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PENDETEKSIAN WAJAH BERKELOMPOK MENGGUNAKAN DEEP LEARNING
Face detection is one of the main challenges in the field of computer vision and artificial intelligence. The development of this particular technology has been highlighted due to its wide range of applications such as security surveillance systems, crowd analysis systems, and can be collaborated with face recognition systems for face identification purposes. The challenge emerges when attempti…
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- xvi, 83 hlm.; ilus.; 29 cm
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- T1280312023
KLASIFIKASI INTENT MENGGUNAKAN SOFTMAX DAN KLASIFIKASI ENTITAS MENGGUNAKAN CO…
This research aims to develop a Chatbot Intent Classification and Entity Classification on the RASA Framework using the Softmax and Conditional Random Field methods. In the process of creating a chatbot, there are several problems that often arise, one of which is the low accuracy of entity classification and intent classification, which causes the chatbot to not perform as expected. These prob…
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- xiv, 80 hlm.; Ilus.; 29 cm
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- T1225962023
DIAGNOSA PENYAKIT IKAN CUPANG MENGGUNAKAN METODE FUZZY LOGIC SUGENO DAN FORWA…
Ikan cupang sangat digemari oleh masyarakat segala usia yang menjadikan ikan cupang sebagai usaha kecil menengah yang menganggap ikan cupang sebagai bisnis, namun pemeliharaan ikan cupang justru sebaliknya. Mudahnya beternak ikan cupang dan ketidaktahuan dalam merawat ikan cupang yang baik dapat menyebabkan kematian pada ikan cupang yang disebabkan oleh berbagai penyakit. Oleh karena itu dibuat…
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- xv, 88 hlm.; ilus.; 29 cm
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- T1267992023
IMPLEMENTASI ALGORITMA FISHER-YATES UNTUK PENGACAKAN JAWABAN PADA PERMAINAN "…
There are many ways to memorize the Quran, and one of them is by utilizing technology. Educational games are a technology that combines knowledge and fun. Games themselves are engaging because they can generate different possibilities, one of which is by introducing randomness into the game. Educational games can be used as a means to memorize the Quran, such as creating a game called "Sambung …
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- xv, 137 hlm.; ilus.; 29 cm
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- T1246352023
FORM MANAGER PADA E-COMMERCE CHATBOT BERBASIS FRAME-BASED
E-commerce users in Indonesia from 2017 to 2023 are increasing every year. The more users in e-commerce, the more requests will be submitted. This can cause the response from the seller to be slower. Users also sometimes provide unstructured information in conversations so that sellers have difficulty collecting and processing data efficiently. To overcome these problems, the implementation of …
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- xiii, 101 hlm.; ilus.; 29 cm
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- T1229882023
THE APPLICATION OF CLEAN ARCHITECTURE PRINCIPLES WITH MVVM (MODEL-VIEW-VIEWMO…
Clean Architecture principles, Model-View-ViewModel (MVVM) architecture, Reactive Programming, and Declarative UI (User Interface) are a set of principles and practices aimed at producing highly maintainable, scalable, and testable applications. In this thesis, the writer demonstrates how the application of those principles and practices when implemented can produce maintainable, scalable, and …
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- xv, 96 hlm.; ilus.; 29 cm
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- T1171712023
DETEKSI DAN KLASIFIKASI MALWARE PADA CITRA GRAYSCALE DENGAN MENGGUNAKAN DEEP …
This research focuses on the utilization of Deep Learning techniques for malware detection and classification. By representing malware samples as grayscale images, a Deep Learning model based on Convolutional Neural Networks (CNN) is developed. The model is trained using a dataset containing grayscale malware samples. Experimental results demonstrate a high level of accuracy of the Deep Learnin…
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- xiv, 70 hlm.; ilus.; 29 cm
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- T1261862023
PREDIKSI PENGGUNAAN LISTRIK PADA SEBUAH RUMAH MENGGUNAKAN LONG SHORT-TERM MEMORY
Prediction, also known as forecasting, is the process of estimating events that will occur in the future. In this research, software is developed that can predict electricity usage in a house using the Long Short-term Memory method, which is a Recurrent Neural System designed to overcome vanishing gradient problem. In this research, the model training is done with 2 configurations: split train-…
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- T1271292023
SISTEM PENDETEKSI ALERGEN PADA PRODUK KEMASAN UNTUK PENDERITA ECZEMA MENGGUNA…
Eczema, also known as dermatitis, is a chronic skin condition characterized by recurring episodes of dry and itchy skin. While it cannot be cured, it can be managed through medication and by addressing triggering factors such as stress and certain foods. To minimize eczema flare-ups through dietary intervention, researchers have conducted studies to detect allergenic food compositions using OCR…
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- xiv, 62 hlm.; ilus.; 29cm
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- T1214352023
MPLEMENTASI MARKOV MODEL PADA PERUBAHAN STATE NPC DALAM GAME RPG "THE DUNGEON"
Nowadays, technology is undergoing a tremendous development. One of the developments is the forming of one of the form of technology development called games. In games theres a component called NPC that can move itself that happens in several step or states. In general NPC state changes commonly use FSM (Finite State Machine) method. Theres another method like markov method that usually used to…
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- xx, 99 hlm.; Ilus.; 29 cm
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- T1034542023
ANALISIS SENTIMEN PADA OPINI PUBLIK TENTANG ANGKUTAN ONLINE MENGGUNAKAN METOD…
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
ANALISIS SENTIMEN OPINI PUBLIK MENGENAI VAKSINASI COVID-19 MENGGUNAKAN METODE…
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
PENGENALAN KATA DALAM BAHASA ISYARAT INDONESIA (BISINDO) SECARA REAL-TIME MEN…
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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- T1201172023
PENENTUAN PRODUK WHEY PROTEIN TERBAIK MENGGUNAKAN METODE SIMPLE MULTI ATTRIBU…
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
PENGAMANAN BASIS DATA POSTGRESQL DENGAN FITUR PENCARIAN KEYWORD MENGGUNAKAN S…
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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- T963772023
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
KLASIFIKASI JENIS LAHAN MENGGUNAKAN CNN BERBASISKAN CITRA SATELIT
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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- T893312023
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
KLASIFIKASI KOMENTAR PERUNDUNGAN PADA INSTAGRAM MENGGUNAKAN METODE NAÏVE BAY…
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
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
SISTEM PENDUKUNG KEPUTUSAN PEMILIHAN HOTEL TERBAIK MENGGUNAKAN METODE ANALITI…
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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- T896542023
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
PREDIKSI HASIL PANEN KELAPA SAWIT MENGGUNAKAN FUZZY SUGENO KANG
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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- T913102023
FORECASTING SAHAM MENGGUNAKAN METODE CONVULATION NEURAL NETWORKS (CNN) – LO…
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
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- T826952023
SISTEM PENDUKUNG KEPUTUSAN PEMILIHAN SISWA BERPRESTASI MENGGUNAKAN METODE AHP…
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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- xiv, 87 hlm.; ilus.; 29 cm
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- T870892023
PENERAPAN SELF-ATTENTIVE NETWORK PADA PENDETEKSIAN CLICKBAIT DI JUDUL BERITA …
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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- T868902023
KLASIFIKASI PENDERITA PENYAKIT DEMAM BERDARAH DENGUE (DBD) DENGAN METODE NAIV…
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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- T859052022
ANALISIS SENTIMEN MENGGUNAKAN ALGORITMA ARTIFICIAL NEURAL NETWORK
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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- xiv, 85 hlm.; ilus.; 29 cm
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- T885472023
OPTIMASI METODE SUPPORT VECTOR MACHINE MENGGUNAKAN ALGORITMA PARTICLE SWARM O…
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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- T880902023
PARALLEL PROCESSING FOR STEMMING AND POS-TAGGING IN INDONESIAN TEXT
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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- T866392023
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