PENINGKATAN KINERJA KLASIFIKASI GANGGUAN JANTUNG PADA SINYAL ELEKTROKARDIOGRA…

Electrocardiogram (ECG) signals represent the electrical activity of the heart and are used to record disorders such as arrhythmia and heart failure. Due to their non-stationary nature, ECG signals require a time-frequency domain approach to capture their dynamic characteristics more accurately. This study aims to develop and evaluate machine learning-based heart disorder classification models …

MULTI OBJECT TRACKING PADA CITRA JANTUNG ANAK MENGGUNAKAN DEEP LEARNING

Congenital heart disease (CHD) in children, such as atrial septal defects (ASD), ventricular septal defects (VSD), and atrioventricular septal defects (AVSD), requires accurate diagnosis through dynamic analysis. However, existing methods for analyzing echocardiographic video are often limited to frame-by-frame analysis and are not yet capable of consistently tracking temporal changes. This stu…

KOLABORASI METODE ENTROPI DAN MARCOS DALAM APLIKASI SISTEM PENDUKUNG KEPUTUSA…

The rapid development of digital camera technology has resulted in a wide variety of cameras with diverse specifications. This situation often makes it difficult for novice photographers to determine which camera suits their needs and budget. Therefore, this study aims to build a Decision Support System (DSS) for camera selection for beginners by combining the Entropy and MARCOS methods. The En…

IMAGE CAPTIONING PADA CITRA SERVIKS UNTUK LAPORAN MEDIS BERBASIS MODEL DEEP L…

Image captioning is a task in the fields of computer vision (CV) and natural language processing (NLP) that aims to generate textual descriptions from an image. In this study, various combinations of encoder–decoder architectures were designed and evaluated to improve captioning performance on cervical medical images from the International Agency for Research on Cancer (IARC). The encoders us…

PENGEMBANGAN MODEL SEGMENTASI LESI CITRA PRA-KANKER SERVIKS MENGGUNAKAN YOLO …

Cervical cancer is one of the leading causes of morbidity and mortality among women, making early detection of precancerous lesions essential. However, lesion segmentation in cervical images still faces several challenges, including unclear object boundaries, illumination variations, imaging artifacts, and class imbalance between lesion and background, which reduce the performance of deep learn…

IMPLEMENTASI OBJECT DETECTION BERBASIS YOU ONLY LOOK ONCE UNTUK IDENTIFIKASI …

This study aims to develop a deep learning-based object detection system using the YOLOv11n algorithm to identify foreign objects on coal conveyor belt systems. The study is motivated by the limitations of manual inspection methods in maintaining detection consistency and accuracy within mining environments characterized by high visual complexity, such as dust, uneven illumination, motion blur,…

PENINGKATAN KINERJA SEGMENTASI CITRA PRA-KANKER SERVIKS MELALUI AUGMENTASI DA…

Cervical cancer is a leading cause of death among women. The subjectivity of Visual Inspection with Acetic Acid (VIA) screening encourages the use of Artificial Intelligence (AI) for medical image segmentation automation. However, limited datasets frequently cause model overfitting. This research aims to improve the segmentation performance of cervical precancerous images on the YOLOv11-seg mod…

KOLABORASI METODE MARCOS DAN AHP DALAM APLIKASI SISTEM PENDUKUNG KEPUTUSAN PE…

Pemilihan sepatu atletik yang tepat sangat penting bagi pelari pemula karena berpengaruh terhadap kenyamanan, performa, dan risiko cedera, namun banyaknya pilihan sepatu dengan karakteristik yang berbeda sering menyulitkan proses pengambilan keputusan. Penelitian ini bertujuan untuk membangun Sistem Pendukung Keputusan (SPK) pemilihan sepatu atletik bagi pelari pemula dengan mengombinasikan m…

ANALISIS HYBRID FEATURE ENGINEERING UNTUK PENENTUAN TINGKAT KEPARAHAN LESI PR…

Visual diagnosis via colposcopy is prone to observer subjectivity, making a more objective computational system necessary. This study explores two approaches: hybrid feature engineering (color, texture, contour) using machine learning (ML) via a rule-based system that adapts the Sweden score method, and end-to-end architectures based on YOLO (v8, v11, v12, v26). The dataset is sourced from the …

SISTEM KEARSIPAN DIGITAL SURAT MASUK DAN SURAT KELUAR BERBASIS WEB DINAS PEMU…

The Department of Youth, Sports, and Tourism of Musi Banyuasin Regency still manages incoming and outgoing mail archives manually, resulting in difficulties in document retrieval, the risk of file loss, and slow mail management processes. This study aims to design and develop a web-based Digital Archiving System for Incoming and Outgoing Mail at the Department of Youth, Sports, and Tourism of M…

KLASIFIKASI CITRA PUNCTA LACRIMAL NORMAL DAN ABNORMAL MENGGUNAKAN DEEP LEARNING

This study aims to classify normal and abnormal puncta lacrimal images using deep learning methods and to analyze the impact of data augmentation strategies on model performance. The dataset consisted of 61 images, including 30 normal and 31 abnormal images, which underwent a preprocessing stage by resizing all images to 256 × 256 pixels. Nine deep learning architectures were evaluated, includ…

UNDANG-UNDANG SISDIKNAS (SISTEM PENDIDIKAN NASIONAL) 2003 : UU RI NO.23 TH. 2003

Edition

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ISBN/ISSN

979-3421-40-1

Collation

viii, 155 hlm.; 21 m.

Series Title

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Call Number

379.598 Und u

ANALISIS PENERIMAAN GENERATIVE ARTIFICIAL INTELLIGENCE (AI) PADA PEMASARAN UM…

The advancement of digital technology, particularly Generative Artificial Intelligence (AI), has driven significant transformation in the marketing operations of Micro, Small, and Medium Enterprises (MSMEs). This study aims to analyze the acceptance of Generative AI in MSME marketing operations and examine its influence on customer loyalty by employing the Technology Acceptance Model (TAM). The…

PERBANDINGAN KOMBINASI INJEKSI PERINEURAL DAN ORAL MECOBALAMIN DENGAN TERAPI …

Background: Carpal tunnel syndrome (CTS) is the most common entrapment neuropathy, predominantly presenting with sensory symptoms such as numbness and tingling. Conservative therapy with oral mecobalamin is widely used; however, the onset of improvement is often slow. Perineural injection of mecobalamin may provide a faster local effect, but clinical evidence remains limited. This study aimed t…

KLASIFIKASI SERANGAN SPYWARE ANDROID MENGGUNAKAN METODE CONVOLUTIONAL NEURAL …

The increasing use of Android devices has led to a rise in security threats, particularly spyware attacks that threaten user privacy. Conventional signature-based detection methods have limitations in detecting new spyware variants. This study aims to classify Android spyware attacks using the Convolutional Neural Network (CNN) method. The dataset used is CIC-MalMem2022, consisting of memory du…

PRAKTEK SISTEM KETATANEGARAAN MENURUT UUD 1945

Edition

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ISBN/ISSN

-

Collation

167 hlm.; 22 cm.

Series Title

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Call Number

342 Sag p

DETEKSI SERANGAN SSL PINNING BYPASS DAN DDOS PADA JARINGAN SMARTHOME MENGGUNA…

The rapid development of the Internet of Things (IoT) has accelerated the implementation of smart home systems connected to the internet. However, this advancement also increases the risk of cyberattacks, particularly SSL Pinning Bypass, which threatens communication security, and Distributed Denial of Service (DDoS), which disrupts service availability. This study aims to detect both types of …

PENGEMBANGAN APLIKASI FOSSERA BERBASIS AUGMENTED REALITY SEBAGAI MEDIA EDUKAS…

Learning about ancient human fossils remains predominantly reliant on two-dimensional media and is further constrained by limited public access to museum collections, resulting in suboptimal implementation of interactive and contextual learning processes. This study aims to develop FOSSERA as an Augmented Reality (AR)-based educational application that presents three-dimensional visualizations …

PENDEKATAN NAMED ENTITY RECOGNITION TERHADAP IOB1 DAN IOB2 TAGGING SCHEME UNT…

Cyber Threat Intelligence (CTI) is essential to support cyber threat detection and mitigation, particularly for Advanced Persistent Threat (APT) activities that are commonly reported in unstructured text. This condition makes critical information difficult to utilize automatically without an entity extraction process. This study aims to analyze the performance of Named Entity Recognition (NER) …

DETEKSI ADVANCED PERSISTENT THREAT (APT) PADA CYBER THREAT INTELLIGENCE (CTI)…

The development of information technology has increased cyber attack threats, especially Advanced Persistent Threat (APT), so appropriate methods are needed to detect attacks based on Cyber Threat Intelligence (CTI) data. The main problems in this study are data imbalance and the difficulty in determining the most important features to improve detection results. To address these problems, this …

PENGEMBANGAN SISTEM KLASIFIKASI PENYAKIT ALZHEIMER PADA CITRA MAGNETIC RESONA…

Alzheimer's disease is a slowly progressing neurodegenerative disorder characterized by memory decline, visual-spatial impairment, executive function impairment, and personality and behavioral changes. Early detection of this disease is crucial for proper treatment. This study used MRI images to detect Alzheimer's disease, as MRI can provide a more detailed picture of brain structure and networ…

ANALISIS E-SERVICE QUALITY APLIKASI MYTELKOMSEL MENGGUNAKAN METODE CUSTOMER S…

Penelitian ini menganalisis kualitas layanan elektronik (e-service quality) pada aplikasi MyTelkomsel sebagai respons atas keluhan pengguna terkait lambatnya respons layanan dan kurang optimalnya fitur dukungan otomatis. Tujuan penelitian adalah mengukur tingkat kepuasan pengguna serta mengidentifikasi atribut layanan yang perlu diprioritaskan untuk perbaikan. Data dikumpulkan melalui kuesioner…

SISTEM PENDUKUNG KEPUTUSAN PENENTUAN JURUSAN SISWA BARU DI SMK TRI DHARMA MEN…

Penentuan jurusan di SMK Tri Dharma masih dilakukan secara manual dan cenderung subjektif, meskipun telah dilaksanakan tes akademik saat penerimaan siswa baru. Keputusan jurusan lebih banyak dipengaruhi pilihan pribadi atau orang tua tanpa mempertimbangkan hasil angket minat dan bakat secara menyeluruh, sehingga menimbulkan ketidaksesuaian jurusan dan penurunan motivasi belajar. Penelitian ini …

ANALISIS PERBANDINGAN ALGORITMA ANN, ANN-PSO, DAN ANN-GA UNTUK KLASIFIKASI KE…

Flight departure delays affect operational efficiency and the quality of air transportation services. This study compares the performance of the Artificial Neural Network (ANN), ANN optimized using Particle Swarm Optimization (ANN-PSO), and ANN optimized using Genetic Algorithm (ANN-GA) for flight delay classification using a two-class dataset, namely on-time and delayed flights, based on opera…

ANALISIS PERBANDINGAN ALGORITMA MACHINE LEARNING UNTUK PREDIKSI KETERLAMBATAN…

This research was conducted because departure delays on the Light Rail Transit can reduce passenger comfort and satisfaction. Therefore, a predictive model that can estimate delays accurately is needed. The purpose of this study is to implement, compare, and determine the best machine learning algorithm for predicting LRT departure delays in Canberra. The dataset used consists of static and rea…

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…

FAKTOR-FAKTOR YANG MEMPENGARUHI PEMBELIAN IMPULSIF KONSUMEN SHOPEE PADA SAAT …

Penelitian ini mengkaji faktor-faktor psikologis yang memengaruhi perilaku pembelian impulsif konsumen selama acara flash sale Shopee di Kota Palembang dengan menggunakan kerangka Theory of Planned Behavior (TPB). Penelitian ini menggunakan pendekatan kuantitatif kausal dengan data survei dari 154 pengguna Shopee yang terlibat dalam pembelian flash sale. Data dianalisis menggunakan pendekatan S…

PENERAPAN FRAMEWORK CRISP-DM UNTUK ANALISIS SENTIMEN ULASAN APLIKASI CROWDFUN…

Ulasan pengguna pada platform crowdfunding memiliki nilai strategis sebagai bahan evaluasi kualitas layanan. Penelitian ini menganalisis sentimen ulasan pengguna aplikasi Kitabisa serta membandingkan kinerja algoritma Naive Bayes, Support Vector Machine (SVM), dan Random Forest dengan menerapkan framework CRISP-DM. Data penelitian terdiri dari 1.624 ulasan yang dikumpulkan dari Google Play Stor…

ANALISIS SENTIMEN PUBLIK PADA TWITTER TERHADAP IMPLEMENTASI KEBIJAKAN ROYALTI…

Penelitian ini menginvestigasi determinan perilaku impulsive buying selama acara Flash Sale di platform Tokopedia. Berlandaskan pada kerangka kerja Unified Theory of Acceptance and Use of Technology 2 (UTAUT2), penelitian ini menguji pengaruh Hedonic Motivation dan Price Value terhadap Behavioral Intention, serta dampaknya terhadap Impulsive Buying. Pendekatan kuantitatif diterapkan dengan meng…

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 …