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E-payment for Jakarta Smart Public Transportation, Using the Point System for E-Commerce

Journal of Physics: Conference Series 2020年第2期1477卷

作者： Nizirwan Anwar Rasjidin, Roesfiansjah Najoan, Daniel Stephanus Rolando, Christopher Tamimmanar Harco Leslie Hendric Spits Warnars Faculty of Computer Science Esa Unggul University Jakarta Indonesia 11510 Faculty of Engineering Esa Unggul University Jakarta Indonesia 11510 Computer Science Department School of Computer Science Bina Nusantara University Jakarta Indonesia 11480 Computer Science Department BINUS Graduate Program - Doctor of Computer Science Bina Nusantara University Jakarta Indonesia 11480

The ease of using transportation is one of the most critical things in the city with a significant population like Jakarta. The growth of the population in Jakarta is increased rapidly. The wage that Many transportations are causing a traffic jam in Jakarta. The government suggests that people use public transportation for their mobility. However, people choose to use their vehicles rather than public transportation. The main reason is that public transportation cannot guarantee the arriving time, whether it is on time or not. Many people move on to online transportation services. However, the massive growth of online transportation is still a contradiction as public transportation. People in Jakarta need faster mobility to go. This research is trying to make a system for public transport without any delay and hard to use it. This problem can be solved by building a new system. This system required e-wallet for payment in public transportation. This E-Wallet will search the possible route from the nearest location to the destination — only the public transport where there is a station that can use it. By using QR-Code generated by e-wallet on the mobile phone, people can scan it directly to a machine located in the station. This method will make a transaction faster than ever. Moreover, people can enjoy another feature like cashback and redeem the prize by a point system. In this era, e-commerce is dominating the market for purchasing something. This is also the attraction of the system. This system is also required excellent facilities from the government so that people can enjoy it.

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Agile Methods for ERP Implementation: A Systematic Literature Review

Agile Methods for ERP Implementation: A Systematic Literatur...

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International Conference on Information Management and Technology (ICIMTech)

作者： Santo Fernandi Wijaya Harjanto Prabowo Raymondus Raymond Kosala Meyliana Information Systems Department BINUS Graduate Program - Doctor of Computer Science Bina Nusantara University Jakarta Indonesia Management Department BINUS Graduate Program - Doctor of Computer Science Bina Nusantara University Jakarta Indonesia Computer Science Department BINUS Graduate Program - Doctor of Computer Science Bina Nusantara University Jakarta Indonesia Information Systems Department School of Information Systems Bina Nusantara Universit Jakarta Indonesia

Since ERP solution facilitates has changed in business environment and also has helped in supporting managerial level to make decision. Therefore, ERP system is important strategy for organization's survival. One of the critical issues that affect a successful ERP implementation is the implementation method. In previous research, it showed that many organizations had faced complexity when they were implementing ERP in order to meet their requirements. In other cases, the ERP systems are unable to provide solution which is a simplicity of the necessary business processes. The ERP implementation complexity is one of the factors that lead the failures. Thus, here, we intend to propose an agile approach to reduce complexity and eventually our intention is to improve ERP implementing to become more successful. In this study, we are employing a systematic literature review (SLR) approach to identify the principles factors of the agile methods for ERP implementation. In result of employing this SLR method, we found that agile values and principles are correlated in ERP implementation complexity.

关键词： Complexity theory Organizations Information systems computer science Bibliographies Systematics

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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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Measurement of QuestDone mobile application using 7 steps use case points method

Measurement of QuestDone mobile application using 7 steps us...

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2017 IEEE International Conference on Cybernetics and Computational Intelligence, CyberneticsCOM 2017

作者： Sutoyo, Rhio Hendric Spits Warnars, Harco Leslie Gaol, Ford Lumban Abdurachman, Edi Soewito, Benfano Computer Science Department BINUS Graduate Program - Doctor of Computer Science Bina Nusantara University Jakarta11480 Indonesia Computer Science Department School of Computer Science Bina Nusantara University Jakarta11480 Indonesia Computer Science Department BINUS Graduate Program - Master of Computer Science Bina Nusantara University Jakarta11480 Indonesia

ISBN: (纸本)9781538607831

The rise of mobile application is inevitable. Every year, the number of mobile application is increased. It is important for mobile application project owners to calculate the required resources before building a mobile application. In software metric, Use Case Points method is able to count software size of mobile application based on their functionality. This method utilizes use case diagram as their computation factors in the estimation process. Moreover, two other complexity factors are also considered in this method, which are: Technical Complexity Factor and Environment Factor. In this paper, we present software size calculation of QuestDone Mobile Application using 7 steps use case points method. QuestDone has been implemented, but we do not know its software size (i.e. how big the software, how much it cost, how many people is needed). As the result from use case points method, the Use Case Points value of QuestDone is 126.88 with Effort Estimation equal to 889 hours. The software size estimation process of QuestDone Mobile Application detailed in this paper can give an insight to project owners to count software size of other similar projects. © 2017 IEEE.

关键词： Application programs

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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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Cloud computing model in higher education

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IOP Conference Series: Materials science and Engineering 2020年第1期852卷

作者： Bagus Mulyawan Raymond Kosala Benny Ranti Suhono Harso Supangkat Binus Graduate Program Doctor of Computer Science Bina Nusantara University Jakarta Indonesia Faculty of Information Technology Universitas Tarumanagara Jakarta 11440 Computer Science Department Faculty of Computer Science Universitas Indonesia Indonesia 16424 Schoolof Electrical Engineering and Informatics Bandung Institute of Technology Bandung Indonesia

Currently, higher education is institutions that should be managed as a global business institution. Higher education should improve continually its business processes according to the demands of increasing its stakeholders. of the problems faced in the development of educational, activities if related to the use of information technology for each service in higher education for stakeholders is the issue of available funds. Cloud computing also has advantages related to infrastructure and maintenance and increases operating efficiency. Most institutions are currently moving towards cloud computing technology to reduce operational costs. For achieving these objectives, the institutions need to be supported by reliable technology. This study aim to propose cloud model for education and IT Governance conceptual framework for Cloud Computing model adoption, Tarumanagara University as a study case.

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Model of developing key performance indicator to increase the quality of education during the Covid-19 pandemic

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Journal of Physics: Conference Series 2021年第1期1832卷

作者： E Selviyanti W Sardjono M Mukhlis M Tohir M Maswar A Fariz Health Department Politeknik Negeri Jember Jember Jawa Timur Indonesia 68124 Information Systems Management Department BINUS Graduate Program – Master of Information Systems Management Bina Nusantara University Jakarta Indonesia 11480 Faculty of Teacher Training and Education Islamic State Institute of Jember Jawa Timur INDONESIA Universitas Ibrahimy Situbondo Indonesia Computer Network Engineering SMK 3 Perguruan 'Cikini' Jakarta Indonesia 12640

Indonesia is one of the countries whose people are most affected by the 2019 corona virus (COVID-19). When the corona virus spreads faster, the Indonesian government imposed large-scale social restrictions in big cities to villages in Indonesia. With the changing situation in carrying out work activities during this pandemic, it will certainly affect the quality of organization in companies and the quality of education in schools and colleges. In order to identify all processes in teaching and learning activities that are running well or not, schools need to monitor and measure employee performance. Key performance indicators (KPIs) are generally used as benchmarks to determine how well a company's performance can be represented by employee performance. In this study, the key performance indicator preparation process was carried out through the stages of designing a questionnaire, distributing questionnaires to employees in educational institutions, conducting factor analysis and then developing a KPI model. The output is in the form of a KPI model that can be used as a reference in the formation of KPIs in educational institutions, namely Y = 5,360 + 1,380 X1-1, 068 X3.

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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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Design Securing Online Payment Transactions Using Stegblock Through Network Layers

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IOP Conference Series: Materials science and Engineering 2020年第1期879卷

作者： E Ardhianto A Trisetyarso W Suparta B S Abbas C H Kang Computer Science Departement BINUS Graduate Program – Doctor of Computer Science Bina Nusantara University Jakarta Indonesia. Faculty of Information Technology Universitas Stikubank Semarang Indonesia. Departement of Informatics Universitas Pembangunan Jaya South Tangerang Banten Indonesia

The aim of this work is designing a safe online payment activities scheme using steganography techniques with stegblock concept. These works are implemented at the computers network layers. The stegblock will convert the transactions data which sent among network into other data's form, it means the data such as ID Number, Account Number, Passwords and others are converted with other data called cover. Finally, the system sends the cover without the real data, it just represented data and able to read by the receiver. The result shows that this design provides data security, undetectability, and integrity for payment transactions using 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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