PENGARUH KUALITAS LAYANAN TERHADAP TINGKAT KEPUASAN PENGGUNA INDRIVE DI KOTA …

User satisfaction will encourage them to use the InDrive service, the results of exploration with users revealed some problems such as server down and the application map display is not as intended, causing customer dissatisfaction with the InDrive service. purpose cause customer dissatisfaction with the InDrive service. From this It is hoped that this research will be a solution to the problem…

PREDIKSI KEPADATAN KENDARAAN BERDASARKAN ANALISIS DATA SENTIMEN TWITTER DAN E…

A comparison was conducted between social media data and traffic vehicle count data calculated by CCTV ETLE of Sumsel Regional Police Traffic Directorate. Both were processed and classified using the Support Vector Machine algorithm. Social media data collection was performed using scraping technique using Tweet Harvest from Playwright. Prior to classification using the Support Vector Machine a…

DETEKSI SERANGAN DDOS DOS DAN MITM PADA PERANGKAT SMART HOME MENGGUNAKAN METO…

This study aims to detect and classify Distributed Denial of Service (DDoS), Denial of Service (DoS), and Man in The Middle (MITM) attacks on smart home devices using the Naïve Bayes method. The research begins by identifying important features of network traffic such as frame.time.epoch, ip.src, ip.dst, eth.src, eth.dst, tcp.srcport, tcp.dstport, arp, and frame.len, which play a crucial role …

IMPLEMENTASI EFFICIENTNETB3 UNTUK PENGENALAN SISTEM ISYARAT BAHASA INDONESIA …

The Indonesian Sign Language System (SIBI) is widely used as a communication standard within the deaf community. However, communication barriers still exist between deaf individuals and the general public who are not proficient in sign language. Therefore, an effective technological solution is required to bridge this communication gap. This study aims to develop a real-time SIBI sign language …

DETEKSI SISTEM ISYARAT BAHASA INDONESIA (SIBI) MENGGUNAKAN ARSITEKTUR CONVOLU…

Communication is essential in life but poses a significant barrier between the hearing-impaired community and the general public due to a lack of understanding of Sign Language. This research aims to develop a real-time detection system for the Indonesian Sign Language System (SIBI) to bridge this communication gap. The method employed is a Deep Learning architecture using a Convolutional Neura…

DETEKSI BAHASA ISYARAT INDONESIA (BISINDO) SECARA REAL-TIME DENGAN ARSITEKTUR…

Indonesian Sign Language (Bisindo) is the primary language used by the Deaf community to communicate. However, the limited understanding of Bisindo among the general public often creates communication barriers. Therefore, this study aims to develop a real-time Bisindo detection system using the Convolutional Neural Network (CNN) architecture with MobileNet and MobileNetV2 models. The models wer…

DETEKSI SERANGAN MALWARE ANDROID REVERSE TCP PADA LALU LINTAS JARINGAN MENGGU…

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xiv, 77 hlm.; ilus.; tab.; 29 cm.

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Call Number

T1855552025

ANALISIS EFISIENSI SMART CONTRACT PADA BLOCKCHAIN MENGGUNAKAN MACHINE LEARNING

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xv, 87 hlm.; ilus.; tab.; 29 cm.

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T1855922025

EVALUASI USER EXPERIENCE (UX) PADA APLIKASI NETFLIX MENGGUNAKAN METODE HEART …

Netflix is one of the most popular subscription video-on-demand (SVoD) platforms, offering a wide range of authentic, high-quality content and features that allow users to select, enjoy, and share their viewing experiences on social media. Despite its popularity, Netflix often receives complaints from users, including issues with accessing the application and various features related to viewing…

ANALISIS WEBSITE SISTEM INFORMASI HIV AIDS VERSI 2.1 MENGGUNAKAN METODE WEBQU…

This research aims to evaluate the quality of the HIV/AIDS Information System (SIHA) website using the WebQual 4.0 and Importance Performance Analysis (IPA) methods. The evaluation was carried out to understand user perceptions and expectations regarding three quality dimensions: Usability, Information Quality, and Service Interaction Quality. Research data was obtained through questionnaires f…

ANALISIS SENTIMEN PUBLIK TERHADAP HASIL PEMILU DENGAN NAÏVE BAYES PADA MEDIA…

The objective of the research is to examine the public opinion regarding the 2024 Indonesian election results by applying Naïve Bayes to social media data obtained from platform X of Twitter. A dataset comprising 2,500 election-related tweets was obtained by web scraping and then subjected to tokenization, stopword elimination, stemming, and TF-IDF weighting for preprocessing. The application …

EVALUASI PROSES BISNIS PELAKSANAAN SURVEI ANGKATAN KERJA NASIONAL DENGAN METO…

The Central Bureau of Statistics of Ogan Ilir Regency is a government agency responsible for collecting and processing statistical data, including the National Labor Force Survey (Sakernas). In the process of implementing Sakernas, there are problems that continue to occur, namely the long duration of implementation, the manual data collection system and the limited allocation of resources so t…

KNOWLEDGE DISCOVERY TERHADAP ULASAN APLIKASI MENGGUNAKAN PERBANDINGAN WORD EM…

The rapid growth of e-commerce in Indonesia reflects the country's economic acceleration and provides a variety of benefits. One of them is TikTok Shop, which has become a popular platform for digital economic activities that offers opportunities for businesses and consumers. To maximize these opportunities, companies must effectively understand and manage user sentiment to improve services and…

PENERAPAN METODE MECUE 2.0 DALAM EVALUASI PENGALAMAN PENGGUNA APLIKASI MYTELK…

Technological advancements in the era of globalization have driven rapid progress in telecommunications, particularly through the internet and smartphones. MyTelkomsel, a self-service application by Telkomsel, is designed to facilitate users in managing telecommunications services conveniently. However, despite offering various advanced features, many users report negative experiences, such as …

PEMETAAN SEBARAN DAN ANALISIS KESEHATAN MANGROVE DI MUARA SUNGAI MUSI SUMATER…

This research aims to map the distribution and analyze the health condition of mangrove ecosystems in the Musi River Estuary, South Sumatra Province, using Sentinel-2A satellite imagery. The purposive sampling method was applied to determine sampling points representing various ecological zones. Field data consisted of tree density, trunk diameter, and canopy cover, while the satellite data wer…

IMPLEMENTASI SISTEM PERINTAH GERAK PADA ROBOT PENGANTAR OBAT BERDASARKAN GEST…

Penelitian ini bertujuan untuk mengimplementasikan sistem perintah gerak berbasis gestur jari tangan pada prototipe robot pengantar obat. Sistem ini memanfaatkan metode Weightless Neural Network (WNN)). Proses akuisisi citra dan ekstraksi fitur dilakukan pada Raspberry Pi menggunakan library MediaPipe untuk mendeteksi 21 titik landmark tangan. Sebanyak 10 fitur diekstraksi berdasarkan jarak Euc…

ANALISIS SENTIMEN DAN TOPIK ULASAN DATA PENGGUNA APLIKASI KOMUNITAS DIGITAL B…

Perilaku tidak sabar dari para gamer kerap tercermin melalui ulasan digital yang tajam, terutama dalam penggunaan aplikasi komunitas seperti Discord. Penelitian ini mengeksplorasi ekspresi ketidaksabaran tersebut melalui pendekatan analisis sentimen dan topik. Dengan mengadopsi kerangka kerja CRISP-DM, sebanyak 10.000 ulasan berbahasa Indonesia dari Google Play Store dikumpulkan dan dianalisis.…

DETEKSI SERANGAN MALWARE ANDROID REVERSE TCP PADA NETWORK TRAFFIC MENGGUNAKAN…

The rapid advancement of Android technology makes this operating system vulnerable to malware attacks, one of which is the Reverse TCP Trojan, capable of establishing a back connection from the victim’s device to the attacker without being detected. This study aims to analyze the characteristics of Android Reverse TCP malware attacks on network traffic and develop a detection model using the …

DETEKSI REVERSE TCP METASPLOIT MENGGUNAKAN GRAPH CONVOLUTIONAL NETWORK

The rapid development of the open-source Android operating system has made it vulnerable to various cyberattacks, including malware that utilizes the reverse TCP technique. This attack allows an attacker to remotely control a victim’s device through a connection initiated by the device itself, making it difficult to detect using conventional security mechanisms. This research aims to detect r…

ANALISIS KEBUTUHAN MASYARAKAT KOTA PALEMBANG TERHADAP SISTEM INFORMASI TRANSP…

This study analyzes the needs of the people of Palembang for a transportation information system to support their daily mobility, based on the lack of accurate and integrated public transportation information. The research employs the Structural Equation Modeling (SEM) method with the Technology Acceptance Model (TAM) approach. Respondents consist of individuals in the productive age group (15�…

VISUALISASI LALU LINTAS JARINGAN PADA SITUS JUDI ONLINE MENGGUNAKAN MACHINE L…

The rapid growth of online gambling in Indonesia poses significant challenges insocial, economic, and network security aspects. This study aims to visualize networktraffic patterns of online gambling sites using machine learning approaches,specifically the K-Means and DBSCAN algorithms. Data were collected throughnetwork tapping with Wireshark during access to online gambling sites andapplicati…

ANALISIS PENGENALAN POLA HURUF DAN ANGKA RUANGAN MENGGUNAKAN METODE WEIGHTLES…

Pattern recognition is an essential aspect of artificial intelligence with various applications, including face, voice, and character recognition. In the healthcare field, this technology can support navigation systems for medicine delivery robots, reducing direct physical contact between medical staff and patients with infectious diseases. This research focuses on applying the Weightless Neura…

PEMBANGUNAN MODEL PREDIKSI PERMINTAAN TRANSPORTASI UDARA DI INDONESIA BERDASA…

Air transportation plays an essential role in Indonesia, the world’s largest archipelagic country, in supporting connectivity and national economic growth. This study aims to predict the number of air passengers using a machine learning model based on annual time series data (1970–2021) from the World Bank. In the preprocessing stage, a Fuzzy Logic method based on the Non-Stationary Fuzzy T…

DETEKSI AKSES JUDI ONLINE VIA TLS/SSL MENGGUNAKAN METODE RANDOM FOREST

This study aims to detect access to online gambling sites encrypted with TLS/SSL using machine learning-based network traffic fingerprint analysis, without accessing content to maintain privacy. The background focuses on the prevalence of illegal online gambling hidden behind encryption, which reduces the effectiveness of traditional methods such as DPI. The problem formulation includes the ide…

KOMPARASI DETEKSI ANOMALI LALU LINTAS JARINGAN PADA SITUS JUDI ONLINE MENGGUN…

This study discusses a comparison of the machine learning algorithms Random Forest and Decision Tree in detecting anomalies within network traffic on online gambling sites. The data was collected through network traffic capturing using Wireshark, followed by preprocessing stages that included data cleaning, encoding, balancing using Random Oversampling, and splitting into training and testing s…

ANALISIS PENGENALAN POLA WAJAH PADA ROBOT PENGANTAR OBAT BERDASARKAN CITRA WA…

Perkembangan teknologi robotika memberikan peluang besar dalam pelayanan kesehatan, salah satunya pada sistem robot pengantar obat. Penelitian ini bertujuan untuk menganalisis metode Weightless Neural Network (WNN) dalam pengenalan wajah, tingkat akurasi pengenalan, serta menilai waktu eksekusi algoritma dalam sistem tertanam. Proses dimulai dengan akuisisi citra wajah menggunakan kamera Raspi,…

IMPLEMENTASI DAN PERBANDINGAN PERFORMA YOLOV8, DAN STF-YOLO PADA SISTEM OBJEC…

Penelitian ini membahas implementasi dan perbandingan performa dua model deteksi objek berbasis deep learning, yaitu YOLOv8m dan STF-YOLOm (Swin Transformer Fusion YOLO). Tujuan penelitian ini adalah merancang model deteksi kendaraan menggunakan citra lalu lintas dari CCTV serta menganalisis performanya berdasarkan metrik evaluasi seperti precision, recall, dan mean Average Precision (mAP). Dat…

KLASIFIKASI RHEUMATOLOGI MENGGUNAKAN VISION TRANSFORMER

The development of Artificial Intelligence (AI) has made significant contributions to the medical field, particularly in image-based diagnosis. Rheumatology diseases are often difficult to diagnose due to the complexity of medical image analysis. To address this challenge, this study proposes the use of the Vision Transformer (ViT) for classifying medical images related to rheumatology conditio…

PENGEMBANGAN THREAT INTELLIGENCE KNOWLEDGE GRAPH DENGAN ENTITY EXTRACTION TER…

This research aims to address complex cybersecurity challenges, namely Advanced Persistent Threat (APT), by developing a Threat Intelligence Knowledge Graph. The study proposes a Natural Language Processing based approach to extract entities and relationships from APT reports, using a pre trained Deepseek model. This model was fine-tuned specifically for Named Entity Recognition (NER) and Relat…

DETEKSI SERANGAN DENIAL OF SERVICE (DOS) DALAM JARINGAN 6LOWPAN DENGAN METODE…

Jaringan Internet of Things (IoT), khususnya 6LoWPAN yang mengadopsi protokol routing RPL, sangat rentan terhadap ancaman keamanan seperti serangan Denial-of-Service (DoS). Serangan UDP Flooding secara spesifik dapat mengganggu ketersediaan layanan dan menguras sumber daya terbatas node. Penelitian ini mengusulkan dan mengevaluasi kinerja metode Trust-based detection untuk mendeteksi serangan D…