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ANALISIS EFISIENSI ENERGI RPL PADA JARINGAN SENSOR NIRKABEL MENGGUNAKAN METOD…
A routing protocol (RPL) specifically designed for networks with low power and high loss, such as Wireless Sensor Networks. RPL can be optimized for Energy Efficiency, due to limited resources and weak connections, the probability of network disconnection is quite high.This will cause losses resulting in more amount of energy consumption at the nodes to retransmit the packets. In this regard, R…
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- xii, 46 hlm.; ilus.; tab, 29 cm.
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- T1550702024
SEGMENTASI DAN KLASIFIKASI TINGKAT KEPARAHAN LESI PRA KANKER SERVIKS DENGAN M…
Seiring berkembangnya teknologi, model deep learning kini dapat digunakan untuk mengimplementasikan proses segmentasi dan klasifikasi citra. Penelitian ini bertujuan untuk mengembangkan model segmentasi dan klasifikasi kanker serviks menggunakan arsitektur U-Net Convolutional Neural Network (CNN). Model U-Net dikembangkan untuk melakukan segmentasi jaringan serviks dan memisahkan area yang menc…
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- xv, 64 hlm.; ilus.; tab, 29 cm.
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- T1549192024
PEMETAAN POTENSI CUACA EKSTREM DI KABUPATEN BANGKA BARAT MENGGUNAKAN METODE W…
Penelitian ini bertujuan untuk mengetahui potensi cuaca ekstrem diKabupaten Bangka Barat dengan menggunakan software ArcGis versi 10.8. Pemetaan potensi cuaca ekstrem di Kabupaten Bangka Barat ini menggunakan 3 parameter, yaitu peta tutupan lahan, curah hujan, dan topografi/kelerengan. Ketiga parameter tersebut akan diolah dan menghasilkan masing-masing peta, yaitu peta tutupan lahan, peta cura…
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- xvii, 103 hlm.; ilus.; 29 cm
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- T1598632024
PENDETEKSIAN T WAVE ALTERNANS MELALUI DELINEASI SINYAL ELEKTROKARDIOGRAM BE…
T Wave Alternans (TWA) dikaitkan dengan beberapa penyakit dan deteksi akuratnya yang dapat mengdiagnosis lebih dini mengenai komplikasi jantung. Penelitian ini menggunakan data dari QT Database (QTDB) dan T Wave Alternans Database (TWADB). QTDB digunakan untuk proses training untuk pengujian model sedangkan dataset TWA digunakan untuk proses pengujian. Delineasi terhadap sinyal EKG secara otoma…
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- xv, 97 hlm.; ilus.; tab, 29 cm.
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- T1549172024
PENENTUAN KONDISI KEPADATAN LALU LINTAS BERDASARKAN DATA MEDIA SOSIAL MENGGUN…
Perbandingan dilakukan antara data media sosial terhadap data angka kendaraan dari kamera CCTV Dirlantas Polda Sumsel menggunakan algoritma Naïve Bayes. Data media sosial dikumpulkan dengan teknik scrapping menggunakan Tweet Harvest, kemudian melalui proses preprocessing dan metode TF-IDF lalu diklasifikasikan menggunakan Naïve Bayes. Sedangkan data angka kendaraan, dilatih menggunakan model …
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- xiv, 63 hlm.; ilus.; tab, 29 cm
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- T1550892024
ANALISIS FAKTOR-FAKTOR YANG MEMENGARUHI NIAT PERILAKU DAN PERILAKU PENGGUNAAN…
Seabank merupakan aplikasi bank digital yang dimiliki PT Bank Seabank Indonesia yang membantu dalam melakukan aktivitas finansial, mulai dari menabung hingga bertransaksi, melalui handphone kapan pun dan dimana pun. Namun, aplikasi seabank mengalami penurunan pengguna aktif dan open rate yang mana para pengguna mengeluhkan beberapa masalah baik dalam hal teknis maupun event atau keuntungan dala…
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- xv, 84 hlm.; ilus.; tab, 29 cm.
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- T1534952024
MONITORING DAN ANALISIS PERFORMA TRANSAKSI PERSECOND PADA SISTEM BLOCKCHAIN B…
Blockchain is a distributed database in which information sent by users is periodically verified and grouped into blocks, thus forming a chain. CITA (Cryptape Inter-enterprise Trust Automation) is a high-performance blockchain system for enterprises with 6 microservices (RPC, Auth, Consensus, Chain, Executor, Network) that exchange information via Message Bus. The process of data retrieval, dat…
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- xiii, 47 hlm.; ilus.; tab, 29 cm.
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- T1543362024
OPTIMALISASI MANAGEMENT FLEET ALAT GALI MUAT DAN ALAT ANGKUT MENGGUNAKAN SOFT…
Pencapaian produksi batubara harian seringkali tidak mencapai target, kebutuhan batubara yang semakin meningkat menyebabkan tingkat produktivitas batubara juga semakin tinggi, maka dari itu kebutuhan alat gali muat dan alat angkut serta efisiensi alat harus dipertimbangkan. Target produksi harian batubara pada bulan januari di PT. Putra Muba Coal diketahui mencapai 2.974,27 ton/hari, dengan akt…
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- xv, 56 hlm.; ilus.; tab, 29 cm.
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- T1537982024
KLASIFIKASI SERANGAN SPYWARE DENGAN MENGGUNAKAN METODE DECISION TREE
Spyware is a type of malicious software that can collect information about a person or organization without permission. Typically, spyware is installed accidentally through malware or downloaded from the internet without the user's knowledge. Spyware is particularly dangerous because it targets computers and gadgets, posing serious risks to privacy and data integrity. Spyware can collect sensit…
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- xv, 82 hlm.; ilus.; tab.; 29 cm.
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- T1859732025
KLASIFIKASI TRAFFIC ANONYMOUS THE ONION ROUTE DENGAN METODE K-NEAREST NEIGHBO…
Penelitian ini bertujuan untuk mengembangkan model klasifikasi yang akurat untuk mengidentifikasi dan mengkategorikan lalu lintas anonim pada jaringan Tor. Dataset yang digunakan adalah CIC-Darknet2020. Teknik Synthetic Minority Over-sampling Technique (SMOTE) diterapkan untuk menangani ketidakseimbangan kelas, sementara Mutual Information Classifier (MIC) digunakan untuk seleksi fitur. Model K…
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- xii, 53 hlm.; ilus.; tab, 29 cm.
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- T1535522024
DETEKSI POLA AKSES JUDI ONLINE BERBASIS PROTOCOL SSL/TLS BY SNI MENGGUNAKAN M…
Perkembangan teknologi internet yang pesat telah menyebabkan meningkatnya aktivitas judi online yang berpotensi mengancam keamanan data dan ketertiban digital. Penelitian ini bertujuan untuk mendeteksi pola akses terhadap situs judi online melalui analisis informasi Server Name Indication (SNI) pada protokol SSL/TLS menggunakan metode Support Vector Machine (SVM). Proses penelitian mencakup pem…
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- xv, 80 hlm.; ilus.; tab.; 29 cm.
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- T1859222025
IMPLEMENTASI DAN ANALISIS DYNAMIC TRAFFIC MANAGEMENT DENGAN PARAMETER QUALITY…
This study examines the implementation and analysis of Dynamic Traffic Management on Software Defined Network (SDN) networks with performance assessment through Quality of Service (QoS) parameters using the t-Test method. The aim is to assess the impact of implementing dynamic traffic management on network performance by comparing conditions before and after the use of intent based routing on t…
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- xv, 145 hlm.; ilus.; tab.; 29 cm.
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- T1859052025
DETEKSI SERANGAN DDOS DOS DAN MITM PADA JARINGAN SMARTHOME MENGGUNAKAN METODE…
The development of the Internet of Things (IoT) has brought convenience to human life through the smart home concept, which enables various devices to be interconnected and controlled automatically. However, this increased connectivity also poses security threats, particularly cyberattacks such as Distributed Denial of Service (DDoS), Denial of Service (DoS), and Man-in-the-Middle (MiTM). This …
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- xii, 101 hlm.; ilus.; tab.; 29 cm.
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- T1858732025
DETEKSI SERANGAN DDOS DAN MITM PADA JARINGAN SMARTHOME MENGGUNAKAN METODE RAN…
The development of smart home technology enables users to control and monitor household devices automatically through the Internet of Things (IoT). However, this high connectivity also increases the risk of cyberattacks such as Distributed Denial of Service (DDoS) and Man in The Middle (MITM), which can compromise system stability and security. This study aims to detect DDoS and MITM attacks in…
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- xiii, 95 hlm.; ilus.; tab.; 29 cm.
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- T1858742025
ANALISIS SENTIMEN INSTAGRAM DAN FACEBOOK TERHADAP KONDISI LALU LINTAS DI KOTA…
Penelitian ini bertujuan membangun model klasifikasi kondisi lalu lintas menggunakan data dari sosial media (Instagram dan Facebook) serta data ETLE dengan arsitektur Long Short-Term Memory (LSTM). Dari total 1.251 data sosial media yang dikumpulkan, sebanyak 932 data dipilih berdasarkan kemunculan kata kunci “macet”, “sedang”, dan “lancar”. Data ini kemudian dibagi menjadi data lat…
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- xvii, 73 hlm.; ilus,; tab, 29 cm
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- T1838022025
IMPLEMENTASI METODE YOU ONLY LOOK ONCE (YOLOV8) DALAM MENDETEKSI ACNE VULGARIS
This study aims to implement the You Only Look Once (YOLOv8) method for detecting acne in acne vulgaris images. Automatic detection of acne types is essential to support rapid, accurate, and efficient dermatological diagnosis. The research involves designing a YOLOv8-based detection model, which includes the stages of collecting and annotating facial image datasets, preprocessing, model trainin…
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- xiii, 90 hlm.; ilus.; tab.; 29 cm.
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- T1858712025
THE DETERMINANTS OF THE USE OF PERFORMANCE MEASUREMENT SYSTEM IN LOCAL GOVERN…
This study investigates the determinants influencing the use of performance measurement systems (PMS) in local governments of South Sumatera. The research aims to identify critical factors that affect the implementation and effectiveness of PMS in these governmental bodies. The population of this study consists of Public Servants that located in 5 cities/regencies. A total of 114 questionnaire …
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- viii, 87 hlm.; ilus.; 29 cm
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- T1490352024
DETEKSI SERANGAN DDOS DAN MITM PADA JARINGAN SMARTHOME DENGAN METODE MACHINE …
The rapid growth of Internet of Things (IoT) devices in smart home environments increases convenience but also introduces various network security threats, such as Distributed Denial of Service (DDoS) and Man in The Middle (MITM) attacks. This study aims to implement and evaluate the performance of the Extreme Gradient Boosting (XGBoost) algorithm in detecting DDoS and MITM attacks on IoT netwo…
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- xiv, 85 hlm.; ilus.; tab.; 29 cm.
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- T1858772025
KERAPATAN DAN STRUKTUR KOMUNITAS LAMUN SERTA KETERKAITANNYA DENGAN PARAMETER …
Seagrass ecosystems are among the most important shallow marine habitats, playing a crucial role in maintaining ecological balance and coastal stability. This study aims to analyze the density and community structure of seagrass and their relationship with water quality parameters. Sampling stations were determined using the purposive sampling method, while seagrass observations were conducted …
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- xvi, 75 hlm.; ilus.; tab.; 29 cm.
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- T1858622025
PERUBAHAN SOSIAL EKONOMI KEHIDUPAN NASABAH BTPN SYARIAH DI KELURAHAN 13 ULU K…
This research discusses the socio-economic changes in the lives of BTPN Syariah customers in sub-district 13 Ulu after the credit loan. There were changes after the people in sub-district 13 Ulu became familiar with the bank credit system. The occurrence of socio-economic changes certainly has an impact on society, this research aims to find out how the socio-economic changes in the lives of BT…
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- xii, 80 hlm.; ilus.; tab.; 29 cm
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- T1477312024
PERANCANGAN SISTEM KENDALI DAN MONITORING SUHU OVEN LPG MENGGUNAKAN SENSOR TH…
Manual temperature control in LPG-fueled ovens often faces difficulties in maintaining the required temperature stability during the heating process, especially in small and mediumscale industries. Temperature instability can reduce product quality and decrease process efficiency. Based on these problems, this study aims to design and implement a temperature control and monitoring system for an…
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- 83 hlm.; ilus.; tab.; 29 cm.
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- T1858312025
PERANCANGAN SISTEM MONITORING KECEPATAN ALIRAN DAN KETINGGIAN AIR SUNGAI MENG…
This research develops a River Water Flow Velocity and Water Level Monitoring System Using RESTful Web Service. The system allows users to monitor river water conditions through a Laravel-based web without the need for direct monitoring in the field. The system implementation uses a BMP280 sensor to measure water level and a Speed Groove Coupler Photoelectric IR Count Counter sensor to detect t…
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- vi, 86 hlm.; ilus.; tab.; 29 cm.
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- T1858212025
IMPLEMENTASI METODE CONVOLUTIONAL NEURAL NETWORK (CNN) UNTUK MENDETEKSI KEMAC…
This study developed the YOLOv8 model to detect five object classes, with training results showing an accuracy of 95%, an f-1 score of 89%, and mAP@0.5 of 93.1%. In the testing phase, the model achieved an accuracy of 93.83%, an f-1 score of 83%, and mAP@0.5 of 86.7%. Vehicle counting using YOLOv8 and DeepSORT on 72 videos showed an average accuracy of 95.51% for motorcycles and 79.02% for cars…
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- xiv, 118 hlm.; ilus.; tab, 29 cm.
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- T1542482024
IMPLEMENTASI DEEP LEARNING UNTUK KLASIFIKASI PENYAKIT MATA DENGAN STUDI PERBA…
Retinal image based eye disease classification is an important approach to support automated diagnosis in the medical field. This study aims to classify four types of eye diseases normal, cataract, glaucoma, and diabetic retinopathy using Convolutional Neural Network (CNN) models with the InceptionV3 and VGG-16 architectures. The dataset was obtained from the Kaggle platform, consisting of 4,21…
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- xvi, 58 hlm.; ilus,; tab, 29 cm
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- T1834712025
PENGARUH FAKTOR-FAKTOR KETERLIBATAN MASYARAKAT PADA MEDIA SOSIAL PEMERINTAH (…
This study investigates the influence of eight factors on citizen engagement in government social media, with a case study on the Instagram account of the South Sumatra Provincial Social Affairs Office (@dinas_sosial_sumsel). The background of this research is the government's use of social media as a communication tool. Although the @dinas_sosial_sumsel Instagram account is active, a lack of i…
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- xiv, 124 hlm.; ilus.; tab.; 29 cm.
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- T1858002025
DETEKSI SERANGAN MALWARE APK REVERSE TCP MENGGUNAKAN METODE ANN (ARTIFICIAL N…
The increasing use of Android devices has also led to the rise of security threats, one of which is the Reverse TCP attack technique that enables unauthorized remote access to victim devices. This study aims to develop a malware detection system using the Artificial Neural Network (ANN) method, implemented on a Small Board Computer (SBC), specifically the Banana Pi BPI-R1. Data was collected th…
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- xiii, 65 hlm.; ilus,; tab, 29 cm
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- T1835712025
ANALISIS PERFORMA NETWORK AUTOMATION ENGINE PADA CLUSTER SERVER MENGGUNAKAN M…
The advancement of network technology drives the need for configuration automation in server infrastructure, especially within complex cluster server environments. This study aims to analyze and compare the performance of three network automation engines, namely Ansible, Puppet, and Chef, in automating server services (Apache, MySQL, Exim, and FileZilla) on two virtualization platforms: Proxmox…
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- xiv, 127 hlm.; ilus,; tab, 29 cm
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- T1823322025
DETEKSI SERANGAN MALWARE ANDROID REVERSE TCP PADA SMALL BOARD COMPUTER DENGAN…
Android malware threats using reverse TCP techniques are increasing and require effective detection methods. This study develops a detection systemusing the Naïve Bayes algorithm implemented on a small board computer (Banana Pi). Network traffic datasets were created under three scenarios: normal, attack (reverse TCP), and combined. After labeling and preprocessing, the Naïve Bayes model was …
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- xvi, 85 hlm.; ilus,; tab, 29 cm
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- T1835732025
ANALISIS POLA HASIL PENETRATION TESTING DENIAL OF SERVICE, MAN-IN-THE-MIDDLE,…
The Disaster Recovery Center (DRC) system ensures the availability of information services during incidents, but it remains vulnerable to cyber attacks such as DoS, MiTM, Brute Force, and SQL Injection. This study analyzes the patterns of penetration testing results on the DRC system using the K-Means Clustering method. Attack data is sourced from internal network simulations, involving preproc…
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- xv, 153 hlm.; ilus,; tab, 29 cm
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- T1836072025
ANALISIS FAKTOR YANG MEMPENGARUHI KEPUASAN PENGGUNA APLIKASI VIU MENGGUNAKAN …
One area of telecommunications technology that is also undergoing development in the context of entertainment is that of video streaming. Viu is a video streaming service that provides a range of premium content free of charge. Nevertheless, the Viu application continues to elicit a range of grievances, with the application’s rating remaining relatively low. It is of great importance to consi…
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- ix, 86 hlm.; ilus.; 29 cm
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- T1614212024
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