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IAENG International Journal of computer science 2019年第4期46卷 670页

作者： Caraka, Rezzy Eko Chen, Rung Ching Toharudin, Toni Pardamean, Bens Bakar, Sakhinah Abu Yasin, Hasbi College of Informatics Chaoyang University of Technology Taichung City41349 Taiwan Department of Statistics Padjadjaran University Bandung Indonesia College of Informatics Chaoyang University of Technology Taichung City41349 Indonesia Bioinformatics Data Science Research Center Bina Nusantara University Indonesia BINUS Graduate Program-Master of Computer Science Bina Nusantara University. Indonesia School of Mathematical Sciences FST The National University of Malaysia Malaysia Department of Statistics Diponegoro University Semarang Indonesia

In general, performing a nonlinearity time series analysis in the modeling of data can reach a robust and increase the quality of the results. Wavelet methods have successfully been applied in a great variety of applications for modeling also forecasting. Wavelet Transform divided into two categories. There is continuous wavelet (CWT) and a discrete wavelet transform (DWT). Cycle spinning unlike the discrete wavelet transform (DWT), is highly redundant, non-orthogonal, also defined naturally for all sample sizes. There is a Group Method of Data Handling (GMDH) algorithm, which is a multivariate analysis method can be used in modeling and identifying uncertainty on linear also nonlinearity systems. In this paper, we aim to explain the combination of A-Trous wavelet transforms applied on cycle spinning and group method of data handling (GMDH) in data of short-term electric load holy month of Ramadhan from 2014 to 2015. © 2019, International Association of Engineers.

关键词： Discrete wavelet transforms

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Combined multiple neural networks and genetic algorithm with missing data treatment: Case study of water level forecasting in Dungun River - Malaysia

IAENG International Journal of Computer Science

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IAENG International Journal of computer science 2018年第2期45卷 246-254页

作者： Wibowo, Antoni Arbain, Siti Hajar Abidin, Norhaslinda Zainal Computer Science Department Binus Graduate Program-Master of Computer Science Bina Nusantara University Indonesia Faculty Computer Science Universiti Tun Hussein Onn Malaysia Malaysia Faculty of Computing Universiti Teknologi Malaysia Malaysia Department of Decision Sciences School of Quantitative Science Universiti Utara Malaysia Malaysia

We consider water level forecasting in Dungun River where the collected data contain missing values. Therefore, we cannot utilize a prediction technique to forecast the water level directly. To overcome this difficulty, we used Ordinary Linear Regression (OLR) and mean substitution to handle the imperfect data and to make the data meaningful. ARIMA and SARIMA are well known techniques and widely used in time series forecasting. Unfortunately, they produce a linear regression model that may improper model for water level forecasting. Instead, Backpropagation Neural Network (BPNN) and Nonlinear Autoregressive Exogenous Model (NARX) are alternative techniques to address the issue of linearity in regression. Nevertheless, they also have difficulties to determine the optimal network and regression coefficients/weights due to the randomness of their initial weights. Under this circumstance, we proposed Multiple BPNN and Genetic Algorithm (GA) to overcome the limitation of ARIMA/SARIMA, standalone BPNN and NARX. Our experiment showed that our proposed technique is superior compared to ARIMA, SARIMA, BPNN and NARX. © International Association of Engineers.

关键词： Neural networks

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A Simple Butterfly Lifecycle Algorithm for Measuring Company's Growth Performance

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IOP Conference Series: Materials science and Engineering 2019年第1期598卷

作者： D N Utama A Mitchell B Fieri H Richard Computer Science Department BINUS Graduate Program - Master of Computer Science Bina Nusantara University Jakarta Indonesia 11480 Computer Science Department School of Computer Science Bina Nusantara University Jakarta Indonesia 11480

Five states of butterfly metamorphoses in its lifecycle naturally inspire algorithm creation. A simple butterfly lifecycle algorithm (BLCA) was successfully created by imitating a real butterfly lifecycle in five stages study; preliminary analysis, literature review, input-process-output analysis, logic analysis, and algorithm construction. The algorithm was represented thru activity diagram, pseudo-code, and class diagram. The dummy case of measuring company growth performance used to experimentally test the algorithm.

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Maintaining the Quality and Aroma of Coffee with Fuzzy Logic Coffee Roasting Machine

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IOP Conference Series: Earth and Environmental science 2020年第1期426卷

作者： Harsawardana Bayu Samodro Bharuno Mahesworo Teddy Suparyanto Don Bosco Surya Atmaja Bens Pardamean Artificial Intelligence Research and Innovation Center for Agroindustry (AIRICA) Institut Pertanian STIPER Yogyakarta Indonesia 55281 Mechatronics and AI Research & Development Center Biotechnic Innovation Yogyakarta Indonesia 55281 Bioinformatics and Data Science Research Center Bina Nusantara University Jakarta Indonesia 11480 Computer Science Department BINUS Graduate Program - Master of Computer Science Bina Nusantara University Jakarta Indonesia 11480

With the increasing global demands of coffee, Indonesia need to increase their coffee beans supply and improve the quality to maintain its position in the international coffee industry. One of the most important coffeepre-processing, coffee bean roasting, is under developed in Indonesia. Indonesia coffee farmers prefer to use the traditional cauldron to roast their coffee beans. Roasting coffee beans using traditional cauldron is inefficient and resulting unequal roasted level for the coffee beans. In this study, we proposed atemperature control system based on fuzzy logic for coffee roaster machine. The system controls the temperature in accordance with the demanded roasting level. A thermal camera is attached inside the roasting chamber to monitor the heaton the roasted coffee beans. The thermal camera is integrated with a stirring mechanism to equalise the heat among the beans.

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Critical success factor measurement model implementation of natural disaster mitigation knowledge management systems

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AIP Conference Proceedings 2020年第1期2245卷

作者： Wahyu Sardjono Harisno Widhilaga Gia Perdana Tri Pujadi Karto Iskandar 1Information Systems Management Department BINUS Graduate Program - Master of Information Systems Management BINA NUSANTARA University Jakarta INDONESIA 11480 2Post Graduate Program School of Environmental Science University of Infonesia Jakarta INDONESIA 3School of Information Systems BINA NUSANTARA University Jakarta INDONESIA 11480 4School of Computer Science BINA NUSANTARA University Jakarta INDONESIA 11480

In Law Number 24 Year 2007 concerning Disaster Management, it is stated that the central government and regional governments are responsible for implementing disaster management, with an emphasis on preparedness and mitigation in dealing with natural disasters, but the socialization of these two matters is not regulated in the law exist, so that the planning and implementation of the socialization and internalization program must be carried out by the community itself. Exposure in this paper aims to provide an overview of how socialization of mitigation in dealing with natural disasters carried out by the use of information systems and technology can be successful with reference to the theory of SECI (Socialization, Externalization, Combination, and Internalization), knowledge development with data formed based on the perspective of the community. Factor analysis method is used to look for the success factors of mitigation socialization in the face of natural disasters. Furthermore, from the new factors that are formed, further analysis is carried out with a regression analysis method to develop a successful model of disaster mitigation socialization *** results of the study provide a number of new factors that can be represented as variables of community awareness of natural disasters, mitigation socialization processes in the face of natural disasters, availability of systems and information technology, and knowledge management governance on natural disaster mitigation. The conclusion obtained from this study is that the momentum of the industrial revolution era 4.0 can be utilized to support the socialization process of natural disaster mitigation independently measured based on the local wisdom of the local community.

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Design Metric Indicator to Improve Quality Software Development (Study Case: Student Desk Portal)

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Procedia computer science 2018年 135卷 616-623页

作者： Reina Setiawan Zulfany Erlisa Rasjid Andy Effendi Computer Science Department School of Computer Science Bina Nusantara University Jl. K.H. Syahdan No. 9 Jakarta 11480 Indonesia Computer Science Department BINUS Graduate Program - Doctor of Computer Science Bina Nusantara University Jl. K.H. Syahdan No. 9 Jakarta 11480 Indonesia Information Systems Department School of Information Systems Bina Nusantara University Jl. K.H. Syahdan No. 9 Jakarta 11480 Indonesia

The development of Information Technology and Communications facilitate people running their daily lives. One of the important role in development is application development which is the main element in the development of technology. Due to this reason, it is required to have an application that would satisfy the criteria of standard qualities without any tolerance towards error and failure during process. This paper focused on the design of indicator that can be used in measuring qualities in application development, with Student Desk Portal at Bina Nusantara University used as case study is accessed by thousands of students each week. For this reason, the quality of the application is extremely important. The designed indicators are applied in the development of 35 modules in the Student Desk Portal application. The result shows that after applying the designed indicators in the application development, the number of bugs and errors found in the implementation drastically reduced from 43% to 23%.

关键词： Quality Software Application Indicator Software Metric Student Desk Portal

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Business Platform Model for Smart Home for Technology Planning Task Force

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IOP Conference Series: Materials science and Engineering 2019年第2期662卷

作者： Melyani Melyani Raymond Kosala Benny Ranti Suhono Supangkat Ford Lumban Gaol System Information STMIK Nusa Mandiri Bekasi Indonesia Computer Science Department Binus Graduated Program- Doctor of Computer Science Bina Nusantara University Jakarta Indonesia STEI Bandung Institute of Technology Bandung Indonesia

In this study we used an architectural research method based on the Open Services Gateway Initiative and Mobile Agent Technology, which is a model for analyzing smart home business platforms for technology governance planning tasks that include the recommended decision flow process and as recommendations from established business models and expanded to include a series of additional parameters needed to produce a business platform so that it can analyze the business model offered by the developer and detailed analysis of proposed governance in the service sector. And finally this research produces a Framework that presents a technology governance model for updating strategic plans and governance models for technology and frameworks designed to meet the needs of the elderly population and as recommendations for smart home management that aim to measurably improve the welfare of people in Indonesia. The proposed model and strategy recognizes the diversity of the community with existing providers of household tools and developers to optimize resources to achieve the goals and objectives of elderly smart home residents

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A Whole Crow Search Algorithm for Solving Data Clustering

A Whole Crow Search Algorithm for Solving Data Clustering

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International Conference on Technologies and Applications of Artificial Intelligence (TAAI)

作者： Ze-Xue Wu Ko-Wei Huang Abba Suganda Girsang Department of Electrical Engineering National Kaohsiung University of Science and Technology Kaohsiung City Taiwan R.O.C Computer Science Department BINUS Graduate Program-Master of Computer Science Bina Nusantara University Jakarta Indonesia

Data clustering is a well-known data mining approach that usually used to minimizes the intra distance but maximizes inter distance of each data center. The cluster problem has been proved to be an NP-hard problem. In this paper, a hybrid algorithm based on Whole optimization algorithm (WOA) and Crow search algorithm (CSA) is proposed, namely HWCA. The HWCA algorithm has the advantages of the search strategy of the WOA and CSA. In addition to, there are two operators used to improve the quality of solution, namely hybrid individual operator and enhance diversity operator. The hybrid individual operator is used to exchanges individuals from the WOA and CSA systems by using the roulette wheel approach. In other hand, the HWCA performs enhance diversity operator to improve the quality of each system. More over, the HWCA is incorporated with center optimization strategy to enhance diversity of each system. In the performance evaluation, the proposed MPGO algorithm was comparison WOA and CSA algorithm with six well-known UCI benchmarks. The results show that the proposed algorithm has a higher measure of accuracy rate with comparison algorithms.

关键词： Clustering algorithms Optimization Whales Search problems Wheels Benchmark testing Random variables

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Implementation on Indonesian property real estate industry based on service oriented architecture

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IOP Conference Series: Materials science and Engineering 2020年第1期725卷

作者： Ahmad Nurul Fajar Nunung Nurul Qomariyah Albert Baihaqi Siregar Information Systems Management Department BINUS Graduate Program-Master of Information Systems Management Bina Nusantara University Jakarta Indonesia 11480 Computer Science Department Faculty of Computing and Media Bina Nusantara University Jakarta Indonesia 11480 Department of Information Technology Universitas Sumatera Utara Medan Indonesia

This study focuses on the implementation of business property in real estate market. This is due to inability of the current technology to support the property products. Some people feel uncomfortable to buy houses from the online market. Buyers need to be very careful to deal with the sellers as the houses price is considered quite expensive. On the other hand, improving real estate market is still a challenge. This business still needs a physical representation, although it can be sold from the online market. In this paper, we propose the Service Oriented Architecture (SOA) system of virtual reality and drone. We use drone to help scanning the property units and then make 3D models with visual mapping so it can be run in a virtual reality environment, video 360. In real estate, business process can be developed in various ways. Our proposed SOA in this study can be used to integrate all of them.

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Design and Implementation Data Warehouse in Insurance Company

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Journal of Physics: Conference Series 2019年第1期1175卷

作者： Ryan Ari Setyawan Eko Prasetyo Abba Suganda Girsang Department of Informatics Engineering Janabadra University Yogyakarta Indonesia 55231. Computer Science Department Binus Graduate Program-Master of Computer Science Bina Nusantara University Jakarta Indonesia.

Insurance company are certainly has a rich of data from their business process. One of the data is related to business process sales. From this sales data can be used to analyze the condition of a company whether the condition of the company is in a good condition or not. The purpose of this research is to develop a technique to analyze this data from the company. The method used to implement the data analysis in this paper is to design a data warehouse. Use ninestep methodology as the method for design data warehouse and Pentaho as a tool for ETL (Extract, Transform, Load), OLAP analysis and reporting data, the results of this research concluded that the implementation of data warehouse for perform data analysis and reporting better and more effective.

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