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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…
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- xiv, 59 hlm.; Ilus.; 29 cm
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- T1390272024
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…
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- xiii, 55 hlm.; Ilus.; 29 cm
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- T1377632024
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…
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- xiv, 114 hlm.; Ilus.; 29 cm
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- T1378732024
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…
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- xxii, 222 hlm.; Ilus.; 29 cm
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- T1381962024
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…
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- xv, 56 hlm.; Ilus.; 29 cm
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- T1416152024
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 …
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- xxi, 75 hlm.; Ilus.; 29 cm
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- T1376182024
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…
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- xv, 83 hlm.; Ilus.; 29 cm
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- T1392842024
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…
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- xv, 85 hlm.; Ilus.; 29 cm
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- T1380612024
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 …
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- x, 82 hlm.; Ilus.; 29 cm
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- T1379662024
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…
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- xiv, 70 hlm.; Ilus.; 29 cm
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- T1378982024
IMPLEMENTASI SISTEM KEGAGALAN FUNGSI LAYANAN PERMINTAAN CLIENT WEB SERVER MEN…
With the increasingly rapid development of technology, internet needs that affect website visitors are increasing and can cause web server malfunctions. therefore a monitoring system is needed to monitor the web server when it experiences problems, configure the server and implement the source code to connect the web server so that failure notifications appear on the instant messaging bot, as w…
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- xvii, 37 hlm,; Ilus.; 29cm
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- T1286132023
SISTEM KENDALI OTOMATIS PENGATURAN NILAI TDS TANAH PADA BUDIDAYA TANAMAN KAIL…
The kailan plant has a fairly high selling power, therefore it is necessary to increase production in the cultivation of kailan plants to support market needs The alternative that can be done to increase the productivity of kailan plants is to control the TDS value in the soil. TDS value needs to be controlled to measure water quality in the soil as a natural medium for kailan plant growth. Ard…
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- xiv, 51 hlm,; Ilus.; 29cm
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- T1269172023
PREDIKSI TREND PERUBAHAN HARGA PADA SAHAM-SAHAM SYARIAH BURSA EFEK INDONESIA …
Stocks have high risks. Due to the high risks of stocks, investors can perform technical analysis before making decisions in buying and selling stocks. Technical analysis is done by using technical indicators, such as Moving Average Convergence Divergence (MACD), Exponential Moving Average (EMA), and Relative Strength Index (RSI). Machine learning methods can be used to perform technical analys…
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- xxi, 133 hlm.; Ilus.; 29 cm
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- T1264852023
PENERAPAN KNOWLEDGE MANAGEMENT SYSTEM MENGGUNAKAN METODE KNOWLEDGE MANAGEMENT…
Knowledge is one of the non-physical assets that can be a strength for companies to increase efforts to achieve goals. The Trade Office of Muara Enim Regency or abbreviated as Disdag has knowledge assets in the form of explicit and tacit knowledge that exist in each individual in it, but the Ministry of Trade doesn yet have a system that can keep and manage this knowledge, so the process of tra…
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- xiv, 72 hlm.; Ilus.; 29 cm
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- T768362022
SISTEM PENDUKUNG KEPUTUSAN PENYELEKSISAN PENERIMA PINJAMAN DENGAN MENGGUNAKAN…
Koperasi Kredit Rukun Palembang adalah koperasi yang bergerak dibidang simpan pinjam. Selama ini, sistem transaksi simpan pinjam masih menggunakan cara manual dalam prosesnya. Koperasi memberikan pinjaman dengan ketentuan kriteria-kriteria, dimana proses penilaian kriteria masih dilakukan secara manual, dalam penentuan pemberian pinjaman masih dilakukan dengan banyak berkas secara manual, apabi…
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- xiv, 56 hlm.; Ilus.; 29 cm
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- T1277332023
SISTEM MONITORING DETAK JANTUNG DAN SUHU TUBUH BERBASIS IOT (INTERNET OF THINGS)
Detak jantung (bpm) dan suhu tubuh adalah dua hal yang diukur oleh para ahli medis untuk mengetahui kondisi kesehatan mental dan fisik seseorang dalam aspek medis. Saat ini pemeriksaan kondisi kesehatan masih banyak dilakukan secara manual yang mana kurang praktis dan efisien.Oleh karena itu, dengan dibuatnya projek ini diharapkan akan mudah untuk memantau kondisi kesehatan dari jarak jauh. Sen…
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- xiv, 44 hlm.; Ilus.; 29 cm
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- T1048662023
SISTEM PAKAR PREDIKSI KERUSAKAN PADA SMARTPHONE DENGAN MENGGUNAKAN METODE CAS…
The use of smartphones from year to year is always increasing, with increasing use, the damage to smartphones also increases. The reason is that not all smartphone users are sensitive about damage to smartphones, most of them only realize that the smartphone has suffered very heavy damage, and when it comes to the technician it takes time to identify the damage to the smartphone, an expert syst…
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- xv, 106 hlm.; ilus.; 29 cm
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- T864522022
SISTEM PAKAR PENYAKIT LAMBUNG (DIGESTIVE) MENGGUNAKAN METODE CASE BASED REASO…
Stomach disease is a disease that can not be underestimated because the stomach is one of the vital organs where it can cause other diseases to occur and can lead to death if not treated immediately. The availability of medical services are decreasing in remote areas, this makes it difficult for people to find an expert to diagnose certain diseases especially stomach disease. There is a higher …
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- xvii, 90 hlm.; Ilus.; 29 cm
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- T1271822023
SISTEM PAKAR DIAGNOSA PENYAKIT GIGI DAN MULUT PADA MANUSIA DENGAN METODE CERT…
Dental and oral health is very important to maintain because it has a big influence on the overall health of the body. Efforts that can be made to maintain healthy teeth and mouth are to maintain cleanliness and carry out periodic checks. However, there are many obstacles that cause people toignore oral health problems and result in dental and oral disease being included in the list of the top …
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- xii, 76 hlm.; Ilus.; 29 cm
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- T1034242022
KLASIFIKASI TINGKAT KEPARAHAN PRA KANKER SERVIKS PADA CITRA VIA MENGGUNAKAN CNN
The aim of this study is to classify cervicalpre cancer images using Convolutional Neural Network (CNN) method. The dataset of cervical precancer images was evaluated using various CNN models that implemented data augmentation of the second type. The research findings indicate that the CervicoNet model with 200 epochs, a learning rate of 10-3, and a batch size of 32 achieved the best accuracy o…
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- xiv, 66 hlm.; ilus.; 29 cm
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- T1262222023
SISTEM PAKAR IDENTIFIKASI KERUSAKAN MOBIL MENGGUNAKAN METODE TSUKAMOTO
Kerusakan pada mobil sebagian besar terjadi dikarenakan kelalaian dari pemilik mobil untuk melakukan perawatan dan pengecekan kondisi kendaraan secara berkala, sebagian besar pemilik mobil bahkan tidak menyadari bahwa kondisi mobil yang digunakan sudah tidak lagi baik dan memerlukan perawatan guna mencegah kerusakan yang lebih serius dikemudian hari. Dalam Skripsi ini penulis merancang sebuah s…
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- xvii, 130 hlm.; ilus.; 29 cm
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- T1270082023
SMART ATTENDANCE SYSTEM MENGGUNAKAN CONVOLUTIONAL NEURAL NETWORKS (CNN)
Face clasification using the convolutional neural networks method has become an interesting research topic in recent years. development method using convolutional neural networks and facenet architecture. Research by collecting primary data from direct observation, in completing this research is of course the FaceNet model. The FaceNet model that has been built is based on the configuration tha…
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- xvi, 100 hlm.; ilus.; 29 cm
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- T875952023
DIAGNOSA PENYAKIT MATA MENGGUNAKAN METODE NAIVE BAYES DAN FORWARD CHAINING
Pada penelitian ini digunakan metode Naîve bayes dan Forward Chaining untuk mendiangnosa suatu penyakit mata. Data yang digunakan untuk penelitian terdiri dari 49 gejala dan 15 jenis penyakit mata. Terdapat dua tahapan pada sistem ini, dimana pertama pasien diminta untuk menginputkan gejala — gejala yang dialami dan selanjutnya sistem akan secara otomatis menampilkan hasil diagnosa dari peny…
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- viii, 48 hlm.; ilus.; 29 cm
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- T905682023
DETEKSI ABNORMALITAS STRUKTUR JANTUNG ANAK DENGAN METODE MASK REGION CONVOLUT…
Detecting abnormal heart structures in infant is an important issue in the field of medicine. One method that can be used to detect abnormal heart structures in children is by using the Mask Region Convolutional Neural Network (Mask-RCNN) method. The process of training MRCNN in detecting abnormal heart structures in children can be done by utilizing well-segmented and labeled heart image datas…
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- xiv, 106 hlm.; ilus.; 29 cm
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- T968652023
PENGENALAN EMOSI BERDASARKAN SUARA MENGGUNAKAN METODE SUPPORT VECTOR MACHINE …
Speaking is not only used to convey information but can also show a person's emotional state. Emotion recognition aims to help the machine to recognize emotions based on speech patterns issued by a person. Some of the problems found are how to find effective voice features and build a good model for emotion recognition. This study aims to identify seven types of emotions, namely anger, disgust,…
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- xix, 104 hlm.; ilus.; 29 cm
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- T880942023
MULTIVARIATE TIME SERIES FORECASTING TANDA VITAL PASIEN UNIT PERAWATAN INTENS…
Time series forecasting (TSF) is the task of predicting future values of a particular time sequence. It used in various fields including forecast vital signs data. Vital signs data that are include five parameters; heart rate, blood pressure, oxygen saturation, respiratory rate, and body temperature. Abnormal vital signs help medical practitioners about potential health problems. This research …
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- viii, 64 hlm.; ilus.; 29 cm
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- T884582023
PERBANDINGAN METODE SUPPORT VECTOR MACHINE DAN BACKPROPAGATION NEURAL NETWORK…
Personality Classification based on handwriting images was not easy, because every handwriting has a unique pattern. Unique patterns in handwriting, such as the degree of slope and spacing between letters. This study aims to develop software that can classify personality based on writing using the support vector machine and backpropagation neural network method. This study uses 1,000 data with …
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- xvii, 137 hlm.; ilus.; 29 cm
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- T868462023
PENERAPAN CASE BASED REASONING UNTUK MENDIAGNOSIS PENYAKIT LAMBUNG MENGGUNAKA…
Common gastric diseases are ulcers (gastritis), dyspepsia, GERD, stomach cancer, and peptic ulcers. Based on WHO data from the 8 countries surveyed, Indonesia is ranked 4th with a percentage of 40.85% for the incidence rate of stomach disease. The high incidence of gastric disease has resulted in an overcrowding of patients and a limited number of doctors to treat them. This research was develo…
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- xvi, 75 hlm.; ilus.; 29 cm
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- T869332023
PERBANDINGAN METODE CERTAINTY FACTOR DAN METODE DEMPSTER SHAFER PADA DIAGNOSA…
Sistem pakar digunakan untuk menirukan penalaran seorang pakar agar komputer dapat menyelesaikan masalah. Beberapa metode yang dapat digunakan seperti Certainty Factor dan Dempster Shafer. Certainty Factor merupakan tahapan atau solusi yang ditetapkan dalam memecahkan suatu permasalahan dalam tingkat kepastian pada Sistem Pakar. Certainty Factor digunakan untuk mencari hasil diagnosa dari penya…
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- xxii, 123 hlm.; ilus.; 29 cm
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- T897022023
HIGH ORDER PADA AUTOMATIC CLUSTERING FUZZY TIME SERIES UNTUK PERAMALAN JAKART…
Saham adalah salah satu jenis investasi populer di era ini yang menawarkan keuntungan tinggi dengan resiko yang tinggi juga. Salah satu cara untuk meminimalkan kerugian saat investasi adalah melihat perkembangan indeks harga saham. Salah satu indeks harga saham yang tercatat di Bursa Efek Indonesia (BEI) adalah Jakarta Stock Exchange (JKSE). JKSE atau sering disebut indeks harga saham gabungan …
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- xvi, 50 hlm.; ilus.; 29 cm
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- T970622023
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