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Spatial autoregressive (SAR) model for average expenditure of Papua Province

Procedia computer science 2019年 157卷 537-542页

作者： Syarifah Diana Permai Ronald Jauri Andry Chowanda Statistics Department School of Computer Science Bina Nusantara University Jakarta Indonesia 11480 Computer Science Department School of Computer Science Bina Nusantara University Jakarta Indonesia 11480

Linear regression model can be used to describe the relationship between dependent variable and independent variables. But, if there is a spatial effect in the data, it must use a spatial model. This is because the independent variables that influence dependent variable can be different at each location. Spatial autoregressive (SAR) model is a spatial method that can be used to describe the relationship between dependent variable and independent variables by considering spatial impact. Before SAR model is carried out, it must be tested for spatial effect using Moran’s I. This is used to ensure that there are spatial effect in the data. Because if there is no spatial effect, then can be use a global model, that is linear regression model using Ordinary Least Square (OLS). In this paper, OLS and SAR model was used on average expenditure data of Papua. Expenditures must be made by each region in Indonesia due to subsidies from the central government. Papua is a province that has the highest average expenditure compared to other provinces. Therefore, the average expenditure becomes important thing that needs to be considered by the government of Papua. This is because there must be equal distribution of expenditure at each district / city in Papua. The result of this research indicated that there is a spatial effect on the average expenditure data in Papua. Comparison result of OLS model and SAR model showed that SAR model is better than OLS model. Because MAPE, AIC and RMSE of SAR model are smaller than OLS.

关键词： linear regression spatial autoregressive model average expenditure

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Evaluation of E-government services based on social media using structural equation modeling 4

Evaluation of E-government services based on social media us...

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4th International Conference on Information Management and Technology, ICIMTech 2019

作者： Nindito, Hendro Madyatmadja, Evaristus Didik Dian Sano, Albert Verasius Information Systems Department School of Information Systems Bina Nusantara University Jakarta11480 Indonesia Computer Science Study Program Bina Nusantara Institute of Creative Technology Malang65126 Indonesia

ISBN: (纸本)9781728133331

Today many local governments have provided aspiration services or social media based complaints about the community to participate in giving aspirations and report problems that occur around the area. To improve the usefulness of this service, we conduct research with the aim of evaluating and identifying the factors that affect the service's application. The impact of this study is that the government can provide services according to the wishes of the community, because the model found can be a reference for the government to increase public trust and satisfaction for users of government services. The influence on the adoption of Aspiration Services is explained by using perceptions of trust, attitudes, and intentions of use that refer to technology acceptance models (TAM). Data processing and analysis in our research using the SEM-PLS method (Structural Equation Model-Partial Least Square). The results in this research will present that services applying technology that gain a positive effect on the awareness of usability and benefit for service users. © 2019 IEEE.

关键词： Least squares approximations

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Nitipyuk: A Crowdsourcing Marketplace for Personal Shopper

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Procedia computer science 2019年 157卷 514-520页

作者： Imada Adillah Friska Yulyani Arifin Syarifah Diana Permai Chandra Limarja Computer Science Department School of Computer Science Bina Nusantara University Jakarta Indonesia 11480 Statistics Department School of Computer Science Bina Nusantara University Jakarta Indonesia 11480

Over the past two years, personal shopper businesses have been increasingly carried out individually through social media. Several web applications offering this type of services have emerged, but they did not come without limitations to certain products and feature availabilities in them. The limitations to individual personal shoppers were raised as the problems that will be discussed in this study. The purpose of this research was to develop an application that can open an opportunity for anyone to become an entrepreneur as well as requester or personal shopper customer. This research involved literature review, comparative analysis of similar applications, application design and evaluation with proportion testing to compare the proportion of users who agreed to those who disagreed with the statements related to the variables evaluated. In addition, an independent test was also performed to find out about the variables related to users’ satisfaction with the application. The researchers suggest developing an e-commerce application with an addition of a bidding feature to increase the level of requester-traveler interaction. From the evaluation results, it can be proven that Nitipyuk is useful and easy to use for users. It only needs improvement in the user interface design to better attract users.

关键词： Marketplace E-Commerce Crowdsourcing Personal Shopper Web Application

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The Influence of User Experience Playerunknown's Battlegrounds Game Toward Adaptive Learning 1

The Influence of User Experience Playerunknown's Battlegroun...

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1st International Conference of Artificial Intelligence and Information Technology, ICAIIT 2019

作者： Moniaga, Jurike Tansil, Bonavensius Yosua Aprilianus Sasmoko Indrianti, Yasinta Noerlina Computer Science Department School of Computer Science Bina Nusantara University Jakarta11480 Indonesia Primary Teacher Education Department Faculty of Humanities Bina Nusantara University Jakarta11480 Indonesia Research Interest Group in Educational Technology Bina Nusantara Universiy Jakarta11480 Indonesia Information Systems Department School of Information Systems Bina Nusantara University Jakarta11480 Indonesia

ISBN: (纸本)9781538684481

the development of games that are increasingly rapid by itself has produced a variety of works that are in great demand by game players. PlayerUnknown's Battleground (PUBG) is one of the best-selling examples of games downloaded in early 2018. This study seeks to see how user experience and adaptive learning are obtained from this game. The research method uses neuroresearch. The results of the study show that the user experience is determined by the interest in the game. While the interest in being a pro player is a determining factor for players experiencing adaptive learning. © 2019 IEEE.

关键词： Games User experience Adaptive learning Weapons computer science Industries Linearity

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Map-type Modelling and Analysis of Children Stunting Case Data in Indonesia with Interactive Multimedia Method

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Procedia computer science 2019年 157卷 530-536页

作者： Jurike V. Moniaga Margaretha Ohyver Jeremy Siregar Philip Hoktato Yauwito Computer Science Department School of Computer Science Bina Nusantara University Jakarta Indonesia 11480 Statistics Department School of Computer Science Bina Nusantara University Jakarta Indonesia 11480

Stunting is a major nutritional problem in Indonesia for years. Although the government has done some actions to solve this, the severity of this problem still persist, which means we have to improve the effectiveness of solving this problem. In this journal, we propose an application to integrate the data about stunting cases in Indonesia with its causes details, in hope to increase the effectiveness of government interventions in solving this problem. The application we propose implements interactive multimedia method to increase simplicity, user engagement, intuitiveness, and availability in processing data on stunting case.

关键词： interactive multimedia stunting user engagement

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Big Data Governance for Building A Smart Cities 10

Big Data Governance for Building A Smart Cities

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10th International Conference on ICT for Smart Society, ICISS 2019

作者： Zulkarnain, Novan Kosala, Raymond Ranti, Benny Supangkat, Suhono Harso Bina Nusantara University Computer Science Department BINUS Graduate Program Doctor of Computer Science Information Systems Department Jakarta11480 Indonesia Universitas Indonesia Computer Science Department Depok16424 Indonesia Institute of Technology Bandung School of Electrical and Informatics Engineering Bandung40132 Indonesia

ISBN: (纸本)9781728148809

There have been many studies conducted related to Smart City, IT Governance and Big Data. In this study aims to find out how the relationship between the three and how to form a framework to explain it. The methodology used is qualitative by looking for some literature on smart city framework, IT Governance framework, and a Big Data framework. From these results, an overall picture of the relationship between the three is concluded, where Big Data has a role in IT Governance. and also the relationship of IT Governance to the realization of Smart City. And the final results of this study produce a framework to explain the relationship between Smart City, IT Governance and Big Data. © 2019 IEEE.

关键词： Big data

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Applications of the Fuzzy ELECTRE Method for Decision Support Systems of Cement Vendor Selection

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Procedia computer science 2019年 157卷 479-488页

作者： Siti Komsiyah Rini Wongso Syali Widia Pratiwi Mathematics Department School of Computer Science Bina Nusantara University Jakarta Indonesia 11480 Computer Science Department School of Computer Science Bina Nusantara University Jakarta Indonesia 11480

Fuzzy ELECTRE (Elimination Et Choix Traduisant la Realité) is one of the fuzzy multi criteria decision making methods for resolving the ambiguity of concepts that are associated with decision maker’s judgments. In this paper, the proposed methods are applied to a construction company in Indonesia, that is the fuzzy ELECTRE method is applied to cement vendors recommendation problem of PT Wijaya Karya. There are four vendors (A1,A2,A3 and A4) as a recommendation for the best vendor selection. The selection of vendors of raw materials is one of the activities in supply chain management at PT Wijaya Karya. The role of the vendor will contribute to determining the success of this company. After determining the criteria that affect the vendor selection decisions, the results for fuzzy ELECTRE methods are presented.

关键词： Decision Support System (DSS) Supplier Vendor Cement Fuzzy ELECTRE

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Analysis of Gender Identification in Bahasa Indonesia using Supervised Machine Learning Algorithm

Analysis of Gender Identification in Bahasa Indonesia using ...

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International Conference on Information and Communications Technology (ICOIACT)

作者： Evawaty Tanuar Edi Abdurachman Ford Lumban Gaol Lukas School of Computer Science Bina Nusantara University Jakarta Indonesia BINUS Graduate Program – Doctor of Computer Science Bina Nusantara University Jakarta Indonesia Cognitive Engineering Research Group (CERG) Faculty of Engineering Universitas Katolik Indonesia Atma Jaya Jakarta Indonesia

The following topics are dealt with: learning (artificial intelligence); feature extraction; image classification; convolutional neural nets; pattern classification; support vector machines; medical image processing; ... 详细信息

ISBN: (数字)9781728173566

ISBN: (纸本)9781728173573

关键词： Support vector machines Machine learning algorithms Biometrics (access control) Signal processing algorithms Artificial neural networks Speech recognition Classification algorithms

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Features Importance in Classification Models for Colorectal Cancer Cases Phenotype in Indonesia

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Procedia computer science 2019年 157卷 313-320页

作者： Tjeng Wawan Cenggoro Bharuno Mahesworo Arif Budiarto James Baurley Teddy Suparyanto Bens Pardamean Computer Science Department School of Computer Science Bina Nusantara University Jakarta Indonesia 11480 Bioinformatics and Data Science Research Center Bina Nusantara University Jakarta Indonesia 11480 BioRealm LLC Computer Science Department BINUS Graduate Program - Master of Computer Science Program Bina Nusantara University Jakarta Indonesia 11480

Recently there has been an interest in predicting complex disease risk using models that combine the effects of many genetic factors together. These are known as polygenic models and are useful in evaluating risk of disease in patients. These models, however, often do not include important non-genetic factors that are important to the prediction of the disease. In this paper, we explore the prediction of colorectal cancer in Indonesia from non-genetic factors using common machine learning algorithms: XGBoost and Elastic Net. The result of this study identified 8 features with strong importance from both XGBoost and Elastic Net. We recommend including these features as covariates in future genetic association studies of colorectal cancer in Indonesia. Ultimately these models may be implemented as tools to screen patients for colorectal cancer risk.

关键词： Feature Importance Feature Selection XGBoost Generalized Linear Model Elastic Net Colorectal Cancer

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Saint-Venant Model Analysis of Trapezoidal Open Channel Water Flow using Finite Difference Method

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Procedia computer science 2019年 157卷 6-15页

作者： Gracia Natasha Suharjito Viska Noviantri Mathemathics Department School of Computer Science Bina Nusantara University Jakarta Indonesia 11480 Computer Science Department Binus Graduate Program – Master of Computer Science Bina Nusantara University Jakarta Indonesia 11480

This study aims to compare the flow characteristics in rectangular and trapezoidal open channel by investigating the effects of Manning coefficient, channel bottom slope, channel width, and channel side slope which represented by modified Saint-Venant equation according to the channel cross section, which are rectangular and trapezoidal, and the slope of channel friction using the Manning coefficient. The equation is solved numerically by using finite difference methods with Forward Time Backward Space approach. The model is simulated by using python-based desktop application to show the flow characteristics. Computational results are displayed in the form of summaries, tables, two-dimensional graphics, and three-dimensional graphics. Validation is done by comparing computational results data with data from the other studies that have been done before and concluded that the simulation results have been valid and indicate compliance with the prior studies. The simulation results show that trapezoidal channel is better at minimizing the risk of flooding than rectangular channel in consideration of smaller discharge, smaller velocity, and lower water level.

关键词： Channel Water Flow Simulation Saint-Venant Equation Finite Difference Method

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