Klasifikasi Citra Histopatologi Kanker Payudara menggunakan Data Resampling Random dan Residual Network

Data imbalance between classes is one of the problems on image classification. The data in each class is not equal and has a relatively large difference generated in less than optimal classification results. Ideally, the data in each class is equal or have a slight difference. This article discusses the classification of the histopathology breast cancer image. The data consist of 8 classes with unbalanced data. The method for balancing the data in each class uses random resampling which is applied to training data only. The data used from BreakHist with magnifications of 40x, 100x, 200x, and 400x . The classification uses Residual Network (ResNet) 18 and 50. The best results are obtained on images with a magnification of 400x. Classification results using ResNet18 has an average accuracy of 79.82%, an average precision of 71.39%, and an average recall of 82.37%. Meanwhile using ResNet50 showed an average accuracy of 81.67%, average precision of 78.41%, and an average recall of 82.91%.

Sistem Jaminan Mutu dan Prediksi pada Rantai Pasok Ikan dari Perikanan Sungai

The supply chain system with quality assurance and fish prediction has important role for producers and consumers regarding the need for fresh fish to be consumed in certain size. The research aims to design quality assurance and predictive model for the fish supply chain system so that it is always available to consumers. The Fuzzy Tsukamoto method approach is used to design prediction model for required fish based on the fish provided by fishermen, and Fuzzy Mamdani approach is used to design model for quality assurance of fish needs that consumers need every week and month. This supply chain system is designed with upstream fishermen and fish sellers and as downstream fish retailers and fish consumers, while data analysis uses quantitative data sourced from fishermen and fish sellers and fish consumers. The prediction system and fish quality assurance provide output as a material for decision making in order to obtain information for agents and consumers that they can provide and supply fish as needed. A case study was conducted on the river fishery sector in Kota Bangun District.

Desain Business Intelligence untuk Manajemen Rumah Sakit

Organizational management, as well as hospital management, could not work precisely without defining the performance indicators to control all business process. This situation encourages the need for information and data analysis availability. BI includes applications, infrastructure, tools and practices that enable organizations to access and analyze data and information to improve and optimize the decisions and organization performance. BI has the potential to improve the quality, efficiency and effectiveness of hospital health services as well. The objective of this study was to design business intelligence prototype for the hospital. BI design was carried out with a Business Intelligence Roadmap approach which has 6 main stages, namely: (1) Justification, (2) Planning, (3) Business Analysis, (4) Design, (5) Construction and (6) Deployment. Data were collected from hospital activities includes registration, Electronic Medical Record (EMR) in the Imaging, Laboratory, Pharmacy, Operating Theater and Medical Check-Up departments activities. Designing BI was preceded by identifying technical and non-technical needs, then continued by designing BI itself. BI roadmap approach was used for this propose. Technical requirements for designing BI include hardware and software infrastructure readiness, while non-technical requirements include Business Analysis which consists of Project Requirements Definition, Data Analysis, Application Prototyping and Metadata repository Analysis. Designing BI itself includes: Designing a multidimensional database and designing ETL. The user interfaces for BI was shown in the Performance Dashboard, which allows organizations to track all aspects of their daily business activities and performance.

Theory of Reasoned Action dan Literasi Teknologi terhadap Adaptasi Perubahan Teknologi

One of the company's goals is business continuity. Companies can maintain their survival if supported by human resources who are also ready to follow the demands of changes in their environment. The COVID-19 pandemic is bringing very significant changes in human life today. This study aims to identify the influence of employee profiles and attitudes, subjective norms and information technology literacy on the willingness to adapt to the necessity of using information technology, especially during this pandemic time. This study uses the Theory of Reasoned Action approach as a theoretical basis, electronic questionnaires as a data collection method, and structural equation modeling to observe causal relationships between variables. The results of this study found that the model in this study had met the criteria for the model-fit test, and the only variable affecting employee attitudes was age. Subjective norm variables and information technology literacy have affected employees' intentions to adapt to information technology. The results of this study can be used by companies to design training programs that aim to improve information technology literacy and skills, especially for older employees.

Perbandingan Metode Pengujian Teori TAM Pada Penerimaan Teknologi E-Money di Pontianak

As a researcher, one could analyze Technology Acceptance Model (TAM) by utilizing several methods. Such methods are summated scales regression, factor analysis score regression, covariance-based SEM, and PLS-based SEM. However, there exists less effort to compare the difference in estimates of these methods in a single dataset. The differing estimates could therefore lead to type I statistical errors. This research purpose was to compare these methods objectively with a single dataset. The dataset tested was derived from e-money research in Pontianak, with 280 data collected at refueling stations during May, June, July 2020. This research contributes to proofing how method choices will produce a differing interpretation even though tested on the same dataset. Summated scale regression and PLS-based SEM produced similar estimation results but differed from factor analysis score regression and covariance-based SEM. Further testing implies that the different estimates are due to the elimination of indicators, which is method-specific. Therefore, method justification, completeness of research report, and research context are crucial for accounting limitation of the method chosen. PLS-based SEM was a suitable method for data utilized with 50,3% variability in usefulness, 58% variability in intention to use is accounted for from the research model.

Analisis Kepuasan Pengguna Sistem Informasi Administrasi Rumah Sakit (SIARS) dengan Model Delone and Mclean

The Mother and Child Srikandi IBI Jember Hospital is one of the private hospitals in Jember district. Currently the Mother and Child Hospital uses the Hospital Administration Information System (HAIS) in providing services. There are several problems related to HAIS, including data that is not stored properly, the information generated by the hospital information system is still incomplete and users still have difficulty inputting data. The purpose of this study is to analyze system quality, information quality and service quality on user satisfaction. This type of research is quantitative, where there are 3 independent variables and 1 dependent variable. The results obtained are there is a moderate and unidirectional significant relationship of 0.519 between system quality and user satisfaction. There is a moderate and unidirectional significant relationship of 0.425 between information quality and user satisfaction. There is a strong and unidirectional significant relationship of 0.780 between service quality and user satisfaction. From these results it can be concluded that system quality, information quality and service quality have an influence on HAIS user satisfaction

Usability Evaluation Aplikasi Berbasis Website dengan Menggunakan Metode Importance Performance Analysis

The Ministry of Environment and Forestry provides an appeal to waste banks to use online systems in managing waste bank activities. The online system referred to is the online waste management system through the banksampah.id account. However, the level of activity of garbage banks in using the online system is relatively low (36.46%). Besides, in 2019, the Bandung City DLH has used banksampah.id as an application in evaluating the performance of waste banks. Therefore, this study was conducted aiming to evaluate the level of usability of banksampah.id so that it can be known aspects of banksampah.id that need to be improved. Evaluation of usability level is carried out using the Importance Performance Analysis (IPA) method. The usability evaluation results show that there are 7 usability attributes in the "Concentrate Here" category, 10 usability attributes in the "Keep Up The Good Work" category, 8 usability attributes in the "Low Priority" category and 9 usability attributes in the "Possible Overkill" category. Improvements to usability banksampah.id focus on 7 attributes categorized as "Concentrate Here" namely (1) availability of procedures for the use of various applications, (2) procedures for using applications that have been available easily understood by users, (3) completeness of customer profile, (4) availability of up-to-date customer data, (5) speed in data processing, (6) availability of communication features between Garbage Banks, and (7) availability of communication features between Garbage Banks and collectors.

Ekstraksi Informasi Semantik dan Spatiotemporal pada Artikel Online Terkait Bencana di Indonesia

Indonesia is one country that has a high risk of natural disasters. Ranked in 36 out of 172 countries in disaster index and having 2,372 disaster incidents in 2017, actions need to be taken to minimize the impact of natural disasters. One of it is to do a hazard map modeling. In making hazard maps, several approaches can be used, one of which is the semantic approach to extract disaster information. Therefore, this study aims to develop a system that can be used to extract spatiotemporal and semantic information related to natural disasters in Indonesia. This study uses the NLP method in conducting the information extraction process and carried out using the GATE (General Architecture for Text Engineering) application. In processing Indonesian language articles, it is necessary to develop the plugin because the Indonesian information structure is different from the default information structure in GATE application. The plugin development process is done by using ontology as the basis for determining semantic information. Literature study was carried out related to government regulations that further explained the need for semantic and spatiotemporal information about disaster events. system performance developed produces a precision value of 38% and a recall value of 32%. this is because the system experiences some difficulties in carrying out the information inference process. The reason for low precision rate is because the rules used in the inference process to pair the three types of information still cannot accommodate the variation of information positions in different sentences.

Implementasi Augmented Reality Furniture Dengan User-Defined Target Berbasis Android

Furniture catalogs display items statically in 2-dimensional form only. Buyers often want to observe furniture in a real room. Home-View application in this study can display 3D furniture objects as they want. Home-View App has been developed with Augmented Reality technology. Application is developed using the Vuforia SDK library and User Defined Target (UDT) method in the Unity3D software. UDT is utilized to display 3D furniture on a target like magazine and book covers. Home-View application has two menus namely Marker Katalog and HomeView. Marker Katalog serves as a method to view 3D furniture in a small form in the furniture catalog. HomeView serves as a way to view 3D furniture in the desired room. This application has a positioning feature on the x and y axis and rotating feature on the z axis. The application can run by displaying 3D furniture to its actual size at the HomeView menu and successfully displaying 3D furniture as listed on the catalog at the Marker Katalog menu.

Sistem Informasi Monitoring Skripsi Berbasis Web (Studi Kasus: Prodi Akuntansi Universitas Mercu Buana)

One of the final requirements in academic education for students is to conduct scientific research as outlined in the form of a final thesis. The large number of students taking research courses, makes the Accounting Study Program of the Faculty of Economics and Business at Mercu Buana University difficult to monitor the implementation of the thesis in every semester. With this problem, the researcher aims to build an information system to monitor the thesis that can record all the processes from the beginning of choosing the topic, taking the thesis exam and the graduation done by students. The urgent need for the development of a thesis monitoring information system is the reason for choosing a method of developing Rapid Application Development (RAD), so that the wishes of the Head of Accounting Department of the Faculty of Economics and Business at Mercu Buana University can be fulfilled immediately. The RAD stage that has been carried out is the requirement gathering stage which covers the needs of the operational environment, functional requirements, information needs, and interface requirements. The design phase consists of conceptual schema design, database design and interface design. The result of this research is a thesis monitoring system which has been tested and applied to the Accounting Study Program at Mercu Buana University. This system helps for both students in thesis consultation and the head of accounting in monitoring thesis students effectively and efficiently.