ANALISIS PERBANDINGAN ALGORITMA MACHINE LEARNING UNTUK KLASIFIKASI TINGKAT KE…

Traffic accidents are a serious public safety issue that requires data-driven analytical approaches. This study aims to classify traffic accident severity into three classes, namely fatal, serious, and slight, using machine learning algorithms. Four algorithms are evaluated: Random Forest, Light Gradient Boosting Machine (LightGBM), Support Vector Machine (SVM), and K-Nearest Neighbors (KNN). M…

INTRUSION RESPONSE SYSTEM SERANGAN SIBER MAN-IN-THE-MIDDLE DENGAN METODE RAND…

The rapid adoption of Cyber-Physical Systems (CPS) has improved operational efficiency across critical sectors but has simultaneously increased exposure to cyber threats, particularly Man-in-the-Middle (MITM) attacks that covertly intercept and manipulate communication. In CPS environments, such attacks pose serious risks to system reliability and operational safety, thereby requiring security …

ANALISA LOAD BALANCING PADA CLOUD COMPUTING MENGGUNAKAN METODE LEAST CONNECTION

Cloud computing provides dynamic computing resources over a network. However, an increasing number of user requests can lead to higher server workloads and decreased service performance. This study aims to analyze the performance of load balancing using the Least Connection method with HAProxy as the load balancer. The system was implemented in a VMware-based virtual machine environment consist…

PENGEMBANGAN MODEL CHATBOT GENERATIVE AI KESEHATAN MENTAL MAHASISWA DALAM MEN…

Student mental health in academic settings is a critical factor in determining the success of higher education. Various studies have demonstrated the high prevalence of mental disorders, such as anxiety and depression, which reach 41% and 33.6% globally, respectively. The extremely low ratio of professional psychologists, especially in Indonesia, creates a significant service gap, requiring ada…

KLASIFIKASI DAN DETEKSI KEMIRIPAN ARTIKEL BERBAHASA INDONESIA DI JURNAL BERKA…

The classification of articles into several categories has been done using the Naive Bayes method, with an F1-score result of 98% on balanced data based on titles and abstracts. The results show a high level of classification accuracy, with a processing time of less than 60 minutes. Similarity detection between articles was carried out using the Cosine Similarity method, and a similarity score …

PENDEKATAN MODEL MACHINE LEARNING DALAM DETEKSI ANCAMAN SERANGAN SIBER DI SEC…

The evolution of technology roles attracted cyber security threats not only compromise stable technology but also cause significant financial loss for organizations and individuals. As a result, organizations must create and implement a comprehensive cybersecurity strategy to minimize further loss. The founding of a cybersecurity surveillance center is one of the optimal adopted strategies, kno…

EXPLAINABLE AI (XAI) UNTUK DETEKSI PNEUMONIA DARI CITRA X-RAY MENGGUNAKAN GRA…

Pneumonia remains a leading cause of mortality among toddlers globally, necessitating rapid and accurate early detection methods. While Convolutional Neural Networks (CNN) have proven reliable in medical image classification, their "black-box" nature often hinders clinical adoption due to a lack of transparency. This study aims to bridge this gap through an Explainable AI (XAI) approach using G…

SISTEM REKOMENDASI SELEKSI PENERIMA MAKANAN TAMBAHAN UNTUK PENCEGAHAN STUNTIN…

Stunting remains a significant health problem in Indonesia, particularly among toddlers. The government has attempted to prevent stunting through various programs, one of which is the Supplementary Feeding Program (PMT) for toddlers. However, in practice, the distribution of PMT assistance is often not well-targeted due to the lack of an adequate support system. This study aims to develop a Dec…

TINDAK PIDANA MAYANTARA: PERKEMBANGAN KAJIAN CYBER CRIME DI INDONESIA

Cyber Crime merupakan salah satu bentuk atau dimensi baru kejahatan masa kini yang mendapat perhatian luas dunia internasional. Teknologi yang berkembang pesat ini ternyata memiliki dampak negatif yang sanagt luas bagi seluruh bidang kehidupan modern saat ini. Walaupun berbagai kongres dan konvensi internasional yang telah didahului dengan berbagai pertemuan dan kajian ilmiah mengenai cyber cri…

MODEL PENANGGULANGAN CYBER CRIME MELALUI IMPLEMENTASI KEBIJAKAN PATROLI SIBER…

Penelitian ini bertujuan untuk merekomendasikan model Penanggulangan Cyber crime melalui Implementasi Kebijakan Patroli Siber Terpadu di Provinsi Sumatera Selatan yang ideal. Struktur teori yang digunakan terdiri atas Model of The Policy Implementation dari Van Meter & Van Horn (1975a) yang disandingkan pula dengan pemetaan para stakeholder. Metode penelitian menggunakan jenis penelitian kualit…

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…