Data Warehouse

Edition

-

ISBN/ISSN

978-623-713-154-0

Collation

xiii, 291 hlm.; 24 cm

Series Title

-

Call Number

004.65 Mun d

IMPLEMENTASI METODE FASTER REGION CONVOLUTIONAL NEURAL NETWORK UNTUK DETEKSI …

Accurate and efficient ship detection has become an urgent necessity amid increasing maritime activities, including security monitoring, law enforcement, and maritime traffic management. This study aims to implement the Faster R-CNN (Region-based Convolutional Neural Network) method for ship detection to improve efficiency and accuracy compared to conventional methods. The data used in this stu…

INTEGRASI ANALISIS SENTIMEN DAN FRAMEWORK CSI-IPA UNTUK PENGEMBANGAN PRODUK A…

This study integrates Aspect-Based Sentiment Analysis with Customer Satisfaction Index (CSI) and Importance Performance Analysis (IPA) to determine priority development features in digital service applications in the telecommunications sector. A total of 10,000 MyIM3 user reviews were analyzed using Fine-Tuned IndoBert with 93% accuracy, then negative sentiment was mapped into several topics us…

PENGUKURAN KESIAPAN ADOPSI TEKNOLOGI INFORMASI SISTEM PENGELOLAAN ASET DESA (…

MEASURING THE READINESS TO ADOPT THE VILLAGE ASSET MANAGEMENT SYSTEM (SIPADES) INFORMATION TECHNOLOGY IN EAST OGAN KOMERING ULU REGENCY USING THE COMMUNITY READINESS MODEL By Nur Annisa Basulina 09031182227022 ABSTRACT Village asset management is an important aspect in improving the accuracy and transparency of village administration. To support this process, the Village Asset Management System…

PENGUKURAN TINGKAT KESIAPAN ADOPSI TEKNOLOGI SISTEM INFORMASI LEARNING MANAGE…

The implementation of a Learning Management System (LMS) in schools is important to help improve teacher performance and to determine the level of teacher readiness before implementation begins. This study provides a sufficient basis for schools to plan the effective implementation of LMS. This study aims to determine the extent to which teachers at SDN 2 Betung are ready and accept the use of …

MODEL MARKOV CHAIN SEBAGAI METODE ANALISIS PENGHEMATAN ENERGI PADA PERANGKAT …

Smart farming applies Internet of Things (IoT) technology in modern agriculture to enhance efficiency and operational effectiveness. However, continuous operation of IoT devices often results in high energy consumption. This study aims to analyze and optimize energy usage of IoT devices using the Markov Chain model. Five key devices were monitored over four weeks: aerator, LED lamp, power head,…

SISTEM MONITORING PERANGKAT IOT DENGAN PROTOKOL MQTT BERBASIS MIKROKOMPUTER

Device monitoring is an important part of IoT systems, especially for monitoring devices remotely. This study developed an IoT device monitoring system using the MQTT protocol based on a microcomputer. MQTT was chosen because it is lightweight and efficient with a publish-subscribe communication method. The Mosquitto broker is installed on a Raspberry Pi to manage communication between publishe…

ANALISIS KONSUMSI ENERGI DAN MASA HIDUP JARINGAN MENGGUNAKAN METODE LION OPTI…

In this growing modern era, IoT (Internet of Thing) networks have become a new era in IoT networks aimed at expanding the utilization of internet connectivity that is connected continuously. Low Power Lossy Network is part of the IoT network but has limited power and data packets are often lost, short transmission range and low bandwidth can cause waste of power that occurs. Therefore, this res…

PENGGUNAAN METODE LION OPTIMIZATION ALGORITHM UNTUK RATA-RATA ENERGI PADA JAR…

In the era of rapidly developing technology, the Internet of Things (IoT) Network is one of the main applications driving the evolution of the Internet towards the Internet of the Future. LLN (Low Power Lossy Network) is an IoT network that has limited power and also has a low bandwidth which can make excessive energy usage and inappropriate data packet delivery a problem that often occurs on t…

ANALISIS PEMILIHAN JALUR PADA JARINGAN SENSOR NIRKABEL MENGGUNAKAN METODE L-RPL.

Routing Protocols for low-power networks such as Wireless Sensor Networks suffer from decreased depth, increased control overhead, longer latency and higher energy usage. Path selection suffers from the problem of less stability as packet delivery failures are more frequent as nodes are very close to each other in dense networks. Laplacian Routing Protocol low power lossy network (L-RPL) is a p…

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…

 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…

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…

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…

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…

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…

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…

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…

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…

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 …

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…

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 …

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…

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…

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…

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…

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 …

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…

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…

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 …