JURNAL EDUNITRO Jurnal Pendidikan Teknik Elektro

Expansion of Base Station Coverage Area Based on Sector Expansion on Lombok Island

2024-11-17T10:12:30+00:00

Developing telecommunications infrastructure is vital for national advancement, improving connectivity to accelerate information flow and access to public services. Effective base station planning prioritizes maximizing network coverage in densely populated areas. However, traditional visualization methods often fall short in identifying regions with the highest population density. This study addresses this gap by applying a sector expansion algorithm to select optimal base station locations within the most densely populated sectors, achieving more balanced network coverage. Using Indonesia’s population data and administrative boundaries, optimal base station locations are determined with DBSCAN and K-Means clustering algorithms. The network’s reach is then enhanced through sector expansion to increase coverage in areas with high population density by selecting new base station locations based on the densest sector around a primary station. The candidate station is positioned at a distance of three-quarters of twice the radius of the primary station, optimizing coverage while remaining close to existing network resources. The evaluation compares population coverage before and after sector expansion, assessing connectivity between base stations and distribution efficiency. Results show that sector expansion increased population coverage on Lombok Island from 15.94% to 99.14%, with the most populated base station covering up to 34,274 people, enhancing distribution efficiency.

The Ecosystem of AI-Driven Robotics in Pediatric Neurorehabilitation

2024-12-02T07:59:35+00:00

If you want to fully understand the ecosystem surrounding AI-driven robotics in pediatric neurorehabilitation, you need to carefully look at many interconnected aspects and think critically about what they mean. We address this review to facilitate an in-depth analysis of the effective integration of advanced technologies, such as artificial emotional intelligence and interactive reinforcement learning, into rehabilitation practices. By critically assessing each element, from the psychological dynamics of patient engagement to the technical intricacies of real-time adaptive learning systems, we can better understand their pivotal roles in enhancing therapeutic efficacy. Moreover, the inclusion of natural language processing and facial expression analysis warrants careful consideration, as it sets the stage for more nuanced interactions between robots and pediatric patients, thereby fostering a therapeutic environment that is both responsive and empathetic. A thorough examination not only highlights the potential benefits but also the ethical and practical challenges associated with these technologies. By putting these different parts into a critical framework, we ensure that we have a complete picture of the opportunities and limitations in this new field. Our ultimate goal is to improve rehabilitation outcomes for kids with neurological problems while keeping an eye out for any unintended effects.

Sistem Pemantauan Kualitas Udara Berbasis IoT di Area Oil Mill P.T. Cargil Indonesia – Amurang

2025-01-30T03:02:05+00:00

Abstrak— Kualitas udara merupakan pertimbangan utama yang harus diperhatikan di lokasi industri seperti pabrik minyak Amurang milik PT. Cargill Indonesia yang akan memastikan kesehatan pekerja, keberlanjutan lingkungan, dan kepatuhan terhadap peraturan. Proyek ini berupaya menciptakan sistem penilaian kualitas udara berbasis IoT yang dapat memantau konsentrasi gas berbahaya (CO₂, SO₂, NOx), kelembapan, dan suhu secara real-time. Sistem ini mengumpulkan dan menganalisis data menggunakan sensor yang digabungkan dengan platform cloud, yang memungkinkan tindakan proaktif untuk mengatasi kemungkinan bahaya lingkungan. Temuan desain menunjukkan bahwa IoT dapat meningkatkan efisiensi pemantauan, mengurangi bahaya kesalahan manusia, dan menawarkan data yang benar untuk pengambilan keputusan strategis. Selain itu, sistem ini dapat menekan biaya operasional melalui pemantauan otomatis dan memberikan solusi yang fleksibel sesuai kebutuhan pabrik. Namun, kendala seperti terbatasnya jaringan internet di lokasi terpencil dan perlunya perangkat yang tahan terhadap kondisi lingkungan ekstrem menjadi tantangan dalam penerapannya. Dengan demikian, perancangan sistem ini diharapkan dapat menjadi langkah strategis dalam meningkatkan pengelolaan kualitas udara di kawasan industri dan mendukung okupansi.

Capacitive Wireless Charging Technology in Wireless Electric Vehicle Battery Charging: Challenges and Opportunities

2025-01-30T02:41:48+00:00

This study aims to identify challenges, opportunities, and solutions related to capacitive wireless charging (Capacitive Power Transfer, CPT) technology in electric vehicles (EVs). The background of the study focuses on the need for efficient and environmentally friendly charging technology to support wider EV adoption. The methods include laboratory experiments to test electrode design, charging distance, and environmental conditions on power transfer efficiency. The results show that optimal electrode design and proper spacing and positioning can improve power transfer efficiency. However, temperature and humidity factors also affect system performance. In conclusion, CPT technology has great potential in supporting electric vehicle charging, although challenges still need to be overcome. The implications of this study are the need for further development in system design that is adaptive to environmental conditions and integration with smart grids to improve the efficiency and adoption of this technology.

Analisis Pengaruh Sistem Manajemen Pembelajaran Terhadap Keefektifan Pengajaran

2024-11-23T09:57:44+00:00

Abstrak— Pembelajaran jarak jauh yang tertata baik adalah yang menggunakan learning management system (LMS). LMS tidak hanya bermanfaat sebagai pembelajaran jarak jauh di masa pandemi Covid 19, tetapi juga untuk aplikasi blended learning dalam kondisi normal. Ada banyak platform LMS, tapi yang sering digunakan sekarang oleh dosen adalah Moodle dan Google Classroom. Kemampuan mereka dalam menangani LMS memengaruhi keefektifan pengajaran mereka. Setiap platform LMS berbeda dalam hal antarmuka pengguna dan fungsionalitas yang dapat diakses. Dosen butuh pengetahuan dan waktu untuk menguasai penggunaan LMS. Latar belakang pendidikan dan usia dosen memiliki pengaruh terhadap kemampuan mereka dalam menggunakan aplikasi LMS. Jadi, jenis platform LMS, tingkat pendidikan, dan usia dosen semuanya memengaruhi kesuksesan instruksional. Penelitian ini bertujuan untuk melihat pengaruh dan perbandingan antara ketiga kelompok tersebut. Kelompok platform LMS meliputi Moodle dan Google Classroom, kelompok kualifikasi pendidikan meliputi gelar master dan doktor, dan kelompok usia meliputi mereka yang berusia di bawah 45 tahun dan mereka yang berusia di atas 45 tahun. Penelitian menggunakan Anova 3-jalur yang mengungkapkan bahwa ketiga kelompok tersebut memiliki efek interaksi sebesar 74,1% terhadap keberhasilan instruksi mereka.