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3rd International Conference on computer science and Computational Intelligence, ICCSCI 2018

作者： Surantha, Nico Rino Computer Science Department BINUS Graduate Program-Master of Computer Science Bina Nusantara University Jakarta11480 Indonesia

Employee mobility is an important issue for companies that have a goal to become global company. The company often asks the employees to do some assignments outside the office area, either inside or outside of their home country. A portable virtual private network (VPN) is a device that enables the employees to perform remote access connection to internal computer resources via internet. Therefore, the employee can still work on their assignments in company server while doing business travelling. In this paper, the secure and low power portable VPN prototype is being proposed. The prototype of the VPN portable gateway device is built using OpenVPN-R core applications that are modified from OpenVPN version 2.3.10 with OpenSSL version 1.0.2h. It is implemented into a single board computer (SBC) Raspberry Pi 3 Model B +. The modification performed in this system is the inclusion of Rabbit stream cipher algorithm to OpenSSL as one of the alternative options of TLS ciphersuites on OpenVPN. The prototype portable VPN gateway device generated from this research has Rabbit ciphersuites, platform independent, and has additional features inbuilt firewall. The simulation results show that the proposed prototype can perform secure data transfer. On the other hand the proposed Rabbit stream cipher algorithm shows better performance than other algorithm in terms of data transfer rate, CPU utilization, and memory usage which leads to smaller power consumption. © 2018 The Authors. Published by Elsevier Ltd.

关键词： Virtual private networks

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Single Layer & Multi-layer Long Short-Term Memory (LSTM) Model with Intermediate Variables for Weather Forecasting 3

Single Layer & Multi-layer Long Short-Term Memory (LSTM) Mod...

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3rd International Conference on computer science and Computational Intelligence, ICCSCI 2018

作者： Salman, Afan Galih Heryadi, Yaya Abdurahman, Edi Suparta, Wayan Computer Science Department School of Computer Science Bina Nusantara University Jakarta11480 Indonesia Computer Science Department BINUS Graduate Program Doctor of Computer Science Bina Nusantara University Jakarta11480 Indonesia Department of Electrical Engineering Faculty of Science and Technology Sanata Dharma University Yogyakarta55282 Indonesia

Weather forecasting has gained attention many researchers from various research communities due to its effect to the global human life. The emerging deep learning techniques in the last decade coupled and the wide availability of massive weather observation data have motivated many researches to explore hidden hierarchical pattern in the large volume of weather dataset for weather forecasting. The purposes of this research are to build a robust and adaptive statistical model for forecasting univariate weather variable in Indonesian airport area and to explore the effect of intermediate weather variable related to accuracy prediction using single layer Long Short Memory Model (LSTM) model and multi layers LSTM model. The proposed forecasting model is an extension of LSTM model by adding intermediate variable signal into LSTM memory block. The premise is that two highly related patterns in input dataset will rectify the input patterns so make it easier for the model to learn and recognize the pattern from the training dataset. In an effort to achieve a robust model for learning and recognizing weather pattern, this research will also explore various architectures such as single layer LSTM and Multiple Layer LSTM (4 layers LSTM). The dataset is weather variable data collected by Weather Underground at Hang Nadim Indonesia airport. This research used visibility as predicted data and temperature, pressure, humidity, dew point as intermediates data. The best model of LSTM in this experiment is multiple layers LSTM and the best intermediate data is pressure variable. Using the pressure variable this model has gained the validation accuracy 0.8060 and RMSE 0.0775. © 2018 The Authors. Published by Elsevier Ltd.

关键词： Long short-term memory

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Image Size, Color Depth, Age variant on Convolution Neural Network 1

Image Size, Color Depth, Age variant on Convolution Neural N...

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1st Indonesian Association for Pattern Recognition International Conference, INAPR 2018

作者： Pranoto, Hady Budiharto, Widodo Hendric Spits Warnars, Harco Leslie Matsuo, Tokuro Heryadi, Yaya Computer Science Department School of Computer Science Bina Nusantara University Jakarta11480 Indonesia Computer Science Department BINUS Graduate Program - Doctor of Computer Science Bina Nusantara University Jakarta11480 Indonesia Graduate School of Industrial Technology Advanced Institute of Industrial Technology Tokyo Japan

ISBN: (纸本)9781538694220

Facial recognition as of biometric authentication used in the field of security, military, finance and daily use is become a trend or famous, because of its natural and not intrusive nature. Many methods for face recognition such as holistic learning, the use of local features, shallow learning and deep learning, some methods are susceptible to variations in pose change, illumination, expression and age variation. State of the art of face recognition today is a deep learning technique that delivers high accuracy. In this paper author replicate an face recognition using deep learning architecture called OpenFace Convolutional Neural Network. In this research author make variation on the size of image, color dept and age, and see how that factor impact on accuracy of face recognition in that architecture. As the result from the research, the accuracy of a model depends on the image size, color depth, and age variation, but in OpenFace CNN that recognition still provides fairly good accuracy when reducing the size of image and color depth, as long as the image can still be detected on the landmark facial, so the alignment process can be done on the face image. © 2018 IEEE.

关键词： Face recognition

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A Geoelectric Approach for Karst Groundwater Analysis

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IOP Conference Series: Earth and Environmental science 2022年第1期998卷

作者： Amallia Ferhat Taufik Seizarsyah Mohammad Prasanto Bimantio Nanda Satya Nugraha Dian Pratama Putra Teddy Suparyanto Alam Ahmad Hidayat Bens Pardamean Agribusiness Department Institute of Agricultural STIPER Yogyakarta 55282 Indonesia Geophysical Engineering Department Universitas Pembangunan Nasional 'Veteran' Yogyakarta Indonesia Agricultural Crop Technology Department Institute of Agricultural STIPER Yogyakarta 55282 Indonesia Forestry Department Institute of Agricultural STIPER Yogyakarta 55282 Indonesia Agricultural Engineering Department Institute of Agricultural STIPER Yogyakarta 55282 Indonesia 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

Artesian well is one of the major efforts to obtain water source for fulfilling water demands in Eroniti Conservation park, Ponjong, Yogyakarta by drilling deep into several soil layers. Vertical Electrical Sounding (VES) method is the most common approach to determine the existence of groundwater. The method probes layers of rock below the ground surface based on their electrical properties, since the electrical resistivity of each layer is theoretically different. This study aims to utilize the VES approach for investigating the properties of the rock layers in the area to explore groundwater sources. We install six different VES points in the observation area using Schlumberger electrode configuration. The methodology of the work consists of three steps: the planning of the placement of the sounding points, the measurement step performed by a unit of IRIS SYSCAL Resistivity meter, and the data analysis and interpretation. Employing the resistivity analysis, we conclude that the observed region consists of Mediterranean soil as a result of weathering of limestone as well as lithology of the limestone. Furthermore, there are two types of aquifer found in the area: a perched aquifer found 27 meters below the ground surface of VES point 1 and a confined aquifer 166 meters below the ground surface of VES point 2 and 6.

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Factors considered for the success of the Massive Open Online Course in the era of Smart Education : Systematic Literature Review

Factors considered for the success of the Massive Open Onlin...

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International Conference on ICT For Smart Society (ICISS)

作者： Jaka Suwita Raymond Kosala Benny Ranti Suhono Harso Supangkat Department of Computer Science Bina Nusantara University Jakarta Indonesia Computer Science Department Bina Nusantara University Jakarta Indonesia Electrical Engineering and Informatics School Bandung Institute of Technology Bandung Indonesia

The Internet of Things has a big influence on the appearance of new technologies in learning. Smart education is a learning concept that is developed by intelligent technology development. Therefore smart education must be able to provide an update of learning methods. Smart education must make it easier for users to interact and collaborate to make, organize, and share knowledge from anywhere and at any time accessible. In this paper, we conduct a Systematic Literature Review (SLR) research method to find out the features that exist in MOOCs in the era of intelligent education. This paper presents a comprehensive view of the development of MOOC features in the era of smart education in higher education. Our contribution is comprehensive information about MOOC features in the era of intelligent education in higher education, to improve the quality of learning, and possible use in practice.

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Design Thinking for Computational Creativity - A Case Study of International Exchanges Using Game and Animation (2014-Recent)

Design Thinking for Computational Creativity - A Case Study ...

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2019 IEEE International Conference on Engineering, Technology and Education, TALE 2019

作者： Chen, Tin-Kai Chowanda, Andry Udjaja, Yogi Fang, Hsiao-Lin Shu-Te University Department of Animation and Game Design Taiwan Bina Nusantara University Computer Science Department Jakarta11480 Indonesia Tainan University of Technology Department of Living Service Industry Taiwan

ISBN: (纸本)9781728126654

The Asia-Pacific region has been dominating the global video game market for years. In recent years, an increasing number of Indonesia students are turning their interest to study in Taiwan. However, Chinese education in Indonesia is fundamentally based on studies of Mainland China, therefore lacking opportunities for students to understand profoundly Taiwan's language and culture. Furthermore, there is a lack of opportunities for students to understand game design power and industry in Taiwan. The purpose of this on-going program (2014-recent) is to enhance the understanding of game and animation design education in Taiwan, through exchanges with students in Indonesia. It aims to promote exchanges between the faculty and students at the universities with faculties, lecturers and artists in Taiwan for collaborative work, especially in game art design, game engine and animation. It sincerely hopes that students could understand profoundly Taiwan's language and culture by game and animation online tutorials, and provide opportunities for students to understand game design power and industry in Taiwan, Indonesia, and worldwide market. After a year of implementing the four points mentioned in this article, we have already observed some evident outcome. The biggest achievement comes from the workshop which has received significant responses and an increasing number of attendances from both Taiwan and Indonesia. In the near future, it hopes that we can hold a public event such as lecture, workshop and exhibition to raise awareness of and develop an affinity with Taiwanese langue and culture among the general public using the design thinking approach for computational creativity, such as co-design Taiwan language on-line course or game-based learning. © 2019 IEEE.

关键词： Students

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In vivo anti-diabetic activity test of ethanol extract of the leaves of Cassia Siamea Lamk 3

In vivo anti-diabetic activity test of ethanol extract of th...

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3rd International Conference on computer science and Computational Intelligence, ICCSCI 2018

作者： Tanty, Heruna Permai, Syarifah Diana Pudjihastuti, Herena Department of Mathematics School of Computer Science Bina Nusantara University Jakarta11480 Indonesia Department of Statistics School of Computer Science Bina Nusantara University Jakarta11480 Indonesia

Cassia siamea Lamk has been used as a traditional medicine in Indonesia including to treat diabetes mellitus (DM). This study aimed to investigate in vivo anti-diabetic activities of the ethanol extract, ethyl acetate fraction and n-hexane fraction of Cassia siamea Lamk in alloxan-induced mice. The study concluded that: (1) the ethanol extract and n-hexane fraction of Cassia siamea Lamk (Juar) leaves have anti-diabetic activity in Webster albino mice induced with alloxan, (2) The extract of Cassia siamea Lamk leaves, the fractions of 500 mg ethyl acetate and 500 mg n-Hexana of Cassia siamea Lamk provided better performances in lowering blood glucose levels compared to Ethanol extracts both 500 mg and 1000 mg. In the form of ethyl acetate and n-hexane fraction at a dose of 150 mg/kg BW provided the highest anti-diabetic activity compared to the other test groups that are able to decrease blood sugar level by 10.25% and 9.98% respectively. Its effect is equivalent to glibenclamide at a dose of 0.65 mg/kg BW which can lower blood sugar levels by 9.27%. Thus Cassia siamea Lamk leaf is very potential as an alternative drug antidiabetes mellitus, and (3) the 1000 mg Ethanol extract, 150 mg Ethyl acetate and 150 mg n-Hexana had no difference effects in lowering blood glucose levels compared to the anti-diabetic chemical drug glibenclamide. © 2018 The Authors. Published by Elsevier Ltd.

关键词： Mammals

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Linear regression model using bayesian approach for energy performance of residential building 3

Linear regression model using bayesian approach for energy p...

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3rd International Conference on computer science and Computational Intelligence, ICCSCI 2018

作者： Permai, Syarifah Diana Tanty, Heruna Department of Statistics School of Computer Science Bina Nusantara University Jakarta11480 Indonesia Department of Mathematics School of Computer Science Bina Nusantara University Jakarta11480 Indonesia

In the statistics there are two types of points of view, Frequentist and Bayesian. The difference between Frequentist and Bayesian is the point of view in terms of looking at a parameter. Bayesian views a parameter as a random variable, it means the value is not a single value. The modeling method that most commonly used by researchers is linear regression model. The Frequentist methods that are often used in linear regression are Ordinary Least Square (OLS) and Maximum Likelihood Estimation (MLE). However, along with the Bayesian development, several studies have shown better modeling results than the Frequentist method. On the other hand, Bayesian approach is also used when assumptions in linear regression model using OLS are not met. Therefore, this research performs linear regression modeling with Bayesian approach. The analysis showed that linear regression model using OLS does not met all assumptions. It means the model is not good enough. Then, Bayesian approach can be used as an alternative for the model. The comparison of Bayesian and Frequentist modeling results using several criteria such as RMSE, MAPE and MAD. The results showed that the linear regression method using Bayesian approach is better than Frequentist method using OLS. © 2018 The Authors. Published by Elsevier Ltd.

关键词： Linear regression

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Mobile game Application for Religion engagement

Mobile game Application for Religion engagement

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International Congress on Applied Information Technology

作者： Dedy Prasetya Kristiadi Vindy Richard Sambera Andy Julianto Harco Leslie Hendric Spits Warnars Kiyota Hashimoto STMIK Raharja Tangerang Indonesia Game Application & Technology Program School of Computer Science Bina Nusantara University Jakarta Indonesia School of Computer Science Bina Nusantara University Jakarta Indonesia BINUS Graduate Program - Doctor of Computer Science Bina Nusantara University Jakarta Indonesia Faculty of Technology and Environment Prince Songkla University Phuket Campus Thailand

ISBN: (数字)9781728158624

ISBN: (纸本)9781728158631

Religion is a part of a fundamental human right to serve and worship their God according to their religion and belief. Mobile game application along with the development of mobile phone technology such as a smartphone, tablet, and laptop, can be used to increase the player or user interest to engage with religion thing. Using the mobile game application in mobile gadgets will expand quickly to install and use for religion engagement. The player can learn religion things with fun and entertain ways, where the player does not realize that they do something serious in an unserious way. This paper will explain the model system design for mobile game application for learning Catholicism in fun and entertaining way and for the first development was limited to only three Catholic catechisms such as bible learning, church lesson, and liturgy celebration. For the early development, three types of games were developed such as True or False game, Scramble words game, and multiple-choice game. The mobile game model was designed with a use case diagram, storyboard, and class diagram, where for the current implementation the mobile game application was implemented using a ten tables database.

关键词： Games Land mobile radio Random access memory computer science Mobile applications Mobile handsets Information systems

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Architecture design of the nusantara traditional Wastra digital repository

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IOP Conference Series: Earth and Environmental science 2021年第1期729卷

作者： M Purbasari Sasmoko O S Caroline S R. Manalu Visual Communication Design Department Graphic Design and New Media Program BINUS Northumbria School of Design Bina Nusantara University Jakarta Indonesia 11480 Research Interest Group in Educational Technology Bina Nusantara University Jakarta Indonesia 11480 Primary Teacher Education Department Faculty of Humanities Bina Nusantara University Jakarta Indonesia 11480 Interior Design Department School of Design Bina Nusantara University Jakarta Indonesia 11480 Computer Science Department School of Computer Science Bina Nusantara University Jakarta Indonesia 11480

The nusantara traditional wastra (NTW) is the Indonesian biodiversity product that has not been formally identified as the national referral and has yet been commercially oriented. The research objectives were to formulate the understanding of NTW dan to construct a valid architecture design of the nusantara Traditional Wastra Digital Repository (NTWDR). It was described as implementing the digital inventory business in the form of a smart portal template that acted as an infinite window of the complete Indonesian traditional wastra and as a marketplace for the Indonesian traditional wastra value chain. The research used the Neuroresearch approach of exploratory research through literature studies and FGD with the Delphi Technique for the validity of the design. The NTW's boundaries and the NTWDR's design in the form of a portal-based website are set as the results.

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