TEKS GENERASI PUISI INDONESIA MELALUI PENDEKATAN FINE-TUNING DENGAN PRETRAINE…

Text generation, sebagai sub-bidang utama dalam pengolahan bahasa alami (NLP), telah menjadi fokus utama dalam dekade terakhir. Penerapan teknologi text generation telah meluas di berbagai domain aplikasi, termasuk dalam bidang kreatif seperti puisi. Teks generasi puisi menjadi salah satu tantangan karena memadukan model pengetahuan linguistik, kreativitas, dan orisinalitas untuk menghasilkan p…

PERANCANGAN DATABASE SISTEM MONITORING SENSOR PEMANTAU TANAMAN PADA SMART FAR…

Smart Farming mengacu pada penerapan teknologi informasi dan komunikasi dalam kegiatan pertanian untuk meningkatkan efisiensi, produktivitas, dan keberlanjutan. Penerapan IoT dalam bidang pertanian ini adalah untuk mengotomatisasi semua aspek pertanian guna memudahkan dan meningkatkan efektivitas prosesnya. Projek ini dirancang untuk menyimpan dan mengelola data yang dihasilkan oleh sensor-sens…

RANCANG BANGUN SISTEM POWER SUPPLY BERBASIS SOLAR PANEL PADA ALAT PEMANTAU TA…

Pertumbuhan teknologi dalam bidang pertanian semakin pesat dengan diperkenalkannya konsep Smart Farming. Penelitian ini bertujuan untuk merancang dan membangun sistem power supply yang menggunakan solar panel sebagai sumber energi pada alat pemantau tanaman di lingkungan Smart Farming. Solar panel dipilih sebagai sumber daya energi utama untuk mendukung keberlanjutan dan efisiensi operasional a…

 IMPLEMENTASI PENGENALAN WAJAH PADA MIKROKONTROLLER DENGAN METODE WEIGHTLESS…

In this study, the only parts of the face used were the eyes and mouth. Apart from that, data in facial recognition is also limited, namely a distance of 40-50cm from the camera. This facial recognition is done on a microcontroller. WNN was chosen because of its ability to reduce memory usage, while to measure similarity using the immediate scan method. Immediate scan was chosen because of its …

DETEKSI PELANGGARAN KENDARAAN PADA ZEBRA CROSS MENGGUNAKAN SUPERVISION DAN PE…

In this study, the You Only Look Once Version 8 (YOLOv8) algorithm was used to detect and use the Supervision library to calculate the number of vehicles violating zebra crossings. The Two Dimensional Convolutional Neural Network (2DCNN) method was used to determine the level of violations with the parameters zero, low, medium, and high. This research uses a vehicle image dataset totaling 3592 …

SIMULASI SUPPLY CHAIN MANAGEMENT (SCM) PADA PERDAGANGAN SPAREPART MOBIL MENGG…

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vii, 126 hlm.; Ilus.; 29 cm

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T1395812024

PENERAPAN RANDOM FOREST CLASSIFIER UNTUK DETEKSI PDF MALWARE PADA LAYANAN AGR…

Garba Rujukan Digital (GARUDA) is a Service Provider whice provides information and means which has been produced by research academics in Indonesia, Currently the service (GARUDA) Provides data in file room. Portable Document Fortmat (PDF). Whice PDF is ussually for fast and easy information sharing service, Howaver many people are irresponsible and actually tak and advantage of this to commit…

DETEKSI MALWARE PADA FILE PORTABLE DOCUMENT FORMAT (PDF) DENGAN BYTE FREQUENC…

Portable Document Format (PDF) files as well as files in several other formats such as (.docx, .hwp and .jpg) are often used to conduct cyber attacks. According to VirusTotal, PDF ranks fourth among document files that are frequently used to spread malware in 2020. Malware detection is challenging partly because of its ability to stay hidden and adapt its own code and thus requiring new smarter…

DETEKSI LESI PRA-KANKER SERVIKS PADA CITRA KOLPOSKOPI MENGGUNAKAN CONVOLUTION…

Deteksi lesi pra-kanker serviks memegang peran krusial dalam menganalisis citra medis untuk diagnosa yang tepat. Keterbatasan pengamatan visual mendorong perlunya deteksi berbasis komputer. Penelitian ini mengusulkan model deteksi lesi pra-kanker serviks menggunakan Convolutional Neural Network (CNN) dengan arsitektur YOLO, memberikan akurasi yang tinggi. Dua dataset digunakan, pertama dari IAR…

KLASIFIKASI JENIS EMOSI MENGGUNAKAN DEEP LEARNING BERDASARKAN SINYAL ELECTROE…

This research focuses on in-depth exploration and analysis of the application of three types of deep learning, namely Convolutional Neural Networks (CNN), Bidirectional LSTM (BI-LSTM) and Deep Neural Network (DNN). The three models are trained with the same parameters, consisting of three layers, using the Relu activation function, and applying 1 dropout level. In order to compare the performan…

OPTIMASI ALGORITMA NAÏVE BAYES MENGGUNAKAN ANT COLONY OPTIMIZATION UNTUK KLA…

Stroke is a dangerous disease that is included in the 10 deadliest diseases in Indonesia, with a very high mortality rate. To detect strokes, CT scans and MRI examinations are usually used. However, this examination is expensive and is often only carried out after someone has had a stroke. As a result, medical treatment can be delayed and the patient's condition can worsen. Therefore, it is ver…

DETEKSI PENYAKIT DIABETIC RETINOPATHY PADA CITRA RETINA MENGGUNAKAN RETINANET…

This research aims to develop a method for detecting Diabetic Retinopathy (DR) in retinal images using the RETINANET architecture with a ResNet-50 backbone. DR is a serious complication in individuals with diabetes mellitus, leading to damage to the blood vessels in the retina and, in severe cases, blindness. ResNet (Residual Network) is chosen as the neural network architecture to deepen the m…

PURWARUPA SISTEM MONITORING PEMBERI PAKAN AYAM PADA KANDANG AYAM PINTAR

One of the important things that must be considered when raising chickens is feeding to determine the level of chicken production. Sudden or other activity over a long period of time often disrupts regular feeding. Therefore, a regular monitoring system for feeding is very necessary for breeders at this time. Feeding is carried out twice a day, namely in the morning at 07:00 WIB and in the afte…

 IMPLEMENTASI METODE FORWARD KINEMATIK SEBAGAI SISTEM KENDALI PERGERAKAN LEN…

In research on this project developed a U-Arm model robot with three degrees of freedom using Forward Kinematic calculations. Kinematic Forward is a mathematical calculation process to obtain the angles of the three joints on the robot arm from known (x,y,z) end-effector coordinates and the length of each link. In this robotic arm there are 4 links, with a length of Link1 = 8.2 cm, a length of …

IMPLEMENTASI PROTOKOL MQTT PADA SISTEM MONITORING KEBUN FASILKOM UNIVERSITAS …

Kemajuan teknologi dapat dirasakan hampir di setiap aspek kehidupan sehari-hari, termasuk juga pada bidang pertanian. Selama ini kondisi perkebunan hanya dipantau secara manual kini dapat dipantau otomatis, sehingga dapat mempermudah dalam pemantauan kondisi kebun. Projek ini mengusulkan suatu sistem pemantauan kondisi kebun dengan menerapkan protokol komunikasi MQTT berbasis smart farming. Mes…

SIMULASI PERGERAKAN BARANG PADA SUPPLY CHAIN MANAGEMENT UNTUK STUDI KASUS SPA…

Supply Chain Management melibatkan beberapa pihak yang berperan dalam proses pengiriman barang atau jasa sehingga memerlukan transparansi terkait catatan transaksi bagi semua pihak yang terlibat dengan tujuan menghindari pemalsuan data transaksi. Untuk mengatasi masalah ini, penelitian ini bertujuan membangun sistem keamanan menggunakan metode Delegated Proof-of-Stake (DpoS). Kumpulan blok yang…

PREDIKSI KEPADATAN KENDARAAN MENGGUNAKAN METODE K-NEAREST NEIGHBORS YANG DIOP…

Traffic congestion remains a primary concern in the transportation sector and continues to pose challenges for everyday activities. To address this issue, a system capable of detecting vehicle density levels is required. This research leverages cutting-edge technology, such as image-based methods utilizing CCTV camera sensors to monitor multiple roadways simultaneously, with the hope of making …

PURWARUPA DETEKSI KEDATANGAN KERETA API MENGGUNAKAN SENSOR GETAR DAN SENSOR G…

A railway crossing is a crossing where a railway line meets a road, either a highway or other footpath. Many cases of accidents are caused by a lack of guarding and not being equipped with train doorstop facilities, so there is a need for innovation to increase progress, especially the level of safety to prevent accidents. This technology detects the presence of trains at track guard stations (…

KRIPTOGRAFI AES DAN AUTENTIKASI HMAC UNTUK SISTEM PENGAMANAN PESAN TEKS BERBA…

In the rapidly evolving communication era, the security of text messages has become crucial. The use of efficient and secure cryptographic algorithms, considering the limitations of device resources, is an urgent step to protect user information from unauthorized parties. This research focuses on the integration of the AES cryptographic scheme and HMAC authentication. The goal is to effectively…

OPTIMASI FIS TSUKAMOTO DALAM MEMPREDIKSI CURAH HUJAN DI KABUPATEN BANYUASIN M…

Indonesia, as a tropical climate country with high rainfall, heavily relies on accurate rainfall predictions for various critical purposes, including water resource management and extreme weather impact mitigation. One commonly used method is the Tsukamoto Fuzzy Inference System (FIS). However, implementing the Tsukamoto FIS often leads to high error rates. This is attributed to the difficulty …

PENGENALAN WAJAH PADA PLATFORM EMBEDDED MELALUI IDENTIFIKASI MATA DAN HIDUNG …

Technological advances in the field of Computer Vision are increasingly complex, especially in research and industrial needs. Computer Vision allows computers to process and recognize images with a level of accuracy close to human capabilities. The purpose of this research is to develop a face recognition system that previously ran on a microcomputer, so that it can run on a microcontroller wit…

PENGGUNAAN METODE YOLO UNTUK DETEKSI KENDARAAN DAN PENENTUAN TINGKAT PELANGGA…

Wrong-way traffic violation is often committed by the public and frequently leads to traffic accidents and congestion. This research aims to develop a detection system using the You Only Look Once (YOLO) algorithm to identify and count the number of vehicles based on video recordings. Additionally, this study employs the One-Dimensional Convolutional Neural Network (1DCNN) method to determine t…

IMPLEMENTASI QUANTUM MACHINE LEARNING DALAM MELAKUKAN DETEKSI SERANGAN DISTRI…

Ancaman keamanan internet sangatlah rentan terhadap serangan dari pihak manapun, termasuk serangan Distributed Denial-of-Services (DDoS). Serangan DDoS mengirimkan paket secara terus menerus sehingga membanjiri jaringan, server, atapun situs web secara masif, mengakibatkan jaringan tidak bisa diakses oleh pengguna. Dalam mengidentifikasi serangan DDoS terdapat masalah yaitu input data yang sang…

MULTI CLASSIFICATION PADA SISTEM PENDETEKSI SERANGAN SIBER MENGGUNAKAN LSTM V…

Long Short Term Memory, metode pendeteksi serangan siber dengan kemampuan memproses urutan data dan mengingat informasi dalam rentang waktu panjang. Namun, LSTM tidak dapat secara efektif mengingat informasi apabila urutan data terlalu panjang atau informasi tersebar pada jarak yang jauh. Oleh karena itu, hadir metode Bidirectional LSTM dan Stacked LSTM. BiLSTM mampu memproses urutan data secar…

SISTEM PERINGATAN PERGERAKAN MAKHLUK HIDUP PADA KEBUN DENGAN NOTIFIKASI BOT T…

Technology that could be useful in maintaining security in plantation areas should be achievable. It should be able to identify objects and movements within the plantation area. With such a system in place, users can take prompt actions to address any issues, enabling researchers to leverage microcontroller technology. One way is by creating a living creature movement warning system in the plan…

ANALISIS KOMPARATIF KETEPATAN HASIL DETEKSI KANKER PROSTAT MENGGUNAKAN METODE…

Prostate cancer is a malignant disease that typically affects men and occurs in the prostate gland located beneath the bladder. Prostate cancer ranks as the second most common cancer in the United States and was the fifth in Indonesia with 13,563 cases in 2020. While the exact cause remains unknown, early detection of prostate cancer can be achieved through the use of machine learning and data …

KLASIFIKASI ABNORMALITAS STRUKTUR JANTUNG ANAK DAN VISUALISASI MENGGUNAKAN CO…

The application of artificial intelligence in these days is so much, it is beginning to enter a wide range of fields in the world, one of which is in the field of biomedicine. CNN uses several layers to help the classification process, especially the one on this study of the child's heart. The child's heart image will be processed into a previously created model that aims to recognize each clas…

INSTANCE SEGMENTATION PADA MAGNETIC RESONANCE IMAGING TUMOR OTAK MENGGUNAKAN …

Pencitraan medis, seperti MRI, berperan penting dalam mensegmentasi tumor otak, tetapi banyak tugas yang masih bergantung pada penilaian manual yang memakan waktu. Oleh karena itu, dibutuhkan segmentasi otomatis yang akurat untuk mempercepat diagnosis dan penanganan. Dengan menggunakan model-model terkini, YOLOv7 dan YOLOv8 yang didukung oleh dasar kerja CNN, penelitian dilakukan untuk mensegme…

IDENTIFIKASI JUMLAH KENDARAAN MENGGUNAKAN YOLO DAN PREDIKSI ARUS LALU LINTAS …

The annual increase in the volume of vehicles, without a corresponding improvement in road infrastructure, has led to detrimental traffic congestion and density. Therefore, this research aims to address this issue by developing a vehicle detection system using the You Only Look Once (YOLO) generation 8 algorithm and DeepSort architecture to count the number of vehicles. In addition to focusing …

IDENTIFIKASI KENDARAAN DENGAN MENGGUNAKAN YOLO DAN UNTUK MENENTUKAN KEPADATAN…

The increasing volume of vehicles each year results in an escalating daily traffic volume, leading to issues such as congestion and vehicle density that adversely affect various sectors. Therefore, this research aims to develop a vehicle detection system and vehicle count using the You Only Look Once (YOLO) generation 8 algorithm, assisted by the DeepSort architecture, to count the number of ve…