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

Edition

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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…

ANALISA KEPADATAN LALU LINTAS DI KOTA PALEMBANG MENGGUNAKAN METODE CNN-GRU BE…

Traffic congestion in Palembang City significantly impacts residents' mobility and urban productivity. This study develops a traffic density classification system based on TikTok social media text using a hybrid Convolutional Neural Network (CNN) and Gated Recurrent Unit (GRU) method. A total of 6,446 captions and comments were collected via Apify and processed into 2,260 relevant records, labe…

PERBANDINGAN PERFORMA MODEL YOU ONLY LOOK ONCE VERSION 11 (YOLOV11) DAN SWIN …

The global agricultural sector faces significant challenges in meeting the demand for food production, with plant diseases being a major factor in reducing yields. In tomato plants, fruit diseases are often manually detected by farmers, but this method is time-consuming and prone to misdiagnosis. This study aims to compare the performance of the YOLOv11 and Swin Transformer models in detecting …

RANCANG BANGUN REVERSE VENDING MACHINE SAMPAH BOTOL PLASTIK BERBASIS SISTEM P…

Plastic bottle waste is one of the environmental problems that continues to increase due to the high use of single-use plastics in everyday life. This final project aims to design and develop a technology-based plastic bottle waste reverse vending machine to support an automated waste management process. The system uses an ESP32 microcontroller as the main control unit, equipped with a TFT LCD …

PERANCANGAN DASHBOARD SISTEM POIN PLASTICPAY PADA REVERSE VENDING MACHINE SAM…

The increase in plastic waste, especially plastic bottles, is influenced by the high consumption of packaged beverages, while the processes of data collection and recording are still not optimally structured. This system was designed to develop the Plasticpay Point System dashboard integrated with a plastic bottle Reverse vending machine, where each inserted bottle is detected by an ESP32-based…

ANALISIS PERFORMA NETWORK LOAD BALANCER DI PLATFORM CLOUD COMPUTING MENGGUNAK…

This study analyzes the performance of a Network Load Balancer (NLB) on cloud computing platforms, namely Google Cloud Platform and Microsoft Azure, using the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method. The evaluation was conducted on a Layer 4 Network Load Balancer implementing the Round Robin algorithm with performance parameters including latency, throughp…

KLASIFIKASI PRA-KANKER SERVIKS BERBASIS FITUR HIBRIDA DENGAN CITRA KOLPOSKOPI…

Cervical cancer remains one of the leading causes of cancer-related mortality among women worldwide, particularly in resource-limited settings where access to routine screening and expert medical evaluation is restricted. Early detection of Cervical Intraepithelial Neoplasia (CIN) through colposcopy image analysis is critical to prevent the progression of pre-cancerous lesions into invasive cer…

ANALISIS STATISTIK INFERENSIAL TERHADAP PERBANDINGAN PERFORMA CI/CD DAN DEPLO…

Continuous Integration and Continuous Deployment (CI/CD) is a widely used approach for automating software build and deployment processes in server-based applications. However, the implementation of CI/CD may increase server activity and affect resource utilization. This study aims to analyze and compare the performance of CI/CD and conventional deployment methods in a web-based server applicat…

ANALISIS PERFORMA ALGORITMA LOAD BALANCING PADA LINGKUNGAN PRIVATE CLOUD MENG…

Load balancing is an essential mechanism in private cloud environments for distributing workloads across multiple servers to improve system performance and service availability. This study aims to evaluate the performance of Round Robin, Least Connections, Weighted Round Robin, and IP Hash algorithms in a Proxmox VE-based private cloud environment using Nginx as the load balancer. Experiments w…

PENDEKATAN NAMED ENTITY RECOGNITION PADA ADVANCED PERSISTENT THREAT DI CYBER …

Advanced Persistent Threat (APT) generates Cyber Threat Intelligence (CTI) reports in the form of unstructured text that is difficult to analyze efficiently. This study aims to extract structured information from CTI reports using the Named Entity Recognition (NER) approach with the Bidirectional Long Short-Term Memory–Conditional Random Field (BiLSTM-CRF) model. The dataset used is CyberNER …

PENDEKATAN NAMED ENTITY RECOGNITION PADA ADVANCED PERSISTENT THREAT DI CYBER …

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

EFEKTIVITAS PUPUK ORGANIK BRIKET DAN EKSTRAK METHANOL PESTISIDA NABATI BERBAH…

Layanan video streaming 3D membutuhkan infrastruktur jaringan yang mampu mendukung transmisi data berukuran besar secara stabil dan efisien. Content Delivery Network (CDN) berfungsi untuk meningkatkan kinerja distribusi konten dengan mendekatkan server ke pengguna akhir. Penelitian ini menganalisis kinerja CDN Cloudflare terhadap parameter Quality of Service (QoS) dan Quality of Experience (QoE…

ANALISIS KINERJA CONTENT DELIVERY NETWORK (CDN) CLOUDFLARE TERHADAP PARAMETER…

Layanan video streaming 3D membutuhkan infrastruktur jaringan yang mampu mendukung transmisi data berukuran besar secara stabil dan efisien. Content Delivery Network (CDN) berfungsi untuk meningkatkan kinerja distribusi konten dengan mendekatkan server ke pengguna akhir. Penelitian ini menganalisis kinerja CDN Cloudflare terhadap parameter Quality of Service (QoS) dan Quality of Experience (QoE…

PERANCANGAN DAN IMPLEMENTASI APLIKASI PRESENSI SISWA MENGGUNAKAN BARCODE DI S…

Student attendance is an important activity in supporting school administration and monitoring student presence. SMP Negeri 30 Palembang still uses a manual attendance system that is less effective. The recording and recapitulation processes take time and are prone to errors This study aims to design and implement a web-based student attendance application, The system uses barcode technology to…

KLASIFIKASI PENYAKIT KANKER KULIT BERDASARKAN CITRA DERMOSKOPIS MENGGUNAKAN V…

Skin cancer is one of the most common types of cancer and requires early detection to increase the chances of successful treatment. This study aims to classify skin cancer diseases based on dermoscopic images using the Vision Transformer Base (ViT-Base) method. The research process begins with a data preparation stage, including data collection and splitting into training, validation, and testi…

PENERAPAN HYBRID CNN DAN VISION TRANSFORMER UNTUK KLASIFIKASI PENYAKIT MATA P…

Retinal diseases require early detection to improve the effectiveness of medical treatment. This study aims to classify retinal diseases based on fundus images using a hybrid architecture of CNN and Transformer Encoder based on Vision Transformer. The research stages include preparing and dividing the dataset into training, validation, and test data, as well as preprocessing in the form of resi…

PREDIKSI KEPADATAN LALU LINTAS BERDASARKAN DATA ELECTRONIC TRAFFIC LAW ENFORC…

Traffic density is a complex issue in Palembang City that impacts time efficiency, fuel consumption, and environmental quality. This study aims to predict traffic density using Electronic Traffic Law Enforcement (ETLE) data as an objective source and Instagram social media data as a representation of public perception, applying the Random Forest method with an eliminating skewed distribution te…

MODEL TRANSFORMER BERBASIS DEEP LEARNING UNTUK SEGMENTASI CITRA JANTUNG JANIN

Masalah: Identifikasi batas jantung dan rongga dada pada citra USG jantung janin masih dilakukan secara manual sehingga berpotensi menimbulkan variabilitas hasil. Selain itu, karakteristik citra USG seperti speckle noise, kontras yang rendah, serta dominasi intensitas abu-abu membuat proses segmentasi struktur anatomi menjadi lebih menantang. Tujuan: Penelitian ini bertujuan mengimplementasikan…

PEMBUKUAN BENDAHARA PENGELUARAN BERBASIS KOMPUTER ( Satuan Kerja Pemerintah P…

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KLASIFIKASI JENIS KASUS DI KEJAKSAAN NEGERI CILEGON MENGGUNAKAN METODE SUPPOR…

The development of text processing technology allows for automated data classification using machine learning methods. In the case classification process, manual text grouping is often time-consuming and error-prone. This study aims to build a text classification system capable of automatically grouping case descriptions into specific categories. The methods used in this study are Support Vecto…

SISTEM SINGLE SIGN-ON BERBASIS OAUTH 2.0 DAN ROLE-BASED ACCESS CONTROL PADA F…

Information systems in the Faculty of Computer Science, Sriwijaya University generally have separate authentication and user management mechanisms in each application. This condition causes repeated login processes, decentralized role management, and less efficient application integration. This research aims to develop a role-based Single Sign-On (SSO) system as a centralized authentication and…

IMPLEMENTASI DASHBOARD SISTEM PEMANTAUAN MULTI-PARAMETER KUALITAS UDARA (CO, …

Air quality is one of the environmental issues that affects human health and ecosystems, making it necessary to have an air quality monitoring system that can provide accurate and consistent information. This study aims to implement a multi-parameter air quality monitoring system dashboard that covers carbon monoxide (CO), ammonia (NH3), ultraviolet (UV) radiation, temperature, and humidity par…