Decision support model (DSM) is familiarly applied in a lot of areas and issues. The model is commonly benefited by decision maker to solve semi / unstructured problems. One of them should be used to treat medical was...
Decision support model (DSM) is familiarly applied in a lot of areas and issues. The model is commonly benefited by decision maker to solve semi / unstructured problems. One of them should be used to treat medical waste by considering six selected parameters and three decision alternatives. In this study, environmental issue is main concerned aspect that the constructed model consequently becomes ecological DSM (eco-DSM). Three main methods are operated to construct the model; they are fuzzy logic, Euclidean distance, and full-factorial optimization methods. The model is analysed and designed via object oriented method. Lastly, the study shows simulation results based on empirical data of medical waste from one class 'A' state hospital in Jakarta, Indonesia.
The objective of this study is to develop learning media by using the computer Based Instruction (CBI) model for GOST algorithm cryptographic material (Gosudarstvennyi Standard). Besides, the study serves to present l...
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Numerous efforts have been reasonably done to eliminate the road traffic congestion, however it occurs every working day, particularly in metropolitan. This study positively proposed a model which is not only able to ...
Numerous efforts have been reasonably done to eliminate the road traffic congestion, however it occurs every working day, particularly in metropolitan. This study positively proposed a model which is not only able to show the effect of road traffic congestion ecologically, but also can recommend the strategy for road traffic engineering with methodically elaborating the environmental attributes as a dominant aspects considered. It is called as ecological decision support model (eco-DSM). To construct the model, two main methods were operated and combined: fuzzy logic and water flow algorithm (WFA). The method fuzzy logic exploited to exterminate the bias facet on parameters, and the WFA utilised to model the road traffic congestion and vehicle flow and to optimize its velocity based on emission calculation. The constructed model itself was designed thru the method object oriented, and the empirical road traffic congestion data of the Juanda Street in Tangerang Selatan city were functioned. Finally, the model showed the simulation result for suggesting the best decision alternative for road traffic engineering.
Corruption is an extraordinary crime and must be eradicated not only as fast as possible, but also as efficient and as effective as possible as it hinders the process of achieving sustainable economy. In current moder...
Corruption is an extraordinary crime and must be eradicated not only as fast as possible, but also as efficient and as effective as possible as it hinders the process of achieving sustainable economy. In current modern society, information technology exists as a multidisciplinary tool to solve lingering problems that could not be solved by traditional efforts. This paper aims to provide knowledge regarding identified efforts to fight corruption specifically in Indonesia region. Systematic Literature Review (SLR) methodology is used as the methodology, and Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) flow is used as framework to identify relevant records. Scopus database is used as data source. A total of 10 records are labelled as relevant to this research, and the findings are synthesized. It was found from the records that the main areas of interest for ICT research for corruption prevention in Indonesia are (1) information transparency, (2) operational enhancement, (3) success evaluation, (4) security and fraud, and (4) decision support. The findings are expected to assist future research in term of providing valuable insights on corruption prevention using ICT in Indonesia.
Children malnutrition and stunting are still common in Indonesia. Although Indonesia has succeeded in reducing malnutrition and stunting rates over the past few years, these two issues must still be considered as some...
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Children malnutrition and stunting are still common in Indonesia. Although Indonesia has succeeded in reducing malnutrition and stunting rates over the past few years, these two issues must still be considered as something serious in order to prevent the increasing number of malnutrition and stunting rates in the future. This study aims to analyze the suitable logistic regression methods and growth charts to reduce the number of children with malnutrition and stunting status. Based on the analysis of previous studies and theories, researchers have found that multinomial logistic regression is the most suitable method to measure children nutritional and stunting status because it can provide more specific results, such as malnutrition, undernutrition, normal nutrition and obese. WHO growth charts – weight-for-age chart that already exists in Kartu Menuju Sehat (KMS) – is suitable to be applied in monitoring child’s nutritional status because Indonesia’s Anthropometric Standards Assessing Nutritional Status of Children are developed based on WHO Standards. To be able to perform Indonesian children stunting status measurement, WHO length-for-age or height-for-age growth chart needs to be applied.
This research succeeded in developing an application program based on Java programming language. The software is able to prove abstract algebra, especially Normal Subgroups and Factor Groups. The result from the softw...
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This research succeeded in developing an application program based on Java programming language. The software is able to prove abstract algebra, especially Normal Subgroups and Factor Groups. The result from the software program developed indicated that the proof of Normal Subgroups and Factor Groups could be done properly and correctly and relatively faster than if done manually.
This article describes the development of review rating and reporting features for Open Journal System (OJS), an open-source journal publishing platform used by more than 10,200 journals all over the world. Journal ed...
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This article describes the development of review rating and reporting features for Open Journal System (OJS), an open-source journal publishing platform used by more than 10,200 journals all over the world. Journal editors are able to receive rating recommendation automatically as a decision support in grading the review quality of peer reviewers. In addition, reporting features are also implemented to facilitate publishers in documenting their journals. Testing and evaluation show that both features are effective to be used in OJS-based journals.
Speed performance is important in the process of creating content on the Knowledge Management System. binanusantara (BINUS) University has implemented Knowledge Management System (KMS) since 2002. This study examined...
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A system for automatic detection of road damages is essential for logistics management. At the core of the system lies an algorithm for classification of damages. This work intends to establish such an algorithm. In t...
A system for automatic detection of road damages is essential for logistics management. At the core of the system lies an algorithm for classification of damages. This work intends to establish such an algorithm. In the current proposal, the algorithm receives data of the probe vehicle rate of rotations, extracts statistics descriptive from the data to produce a feature vector, and finally, feeds the vector to a simple-three-layer neural network to classify the damages. The types of damages are limited to four cases: normal, pothole, speed bump, and expansion joint. For the development, a probe vehicle is used to produce 400 empirical data involving those four damage cases. By using Monte Carlo approach, the established neural network model is evaluated. The results show that the approach is able to classify the cases with 85% accuracy. The study also finds that the rates of pitch and roll to be the determining factors.
Quadratic residue is an important concept in number theory because it has both theoretical and practical application in mathematics and other areas such as computerscience and communication. We also have a same conce...
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Quadratic residue is an important concept in number theory because it has both theoretical and practical application in mathematics and other areas such as computerscience and communication. We also have a same concept of quadratic residue in general finite fields. Finding a square root of a quadratic residue in finite fields is an essential problem in computational algebra. In this paper we present an algorithm of computing square root of quadratic residue in finite fields using a primitive element.
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