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…

KLASIFIKASI MULTI-CATEGORY SPORTS IMAGE MENGGUNAKAN SWIN TRANSFORMERS

Edition

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Collation

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

Series Title

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Call Number

T1840272025

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…

RULE BASE DENGAN UJI STATISTIK T-STUDENT UNTUK KETUNTASAN BELAJAR DAN HIERARC…

Assessment of learning completion is a crucial aspect in education, but conventional methods are often inaccurate and rigid, especially in accommodating variations in student abilities. This study aims to develop a more accurate and adaptive assessment system by combining the rule method based on the t-student statistical test to determine the threshold of incompleteness in learning mathematics…

PERBANDINGAN KEPADATAN KENDARAAN MENGGUNAKAN ALGORITMA DECISION TREE DAN RAND…

This research predicts traffic density based on CCTV footage of Palembang city traffic. It uses the YOLOv9 model to detect cars and motorcycles, achieving a training performance with an mAP 0.5 of 84.4%. Furthermore, it compares traffic density using the Decision Tree and Random Forest algorithms on Monday, Wednesday, Friday, and Saturday during the morning, afternoon, and evening. The evaluati…

PERBANDINGAN ALGORITMA GENETIK TERHADAP PARTICLE SWARM OPTIMIZATION DALAM MEN…

This research focuses on identifying the optimal route by analyzing the results of Genetic Algorithm and Particle Swarm Optimization. This research uses You Only Look Once version 9 (YOLOv9) to create a vehicle detection and counting system using CCTV footage, with the results of Average Precision (mAP) values of 84.4% during training and 83.9% during testing. Furthermore, this study used the D…

STUDI SMART TRANSPORTATION DI KOTA PALEMBANG MENUJU SMART CITY UNTUK PREDIKSI…

Traffic congestion in Palembang City is caused by the number of vehicles exceeding the road capacity. This study discusses the determination of the best route in an intelligent transportation system using the A Star algorithm and Glowworm Swarm Optimization (GSO). The parameters used to compare A Star and GSO algorithms are based on path weight and execution time. YOLOv9 is used to detect and c…

PERBANDINGAN KEPADATAN KENDARAAN MENGGUNAKAN ALGORITMA K-NEAREST NEIGHBORS DA…

This study aims to analyze traffic density in Palembang City by utilizing YOLOv9 for vehicle detection from CCTV recordings and employing K-Nearest Neighbors (KNN) and Long Short-Term Memory (LSTM) to assess density based on the detected vehicle count. The results indicate that YOLOv9 with 100 epochs achieved the best performance, with a mean Average Precision (mAP) of 0.844 for training, 0.843…

PERANCANGAN INTRUSION PREVENTION SYSTEM MENGGUNAKAN SIGNATURE BASED DAN IP FI…

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Collation

xv, 62 hlm.: ilus., tab.; 29 cm

Series Title

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Call Number

T1726252025

IMPLEMENTASI MULTI-LABEL TEXT CLASSIFICATION MENGGUNAKAN INDOBERT UNTUK KLASI…

This research is motivated by the rapid growth of the Indonesian film industry and the increasing need for an accurate film genre classification system to help viewers understand film content more precisely. Synopsis is often the main reference in identifying film genres, but the complexity and diversity of languages make the classification process a challenge. To answer this challenge, this st…

ANALISIS SENTIMEN TERHADAP KEMACETAN LALU LINTAS MENGGUNAKAN ALGORITMA LSTM B…

This research aims to analyze public sentiment towards traffic congestion in Palembang City using the Long Short Term Memory (LSTM) algorithm and then video recording using YOLOv8 followed by LSTM. The method used includes data collection from social media platforms and videos about traffic jams, followed by analysis using object detection and sentiment classification techniques. calculation of…

ANALISIS SENTIMEN TERHADAP KEMACETAN LALU LINTAS MENGGUNAKAN ALGORITMA RANDOM…

This research aims to analyze public sentiment towards traffic congestion in Palembang City using Random Forest algorithm then video recording using YOLOv8 followed by Random Forest. The method used includes data collection from Social Media platforms and videos about traffic jams, followed by analysis using object detection techniques and sentiment classification. Calculation of video recordin…

APLIKASI PENERIMAAN KAS DI PT ABC

Cash is a valuable means of exchange owned by an institution or company and is ready to be used for transaction needs for the institution or company. Cash as an asset or the value of liquid wealth (easily disbursed) can be used directly for the Company's operational purposes. Cash can be the money in hand or bank statement balances. In this modern era, cash flow is greatly influenced by digital…

PERBANDINGAN ANALISIS SENTIMEN KOMENTAR MEDIA SOSIAL DAN DATA ETLE DALAM KLAS…

Traffic management in major cities like Palembang faces congestion challenges, especially on main roads. The implementation of ETLE provides real-time data on traffic conditions, including vehicle counts, to assist in traffic flow management. Meanwhile, social media serves as an alternative source of information through user reports on congestion and accidents. This study aims to compare data f…

INTEGRASI INTRUSION DETECTION SYSTEM (IDS) TERDISTRIBUSI DENGAN MENGGUNAKAN F…

Intrusion Detection System (IDS) is a tool designed to detect suspicious activities or security threats within a computer network. This study focuses on developing a distributed IDS framework using Multisource Data Fusion to enhance the detection of ICMP, SSH, and Ping of Death attacks. The framework integrates logs and alerts from multiple IDS machines, with Snort as the primary tool. The resu…

DETEKSI SERANGAN DDOS PADA JARINGAN SMART HOME IPV6 MENGGUNAKAN METODE RANDOM…

DDoS attacks are one of the most common network security threats on the internet. This attack utilizes various sources to send excessive traffic to a server, resulting in system disruption. This makes DDoS a serious threat to IPv6-based topologies and infrastructure. This study uses a dataset from COMNETS Smart Home IPv6, which consists of two types of classes, namely benign and DDoS, to detect…

ANALISIS SENTIMEN TERHADAP KEMACETAN LALU LINTAS MENGGUNAKAN ALGORITMA K-NEAR…

This research aims to analyze public sentiment towards traffic jams in Palembang City using the K-Nearest Neighbors (KNN) algorithm and then video recordings using YOLOv8 followed by KNN. The method used includes data collection from social media platforms and videos about traffic jams, followed by analysis using object detection and sentiment classification techniques. calculation of video rec…

ANALISA KEAMANAN PROTOKOL HTTPS DALAM PENGIRIMAN DATA SUPPLY CHAIN MANAGEMENT…

Network security is very important in the increasingly modern era like today, where almost every human activity today requires this, especially the implementation of Warehouse Management Systems which have a lot of sensitive and important data. Therefore, the HTTPS protocol was created as a medium that bridges the process of exchanging information that has good security. However, every security…

OPTIMALISASI KLASIFIKASI MULTICLASS SERANGAN SIBER DENGAN ALGORITMA PROXIMAL …

The Proximal Policy Optimization (PPO) and Advantage Actor-Critic (A2C) methods have proven effective in detecting, evaluating, and performing multi-class classification of cyberattacks. This study implements both algorithms within a Reinforcement Learning framework to classify types of attacks based on network traffic features. The datasets used for testing include CIC-IDS2018, CIC-IDS2017, IS…

DETEKSI SERANGAN MIRAI DENGAN MENGGUNAKAN METODE LONG SHORT-TERM MEMORY (LSTM…

Perkembangan jaringan Internet of Things (IoT) telah membawa dampak signifikan pada berbagai sektor, termasuk transportasi dan pelayanan kesehatan. Namun, lonjakan adopsi IoT juga memunculkan tantangan keamanan, terutama ancaman serangan siber seperti Mirai, yang menyerang perangkat IoT melalui Distributed Denial of Service (DDoS). Berbagai metode telah dikembangkan untuk mendeteksi serangan in…

KLASIFIKASI PDF MALWARE PADA GARBA RUJUKAN DIGITAL (GARUDA) KEMDIKBUD DIKTI M…

Garba Rujukan Digital (GARUDA) is a source of information covering various fields including science, behavioral psychology, moral science, math, and computers, as well as other scientific publications managed by the Ministry of Education and Culture and Higher Education. Malware problems are more dangerous for government institutions and organizations than for private users. Various intentions …

APLIKASI STOK PRODUK DAN BAHAN BAKU UNTUK MENDUKUNG PROSES PRODUKSI KECAP PAD…

Pabrik Kecap Cap Teratai merupakan industri kecil menengah yang berlokasi di Palembang. Permasalahan yang dihadapi adalah pengelolaan stok bahan baku dan produk masih dilakukan secara manual sehingga rentan terhadap kesalahan pencatatan, keterlambatan informasi, dan risiko overstock maupun stock-out yang menghambat proses produksi. Penelitian ini bertujuan menganalisis sistem yang berjalan sert…

PEMANFAATAN KECERDASAN BUATAN GENERATIF UNTUK LESI PRA-KANKER SERVIKS DALAM M…

Data scarcity and class imbalance remain significant challenges in developing deep learning models for medical image classification, including the classification of Cervical Intraepithelial Neoplasia (CIN). Limited data availability and imbalanced class distribution, particularly in minority classes such as CIN 2 and CIN 3, may affect the stability, generalization capability, and performance of…

Data Warehouse

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ISBN/ISSN

978-623-713-154-0

Collation

xiii, 291 hlm.; 24 cm

Series Title

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Call Number

004.65 Mun d

JavaScript

Edition

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ISBN/ISSN

978-602-8758-31-4

Collation

xviii., 550 hlm.; ill.; tab.; 23 cm

Series Title

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Call Number

005.262 Sid j

MENINGKATKAN KEWASPADAAN NASIONAL TERHADAP PROXY WAR

Edition

1

ISBN/ISSN

978-602-425-018-8

Collation

xii, 116 hlm. : ilus. ; 21 cm

Series Title

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Call Number

364.168 Wan m

PERAMALAN HARGA MINYAK MENTAH DI PASAR GLOBAL BERBASIS MODEL LONG SHORT TERM …

Crude oil price forecasting plays an important role in supporting economic decision-making, as oil price fluctuations directly affect global stability. This study employs a Long Short-Term Memory (LSTM) model to predict West Texas Intermediate (WTI) crude oil prices, with a focus on the influence of the hyperparameters lookback and the number of epochs on model performance. The findings indicat…

PERANCANGAN SISTEM CERDAS DETEKSI DAN PERINGATAN KELELAHAN BERBASIS SENSOR MA…

Fatigue is a physiological condition that has a high potential and can cause accidents in the workplace and in traffic internationally. This study aims to design and create a smart system that can detect fatigue using the MAX30102 sensor connected to the Internet of Things (IoT) platform. This system utilizes an ESP32 microcontroller that measures physiological parameters such as heart rate (BP…

SISTEM INFORMASI PEMESANAN BERBASIS CUSTOM PADA USAHA JASA PEMBUATAN FURNITUR…

Perkembangan teknologi informasi mendorong usaha untuk meningkatkan pelayanan dan pengelolaan data secara lebih efektif. Usaha Furnitur Aluminium Sahabat Alfino masih memproses pesanan secara manual menggunakan catatan dan pesan singkat, sehingga mengakibatkan manajemen data pesanan yang kurang terstruktur dan kesulitan dalam memantau status pesanan. Penelitian ini bertujuan untuk merancang dan…

ANALISIS GAME ENGAGEMENT EXPERIENCE DISGASTER MENGGUNAKAN KUESIONER GAME USER…

The success of a game no longer depends solely on its technical functionality, but also on its ability to establish player engagement. This study aims to develop Disgaster 2 as a gas leak disaster simulation game, as well as to measure the game engagement experience using the GUESS-18. The game was developed using the Unity 2022 game engine with the GDLC methodology. Testing was conducted throu…