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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 2020 compared to 2010, the role of ECG interpretation has become critically important. Cardiac conditions can be analyzed through the morphology of ECG signals, consisting of the P wave, QRS complex, …
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- xvi, VI-1 hlm., ilus., tab.; 29 cm
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- T1643832024
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 myocardial ischemia. In clinical practice, cardiac conditions diagnosis is typically performed by cardiologists, or trained medical professionals. However, this way of diagnosing manually has some apparent…
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- xv, 5-46 hlm., ilus., tab.; 29 cm
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- T1643812024
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 compare two fuzzy inference methods, namely Mamdani and Tsukamoto. The study will use 89 data points obtained from Kaggle under the title "Kidney Stones Dataset." In predicting the risk of kidney stones…
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- xv, V-6 hlm., ilus., tab.; 29 cm
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- T1644002025
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 focuses on the application of the K-Medoids algorithm to analyze data on natural disaster events in Central Java Province. The data analyzed in the time span of 2019 to 2023, which was obtained from t…
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- xvii, 113 hlm.; ilus.; tab.; 29 cm.
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- T1636112024
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 data were used in this experiment with input variables including age, blood sugar, cholesterol, blood pressure, and maximum heart rate. The output variable is the risk level, which is determined based o…
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- xvii, 78 hlm.; ilus.; tab.; 29 cm.
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- T1218192023
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 it takes a long time to find the information. One of the fields that can process hidden information in news articles is information extraction. The main task of information extraction is named entity r…
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- xix, VI-2 hlm, 29 cm
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- T380952020
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. Aplikasi Sistem Complain Handling Berbasis Website Studi Kasus Apartemen Kedoya Elok, Nazzil, dan Inge Handriani 3. Aplikasi Undangan Pernikahan Elektronik Menggunakan Arsitektur REST Web Service pada P…
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- 2089-5615
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- 106 hlm,; ill.; 29 cm
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- 004 Jur j
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 and accuracy of pneumonia diagnosis through the application of deep learning technology. The CNN method was chosen due to its ability to automatically extract features from medical images. RetinaNet, as…
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- xiv, VI-2 hlm.; ilus.; tab.; 29 cm.
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- T1417742024
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 important aspect of NPC behavior is their movement, which can be implemented using a pathfinding algorithm. The most commonly used pathfinding algorithm in video games is the A* algorithm. However, A* h…
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- xiii, VI-1 hlm.; tab.; ilus.; 29 cm.
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- T1431362024
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 PT Mitra Solusi Telematika (MST), HCMS has been in use for the past three years. However, the interface used has looked outdated and does not meet the expectations of users, especially the younger gen…
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- xvii, VI-2 hlm.; ilus.; tab.; 28 cm
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- T1434092024
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 article contains important information from various scientific fields, one of which is computer science. In this research, an automatic clustering software for scientific articles in Indonesian was b…
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- xvi, VI-2 hlm.; ilus.; tab.; 28 cm
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- T1434712024
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 handle the processed requests. Microservice is an architecture designed to cope with high usage, because it is designed to divide the user request process into smaller focuses. Event-driven is one of…
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- xv, VI-2 hlm.; ilus.; tab.; 28 cm
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- T1434592024
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 Machine (SVM) and Synthetic Minority Oversampling Technique (SMOTE) algorithms for classifying. The Support Vector Machine (SVM) approach was chosen because of its ability to handle classification prob…
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- xv, VI-2 hlm.; ilus.; tab.; 29 cm
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- T1494422024
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 out is to compare the GAP difference value from each criterion and sub-criteria value. In this study, the Profile Matching method was used to assess teacher performance. The existing data is historic…
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- xvi, VI-1 hlm.; ilus.; tab.; 29 cm.
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- T1413702024
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 that represent the content of scientific journals is needed as a solution to save search time. The keyphrase extraction process is carried out to obtain relevant keyphrases. One of the keyphrase extrac…
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- xvii, VI-2 hlm.; ilus.; tab.; 29 cm.
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- T1421212024
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 news is published online all the time. Topic modeling is useful in clustering news texts from the ever-growing sea of online news based on the topic of each text data. One method of topic modeling is t…
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- xv, VI-2 hlm.; tab.; ilus.; 28 cm
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- T1434372024
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 due to bullying comments. This research classifies bullying comments on Indonesian language social media using Support Vector Machine (SVM) and Information Gain. The process includes feature selection …
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- xiv, VI-2 hlm.; ilus.; tab.; 28 cm
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- T1494402024
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 Detection System) capable of detecting SQL Injection attacks through HTTP POST Requests. The study employs a neural network-based computational model known as DNN (Deep Neural Networks), using tabular data th…
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- xv, VI-2 hlm.; tab.; Ilus.; 29 cm
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- T1492612024
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 algorithms because they are simple, easy to implement, and relatively fast. Although proven to have good performance with high accuracy and efficiency for large data, previous studies have shown differenc…
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- xvii, VI-2 hlm.; tab.; Ilus.; 29 cm
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- T1495302024
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 for the growth of catfish weight using the Random Forest Regression algorithm approach. The research method involves the utilization of a dataset comprising environmental parameters such as temperatu…
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- xv, VI-1 hlm.; ilus.; tab.; 28 cm.
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- T1479392024
EKSTRAKSI KATA KUNCI PADA BAHASA INDONESIA MENGGUNAKAN JOINTLY MODELING LOCAL…
Menemukan jurnal ilmiah yang tepat dari beragam jurnal yang tersedia saat ini merupakan tantangan yang signifikan bagi para peneliti, akademisi bahkan mahasiswa karena membutuhkan waktu yang cukup lama. Oleh karena itu, penggunaan keyphrase atau kata kunci yang mencerminkan isi jurnal dapat menjadi solusi yang efektif untuk mengatasi masalah ini. Proses ekstraksi keyphrase dilakukan untuk mengi…
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- xvi, VIII-48 hlm.; ilus.; tab.; 29 cm
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- T1446452024
PERBANDINGAN ALGORITMA LINEAR CONGRUENT METHOD (LCM) DAN FISHER-YATES SHUFFLE…
Board Game is a game that can be played by two or more people by moving pieces on the board, for example, the Mastermind game. By implementing Artificial Intelligence (AI) in the Mastermind game, users can play against the computer system implementing AI without having to wait for others. By applying the Fisher Yates Shuffle Algorithm and Linear Congruent Methods, the aim is to allow users to p…
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- xiv, VI-2 hlm.; ilus.; tab.; 29 cm.
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- T1461012024
PERBANDINGAN ALGORITMA PARTITIONING AROUND MEDOID (PAM) DAN DENSITY BASED SPA…
The high prevalence of stunting in various regions in Indonesia has become a major focus of the government. Although various programs have been implemented, their effectiveness is still insufficient in addressing this issue. Therefore, it is necessary to cluster regions in Indonesia based on stunting prevalence rates, so that areas with similar stunting rates can be identified and separated fro…
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- xvi, xviii hlm.; ilus.; tab.; 29 cm
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- T1499402024
PEMODELAN TOPIK MENGGUNAKAN PRE-TRAINED LANGUAGE MODEL INDOBERT DAN VARIATION…
The number of information and documents scattered on the internet today is very large and makes it difficult to search for information according to topics. This is a challenge in grouping and managing information such as online news headline data. Therefore, the solution to this problem is to use a Topic Modeling System that aims to group information and documents according to their topics. Thi…
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- xv, xx hlm.; ilus.; tab.; 29 cm
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- T1439782024
KOMPARASI KINERJA ALGORITMA RANDOM FOREST DAN SUPPORT VECTOR MACHINE DALAM AN…
Employee turnover, whether voluntary or involuntary, has a negative impact on company costs and productivity which influences employee decisions to stay or move, which can be analyzed using data mining techniques. This research aims to compare the performance of the Random Forest and Support Vector Machine (SVM) algorithms in analyzing potential employee turnover to provide in-depth insights to…
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- xviii, xxi hlm.; ilus.; tab.; 29 hlm
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- T1442722024
KLASIFIKASI JUDUL BERITA BAHASA INDONESIA MENGGUNAKAN METODE SELEKSI FITUR CH…
News is an important source of information in society, and classification of news headlines is a challenge for organizing this information. This research aims to develop software that is able to classify Indonesian news headlines into 3 categories using the Support Vector Machine method with Chi-Square Feature Selection. The SVM method is known as an effective classification algorithm, while ch…
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- xiii, xv hlm.; ilus.; tab.; 29 cm
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- T1442102024
KLASIFIKASI KOMENTAR BERACUN MENGGUNAKAN METODE LONG SHORT TERM MEMORY (LSTM)
The Kaggle platform, known as a hub for data and analytics competitions, provides a comprehensive dataset encompassing a range of comments, including toxic ones. Poisonous comments, often containing abusive, disrespectful, and demeaning language, impact the psychological well-being of individuals, particularly in the context of mental health. The presence of these comments on social media poses…
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- xvii, xviv hlm.; ilus.; tab.; 29 cm
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- T1447252024
PENGEMBANGAN BOT TELEGRAM UNTUK APLIKASI SETORAN SHOLAWAT BERBASIS API MENGGU…
Camp Sholawat merupakan sebuah komunitas yang bertujuan untuk memantau peserta dalam melakukan sholawat sehari-hari. Peserta camp sholawat sering melakukan setoran. Namun peserta terkendala ketika melihat setoran sholawat, dikarenakan pesan sebelumnya tertumpuk yang meyulitkan peserta untuk melihat kembali riwayat setoran. Chatbot dikembangkan sebagai wadah untuk memfasilitasi peserta dalam mel…
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- xvi, xvii hlm.; ilus.; tab.; 29 cm
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- T1424752024
ANALISIS SENTIMEN PERSEPSI PENGGUNA TWITTER MENGENAI PENERAPAN PENDETEKSI WAJ…
In this study, an analysis of Twitter users' opinions and perceptions regarding the implementation of facial recognition will be conducted, with a focus on performance and privacy security. The method to be applied is Long Short Term Memory (LSTM) and Word2Vec weighting. LSTM, also known as deep learning, is chosen because it can process and retain long-term information, making it suitable for …
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- xviii, xviii hlm.; ilus.; tab.; 29 cm
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- T1499292024
ANALISIS SENTIMEN CUSTOMER REVIEW DI E-COMMERCE TOKOPEDIA MENGGUNAKAN METODE …
Sentiment analysis is the process of automatically understanding, extracting, and processing textual data to uncover information about opinions contained within the data, determining whether they are negative or positive. This study aims to perform sentiment analysis and evaluate the performance of algorithms in classifying customer reviews on the Indonesian e-commerce platform, Tokopedia, usin…
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- xvi, xiv hlm.; ilus.; tab.; 29 cm
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- T1494442024
Computer Science, Information & General Works 
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