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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
PENCARIAN RUTE TERPENDEK LOKASI WISATA DI KOTA PALEMBANG MENGGUNAKAN ALGORITM…
Efficient route planning for tourism is crucial to enhance the tourist experience and optimize transportation management between tourist locations. This study compares the performance of the Ant Colony Optimization algorithm in finding the shortest route in Palembang City using various parameters, including the number of iterations, the number of ants, the alpha value, the beta value, and the p…
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- xvi, xx hlm.; ilus.; tab.; 29 cm
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- T1498082024
EKSTRAKSI KATA KUNCI ARTIKEL ILMIAH DI BIDANG INFORMATIKA MENGGUNAKAN METODE …
Currently, the abundance of scientific journals is continually growing. Keyword identification can represent the general topics discussed in a journal, but this process requires a deep understanding of the journal's content, which is time-consuming. To address the challenge of formulating keywords, the solution lies in developing an automatic keyword extraction system. One of the approaches use…
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- xvi, vi hlm.; ilus.; tab.; 29 cm
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- T1499282024
CLUSTERING KUNJUNGAN WISATAWAN MANCANEGARA DI INDONESIA DENGAN METODE DBSCAN
The tourism sector is one of the sectors that affects approximately 4% of the total economy in Indonesia. One of them is the activity of visits from foreign tourists to Indonesia which always fluctuates every year, especially during the Covid-19 pandemic which caused a drastic decline. This research discusses the Clustering of Foreign Tourist Visits in Indonesia with the DBSCAN Method. The data…
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- xv, xviii hlm.; ilus.; tab.; 29 cm
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- T1497992024
PENENTUAN POLA PEMINJAMAN BUKU PERPUSTAKAAN UNIVERSITAS SRIWIJAYA MENGGUNAKAN…
The problem of unorganized book borrowing in libraries can interfere with the effectiveness of services and collection management. This research analyzes book lending patterns in Sriwijaya University library using Apriori algorithm, which identifies associations and hidden patterns in lending data, with data from 2019 to 2023. The test results show that in 2021 266 rules were formed with the hi…
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- xix, xxv hlm.; tab.; ilus.; 29 cm
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- T1500352024
KLASIFIKASI TEKS DATA SHORT MESSAGE SERVICES (SMS) BERBAHASA INDONESIA MENGGU…
The development of information and communication technology, especially the internet, has created various messaging platforms such as WhatsApp, Line, Messenger, email, and Short Message Services (SMS). Nonetheless, the use of SMS has not been completely replaced by digital messaging apps in Indonesia. Therefore, SMS is still an important part of digital communication in Indonesia. In this conte…
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- xiv, VI-2 hlm.; ilus.; tab.; 28 cm
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- T1478742024
OPTIMASI ALGORITMA DECISION TREE MENGGUNAKAN METODE ARTIFICIAL BEE COLONY UNT…
Diabetes is a long-term or chronic disease. Diabetes can attack anyone and under any conditions and will continue for a lifetime. In reality, most diabetes is predicted too late, causing complications with other diseases which will ultimately lead to death. This system is expected to be able to alert the risk of complications in diabetes patients in the future. Extract knowledge from diabetes d…
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- xvii, VI-2 hlm.; ilus.; tab.; 28 cm
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- T1494492024
PENERAPAN METODE PCA(PRINCIPAL COMPONENT ANALYSIS) DAN EUCLIDEAN DISTANCE UNT…
The face is a unique part that every human individual has. For that face can be a reference to recognize someone. Maybe to recognize a person's face in small amounts can be said to be easy. However, it is difficult to recognize faces in large numbers and remember their names for a long time, given the limitations of each individual human being. The purpose of this study is to develop a group fa…
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- xviii, L-1.1 hlm.; ilus.; tab.; 29 cm.
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- T353192020
PENGENALAN WAJAH DARI BERBAGAI SUDUT MENGGUNAKAN METODE SELF ORGANIZING MAP
Human face recognition has become a challenge for researchers to facilitate the human-machine interface. In this study, the Self Organizing Map method was used to recognize 45 human faces who have different poses. Before the recognition process, the preprocessing stage is carried out on the input image, it is face detection process by using the Viola Jones method and the greyscaling image proce…
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- xiv, vi-2 hlm.; ilus.; tab.; 29 cm
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- T392732020
KLASIFIKASI KESEGARAN WORTEL MENGGUNAKAN INCEPTIONV3
Carrot, scientifically known as Daucus carota L., is a root vegetable that is widely consumed around the world. Visual determination of carrot freshness visual determination by humans can be subjective and not always efficient due to the differences in viewpoints. The InceptionV3 model, which is one of the architectural models of CNN gets good results in classifying image cases. in classifying …
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- xiv, VI-2 hlm.; ilus.; tab.; 28 cm
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- T1447642024
OPTIMASI METODE LEARNING VECTOR QUANTIZATION MENGGUNAKAN PARTICLE SWARM OPTIM…
Stroke is a functional disorder condition that occurs due to blockage in blood vessels that transport oxygen and blood to the brain, causing in the death of brain cells, paralysis, and even death. Essentially, stroke can be prevented if treated quickly. However, stroke treatment is often too late because many people are unaware of the risk of stroke beforehand. Therefore, a method is needed tha…
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- xviii, VI-2 hlm.; ilus.; tab.; 29 cm
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- T1485002024
Computer Science, Information & General Works 
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