Sistem Informasi Rekam Medis Di Klinik Gigi Rumah Sakit Paru dr. Ario Wirawan Salatiga

Abstrak - Saat ini pelayanan di klinik gigi Rumah Sakit Paru dr. Ario Wirawan (RSPAW) masih menggunakan cara konvensional atau offline. Proses pendaftaran pasien dapat dilakukan dengan datang ke klinik untuk mengambil nomor antrian. Untuk pasien baru wajib mengisi form pasien baru. Setelah itu pasien akan diperiksa oleh dokter, jika pasien yang sudah pernah periksa maka dokter akan melihat blangko yang berisi rekam medis pasien. Selesai proses pengerjaan dokter menulis terapi yang sudah diberikan di blangko rekam medis pasien. Tahap analisis yang dilakukan adalah menganalisis permasalahan sistem yang sedang berjalan dan analisis kebutuhan sistem yang dikembangkan. Langkah perancangan dari sistem yang dikembangkan dalam penelitian ini adalah membuat bagan alir sistem yang dikembangkan, diagram arus data, desain input, desain output dan desain basis data. Sistem dibuat menggunakan visual basic dan Ms.Acces. Sistem yang dikembangkan dalam penelitian ini meliputi pengolahan data pasien, data diagnosa, data tindakan data obat, data dokter. Fasilitas pemeriksaan pasien yang ada dalam sistem antara lain riwayat penyakit dan namnesa, diagnosa pasien, tindakan pemerisaan pasien, obat yang diberikan dan poto ronsen. Sistem dapat menghasilkan daftar pasien, daftar dokter, daftar obat, daftar diagnosa, daftar tindakan, laporan rekam medis, laporan penjualan obat dan laporan pemasukan.Kata Kunci: Rekam Medis, Klinik Gigi, Visual BasicAbstract - Currently the service at the dental clinic at the Lung Hospital, dr. Ario Wirawan (RSPAW) still uses conventional or offline methods. The patient registration process can be done by coming to the clinic to take a queue number. New patients are required to fill out a new patient form. After that the patient will be examined by the doctor, if the patient has been examined, the doctor will see a blank containing the patient's medical record. After completing the process, the doctor writes the therapy that has been given on the patient's medical record blank. The analysis phase carried out is analyzing the problems of the current system and analyzing the needs of the system being developed. The design step of the system developed in this research is to make a flow chart of the system developed, data flow diagrams, input design, output design and database design. The system is made using visual basic and Ms. Access. The system developed in this study includes patient data processing, diagnostic data, drug data action data, doctor data. Patient examination facilities that exist in the system include medical history and name, patient diagnosis, patient examination procedures, drugs given and X-ray photos. The system can generate patient lists, doctor lists, drug lists, diagnostic lists, action lists, medical record reports, drug sales reports and income reports.Keywords : Medical Records, Dental Clinic , Visual Basic

Perancangan Website Promosi Pada PT. Mitra Kerinci Padang

PT. Mitra Kerinci is a tea plantation company that has an office in Padang. Website promotion, especially at PT. Mitra Kerinci Padang does not yet have a website capable of providing information. On the basis of the problems that occur, the author has conducted research to design a promotional information system for PT. Partners of Kerinci Padang. In the process, the output design, input design and file design are designed, which are then implemented into the PHP programming language supported by the MySQL database. With the existence of a promotional website at PT. This Padang Kerinci partner, can provide information that is effective and easily accessible to users.

ARRANGEMENT OF ENGINEERING MODELING OF TECHNOLOGICAL SYSTEMS FOR SOLVING PRODUCTION TASKS OF DIVERSE COMPLEXITY

The paper considers a technique that allows to increase the efficiency of solving various types of production tasks based on simulation modeling. The technique considers the process of engineering modeling of technological system components in accordance with conceptual hierarchical levels, which with the deeper level provide an approximation of the simulated object from the initial correspondence in the form of equipment contours to the maximum in the form of a 3D component model based on 3D scanning. This technique allows to choose the most adequate option of modeling the technological system components, corresponding to the complexity of the production task solved by simulation modeling. The application of the technique in the design and engineering services of a machine-building enterprise allows to arrange the modeling process, select all its stages, assign performers, check the execution of the modeling process, ensure that the models correspond to the production task being solved. The technique effectiveness is confirmed by the given examples of solving production tasks of diverse complexity – simulation modeling of gear milling of helical bevel gears and circular tooth pulling. The purpose of the paper is to reduce the complexity of building 3D models of technological systems by engineering services of machine-building enterprises for solving production problems of diverse complexity thanks to the hierarchical structuring of input design information for building 3D models of a technological system and solved production tasks. Research methods: functional differentiation of processes. Research results and novelty: reducing the duration of solving production tasks of diverse complexity by decreasing the time of 3D modeling of technological systems. Conclusions: rational arrangement of engineering modeling based on the hierarchical structuring of input design information for building 3D models of a technological system and solved production tasks allows to reduce the duration of engineering modeling up to two times.

A Regression Model to Determine Pressure Ratings of Slotted Tubular Components With Imperfections

The objective of the present work is to develop a prediction model to predict the pressure rating accounting for the imperfections using Design of Experiments (DoE) approach. Each imperfection is modelled in terms of a design parameter and bounded by a certain realistic variation. The DoE approach aids in identifying the most influencing imperfections and in further developing an approximate model that relates the input design parameters to the maximum radial deformation. Furthermore, the regression model is built to obtain the pressure rating of the component accounting for the imperfections. The study identifies that ovality and its orientation are by far the most influential imperfections when compared to others and provides the designer the effects of imperfection parameters on the component. The prediction model developed, serves as a ready reckoner to obtain the pressure rating of the component within the design space without any exclusive analysis. This approach leads to effective design and saves computational time.

Multi-scale simulation approach for identifying optimal parameters for fabrication ofhigh-density Inconel 718 parts using selective laser melting

Purpose Depending on an experimental approach to find optimal parameters for producing fully dense (relative density > 99%) Inconel 718 (IN718) components in the selective laser melting (SLM) process is expensive and offers no guarantee of success. Accordingly, this study aims to propose a multi-scale simulation framework to guide the choice of processing parameters in a more pragmatic manner. Design/methodology/approach In the proposed approach, a powder layer, ray tracing and heat transfer simulation models are used to calculate the melt pool dimensions and evaporation volume corresponding to a small number of laser power and scanning speed conditions within the input design space. A layer-heating model is then used to determine the inter-layer idle time required to maximize the temperature convergence rate of the solidified layer beneath the power bed. The simulation results are used to train surrogate models to construct SLM process maps for 3,600 pairs of the laser power and scanning speed within the input design space given three different values of the underlying solidified layer temperature (i.e., 353 K, 673 K and 873 K). The ideal selection of laser power and scanning speed of each process map is chosen based on four quality-related criteria listed as follows: without the appearance of key-hole melting; an evaporation volume less than the volume of the d90 powder particles; ensuring the stability of single scan tracks; and avoiding a weak contact between the melt pool and substrate. Finally, the optimal laser power and scanning speed parameters for the SLM process are determined by superimposing the optimal regions of the individual process maps. Findings The feasibility of the proposed approach is demonstrated by fabricating IN718 test specimens using the optimal processing conditions identified by the simulation framework. It is shown that the maximum density of the fabricated parts is 99.94%, while the average density is 99.88% and the standard deviation is less than 0.05%. Originality/value The present study proposed a multi-scale simulation model which can efficiently predict the optimal processing conditions for producing fully dense components in the SLM process. If the geometry of the three-dimensional printed part is changed or the machine and powder material is altered, users can use the proposed method for predicting the processing conditions that can produce the high-density part.

Bayesian Optimization for Multi-Objective High-Dimensional Turbine Aero Design

Industrial design fundamentally relies on high-dimensional multi-objective optimization. Bayesian Optimization (BO) based on Gaussian Processes (GPs) has been shown to be effective for this practice where new designs are picked in each iteration for varying objectives including optimization and model refinement. This paper introduces two industrial applications of BO for turbine aero design. The first application is GE’s Aviation & Power DT4D Turbo Aero Design with 32 design variables. It has a single objective to maximize with 32 input/design variables and thus considered high-dimensional in terms of the input space. BO has significantly succeeded the traditional design schemes. It has been shown that finding the maximum-EI points (inner-loop optimization) could be critical and the influence of inner-loop optimization was evaluated. The second application is for multi-objective optimization. Each simulation run is the aggregate result from multiple CFD runs tuning geometry and took 24 hours to complete. BO has been capable to extend the existing Pareto front with a few additional runs. BO has been searching along the border of the design space and therefore motivate the open-up of design space exploration. For both applications, BO successfully guide the CFD run and allocate design variables more optimum than previous design approaches.