merokok ini merupakan pelanggaran yang berat, dimana santri yang ketahuan merokok bisa langsung di keluarkan dari pondok. Salah satu solusi dari permasalahan ini yaitu  bagaimana merancang alat pendeteksi asap rokok berbasis IoT menggunakan sensor MQ-135 dan mikrokontroler ESP32-CAM, serta bagaimana sistem ini tidak hanya mendeteksi asap tetapi juga mengirimkan notifikasi lokasi dan mengambil gambar kejadian untuk dokumentasi.

This study examines the role of Artificial Intelligence (AI) in marketing strategy through a Systematic Literature Review (SLR) approach. AI has shown a transformative impact by outperforming traditional methods, especially in optimizing big data-based marketing strategies. With the ability to analyze consumer behavior in depth, AI enables businesses to personalize marketing efforts and improve user experiences more efficiently and responsively. However, challenges such as data privacy, high initial investment, and reliance on data quality remain major concerns that must be addressed. This study also evaluates the effectiveness of using AI across marketing channels, which shows significant differences in their impact on business strategy. In addition, the integration of AI-based fitness equipment is considered to have a major contribution in increasing consumer satisfaction while driving online business growth. The results of this study provide valuable insights into the effective implementation of AI, as well as highlight the importance of maintaining data security and implementing AI strategically to provide optimal benefits for consumers and business development.

Aktualisasi pengembangan Kekayaan Intelektual (Intellectual Property Development) dalam rezim Hak Cipta yang merupakan karya turunan (derivative works) melalui media elektronik perlu diimbangi dengan bentuk-bentuk perlindungan ekstra (extra-protection) di luar perlindungan hukum Hak Cipta yang diatur dalam Undang-Undang Hak Cipta nasional. Peningkatan kualitas perlindungan Hak Cipta digital diperlukan mengingat obyek Hak Cipta digital sudah semakin bertransformasi ke dalam berbagai bentuk baru yang diikuti dengan adanya kemungkinan akan terjadinya pelanggaran-pelanggaran Hak Cipta digital (Digital Copyright Infringements). Penyelesaian masalah terkait dengan problematika hukum pelanggaran Hak Cipta digital perlu dilakukan melalui pendekatan legal dan teknologi yang akan dibahas melalui penelitian ini ke dalam beberapa bentuk upaya perlindungan hukum dan perlindungan non-hukum sebagai perlindungan yang bersifat komplementer.

This study aims to examine the impact of a 6-phase design using an asymmetrical dual
3-phase design on the torque and speed of an induction motor, where the newly designed motor still uses a 3-phase power source. The research compares the performance of a conventional 3-phase induction motor with that of an asymmetrical 6-phase induction motor design, focusing on torque and speed. This motor is only designed in terms of its windings, so the motor's position remains unchanged. The 3-phase system applied to the 6-phase induction motor design ensures that the 6-phase motor operates within a 3-phase system. The study also explores performance improvements, particularly in torque and speed, by redesigning the windings of a 3-phase induction motor into an asymmetrical 6-phase motor.
The induction motor used in this research has the following specifications: 3-phase, 2 A, 1390 RPM, 50Hz, 0.75 kW, and 380Y. The study aims to understand the effects of the asymmetrical 6-phase induction motor design, particularly regarding torque and speed. The results show that the torque and speed of the two motors differ due to the asymmetrical 6-phase winding design. In a conventional 3-phase induction motor, the winding coil layer distance is 120°, whereas, in the asymmetrical 6-phase induction motor, the distance between the first and second layers is 30°. Based on this analysis, the asymmetrical 6-phase induction motor design demonstrates better performance compared to the conventional 3-phase induction motor.

This research aims to analyze the efficiency of modern communication systems in transaction activities at Warkop Berkah, a micro-enterprise that has adopted digital technology. The main focus of the research is the implementation of modern communication systems, such as cashless payments via digital wallets, QR codes, and Point-of-Sale (POS) applications, which aim to improve operational efficiency, customer experience, and business competitiveness. This research also identifies various challenges faced in implementing this technology, including the need for employee training, implementation costs, and adaptation by customers who are still accustomed to conventional systems. The research results show that modern communication systems have a significant impact in increasing operational efficiency at Warkop Berkah. Transaction processes become faster, the risk of calculation errors is reduced, and financial transparency increases. In addition, this technology provides a better customer experience by offering convenience, security and comfort, especially for the younger generation who are more familiar with technology.  However, technology adoption also faces obstacles, such as dependence on stable internet connections, resistance from certain customers, and technical challenges in system maintenance. To overcome this challenge, the research recommends several strategies, including intensive training for employees, customer education, diversification of payment methods, and improving technological infrastructure. Real-time monitoring of transaction data is also proposed as a step to optimize operational performance and maximize customer experience. By implementing the right strategy, Warkop Berkah can utilize modern communication systems to support the sustainability and competitiveness of its business. This research contributes to understanding the importance of digitalization in micro and small businesses (MSMEs) in facing the challenges of the digital era. In addition, this study provides practical insights for micro business owners who want to adopt modern technology to increase efficiency and business growth amidst increasingly fierce competition.

Kendaraan listrik menggunakan sumber tenaga dari energi listrik yang akan diubah menjadi energi kinetik. Sumber energi listrik tersebut disimpan di dalam baterai. Proses pengisian baterai dapat dilakukan dengan menggunakan sumber tenaga dari Panel Surya dan PLN. Berdasarkan analisis hasil pengukuran dapat disimpulkan bahwa (1) pengisian ulang baterai menggunakan Panel Surya dari kondisi minimum hingga maksimum membutuhkan waktu 4 jam 38 menit, dan (2) pengisian ulang baterai menggunakan PLN dari kondisi minimum hingga maksimum membutuhkan waktu 2 jam.

This study aims to analyze the role of Instagram as a business communication medium in increasing the sales of VOI Churros, an MSME in Pematangsiantar City. The findings reveal that VOI Churros effectively utilizes Instagram features such as feeds, Reels, Stories, Highlights, collaborations with micro-influencers, and Instagram Insights. These strategies enhance brand visibility, expand audience reach, and foster strong customer interactions. Engaging visual content and creative promotions successfully attract consumer interest, while analytical tools optimize marketing campaigns. The use of Instagram has proven to positively impact sales, with up to a 20% increase in certain promotional campaigns. Moreover, seamless communication with customers through this platform builds loyalty and expands the market reach, even beyond Pematangsiantar. The effectiveness of this strategy is not solely determined by the platform itself but also supported by the quality of products and services provided. This study concludes that Instagram is an efficient marketing tool for VOI Churros to reach a wider market, improve customer engagement, and significantly drive sales growth. Consistent and well-planned strategies are crucial to maintaining this success in the future.

As digital transformation accelerates across industries, cybersecurity faces escalating challenges due to increasingly sophisticated cyber threats. This study explores the integration of artificial intelligence (AI) algorithms and big data analytics to enhance cybersecurity systems, focusing on addressing data integration and interpretability issues. Employing a descriptive-qualitative methodology, the research analyzes literature, case studies, and secondary data to evaluate the effectiveness of AI and big data in detecting and mitigating cyber threats. Key findings reveal that deep learning algorithms, such as artificial neural networks, achieved an accuracy of 93% in anomaly detection, outperforming traditional rule-based approaches by 18%. Additionally, big data platforms like Spark demonstrated superior efficiency, processing 500 GB of data in 35 seconds compared to Hadoop’s 60 seconds. However, the study identifies challenges related to the interpretability of AI models and the complexity of integrating diverse datasets, which impede real-time threat detection. Periodic updates to AI training datasets were found to improve detection accuracy by up to 15%, emphasizing the importance of adaptive learning models. This research contributes to the field by proposing strategies to enhance system resilience, including adopting Explainable AI (XAI) for transparency and advanced data integration techniques. The findings underscore the potential of AI and big data to revolutionize cybersecurity, offering organizations a proactive approach to combating evolving cyber threats. Future studies should focus on sector-specific implementations and optimizing response mechanisms for comprehensive security frameworks.

This study aims to examine the virtues of knowledge from an Islamic perspective as taught in the book Mahfudzot Fadhoilul Iman and to explore its relevance in shaping the spiritual transformation of individual Muslims and their social contributions in the modern era. A qualitative approach was employed, utilizing a literature review method to analyze the key principles outlined in the book.The findings reveal that the book Mahfudzot Fadhoilul Iman emphasizes knowledge as the foundation of faith, guiding humanity toward divine truth. Values such as al-ilmu nurun (knowledge is light) and thalabul ilmi faridhatun (seeking knowledge is an obligation) highlight the importance of knowledge as a spiritual means of drawing closer to Allah. Additionally, the principle khairun naasi anfa'uhum linnaas (the best of people are those who are most beneficial to others) underscores the significant social dimension of knowledge in building a prosperous and harmonious society.This study also finds that the values in Fadhoilul Iman remain relevant to contemporary challenges, such as developing education based on Islamic values and applying ethical knowledge in professional fields. By recontextualizing the teachings of this book, Muslims can utilize knowledge as an instrument to strengthen their faith while contributing meaningfully to the well-being of humanity.