• Identifikasi Penyakit Vitiligo pada Kulit Menggunakan Metode K-Means Clustering dan Convolutional Neural Network (CNN) 

  Ginting, Irma Nathasya Br (Universitas Sumatera Utara, 2025)

  Vitiligo is a skin pigmentation disorder characterized by the loss of natural skin color due to damage to melanocytes, and can cause psychosocial impacts for sufferers. Early identification is essential to reduce the risk ...

• Analisis Celah Keamanan Website Pemerintahan Kota Medan Berdasarkan Metode Open Web Application Security Project (OWASP) 

  Hasibuan, Putri Anisa Lina Br (Universitas Sumatera Utara, 2025)

  The rapid development of the internet and information has transformed various sectors, including government, which now heavily relies on websites to provide public services and information. However, vulnerabilities in ...

• Gamifikasi dan ARBook Berbasis Hybrid Augmented Reality dengan Multi-Target Tracking pada Petualangan Belajar Sejarah Kerajaan Hindu-Buddha 

  Windari, Fani (Universitas Sumatera Utara, 2025)

  In History learning in elementary schools is often perceived as less engaging, so media that can increase students’ interest and understanding is needed. This study develops Petualangan Kerajaan Hindu-Buddha, an Augmented ...

• Pengoptimalan Deteksi Plat Nomor Kendaraan di Lingkungan Cahaya Rendah dengan Restormer dan YOLO 

  Toruan, Teresia Tabita Lumban (Universitas Sumatera Utara, 2025)

  The method used in this study combines Restormer and You Only Look Once (YOLO) to address the problem of vehicle license plate detection under low light conditions. Restormer functions as an image enhancement stage to ...

• Komunikasi Jaringan Bluetooth dengan Topologi Mesh Network Berbasis ESP32 untuk Penghitungan Jumlah Penumpang Bus Wisata 

  Purba, Maria Juliana (Universitas Sumatera Utara, 2025)

  The automatic passenger monitoring system has become essential in modern transportation management, especially for large capacity tourist buses. This study designs and implements a passenger counting system using an ESP32 ...

• Implementasi Model Convolutional Neural Network Efficientnetv2b3 pada Citra Fundus untuk Klasifikasi Tingkat Keparahan Diabetes Retinopati 

  Purba, Ruth Damayanthy (Universitas Sumatera Utara, 2025)

  Diabetic retinopathy (DR) is a serious complication of diabetes mellitus that can leadto permanent blindness if not detected and treated early. This study implements a diabetic retinopathy classification system using a ...

• Implementasi Kompresi Delta Encoding untuk Pengiriman Data Sensor pada Platform IoT Thingsboard 

  Zelfi, Abdul Hakim (Universitas Sumatera Utara, 2025)

  The rapid development of the Internet of Things (IoT) enables devices to connect and exchange data in real-time. However, a major challenge in IoT systems lies in the limitations of communication bandwidth and storage ...

• Modifikasi Algoritma Blum-Blum-Shub sebagai Random Number Generator Menggunakan XOR Multi-Seed dan Ordo Modulo 

  Tamara, Hilda Ayu (Universitas Sumatera Utara, 2025)

  Random Number Generator (RNG) is an important component in cryptography that is used to generate secret keys, encrypt messages, and support cryptographic protocols. Cryptographically Secure Random Number Generator (CSPRNG) ...

• Perbandingan Waktu Eksekusi Algoritma Dsatur dan Algoritma Pewarnaan Heuristik Tabu Search pada Pewarnaan Graf 

  Junidar, Junidar (Universitas Sumatera Utara, 2013)

  A coloring of graph G is assignment of colors to the vertices of G, one color to each vertex, so that adjacent vertices are assigned distinct colors. If x colors are used, then the coloring is referred to as an x-coloring. ...

• Identifikasi Malware pada Android dengan Algoritma KNN dan Principal Component Analysis 

  Yuhandinata, William (Universitas Sumatera Utara, 2025)

  Android is the most widely used operating systems for mobile device, making it a main target for malware developers. Malware refers to malicious software designed to compromise user devices, often resulting in data theft, ...

• Klasifikasi Kanker Payudara Berbasis Citra MRI Menggunakan Ektraksi Fitur Convolutional Neural Network (CNN) Berbasis ResNet50 

  Pohan, Fiqri Muhammad Zuhair (Universitas Sumatera Utara, 2025)

  Breast cancer is one of the most prevalent types of cancer and a leading cause of death among women worldwide. Delayed diagnosis remains a major issue due to the limitations of conventional detection methods. One potential ...

• Klasifikasi Citra Tanaman Obat dengan Menggunakan Model ConvNeXt Berbasis CNN 

  Rusli, Alwin (Universitas Sumatera Utara, 2025)

  Medicinal plants play a crucial role in traditional medicine in Indonesia due to their natural properties, accessibility, and generational use. One of the most common forms closely related to community life is the family ...

• Optimasi Sistem Parkir Cerdas Menggunakan Esp32-Cam, Ssd Mobilenet V2 dan Easy Ocr 

  Siregar, Rio Abdullah (Universitas Sumatera Utara, 2025)

  The high number of vehicles in urban areas makes it difficult to find available parking spaces, so drivers often spend time looking for empty slots. This study designs a Smart Parking System that combines Internet of ...

• Peningkatan Kinerja Over-the-Air Firmware Update Berbasis Fog Computing Menggunakan Protokol HTTP dan MQTT 

  Tampubolon, Caesto Marco (Universitas Sumatera Utara, 2025)

  The rapid growth of Internet of Things (IoT) technology has led to billions of interconnected smart devices, making device maintenance—especially firmware updates—a significant challenge. Conventional firmware updates ...

• Algoritma Pengendalian Kelembapan Tanah Menggunakan MQTT dan Fuzzy Logic untuk Peningkatan Produktivitas Pertanian 

  Pahlawan, Riza (Universitas Sumatera Utara, 2025)

  To optimize soil moisture management in agricultural settings, this study introduces a smart irrigation system that integrates MQTT communication with a fuzzy logic controller. The system’s scalable and flexible design ...

• Implementasi Teknologi Virtual Reality Dalam Simulasi Sederhana Kerajinan Tanah Liat 

  Rai, Sonia (Universitas Sumatera Utara, 2025)

  One type of craft that is often a concern is a container made of clay. Technology continues to develop, pushing traditional information media to switch to VR-based media. Virtual Reality (VR) is a technology that creates ...

• Deteksi Penggunaan Ponsel pada Pengemudi Kendaraan Roda Empat Menggunakan Metode YOLOv8 secara Real-Time 

  Nizam, Mohamad (Universitas Sumatera Utara, 2025)

  The behavior of using mobile phones while driving is one of the primary sources of distraction among four-wheeled vehicle drivers contributing to an increased risk of traffic accidents. According to the National Highway ...

• Implementasi Market Basket Analysis Untuk Penjualan Hasil Tangkapan Ikan Di Kota Sibolga Berbasis Web Menggunakan Algoritma Fp-Growth 

  Simbolon, David Bachtiar (Universitas Sumatera Utara, 2025)

  The city f Sibolga has a very large fish income. The fish obtained are usually sold, and this is still done manually (not yet through e-commerce and internet networks). This manual system takes quite a lot of time, because ...

• Deteksi Jenis Penyakit Tanaman Tebu Berdasarkan Citra Daun Menggunakan SSD MobileNet V2 

  Amelia, Mita (Universitas Sumatera Utara, 2025)

  Sugarcane, scientifically known as Saccharum Officinarum Linn, is a plant used as the raw material for sugar production. However, the productivity of sugarcane growth continues to decline, as reflected in the low sugar ...

• Peningkatan Akurasi K-Means menggunakan Kombinasi Rapid Centroid Estimation dan Canberra Distance 

  Sentia, Ayuni (Universitas Sumatera Utara, 2025)

  K-Means is a widely used clustering method due to its simplicity; however, it has limitations related to the random initialization of centroids and its reliance on the Euclidean Distance metric. This study aims to improve ...

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