Jurnal Teknik Informatika dan Sistem Informasi
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Augmentasi Data Pengenalan Citra Mobil Menggunakan Pendekatan Random Crop, Rotate, dan Mixup
Get PDFDeep convolutional neural networks (CNNs) have achieved remarkable results in two-dimensional (2D) image detection tasks. However, their high expression ability risks overfitting. Consequently, data augmentation techniques have been proposed to prevent overfitting while enriching datasets. In this paper, a Deep Learning system for accurate car model detection is proposed using the ResNet-152 network with a fully convolutional architecture. It is demonstrated that significant generalization gains in the learning process are attained by randomly generating augmented training data using several geometric transformations and pixel-wise changes, such as image cropping and image rotation. We evaluated data augmentation techniques by comparison with competitive data augmentation techniques such as mixup. Data augmented ResNet models achieve better results for accuracy metrics than baseline ResNet models with accuracy 82.6714% on Stanford Cars Dataset
Penerapan Metode Random forest untuk Analisis Risiko pada dataset Peer to peer lending
Get PDFAbstract — Peer to peer lending (P2PL) is one of financial technology (fintech) that develops very fast in society. On the other side, P2PL project has many risks. The risk of P2PL project can be analyzed using classification. There are two conditions of a loan, namely a good loan and a bad loan. This study uses two methods to analyze a P2PL dataset, that are Random Forest method and Logistic Regression method. Data is taken from P2PL loan dataset provided by Data World, which contains 887.379 entries with 74 features. The result of experiments is a model that can be used to predict and classify a P2PL loan as a good or bad one.
Keywords— Fintech; Logistic Regression; Peer to peer lending; Random fores
Pengembangan Sistem Informasi Tukar Barang Untuk Pemanfaatan Barang Tidak Terpakai dengan Flutter Framework
Get PDFHumans in general can not be separated from the consumptive lifestyle. Problems related to ownership of goods that are no longer in use are increasing. These items are stored and never used again by the owner. Most of these items do not have high sales value because of the condition of used goods or for some people the goods are unused. The item can be valuable in the hands of those who need it. Problem occur when information on the unused item does not reach to the person in need. This research attempt to develop an exchanging unused goods system without a payment process. Each item will be worth one token, this is done to prevent system exploitation, this differentiate the proposed system with other bartering system. Furthermore, the system was developed to be a portal in providing information and facilitating people who will barter their goods that are not used. For the process of giving and taking goods will be done separatel
Document Digitalization and Scoring System of Students Final Project
Get PDFThe Faculty of Information Technology is one of the faculties at Maranatha Christian University Bandung. One of the study programs in the Faculty of Information Technology is Informatics Engineering Department. Nowadays, the management of Final Project and Final Project Seminar is still managed manually. In this research, we did this research to digitalize any documents and scoring grades by using this system for student’s final project. This causes the data management process related to the process of recording and completing the final project relying only on Microsoft Excel. In this research, an analysis and application design carried out to assist the process of recording the journey of students in completing the Final Project Assignment. The result from this research is an application prototype that can be used by course coordinators to manage grades of final project and final project seminar. This application is a web-based, built using PHP with Firebase database
Monitoring Kualitas Air Tambak Udang Menggunakan NodeMCU, Firebase, dan Flutter
No full textAbstract — Based on the prior study, some shrimp ponds went bankrupt due to pond water quality monitoring is still not good. Many shrimps get sick and die for water quality monitoring still relies on laboratory checks and is rarely done because of financial problems. The purpose of this study is to develop a monitoring system of shrimp pond water quality especially for vannamei shrimp using an Internet of Things (IoT)-based device with a data logging method. The system role is to monitor the water condition, record sensor data, and provide water quality status of shrimp ponds based on water movement, turbidity of water, and water temperature. The data logger device uses a microcontroller named NodeMCU ESP8266 and two sensors namely the LDR sensor and the water temperature sensor dallas 18b20. The devices are connected to the internet and send all water quality monitoring data to Google's database service called Firebase. The results of the water quality monitoring can be accessed through an Android-based monitoring application that is built using Flutter framework which contains information.
Keywords— Flutter Android; Internet of Things; Monitoring System; Water Quality  
Faktor Kesuksesan Sistem E-Office Rumah Sakit dalam Upaya Meningkatkan Kepuasan Pengguna
Get PDFNowadays, hospital industries are aware of the importance of technological innovation that needs to be managed properly to drive business continuity and success in the future. The development of technological innovation in hospital industries has increased over time. This happens because of the desire to compete with each other continuously by utilizing technological innovation. This study has observed the existing information systems in the hospital, where the business process of the information system focuses on the hospital's internal correspondence process. This information system is called an e-office which is intended for the National Center General Hospital (RSUPN) Dr. Cipto Mangunkusumo. This study aims to determine what factors influence the successful implementation of the e-office system as seen from the evaluation of user satisfaction. Besides that, this study observed what efforts were made by the PT. Vidya Sentra Utama (Sevima) to create a successful and usable e-office system, where e-office is a large and complex system that includes more than 77 divisions with different business processes. Data collection methods used were interviews, observation, and document analysis. This study contributes to Sevima's knowledge of what factors of success need to be measured to determine user satisfaction and what needs to be done by Sevima's agile team to developing information systems and provide references for further research to evaluate an information system
Prediksi Risiko Perjalanan Transportasi Online Dari Data Telematik Menggunakan Algoritma Support Vector Machine
Get PDFThe ride-hailing service is now booming because it has been helped by internet technology, therefore many call this service online transportation. The magnitude of the potential for growth in online transportation service users also increases the risk of user satisfaction which could have declined therefore the company is increasing in its service. Both in terms of application and services provided by partners/drivers of the company. During each trip, the online transportation application will record device movement data and send it to the server. This data set is usually called telematic data. This telematics data if processed can have enormous benefits. In this study, an analysis will be conducted to predict the risk of online transportation trips using the Support Vector Machine (SVM) algorithm based on the obtained telematic data. The data obtained is telematic data so it must be processed first using feature engineering to obtain 51 features, then trained using the SVM algorithm with RBF kernel and modified C values. Every C value that is changed will be used K-Fold cross-validation first to separate the testing data and training data. The specified k value is 5. The results for each trial obtained accuracy, Receiver Operating Characteristic (ROC) and Area Under the Curves (AUC), for the best that is at C = 100 while the worst at C = 0.001
Deteksi Dini Status Keanggotaan Industri Kebugaran Menggunakan Pendekatan Supervised Learning
Get PDFIn the fitness industry, the number of members is a major factor for the sustainability of its business. The ability of managers and trainers to detect members who represent traits to quit membership is critical. Four supervised learning classification methods like Support Vector Machine, Random Forest, K-Nearest Neighbor, and Artificial Neural Network were used to generate early detection using two variants of datasets that have different amounts of data. Classification results are separated into three different zones, which are Green Zone, Yellow Zone, and Red Zone. Artificial Neural Network methods using backpropagation training give 99.90% of accuracy on a dataset which has more amount of data. The evaluation has been done using the confusion matrix and AUC-ROC curves
Penerapan Metode SCRUM dalam Pengembangan Sistem Informasi Layanan Kawasan
Get PDFThe development of technology is very influential in the business processes of an organization to be able to carry out its duties and functions. As a government agency engaged in research, the Indonesian Institute of Sciences (LIPI) needs to make organizational changes to support its vision as a world-class research institution. One of the first steps taken is reorganizing and redistributing employees that have a high impact on the business process of service to employees because the supporting resources are placed corporately and no longer in the work units. To deal with this problem, we developed a Regional Service Information System using the Scrum methodology. The output is a web-based software that facilitates service requests needed by employees, ranging from service submission, processing by the Area Manager and Central Manager, to being received again by the service requester. The Regional Service Information System is expected to be a solution to the problems that arise as a result of the redistribution of employees at LIPI and to improve the effectiveness of employees as the research supporting resources
Pemanfaatan Latent Semantic Indexing untuk Mengukur Potensi Kerjasama Jurnal Ilmiah Lintas Universitas
Get PDFAbstract— This paper presents a cooperation recommendation strategy between higher education institution. The recommendation is based on the contents of journals published in a university journal portal. As a case study, we concentrate our approach for the journals with information technology themes. All journals from 10 reputed universities will be compared by using keywords and the contents of the journal themselves. A partnering recommendation list is built by utilizing Latent Semantic Indexing (LSI). LSI technique is used to reduce the curse of dimensionality from the original data set and to generate topical analysis from all journals as semantic representation for each journals. Topic modeling is used to calculate the categorical similarity in the data set of each university journal and a search query. After all categorical similarities have been calculated, an average value of journal topics coherence is used to construct the final recommendation of partner candidates. This approach ensure that the final recommendation is based on the interest of each university rather than the frequencies of matched keywords in each journal