• Perancangan Sistem Monitoring Kualitas Madu Ber- Basis IoT dengan Metode K-Nearest Neighbors (K-NN) Berdasarkan Sumber Makanan dan Lingkungan Peternakan Lebah 

  Bima‎, Bima (Universitas Sumatera Utara, 2025)

  Honey quality is a key factor in the beekeeping industry that requires continuous Monitoring to ensure optimal product standards. This research aims to develop an Internet of Things (IoT) based honey quality Monitoring ...

• Pengembangan Model IoT dan Pendekatan Machine Learning (ML) pada Budidaya Perikanan 

  Sarif, Muhammad Irfan (Universitas Sumatera Utara, 2025)

  Traditional fish farming faces various challenges, including a high dependence on environmental factors that affect fish growth and health, where water quality and parameter monitoring are still done manually. This ...

• Implementasi Deep Learning dengan EfficientNet-B4 untuk Klasifikasi Acute Lymphoblastic Leukemia berdasarkan Citra Mikroskopis Sel Darah 

  Simamora, Christofel Vitranata (Universitas Sumatera Utara, 2025)

  Acute Lymphoblastic Leukemia (ALL) is one of several types of blood cancer that is aggressive and progressive in nature, posing a significant risk of death if not identified and treated promptly. Accurate classification ...

• Pengembangan Simulasi Tools Efek Confetti Menggunakan Objek 3d pada Unity Secara Prosedural 

  Harahap, Muhammad Fauzy (Universitas Sumatera Utara, 2025)

  This study aims to develop the Confetti FX Tool, a Unity-based utility designed to simplify the procedural creation of confetti visual effects using 3D objects. This tool is intended to improve efficiency, flexibility, and ...

• Optimisasi Berkelanjutan Menggunakan Machine Learning untuk Forecasting Performa Pertumbuhan Tanaman 

  Barus, Ertina Sabarita (Universitas Sumatera Utara, 2025)

  The distribution of data generated at each iteration in the continuous optimization process tends to result in premature convergence because optimum points are found at the beginning of the iteration so that true optimum ...

• Optimisasi Berkelanjutan Menggunakan Machine Learning untuk Forecasting Performa Pertumbuhan Tanaman 

  Barus, Ertina Sabarita (Universitas Sumatera Utara, 2025)

  The distribution of data generated at each iteration in the continuous optimization process tends to result in premature convergence because optimum points are found at the beginning of the iteration so that true optimum ...

• Sistem Informasi Geografis Puskesmas dan Apotek Berbasis Android di Wilayah Kabupaten Asahan 

  Anawanti, Anisah Balqiah (Universitas Sumatera Utara, 2025)

  One of the main factors for a country to be prosperous can be seen from the level of population health in the country. The level of population health is also influenced by the distribution of health facilities. In the ...

• Deteksi Anomali Hasil Pilkada di Kabupaten Batu Bara Menggunakan Algoritma Dbscan 

  Imanda, Rizki (Universitas Sumatera Utara, 2025)

  Perbedaan signifikan antara hasil survei yang dilakukan oleh lembaga survei independen dengan hasil akhir Pemilihan Kepala Daerah (Pilkada) dapat menjadi indikasi adanya anomali dalam data pemilihan. Penelitian ini mengusulkan ...

• Deteksi dan Klasifikasi Tingkat Keparahan Lubang Jalan di Kota Medan Menggunakan YOLOv11 dan U-Net Berbasis Mobile 

  Tanoto, Pieter (Universitas Sumatera Utara, 2025)

  Road damage, particularly potholes, poses a serious problem in the city of Medan, as it endangers public safety and disrupts traffic flow. The reporting and handling of road damage are often hindered by limited resources ...

• Sistem Deteksi Dini Anemia Remaja Menggunakan Support Vector Machine dan Rekomendasi Pola Makan dengan Content Based Filtering 

  Siregar, Addina Nabilah (Universitas Sumatera Utara, 2025)

  Anemia is still one of the most common health problems among adolescents, especially among adolescent girls. To avoid more serious impacts, a fast and precise detection system is needed. This research aims to develop a ...

• Implementasi Algoritma Gans Model Cgans pada Pemodelan Data Passing Networks: Pertandingan Liga Inggris 2024/2025 

  Siahaan, Samuel Magira Parsaoran Marhaen (Universitas Sumatera Utara, 2025)

  Modern football tactical analysis requires sophisticated computational approaches to understand the complexity of game patterns. This research develops a Conditional Generative Adversarial Networks (CGAN) system to ...

• Framework Internet of Things (IoT) Untuk Memprediksi Kecepatan Optimal Dalam Balap Sepeda Pada Road Bike 

  Nasution, Tigor Hamonangan (Universitas Sumatera Utara, 2025)

  This study aims to develop an Internet of Things (IoT) system framework to predict the optimal cycling speed for road bike athletes using multisensor data and machine learning. The primary issue addressed is the absence ...

• Pendekatan Convolutional Neural Network untuk Mengantisipasi Jamming-attack pada Wireless Sensor Network 

  Soeharwinto, Soeharwinto (Universitas Sumatera Utara, 2025)

  IEEE 802.11 wireless networks (Wi-Fi) deployed within Wireless Sensor Networks have become a cornerstone of modern communication infrastructures. However, the inherently open nature of the wireless transmission medium ...

• Model Optimasi Keandalan Waktu Perjalanan Ambulans pada Smart City 

  Dewi, Rafiqa (Universitas Sumatera Utara, 2025)

  Smart City is a city built to create an efficient, sustainable, fair and livable city. To increase the percentage of citizen survival both in normal times and in emergencies or Emergency Medical Services (EMS) is one of ...

• Implementasi Algoritma Deep Learning Faster R-CNN Untuk Mendeteksi Kemungkinan Iklan Judi Online Sisipan pada Video Reels Instagram 

  Ritonga, Muhammad Rafly (Universitas Sumatera Utara, 2025)

  Online gambling has become a serious issue in Indonesia involving various layers of society with continuously increasing annual transaction volumes. The high usage of internet and social media in Indonesia, particularly ...

• Implementasi Yolo V8 dan Lightgbm dalam Sistem Keamanan Rumah berbasis Iot Untuk Deteksi Pencuri secara Real-Time 

  Manik, Sohmono Sodip (Universitas Sumatera Utara, 2025)

  Conventional home security systems often face limitations in automatically and accurately detecting threats in real time, making them vulnerable to crimes such as burglary, theft, and forced entry. This research develops ...

• Deteksi Otomatis Pejalan Kaki di Zebra Cross menggunakan Metode Sensor Fusion berdasarkan Internet of Things 

  Lumban Raja, Sindhy Marlina (Universitas Sumatera Utara, 2025)

  Pedestrian safety at zebra crossings remains a significant challenge due to the lack of driver awareness regarding pedestrian rights and priority. To minimize the risk of accidents, this study proposes an automatic pedestrian ...

• Pengembangan Aplikasi Android untuk Prediksi Water Quality Index (WQI) dalam Aquascape Menggunakan Gradient Boosting Regression dan Seleksi Fitur Improved Grey Relational Analysis (IGRA) 

  Hansen, Nicholas (Universitas Sumatera Utara, 2025)

  Water is one of the most important elements in an aquascape environment, where small changes in water parameters can affect the Water Quality and environmental balance in an aquascape. There are several ways to check Water ...

• Perancangan Sistem Monitoring Kualittas Air dan Automasi pH Pada Kolam Ikan Nila Berbasis IoT Dengan Algoritma K-Nearset Neighbor (KNN) 

  Umar, Said (Universitas Sumatera Utara, 2025)

  Water quality is a critical factor in aquaculture as it directly affects fish health and growth. Parameters such as pH, temperature, and turbidity must be monitored regularly to maintain optimal environmental conditions. ...

• Implementasi Algoritma YOLOv8, YOLOv9, dan YOLOv10 untuk Deteksi Senjata Tajam Secara Real Time 

  Andini, Nurul Bintang (Universitas Sumatera Utara, 2025)

  Automatic detection of hazardous objects such as sharp weapons is increasingly important in supporting public security systems. The You Only Look Once (YOLO) algorithm is a widely used approach in Computer Vision due to ...

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