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…

PENGARUH POS TAGGING DENGAN METODE HMM PADA NER MENGGUNAKAN RULE BASED UNTUK …

Nowadays the presentation of information can be easily found in various online media, one of them is article. The Article contains various information which is arranged in a very long writing and i…

JURNAL ILMIAH TEKNIK INFORMATIKA: FORMAT Volume 7 Nomor 2 Tahun 2018

Edisi kali ini menampilkan 10 artikel: 1. Desain Produk Kacamata Pintar Menggunakan Interaksi Manusia dan Komputer, Raihan Mahatma Satria, Agung Arya Adi Nugraha, dan Sidik Desti Fitrian 2. Apl…

SISTEM PENDETEKSIAN PENYAKIT PNEUMONIA PADA CITRA RONTGEN DADA MENGGUNAKAN ME…

Pneumonia is one of the lung diseases that is often identified through chest X-ray images, but manual diagnosis requires high time and skill. Therefore, this study aims to improve the efficiency an…

GERAKAN NPC OTOMATIS PADA GAME 2D TOP-DOWN SHOOTER MENGGUNAKAN ALGORITMA THETA

Non-Player Characters (NPCs) are a core component across various genres of video game, such as in top-down shooters. Realistic NPC behavior can enhance player's enjoyment when playing games. One im…

RANCANG ULANG ANTARMUKA HUMAN CAPITAL MANAGEMENT SYSTEM DENGAN METODE DESIGN …

Human Capital Management System (HCMS) is a digital solution that helps Human Resources (HR) departments automate and improve the efficiency of various processes related to employee management. At …

CLUSTERING ARTIKEL ILMIAH BERBAHASA INDONESIA MENGGUNAKAN ALGORITMA PARTITION…

A scientific article is a type of written work by a researcher after successfully conducting research in a particular field, which is arranged systematically based on writing rules. Each scientific…

PERBANDINGAN PERFORMA EVENT-DRIVEN MICROSERVICE DENGAN POLA EVENT NOTIFICATIO…

A software system can be said to be functional if it can handle user requests quickly and correctly. As the number of users on the system increases, there is a certain limit to which the system can…

KLASIFIKASI JUDUL BERITA HOAX MENGGUNAKAN METODE SUPPORT VECTOR MACHINE (SVM)…

In recent years, the spread of fake news or hoaxes has become a serious problem that can influence public opinion. Therefore, this research aims to determine the performance of the Support Vector M…

SISTEM PENDUKUNG KEPUTUSAN PENILAIAN KINERJA GURU SMK YPIP PENDOPO MENGGUNAKA…

In this study, the Profile Matching method was used to assess teacher performance. The existing data is historical data on teacher performance assessment in the form of documents. The stage carried…

KEYPHRASE EXTRACTION MENGGUNAKAN PRETRAINED LANGUAGE MODEL ROBERTA DAN POSITI…

Searching for the desired scientific journal from the many published journals is currently a challenge for researchers because it takes a lot of time. Therefore, the use of keyphrases or keywords t…

PEMODELAN TOPIK MENGGUNAKAN PRE-TRAINED LANGUAGE MODEL ROBERTA DAN VARIATIONA…

The rapid and widespread flow of information highlights the importance of efficient text data management, making it even more important to organize and classify information from text data as more n…

KLASIFIKASI CYBERBULLYING DI TWITTER MENGGUNAKAN METODE SVM (SUPPORT VECTOR M…

Twitter, with 237.8 million daily active users, the majority aged 18-29 years, shows great potential as a communication medium. However, it also brings the problem of uncontrolled online behavior d…

DETEKSI SERANGAN SQL INJECTION MENGGUNAKAN DEEP NEURAL NETWORKS

SQL Injection has been classified by OWASP (Open Web Application Security Project) as one of the most damaging attacks in the past 15 years. This research aims to develop an IDS (Intrusion Detectio…

MENGUKUR KINERJA CLUSTERING MENGGUNAKAN ALGORITMA K-MEANS DAN K-MEDOIDS DENGA…

Clustering is one of the most widely used techniques in data processing that can be used to find patterns and characteristics in data. K-Means and K-Medoids are the most widely used clustering algo…

PREDIKSI PERTUMBUHAN BERAT IKAN LELE DALAM BUDIDAYA AKUAKULTUR DENGAN MENGGUN…

The weight growth of fish is a fundamental aspect of aquaculture, serving as a pivotal indicator of feeding efficacy and pond environmental management. This study aims to develop a predictive model…