PENDEKATAN NAMED ENTITY RECOGNITION PADA ADVANCED PERSISTENT THREAT DI CYBER …

Advanced Persistent Threat (APT) generates Cyber Threat Intelligence (CTI) reports in the form of unstructured text that is difficult to analyze efficiently. This study aims to extract structured information from CTI reports using the Named Entity Recognition (NER) approach with the Bidirectional Long Short-Term Memory–Conditional Random Field (BiLSTM-CRF) model. The dataset used is CyberNER …

PENDEKATAN NAMED ENTITY RECOGNITION PADA ADVANCED PERSISTENT THREAT DI CYBER …

Advanced Persistent Threat (APT) reports in Cyber Threat Intelligence (CTI) are generally presented in unstructured text, making them difficult to analyze manually and requiring automated methods to extract important entities. This study aims to analyze the performance of Named Entity Recognition (NER) using a Bidirectional Long Short-Term Memory (BiLSTM) model by comparing the BIO and BILOU ta…

EFEKTIVITAS PUPUK ORGANIK BRIKET DAN EKSTRAK METHANOL PESTISIDA NABATI BERBAH…

Layanan video streaming 3D membutuhkan infrastruktur jaringan yang mampu mendukung transmisi data berukuran besar secara stabil dan efisien. Content Delivery Network (CDN) berfungsi untuk meningkatkan kinerja distribusi konten dengan mendekatkan server ke pengguna akhir. Penelitian ini menganalisis kinerja CDN Cloudflare terhadap parameter Quality of Service (QoS) dan Quality of Experience (QoE…

ANALISIS KINERJA CONTENT DELIVERY NETWORK (CDN) CLOUDFLARE TERHADAP PARAMETER…

Layanan video streaming 3D membutuhkan infrastruktur jaringan yang mampu mendukung transmisi data berukuran besar secara stabil dan efisien. Content Delivery Network (CDN) berfungsi untuk meningkatkan kinerja distribusi konten dengan mendekatkan server ke pengguna akhir. Penelitian ini menganalisis kinerja CDN Cloudflare terhadap parameter Quality of Service (QoS) dan Quality of Experience (QoE…

PERANCANGAN DAN IMPLEMENTASI APLIKASI PRESENSI SISWA MENGGUNAKAN BARCODE DI S…

Student attendance is an important activity in supporting school administration and monitoring student presence. SMP Negeri 30 Palembang still uses a manual attendance system that is less effective. The recording and recapitulation processes take time and are prone to errors This study aims to design and implement a web-based student attendance application, The system uses barcode technology to…

KLASIFIKASI PENYAKIT KANKER KULIT BERDASARKAN CITRA DERMOSKOPIS MENGGUNAKAN V…

Skin cancer is one of the most common types of cancer and requires early detection to increase the chances of successful treatment. This study aims to classify skin cancer diseases based on dermoscopic images using the Vision Transformer Base (ViT-Base) method. The research process begins with a data preparation stage, including data collection and splitting into training, validation, and testi…

PENERAPAN HYBRID CNN DAN VISION TRANSFORMER UNTUK KLASIFIKASI PENYAKIT MATA P…

Retinal diseases require early detection to improve the effectiveness of medical treatment. This study aims to classify retinal diseases based on fundus images using a hybrid architecture of CNN and Transformer Encoder based on Vision Transformer. The research stages include preparing and dividing the dataset into training, validation, and test data, as well as preprocessing in the form of resi…

PREDIKSI KEPADATAN LALU LINTAS BERDASARKAN DATA ELECTRONIC TRAFFIC LAW ENFORC…

Traffic density is a complex issue in Palembang City that impacts time efficiency, fuel consumption, and environmental quality. This study aims to predict traffic density using Electronic Traffic Law Enforcement (ETLE) data as an objective source and Instagram social media data as a representation of public perception, applying the Random Forest method with an eliminating skewed distribution te…

MODEL TRANSFORMER BERBASIS DEEP LEARNING UNTUK SEGMENTASI CITRA JANTUNG JANIN

Masalah: Identifikasi batas jantung dan rongga dada pada citra USG jantung janin masih dilakukan secara manual sehingga berpotensi menimbulkan variabilitas hasil. Selain itu, karakteristik citra USG seperti speckle noise, kontras yang rendah, serta dominasi intensitas abu-abu membuat proses segmentasi struktur anatomi menjadi lebih menantang. Tujuan: Penelitian ini bertujuan mengimplementasikan…

PEMBUKUAN BENDAHARA PENGELUARAN BERBASIS KOMPUTER ( Satuan Kerja Pemerintah P…

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KLASIFIKASI JENIS KASUS DI KEJAKSAAN NEGERI CILEGON MENGGUNAKAN METODE SUPPOR…

The development of text processing technology allows for automated data classification using machine learning methods. In the case classification process, manual text grouping is often time-consuming and error-prone. This study aims to build a text classification system capable of automatically grouping case descriptions into specific categories. The methods used in this study are Support Vecto…

SISTEM SINGLE SIGN-ON BERBASIS OAUTH 2.0 DAN ROLE-BASED ACCESS CONTROL PADA F…

Information systems in the Faculty of Computer Science, Sriwijaya University generally have separate authentication and user management mechanisms in each application. This condition causes repeated login processes, decentralized role management, and less efficient application integration. This research aims to develop a role-based Single Sign-On (SSO) system as a centralized authentication and…

IMPLEMENTASI DASHBOARD SISTEM PEMANTAUAN MULTI-PARAMETER KUALITAS UDARA (CO, …

Air quality is one of the environmental issues that affects human health and ecosystems, making it necessary to have an air quality monitoring system that can provide accurate and consistent information. This study aims to implement a multi-parameter air quality monitoring system dashboard that covers carbon monoxide (CO), ammonia (NH3), ultraviolet (UV) radiation, temperature, and humidity par…

IMPLEMENTASI SISTEM MONITORING KARBON MONOKSIDA (CO) DAN INTENSITAS SINAR ULT…

This study aims to implement a system for monitoring carbon monoxide (CO), ultraviolet (UV) intensity, and air quality parameters—specifically temperature and humidity—in outdoor environments using an ESP32 microcontroller. The system employs MQ-7, GY-ML8511, and BME680 sensors to collect real-time environmental data. Test results show that the MQ-7 sensor is capable of detecting carbon mon…

INTEGRASI SENSOR PM2,5 DAN INDIKATOR VISUAL LED PADA SISTEM MONITORING KUALIT…

Air quality is an important factor that affects human health and comfort; therefore, a monitoring system capable of operating continuously is required. This study developed an Internet of Things (IoT)-based air quality monitoring device using the ESP32 as the main controller. Measurements were carried out using the Sharp GP2Y1010AU0F sensor to detect PM2,5 particles, the MQ-135 sensor to monito…

IMPLEMENTASI SISTEM MONITORING KADAR AMONIA (NH₃), INTENSITAS ULTRAVIOLET S…

Outdoor environmental quality is influenced by several key parameters, such as ammonia (NH₃) levels, ultraviolet (UV) radiation intensity, temperature, and humidity. This study aims to implement an Internet of Things (IoT)-based outdoor environmental monitoring system using an ESP32 microcontroller with MQ-135, GY-ML8511, and BME680 sensors. Sensor readings are processed by the ESP32 and tran…

IMPLEMENTASI PENILAIAN KONDISI PASIEN BERBASIS IoMT DENGAN LOGIKA FUZZY SUGENO

Real-time health condition monitoring is an important requirement in supporting more effective and efficient healthcare services. The development of the Internet of Medical Things (IoMT) enables medical devices to be connected to the internet, allowing health data to be monitored remotely. This study aims to design and implement an IoMT-based patient health monitoring system using the MAX30102 …

ANALISIS KOMPARATIF ROBUSTNESS ALGORITMA ENSEMBLE LEARNING TERHADAP PERGESERA…

Data distribution changes over time have become one of the main challenges in the application of machine learning to intelligent transportation systems. This phenomenon, known as concept drift, can lead to performance degradation when the testing data exhibit characteristics that differ from those of the training data. This study aims to analyze the robustness of machine learning algorithms aga…

Dasar Pemrograman WEB Dinamis menggunakan PHP

Edition

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ISBN/ISSN

978-979-29-0471-0

Collation

x, 614 hlm.; Ilus.; 23 cm.

Series Title

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Call Number

005.365 Kad d

Implementasi Teknologi Barcode dalam Dunia Bisnis dilengkapi pembuatan aplika…

Edition

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ISBN/ISSN

978-979-29-1527-3

Collation

x, 166 hlm.; Ilus.; 23 cm.

Series Title

-

Call Number

004.64 Mal i

Pemrograman web dinamis menggunakan PHP dan MySQL

Edition

-

ISBN/ISSN

978-979-29-2759-7

Collation

xii, 452 hlm.; 23 cm

Series Title

-

Call Number

005.365 Ari p

OPTIMASI KERNEL CUDA BERBASIS MEMORY-AWARE UNTUK SELF-ATTENTION PADA INFERENS…

The self-attention mechanism in Large Language Models (LLMs) is computationally intensive and memory-bound, posing significant challenges for inference on consumer-grade hardware. This research proposes a memory-aware optimization of CUDA kernels for the self-attention mechanism within the GPT-2 architecture, integrating Shared Memory Tiling, Streaming Softmax, and Kernel Fusion to minimize glo…

DETEKSI EXPLOIT REVERSE HTTPS DENGAN METODE LOGISTIC REGRESSION

Reverse HTTPS attacks conceal malware communication within encrypted traffic. This research detects these threats using the Logistic Regression method on raw data from the Mobile-Trojan Metasploit Traffic. The data flow feature extraction results obtained through the CICFlowMeter tool are crucial for preserving the dataset's overall quality. Modeling was conducted without resampling techniques …

PENGENALAN POLA SERANGAN MAN-IN-THE MIDDLE MENGGUNAKAN METODE DEEP NEURAL NET…

Integrasi Industrial Internet of Things (IIoT) dalam sistem gardu listrik telah meningkatkan efisiensi operasional tetapi juga meningkatkan kerentanan terhadap ancaman siber, khususnya serangan Man-in-the-Middle (MITM) di mana informasi diubah dan stabilitas jaringan terpengaruh. Tulisan ini menyajikan struktur Deep Neural Network (DNN) yang didedikasikan untuk mengidentifikasi serangan Man-in-…

EKSTRAKSI INDICATOR OF COMPROMISE MENGGUNAKAN BILSTM-CRF DENGAN EMBEDDING FAS…

Indicator of Compromise (IoC) merupakan artefak digital penting dalam Cyber Threat Intelligence (CTI), seperti IP address, domain, URL, hash file, dan nama malware, yang digunakan untuk membantu identifikasi aktivitas berbahaya. Ekstraksi IoC dari teks CTI masih menjadi tantangan karena data umumnya bersifat semi-terstruktur serta mengandung variasi istilah teknis yang kompleks. Penelitian ini …

PENERAPAN DEEP LEARNING UNTUK PREDIKSI HARGA BITCOIN: STUDI KOMPARATIF LSTM, …

The rapid growth of social media has enabled the misuse of comment sections as a medium for promoting online gambling. The high volume of comments makes manual moderation ineffective, thus requiring an automated classification system. This study aims to develop a classification system for online gambling comments using the IndoBERT model and to evaluate its performance based on accuracy, precis…

RANCANG BANGUN SISTEM KLASIFIKASI SAMPAH LOGAM MEDIS BERBASIS ESP32-CAM DENGA…

Medical metal waste such as syringes and scalpels are Hazardous and Toxic Waste (B3) which has the potential to cause injury, infection, and environmental pollution if not managed properly. This study aims to design and build a medical metal waste classification system based on ESP32-CAM with integrated inductive metal sensors to assist the automatic waste sorting process. The research method u…

RANCANG BANGUN DASHBOARD KUALITAS UDARA MENGGUNAKAN MULTISENSOR BERBASIS LARA…

Air quality is an important environmental element that needs to be continuously monitored, especially in urban areas. Air quality data collected from sensors is often not displayed in a website format that is easily accessible and understandable by users. This research aims to design and develop a website-based air quality dashboard using the Laravel framework. Data is obtained from various air…

ANALISIS KINERJA CDN CLOUDFLARE TERHADAP PARAMETER QUALITY OF SERVICE DAN QUA…

3D video streaming services require a network infrastructure capable of supporting large-scale data transmission in a stable and efficient manner. A Content Delivery Network (CDN) plays an important role in improving content distribution performance by bringing servers closer to end users. This study aims to analyze the performance of the Cloudflare CDN in terms of Quality of Service (QoS) and …

PENGEMBANGAN APLIKASI PENGAJUAN KERJA PRAKTIK BERBASIS WEB PADA PROGRAM STUDI…

The internship application process at the Management Informatics Study Program of Sriwijaya University still uses Google Form with document management that is not yet integrated, causing the administration and monitoring process to become less effective. This study aims to develop a web-based Internship Application Information System (SIKP) that can support the internship submission, verificati…