Jurnal Teknik Informatika dan Sistem Informasi
Not a member yet
499 research outputs found
Sort by
Klasifikasi Lukisan Karya Van Gogh Menggunakan Convolutional Neural Network-Support Vector Machine
Get PDFPainting is a work of art with various strokes, textures, and color gradations so that a painting that is synonymous with beauty is created. The various paintings created have characteristics, such as the paintings by Van Gogh, which have tightly arranged strokes, creating a repetitive and patterned impression. This study classifies paintings by Van Gogh or not by using the VGG-19 and ResNet-50 feature extraction methods. The SVM method is used as a classification method with two optimizations, namely random and grid optimization in the linear kernel. The data set used consisted of 124 Van Gogh paintings and 207 paintings by other painters. The use of VGG-19 feature extraction using grid optimization has the best value of 93,28% using the use of random optimization which has a value of 92,89%. The use of ResNet-50 using grid optimization with the best value of 90,28% using the use of random optimization which has a value of 90,15%. The extraction feature of VGG-19 is better than ResNet-50 in paintings by Van Gogh or not
The Implementasi Metode On-Page Search Engine Optimization untuk Meningkatkan Peringkat Website sebagai Hasil Pencarian Google
No full textCurrent development of the internet world has been growing rapidly, especially in the field of website. People use search engines to find the news or information they needed on a website. One of the many indications of the success of a website is traffic. Traffic could be received from various factors, one of which is website rank in Search Engine Result Page (SERP). To improve the SERP, SEO methods are required. This research will implement SEO to website especially on the image, and then analyzed by using a tester tools, for example SEOptimer, Pingdom Tools, and SEO Site Checkup. After the website has been optimized, tested with the same tester tools. From the research results can be seen whether image optimization can affect SERP
Evaluasi Kematangan Sistem Informasi Untuk Keselarasan Bisnis pada Perusahaan Manufaktur
Get PDFThis study aims to evaluate the alignment of the application of information technology (IT) with the company's business practices. This study uses COBIT 4.1. to assess the maturity of technology adoption and to explore factors that hinder the alignment of IT implementation with the business. The maturity level of technology application describes IT management in the company's overall business activities. The higher the maturity level, the clearer and more structured the role of IT and business will be. This research uses a case study method at PT. SAE (in Central Java Province). The result of this research is that PT. SAE has reached the defined process level. At this stage, the company already has standard IT management procedures, but not all business activities and not yet detailed. This problem is due to lack of strategic support from top management to achieve business goals with the help of IT. Therefore, the company needs to improve the function and role of the head of the IT department at PT. SAE
Deteksi Serangan Spoofing Wajah Menggunakan Convolutional Neural Network
Get PDFFacial recognition-based biometric authentication is increasingly frequently employed. However, a facial recognition system should not only recognize an individual's face, but it should also be capable of detecting spoofing attempts using printed faces or digital photographs. There are now various methods for detecting spoofing, including blinking, lip movement, and head tilt detection. However, this approach has limitations when dealing with dynamic video spoofing assaults. On the other hand, these types of motion detection systems can diminish user comfort. As a result, this article presents a method for identifying facial spoofing attacks through Convolutional Neural Networks. The anti-spoofing technique is intended to be used in conjunction with deep learning models without using extra tools or equipment. Our CNN classification dataset can be derived from the NUAA photo imposter and CASIA v2. The collection contains numerous examples of facial spoofing, including those created with posters, masks, and smartphones. In the pre-processing stage, image augmentation is carried out with brightness adjustments and other filters so that the model to adapt to various environmental conditions. We evaluate the number of epochs, optimizer types, and the learning rate during the testing process. The test results show that the proposed model achieves an accuracy value of 91.23% and an F1 score of 92.01%
Sistem Manajemen Pembelajaran Lokal untuk Meningkatkan Pemahaman Belajar Mahasiswa
Get PDFSistem Manajemen Pembelajaran merupakan salah satu perangkat penting yang digunakan di sekolah dan kampus untuk meningkatkan kemampuan dan hasil studi siswa. Ketersediaan server web dan jaringan komputer yang cepat, handal, murah, dan mudah diakses serta dipadukan dengan Sistem Manajamen Pembelajaran atau Learning Management System (LMS) dapat membantu mahasiswa untuk mengikuti proses perkuliahan dengan lebih baik. Web server diimplementasikan menggunakan virtual machine (VM) Proxmox pada komputer di laboratorium komputer di program studi. Komputer yang digunakan memiliki spesifikasi standar (bukan server), seperti Intel Processor i3, HDD 256GB, dan memori 2GB. Kualitas web server diukur menggunakan Apache Bench dan Web Server Stress Tool. Hasil simulasi menggunakan Apache Bench diperoleh waktu yang diperlukan untuk menyelesaikan 1.000 concurrent request adalah sebanyak 13.823 milidetik. Meskipun belum optimal, hasil ini sudah mendekati kondisi ideal, yaitu kurang dari 10 detik. Server diimplementasikan secara virtual agar dapat dengan mudah dideploy ke dalam server lokal lainnya di fakultas-fakultas lain. Hasil penelitian menunjukkan bahwa kinerja server masih perlu ditingkatkan, baik dengan meningkatkan kinerja agar tercapai kondisi ideal mengingat kebutuhan mahasiswa dan dosen akan terus meningkat. Kualitas jaringan pun perlu diperhatikan, seperti penggunaan firewall, antivirus, dan aplikasi lainnya yang bisa mempengaruhi kualitas respon yang diterima oleh user. Diversifikasi media pembelajaran juga perlu digunakan agar hasil penelitian dapat juga mencakup kondisi dan protokol yang berbeda
Pengembangan Sistem Informasi Manajemen Supplier dan Barang dengan Extreme Programming
Get PDFThe case study was taken from one of trading companies in Lampung. The company sells Muslim fashion products from a large number of suppliers. Suppliers data is recorded in detail manually, as well as products recorded. Manual data collection can result in recording errors, data easily tucked, or not recorded. This research develops an information system to help the company in data collection of suppliers and products automatically based on web using Laravel as a framework. This system is built using extreme programming methods and has features that focus on collecting suppliers, products, and product shipments. The results of system testing using the black box testing method shows that the system has fulfilled functional requirements and user needs.
Keywords— Management Information System; Product; Supplier
K-Nearest Neighbor Berbasis Particle Swarm Optimization untuk Analisis Sentimen Terhadap Tokopedia
Get PDFTokopedia is a popular marketplace used by e-commerce in Indonesia. Customers’ perception of Twitter towards Tokopedia can be used as an important source of information and can be processed into useful insights. Sentiment analysis is a solution that can be used to process the customers’ perception using K-Nearest Neighbor based on Particle Swarm Optimization. The purpose of this study is to classify customers’ perception based on positive, neutral, and negative classes. The test is carried out with four different scenarios and k values which are evaluated using a confusion matrix. Evaluation results showed the distribution of the dataset is 90:10 and the value of k = 1 is the best evaluation result, which is 88.11%. The feature selection was used for results by using Particle Swarm Optimization. The Particle Swarm Optimization used 20 iterations and 10 particles. It produced 97.9% the best evaluation accuracy, 96.17% precision, 96.62% recall, and 96.39% f-measure
Penerapan Estimasi Posisi dan Tracking Wajah Pada Sistem Presensi Mahasiswa
Get PDFThe current presence system can be done with a computerized system, one of which is the face biometric system. This study focuses on the application of position estimation and tracking based on clustering on people's faces to determine the position in three dimensions. Position estimation can be obtained by making a kernel that is ready to be used to predict three-dimensional coordinates of faces based on two-dimensional coordinates of two images. Position estimation can be done by utilizing the Machine Learning algorithm family. In this study, Least Absolute Shrinkage and Selection Operators (LASSO) is used to perform the position estimation. Meanwhile, clustering in this study uses the K-Means algorithm. Based on the test results, the kernel error obtained in estimating the face location is 9.23 cm. The tracking accuracy of an object based on clustering is 100%
Pengambilan Keputusan Strategis Pemasaran di Perguruan Tinggi dengan menggunakan Analytics Hierarchy Process (AHP)
Get PDFIn marketing strategies, it is very important to consider various variables in decision making. With intense competition in higher education, it is important to determine a more appropriate and effective marketing strategy to get prospective students. For this reason, it is necessary to investigate what factors influence prospective students in determining tertiary institutions. This study reveals that the most influencing factors for prospective students in determining academic institutions are the ease of getting a job after graduation, followed by some other supporting factors, such as: scholarships, campus reputation, spiritual activities, and campus lifestyle
Sistem Pengenalan Spesifikasi Mobil pada Showroom Berbasis Haar-Like Features
Get PDFChanges in science and technology have affected the structure of societies and have led to rapid change in human profile. In order to adapt to the changing human profile, reforms in advertising as well as scientific and technological enrichment in advertisement environments have become necessary. This study aims to investigate the impact of advertisement materials developed with augmented reality (AR) technology on car specification presentation and attitudes towards the advertisement, and to determine their attitudes towards AR applications. In this study, AR application was developed using haar-like features method for marker detector. A quasi-experimental design was used in which intact showroom at two different location, consisting of a total of one hundred customers, were randomly assigned to either the experimental or control group. The experimental group researched their selected car using AR technology, while the control group researched their selected car using traditional methods and the help of salesman. Customers in the experimental group were found to have higher understanding and slightly faster to learn about the car than those in the control group. In addition, the results revealed that the customers were pleased and wanted to continue using AR applications in the future. They also showed no signs of anxiety when using AR applications. In addition, it was found that advertisement achievements and attitudes of the customers in the experimental group showed a positive, significant and intermediate correlation