Pemodelan Dinamika Sistem Kendali

Edition

-

ISBN/ISSN

978-623-7110-42-2

Collation

xx, 230 hlm.; 24 cm

Series Title

-

Call Number

621.3 Lak p

HUBUNGAN HOMA-IR DENGAN KARAKTERISTIK KLINIS ACROCHORDON

Background: Acrochordon is a benign fibroepithelial skin tumor commonly found in intertriginous areas and thought to be associated with insulin resistance (IR). Hyperinsulinemia resulting from IR contributes to fibroblast and keratinocyte proliferation through activation of the insulin-like growth factor-1 signaling pathway. The homeostatic model assessment of insulin resistance (HOMA-IR) is a …

SISTEM DETEKSI KERUSAKAN JALAN SECARA REAL- TIME MENGGUNAKAN ALGORITMA DEEP- …

Road damage is an infrastructure problem that affects road user safety and transportation efficiency. Manual road damage detection is considered inefficient due to the large amount of time, labor, and cost required, as well as its subjective nature. Therefore, this study aims to develop an automatic road damage detection system based on computer vision using deep learning methods. This research…

SEGMENTASI JANTUNG ANAK MENGGUNAKAN VISION TRANSFORMER DAN SEGMENT ANYTHING M…

Congenital heart disease in children requires accurate early detection through ultrasonography (USG) imaging. This study aims to develop a deep learning–based system for view classification and hole segmentation in pediatric cardiac images. A Vision Transformer (ViT) model was employed to classify five cardiac views (4CH, 5CH, LA, SA, and SUB), while segmentation was performed using YOLO11-se…

SELEKSI FITUR KLASIFIKASI PENYAKIT INFARK MIOKARD MENGGUNAKAN GENETIC ALGORIT…

In this study, the feature selection method employed is the Genetic Algorithm (GA), while the classification method used is the Support Vector Machine (SVM), with the aim of improving the performance of myocardial infarction disease classification. The study utilizes the Myocardial Infarction Complications dataset, which consists of 123 features. The research process includes several preprocess…

OPTIMASI ALGORITMA K-NEAREST NEIGHBOR (KNN) DENGAN NORMALISASI DAN SELEKSI FI…

Myocardial infarction complications require early, accurate prediction for clinical intervention. This study optimizes the K-nearest neighbor (KNN) algorithm to classify these complications using Z-Score normalization and three feature selection methods: Information Gain, Gain Ratio, and Symmetrical Uncertainty.Using a dataset from the UCI Machine Learning Repository, preprocessing included mea…

PENERAPAN METODE RANDOM FOREST DALAM SISTEM PERINGATAN BANJIR BERBASIS INTERN…

Flooding is one of the most common natural disasters and can cause significant losses. This study aims to design and develop an Internet of Things (IoT)-based flood warning system using the Random Forest algorithm. The system utilizes BMP280 sensors to measure water level and an optocoupler sensor to measure water flow velocity. Sensor data are processed by an ESP32 microcontroller and sent to …

PROSEDUR PEMBAYARAN PENGGAJIAN PENSIUN MELALUI SYSTEM APPLICATION AND PRODUCT…

The internship program conducted at PT Taspen (Persero) Palembang Branch Office aims to provide students with practical experience in understanding pension payroll payment procedures through System Applications and Products (SAP) and the implementation of Financial Accounting Standards (PSAK) in State-Owned Enterprises (BUMN). Pension Payroll Payment is a service provided to pensioners as a res…

PENERAPAN LAPORAN PENELITIAN KEMASYARAKATAN (LITMAS) DALAM MEMBERIKAN REKOMEN…

The thesis entitled: “The Application of Social Inquiry Reports (LITMAS) in Providing Recommendations for Juvenile Justice Decisions” is based on the background of the application of LITMAS in providing recommendations for decisions concerning children in conflict with the law. Therefore, the legal issues examined in this study concern the application of Community Research Reports (LITMAS) …

PROSEDUR PENGAJUAN DAN PENCAIRAN GAJI PEGAWAI ASN BARU DI DINAS SOSIAL PROVIN…

The internship program held at the South Sumatra Provincial Social Services Office aimed to provide students with practical experience in understanding the procedures for submitting and disbursing salaries for new civil servants (ASN), as well as the application of Government Accounting Standards (SAP) in local government agencies. Salary is one of the primary motivators for employment. Besides…

PERANCANGAN HEALTH MONITORING SYSTEM PENDETEKSI DETAK JANTUNG, SATURASI OKSIG…

Monitoring vital signs such as heart rate, oxygen saturation, and body temperature is a primary indicator for the early detection of a person's health condition. However, conventional monitoring is often still manual and limited by distance, making it inefficient for continuous supervision. This research aims to design an Internet of Things (IoT)-based health monitoring system capable of presen…

SIMULASI CFD-FSI KEKUATAN MEKANIK UNTUK MENENTUKAN PERSENTASE INFILL PLASTICS…

Wind energy has become one of the most promising renewable energy sources, with horizontal-axis wind turbines widely used due to their high efficiency. However, the mechanical strength of turbine blades made using additive manufacturing is highly influenced by internal structural configurations, which may affect their durability under aerodynamic loading. To address this issue, optimization of …

PERBANDINGAN IOB1 DAN IOE TAGGING SCHEME PADA NAMED ENTITY RECOGNITION UNTUK …

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

INTEGRASI CFD-FEA FRAMEWORK UNTUK SIMULASI AERODINAMIKA DAN ANALISIS STRUKTUR…

The development of renewable energy promotes small-scale wind turbines as independent power sources. This study designs and analyzes a small-scale Horizontal Axis Wind Turbine (HAWT) blade with a NACA 2412 airfoil using an integrated Computational Fluid Dynamics (CFD) and Finite Element Analysis (FEA) framework through a one-way coupling approach. CFD simulations were performed at Tip Speed Rat…

EKSTRAKSI INDICATOR OF COMPROMISE PADA CYBER THREAT INTELLIGENCE MENGGUNAKAN …

Penelitian ini bertujuan untuk mengembangkan sistem ekstraksi Indicator of Compromise (IoC) dari teks Cyber Threat Intelligence (CTI) menggunakan pendekatan Named Entity Recognition (NER). Permasalahan utama dalam CTI adalah data yang bersifat semi-terstruktur sehingga menyulitkan identifikasi informasi penting secara manual. Metode yang digunakan adalah model BiLSTM-CRF dengan skema BIO untuk …

SISTEM REKOMENDASI PEMILIHAN LAPTOP MENGGUNAKAN KOMBINASI METODE ROC DAN MOORA

The increasing demand for laptops in the digital era is often not aligned with the ease of choosing the right specifications due to the vast variety of brands and features available in the market. This research aims to develop an objective Decision Support System (DSS) for laptop selection by integrating the Rank Order Centroid (ROC) method for criteria weighting and Multi-Objective Optimizatio…

ANALISIS SENTIMEN MASYARAKAT PADA KOMENTAR INSTAGRAM TERHADAP PROGRAM PEMERIN…

Sustainable development is the main focus of local governments in their efforts to improve community welfare, particularly through the achievement of Sustainable Development Goals (SDGs). One of these goals, SDG 6 (Clean Water and Sanitation), emphasizes the importance of access to clean water and proper sanitation for all. This study aims to analyze public sentiment towards the Palembang City …

IMAGE CAPTIONING BERBASIS DEEP LEARNING PADA CITRA REUMATOLOGI

The advancement of medical imaging technology has produced increasingly complex data that require fast and accurate analysis. However, the interpretation of medical images still requires considerable time, relies heavily on medical professionals, and is prone to interpretation errors. Therefore, this study aims to develop an Image Captioning system capable of automatically generating descriptio…

IMAGE CAPTIONING BERBASIS DEEP LEARNING PADA CITRA JANTUNG ANAK

Diagnosis of congenital heart disease in children, namely Atrial Septal Defect (ASD), Atrioventricular Septal Defect (AVSD), and Ventricular Septal Defect (VSD), is hindered by the limited availability of cardiologists in interpreting echocardiography images, necessitating an automated system based on artificial intelligence. This study implements and evaluates a deep learning-based image capti…

GENERATIVE AI BERBASIS DEEP LEARNING PADA ANALISIS CITRA ULTRASONOGRAFI

Ultrasound (USG) image analysis for detecting Congenital Heart Disease (CHD), such as Atrial Septal Defect (ASD), Ventricular Septal Defect (VSD), and Atrioventricular Septal Defect (AVSD), is still limited by the scarcity of clinical datasets. This study evaluates three Generative Adversarial Network (GAN) architectures, namely Deep Convolutional GAN (DCGAN), Wasserstein GAN with Gradient Pena…

PROSEDUR PELAPORAN TRIWULAN INDUSTRI MELALUI SISTEM INFORMASI INDUSTRI NASION…

This final project report aims to examine the mechanism of quarterly industry reporting through SIINas, as well as to identify the obstacles and efforts made in its implementation to ensure compliance with applicable regulations. The methods used include data collection through observation, interviews, and literature review with a qualitative descriptive approach. The National Industrial Inform…

PENGARUH PEMBELAJARAN BERBANTUAN SYMBOLAB DENGAN KONTEKS NUTRISI MAKANAN TERH…

This research aims to determine whether Symbolab-assisted learning with a nutritional food context has a significant effect on students’ algebraic thinking ability on the topic of Systems of Linear Equations in Two Variables (SPLDV). The method used in this study was a quantitative approach with a quasi-experimental design, specifically the Nonequivalent Control Group Design. The research sam…

PERANCANGAN SISTEM INFORMASI PELAYANAN POSYANDU DAN MONITORING KESEHATAN IBU …

This study aims to design and develop a web-based Posyandu Service Information System and Health Monitoring System for mothers and toddlers in Jaga Baya Village. The study was conducted because Posyandu data management was still carried out manually through record-keeping in books. The research methods used in this study included observation, interviews, and literature review, while the system …

PENERAPAN METODE WEIGHTED PRODUCT DAN ADDITIVE RATIO ASSESSMENT PADA ALOKASI …

This study discusses the optimal allocation of hospitals with emergency units in Palembang City using Multi-Criteria Decision Making (MCDM) methods such as Weighted Product (WP) and Additive Ratio Assessment (ARAS). The objective of this study is to determine the optimal hospitals with emergency units in each subdistrict based on six criteria, namely service level, number of specialist doctors,…

EVALUASI USER EXPERIENCE (UX) DAN USABILITY PADA APLIKASI PINTEREST MENGGUNAK…

The rapid development of visual platforms such as Pinterest requires a deeper understanding of how functional and emotional aspects influence user experience. This study aims to analyze the influence of Pragmatic Quality, Hedonic Quality-Stimulation, and Hedonic Quality-Identity on Attractiveness in the Pinterest application. The research employs a quantitative approach using the AttrakDiff ins…

KOMPARASI KINERJA MODEL NAIVE BAYES, SVM, DAN RANDOM FOREST DALAM KLASIFIKASI…

The increasing number of reviews for the Google Gemini app on Google Play Store reflects a variety of user opinions regarding the performance of this AI-based application. To identify sentiment patterns, this study conducted a comparative study of three classification algorithms: Support Vector Machine (SVM), Naive Bayes, and Random Forest, using 14,479 raw reviews collected through scraping. T…

IMPLEMENTASI ESP32 DAN SENSOR KELEMBAPAN TANAH DALAM RANCANG BANGUN SISTEM IR…

Watering is a crucial factor in the oil palm (Elaeis guineensis Jacq.) nursery phase to ensure optimal seedling growth. Conventional irrigation processes are often labor-inefficient and susceptible to fluctuations in planting media moisture. This study aimed to implement and evaluate the performance of an Internet of Things (IoT)-based automatic sprinkler irrigation system design using an ESP32…

ANALISIS FAKTOR-FAKTOR PENERIMAAN DAN KESIAPAN IMPLEMENTASI KNOWLEDGE MANAGEM…

The implementation of a Knowledge Management System (KMS) in higher education requires readiness in human, organizational, and technological aspects to ensure optimal acceptance. This study aims to analyze the influence of Human, Organization, and Technology factors within the HOT-Fit model on KMS acceptance in the Laboratory of the Faculty of Computer Science, Universitas Sriwijaya. This resea…

PENERAPAN METODE HIBRIDA AHP DAN TOPSIS UNTUK MODEL SISTEM PENDUKUNG KEPUTUSA…

The determination of priority nutrition intervention programs at the school level has not yet been supported by a systematic multicriteria decision-making model, which may lead to less consistent and less objective decisions. This issue becomes increasingly important considering the existence of various school-based nutrition intervention programs, such as the Free Nutritious Meal (MBG) program…

SISTEM INFORMASI PENGAJUAN DAN PENGELOLAAN KEGIATAN DI FAKULTAS ILMU KOMPUTER…

At the Faculty of Computer Science, University of Sriwijaya, the submission and management of activities are currently still carried out manually using physical documents and have not yet been integrated into a unified system. Applicants are required to submit their application documents to the academic office, after which the verification and approval process is carried out in stages through t…