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KLASIFIKASI JUDUL BERITA HOAX MENGGUNAKAN METODE SUPPORT VECTOR MACHINE (SVM)…
In recent years, the spread of fake news or hoaxes has become a serious problem that can influence public opinion. Therefore, this research aims to determine the performance of the Support Vector Machine (SVM) and Synthetic Minority Oversampling Technique (SMOTE) algorithms for classifying. The Support Vector Machine (SVM) approach was chosen because of its ability to handle classification prob…
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- xv, VI-2 hlm.; ilus.; tab.; 29 cm
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- T1494422024
CLUSTERING KUNJUNGAN WISATAWAN MANCANEGARA DI INDONESIA DENGAN METODE DBSCAN
The tourism sector is one of the sectors that affects approximately 4% of the total economy in Indonesia. One of them is the activity of visits from foreign tourists to Indonesia which always fluctuates every year, especially during the Covid-19 pandemic which caused a drastic decline. This research discusses the Clustering of Foreign Tourist Visits in Indonesia with the DBSCAN Method. The data…
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- xv, xviii hlm.; ilus.; tab.; 29 cm
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- T1497992024
PENENTUAN POLA PEMINJAMAN BUKU PERPUSTAKAAN UNIVERSITAS SRIWIJAYA MENGGUNAKAN…
The problem of unorganized book borrowing in libraries can interfere with the effectiveness of services and collection management. This research analyzes book lending patterns in Sriwijaya University library using Apriori algorithm, which identifies associations and hidden patterns in lending data, with data from 2019 to 2023. The test results show that in 2021 266 rules were formed with the hi…
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- xix, xxv hlm.; tab.; ilus.; 29 cm
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- T1500352024
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 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
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
KLASIFIKASI KOMENTAR BULLY PADA TIKTOK MENGGUNAKAN SUPPORT VECTOR MACHINE DAN…
TikTok has been named the world’s most popular social media platform because it has been downloaded by more than 1 billion users. The high level of TikTok use makes it allows for free opinion to anyone. It can cause bullying on TikTok because some users do not understand the ethics of socializing through social media. The victims experienced higher levels of depression than other verbal acts …
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- xx, 86 hlm.; Ilus.; 29 cm
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- T916022023
SISTEM PENDUKUNG KEPUTUSAN PEMILIHAN KETUA UMUM DAN PENGURUS INTI DENGAN MENG…
The election of the chairman and core management is a routine activity carried out when a management the ogranization has expired in office. However, in some cases in determining the new management of an organization, it does not really set a mature calculation, even though the administrators in an organization have a very important role in the course of an organization. In serious cases an org…
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- xi, 87 hlm.; Ilus.; 29 cm
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- T1253582023
PERBANDINGAN HASIL CLUSTER FUZZY C-MEANS DENGAN HYBRID FUZZY C-MEANS PARTICLE…
Algortima Fuzzy C-Means memberi kebebasan dalam hal jumlah cluster yang akan dibuat dan dapat melakukan clustering lebih dari satu variabel secara sekaligus. Pada kondisi awal, pusat cluster ini masih belum akurat. Tiap-tiap data memiliki derajat keanggotaan untuk tiap-tiap cluster. Dengan cara memperbaiki pusat cluster dan nilai keanggotaan tiap-tiap data secara berulang, maka akan dapat dilih…
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- xv,64 hlm.; Ilus.; 29 cm
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- T712492021
PEMODELAN TOPIK PADA TWEET BAHASA INDONESIA MENGGUNAKAN BERTOPIC
The increasing use of information and communication technology in recent years has had a significant impact on the trend of communicating and expressing aspirations through social media, especially the Twitter platform. Every tweet on Twitter carries information about a particular topic that can be identified through the Topic Modeling method. Topic Modeling is a tool used to uncover hidden top…
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- xiii, 54 hlm.; Ilus.; 29 cm
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- T1271882023
ANALISIS KINERJA KOMPRESI CITRA DIGITAL DENGAN KOMPARASI DCT DAN DWT
Digital images that have a large size require large storage. One way to reduce the size of the image is by compression. Compression is the process of minimizing the size of an image to produce a denser or lighter digital representation. In this study using the DCT and DWT Algorithms. The research data are as many as 5 objects, namely animals, clouds, flowers, nature and people. Image data forma…
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- xvi, 64 hlm.; Ilus.; 29 cm
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- 2307003423
KLASIFIKASI MULTILABEL KOMENTAR PADA TWITTER MENGGUNAKAN LONG SHORT TERM MEMORY
Twitter is one of the most popular social media platforms and users can write comments in the form of tweets freely without any restrictions. These tweets can contain various blasphemies and toxic comments. Toxic comments are comments that are rude, disrespectful, unreasonable, or even to the point of humiliating someone. They can cause serious problems on social media and some people will avoi…
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- xv, 77 hlm.; Ilus.; 29 cm
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- T1274612023
ANALISIS SENTIMEN PELAYANAN BPJS MENGGUNAKAN ALGORITMA NAIVE BAYES DAN PARTIC…
BPJS is a legal entity aimed at providing healthcare coverage to the public. However, the increasing number of people using BPJS services has generated both support and opposition among the community. This research aims to analyze public opinions regarding the Social Security Administration Agency (BPJS) on Twitter. The method employed in this study is the Naïve Bayes Classifier with Particle …
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- vii, 111 hlm.; ilus.; 29 cm
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- T1251982023
Computer Science, Information & General Works 
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