SISTEM RUMAH SAKIT TERPADU MENGGUNAKAN JSP (STUDY KASUS : APOTEK)

ABSTRACT Final project report entitled "Sistem Rumah Sakit Terpadu Menggunakan JSP ( Study Kasus : Apotik )�. Report Writing objectives of this Final Project is to design a pharmacy information system online at Regional General Hospital Banyuwangi in detail, fast and up to date with the help of a computer use a JSP script and a MySQL database. Method study conducted by the authors in conducting research includes field studies and literature study. The field study included interviews and observations. A literature study by research literature relevant to the problem faced by the author. In this report I shall describe a system that will be proposed through the design Data Flow Diagram model (DAD). Design model is DAD shows the need for the process of the proposed system of logic, especially for computerized systems. Besides the new system design is also done by arranging this desain end project talking about the design of information systems of billing services, computer-based pharmacy at the Regional Hospital Board of Banyuwangi. The design of this information system will assist in the transaction process of billing services, facilitate the retrieval of documents quicker billing, and collection of income data and information quickly and on time according to the needs of system users. Keywords: design, information systems, Pharmacie

SISTEM RUMAH SAKIT TERPADU MENGGUNAKAN JSP STUDI KASUS : VK (KAMAR BERSALIN)

ABSTACT End of Project report titled �SYSTEM HOSPITALS UNIT USING JSP(CASE STUDY : VK : VERLOOS KAMER)�. The purpose of writing this final report is to design an online information system VK District General Hospital in Banyuwangi in detail, quick and up to date with the help of a computer through a scrip JSP and MySQL database. Method study conducted by the authors in conducting research pass up field studies and literature. Field studies include interviews and observations. Studies conducted with library research literature relevant to the problems faced by writers. In this report I shall describe a system that will be proposed through the Data Flow Diagram model design (DAD). Design DAD model shows only the process requirement of the proposed system of logic, especially for computerized systems. Besides the new system design is also done by making the design. This thesis explores the design of information systems services to the body of the computer-based VC General Hospital of Banyuwangi. This information system will assist in helping the service transaction processes VK, VK easy retrieval of documents, as well as data collection and revenue information quickly and on time according to the needs of users of the system. Keywords: design, information systems, verloos kame

SISTEM RUMAH SAKIT TERPADU MENGGUNAKAN JSP (STUDI KASUS: TINDAKAN MEDIS RAWAT INAP)

ABSTRACT Final Project Report entitled "INTEGRATED HOSPITAL SYSTEM USING JSP (CASE STUDY: MEDICAL ACTION INPATIENT)". The purpose Writing objectives of this Final Project Report is to design information systems Inpatient Medical Action online at Regional General Hospital Banyuwangi in detail, fast and up to date with the help of a computer via a JSP script and a MySQL database. Method study conducted by the authors in conducting research includes field studies and literature study. The field study included interviews and observations. A literature study by research literature relevant to the problem faced by the author. In this report I shall describe a system that will be proposed through the design Data Flow Diagram model (DAD). Design is only moled DAD shows the need for the process of the proposed system of logic, especially for computerized systems. Besides the new system design is also done by constructing an End Task design is about the design of information systems Inpatient Medical Action computer based on the Regional Hospital Board of Banyuwangi. The design of this information system will assist in the transaction processes services Inpatient Medical Actions, Document Actions facilitate Inpatient Medical faster, and earnings data collection and information quickly and on time according to the needs of system users. Keywords: Design, Information Systems, Action Medical Inpatien

Design aesthetics recommender system based on customer profile and wanted affect

Product recommendation systems have been instrumental in online commerce since the early days. Their development is expanded further with the help of big data and advanced deep learning methods, where consumer profiling is central. The interest of the consumer can now be predicted based on the personal past choices and the choices of similar consumers. However, what is currently defined as a choice is based on quantifiable data, like the product features, cost, and type. This paper investigates the possibility of profiling customers based on the preferred product design and wanted affects. We considered the case of vase design, where we study individual Kansei of each design. The personal aspects of the consumer considered in this study were decided based on our literature review conclusions on the consumer response to product design. We build a representative consumer model that constitutes the recommendation system's core using deep learning. It asks the new consumers to provide what affect they are looking for, through Kansei adjectives, and recommend; as a result, the aesthetic design that will most likely cause that affect

Design aesthetics recommender system based on customer profile and wanted affect

Product recommendation systems have been instrumental in online commerce since the early days. Their development is expanded further with the help of big data and advanced deep learning methods, where consumer profiling is central. The interest of the consumer can now be predicted based on the personal past choices and the choices of similar consumers. However, what is currently defined as a choice is based on quantifiable data, like product features, cost, and type. This paper investigates the possibility of profiling customers based on the preferred product design and wanted affects. We considered the case of vase design, where we study individual Kansei of each design. The personal aspects of the consumer considered in this study were decided based on our literature review conclusions on the consumer response to product design. We build a representative consumer model that constitutes the recommendation system's core using deep learning. It asks the new consumers to provide what affect they are looking for, through Kansei adjectives, and recommend; as a result, the aesthetic design that will most likely cause that affect.Comment: 11 pages, 10 figures, peer-reviewed at the KEER 2022 conferenc

The Development of Message-Design Model in Blended Learning

. The researcher found a problem in designing an instruction often ignore the message design because it is focused on syntax and learning systems, including the design of innovative learning such as e-learning, online learning, blended learning and mobile learning. Based on these problems, the researcher develops a model of design message in blended learning. The goal is to help the educators to facilitate learners to interpret and construct teaching materials. The development used ADDIE models. Qualitative and quantitative data were collected through observation, interviews, questionnaires, and tests in order to produce a model of message design. The validity of this products was tested by expert and the practicality and effectivity testing by the user in the course of Theory of Learning and instruction. The result of this development consists of (1) the book of model design messages in blended learning, and (2) the learning tool that consists of teaching materials, media presentations, e-learning, syllabus, SAP that is valid, practical and effective. The Book model can be used by designers of instruction, learning consultant, and lecturer/educator in helping learners to interpret and construct learning message so that they have an ability to generalize the learning and become independent learners

To Design and Implement a Recommender System based on Brainwave: Applying Empirical Model Decomposition (EMD) and Neural Networks

Recommender systems collect and analyze users’ preferences to help users overcome information overload and make their decisions. In this research, we develop an online book recommender system based on users’ brainwave information. We collect users’ brainwave data by utilizing electroencephalography (EEG) device and apply empirical mode decomposition (EMD) to decompose the brainwave signals into intrinsic mode functions (IMFs). We propose a back-propagation neural networks (BPNN) model to portrait the user’s brainwave preference correlations based on IMFs of brainwave signals, thereby designing and developing the book recommender system. The experimental results show that the recommender system combined with the brainwave analysis can improve accuracy significantly. This research has highlighted a future direction for research and development on human-computer interaction (HCI) design and recommender system

Case Studies for Computing Density of Reachable States for Safe Autonomous Motion Planning

Density of the reachable states can help understand the risk of safety-critical systems, especially in situations when worst-case reachability is too conservative. Recent work provides a data-driven approach to compute the density distribution of autonomous systems' forward reachable states online. In this paper, we study the use of such approach in combination with model predictive control for verifiable safe path planning under uncertainties. We first use the learned density distribution to compute the risk of collision online. If such risk exceeds the acceptable threshold, our method will plan for a new path around the previous trajectory, with the risk of collision below the threshold. Our method is well-suited to handle systems with uncertainties and complicated dynamics as our data-driven approach does not need an analytical form of the systems' dynamics and can estimate forward state density with an arbitrary initial distribution of uncertainties. We design two challenging scenarios (autonomous driving and hovercraft control) for safe motion planning in environments with obstacles under system uncertainties. We first show that our density estimation approach can reach a similar accuracy as the Monte-Carlo-based method while using only 0.01X training samples. By leveraging the estimated risk, our algorithm achieves the highest success rate in goal reaching when enforcing the safety rate above 0.99.Comment: NASA Formal Methods 202