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…

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 …

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…

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…

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…

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,…

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…

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…

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…

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…

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…

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…

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…

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…

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…

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…

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…

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…

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…

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…

REGRESI MORFOLOGI SINYAL ELEKTROKARDIOGRAM BERBASIS LONG-SHORT TERM MEMORY

Penelitian ini bertujuan untuk mengembangkan model yang dapat melakukan regresi posisi anotasi R-Peak pada beat sinyal. Dataset yang digunakan dalam penelitian ini adalah data dari Lobachevsky University Electrocardiography Database (LUDB) dengan menggunakan lead ii. Model dikembangkan menggunakan arsitektur Long Short-Term Memory (LSTM) yang terdiri dari Masking layer, dua lapisan LSTM masing-…

DETEKSI SERANGAN MALWARE BOTNET MENGGUNAKAN METODE LOGISTIC REGRESSION

Botnets are a serious cyberattack threat that infects computer networks controlled by botmasters to carry out malicious activities. Various types of botnets have emerged over the years, posing a significant threat to cybersecurity. These botnets' malicious activities vary from executing instruction-based attacks such as DDoS attacks, flooding, and spamming. This study used the CICIoT2023 datase…

KLASIFIKASI MULTI-CATEGORY SPORTS IMAGE MENGGUNAKAN SWIN TRANSFORMERS

Edition

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xvi, 76 hlm.; ilus.; tab.; 29 cm.

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T1840272025

ANALISIS DAN PREDIKSI NILAI IMPOR INDONESIA MENGGUNAKAN PENDEKATAN ALGORITMA …

Accurate forecasting of import values is crucial for effective economic planning and policy-making in emerging economies like Indonesia. This study evaluates the performance of three prominent Machine Learning (ML) models—Support Vector Regression (SVR), Random Forest, and Decision Tree—for forecasting Indonesian goods and services imports. Utilising historical macroeconomic time series dat…

IMPLEMENTASI INTRUSION DETECTION SYSTEM MENGGUNAKAN SNORT BERBASIS PARALLEL C…

This research develops an Intrusion Detection System (IDS) based on Snort, optimized using parallel computing with the Message Passing Interface (MPI). The system is built with an architecture consisting of one master and two workers running Snort in parallel to detect ICMP traffic. Detection logs are collected through a shared folder and monitored by the master using a Python script, which als…

PEMETAAN DAERAH RAWAN BANJIR DI KOTA PALEMBANG DENGAN METODE SKORING DAN WEIG…

The increase in population that occurs every year has an impact on the amount of land used for residential development. Land subsidence continues to occur significantly due to population growth in the area which then results in centralized land use in one area. Land subsidence occurs continuously every year, even though the amount or volume of water is relatively constant. This condition will c…

DETEKSI SERANGAN BRUTE FORCE PADA TANGLE NETWORK NODE IOTA HORNET DENGAN METO…

Brute force adalah salah satu metode umum yang paling sering digunakan oleh peretas dalam kejahatan siber. IOTA merupakan pendekakan blockchain sekuensial dengan Directed Acyclic Graph (DAG) berdasarkan Distributed Ledger Technology (DLT) open source yang dirancang khusus untuk industri IoT/IoE. IOTA Hornet node yang terpasang pada cyber-physical system seperti pada server yang merupakan critic…

ANALISA KEPADATAN KENDARAAN MENGGUNAKAN METODE DECISION TREE DAN PENENTUAN JA…

Penelitian ini bertujuan untuk dapat menerapkan algoritma CH dalam menentukan jalur terbaik dan menganalisa penyebab penentuan jalur terbaik berdasarkan kondisi beberapa jalan di Kota Palembang. Penelitian ini menggunakan YOLOv8 untuk perhitungan kendaraan pada rekaman CCTV, DT digunakan untuk memprediksi kondisi jalan, dan algoritma CH untuk penentuan jalur terbaik. Variabel yang digunakan seb…

PENGUKURAN CITRA PANJANG BARIS TEBU PADA LAHAN PERKEBUNAN MENGGUNAKAN METODE …

Penelitian ini berfokus pada pengukuran panjang baris tebu (Saccharum officinarum L.) di lahan perkebunan dengan menggunakan metode Euclidean distance. Tanaman tebu sebagai sumber utama gula dan karbohidrat, memiliki permintaan yang terus meningkat seiring bertambahnya jumlah penduduk. Oleh karena itu, peningkatan produktivitas perkebunan tebu menjadi krusial. Pengukuran panjang baris tebu seca…

VISUALISASI DATA ANALISIS PENCEMARAN UDARA DI WILAYAH DKI JAKARTA

The research aims to visualize and analyze data exploration, as well as analyze patterns of air pollution trends in the DKI Jakarta area before and during the Covid-19 pandemic. The air pollutant parameters that are the object of research are 〖"PM" 〗_"2.5" and 〖"PM" 〗_"10" . The research uses secondary data for the 2015-2022 period obtained from the Air Quality Index China. The research…