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KLASIFIKASI MULTICLASS SINYAL ELEKTROKARDIOGRAM BERBASIS DEEP LEARNING MENGGU…
The use of Deep Learning (DL) models in signal processing aims to improve efficiency and effectiveness in extracting information from available data. This research aims to classify heart disease classes in a dataset of medical signals derived from Electrocardiograms. In this study, classification is performed on three heart disease classes: Normal, AF, and AFL. The method used in this research …
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- xiv, 50 hlm.; ilus.; 29 cm
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- T1158442023
ANALISIS USER EXPERIENCE DISNEY+ HOTSTAR DENGAN MENGGUNAKAN USER EXPERIENCE Q…
With the advancement of the times, people have started using apps to fulfill their daily needs, such as reading news, shopping, and watching movies. Disney+ Hotstar is a video streaming platform that provides various types of movies. There are 107 people who have used the Disney+ Hotstar application throughout Indonesia as the subject of this research. The problem identified is why users prefer…
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- xv, 28 hlm.; Ilus.; 29 cm
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- T1406162024
KEYPHRASE EXTRACTION PADA TEKS BERBAHASA INDONESIA MENGGUNAKAN METODE TOPICRANK
This study investigates the implementation as well as the performance of the application of TopicRank method on performing keyphrase extraction towards Indonesian text. The utilisation of keyphrase as one of the tools on managing the growing textual information drives the need for a relevant keyphrase extraction methodology. By developing the keyphrase extraction system, applying the extraction…
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- xix, 65 hlm.; Ilus.; 29 cm
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- T1192792023
ANALISIS SENTIMEN CALON PRESIDEN 2024 PADA TWITTER MENGGUNAKAN SUPPORT VECTOR…
Twitter has many features that can be used. One of these features is that users can share tweets or news in the form of text, photos or videos. One of the useful data on information is sentiment analysis. To find out how much the response from the public is related to the 2024 Indonesian presidential election, is it more inclined to positive sentiment, negative or neutral sentiment. One method …
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- xiv, 65 hlm.; Ilus.; 29 cm
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- T1274722023
SISTEM TANYA JAWAB UNTUK PERTANYAAN APA MENGGUNAKAN METODE PENDEKATAN JARAK
Question Answering System (QAS) is a system designed to generate information quickly in the form of natural language. The information produced by this system consists of short text snippets as answers to user questions. In this research on Question Answering System (QAS), users can obtain answers related to non-factoid information questions. The generated information is close domain, sourced fr…
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- xv, 65 hlm.; Ilus.; 29 cm
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- T1254072023
ANALISIS DAN PERANCANGAN UI/UX PADA SISTEM INFORMASI AKADEMIK UNSRI BERBASIS …
As far as we know, Sriwijaya University has an academic information system or SIMAK that helps Sriwijaya University’s people, especially students manage their needs on academic data. Since 2008, Sriwijaya University’s academic information system is only available on the website. As of the wide use of smartphones, many students have accessed academic information systems via mobile. However, …
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- xvi, 88 hlm.; Ilus.; 29 cm
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- T1135902023
ANALISIS SENTIMEN ULASAN PRODUK BERBAHASA INDONESIA MENGGUNAKAN DEEP LEARNING…
The phenomenon of electronic commerce arises as a result of the rapid development of technology and communication media. Product reviews are important information for users of electronic commerce media, but reviews are often written incorrectly. The Deep Learning method is a method that is developing very rapidly at this time. We used the Convolutional Neural Network method with the Word2Vec fe…
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- xvi, 98 hlm.; Ilus.; 29 cm
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- T1269812023
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
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
PENGENALAN OBJEK SECARA REAL TIME MENGGUNAKAN CONVOLUTIONAL NEURAL NETWORKS M…
Object recognition is a technology related to Computer Vision which can detect and recognize objects in digital images. However, the process of detecting and recognizing objects is something that is very difficult to do by a computer due to the many factors that can affect the shape of the object in a digital image. In this study, researchers will discuss object recognition in real time using c…
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- xv, 40 hlm.; Ilus.; 29 cm
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- T1281462023
PENCARIAN JUDUL KERJA PRAKTIK PROGRAM STUDI TEKNIK INFORMATIKA S1 DENGAN METO…
Case Base Reasoning (CBR) is a case solving technique based on experience in cases that have occurred before with the highest similarity. CBR is used to search for practical work titles. TF-IDF is applied to process the vectorization of each practical work title word and Cosine Similarity for the calculation of similarity values. The system can search either in the form of titles or keywords. T…
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- xv, 40 hlm.; Ilus.; 29 cm
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- T1271122023
KLASIFIKASI RAMBU LALU LINTAS MENGGUNAKAN CONVOLUTIONAL NEURAL NETWORK
Classification of traffic signs is considered as one of the most important parts of the Advance Driver Assistance System (ADAS) with the main objective of reducing the number of road accidents and overcoming wrong route selection. Convolutional Neural Network (CNN) is a type of neural network that is commonly used in image data. CNN can be used to recognize and detect objects in an image. Image…
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- xv, 44 hlm.; Ilus.; 29 cm
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- T1280792023
DIALOGUE HISTORY HANDLING PADA E-COMMERCE CHATBOT BERBASIS FINITE STATE MACHINE
Chatbots are very popular as a means to enhance customer interactions and facilitate the shopping process in the e-commerce field. This research discusses an innovative approach utilizing chatbots based on the Finite State Machine (FSM) to facilitate the easy laptop ordering process within the e-commerce environment. The Finite State Machine (FSM) is a mathematical model used to represent syste…
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- xvi, 101 hlm.; Ilus.; 29 cm
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- T1257122023
PENDETEKSIAN OBJEK UNTUK PENYANDANG TUNANETRA MENGGUNAKAN METODE YOLO
A visually impaired individual faces limitations in mobility, which can affect their ability to communicate and interact with the surrounding environment. External help such as human assistance, trained dogs, and white canes are commonly used, but the availability and dependence on such assistance pose challenges. This research develops a mobile-based application that employs the You Only Look …
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- xvi, 66 hlm.; Ilus.; 29 cm
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- T1254852023
OBJEK TRACKING PENGUNJUNG PERPUSTAKAAN MENGGUNAKAN METODE HISTOGRAM OF ORIENT…
Surveillance in the library is significantly aided by the presence of CCTV surveillance cameras installed in specific pathways frequented by library visitors. Given the substantial number of visitors, it becomes essential to record the visitor count to gauge the extent of library utilization. Detection and tracking of human objects pose unique challenges in developing software on computers to r…
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- xiv, 56 hlm.; Ilus.; 29 cm
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- T1271252023
PENDETEKSIAN PEMAKAIAN MASKER WAJAH MENGGUNAKAN CONVOLUTIONAL NEURAL NETWORK
Pemakaian masker merupakan salah satu langkah untuk mencegah penyebaran suatu penyakit. Pemakaian masker tersebut berdasarkan kebutuhan, seperti sedang sakit, sedang melakukan kontak dekat dengan orang yang terinfeksi penyakit menular. Pemakaian masker ini dianjurkan di tempat-tempat tertentu seperti UGD, rumah sakit, dan KRL. Deteksi pemakaian masker wajah dapat dilakukan dengan mendeteksikan …
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- xiv, 66 hlm.; Ilus.; 29 cm
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- T1257942023
PERAMALAN HARGA JUAL BATUBARA PT. BUKIT ASAM TANJUNG ENIM MENGGUNAKAN METODE …
Coal is one of the natural resources that is much targeted by the world by having a fairly high sales price. Erratic coal selling prices can affect the income of companies, regions and even countries and surrounding communities. Therefore, a system is needed to forecast future coal prices which will later help the decision-making process for the company. Forecasting is carried out using the ave…
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- xvi, 66 hlm.; Ilus.; 29 cm
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- T1137012023
PARAPHRASE GENERATION UNTUK TEKS BAHASA INDONESIA MENGGUNAKAN LONG SHORT TERM…
In the field of Natural Language Processing, there is a research area called Paraphrase Generation, which refers to the process of producing sentences that are semantically equivalent to the input sentence. With the advancement of neural methods, paraphrase generation, which previously relied on template-based approaches or static machine translation, can now utilize one of the neural methods, …
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- xiv, 56 hlm.; Ilus.; 29 cm
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- T1254262023
PENGENALAN WAJAH BERMASKER SECARA REAL-TIME MENGGUNAKAN METODE YOLOv5
The government requires people to wear face masks to reduce the transmission of the COVID-19 virus. Face recognition system becomes less effective at recognizing masked faces. In this research, a software is developed to recognize masked face in real-time using the YOLOv5 method. Training of the model was done with 9 different configurations of epoch and batch size, of which the best result was…
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- xx, 334 hlm.; Ilus.; 29 cm
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- T871252023
KLASIFIKASI CITRA TUMOR OTAK BERBASIS CONVOLUTIONAL NEURAL NETWORKS (CNN)
Brain tumors are still a dangerous and deadly disease that can affect anyone, including children. Brain tumors can be detected by Magnetic Resonance Imaging (MRI) examination. This study aims to classify brain tumors and non-brain tumors from MRI image processing results using the Convolution Neural Networks (CNN) method. This research uses the architecture of VGG-16, ResNet-50, InceptionV3, Mo…
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- xviii, 65 hlm.; Ilus.; 29 cm
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- T933752023
PENGHAPUSAN DERAU PADA CITRA MAGNETIC RESONANCE IMAGING (MRI) OTAK MENGGUNAKA…
Magnetic resonance imaging (MRI) images often contain noise, for example in brain imaging. The noise removal algorithm used is Convolutional Autoencoder Network (CAN) which produces a superior noise reduction effect compared to some other advanced algorithms. This research uses a dataset from Kaggle that contains 253 brain MRI images. The noise removal results using CAN on images with Gaussian …
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- xviii, 56 hlm.; Ilus.; 29 cm
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- T1063132023
PERBANDINGAN PERFORMA METODE KNN DAN LMKNN TERHADAP KLASIFIKASI IRIS DENGAN V…
The KNN (K-Nearest Neighbor) method is a classification technique that relies on concepts between data to predict new data classes. KNN has a variation of the method namely, LMKNN (Local Mean Based K-Nearest Neighbor) by using the average of several classes for more accurate predictions. To identify iris flowers based on their characteristics, namely, the length and width of the petals and the …
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- xiv, 56 hlm.; Ilus.; 29 cm
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- T1274272023
ANALISA DATA KECELAKAAN PESAWAT DI INDONESIA BERDASARKAN SERTIFIKASI OPERATOR…
Indonesia adalah negara kepulauan dimana transportasi udara menjadi salah satu alternatif yang cepat,efisien dan juga ekonomis bagi pengangkutan antar pulau atau daerah. Berdasarkan data Komite Nasional Keselamatan Transportasi (KNKT) menyatakan bahwa kasus kecelakaan 32% terjadi di bandar udara. Oleh karna itu pemerintah mewajibkan setiap pihak operator penerbangan untuk menjalani suatu proses…
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- xii, 56 hlm.; ilus.; 29 cm
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- T1281402023
ANALISIS SENTIMEN TERHADAP PROGRAM MERDEKA BELAJAR KAMPUS MERDEKA (MBKM) PADA…
Twitter merupakan salah satu platform sosial media yang paling banyak penggunanya di Indonesia. Hal itu disebabkan karena Twitter menjadi media penyampaian opini yang luas dan disenangi oleh anak muda. Topik yang sering menjadi bahasan salah satunya adalah program Merdeka Belajar Kampus Merdeka (MBKM). Sejak berjalannya program ini, muncul banyak pro dan kontra dari masyarakat, terutama di kala…
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- xiv, 60 hlm.; Ilus.; 29 cm
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- T1147282023
REKONSTRUKSI CITRA ULTRASONOGRAFI TRANSCEREBELLAR 2 DIMENSI MENJADI TRANSCERE…
Reconstruction of two-dimensional transcerebellar images into three�dimensional transcerebellar has an important role in diagnosis and treatment planning in neurology. This study proposes the 3D-FHNet method to produce an accurate three-dimensional representation of transcerebellar images. The study began with segmentation of transcerebellar objects on well-labeled ultrasound datasets. The se…
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- xvi, 61 hlm.; Ilus.; 29 cm
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- T1249652023
PENERAPAN SMART TRANSPORTATION PADA SMART CITY UNTUK MENENTUKAN RUTE TERBAIK …
In this study using the You Only Look Once Version 8 (YOLOv8) algorithm to detect and count the number of vehicles based on CCTV recordings, The Recurrent Neural Network (RNN) method optimized with Grid Search (GS) is used to predict road density conditions so as to get smooth, medium, congested output, and to determine the best route using the A-Star algorithm. This study uses a dataset of veh…
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- xvi, 118 hlm.; Ilus.; 29 cm
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- T1217862023
PENGOLAHAN CITRA TRANSCEREBELLAR PADA KEPALA JANIN DARI CITRA ULTRASONOGRAFI …
Ultrasonography (USG) is an electronic technology that uses sound waves with high frequencies above 20,000 hertz to produce images of the structure of organs in the body. Ultrasound is usually used by doctors to detect the contents of pregnant women. However, the inspection process takes a long time and requires special expertise. This is a challenge, especially to detect objects that are insid…
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- xixx, 140 hlm.; Ilus.; 29 cm
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- T1262692023
PENENTUAN JALUR TERBAIK DENGAN MENGGUNAKAN METODE ARTIFICIAL NEURAL NETWORK D…
Traffic congestion in Indonesia remains a complex and unresolved issue. With the advancement of Artificial Intelligence (AI), Machine Learning, and Optimization, there has been a recent innovation to address this traffic problem. This innovation involves determining optimal routes by harnessing these advanced technologies. Artificial Intelligence (AI), Machine Learning, and Optimization technol…
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- xvii, 111 hlm.; Ilus.; 29 cm
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- T1291082023
MODEL KEPUTUSAN CERDAS DALAM MENENTUKAN JALUR TERBAIK TRANSPORTASI PADA SMART…
This research analyzes various methods and algorithms in the context of object detection and optimal route determination in vehicle traffic in the city of Palembang, as a step towards developing the concept of a smart city. The YOLOv3 method is employed to detect vehicles in video recordings, yielding an accuracy ranging from 72.72% to 79.35% for the categories of motorcycles and cars. The over…
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- xv, 102 hlm.; Ilus.; 29 cm
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- T1287742023
PENENTUAN JALUR TERBAIK PADA SMART TRANSPORTATION DALAM SMART CITY MENGGUNAKA…
The best route determining system is part of the Intelligent Transportation concept where cities that implement this concept are called Smart Cities. The study used an object detection system called You Only Look Once version 8 (YOLOv8) to detect and calculate the number of vehicles based on CCTV recordings. In addition, it uses Recurrent Neural Network (RNN) and Long Short-Term Memory (LSTM) o…
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- xvii, 183 hlm.; Ilus.; 29 cm
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- T1214442023
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