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MANAJEMEN LALU LINTAS PINTAR MENGGUNAKAN METODE HIGH PRIORITY VEHICLES (HPV) …
Dengan meningkatnya jumlah pengguna jalan yang tidak disertai dengan peningkatan luas jalan, maka sering menyebabkan kemacetan terutama di kota-kota besar, kemacetan yang terjadi mengakibatkan kendaraan tidak bisa sampai tujuan tepat waktu. Fokus penelitian ini adalah menentukan jalur prioritas yang akan menghidupkan lampu hijau lebih lama menggunakan algoritma HPV berdasarkan hasil deteksi dar…
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- xvi, 77 hlm.; Ilus.; 29 cm
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- T1249532023
IMPLEMENTATION OF MUTUAL INFORMATION CLASSIFIER ON PORTSCAN ATTACKS WITH SUPP…
PortScan is an open port attack on machines connected to the network with an attack that can check for open ports. The dataset used in this research is the 2018 CIC-IDS from the Canadian Institute of Cybersecurity. This study discusses visualization of PortScan attacks on Mutual Information Classifier feature selection using the Support Vector Machine method. Then the researchers made a compari…
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- xiv, 103 hlm.; Ilus.; 29 cm
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- T1218422023
KLASIFIKASI 15 KELAS BEATS ARITMIA MENGGUNAKAN GATED RECURRENT UNIT (GRU)
Arrhythmia is a pattern of sudden fluctuations in heart rate from the normal heart rate. Cardiologists often have difficulty explaining electrocardiogram information when manually diagnosing cardiac arrhythmias. Gated Recurrent Unit (GRU) architecture is an effective method in processing time series type data. GRU has the advantage of optimizing the structure of LSTM network, GRU network only h…
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- xv, 90 hlm.; Ilus.; 29 cm
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- T1268162023
IMPLEMENTASI KLASIFIKASI PRA-KANKER SERVIKS MENGGUNAKAN CONVOLUTIONAL NEURAL …
Cervical cancer is the most common type of cancer in women worldwide. Early classification of pre-cancerous cervical cells is important to prevent the development of more serious cervical cancer. This study proposes the implementation of pre-cancer cervical classification using Convolutional Neural Network (CNN) based on the Android platform. The experimental results show that the CNN model can…
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- xiv, 79 hlm.; Ilus.; 29 cm
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- T918882023
PENGGUNAAN METODE BLOCKCHAIN DENGAN ALGORITMA KONSENSUS DELEGATED PROOF OF ST…
Supply chain management involves several parties who play a role in the process of delivering goods or services so that it requires transparency regarding transaction records for all parties involved with the aim of avoiding falsification of transaction data. To overcome these problems, this research aims to build a security system using the blockchain method. Blockchain itself has several type…
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- xiv, 76 hlm.; Ilus.; 29 cm
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- T931902023
VISUALISASI SERANGAN MALWARE SPYWARE DENGAN MENGGUNAKAN METODE SUPPORT VECTOR…
Spyware malware attacks are a significant threat to computer hardware and user privacy. To analyze and make it easier to recognize such attacks effectively, visualization techniques can provide valuable insights into their patterns and characteristics. This research using a machine learning algorithm, Support Vector Machine (SVM). The dataset used in this study is from the CIC MalMem 2022 which…
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- xiv, 71 hlm.; Ilus.; 29 cm
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- T1120822023
PENGGUNAAN METODE BLOCKCHAIN UNTUK STUDI KASUS SUPPLY CHAIN MANAGEMENT DENGAN…
The nature of Supply Chain Management (SCM) which is centralized and utilizes many parties in the process can lead to a lack of data transparency and the possibility of data falsification. Therefore, in this study a system was built to secure data utilizing the blockchain method with a proof of work consensus algorithm. Simulation of supply chain management in this study utilizes RFID technolog…
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- xiii, 36 hlm.; ilus.; 29 cm
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- T917062023
PENERAPAN ALGORITMA ELLIPTIC CURVE INTEGRATED ENCRYPTION SCHEME (ECIES) UNTUK…
Smart home systems are technologies that continue to evolve. They provide convenience and comfort to users in controlling devices in their homes. However, this convenience poses a high security risk for user data leakage. Therefore, an effective encryption algorithm is needed to secure data in smart home systems. One suitable algorithm for use in smart home systems is the Elliptic Curve Integra…
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- xiv, 37 hlm.; ilus.; 29 cm
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- T1050732023
KLASIFIKASI PDF MALWARE PADA LAYANAN AGREGATOR NASIONAL (GARUDA) KEMDIKBUD DI…
Garba Rujukan Digital (GARUDA) merupakan salah satu e-library akademisi Indonesia yang memakai PDF sebagai ekstensi file. Dataset yang digunakan dalam penelitian ini berasal dari portal GARUDA dengan data sebanyak 10000 yang terdiri dari 9800 benign, 196 malicious html, dan enam malicious pdf. Dataset dianalisis menggunakan VirusTotal, PDF-parser dan PDFid. Proses klasifikasi dilakukan sebanyak…
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- xvii, 57 hlm.; ilus.; 29 cm
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- T1251112023
DETEKSI ABNORMALITAS STRUKTUR JANTUNG ANAK DENGAN METODE MASK REGION CONVOLUT…
Detecting abnormal heart structures in infant is an important issue in the field of medicine. One method that can be used to detect abnormal heart structures in children is by using the Mask Region Convolutional Neural Network (Mask-RCNN) method. The process of training MRCNN in detecting abnormal heart structures in children can be done by utilizing well-segmented and labeled heart image datas…
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- xiv, 106 hlm.; ilus.; 29 cm
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- T968652023
MULTIVARIATE TIME SERIES FORECASTING TANDA VITAL PASIEN UNIT PERAWATAN INTENS…
Time series forecasting (TSF) is the task of predicting future values of a particular time sequence. It used in various fields including forecast vital signs data. Vital signs data that are include five parameters; heart rate, blood pressure, oxygen saturation, respiratory rate, and body temperature. Abnormal vital signs help medical practitioners about potential health problems. This research …
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- viii, 64 hlm.; ilus.; 29 cm
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- T884582023
KLASIFIKASI SERANGAN MAN IN THE MIDDLE (MITM) PADA PROTOKOL JARINGAN SCADA(IE…
Cyber attacks on SCADA systems are becoming an increasingly worrying threat. Because they have security holes and attackers can weaken the Intrusion Detection System (IDS) security sensors, especially the Man In The Middle attack which was found attack the IEC 60780-5-104 protocol, which modifies data packets payload M_ME_NB_1 IOA=1 on the An Open Framework for Deploying Experimental SCADA Tes…
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- xvi, 48 hlm.; ilus.; 29 cm
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- T753932022
SELEKSI FITUR UNTUK MENEMUKAN POLA FITUR TERBAIK PADA SISTEM PENDETEKSI SERAN…
DDoS attacks are one of the main threats to security issues on the internet today which have quite a severe impact. As for knowing the best DDoS attack detection, this study applies several selection features to find the best feature pattern in detecting DDoS attacks using the K-Nearest Neighbor method. In the application of selection using several selection features, namely Random Forest Class…
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- xii, 108 hlm.; ilus.; 29 cm
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- T909142023
VISUALISASI DATA SERANGAN UDP FLOOD PADA JARINGAN INTERNET OF THINGS (IOT) ME…
This study focuses on visualize the UDP Flood Attack Pattern on Internet of Things Network Dataset ( doi.org/10.528 /zenodo.4436127). The purpose of this study is to obtain a visual form of the dataset classification results using the Naive Bayes Classifier algorithm which shows the difference between UDP Flood attack data and normal data. The method used in this study is the Naive Bayes Classi…
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- xii, 48 hlm.; ilus.; 29 cm
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- T862172023
VISUALISASI POLA SERANGAN BRUTE FORCE DENGAN ALGORITMA SUPPORT VECTOR MACHINE
Brute force is one of many attacks that are often used by hackers in carrying out the cyber crimes. For recognizing the attack patterns visualization is carried out, so that in presenting this research, looking for attack patterns using parallel coordinates and support vector machines as the classification. In this study, the SVM classification uses several kernels which later will be compared …
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- xi, 78 hlm.; ilus.; 29 cm
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- T898912023
PENERAPAN METODE YOU ONLY LOOK ONCE (YOLOV3) UNTUK MENDETEKSI JUMLAH KENDARAA…
Congestion is a problem that often occurs in big cities caused by the increasing number of vehicles each year without being accompanied by the expansion of highways. There are 3 methods proposed, namely the You Only Look Once version 3 (YOLOv3) method, the Fuzzy Mamdani method, and the Genetic Algorithm. There are 2 types of datasets used, namely photo datasets for the modeling process and CCTV…
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- xvi, 66 hlm.; ilus.; 29 cm
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- T916382023
SELEKSI FITUR UNTUK MENEMUKAN POLA FITUR TERBAIK PADA SISTEM PENDETEKSI SERAN…
DDoS is one of many attacks used by hackes in carrying out cyber crimes. As for knowing attacks detectors, in presenting this research looking for parameters that play a major role ini the DDoS dataset, it is necessary to apply a feature selection. In the application of feature selection using several selection, namely Random Forest Classifier (RFC), Mutual Information Classifier (MIC), Correla…
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- xiv, 100 hlm.; ilus.; 29 cm
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- T855732023
PENERAPAN METODE YOLOv3 UNTUK DETEKSI JUMLAH KENDARAAN BERDASARKAN PANTAUAN C…
Kemacetan lalu lintas masih menjadi permasalahan yang sering dihadapi masyarakat di kota Palembang hingga saat ini masih kesulitan dalam melakukan mobilitas untuk mendukung aktivitas sehari-hari. Dengan memanfaatkan kemajuan teknologi terkini seperti metode berbasis image yang memanfaatkan sensor kamera CCTV lalu lintas untuk mengawasi beberapa jalan raya secara beriringan agar lebih optimal da…
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- xv, 52 hlm.; ilus.; 29 cm
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- T916332023
PENGOPTIMALAN LONG SHORT-TERM MEMORY (LSTM) DENGAN AUTOENCODER UNTUK MENDETEK…
Botnet is a group of programs that have been infected by malware and connected to the internet network that has been controlled by certain parties. Using Long Short-Term Memory (LSTM) can help detect botnet attack data. LSTM, can return better accuracy or better Confusion Matrix. Before entering the detection process, the data first goes through the autoencoder process. The Autoencoder process …
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- xv, 79 hlm.; ilus.; 29 cm
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- T879292023
KLASIFIKASI SERANGAN UDP FLOOD PADA JARINGAN INTERNET OF THINGS (IOT) MENGGUN…
The Internet of things (IoT) is a network that can connect any device to the internet. Denial of Service (DoS) attacks on IoT use reasonable service requests to gain excessive processing and network resources and prevent legitimate users from accessing them. One of the Denial of Service attacks is the User Datagram Protocol (UDP) which is a common form of Denial of Service (DoS) attack, where i…
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- xii, 41 hlm.; ilus.; 29 cm
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- T861782023
OPTIMALISASI ALGORITMA LSTM PADA SISTEM PENDETEKSI SERANGAN BRUTEFORCE MENGGU…
Bruteforce attack is a form of attack to be able to enter network services by making various pairs of usernames and passwords illegally. To avoid this attack you can use different character combinations such as alphabetic, alphanumeric, and alphanumeric with symbols. In an effort to protect network security systems against Bruteforce attacks, an attack detection system such as an Intrusion Dete…
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- xvi, 93 hlm.; ilus.; 29 cm
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- T1141782023
REDUKSI DIMENSI FITUR SERANGAN BRUTEFORCE MENGGUNAKAN METODE AUTOENCODER LSTM…
Bruteforce attack is an attack that uses the trial-error method to obtain user information, especially passwords. To overcome these problems, previous research has applied learning algorithms to cyber attack detection systems and obtained satisfactory results. In the cyber attack approach, there is a misdiagnosis that can arise due to high dimensional data. This study aims to apply the autoenco…
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- xviii, 157 hlm.; ilus.; 29 cm
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- T1141512023
DETEKSI SERANGAN BRUTE FORCE MENGGUNAKAN METODE BIDIRECTIONAL RECURRENT NEURA…
Brute Force Attack is an attack that targets private information such as usernames, passwords, passphrases and other information. Brute force attack sends combinations continuously in the form of different numbers, letters or symbols, until it gets the right combination so that it can access the protected data. Brute force attack tries to break credential information that is valuable for attack…
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- viii, 70 hlm.; ilus.; 29 cm
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- T855962023
ENHANCED STACKED PADA LONG SHORT TERM MEMORY UNTUK MENINGKATKAN KEMAMPUAN KLA…
Distributed Denial Of Service (DDoS) attacks are a type of cyber attack against websites. DDoS is marked by the amount of fake traffic that floods the server, system or internet network. As a result, the target website cannot be accessed because it is unable to manage too much traffic entering the server. There are three objectives in this research, including building a Long Shoer Term Memory S…
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- xvi, 73 hlm.; ilus.; 29 cm
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- T865312023
SISTEM SMART TRANSPORTATION UNTUK PENENTUAN JALUR TERBAIK DENGAN PERBANDINGAN…
Traffic congestion is currently a major problem in big cities in Indonesia. Therefore, a system for determining the best paths is needed to address traffic congestion issues. This system is part of the concept of smart transportation implemented in smart cities. The use of computer vision techniques has attracted attention for the development of smart transportation in traffic. In this research…
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- xviii, 132 hlm.; ilus.; 29 cm
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- T1230382023
PREDIKSI PATH LOSS DENGAN PEMODELAN COST-231 PADA JARINGAN 4G LTE FREKUENSI 1…
Propagation is the existence of a signal sharing area from one place to another and is one of the most important perspectives of cellular wireless network planning. Prediction of path loss or commonly referred to as path loss is a detailed prediction whose role is to see the presence of electromagnetic wave disturbances in space, other factors that influence the disturbance are trees, long trav…
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- xv, 61 hlm.; ilus.; 29 cm
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- T657062022
PERBANDINGAN USER EXPERIENCE APLIKASI TIKET.COM DAN PEGIPEGI MENGGUNAKAN METO…
Advances in information technology make many human activities easier and faster. One form of information technology advancement that exists is the existence of a mobile application that can help users and management companies carry out various business processes online. Over time, people began to use applications to meet their daily needs, including the need to travel, such as booking travel ti…
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- xiii, 50 hlm.; ilus.; 29 cm
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- T889162023
VISUALISASI PDF MALWARE MENGGUNAKAN CLUSTERING K-MEANS PADA LAYANAN GARUDA KE…
K-Means clustering is a method to grouping data based on the similarity of features and detect the hidden patterns in dataset. The dataset is from GARUDA Repository which contains raw data of PDF files. GARUDA dataset extraction process used static analysis method. The data extraction process produced twenty�one features using PDFiD. GARUDA dataset has a multi-class and imbalanced data, there…
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- xiii, 51 hlm.; ilus.; 29 cm
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- T865352023
DETEKSI REMCOS REMOTE ACCESS TROJAN (RAT) PADA PHISHING EMAIL CORONA VIRUS DE…
Remote Access Trojan (RAT) is a special type of remote access software commonly used for malicious purposes, in which the installation is performed without the user's consent, the remote control then performed silently, and the program hides in the system to avoid detection. Cyber attackers send phishing emails based on COVID-19 themes that attached with malware to disable networks or to steal …
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- xii, 58 hlm.; ilus.; 29 cm
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- T861572023
EFEK JARINGAN RELAY SEDERHANA TERHADAP JARINGAN BITCOIN
Bitcoin has a low transaction throughput. Shortening the block interval is important to improving output. However, it is still difficult to simply shorten the block interval because the interval is set as the critical time for a block to be spread out sufficiently in the network. In addition, shorter block intervals can lead to more orphan blocks. The utilization of relay networks is one way to…
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- viii, 56 hlm.; ilus.; 29 cm
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- T870542023
Computer Science, Information & General Works 
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