INTEGRASI DECISION MAKING PADA SISTEM KERAMBA JARING APUNG (KJA) OTOMATIS DAN…

Indonesia, as an archipelagic country, continues to strive to increase national fisheries production through technological transformation, one of which is the development of Floating Net Cages (KJA). However, conventional KJA systems remain vulnerable to changes in water quality due to environmental dynamics. To address this issue, this study developed an autonomous KJA system integrated with s…

SISTEM PENDETEKSIAN PENYAKIT PNEUMONIA PADA CITRA RONTGEN DADA MENGGUNAKAN ME…

Pneumonia is one of the lung diseases that is often identified through chest X-ray images, but manual diagnosis requires high time and skill. Therefore, this study aims to improve the efficiency and accuracy of pneumonia diagnosis through the application of deep learning technology. The CNN method was chosen due to its ability to automatically extract features from medical images. RetinaNet, as…

CLUSTERING ARTIKEL ILMIAH BERBAHASA INDONESIA MENGGUNAKAN ALGORITMA PARTITION…

A scientific article is a type of written work by a researcher after successfully conducting research in a particular field, which is arranged systematically based on writing rules. Each scientific article contains important information from various scientific fields, one of which is computer science. In this research, an automatic clustering software for scientific articles in Indonesian was b…

PERBANDINGAN PERFORMA EVENT-DRIVEN MICROSERVICE DENGAN POLA EVENT NOTIFICATIO…

A software system can be said to be functional if it can handle user requests quickly and correctly. As the number of users on the system increases, there is a certain limit to which the system can handle the processed requests. Microservice is an architecture designed to cope with high usage, because it is designed to divide the user request process into smaller focuses. Event-driven is one of…

KLASIFIKASI JUDUL BERITA HOAX MENGGUNAKAN METODE SUPPORT VECTOR MACHINE (SVM)…

In recent years, the spread of fake news or hoaxes has become a serious problem that can influence public opinion. Therefore, this research aims to determine the performance of the Support Vector Machine (SVM) and Synthetic Minority Oversampling Technique (SMOTE) algorithms for classifying. The Support Vector Machine (SVM) approach was chosen because of its ability to handle classification prob…

VISUALISASI SERANGAN TROJAN METASPLOIT PADA ANDROID DENGAN METODE K-MEANS

K-Means clustering is a tool used to determine the cluster structure of a dataset identified by its strong similarity to other clusters or its strong difference from other clusters. In another paper, it is stated that the working method of the K-Means algorithm requires the use of centroids as cluster prototypes and previous cluster results as its output. The dataset originates from the COMNETS…

DETEKSI KEPADATAN KENDARAAN MENGGUNAKAN METODE K-NEAREST NEIGHBOR DIOPTIMASI …

Growth factors such as economic, social, political, and cultural developments have become one of the traffic problems in Palembang City that has caused the occurrence of traffic density. To avoid getting stuck in traffic density, it is necessary to detect the density of the vehicle. The study uses the Closed-Circuit Television (CCTV) version of Pan, Tilt, and Zoom (PTZ) that can record various …

DETEKSI SERANGAN SQL INJECTION MENGGUNAKAN DEEP NEURAL NETWORKS

SQL Injection has been classified by OWASP (Open Web Application Security Project) as one of the most damaging attacks in the past 15 years. This research aims to develop an IDS (Intrusion Detection System) capable of detecting SQL Injection attacks through HTTP POST Requests. The study employs a neural network-based computational model known as DNN (Deep Neural Networks), using tabular data th…

MENGUKUR KINERJA CLUSTERING MENGGUNAKAN ALGORITMA K-MEANS DAN K-MEDOIDS DENGA…

Clustering is one of the most widely used techniques in data processing that can be used to find patterns and characteristics in data. K-Means and K-Medoids are the most widely used clustering algorithms because they are simple, easy to implement, and relatively fast. Although proven to have good performance with high accuracy and efficiency for large data, previous studies have shown differenc…

PREDIKSI PERTUMBUHAN BERAT IKAN LELE DALAM BUDIDAYA AKUAKULTUR DENGAN MENGGUN…

The weight growth of fish is a fundamental aspect of aquaculture, serving as a pivotal indicator of feeding efficacy and pond environmental management. This study aims to develop a predictive model for the growth of catfish weight using the Random Forest Regression algorithm approach. The research method involves the utilization of a dataset comprising environmental parameters such as temperatu…

TEKS GENERASI PUISI INDONESIA MELALUI PENDEKATAN FINE-TUNING DENGAN PRETRAINE…

Text generation, sebagai sub-bidang utama dalam pengolahan bahasa alami (NLP), telah menjadi fokus utama dalam dekade terakhir. Penerapan teknologi text generation telah meluas di berbagai domain aplikasi, termasuk dalam bidang kreatif seperti puisi. Teks generasi puisi menjadi salah satu tantangan karena memadukan model pengetahuan linguistik, kreativitas, dan orisinalitas untuk menghasilkan p…

PERANCANGAN DATABASE SISTEM MONITORING SENSOR PEMANTAU TANAMAN PADA SMART FAR…

Smart Farming mengacu pada penerapan teknologi informasi dan komunikasi dalam kegiatan pertanian untuk meningkatkan efisiensi, produktivitas, dan keberlanjutan. Penerapan IoT dalam bidang pertanian ini adalah untuk mengotomatisasi semua aspek pertanian guna memudahkan dan meningkatkan efektivitas prosesnya. Projek ini dirancang untuk menyimpan dan mengelola data yang dihasilkan oleh sensor-sens…

RANCANG BANGUN SISTEM POWER SUPPLY BERBASIS SOLAR PANEL PADA ALAT PEMANTAU TA…

Pertumbuhan teknologi dalam bidang pertanian semakin pesat dengan diperkenalkannya konsep Smart Farming. Penelitian ini bertujuan untuk merancang dan membangun sistem power supply yang menggunakan solar panel sebagai sumber energi pada alat pemantau tanaman di lingkungan Smart Farming. Solar panel dipilih sebagai sumber daya energi utama untuk mendukung keberlanjutan dan efisiensi operasional a…

 IMPLEMENTASI PENGENALAN WAJAH PADA MIKROKONTROLLER DENGAN METODE WEIGHTLESS…

In this study, the only parts of the face used were the eyes and mouth. Apart from that, data in facial recognition is also limited, namely a distance of 40-50cm from the camera. This facial recognition is done on a microcontroller. WNN was chosen because of its ability to reduce memory usage, while to measure similarity using the immediate scan method. Immediate scan was chosen because of its …

DETEKSI PELANGGARAN KENDARAAN PADA ZEBRA CROSS MENGGUNAKAN SUPERVISION DAN PE…

In this study, the You Only Look Once Version 8 (YOLOv8) algorithm was used to detect and use the Supervision library to calculate the number of vehicles violating zebra crossings. The Two Dimensional Convolutional Neural Network (2DCNN) method was used to determine the level of violations with the parameters zero, low, medium, and high. This research uses a vehicle image dataset totaling 3592 …

SIMULASI SUPPLY CHAIN MANAGEMENT (SCM) PADA PERDAGANGAN SPAREPART MOBIL MENGG…

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vii, 126 hlm.; Ilus.; 29 cm

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T1395812024

PENERAPAN RANDOM FOREST CLASSIFIER UNTUK DETEKSI PDF MALWARE PADA LAYANAN AGR…

Garba Rujukan Digital (GARUDA) is a Service Provider whice provides information and means which has been produced by research academics in Indonesia, Currently the service (GARUDA) Provides data in file room. Portable Document Fortmat (PDF). Whice PDF is ussually for fast and easy information sharing service, Howaver many people are irresponsible and actually tak and advantage of this to commit…

DETEKSI MALWARE PADA FILE PORTABLE DOCUMENT FORMAT (PDF) DENGAN BYTE FREQUENC…

Portable Document Format (PDF) files as well as files in several other formats such as (.docx, .hwp and .jpg) are often used to conduct cyber attacks. According to VirusTotal, PDF ranks fourth among document files that are frequently used to spread malware in 2020. Malware detection is challenging partly because of its ability to stay hidden and adapt its own code and thus requiring new smarter…

DETEKSI LESI PRA-KANKER SERVIKS PADA CITRA KOLPOSKOPI MENGGUNAKAN CONVOLUTION…

Deteksi lesi pra-kanker serviks memegang peran krusial dalam menganalisis citra medis untuk diagnosa yang tepat. Keterbatasan pengamatan visual mendorong perlunya deteksi berbasis komputer. Penelitian ini mengusulkan model deteksi lesi pra-kanker serviks menggunakan Convolutional Neural Network (CNN) dengan arsitektur YOLO, memberikan akurasi yang tinggi. Dua dataset digunakan, pertama dari IAR…

KLASIFIKASI JENIS EMOSI MENGGUNAKAN DEEP LEARNING BERDASARKAN SINYAL ELECTROE…

This research focuses on in-depth exploration and analysis of the application of three types of deep learning, namely Convolutional Neural Networks (CNN), Bidirectional LSTM (BI-LSTM) and Deep Neural Network (DNN). The three models are trained with the same parameters, consisting of three layers, using the Relu activation function, and applying 1 dropout level. In order to compare the performan…

OPTIMASI ALGORITMA NAÏVE BAYES MENGGUNAKAN ANT COLONY OPTIMIZATION UNTUK KLA…

Stroke is a dangerous disease that is included in the 10 deadliest diseases in Indonesia, with a very high mortality rate. To detect strokes, CT scans and MRI examinations are usually used. However, this examination is expensive and is often only carried out after someone has had a stroke. As a result, medical treatment can be delayed and the patient's condition can worsen. Therefore, it is ver…

DETEKSI PENYAKIT DIABETIC RETINOPATHY PADA CITRA RETINA MENGGUNAKAN RETINANET…

This research aims to develop a method for detecting Diabetic Retinopathy (DR) in retinal images using the RETINANET architecture with a ResNet-50 backbone. DR is a serious complication in individuals with diabetes mellitus, leading to damage to the blood vessels in the retina and, in severe cases, blindness. ResNet (Residual Network) is chosen as the neural network architecture to deepen the m…

PURWARUPA SISTEM MONITORING PEMBERI PAKAN AYAM PADA KANDANG AYAM PINTAR

One of the important things that must be considered when raising chickens is feeding to determine the level of chicken production. Sudden or other activity over a long period of time often disrupts regular feeding. Therefore, a regular monitoring system for feeding is very necessary for breeders at this time. Feeding is carried out twice a day, namely in the morning at 07:00 WIB and in the afte…

 IMPLEMENTASI METODE FORWARD KINEMATIK SEBAGAI SISTEM KENDALI PERGERAKAN LEN…

In research on this project developed a U-Arm model robot with three degrees of freedom using Forward Kinematic calculations. Kinematic Forward is a mathematical calculation process to obtain the angles of the three joints on the robot arm from known (x,y,z) end-effector coordinates and the length of each link. In this robotic arm there are 4 links, with a length of Link1 = 8.2 cm, a length of …

IMPLEMENTASI PROTOKOL MQTT PADA SISTEM MONITORING KEBUN FASILKOM UNIVERSITAS …

Kemajuan teknologi dapat dirasakan hampir di setiap aspek kehidupan sehari-hari, termasuk juga pada bidang pertanian. Selama ini kondisi perkebunan hanya dipantau secara manual kini dapat dipantau otomatis, sehingga dapat mempermudah dalam pemantauan kondisi kebun. Projek ini mengusulkan suatu sistem pemantauan kondisi kebun dengan menerapkan protokol komunikasi MQTT berbasis smart farming. Mes…

SIMULASI PERGERAKAN BARANG PADA SUPPLY CHAIN MANAGEMENT UNTUK STUDI KASUS SPA…

Supply Chain Management melibatkan beberapa pihak yang berperan dalam proses pengiriman barang atau jasa sehingga memerlukan transparansi terkait catatan transaksi bagi semua pihak yang terlibat dengan tujuan menghindari pemalsuan data transaksi. Untuk mengatasi masalah ini, penelitian ini bertujuan membangun sistem keamanan menggunakan metode Delegated Proof-of-Stake (DpoS). Kumpulan blok yang…

PREDIKSI KEPADATAN KENDARAAN MENGGUNAKAN METODE K-NEAREST NEIGHBORS YANG DIOP…

Traffic congestion remains a primary concern in the transportation sector and continues to pose challenges for everyday activities. To address this issue, a system capable of detecting vehicle density levels is required. This research leverages cutting-edge technology, such as image-based methods utilizing CCTV camera sensors to monitor multiple roadways simultaneously, with the hope of making …

PURWARUPA DETEKSI KEDATANGAN KERETA API MENGGUNAKAN SENSOR GETAR DAN SENSOR G…

A railway crossing is a crossing where a railway line meets a road, either a highway or other footpath. Many cases of accidents are caused by a lack of guarding and not being equipped with train doorstop facilities, so there is a need for innovation to increase progress, especially the level of safety to prevent accidents. This technology detects the presence of trains at track guard stations (…

KRIPTOGRAFI AES DAN AUTENTIKASI HMAC UNTUK SISTEM PENGAMANAN PESAN TEKS BERBA…

In the rapidly evolving communication era, the security of text messages has become crucial. The use of efficient and secure cryptographic algorithms, considering the limitations of device resources, is an urgent step to protect user information from unauthorized parties. This research focuses on the integration of the AES cryptographic scheme and HMAC authentication. The goal is to effectively…

OPTIMASI FIS TSUKAMOTO DALAM MEMPREDIKSI CURAH HUJAN DI KABUPATEN BANYUASIN M…

Indonesia, as a tropical climate country with high rainfall, heavily relies on accurate rainfall predictions for various critical purposes, including water resource management and extreme weather impact mitigation. One commonly used method is the Tsukamoto Fuzzy Inference System (FIS). However, implementing the Tsukamoto FIS often leads to high error rates. This is attributed to the difficulty …