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ANALISIS EFISIENSI ENERGI RPL PADA JARINGAN SENSOR NIRKABEL MENGGUNAKAN METOD…
A routing protocol (RPL) specifically designed for networks with low power and high loss, such as Wireless Sensor Networks. RPL can be optimized for Energy Efficiency, due to limited resources and weak connections, the probability of network disconnection is quite high.This will cause losses resulting in more amount of energy consumption at the nodes to retransmit the packets. In this regard, R…
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- xii, 46 hlm.; ilus.; tab, 29 cm.
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- T1550702024
ANALISA KINERJA INFRASTRUCTURE AS A SERVICE PADA CLOUD COMPUTING DENGAN PEN…
Cloud Computing, particularly Infrastructure as a Service (IaaS), offers high flexibility, cost efficiency, and scalability in managing computing resources. However, fluctuating demands and dynamic workloads require adaptive management strategies to maintain service quality. This study explores the use of Reinforcement Learning (RL) algorithms, specifically Deep Q-Network (DQN) and Proximal Pol…
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- xv, 99 hlm.; ilus.; 29 cm
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- T1631532024
IMPLEMENTASI SMART HOME UNTUK MENGATUR TEMPERATUR, CAHAYA, DAN KEAMANAN PINTU…
The main idea of a smart home is a technology that can control devices in the home environment system with an internet connection automatically. As time advances, automation has become a system that can make activities easier for a person and help a person feel comfortable when resting, especially in the home environment, such as an automatic switch light or a room temperature monitoring system…
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- ix, 63 hlm.; Ilus.; 29 cm
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- T1390482024
KLASIFIKASI SINYAL EEG UNTUK MENGENALI JENIS EMOSI MENGGUNAKAN RECURRENT NEUR…
Penelitian ini berfokus pada eksplorasi mendalam dan analisis tentang penerapan dua jenis Recurrent Neural Network (RNN), yakni Long Short-Term Memory (LSTM) dan Gated Recurrent Unit (GRU). Dua model tersebut dilatih dengan parameter yang sama, terdiri dari 3 lapisan, menggunakan fungsi aktivasi relu, dan menerapkan 1 tingkat dropout. Dalam rangka membandingkan kinerja keduanya, dilakukan perco…
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- xiv, 36 hlm.; Ilus.; 29 cm
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- T1406102024
CLUSTERING SERANGAN MAN IN THE MIDDLE (MITM) PADA BLOCKCHAIN BERBASIS CHAIN D…
Network security on Internet of Thing (IoT) devices in the IoT development process may open rooms for hackers and other problems if not properly protected, particularly in the addition of internet connectivity to computing device systems that are interrelated in transferring data automatically over the network. This study implements network detection on IoT network security resembles security s…
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- xi, 58 hlm.; Ilus.; 29 cm
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- T1393112024
IMPLEMENTASI PERGANTIAN CHANNEL PADA JARINGAN MESH BERBASIS ESP32.
Internet of Things (IoT) is an innovation in the fields of education and industry, devices that adapt this technology have very diverse capabilities depending on their constituent components. There are many devices that apply this concept, for example in the agricultural sector, many tasks can be automated to make it easier and more cost-effective. This will keep production costs much lower. Ho…
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- xiii, 58 hlm.; Ilus.; 29 cm
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- T1391282023
MODERNISASI DINKES OKU SELATAN DENGAN ALAT PENGUKUR TINGGI BADAN, BERAT BADAN…
Having an ideal body weight is a dream and desire for everyone. There are many ways to achieve this, such as regular exercise, managing diet, and, importantly, monitoring body conditions using a reliable and efficient measuring tool. Therefore, a device or system has been created that integrates height, weight, and body temperature measurements into one device, working automatically and based o…
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- xi, 45 hlm.; Ilus.; 29 cm
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- T1390402023
IMPLEMENTASI PEMANTAUAN BANDWIDTH JARINGAN BERDASARKAN ZABBIX DENGAN METODE P…
SNMP is a protocol required by network monitoring applications. Protocols can make recipients and senders of information able to communicate with each other. Maintaining network performance is an important thing to do for a company to achieve high service availability. In the first stage of research, a literature study is carried out to find several references related to the research being carr…
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- xvi, 52 hlm.; Ilus.; 29 cm
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- T1392832023
SISTEM OBJEK TRACKING PADA KEBUN MENGGUNAKAN OPENCV DENGAN ALGORITMA BACKGROU…
The Background Substraction Algorithm is very useful for detecting significant changes in images, such as objects appering and changes in environmental conditions. The advantage of this system is the application of the Internet of Things, which can access data directly via applications remotely, using IoT to collect data on plantations, including images from cameras installed at plantation loca…
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- xiii, 53 hlm.; Ilus.; 29 cm
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- T1396882024
KEYPHRASE EXTRACTION MENGGUNAKAN PRE-TRAINED LANGUAGE MODEL ROBERTA DAN TOPIC…
In the current digital information era, the vast amount of text from various sources such as websites and academic documents poses a challenge for humans to comprehend the information contained in readings. Keyphrase extraction can be one solution to determine the most relevant words from a scholarly publication. One of the keyphrase extraction methods is the Pre-trained Language Model RoBERTa …
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- xxv, 221 hlm.; Ilus.; 29 cm
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- T1383582024
KLASIFIKASI LUKA MENGGUNAKAN METODE CONVOLUTIONAL NEURAL NETWORK PADA APLIKAS…
A wound is damage that occurs to body tissue. Effective wound treatment requires a quick initial diagnosis, but often the process of manual wound diagnosis by medical personnel is not always efficient and takes quite a long time. In this research, the author developed an application to classify types of wounds using the Convolutional Neural Network (CNN) method and the Inception V3 model in a m…
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- xv, 72 hlm.; Ilus.; 29 cm
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- T1379682024
KLASIFIKASI GAMBAR JENIS JAMUR DENGAN METODE CONVOLUTIONAL NEURAL NETWORK
Indonesia is a country rich in mushrooms diversity. According to data from the 2015 Indonesia Biodiversity and Action Plan, there are around 86,000 types of macro and micro mushrooms in Indonesia out of 1.5 million fungal species worldwide. This number is only about 6% of the total types of mushrooms worldwide that are found in Indonesia. This classification of mushroom types can be useful for …
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- xiv, 73 hlm.; Ilus.; 29 cm
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- T1392142024
IMPLEMENTASI BOT MONITORING PADA PERANGKAT ROUTER JARINGAN SOHO ( SMALL OFFIC…
Network monitoring is the process of monitoring any changes that occur on the network by knowing whether a device connected to the network is functioning or not, if there is a disturbance it will reduce the performance of the infrastructure of the network. This router monitoring aims to build a system to monitor SOHO (Small Office Home Office) router networks using instant messaging bots by sen…
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- xxii, 112 hlm.; Ilus.; 29 cm
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- T1106012023
KLASIFIKASI SERANGAN DDOS PADA JARINGAN IOT DENGAN MENGGUNAKAN ALGORITMA K-NE…
In recent years, Internet of Things (IoT) sensors have become increasingly integrated into various devices and fields. Therefore, the security of IoT sensors is becoming more vulnerable to attacks. In this research, the K-Nearest Neighbors (KNN) algorithm is employed to classify attacks in the dataset. The dataset is obtained from interactions between DDos attacks and normal interactions, and i…
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- xiii, 44 hlm.; Ilus.; 29 cm
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- T1385432024
IMPLEMENTASI JARINGAN MESH PADA ESP32 SEBAGAI TRANSMISI DATA IOT
Internet of Things (IoT) is a concept that allows humans to make every job easier. With the presence of this concept, it can bring the development of advanced human civilization. The need for a system that can optimize data transmission on IoT devices has become an important requirement. There are many types of topologies that can be applied, but in the author's research this time, the topology…
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- xiv, 57 hlm.; Ilus.; 29 cm
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- T1395992024
PURWARUPA PEMANTAU KEBISINGAN BERBASIS INTERNET OF THINGS (IoT)
Noise pollution in the environment, particularly in workplaces and educational settings, poses negative impacts on human health. In 2018, the government set Noise Threshold Values (NTV) to protect workers from NoiseInduced Hearing Loss. Campuses, as educational environments, also have noise threshold limits that need to be maintained to create conducive conditions for students. Measurement of n…
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- xv, 57 hlm.; Ilus.; 29 cm
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- T1405422024
DELINEASI GELOMBANG P DAN RR-INTERVAL PADA SINYAL ELEKTROKARDIOGRAM SINGLE-LE…
This research aims to perform the delineation of P-waves and RR-intervals in single-lead electrocardiogram (ECG) signals using Recurrent Neural Networks (RNN). The ECG signals consist of P, Q, R, S, T, and U waves. The delineation process is conducted to identify waves in the EKG signal, dividing the data into eight classes, namely Pwave, Poff-Qon, Qon-Rpeak, Rpeak-Qoff, Qoff-Ton, Twave, Toff-P…
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- xiv, 68 hlm.; Ilus.; 29 cm
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- T1382162024
PERBANDINGAN KINERJA KLASIFIKASI ABNORMALITAS JANTUNG JANIN DENGAN MENGGUNAKA…
The use of Artificial Intelligence Technology in the field of Computer Vision has enabled the classification of fetal heart abnormalities by utilizing one of the Classification approaches. With technological advances, the image classification process can be implemented using Deep Learning (DL) models. This research uses the architecture of 10 Convolutional Neural Network Architectures for the F…
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- xii, 322 hlm.; Ilus.; 29 cm
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- T1255862023
KLASIFIKASI MULTICLASS SINYAL ELEKTROKARDIOGRAM BERBASIS DEEP LEARNING MENGGU…
The use of Deep Learning (DL) models in signal processing aims to improve efficiency and effectiveness in extracting information from available data. This research aims to classify heart disease classes in a dataset of medical signals derived from Electrocardiograms. In this study, classification is performed on three heart disease classes: Normal, AF, and AFL. The method used in this research …
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- xiv, 50 hlm.; ilus.; 29 cm
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- T1158442023
PENGENALAN OBJEK SECARA REAL TIME MENGGUNAKAN CONVOLUTIONAL NEURAL NETWORKS M…
Object recognition is a technology related to Computer Vision which can detect and recognize objects in digital images. However, the process of detecting and recognizing objects is something that is very difficult to do by a computer due to the many factors that can affect the shape of the object in a digital image. In this study, researchers will discuss object recognition in real time using c…
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- xv, 40 hlm.; Ilus.; 29 cm
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- T1281462023
KLASIFIKASI RAMBU LALU LINTAS MENGGUNAKAN CONVOLUTIONAL NEURAL NETWORK
Classification of traffic signs is considered as one of the most important parts of the Advance Driver Assistance System (ADAS) with the main objective of reducing the number of road accidents and overcoming wrong route selection. Convolutional Neural Network (CNN) is a type of neural network that is commonly used in image data. CNN can be used to recognize and detect objects in an image. Image…
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- xv, 44 hlm.; Ilus.; 29 cm
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- T1280792023
PENGHAPUSAN DERAU PADA CITRA MAGNETIC RESONANCE IMAGING (MRI) OTAK MENGGUNAKA…
Magnetic resonance imaging (MRI) images often contain noise, for example in brain imaging. The noise removal algorithm used is Convolutional Autoencoder Network (CAN) which produces a superior noise reduction effect compared to some other advanced algorithms. This research uses a dataset from Kaggle that contains 253 brain MRI images. The noise removal results using CAN on images with Gaussian …
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- xviii, 56 hlm.; Ilus.; 29 cm
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- T1063132023
PERANCANGAN SISTEM PENCAMPUR AIR, BUBUK KOPI, DAN GULA PADA MESIN PEMBUAT KOP…
The development of increasingly sophisticated technology demands sophistication in all things, without exception, including in serving food and drinks in fast food restaurants. Coffee is one of the drinks that many Indonesians like. The distinctive aroma and taste packaged by coffee make the opium connoisseurs addicted so they want to taste it again, moreover enjoying a cup of coffee is very at…
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- xiii, 52 hlm.; Ilus.; 29 cm
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- T1055572023
REKONSTRUKSI CITRA ULTRASONOGRAFI TRANSCEREBELLAR 2 DIMENSI MENJADI TRANSCERE…
Reconstruction of two-dimensional transcerebellar images into three�dimensional transcerebellar has an important role in diagnosis and treatment planning in neurology. This study proposes the 3D-FHNet method to produce an accurate three-dimensional representation of transcerebellar images. The study began with segmentation of transcerebellar objects on well-labeled ultrasound datasets. The se…
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- xvi, 61 hlm.; Ilus.; 29 cm
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- T1249652023
PENERAPAN SMART TRANSPORTATION PADA SMART CITY UNTUK MENENTUKAN RUTE TERBAIK …
In this study using the You Only Look Once Version 8 (YOLOv8) algorithm to detect and count the number of vehicles based on CCTV recordings, The Recurrent Neural Network (RNN) method optimized with Grid Search (GS) is used to predict road density conditions so as to get smooth, medium, congested output, and to determine the best route using the A-Star algorithm. This study uses a dataset of veh…
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- xvi, 118 hlm.; Ilus.; 29 cm
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- T1217862023
PENGOLAHAN CITRA TRANSCEREBELLAR PADA KEPALA JANIN DARI CITRA ULTRASONOGRAFI …
Ultrasonography (USG) is an electronic technology that uses sound waves with high frequencies above 20,000 hertz to produce images of the structure of organs in the body. Ultrasound is usually used by doctors to detect the contents of pregnant women. However, the inspection process takes a long time and requires special expertise. This is a challenge, especially to detect objects that are insid…
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- xixx, 140 hlm.; Ilus.; 29 cm
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- T1262692023
PENENTUAN JALUR TERBAIK DENGAN MENGGUNAKAN METODE ARTIFICIAL NEURAL NETWORK D…
Traffic congestion in Indonesia remains a complex and unresolved issue. With the advancement of Artificial Intelligence (AI), Machine Learning, and Optimization, there has been a recent innovation to address this traffic problem. This innovation involves determining optimal routes by harnessing these advanced technologies. Artificial Intelligence (AI), Machine Learning, and Optimization technol…
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- xvii, 111 hlm.; Ilus.; 29 cm
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- T1291082023
PENGENDALI KIPAS ANGIN DENGAN GOOGLE ASSISTANT BERBASIS INTERNET OF THINGS (IoT)
Kipas angin adalah salah satu perangkat pendingin yang umum digunakan di rumah,kantor, dan tempat lainnya. Di era digital saat ini, integrasi perangkat elektronik dengan teknologi Internet of Things (IoT) telah memungkinkan otomatisasi dan pengendalian jarak jauh perangkat seperti kipas angin. Penelitian ini bertujuan untuk mengembangkan sebuah sistem pengendalian kipas angin dengan menggunakan…
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- xv, 53 hlm.; Ilus.; 29 cm
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- T1294712023
SISTEM PAKAR DIAGNOSA AWAL TAHAPAN STRES PADA REMAJA MENGGUNAKAN METODE FORWA…
Learning as if internally and externally done, as well as extracurricular activities carried out by High School (SHS) students are the main triggers for stress, so their physically and mentally exhausted. In developing a system that will help students with stress problems, the method used is the ForwardChaining and Naive Bayes method. Forward Chaining research is to quickly determine stress lev…
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- xvii, 71 hlm.; ilus.; 29 cm
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- T1317782023
OPTIMALISASI TEKNIK KLASIFIKASI SERANGAN BOTNET DENGAN MENGGUNAKAN SELEKSI FI…
A botnet consists of a group of interconnected software programs that communicate with each other via the internet to perform designated functions. This software is programmed to operate automatically in the network. A botnet driver, also known as a bot master, remotely controls each computer that is part of a botnet network. Therefore, it can be concluded that if a computer is infected with a …
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- xiii, 83 hlm.; Ilus.; 29 cm
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- T1285752022
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