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International Journal of Applied Business and Information Systems
Published by Association for Scientific Computing Electronics and Engineering
ISSN : -     EISSN : 25978993     DOI : 10.31763
Core Subject : Economy,
Economics, Econometrics & Finance
The purpose of the journal is to publish original and high-quality research papers in the field of business information systems. The journal will be published research papers on the following topics: Business Applications Business Process Modelling Business Intelligence Business Management E-Business, E-Commerce Enterprise resource planning (ERP) Management Information Systems Corporate Information Systems Security Issues in Business Information Systems Information Systems and Risk Management Information Systems Development Database and Data Management Data warehouses Information Systems Control and Audit Decision Support Systems Collaborative Systems Knowledge Management Artificial Intelligence Applications in Business Mobile Business Information Systems Web and Internet E-Government E-Learning Information Systems Ethics
Arjuna Subject : Bisnis, Menejemen, dan Akutansi (semua kategori) - Bisnis, Menejemen, dan Akutansi (Lain-Lain)
Articles 5 Documents
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Search results for , issue "Vol. 2 No. 2 (2018)" : 5 Documents clear
Metric based framework for Testing & Evaluation of Service-Oriented Systems Salisu Garba; Muhammad Jauharul Fuady
International Journal of Applied Business and Information Systems Vol. 2 No. 2 (2018)
Publisher : Association for Scientific Computing Electrical and Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1141.113 KB) | DOI: 10.31763/ijabis.v2i2.155

Abstract

Building Model of Flood Cases in Central Java Province using Geographically Weighted Regression (GWR) Tuti Purwaningsih; Citra Saktian Prajaningrum; Mai Anugrahwati
International Journal of Applied Business and Information Systems Vol. 2 No. 2 (2018)
Publisher : Association for Scientific Computing Electrical and Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (668.082 KB) | DOI: 10.31763/ijabis.v2i2.168

Abstract

Indonesia is one of the countries hit by many disasters. During the last five years the disaster increased in the last year, namely in 2016. In terms of the types of disasters, most were floods. The flood disaster has the highest incidence rate in Central Java Province. Flood is a natural phenomenon where there is excess water which is not accommodated by drainage in an area. To be able to identify the risk of flooding that affects humans and their environment, it is necessary to know the causes. The causes of flooding can come from natural and non-natural factors. Seeing the high incidence of flooding in Central Java, the authors drew attention to research whether the factors that influence flooding in the province and how to model it by looking at the spatial effects in it using Geographically Weighted Regression (GWR) analysis. The results showed that the incidence of flooding using GWR analysis had four significant variables, namely rainfall, rainy days, humidity and area. From the model obtained, it has R2 of 56%, and has as many as six models of variables that are significant for each region.
Wavelet-Walsh, Quantization, and Fractal Coding Transformation Methods to Minimize Image Data Size Asriningtias Yuli; Saputro Febri; Setyaningsih Emy
International Journal of Applied Business and Information Systems Vol. 2 No. 2 (2018)
Publisher : Association for Scientific Computing Electrical and Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (372.128 KB) | DOI: 10.31763/ijabis.v2i2.217

Abstract

Digital technology development requires an efficient and fast process, not only in the data transmission but also in the data saving. The digital image is one of the data which is commonly exchanged. However, image data with good quality has rather big size. So that they need to minimize data size to be efficient and fast is badly needed. One of the ways which can be done is to minimize the image data size is data compression. Data compression can be done by minimizing image data redundancy by minimizing the missing information in the digital image. This research proposed the mixing of Wavelet-Walsh, Quantization, and Fractal Coding Transformation Methods to compress image data greyscale so that it has a smaller size but still with good image quality. The test result showed that the average Compression Ratio is 1.32 with the decent reconstruction image result quality that is average value PSNR = 43.31 dB
Inhibiting Factors Integration of Various Information System in Hospital Syauqie Muhammad Marier
International Journal of Applied Business and Information Systems Vol. 2 No. 2 (2018)
Publisher : Association for Scientific Computing Electrical and Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (222.199 KB) | DOI: 10.31763/ijabis.v2i2.224

Abstract

Hospitals have diverse information/application systems, such as patient information systems, clinical information systems, laboratory information systems, radiology information systems, pharmaceutical systems, patient registration applications and other information systems. With the implementation of the integration between systems, it will provide the benefits obtained, namely a fast and accurate reporting process, facilitate operational services, establish effective communication between entities, facilitate access to patient information and up-to-date medical knowledge. However, there is still very little integration between information systems within the hospital environment. A study said only 34.78% of hospitals in the Semarang area and 36.62% of hospitals in the Yogyakarta area had already integrated between existing systems. Considering the many benefits obtained from integration, therefore it is necessary to identify the inhibiting factors in the integration process. The method used is to review some of the literature relating to hospital integration in Indonesia. The literature search is done with the Google search engine. The keywords used are the integration of health services and the integration of hospital information systems. The literature chosen is literature that discusses integration in Indonesia, while the literature that discusses the situation outside Indonesia is not included. After getting the literature, then the categorization of the factors that inhibit or cause various information systems in the hospital are not integrated. The results obtained are two factors that most influence the integration process between systems, namely standardization, human resources, leader and finance.
Identification of Red Dragon Fruit Using Backpropagation Method Based on Android Damar Prasetyo; Renggo Danu Murti Bimantaka
International Journal of Applied Business and Information Systems Vol. 2 No. 2 (2018)
Publisher : Association for Scientific Computing Electrical and Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (368.435 KB) | DOI: 10.31763/ijabis.v2i2.227

Abstract

Ripeness identification of red dragon fruit using conventional methods has a lack of ripeness accuracy, due to the subjective nature of the election or lack of understanding of science in choosing a ripe red dragon fruit. This research was conducted to create a system to identify the ripeness level of red dragon fruit using artificial neural networks backpropagation method with image processing. The stages of the research are 4 steps process, namely preprocessing, training, testing carried out in Matlab and predictions made on the Android system. The data used are 30 images of red dragon fruit which have different levels of ripeness, 10 raw categories, 10 ripe categories, and 10 categories too ripe. the results of the identification of each of the 20 raw dragon fruit images, ripe, and too ripe, can recognize 100% in raw category, 100% in ripe category, and 85% in too ripe category

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