GAMBARAN DERAJAT AKTIVITAS PENYAKIT LUPUS ERITEMATOSUS SISTEMIK SEBELUM DAN S…

Background. Systemic Lupus Erythematosus (SLE) is a chronic multisystem autoimmune disease characterized by the production of autoantibodies and excessive immune activation, resulting in widespread organ damage. Immunosuppressive therapy constitutes a cornerstone in the management of SLE by suppressing abnormal immune responses and preventing further organ injury. The effectiveness of such ther…

LEMBARAN LEPAS PEMERINTAH PROVINSI SUMATERA SELATAN TAHUN 2004: Sistem Jaring…

Edition

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ISBN/ISSN

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ii, 367 hlm. ; 28 cm

Series Title

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Call Number

005.36 Lem l

MANAJEMEN MONITORING POTENSI BANJIR DI KOTA PALEMBANG MENGGUNAKAN GEOAI DENGA…

Penelitian ini dilatarbelakangi oleh permasalahan banjir yang terus berulang di Kota Palembang akibat tingginya curah hujan, kondisi topografi dataran rendah, serta akumulasi sampah pada Daerah Aliran Sungai (DAS). Sistem monitoring banjir yang ada masih belum optimal karena bersifat manual, tidak terintegrasi, dan belum mampu memberikan informasi secara cepat dan akurat. Penelitian ini bertuju…

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

ANALISIS TINGKAT KEPUASAN PENGGUNA PADA SISTEM SHOPEE PAYLATER DENGAN METODE …

The development of information technology in the digital age has triggered significant changes in various aspects of life, including in the e-commerce sector. This study aims to analyze the level of user satisfaction with Shopee PayLater using the User Experience Questionnaire (UEQ) method. This research is motivated by the increasing use of PayLater services in e-commerce and the importance of…

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…

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…

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…

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…

Buku Ajar: KULTUR JARINGAN TUMBUHAN

Edition

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ISBN/ISSN

978-623-02-3225-1

Collation

xii, 99 hlm.; 23 cm

Series Title

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Call Number

571.538 Hab b

JARINGAN SOSIAL PERDAGANGAN DAUR ULANG KATALIS DI KOTA PALEMBANG

Perdagangan daur ulang katalis merupakan aktivitas ekonomi yang terus berkembang seiring meningkatnya kebutuhan terhadap logam mulia yang terkandung di dalam katalis kendaraan. Di Kota Palembang, praktik jual beli katalis tidak hanya berlangsung sebagai transaksi ekonomi, tetapi juga melibatkan jaringan sosial yang terbentuk melalui interaksi antara pelaku usaha, pemilik kendaraan, bengkel, sho…

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 …

SISTEM LOAD BALANCING SERVER SMART FARMING BERBASIS DOCKER SWARM MENGGUNAKAN …

Smart farming requires a reliable server infrastructure to handle real-time data requests. The use of a single server may cause overload and reduce service performance. This study aims to implement a Docker Swarm-based load balancing system for smart farming servers using Single Board Computers in the form of Raspberry Pi. The system architecture consists of one manager node and two worker node…

MODEL IMPROVED C-RAN SELFISH USER BERBASIS DEMAND RESPONSE DAN INSENTIF HETER…

This research discusses the development of an improved C-RAN model based on Demand Response (DR) and heterogeneous incentives by integrating an indirect utility function and a bundling scheme to produce a more adaptive pricing mechanism. Additional parameters such as bandwidth, inbound – outbound traffic, and multiple service classes are included to strengthen the model formulation. The model…

MODEL C-RAN SELFISH USER BERBASIS DEMAND RESPONSE DENGAN INSENTIF HETEROGEN D…

This study aims to design a formulation of a C-RAN selfish user model based on demand response with heterogeneous incentives combined with a bundling scheme in the bandwidth utility function. This approach is employed to analyze user behavior and determine optimal solutions for bandwidth consumption management. In addition, sensitivity analysis is conducted to examine changes in variable and pa…

RANCANG BANGUN SISTEM INFORMASI AKADEMIK (SIAKAD) BERBASIS WEB MENGGUNAKAN ME…

The development of information technology encourages the improvement of academic services through integrated systems. SMP Muhammadiyah 04 Palembang still faces challenges in managing academic data manually, which is inefficient and prone to errors. This study aims to design and develop a web-based Academic Information System (SIAKAD) using the prototype method to meet user needs. The stages inc…

PENGARUH APLIKASI BERBAGAI KONSENTRASI BENZYLAMINOPURINE TERHADAP EKSPLAN DAU…

Durian (Durio zibethinus Murr.) represents a valuable agricultural product. Nonetheless, the ability to produce high-quality seedlings is constrained due to the limitations of traditional propagation techniques. The effectiveness of tissue culture is significantly affected by the type of culture medium used and the levels of plant growth regulators. While Benzylaminopurine has been shown to enc…

EFEKTIVITAS BENZYL AMINO PURINE PADA WOODY PLANT MEDIUM TERHADAP EKSPLAN DAUN…

Penelitian kultur jaringan pada genus Durio telah banyak dilakukan. Perbanyakan kultur jaringan memiliki kelebihan, mampu menghasilkan bibit bebas penyakit dalam jumlah banyak, identik dengan tanaman induk, waktu tumbuh relatif singkat, solusi keterbatasan tempat, dan masa penanaman tidak tergantung oleh musim. Penelitian ini bertujuan untuk mengidentifikasi efektivitas konsentrasi Benzyl Amino…

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…

MODEL INTERNET REVERSE CHARGING (IRC) PADA C-RAN FAIR NETWORK BERBASIS DEMAND…

This study aims to formulate an improved C-RAN and IRC model using a fair-network approach based on demand response and heterogeneous incentives, incorporating an exponential utility function, bundling schemes, and user-side optimization of bandwidth usage. In addition, sensitivity analysis is conducted to identify fluctuations in variables and parameters that may affect the optimal solution. T…

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…

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,…

OPTIMASI BEAMFORMING SINYAL ANTENA MIMO PADA JARINGAN 5G MENGGUNAKAN ALGORITM…

This study discusses beamforming optimization in indoor 5G communication systems based on MU-MIMO configuration by comparing two main approaches, namely the conventional adaptive Least Mean Square (LMS) algorithm and the Long Short-Term Memory (LSTM) deep learning-based weight prediction method. The tested channel environment is an indoor scenario with ten random users, resulting in complex mul…

JARINGAN SOSIAL PROSTITUSI PADA SALAH SATU CAFE DI DESA BANGSA NEGARA KECAMAT…

This research focuses on the practice of prostitution and also the social network of prostitution in Desa Bangsa Negara, Belitang Madang Raya District, East OKU Regency. This research method uses descriptive qualitative research methods with purposive selection of informants. Data collection was done through observation, interviews, and documentation which was then analyzed using network theory…

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…

KLASIFIKASI TEKS LOWONGAN KERJA ASLI DAN PALSU MENGGUNAKAN BIDIRECTIONAL ENCO…

Job vacancy information is now more accessible to the public. However, this ease of access also has a negative impact, namely the increased ease with which fake job vacancies can be spread, causing harm to job seekers. Therefore, this study aims to develop a model based on Bidirectional Encoder Representation from Transformers (BERT) to classify genuine and fake job vacancies. The dataset used …

PREDIKSI DURASI RAWAT INAP PASIEN ICU MENGGUNAKAN DEEP LEARNING

Memprediksi durasi lama rawat inap pada pasien merupakan aspek krusial bagi rumah sakit untuk meningkatkan kualitas pelayanan medis dan manajemen rumah sakit. Prediksi ini membantu pasien dalam menyiapkan kebutuhan yang diperlukan serta memungkinkan rumah sakit untuk mempersiapkan pelayanan medis yang tepat. Dalam penelitian ini, dilakukan prediksi durasi rawat inap pasien ICU menggunakan pende…

KLASIFIKASI KECOCOKAN TANAMAN DENGAN PARAMETER DATA PH DAN KELEMBABAN TANAH M…

Terdapat peningkatan penggunaan kemajuan teknologi khusunya dalam bidang kecerdasan buatan dan Internet of Things (IoT). Penggunaan kecerdasan buatan dalam bidang pertanian seperti Internet of Things (IoT) dapat mengoptimalkan hasil panen petani, misalnya aplikasi pemantauan Ph dan Kelembahan yang membuat petani mengatahui nilai Ph dan Kelembaban secara real time dan menampilkan tanaman apa yan…

PENERAPAN METODE AHP DAN SMART DALAM PEMILIHAN PROVIDER WIFI DI KOTA PALEMBANG

Kebutuhan masyarakat terhadap layanan internet yang cepat dan stabil semakin meningkat seiring dengan perkembangan teknologi digital di Kota Palembang. Banyaknya pilihan penyedia layanan Wi-Fi (Internet Service Provider) dengan karakteristik berbeda menimbulkan kesulitan bagi pengguna dalam menentukan pilihan terbaik secara objektif. Penelitian ini bertujuan untuk menerapkan metode Analytic Hie…

PENGUKURAN KESIAPAN ADOPSI TEKNOLOGI INFORMASI PADA MASYARAKAT TANI DESA GELE…

This study aims to measure the digital literacy index of the farming community in Gelebak Dalam Village, Rambutan Subdistrict, Banyuasin Regency, using the Digital Literacy Index method, which consists of four dimensions, namely Digital Skills, Digital Ethics, Digital Safety, and Digital Culture. The research method used is descriptive quantitative with data collection techniques through questi…