KLASIFIKASI CITRA KUE TRADISIONAL MENGGUNAKAN METODE CONVOLUTIONAL NEURAL NET…

Traditional cake image classification aims to recognize various types of cakes based on visual features, thereby assisting in the effort to introduce traditional cakes. Indonesian traditional cakes…

KLASIFIKASI EMOSI PADA TEKS BERBAHASA INDONESIA DENGAN FINE-TUNING INDOBERT

The increasing use of social media has led to significant growth in Indonesian text data, creating complexity in emotion identification and classification tasks. To address this challenge, this stu…

PENGELOMPOKKAN ARTIKEL ILMIAH MENGGUNAKAN MULTIBERT DAN K-MEANS

The publication rate of scientific articles has significantly increased over time. This presents a challenge for journal administrators and academics in organizing and sorting these articles to ali…

KEMIRIPAN SEMANTIK DOKUMEN TUGAS AKHIR TERHADAP ONTOLOGI BIDANG ILMU INFORMAT…

The increasing number of multidisciplinary undergraduate theses in Informatics field presents challenges in categorizing these documents accurately. This study develops a system to measure the sema…

KLASIFIKASI VARIETAS BERAS MENGGUNAKAN CONVOLUTIONAL NEURAL NETWORK DENGAN AR…

Rice consists of various varieties withdistinctmorphological characteristics, yet manual classification remains subjective and reliant on expert judgment. This study develops an automated rice vari…

 PERBANDINGAN PERFORMA METODE NAIVE BAYES DAN SUPPORT VECTOR MACHINE DALAM K…

Music genre classification has become a research topic that is gaining increasing attention, especially with the emergence of digital music platforms. One of the relevant features extracted from au…

MPLEMENTASI OPENAI API UNTUK PEMBANGKITAN SOAL KUIS PADA QUIZ GAME SEJARAH

Quiz games serve not only as entertainment but also as educational media. However, manually creating varied questions, especially for production-level digital quiz games, requires significant resou…

KLASIFIKASI TUBERKULOSIS PADA CITRA CHEST X-RAY MENGGUNAKAN CONVOLUTIONAL NEU…

Tuberculosis is still one of the infectious diseases that causes high mortality rates worldwide. Early detection using Chest X-Ray images is very important in the effort to treat this disease. Howe…

KLASIFIKASI KATARAK PADA CITRA MATA MENGGUNAKAN ARSITEKTUR VGGNET

Cataract is the leading cause of blindness, including in Indonesia, with 1.6 million reported cases. Early detection is crucial, yet access to eye healthcare remains limited, especially in remote a…

ANALISIS SENTIMEN ULASAN PENGGUNA APLIKASI IPUSNAS DI GOOGLE PLAYSTORE DENGAN…

Digital libraries, such as iPusnas, have become essential solutions for improving access to reading materials in the digital era. User reviews of the iPusnas application on the Google Play Store co…

TOPIC MODELLING DAN TOPIC GENERATION PADA REVIEW GAME STEAM DENGAN FINE-TUNIN…

This study aims to develop and evaluate a Topic Modelling and Topic Generation system using user review data from the Steam platform. The research utilizes the BERTopic model to cluster reviews int…

FINE-TUNING MODEL BERT UNTUK NAMED ENTITY RECOGNITION

A sentence can contain various named entities with important meanings, such as names of people, locations, organizations, and time expressions. However, extracting this information manually require…

ANALISIS SENTIMEN TIKTOK SHOP PADA TWITTER MENGGUNAKAN METODE SUPPORT VECTOR …

TikTok Shop, as a social commerce feature in the TikTok application, has become a popular shopping platform in Indonesia. However, government regulations prohibiting direct transactions on social m…

KLASIFIKASI JUDUL BERITA PALSU MENGGUNAKAN METODE BIDIRECTIONAL ENCODER REPRE…

This research aims to classify fake news headlines in Indonesian as an initial step in detecting and reducing the spread of misinformation. Headlines are often the first element read and have stron…

ANALISIS SENTIMEN ULASAN APLIKASI SPOTIFY DI GOOGLE PLAY STORE MENGGUNAKAN MO…

Spotify, with 574 million active users and 226 million premium subscribers across 184 countries as of Q3 2023, represents a significant force in music streaming. While Google Play Store ratings pro…

PENERAPAN METODE LONG-SHORT TERM MEMORY (LSTM) DALAM ANALISIS SENTIMEN BERBAS…

This study discusses the application of the Long Short-Term Memory (LSTM) method in aspect-based sentiment analysis of reviews on the Gojek application in the Google Play Store. By utilizing Word2V…

KLASIFIKASI TUMOR OTAK PADA CITRA MAGNETIC RESONANCE IMAGING MENGGUNAKAN CONV…

Tumor otak merupakan penyakit serius yang memerlukan deteksi dini agar dapat ditangani dengan tepat dan efektif. Magnetic Resonance Imaging (MRI) sering digunakan dalam diagnosis tumor otak, namun …

SISTEM TANYA JAWAB DETEKSI KANKER DINI MENGGUNAKAN METODE BERT DAN TF-IDF

The increasing mortality rate due to cancer, particularly in developing countries like Indonesia, highlights the urgency of developing an effective question-answering detection system. According to…

PREDIKSI TINGKAT KRIMINALITAS MENGGUNAKAN LONG SHORT TERM MEMORY (LSTM)

Prediction or also called forecasting is the process of estimating events that will occur in the future. In this research, software is developed that can predict crime rates using the Long Short-te…

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 …

ANALISIS META KARAKTER DAN PERAN PADA GAME ONLINE FIRST PERSON SHOOTER VALORA…

Valorant is a form of online entertainment in the FPS (First-Person Shooter) genre, released by Riot Games in 2020, and it remains popular among gamers today. The online game Valorant offers a wide…

ANALISIS META SENJATA PADA PERMAINAN FIRST PERSON SHOOTER VALORANT MENGGUNAKA…

This research aims to analyze weapon meta in the First Person Shooter (FPS) game Valorant using the K-Median algorithm. This algorithm is applied to cluster weapons based on performance parameters …

OPTIMASI VEHICLE ROUTING PROBLEM WITH TIME WINDOWS (VRPTW) MENGGUNAKAN METODE…

The distribution of goods in the logistics sector faces challenges in optimizing distance, time, and delivery route efficiency. The Vehicle Routing Problem (VRP), including its variant VRPTW, which…

KLASIFIKASI PENYAKIT BERBASIS BAGGING MENGGUNAKAN NAÏVE BAYES, DECISION TREE…

In classification, finding the optimal model to handle a specific problem is crucial. Various algorithms, such as Naïve Bayes, Decision Tree, and Support Vector Machines (SVM), each have their own…

DELINEASI SINGLE-LEAD SINYAL ELEKTROKARDIOGRAM MENGGUNAKAN DEEP LEARNING DENG…

Electrocardiogram (ECG) is a medical procedure used to assess cardiac function, including its electrical activity. With the increasing prevalence of heart disease, which recorded an 18.71% rise in …

DETEKSI ELEVASI DAN DEPRESI SEGMEN ST SINYAL ELEKTROKARDIOGRAM BERBASIS MEDIC…

An accurate early detection of ST-segment elevation and depression in electrocardiogram (ECG) signals is a crucial step in diagnosing cardiovascular disease, such as myocardial infarction and myoca…

PERBANDINGAN METODE INFERENSI FUZZY MAMDANI DAN TSUKAMOTO DALAM MELAKUKAN PRE…

Kidney stones are one of the most common health problems and have the potential to cause chronic kidney failure if not properly addressed. To support early prevention efforts, this study aims to co…

PENERAPAN DATA MINING DALAM MENGELOMPOKKAN BENCANA ALAM MENGGUNAKAN ALGORITMA…

Natural disasters are a major problem faced by many regions, including Central Java Province, where natural disasters often result in losses both in terms of casualties and material. This research …

PENGANTAR TEKNOLOGI INFORMATIKA dan KOMUNIKASI DATA

Edition

-

ISBN/ISSN

978-623-209-852-7

Collation

vi, 121 hlm.; 23 cm

Series Title

-

Call Number

004.071 Bag p

PERBANDINGAN HASIL PREDIKSI TINGKAT RESIKO PENYAKIT JANTUNG KORONER MENGGUNAK…

This study examines and compares the results of the Fuzzy Inference System using the Tsukamoto method and the Mamdani method in predicting the risk level of coronary heart disease. A total of 47 da…