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Found 278 from your keywords: subject="Jurusan Teknik Inform...
First Page Previous 6 7 8 9 10
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ANALISIS SENTIMEN PADA OPINI PUBLIK TENTANG ANGKUTAN ONLINE MENGGUNAKAN METOD…
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Alturino, Ricky

Online transportation provides convenience for people to find transportation services with fixed fares. However, online transportation has shortcomings such as inexperienced drivers, potential delays, and mismatched user expectations. Therefore, sentiment analysis is needed to assess public satisfaction with online transportation. Deep learning approaches such as Convolutional Neural Network (C…

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xvi,72 hlm.; Ilus.; 29 cm
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T1134682023
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ANALISIS SENTIMEN OPINI PUBLIK MENGENAI VAKSINASI COVID-19 MENGGUNAKAN METODE…
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Monica, Cindy

In order to accelerate the handling of the spread of COVID-19 in Indonesia, the Government of the Republic of Indonesia has issued vaccinations for the people of Indonesia at the end of 2020. The vaccination is considered controversial so that it invites many people to give their opinions in various media. This opinion must be considered as an evacuation material so that the vaccination plan th…

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xvi, 64hlm.; Ilus.; 29 cm
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T1286712023
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PENGENALAN KATA DALAM BAHASA ISYARAT INDONESIA (BISINDO) SECARA REAL-TIME MEN…
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Hutauruk, Julia Shakira Pratiwi

Fire disasters that can occur suddenly can affect victims who do not have the ability to hear, so victims use sign language to communicate with firefighters. Limited communication between firefighters and victims will require a lot of time in evacuating victims. With these emergency conditions, researchers developed software to recognize Katas in Indonesian Sign Language (BISINDO) in real-time …

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xiv, 126 hlm.; Ilus.; 29 cm
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Call Number
T1201172023
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PENENTUAN PRODUK WHEY PROTEIN TERBAIK MENGGUNAKAN METODE SIMPLE MULTI ATTRIBU…
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Puspitasari, Vepi

Spyware malware attacks are a significant threat to computer hardware and user privacy. To analyze and make it easier to recognize such attacks effectively, visualization techniques can provide valuable insights into their patterns and characteristics. This research using a machine learning algorithm, Support Vector Machine (SVM). The dataset used in this study is from the CIC MalMem 2022 which…

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xiiix, 91 hlm.; Ilus.; 29 cm
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T1276502023
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PENGAMANAN BASIS DATA POSTGRESQL DENGAN FITUR PENCARIAN KEYWORD MENGGUNAKAN S…
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Hasibuan, Andri Wifaldy

PostgreSQL is a lightweight relational database that requires minimal memory usage when in operation, and it also has flexibility in choosing encryption methods as data security is crucial in a database system. However, PostgreSQL does not have the feature to search encrypted data. Therefore, this study proposes securing the PostgreSQL database with a keyword search feature using Searchable Sym…

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xiv, 74 hlm.; Ilus.; 29 cm
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Call Number
T963772023
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DIAGNOSA PENYAKIT MATA MENGGUNAKAN METODE NAIVE BAYES DAN FORWARD CHAINING
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William, Steven

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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Call Number
T905682023
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KLASIFIKASI JENIS LAHAN MENGGUNAKAN CNN BERBASISKAN CITRA SATELIT
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Maulana, Fuad

Remote sensing is a useful technique for mapping and monitoring geographic areas. Land classification based on satellite imagery is one of the applications of remote sensing. Classifying images manually requires a lot of time and effort. The CNN method can be used to automate the image classification process. However, with various CNN architectures that have been found, it is necessary to condu…

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xv, 99 hlm.; ilus.; 29 cm
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Call Number
T893312023
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PENGENALAN EMOSI BERDASARKAN SUARA MENGGUNAKAN METODE SUPPORT VECTOR MACHINE …
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Warman, Ikhsan 

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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Call Number
T880942023
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KLASIFIKASI KOMENTAR PERUNDUNGAN PADA INSTAGRAM MENGGUNAKAN METODE NAÏVE BAY…
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Vera, Veti

Instagram is a social media that can be reached by various groups and is very popular. But in reality Instagram is abused by some users, for example bullying. Bullies do not realize that the comments they make are acts of bullying. Therefore, the classification of comments on Instagram using the Naïve Bayes Classifier method needs to be done to make it easier for users to find out whether the …

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xv, 57 hlm.; ilus.; 29 cm
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T889122023
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PERBANDINGAN METODE CERTAINTY FACTOR DAN METODE DEMPSTER SHAFER PADA DIAGNOSA…
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Saputra, Wahyu Dwi

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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Call Number
T897022023
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SISTEM PENDUKUNG KEPUTUSAN PEMILIHAN HOTEL TERBAIK MENGGUNAKAN METODE ANALITI…
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Saputra, Yudha

Building a Decision Support System for Choosing the Best Hotel using the Analytical Hierarchy Process (AHP) and Preference Ranking Organization Method For Enrichment Evaluation (PROMETHEE) methods. In designing this decision support system through several stages and processes in order to get good research results. The combination of AHP and PROMETHEE was carried out because the AHP method is ve…

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ix, 87 hlm.; ilus.; 29 cm
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Call Number
T896542023
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HIGH ORDER PADA AUTOMATIC CLUSTERING FUZZY TIME SERIES UNTUK PERAMALAN JAKART…
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Ramadhan, Bayu Catur

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
Series Title
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Call Number
T970622023
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PREDIKSI HASIL PANEN KELAPA SAWIT MENGGUNAKAN FUZZY SUGENO KANG
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Nirwoko, Naufal Pratama

Palm oil plantation plantations in South Sumatra according to Central Vertical Service (BPS, 2021) data decreased by 3,062 tonnes by 2021, down from 2018. Yield is influenced by several factors, such as: environmental influences, culture medium, quality, severe technical culture violations (Yanto et al., 2019). This study aims to make it easier to prepare for the optimization of total oil yield…

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xiv, 72 hlm.; ilus.; 29 cm
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Call Number
T913102023
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FORECASTING SAHAM MENGGUNAKAN METODE CONVULATION NEURAL NETWORKS (CNN) – LO…
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Pratama, Shandy

Stock is one of the financial instruments of the stock market that is in great demand by the public. Stock prices can change over time. There are several factors that cause changes in stock prices. Based on this, a system can predict stock price data using the Convolutional Neural Network (CNN) - Long Short-Term Memory (LSTM) method. The data used in this prediction is data for the last 2 years…

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xiii, 80 hlm.; ilus.; 29 cm
Series Title
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Call Number
T826952023
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SISTEM PENDUKUNG KEPUTUSAN PEMILIHAN SISWA BERPRESTASI MENGGUNAKAN METODE AHP…
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Sadana, Feron

It is very important for outstanding students to be directed and guided to get coaching related to the development of each student's personal potential so that superior and quality students are created. The process of selecting outstanding students can get wrong decisions because the process of selecting outstanding students is based on subjectivity, this allows many selected outstanding studen…

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ISBN/ISSN
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xiv, 87 hlm.; ilus.; 29 cm
Series Title
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Call Number
T870892023
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PENERAPAN SELF-ATTENTIVE NETWORK PADA PENDETEKSIAN CLICKBAIT DI JUDUL BERITA …
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Oktavian, Tiara

Clickbait is a term that describes a title with the aim of attracting the reader's interest by using flashy and provocative word choices. The problem faced if clickbait detection is done manually is that it takes a long time to be done, because it has to compare the content of the news by reading a whole news for each news title. This study intends to developed software that can detect whether …

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xvi, 105 hlm.; ilus.; 29 cm
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Call Number
T868902023
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KLASIFIKASI PENDERITA PENYAKIT DEMAM BERDARAH DENGUE (DBD) DENGAN METODE NAIV…
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Amelia, Suci

Dengue Hemorrhagic Fever (DHF) is a disease caused by infected mosquitoes, especially Aedes albopictus and Aedes aegypti mosquitoes. Dengue hemorrhagic fever is included in the category of dangerous diseases that can cause death. The length of time to know the results of the diagnosis of the disease is an obstacle for sufferers of dengue hemorrhagic fever to be given further treatment. This res…

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xvi, 63 hlm.; ilus.; 29 cm
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Call Number
T859052022
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ANALISIS SENTIMEN MENGGUNAKAN ALGORITMA ARTIFICIAL NEURAL NETWORK
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Yuhafiz, Armenia

Twitter banyak diminati masyarakat untuk mengekespresikan opini dalam kebebasan berpendapat, isu yang sedang hangat yaitu pemilihan presiden 2024. Opini yang dikeluarkan oleh masyarakat dapat merepresentasi elektabilitas calon presiden, salah satu calonnya adalah Anies Baswedan. Penelitian ini bertujuan untuk membuat analisis sentimen kalimat yang dikeluarkan menjadi 2 klasifikasi, yaitu kalima…

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ISBN/ISSN
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xiv, 85 hlm.; ilus.; 29 cm
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Call Number
T885472023
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OPTIMASI METODE SUPPORT VECTOR MACHINE MENGGUNAKAN ALGORITMA PARTICLE SWARM O…
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Damayanti, Aprina

Support Vector Machine is a method in machine learning that can be used to analyze data and sort it into one of two categories. Support Vector Machine has disadvantages in determining the optimal parameter and suitable features, this has an effect on the value of accuracy produced. Therefore, optimization is needed to select the features to be used. This study optimizes the Support Vector Machi…

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vi, 109 hlm.; ilus.; 29 cm
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Call Number
T880902023
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PARALLEL PROCESSING FOR STEMMING AND POS-TAGGING IN INDONESIAN TEXT
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Rahmadani, Muhammad Wahyu

Stemming and POS-Tagging is part of the pre-processing of raw text data in the natural language processing field which aims to produce more structured data and as an initial step that greatly affects processing performance before being processed at a further stage. In its application for Indonesian text, the efficiency level of process performance for these two stages is still low, especially f…

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xiv, 91 hlm.; ilus.; 29 cm
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Call Number
T866392023
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PERANKINGAN DAERAH MISKIN DENGAN MENGGUNAKAN ALGORITMA FUZZY LOGIC MODEL TAHANI
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Alvin, Muhammad

As a metropolitan area, the city of Palembang has no escape from the phenomenon of urban poverty. Seberang Ulu 1 Sub-district is included as an area that have high poverty rate in Palembang. Therefore the writer developed a ranking system with Fuzzy Logic Model Tahani that can help KOTAKU program to decide which neighborhood are the most impoverished in Seberang Ulu 1 Sub-district Palembang. Th…

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xvii, 125 hlm.; ilus.; 29 cm
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-
Call Number
T885202023
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PENGENALAN ANGKA PADA CITRA TASBIH DIGITAL MENGGUNAKAN METODE PRINCIPAL COMPO…
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Astuti, Prita Puja

The process of recognizing numbers in digital prayer beads requires an appropriate method for recognizing numbers. The challenge that arises in the prayer beads image is to have a small image display, and the numbers on the digital prayer beads image only display vertical and horizontal lines. This challenge can be a complex problem because the image has a variety of backgrounds and lighting. T…

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ISBN/ISSN
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xviii, 145 hlm.; ilus.; 29 cm
Series Title
-
Call Number
T873882023
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PERBANDINGAN ALGORITMA K-NEAREST NEIGHBOR (kNN) DAN MODIFIED K-NEAREST NEIGHB…
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Erian, Muhammad Khalifah

Algoritma k-Nearest Neighbor (kNN) merupakan algoritma yang paling sederhana diantara algoritma machine learning namun algoritma kNN memiliki kelemahan seperti nilai k yang bias mudah terkecoh dengan label yang tidak penting yang membuat akurasi kNN tidak maksimal. Algoritma Modified k-Nearest Neighbor (MkNN) dapat mengatasi kelemahan kNN dengan menambahkan validasi dan pembobotan pada sampel l…

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ISBN/ISSN
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xv, 93 hlm.; ilus.; 29 cm
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-
Call Number
T879512023
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KLASIFIKASI CITRA TANAMAN BERACUN MENGGUNAKAN METODE CONVOLUTIONAL NEURAL NET…
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Nazuli, Muhammad Furqan

Tanaman beracun dapat membahayakan, namun sebagian dapat dimanfaatkan sebagai obat-obatan atau sebagai pembunuh hama. Bagi sebagian masyarakat terutama yang berada di lingkungan dengan variasi tanaman yang beragam dapat memanfaatkan tanaman beracun ini. Kurangnya pengetahuan dan informasi menyebabkan pemanfaatan tanaman beracun ini tidak tepat guna. Perangkat lunak yang dapat melakukan klasifik…

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xvi, 64 hlm.; ilus.; 29 cm
Series Title
-
Call Number
T888892023
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SISTEM PENDUKUNG KEPUTUSAN PEMILIHAN TEMPAT WIRAUSAHA DENGAN METODE WEIGHTED …
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Vagito, Yodies

The world of entrepreneurship is growing, creating interest for people who have the desire to start and develop a business. One application of a decision support system can be used to decide on a problem. For this reason, this study aims to create a decision support system for choosing an entrepreneurial place with a website-based weight aggregated sum product assessment (WASPAS) method which i…

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xvii, 56 hlm.; ilus.; 29 cm
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-
Call Number
T875582023
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PENGAMANAN PESAN DENGAN METODE STEGANOGRAFI BERBASIS CONVOLUTIONAL NEURAL NET…
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Hasmi, Arya Difo

Image steganography is implemented in order to maintain the confidentiality and security of information so that it is not easily accessed by unauthorized parties and prevent from cyber security incidents. This research aims to build a system that can embed secret image in RGB format into a carrier image in RGB format. This system uses the Convolutional Neural Network (CNN) method by comparing t…

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xvi, 71 hlm.; ilus.; 29 cm
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-
Call Number
T871642023
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PENERAPAN TEKNIK RANDOM OVERSAMPLING UNTUK MENGATASI IMBALANCED CLASS DATA PA…
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Saputra, Rachman Dimas 

Physical fitness is the body's ability to carry out physical activities without causing excessive fatigue, knowing a level of body fitness is useful for determining the right solution to overcome problems related to body fitness. A classification process with machine learning is needed to determine the level of body fitness, one method that is often used is the K-NN method. Classification using…

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xviii, 110 hlm.; ilus.; 29 cm
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-
Call Number
T874482023
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DOCUMENT RETRIEVAL MENGGUNAKAN VECTOR SPACE MODEL UNTUK INDONESIAN QUESTION A…
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Ramadhia, Defita Auli 

Document retrieval merupakan sebuah sistem pencarian dokumen yang bertujuan untuk mengembalikan dokumen yang relevan dengan kueri pengguna. Komponen document retrieval memiliki fungsi yang sama dengan mesin pencari, yaitu mengumpulkan informasi yang diinginkan. Document retrieval merupakan bagian dari Question Answering System yang menggunakan algoritma tf-idf dan perhitungan cosine similarity.…

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xix, 84 hlm.; ilus.; 29 cm
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-
Call Number
T868522023
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ADDITIVE ANGULAR MARGIN LOSS UNTUK PENGENALAN CITRA WAJAH BERMASKER
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Reyaldi, Ferza

Pemakaian masker wajah yang diberlakukan saat Pandemi Covid-19 menyebabkan oklusi parsial pada fitur-fitur wajah. Hal ini berakibat identitas seseorang sulit dikenali oleh sistem pengenalan. Penelitian ini akan melakukan pengenalan wajah bermasker menggunakan Convolutional Neural Network (CNN) dan additive angular margin loss. Additive angular margin loss digunakan untuk mendapatkan fitur yang …

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xxiii, 62 hlm.; ilus.; 29 cm
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-
Call Number
T879592023
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 KLASIFIKASI ANOMALI PROSES LANDING PESAWAT TERBANG PADA BANDARA SULTAN SYAR…
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Aditya, Aditya

Air transportation still has the possibility of having an accident. According to Boeing, fatal accidents on flights occur mostly in the final approach phase, which is 28%, and the landing phase, which is 26%. In Indonesia, Sultan Syarif Kasim II Airport is in 6th place out of the 10 most dangerous airports, according to research written by Sandhyvavitri in 2014. According to the NTSC, from 2010…

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ISBN/ISSN
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Collation
viii, 64 hlm.; ilus.; 29 cm
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-
Call Number
T1223192023
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