IMPLEMENTASI ADD-ON BLENDER UNTUK OTOMATISASI PEWARNAAN ACAK PADA OBJEK

3D object coloring is an important stage in digital design and animation, but this process often takes a long time and tends to be monotonous. This research aims to develop a Blender add-on called AutoColorize, designed using Python to automate the coloring process. The add-on is equipped with features to generate color palettes and apply colors to selected objects. The test results show that u…

OPTIMASI FUZZY INFERENCE SYSTEMMODELMAMDANI DENGAN MENGGUNAKAN ALGORITMAPARTI…

Air is one of most importants thing in the world for all people, animals and plants. That’s why to check and maintain the air quality is one option to maintenance the world’s life. There are many way to check and maintain or even to predict the air polutions, and in this case i will use Fuzzy Inference System Mamdani. Not only with Fuzzy Inference System Mamdani, I will also optimize that w…

EKSTRAKSI KATA KUNCI PADA ARTIKEL BERBAHASA INDONESIA MENGGUNAKAN METODE RAKE.

The increasing number of scientific articles presents a challenge for researchers in quickly accessing relevant information. One of the main challenges is determining efficient keywords. To address this, an automatic keyword extraction system becomes an essential solution, aimed at developing and evaluating methods for keyword extraction to accelerate the search and management of information fr…

KLASIFIKASI TINGKAT KEMATANGAN BUAH PEPAYA MENGGUNAKAN CONVOLUTIONAL NEURAL N…

Image classification is a major challenge in the digital world, especially in the field of deep learning. so this research develops a classification system using Convolutional Neural Network (CNN) with five architectures namely GoogLeNet (InceptionV3), MobileNet, ResNet50, SqueezeNet, and Visual Geometry Group (VGG16) to classify papaya fruit. With the number of data for ripe papaya 267, unripe…

FINE-TUNING INDOBERT UNTUK KLASIFIKASI KATEGORI BERITA BERBAHASA INDONESIA.

The availability of Indonesian news articles on the internet has greatly increased, making it more challenging to recognize and categorize news accurately. Therefore, a solution to this issue is to develop a classification system for Indonesian news article categories. This research aims to classify Indonesian news category using fine-tuning on the pre-trained IndoBERT model. The dataset consis…

ANALISIS SENTIMEN MASYARAKAT TERKAIT PEMBANGUNAN IBU KOTA NUSANTARA (IKN) MEN…

The development of Ibu Kota Nusantara (IKN) has become a topic of public interest, generating various opinions reflecting societal sentiment. This study aims to analyze public sentiment toward the development of IKN using a fine-tuned IndoBERT-based deep learning model. The dataset was collected from platform X, consisting of 18,264 training data, 2,283 validation data, and 2,283 test data, wit…

AUDITING EDP SYSTEMS, SECOND EDITION

Edition

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ISBN/ISSN

0-13-052986-9

Collation

xiv, 576 hlm. ;ilus.;22cm

Series Title

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Call Number

657.453 Wat a

SISTEM INFORMASI AKUNTANSI, EDISI 9

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 PENINGKATAN AKURASI IMPUTASI DATA YANG HILANG PADA DATA DERET WAKTU MULTIVA…

Missing data is a common and complex issue in the industrial world, making data processing more challenging. Imputation methods, whether conventional or using neural networks, are employed to address this issue by estimating or computing the missing values. Deep learning is chosen for its ability to unearth hidden information within data, significantly enhancing the data imputation process. Thi…

ANALISIS PERBANDINGAN KLASIFIKASI INTENT CHATBOT MENGGUNAKAN DEEP LEARNING BE…

A chatbot is a software application to designed handle user inputs and generate appropriate replies based on those inputs, which are then communicated back to the user. In able to provide accurate responses, the chatbot must be able to understand the intent of the user accurately. An issue in the development of chatbots is how to accurate classify user intent. Incorrectly understanding user int…

CHATBOT MENGGUNAKAN ALGORITMA PATTERN BASED UNTUK PELAYANAN PELANGGAN DI TRAV…

Chatterbot, commonly known as chatbot, has emerged as an undeniable contemporary trend. With the utilization of artificial intelligence, technology now aids humans in problem-solving, particularly in the realm of hajj and umrah. This research aims to enhance the services of hajj and umrah travel through the development of a chatbot based on Frequently Asked Questions (FAQ) on a website. The met…

KLASIFIKASI EMOSI PADA KALIMAT DI TWITTER MENGGUNAKAN ALGORITMA LONG SHORT-TE…

Emotions have an important role in human life, especially in social interactions on social media platforms such as Twitter. The classification of emotions in an important sentence plays a role in analyzing public opinion and can help in decision making. The Long Short-Term Memory (LSTM) algorithm is a refinement of the Recurrent Neural Network (RNN) algorithm which is able to manage sequential …

KLASIFIKASI STATUS GIZI BALITA DENGAN MENGGUNAKAN METODE K-NEAREST NEIGHBOR

Pentingnya aspek gizi sebagai pondasi dalam upaya pembangunan bangsa menunjukkan perlunya upaya serius dalam menangani permasalahan kekurangan gizi di Indonesia. Hingga saat ini, penanganan masalah gizi di negara ini lebih difokuskan pada anak-anak yang berusia di bawah lima tahun melalui pemantauan data antropometri anak setiap bulan oleh karena itu untuk mempermudah pemantauan maka di bangun …

KLASIFIKASI PELAGGAN RESERVASI HOTE MENGGUNAKAN METODE RANDOM FOREST

Online hotel reservations have dramatically changed booking possibilities and customer behavior. Reasons for cancellation include changes in plans, scheduling conflicts, and personal affairs. This resulted in losses that had to be faced by the hotel side. To find out the pattern of cancellation of reservations by customers can be done with a classification approach. Classification of customer r…

KLASTERISASI DATA KECELAKAAN LALU LINTAS JALAN RAYA DI PROVINSI JAMBI MENGGUN…

Traffic accidents are one of the main problems faced by many regions, including Jambi Province, where accidents often result in losses both in terms of casualties and material. This research focuses on applying the K Means clustering method to analyze traffic accident data in Jambi Province. The analyzed data are from 2018 to 2022, obtained from the Traffic Directorate of Jambi Province and Mua…

FORECASTING JUMLAH PENDUDUK INDONESIA MENGGUNAKAN DEEP LEARNING

The rate of population growth has three main factors, these are natality, mortality, and migration. These three factors can be used to estimate the population in the future. Based on this population prediction, it can be used for various policies in development planning in a region. In this research, the autoencoder method will be use for predict population. With this method, the input dimensio…

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 …

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…

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 …

PENGUKURAN LAJU KECEPATAN KENDARAAN DI JALAN TOL MENGGUNAKAN METODE HAAR CASC…

Penelitian ini bertujuan untuk mengembangkan sistem pengukuran laju kecepatan kendaraan di jalan tol menggunakan metode Haar Cascade Classifier berbasis citra bergerak. Metode ini memungkinkan pengukuran kecepatan kendaraan di jalan tol dengan komputasi yang cepat dibandingkan metode-metode sebelumnya. Sistem ini bekerja dengan mengidentifikasi kendaraan pada citra bergerak dan melacak pergerak…

PENGENALAN SUARA KE TEKS MENGGUNAKAN GAUSSIAN MIXTURE MODEL.

English content is very easy to find in the surrounding environment such as in social media, but Indonesians find it difficult to understand. Since English word often sounds similar to other words and also the pronunciation differences of each person, a speech-to-text recognition system can help recognize English words into text. Gaussian Mixture Model is chosen to recognize speech to text beca…

PENGENALAN SUARA KE TEKS MENGGUNAKAN HIDDEN MARKOV MODEL

Learning new words can be difficult, it helps if it’s possible to look up the new word in a dictionary, however, a word in English often sounds alike to another word, therefore a speech to text system can help searching a word in dictionary. The use of Mel-Frequency Cepstral Coefficient in feature extraction and Hidden Markov Model in recognizing speech to text was chosen because MFCC and Hid…

PENDETEKSIAN PENDARAHAN PADA CITRA DIGITAL RADIOLOGI OTAK MANUSIA MENGGUNAKAN…

This research discusses four scenarios in developing a Faster Region-based Convolutional Neural Network (Faster R-CNN) model to detect bleeding in radiological images of the human brain. We specifically tested and compared key parameters, namely learning rate, batch size, backbone architecture, and data sharing, to determine the most effective configuration. The results show that the learning r…

DIAGNOSA INFEKSI SALURAN PERNAPASAN AKUT MENGGUNAKAN ALGORITMA NAIVE BAYES CL…

ARI is a disease that attacks the respiratory tract which can be caused by a viral infection or can also be caused by other diseases or other conditions, under certain conditions ARI can cause complications if not immediately examined and treated. Diagnosing ARI is not easy for the general public. In this case an expert system can help deal with the problem by building a system that people can …

SISTEM REKOMENDASI PAKET CHANNEL TV MENGGUNAKAN ITEM-BASED CLUSTERING HYBRID …

IPTV minipacks are small packages of various additional channels owned by IndiHome. This package can be selected and purchased according to customer needs. currently used traditional methods of analyzing data, can not handle a large amount of data. One method that can be used is the Item-based clustering hybrid method (ICHM). ICHM builds a group of rating matrices based on the attributes of the…

ANALISIS SENTIMEN TWEET PIALA DUNIA U-20 MENGGUNAKAN METODE LONG SHORT TERM M…

Sentiment analysis is the process of analyzing opinions, sentiments, and so on. The purpose of sentiment analysis is to collect polarity in sentences. What is analyzed are reviews/opinions that are often found on social media, blogs, and many more. One of the most frequently used social media is Twitter. Twitter has many features such as being able to create tweets. Tweets made by users are usu…

KLASIFIKASI RAS MONGOLOID MENGGUNAKAN CONVOLUTIONAL NEURAL NETWORK

Mongoloid is a type of human race that exists in the world. Each mongoloid race has different characteristics and physical traits including eyes, nose, and skin color. This research aims to build a system that can classify mongoloid races from input images. This system uses the Convolutional Neural Network method which then the error results from the classification using the Confusion Matrix ca…

ANALISIS SENTIMEN REVIEW MOVIE PADA IMDB MENGGUNAKAN METODE SELEKSI FITUR INF…

IMDb is a website that provides information about all movies, including user-generated movie reviews. Reviews are identified through textual data in the form of comment text. However, the large number of features in reviews makes the textual data ambiguous, creating difficulties for sentiment analysis. To address this challenge, this research employs the Information Gain feature selection metho…

VISUALISASI DATA CAMP SHOLAWAT ANNUR MENGGUNAKAN FRAMEWORK CODE IGNITER (CI) …

Visualisasi Data Camp Sholawat Annur menggunakan framework Code Igniter (CI) berbasis Model View Controller (MVC) digunakan untuk memudahkan para jamaah Camp Sholawat Annur untuk mengevaluasi diri. Penelitian ini mengembangkan sistem informasi yang berbentuk Visualisasi Data dan Highchart. Dalam Proses Visualisasi Data Camp Sholawat Annur ini menggunakan framework Code Igniter yaitu Code ignite…

PENCARIAN JAWABAN NAMA ORANG PADA SISTEM TANYA JAWAB BERBAHASA INDONESIA MENG…

Question Answering System (QAS) is a research area in natural language processing that aims to help users receive information through a comfortable interface in natural language. Question Answering System requires a database as a source for obtaining information. Currently, free-to-use web-based structured information such as DBpedia is available. The lack of research on an Indonesian Question …