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IMPLEMENTASI METODE CONVOLUTIONAL NEURAL NETWORK (CNN) BERBASIS INTERNET OF T…
Pertanian anggur di Indonesia menghadapi tantangan serius akibat serangan hama yang menurunkan kualitas dan kuantitas hasil panen, sehingga diperlukan sistem deteksi yang cepat dan akurat. Penelitian ini bertujuan mengimplementasikan metode Convolutional Neural Network (CNN) berbasis MobileNetV2 yang terintegrasi dengan Internet of Things (IoT) untuk mendeteksi dan mengklasifikasikan hama pada …
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- xviii, 117 hlm.; ilus.; tab.; 29 cm
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- T1900102025
KLASIFIKASI KANKER KULIT MENGGUNAKAN VISION TRANSFORMER (VIT)
This research presents the implementation and evaluation of a LightWeight Vision Transformer (ViT) architecture for classifying seven different types of skin cancer using medical dermoscopic images from the HAM10000 dataset. The methodology includes data preprocessing, class balancing using Random Oversampling, and splitting the dataset into training and testing sets. Several hyperparameter con…
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- x, 121 hlm.; ilus.; tab.; 29 cm
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- T1896852025
IMPLEMENTASI CONVOLUTIONAL NEURAL NETWORK (CNN) DENGAN ARSITEKTUR EFFICIENTNE…
The rapid advancement of deepfake technology poses significant challenges, as it enables the generation of highly realistic synthetic facial images that are increasingly difficult to distinguish from authentic ones. This development raises substantial concerns regarding information verification and biometric security. This study aims to address these issues by implementing a deepfake detection …
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- xv, 100 hlm.; ilus.; tab.; 29 cm
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- T1897952025
PENERAPAN ALGORITMA RANDOM FOREST UNTUK SENTIMEN ANALISIS PADA POSTINGAN FACE…
Traffic congestion is a recurring issue in Palembang City and significantly affects the daily activities of its residents. Social media, particularly Facebook, serves as a platform for the public to express their opinions and complaints regarding traffic conditions. This study aims to analyze public sentiment toward traffic congestion in Palembang City using the Random Forest algorithm. The res…
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- xv, 106 hlm.; ilus.; tab.; 29 cm
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- T1893912025
PERANCANGAN SMART DOOR UNTUK KEAMANAN PINTU OTOMATIS DAN ABSENSI BERBASIS INT…
This study aims to design and develop an Internet of Things (IoT)-based smart door system that integrates automatic door security and digital attendance. The system uses RFID technology for access authentication and NodeMCU as the main microcontroller that connects devices to the internet. By scanning a registered RFID card, users can automatically unlock the door, and attendance data is record…
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- xii, 82 hlm.; ilus.; tab, 29 cm
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- T1816622025
PENENTUAN JALUR TERBAIK UNTUK SISTEM TRANSPORTASI PINTAR MENGGUNAKAN METODE H…
Cities around the world, including the City of Palembang, are facing increasing challenges in terms of transportation management. Population growth, urbanization and continuous population mobility have led to increased traffic, congestion and challenges in achieving efficient mobility. So a research was carried out using various models and algorithms in the context of object recognition, vehicl…
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- xiii, 142 hlm.; ilus.; 29 cm
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- T1531982024
IMPLEMENTASI LOAD BALANCER DENGAN METODE MTBLB (MULTI-TIME BASED LOAD BALANCI…
Penggunaan layanan cloud telah menjadi semakin populer dalam beberapa tahun terakhir, memicu peningkatan permintaan terhadap sumber daya cloud computing yang lebih besar dan efisien. Hal ini menimbulkan tantangan baru dalam mengelola beban kerja yang semakin kompleks dan beragam. Penelitian ini bertujuan untuk memvalidasi efektivitas metode load balancing MTBLB (Multi-time Based Load Balancing)…
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- x, 73 hlm.; ilus.; 29 cm
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- T1525422024
ANALISIS PENGARUH SOCIAL CUSTOMER RELATIONSHIP MANAGEMENT (SCRM) TERHADAP MIN…
GrabFood, makes it easier for consumers to buy food and beverages without having to go to a restaurant. The competition between GrabFood and its competitors is currently growing rapidly. Therefore, GrabFood implements CRM activities by promoting various promotions and foods through social media platforms using the Instagram account @grabfood.id. This study focuses on examining whether activitie…
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- xiii, 126 hlm.; ilus.; 29 cm
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- T1525052024
IMPLEMENTASI DAN ANALISIS PERFORMA HIGH AVAILABILITY WEB SERVER PADA CLUSTER …
Pada masa kini semakin meningkat pengguna internet yang mengakses website pada waktu tertentu yang mana dapat menyebabkan kinerja web server menjadi buruk hingga mengalami downtime. Maka dari itu diperlukan sebuah sistem yang dapat aktif menjalankan web server secara terus menerus tanpa gangguan, yaitu Kubernetes. Kubernetes menerapkan cluster based yang terdiri dari satu node master dan bebera…
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- ix, 74 hlm.; ilus.; 29 cm
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- T1525412024
LABELISASI OTOMATIS DAN SEGMENTASI CITRA JANTUNG JANIN MENGGUNAKAN DEEP LEARNING
Proses labelisasi manual pada citra USG merupakan tugas yang menantang dikarenakan memerlukan ketelitian tinggi dan waktu yang lama. Sehingga labelisasi otomatis dengan deep learning dapat menjadi solusi. Penelitian ini bertujuan untuk mengetahui performa segmentasi dan labelisasi otomatis dengan menggunakan deep learning. Data dari penelitian menggunakan pemeriksaan USG pada jantung janin berj…
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- ix, 74 hlm.; ilus.; 29 cm
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- T1512512024
IMPLEMENTASI SISTEM DETEKSI KETERSEDIAAN SLOT PARKIR MOTOR DI FASILKOM UNSRI …
Motorcycle parking is a problem for students, lecturers, and employees at Fasilkom UNSRI Bukit Besar campus Palembang due to limited parking space and lack of information about empty parking slots. This causes difficulties in finding a safe and convenient parking lot, as well as wasting time and fuel. The purpose of this research is to develop a motorcycle parking slot availability detection sy…
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- xiii, 35 hlm.; ilus.; 29 cm
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- T1520762024
ANALISIS DAMPAK QUANTUM COMPUTING TERHADAP KEAMANAN SISTEM KRIPTOGRAFI KONVEN…
Kemajuan komputasi kuantum membawa tantangan besar bagi keamanan sistem kriptografi konvensional yang saat ini banyak digunakan, seperti RSA dan ECC, yang bergantung pada kesulitan komputasi faktorisasi bilangan besar dan logaritma diskret. Penelitian ini bertujuan untuk menganalisis dampak dari komputasi kuantum terhadap algoritma kriptografi konvensional dengan menggunakan simulasi algoritma …
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- xv, 99 hlm.; ilus.; tab.; 29 cm.
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- T1839992025
ANALISIS SENTIMEN TERHADAP KEMACETAN LALU LINTAS MENGGUNAKAN YOLOv8 DENGAN AL…
Penelitian ini mengusulkan pendekatan hibrida untuk mendeteksi kemacetan lalu lintas dengan menggabungkan data visual dari CCTV, yang diproses menggunakan algoritma YOLOv8, dan data opini publik dari komentar Instagram, yang dianalisis menggunakan algoritma Gated Recurrent Unit (GRU). Dataset yang digunakan terdiri dari 7.680 citra berlabel dan 660 komentar media sosial. Hasil deteksi kendaraan…
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- xv, 94 hlm.; ilus.; tab.; 29 cm.
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- T1838632025
PENERAPAN METODE EXTREME GRADIENT BOOSTING UNTUK DETEKSI MULTI-CLASSIFICATION…
In the developing digital era, cybersecurity threats are increasing. One of the solutions commonly used in securing networks is the Network Intrusion Detection System (NIDS). To improve the performance of NIDS, this study applies the Machine Learning (ML) method, namely the Extreme Gradient Boosting (XGBoost) method, because it is considered to have high performance and its ability to handle co…
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- xiv, 95 hlm.; ilus.; tab.; 29 cm
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- T1842022025
VISUALISASI TRAFIK SERANGAN SIBER DENGAN METODE GEO IP
The escalation of cyber attack activities demands intensive network traffic monitoring by network administrators. However, conventional monitoring methods relying on text-based log analysis are often inefficient due to the difficulty in rapidly identifying attack patterns and origins. This study aims to design and build a cyber attack traffic visualization system by applying the Geo IPmethod. T…
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- xv, 96 hlm.; ilus.; tab.; 29 cm.
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- T1894712025
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,…
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- xvi, 152 hlm.; ilus.; tab.; 29 cm.
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- T1894512025
ANALISIS SENTIMEN KEMACETAN DI KOTA PALEMBANG BERDASARKAN DATA MEDIA SOSIAL F…
Sentiment analysis on traffic congestion in Palembang City was carried out using Facebook comments that represent public opinions regarding daily traffic conditions. Data were obtained through web scraping, and after undergoing preprocessing stages—such as text cleaning, tokenization, stopwords removal, stemming, and normalization—a total of 2,505 cleaned entries were prepared and transform…
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- xiii, 81 hlm.; ilus.; tab.; 29 cm.
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- T1893792025
ANALISIS KUALITAS DISASTER RECOVERY CENTER (DRC) DENGAN PARAMETER QUALITY OF …
Disaster Recovery Center (DRC) is an essential solution for maintaining the continuity of information technology services during disruptions. This study analyzes the quality of DRC using Quality of Service (QoS) parameters, namely throughput, delay, jitter, and packet loss, with the Multivariate Analysis of Variance (MANOVA) method. Implementation was done with a hot standby topology and testin…
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- xvi, 165 hlm.; ilus.; tab.; 29 cm.
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- T1842172025
KLASIFIKASI PENYAKIT MATA MENGGUNAKAN CONVOLUTIONAL NEURAL NETWORK (CNN) : PE…
This study examines the use of the Convolutional Neural Network (CNN) algorithm for eye disease classification based on retinal images. The research methodology involves collecting a dataset from the Kaggle website, named eye_disease_classification, which includes four main categories: normal, cataract, diabetic retinopathy, and glaucoma, with a total of 4,233 images before augmentation. The da…
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- xiv, 62 hlm.; ilus.; tab, 29 cm
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- T1894082025
PERSEPSI KEMACETAN LALU LINTAS DI KOTA PALEMBANG BERDASARKAN ANALISIS SENTIME…
Traffic congestion in Palembang City is a frequent problem that impacts community activities and productivity. This study aims to analyze public perceptions of traffic congestion in Palembang City through sentiment analysis on Facebook social media using the Decision Tree Algorithm. Data were collected through web scraping techniques on public comments related to text data traffic over a 32-mon…
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- xvi, 146 hlm.; ilus.; tab, 29 cm
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- T1892832025
SIMULASI DETEKSI PELANGGARAN PENGGUNAAN HELM DAN KECEPATAN KENDARAAN MENGGUNA…
This research will focus on developing and testing a helmet violation and vehicle speed detection system based on the YOLO algorithm and classification using a Convolutional Neural Network (CNN). The purpose of writing this thesis is to implement the YOLOv8 algorithm for Detecting Helmet Violations and Vehicle Speed, calculating the accuracy level of the detection system using You Only Look Onc…
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- xii, 75 hlm.; ilus.; 29 cm
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- T1520552024
DETEKSI PELANGGARAN DAN KECEPATAN KENDARAAN MENGGUNAKAN YOLO DAN ALGORITMA DE…
The purpose of this research is to create a detection system for violations of not using helmets and speed limit violations at several road points in Palembang City. This research uses YOLOv8 combined with Deepsort to detect the number of vehicles, especially the class of motorcycles not using helmets and speed detection. As a result, the accuracy of detection of violations not using helmets re…
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- xv, 130 hlm.; ilus.; 29 cm
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- T1520562024
PREDIKSI MORTALITAS PADA PASIEN INSTALASI PERAWATAN INTENSIF MENGGUNAKAN DEEP…
Mortality prediction for patients in intensive care units (ICUs) is crucial for care planning, resource allocation, and timely medical decision-making. To enhance the accuracy of these predictions, artificial intelligence (AI) technology has shown promising results. This study aims to develop deep learning methods to improve the accuracy of mortality predictions for ICU patients, addressing mis…
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- xiv, 82 hlm.; ilus,; tab, 29 cm
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- T1562922024
PENERAPAN ROBOT BAWAH AIR UNTUK MENENTUKAN KUALITAS AIR MENGGUNAKAN METODE FU…
his research aims to develop and implement an underwater robot for water quality monitoring using the Mamdani Fuzzy Logic method. The background of this research is the need for technology capable of efficiently and accurately monitoring water quality, especially in areas that are difficult for humans to reach. Water is one of the most crucial natural resources for life, but its quality is ofte…
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- xv, 47 hlm.; ilus.; tab, 29 cm
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- T1563962024
DELINEASI 12 - LEAD SINYAL ELECTROCARDIOGRAM BERBASIS DEEP LEARNING UNTUK PEN…
Interpretation of electrocardiogram signal waves is one of the crucial steps to diagnose heart disease. The use of deep learning that has been proven to be able to run feature extraction will be used in this study which aims to facilitate the delineation process of electrocardiogram signal waves. The use of CNN-BiGRU and CNN-BiLSTM architecture to perform delineation on the Lobachevsky Universi…
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- xviii, 151 hlm.; ilus.; 29 cm
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- T1586892024
SIMULASI METODE BLOCKCHAIN DENGAN ALGORITMA KONSENSUS PROOF OF WORK (POW) UNT…
Blockchain is a collection of blocks arranged sequentially and starting with the first block called the “Genesis Block”, where these blocks are able to store data containing transactions that have been carried out previously. Blockchain is widely used in other fields, one example of which is supply chain management. The algorithm in this research uses proof of work where nodes solve mathema…
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- xiv, 105 hlm.; ilus.; tab.; 29 cm
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- T1564032024
KLASIFIKASI ARITMIA PADA SINYAL FETAL ECG BERBASIS DEEP LEARNING
Fetal Electrocardiogram (ECG) is a type of signal that reflects the electrophysiological activity of the fetal heart. The non-invasive abdominal electrode method is employed to obtain fetal EKG signals. Classification was conducted between normal and arrhythmia categories using two main approaches, which are autoencoder-Deep Neural Network (DNN) and Convolutional Neural Network (CNN). The autoe…
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- xii, 87 hlm.; ilus.; tab, 29 cm
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- T1565642024
DETEKSI SERANGAN SQL INJECTION DENGAN APACHE SPARK MENGGUNAKAN METODE K-MEANS…
Structured Query Language Injection or commonly called SQL Injection is a hacking technique to gain access to a SQL-based database system. Structured Query Language is a language used to create, process and manipulate databases. Because of this, detecting SQL injection attacks is the first and most important thing to do to combat SQL Injection attacks. The basis for conducting a detection appro…
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- xiv, 67 hlm.; ilus.; tab, 29 cm
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- T1564932024
DETEKSI MALWARE ANDROID DENGAN METODE REVERSE ENGINEERING
Smartphones used by everyone are connected to the internet at all times. A user is unaware of how much data they store and display while using various applications. With the increasing number of Android users over time, Android has become a target for cybercriminals, leading to an increase in malware attacks on these devices. Reverse engineering is the most crucial approach in analyzing malware…
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- xv, 56 hlm.; ilus.; tab, 29 cm
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- T1531492024
DETEKSI TRAFFIC JARINGAN PADA AKTIVITAS JUDI ONLINE MENGGUNAKAN ALGORITMA EXT…
The rapid development of internet technology and the use of encryption in network traffic have led to an increase in online gambling activities that pose a threat to digital security. This study aims to detect network traffic indicative of online gambling by analyzing Server Name Indication (SNI) information during the TLS handshake process using the Extreme Gradient Boosting (XGBoost) algorith…
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- xv, 93 hlm.; ilus.; tab, 29 cm
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- T1878122025
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