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Found 278 from your keywords: subject="Jurusan Teknik Inform...
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PENCARIAN JUDUL KERJA PRAKTIK PROGRAM STUDI TEKNIK INFORMATIKA S1 DENGAN METO…
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Jaya, Agung Sukrisna

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
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KLASIFIKASI RAMBU LALU LINTAS MENGGUNAKAN CONVOLUTIONAL NEURAL NETWORK
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Hisbullah, Muhammad Azka

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
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DIALOGUE HISTORY HANDLING PADA E-COMMERCE CHATBOT BERBASIS FINITE STATE MACHINE
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Musdalifa, Nilam

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
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PENDETEKSIAN OBJEK UNTUK PENYANDANG TUNANETRA MENGGUNAKAN METODE YOLO
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Shafiyyurrahman, Asyraf

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
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OBJEK TRACKING PENGUNJUNG PERPUSTAKAAN MENGGUNAKAN METODE HISTOGRAM OF ORIENT…
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Putra, Abeng Andika 

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
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PENDETEKSIAN PEMAKAIAN MASKER WAJAH MENGGUNAKAN CONVOLUTIONAL NEURAL NETWORK
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Nouval, Rezky Fachri

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
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PERAMALAN HARGA JUAL BATUBARA PT. BUKIT ASAM TANJUNG ENIM MENGGUNAKAN METODE …
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Rahayu, Friska Novita

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
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PARAPHRASE GENERATION UNTUK TEKS BAHASA INDONESIA MENGGUNAKAN LONG SHORT TERM…
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Rafika, Tarisa

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
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PENGENALAN WAJAH BERMASKER SECARA REAL-TIME MENGGUNAKAN METODE YOLOv5
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Pakomgan, Rafly

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
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 KLASIFIKASI CITRA TUMOR OTAK BERBASIS CONVOLUTIONAL NEURAL NETWORKS (CNN)
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Hutahaean, Jerrel Adriel Archibald

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
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PENGHAPUSAN DERAU PADA CITRA MAGNETIC RESONANCE IMAGING (MRI) OTAK MENGGUNAKA…
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Andriansyah, Angga Dwi 

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
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PERBANDINGAN PERFORMA METODE KNN DAN LMKNN TERHADAP KLASIFIKASI IRIS DENGAN V…
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Abdillah, Muhammad Dzaky

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
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ANALISIS SENTIMEN TERHADAP PROGRAM MERDEKA BELAJAR KAMPUS MERDEKA (MBKM) PADA…
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Latifah, Adawiyyah

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
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KLASIFIKASI KOMENTAR BULLY PADA TIKTOK MENGGUNAKAN SUPPORT VECTOR MACHINE DAN…
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Putri, Amelia

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
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SISTEM PENDUKUNG KEPUTUSAN PEMILIHAN KETUA UMUM DAN PENGURUS INTI DENGAN MENG…
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Zulkardiansyah, Haris

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
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PERBANDINGAN HASIL CLUSTER FUZZY C-MEANS DENGAN HYBRID FUZZY C-MEANS PARTICLE…
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Ardan, Muhammad Fachri

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
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PEMODELAN TOPIK PADA TWEET BAHASA INDONESIA MENGGUNAKAN BERTOPIC
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Diyasa, Fahmi Guntara

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
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ANALISIS KINERJA KOMPRESI CITRA DIGITAL DENGAN KOMPARASI DCT DAN DWT
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Az, Fadhilah Akbar Putra

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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Call Number
2307003423
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KLASIFIKASI MULTILABEL KOMENTAR PADA TWITTER MENGGUNAKAN LONG SHORT TERM MEMORY
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Armando, Fadel

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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Call Number
T1274612023
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ANALISIS SENTIMEN PELAYANAN BPJS MENGGUNAKAN ALGORITMA NAIVE BAYES DAN PARTIC…
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Muhammad, Syaugi Afif

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
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ANALISIS SENTIMEN OPINI PUBLIK MENGENAI HARGA MINYAK BBM DAN MINYAK GORENG PA…
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Pratama, Muhammad Tiansyah

The rapid growth of social media has made it easier for people to express their opinions on online platforms such as blogs, web forums, and social media platforms like Instagram, Facebook, and Twitter. Information and comments spread on Twitter encompass various types, including positive, negative, and neutral remarks. Currently, extensive research has been conducted in the field of Natural Lan…

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xv, 70 hlm.; ilus.; 29 cm
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Call Number
T1225322023
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KLASIFIKASI MULTILABEL KOMENTAR PADA TWITTER MENGGUNAKAN LONG SHORT TERM MEMORY
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Armando, Fadel

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…

Edition
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ISBN/ISSN
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Collation
xv, 77 hlm.; Ilus.; 29 cm
Series Title
-
Call Number
T1274612023
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PERBANDINGAN METODE GAUSSIAN FILTER DAN MEDIAN FILTER DALAM PERBAIKAN KUALITA…
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Kurniadi, Egi

Akses teknologi informasi dan komunikasi tidak dapat dipungkiri sangat mudah didapat dari berbagai sumber, seperti pengambilan gambar atau citra pada telepon genggam. Citra yang dihasilkan oleh telepon genggam tidak sedikit yang hasilnya kurang baik kualitasnya. Citra yang mengalami penurunan mutu menjadi lebih sulit diinterpretasikan karena informasi yang disampaikan oleh citra tersebut kurang…

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xiv, 55 hlm.; ilus.; 29 cm
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Call Number
T949842022
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OPTIMASI FUZZY TIME SERIES CHENG MENGGUNAKAN PARTICLE SWARM OPTIMIZATION UNTU…
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Albimanzura, R.M. Farhan Rizky

The price of Brent oil is the first choice in investor list of commodities and its constant fluctuations lead to instability in the economy. Therefore, it is important to accurately predict oil price trends to increase profits for investors and benefit the wider community. In this study, the Fuzzy Time Series Cheng model will be used to predict the price of Brent oil. This model will be optimiz…

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xiii, 72 hlm.; ilus.; 29 cm
Series Title
-
Call Number
T873502022
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SISTEM PAKAR PREDIKSI KERUSAKAN PADA SMARTPHONE DENGAN MENGGUNAKAN METODE CAS…
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Fahlephi, Valiant Reza

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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Call Number
T864522022
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KEYPHRASE EXTRACTION BERBAHASA INDONESIA MENGGUNAKAN METODE POSITIONRANK
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Dwitama, Bintang

Keyphrase determination is not a difficult task for information analysts. However, specify keyphrases for hundreds or even thousands of articles will take time and effort of the analysts. To ease the work, it needs to be made a system of automatic keyphrase extraction. The construction of this system passes the stages of preprocessing, scoring, and ranking the keyphrase candidates. This researc…

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vii, 87 hlm.; ilus.; 29 cm
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T873222022
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KLASIFIKASI KUALITAS SINYAL ADS-B PADA DATA KEBERANGKATAN PENERBANGAN DI BAND…
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Yousnaidi, Rani Silvani

The high risk of aircraft accidents, 63% during takeoff and 49% during the landing process, can be analyzed through ADS-B signal data owned by flights. The data collected through the AERO-TRACK application is processed with the aim of knowing the quality of ADS-B signals at Sultan Mahmud Badaruddin II Airport and the method that has the best performance in classifying imbalanced data into 4 dif…

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xiv, 70 hlm.; ilus.; 29 cm
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T1132082023
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IDENTIFIKASI PELECEHAN SEKSUAL PADA INSTAGRAM DENGAN METODE SUPPORT VECTOR MA…
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Akbar, Otto Tirtayasa

The existence of social media makes many people upload their experiences, either in the form of writing or multimedia. The reactions from these uploads also vary, some respond well in the form of praise, suggestions and positive comments, some respond badly such as giving reproaches, insults and even harassing sentences. This study aims to identify whether a sentence on Instagram includes sexua…

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xiii, 64 hlm.; ilus.; 29 cm
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-
Call Number
T880692022
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KLASIFIKASI TEKS KOMENTAR PRODUK PADA TOKOPEDIA MENGGUNAKAN METODE LONG SHORT…
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Rabbani, Muhammad Ariq

Text data in comments is often unstructured, so to classify comments requires the application of appropriate methods. The method used in this study involves the use of algorithms from Deep Learning, namely Long Short-Term Memory (LSTM) to classify texts. In this study using 4060 imbalance dataset so that an Upsampling method is needed to adjust the distribution of data, so that the distribution…

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xv, 62 hlm.; Ilus.; 29 cm
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-
Call Number
T1271172023
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ANALISIS SENTIMEN MENGGUNAKAN PSEUDO NEAREAST NEIGHBOR DAN TF-IDF TEXT VECTOR…
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Pratama, Yogi

Twitter is one of the social media that is often used by researchers as an object of research to conduct sentiment analysis. Twitter is also a good indicator in influencing research, problems that often arise in research in the field of sentiment analysis are the many factors such as the use of colloquial or informal language and other factors that can affect sentiment results. To improve the r…

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x,76 hlm.; Ilus.; 29 cm
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-
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T905312021
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