APLIKASI PENGOLAHAN DATA PENYEWAAN BARANG BERBASIS WEBSITE PADA CV.BATAS SOUN…

Abstract Aplikasi pengelohan sound system berbasis online Di Cv.btas sound system Oleh Al ghozi pranata 09020582025073 This research is motivated by the sound system equipment rental business process at CV Batas Sound System, which is still carried out manually. This manual process tends to be time-consuming, prone to recording errors, and makes it difficult for business owners to manage invent…

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…

STRATEGI MAHASISWA DALAM MENJAGA KEAMANAN DIGITAL: STUDI PADA MAHASISWA PENGE…

The use of social media by student organizations positions public accounts not only as information channels, but also as spaces for identity representation and vulnerable points of digital security disruption. This study examines how student administrators of public organizational accounts at Sriwijaya University design and implements digital security strategies using a descriptive qualitative …

PEMETAAN TIPE KEPRIBADIAN HOLLAND (RIASEC) MELALUI KLASIFIKASI MULTI-TASK FIT…

Graphology-based personality analysis has emerged as a growing approach in psychometrics and artificial intelligence for identifying individual characteristics through handwriting, while conventional personality assessment methods remain largely dependent on subjective self-assessment questionnaires. This study proposes a mapping of Holland’s personality types (RIASEC) through the classificat…

ANALISIS POLA KECELAKAAN LALU LINTAS KENDARAAN BERMOTOR DI KOTA PALEMBANG TAH…

Penelitian ini bertujuan untuk menganalisis pola kecelakaan lalu lintas di Kota Palembang menggunakan pendekatan machine learning berbasis clustering. Data sekunder diperoleh dari catatan resmi Kepolisian Kota Palembang mencakup periode 2021–2024 dengan total 2.658 data dan 35 variabel awal. Setelah melalui proses prapemrosesan, dilakukan pembersihan data, penghapusan variabel yang tidak rele…

ANALISIS LOKASI RAWAN KRIMINALITAS PENCURIAN MOTOR PADA TAHUN 2021-2024 DI KA…

Penelitian ini bertujuan mengidentifikasi pola tingkat kerawanan kriminalitas pencurian kendaraan bermotor (curanmor) di Kabupaten Musi Banyuasin menggunakan pendekatan unsupervised learning. Empat algoritma clustering ini, yaitu K-Means, DBSCAN, Hierarchical Clustering, dan Gaussian Mixture Model digunakan untuk mengelompokkan data kejadian kriminal berdasarkan variabel jenis kendaraan, jumlah…

Dasar Pemrograman WEB Dinamis menggunakan PHP

Edition

-

ISBN/ISSN

978-979-29-0471-0

Collation

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

Series Title

-

Call Number

005.365 Kad D

Implementasi Teknologi Barcode dalam Dunia Bisnis dilengkapi pembuatan aplika…

Edition

-

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

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…

DETEKSI SERANGAN DOS PADA JARINGAN SMART HOME IPV6 MENGGUNAKAN METODE LOGISTI…

Denial of Service (DoS) attacks pose a serious threat to IPv6-based smart home networks, causing disruptions in device connectivity and significantly reducing system performance. This study aims to detect DoS attacks in IPv6 smart home networks using the Logistic Regression machine learning algorithm. The dataset was generated from network traffic captured using the THC-IPv6 tool, followed by f…

SUPPLY CHAIN ASSET TRACKING MENGGUNAKAN ALGORITMA POS (PROOF OF STAKE) DENGAN…

Supply Chain Management involves several parties who play a role in the process of delivering goods or services so it requires transparency regarding transaction records for all parties involved with the aim of avoiding falsification of transaction data. To overcome this problem, this research aims to build a security system using the Proof-of-Stake (poS) method. A collection of blocks containi…

DETEKSI ANCAMAN SSL PINNING BYPASS DAN DDOS MENGGUNAKAN NAIVE BAYES PADA KEAM…

The development of smart home technology provides convenience for users in managing household devices automatically and through internet connectivity; however, it also raises potential security threats, such as SSL Pinning Bypass, which allows attackers to intercept communications, and Distributed Denial of Service (DDoS) attacks, which can disrupt service availability. To address these issues,…

VISUALISASI DATA CO₂, SUHU DAN KELEMBAPAN PADA ALAT AIR QUALITY DETECTION (…

Monitoring outdoor air quality requires clear data visualization to enable rapid understanding of environmental conditions. This study develops an air quality visualization system using Streamlit based on CO₂, temperature, and humidity data obtained from the Air Quality Detection device. The data undergo preprocessing, quality classification, and analysis of trends and parameter correlations.…

SISTEM DETEKSI SERANGAN INSIDER PADA GERAKAN LATERAL SSH MENGGUNAKAN METODE R…

Insider threat is one of the most challenging security threats to detect because the attacker possesses legitimate access rights to the system. This research aims to analyze an insider attack scenario that exploits legal access through the Secure Shell (SSH) service in the process of data acquisition and privilege escalation on a Linux system. The research method involves simulating insider act…

KLASIFIKASI AKTIVITAS BOT MAXIMAL EXTRACTABLE VALUE (MEV) PADA TRANSAKSI BLOC…

Maximal Extractable Value (MEV) bot activity on blockchain networks poses a significant challenge, as MEV bots exploit transaction-processing mechanisms to gain profit in ways that may hinder fairness, increase gas fees, and disrupt network stability. This study employs the Extreme Gradient Boosting (XGBoost) model to classify MEV bot activity in Ethereum blockchain transactions using numerical…

DETEKSI SERANGAN DDOS DAN MITM PADA SISTEM SMART HOME MENGGUNAKAN METODE LIGH…

This study aims to detect and classify Distributed Denial of Service (DDoS) and Man-in-the-Middle (MiTM) attacks in smart home networks using the Light Gradient Boosting Machine (LightGBM) algorithm. With the rapid growth of Internet of Things (IoT) devices, cybersecurity challenges have become crucial due to vulnerabilities in smart home devices. This research utilizes the COMNETS SMARTHOME da…

PENGARUH PENGGUNAAN MEDIA PEMBELAJARAN BERBASIS WEBSITE QUIZWHIZZER TERHADAP …

This study examines the effect of Quizwhizzer, a web-based interactive learning platform, on students’ learning motivation in the Economics subject at SMA Negeri 12 Palembang. The research employed a quantitative approach with a pre-experimental one-group pre-test post-test design and involved 33 eleventh-grade students (class XI.4) as participants. The increase in learning motivation was evi…

IMPLEMENTASI ALGORITMA RANDOM FOREST UNTUK MENDETEKSI SERANGAN SSL PINNING BY…

The advancement of Internet of Things (IoT) technology has brought significant changes to everyday life, especially through the adoption of smart home devices. The use of smart homes is growing rapidly because it can help make housework easier. However, the increasing use of these devices also increases cyber threats. Some dangerous threats are SSL Pinning Bypass and MITM. In this study, we wil…

KEMAMPUAN BERPIKIR TINGKAT TINGGI SISWA MELALUI PBL BERBANTUAN DIGITAL WORKSH…

This studyaims to describe the Higher Order Thinking Skill of high school students in trigonometry through the Problem BasedLearning (PBL) learning model assisted by Digital Worksheet, namely Liveworksheet.This type of research uses a descriptive research method. The subjectsof the study consisted of 37 tenth grade students. Data collection techniqueswere carried out through tests and interview…

SISTEM DETEKSI API DAN OBJEK BERBASIS METODE HSV DAN YOLOV3 DENGAN PENYIMPANA…

Fire is a serious threat that can cause significant material and human losses. Early detection of fire and identification of surrounding objects is crucial to minimize risk. In this final project, a real-time fire and object detection system was developed using HSV-based image processing to identify the typical colors of fire, and the YOLOv3 algorithm to detect various objects such as humans an…

PERBANDINGAN METODE RANDOM FOREST DAN SUPPORT VECTOR MACHINE PADA ANALISIS SE…

This research aims to compare the performance of the Random Forest and Support Vector Machine methods in analyzing Facebook data sentiment related to traffic congestion in Palembang City. Data was obtained through a web scraping process and labeled using a lexicon-based approach into three sentiment classes, namely positive, negative, and neutral. Feature representation was performed using the …

ANALISIS SENTIMEN MEDIA SOSIAL FACEBOOK TERHADAP KEMACETAN LALU LINTAS DI KOT…

This study aims to analyze public sentiment toward traffic congestion in Palembang City based on Facebook social media comments using the Naïve Bayes algorithm. Data were collected through web scraping of Facebook comments related to traffic conditions in Palembang and labeled using a lexicon-based approach into three sentiment classes: positive, negative, and neutral. The dataset consists of …

IMAGE CAPTIONING UNTUK GENERASI PRA-DIAGNOSIS RADIOLOGI MENGGUNAKAN ARSITEKTU…

General vision-language models often face domain shift issues when applied to medical imaging. This study compares the performance of a general model (BLIP) against a medically pre-trained model (MedBLIP) for Chest X-ray reporting using the IU X-Ray dataset. Through quantitative metrics and expert pulmonologist validation, MedBLIP consistently outperformed BLIP, achieving a BLEU-4 of 0.0789, RO…

IMPLEMENTASI TEKNOLOGI IOT UNTUK PENGELOLAAN PENYIRAMAN TANAMAN TOMAT DENGAN …

Modern agriculture increasingly relies on technology to improve efficiency and productivity, one of which is through the application of the Internet of Things (IoT). This study aims to develop an IoT-based automatic irrigation system for tomato plants with real-time temperature and humidity monitoring. The system is designed using the DS18B20 sensor to measure environmental temperature and humi…

ANALISIS FORENSIK MOBILE TROJAN METASPLOIT DENGAN PENDEKATAN NATIONAL INSTITU…

The increasing number of APKs in mobile technology each year often coincides with the emergence of APKs containing malware. Through the Metasploit framework, threat actors are able to embed payloads into benign APKs. To address this issue, forensic investigation on mobile devices becomes crucial. This research aims to conduct forensic analysis on Android devices infected with Trojan APKs, apply…

PENGEMBANGAN GAME MULTIPLAYER GUNTING BATU KERTAS BERBASIS DETEKSI GERAKAN TA…

In the era of computer vision and machine learning advancement, the integration of gesture recognition technology in interactive gaming continues to evolve. This study aims to develop a multiplayer rock-paper-scissors game based on hand gesture detection using MediaPipe and real-time communication with Socket.IO. The MediaPipe Hands model is utilized to detect and classify hand gestures, while …

IMPLEMENTASI SISTEM KLASIFIKASI HAMA TANAMAN ANGGUR BERBASIS INTERNET OF THIN…

Tanaman anggur merupakan komoditas hortikultura bernilai ekonomi tinggi yang rentan terhadap serangan hama belalang, sehingga diperlukan sistem identifikasi yang cepat dan akurat. Penelitian ini bertujuan untuk mengimplementasikan sistem klasifikasi hama belalang pada tanaman anggur berbasis Internet of Things (IoT) menggunakan metode machine learning. Sistem dikembangkan dengan mengombinasikan…

SISTEM KLASIFIKASI KEMATANGAN BUAH ANGGUR BERBASIS INTERNET OF THINGS (IOT) M…

Kematangan buah anggur merupakan faktor utama dalam menentukan kualitas dan nilai jual buah karena berpengaruh langsung terhadap rasa, tekstur, dan tingkat kesegaran. Penilaian kematangan buah anggur secara manual masih memiliki keterbatasan karena bersifat subjektif dan bergantung pada pengalaman manusia. Penelitian ini bertujuan untuk merancang dan menganalisis sistem klasifikasi kematangan b…

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 …