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VISUALISASI HASIL MONITORING DAN EVALUASI USER AKSES INTERNET DI FASILKOM UNSRI
Internet networks have become a vital infrastructure of modern life, connecting devices around the world. The internet enables information exchange, communication and access to digital resources globally. However, internet networks also face a number of issues that need attention. Network analysis is needed in monitoring internet networks that have busy internet activity and extensive communica…
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- xiv, 86 hlm.; ilus.; 29 cm
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- T1285262023
IMPLEMENTASI KEAMANAN DATA PADA SUPPLY CHAIN MANAGEMENT MENGGUNAKAN METODE BL…
Blockchain merupakan teknologi yang berkembang dengan pesat dengan teknologi keamanan data yang akan meningkatkan kepercayaan suatu pengguna melalui sistem yang terdistribusi. Blockchain terdapat fitur transparan akan menghasilkan informasi tertanam yang akan menghasilkan data yang akurat. Berdasarkan fitur yang dimiliki, Blockchain dimanfaatkan dalam bidang lainnya contohnya supply chain manag…
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- xv, 83 hlm.; ilus.; 29 cm
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- T1051652023
PENERAPAN ALGORITMA K-NEAREST NEIGHBOR UNTUK PENENTUAN LOKASI DAN METODE FUZZ…
Supply Chain Management is the key to the excellence of a company. Good management can provide significant benefits in terms of cost, efficiency, and customer satisfaction. RFID systems utilize data retrieval by determining the target tag position for an object. The RSSI value indicates the signal strength processed by KNN to calculate the estimated position and error value of each other. As we…
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- viii, 103 hlm.; ilus.; 29 cm
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- T933112023
PENGAMANAN PESAN PADA MEDIA CITRA MENGGUNAKAN RANDOM LSB
Delivering information using internet media requires a level of data security, so that data cannot be accessed by unauthorized people so that it’s confidentiality is maintained. There are several ways to maintain data security, one of which is the steganography technique. In steganopgrapy there are many methods, one of which is often used is the Least Significant Bit (LSB), but if only use LS…
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- xv, 82 hlm.; ilus.; 29 cm
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- T609702021
IMPLEMENTASI PENDETEKSI PESAWAT MENGGUNAKAN RADAR T-WIPP3 DAN RASPBERRY PI3
ADS-B is a detection technology where each aircraft via its own transponder transmits information about altitude, position, speed, direction, and other information every second every second to ground stations and other aircraft. This information is obtained from information (GPS), or Flight Management System (FMS) backups on board, respectively. This research focuses on Radar T – WIPP3 and AD…
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- xii, 64 hlm.; ilus.; 29 cm
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- T751812021
EVALUASI KEPUASAN PENGGUNA PADA WEBSITE PALTV (PALTV.CO.ID/ONLINE) DENGAN MET…
The problems that exist in PT. Sumeks PalTV, where it is suspected that the decrease viewers on the PalTV website (paltv.co.id/online) was caused by the cessation of content operations on the site as well as a lack of human resources. To find out what the problem was, an interview was conducted with Mr. Rizal as the marketing department and Mr. Bastoni as the IT department at PalTV. The author …
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- xv, 82 hlm.; ilus.; 29 cm
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- T732142021
DETEKSI JANTUNG ANAK MENGGUNAKAN DEEP LEARNING
USG or Ultrasonography is a non-invasive medical imaging method that uses high-frequency sound waves to visualize organs, tissues, and structures in the human body, including the hearts of children. This research involves a learning process using deep learning with the Convolutional Neural Network (CNN) architecture called You Only Look Once (YOLO). A total of 11 models from YOLOv7 and YOLOv8 w…
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- xi, 110 hlm.; ilus.; 29 cm
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- T1228572023
PERBANDINGAN METODE RANDOM FOREST DIOPTIMASI DENGAN GENETIK ALGORITMA DAN MET…
Technological advancements provide many capabilities to minimize traffic congestion, allow drivers to find the most efficient route and eliminate congestion on the road. Smart transportation in smart cities is an important milestone in technological advancement. To support smart transportation, it is necessary to utilize machine learning to determine the best route. This research focuses on uti…
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- xvii, 150 hlm.; ilus.; 29 cm
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- T1247132023
KOMPARASI PADA CLUSTERING DATA LOG BLOCKCHAIN PERFORMANCE MONITORING CITA DAN…
CITA is a high-performance blockchain system for enterprises with 6 microservices (RPC, Auth, Consensus, Chain, Executor, Network) that exchange information through Message Bus. Message Bus uses RabbitMQ message broker platform for message queue processing. Both datasets in the form of hardware performance logs from CITA and RabbitMQ are clustering with the Mean Shift algorithm, which does not …
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- xv, 55 hlm.; ilus.; 29 cm
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- T1265312023
PENERAPAN SMART TRANSPORTATION PADA SMART CITY UNTUK MENENTUKAN RUTE TERBAIK …
Every year, traffic jams get worse as more and more vehicles fill the roads, causing delays for drivers. The solution to this problem is the implementation of Smart Transportation in Smart City which can determine the best route for drivers. To create this system, the You Only Look Once version 8 (YOLOv8) algorithm is used to count the number of vehicles in CCTV footage, while a Recurrent Neura…
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- xviii, 131 hlm.; ilus.; 29 cm
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- T1267832023
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
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