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Hotel Content-Based Recommendation System

Journal of Physics: Conference Series 2020年第1期1485卷

作者： Kristian Wahyudi Johanes Latupapua Ritchie Chandra Abba Suganda Girsang Computer Science Department BINUS Graduate Program-Master of Computer Science Bina Nusantara University Jakarta Indonesia 11480.

Content based recommendation system tries to recommend items similar to those a given user has likely in the past, whereas systems designed according to the collaborative recommendation paradigm identify users whose preferences are similar to those of the given user and recommend items they have liked. The proposed recommendation system is discussing about Data finitihotel recommendations for a place across U.S. The selected process for the recommendation is calculating the rating of hotel categories on the city. By calculating hotel categories from several city by combining two features namely categories and taken from the city of the selected hotelcategory as well. The result of process will be recommended hotel with highest ratingto the user.

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COVID-19 Testing Pipeline: Lesson Learned

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IOP Conference Series: Earth and Environmental science 2021年第1期794卷

作者： Dian Amirulloh Digdo Sudigyo Arif Budiarto Ika Nurlaila Erlin Listiyaningsih Andrew Simon Bens Pardamean Genetics Indonesia Jakarta Indonesia 12940 Bioinformatics & Data Science Research Center Bina Nusantara University Jakarta Indonesia 11480 Computer Science Department School of Computer Science Bina Nusantara University Jakarta Indonesia 11480 Information System Department BINUS Online Learning Bina Nusantara University Jakarta Indonesia 11480 Computer Science Department BINUS Graduate Program - Master of Computer Science Program Bina Nusantara University Jakarta Indonesia 11480

The transmission of severe acute respiratory syndrome coronavirus 2 (SARS CoV-2) in Indonesia is seen to be uncontrollably increasing that urges the government to leverage the capacity for the disease detections. Real-time polymerase chain reaction (RT-PCR), rapid test and computed tomography (CT) scan are the most common methods to determine if one has been infected regardless of whether or not the common symptoms of such Corona Virus Disease 2019 (COVID-19) surface. Among these three, RT-PCR is considered the gold standard for qualitative and quantitative assessment of SARS CoV-2 detection. The present paper aims at elaborating the framework of Roche's RT-PCR machine employed specifically for SARS CoV-2 detection performed by Genetics Indonesia which is deemed to be efficient and relatively quicker than other detection kits. RT-PCR machine detected SARS Cov-2 with RNA amplification curve equals to 10 copies RNA below the cut off value of Crossing point (Cp) positive control. Also elucidated in the paper is the implementations of EAV RNA and LightCycler® 96 RT-PCR System through which analysis time, amounts of individual required sample, as well as the reagents, can be accordingly reduced.

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Analysis of Gamification Models in Education Using MDA Framework 3

Analysis of Gamification Models in Education Using MDA Frame...

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

作者： Kusuma, Gede Putra Wigati, Evan Kristia Utomo, Yesun Putera Suryapranata, Louis Khrisna Computer Science Department BINUS Graduate Program Master 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 Doctor of Computer Science Bina Nusantara University Jakarta11480 Indonesia

Gamification nowadays is being one of techniques that can increase motivation and encourage the involvement of users, particularly in education domain that requires teaching and learning activities to be more fun and interesting. This paper surveys some analysis of gamification models. MDA framework is used to identify surveyed papers by breaking them down into three categories: mechanics, dynamics and aesthetics. Findings from the survey show there are many gamification models in education domain. However, there are some very representative gamification models could be used as a method to increase motivation, achievement and engagement in learning activities. By knowing the latest gamification models in education domain stated in this paper, it could help gamification practitioners to make new strategies in learning activities to increase students' motivation, achievement and involvement. We also suggest some gamification strategies, which combine several mechanics in such a way to create dynamics that results in all types of aesthetics outputs. © 2018 The Authors. Published by Elsevier Ltd.

关键词： Students

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Defying the certification diploma forgery with blockchain platform: A proposed model 12

Defying the certification diploma forgery with blockchain pl...

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12th International Conference on ICT, Society and Human Beings, ICT 2019, 5th International Conference on Connected Smart Cities, CSC 2019 and the 16th International Conference on Web Based Communities and Social Media, WBC 2019

作者： Meyliana Chandra, Yakob Utama Cassandra, Cadelina Surjandy Eka Widjaja, Henry Antonius Fernando, Erick Prabowo, Harjanto Joseph, Charles Information Systems Department School of Information Systems Bina Nusantara University Jakarta 11480 Indonesia Computer Science Department BINUS Graduate Program - Doctor of Computer Science Bina Nusantara University Jakarta 11480 Indonesia Bloocys Foundation Pte. Ltd 079903 Singapore

ISBN: (纸本)9789898533906

In the University setting, part of management recorded all education transaction since the students register until they graduate. In this point, the transaction raises several new and crucial challenges. At a closer look, the concerns appeared due to no data integration, verification, and validation from parties both inside or outside of the university. In this respect, the data is not centralized or integrated. As this backdrop, this causes repeated data confirmation, and no one can authenticate the data validity when distributed to other parties. In this point of entry, the diploma certification forgery has become one of the significant issues in education in Indonesia. As a framework that enables the data integration, Blockchain contains verified data on every single of a transaction, so the data is trustworthy. With this in mind, this paper aims to discuss the best blockchain model for the university level. This study is qualitative-based research. As a result, McRhys model is introduced as a potential and implementable blockchain model in university in Indonesia. © 2019 IADIS Press. All rights reserved.

关键词： Blockchain

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A Design of Deep Learning Experimentation for Fruit Freshness Detection

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IOP Conference Series: Earth and Environmental science 2021年第1期794卷

作者： Febrian Valentino Tjeng Wawan Cenggoro Bens Pardamean 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 Bioinformatics and Data Science Research Center Bina Nusantara University Jakarta Indonesia 11480

Indonesia is a country with a tropical climate so that fruit and vegetable plants can grow easily in *** have many good nutrients such as vitamins, proteins and others. But the fruit also has a period where the fruit is said to be fresh *** this time there are still many fruit supplier companies that send fruit unfit for consumption due to lack of accuracy in the process of sorting the fruit when the fruit is taken from the plantation and the entry of other fruit into an improper packaging. Thus, it makes detecting food spoilage from the production stage to consumption is very important. We propose a design of computer vision-based technique usingdeep learning with the Convolutional Neural Network (CNN) model to detect fruit freshness. The specially designed CNN model is then evaluated with public datasets of fruits fresh and rotten for classification derived from Kaggle.

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A literature review of crowd-counting system on convolutional neural network

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

作者： A Chrysler R Gunarso T Puteri H L H S Warnars 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

With the proliferation usage of video surveillance for safety, traffic control, and privacy purposes and with the constant growth of population, it is important to keep monitoring using Closed-Circuit Television (CCTV). With new upcoming developed technologies, new systems and algorithms are introduced and implemented to the crowd counting system today retrieving live video surveillance from the CCTV. However, recent studies show that there are some challenges still faced regarding the crowd counting system which uses the density estimation. The problems that occurred have resulted from the inaccuracy of the system that is caused by several factors. Factors such as the perspective distortion which is caused by the lack of data training and the method such as face detection is an ineffective method to determine the population density. Studies proposed have projected the idea of developing a more robust crowd counting methodology by implementing crowd counting by detection, clustering, and regression. Implementing these methods using the Convolutional Neural Network (CNN) will better the result of the detection since in CNN the image can be inputted and it will undergo several layers which will result in the system being able to differentiate one image from the other. With CNN the process of crowd counting will be able to be more advanced.

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PapSmear Image Recording System for Artificial Intelligence Data Collection

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IOP Conference Series: Earth and Environmental science 2021年第1期794卷

作者： Tjeng Wawan Cenggoro 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 Computer Science Department BINUS Graduate Program - Master of Computer Science Bina Nusantara University Jakarta Indonesia 11480

Cervical cancer is one of the most leading causes of death for women worldwide. To reduce the mortality caused by cervical cancer, early screening techniques such as pap smear need to be carried out more extensively. Forthat, the availability of an automatic screening system is essential. In this paper, we proposed a system that can collect the dataset needed to train an Artificial Intelligence (AI) system for the automatic pap smear screening system. The proposed system can be integrated seamlessly to the current pap smear result recording procedure; hence avoiding any possible complication.

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Weeds e-Catalog as a Tool for Identification of Weeds in Plantation

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IOP Conference Series: Earth and Environmental science 2021年第1期794卷

作者： Hangger Gahara Mawandha Teddy Suparyanto Bens Pardamean Agrotechnology Department Institute of Agriculture STIPER Yogyakarta Indonesia 55281 Agricultural Engineering Department Institute of Agriculture STIPER Yogyakarta Indonesia 55281 Bioinformatics and Data Science Research Center Universitas Bina Nusantara Jakarta Computer Science Department BINUS Graduate Program Master of Computer Science Program Bina Nusantara University Jakarta

Weeds are one of the organisms that interfere with plant growth. Information about the identity of weeds becomes very important on plantations. Although weeds data digitization has been done a lot, currently there is still not much weeds data information system can be accessed online. Weeds management is often dealt with weeds herbarium or weeds photographs. In an effort to provide a good information system for farmers, this research aims to create a database of various types of weeds and an information system that can be accessed online. The methodology for developing a weed catalog information system uses the Software Development Life Cycle (SDLC). Weed samples in database were collected through systematic random sampling in the form of images and text. The result of this study is a Weeds Electronic Catalog or Weeds e-Catalog that can facilitate the information of weeds identity such as names, classifications, morphology, life cycles, and habitats of various types of weeds that grow on plantation land. Weeds e-Catalog can be used by plantation practitioners and farmers to make decisions in controlling weeds.

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An Intelligent Model Development for Determining a Friendly Match Sparring-Partner in Football Game 3

An Intelligent Model Development for Determining a Friendly ...

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3rd International Conference on Information Management and Technology, ICIMTech 2018

作者： Utama, Ditdit Nugeraha Rizky, Muhammad Bona Akbar, Muhammad Faizal Febrian, Ilman Al-Ghani, Rasyid Computer Science Department Bina Nusantara University BINUS Graduate Program-Master of Computer Science Jakarta11480 Indonesia Computer Science Universitas Mercu Buana Jakarta Indonesia

ISBN: (纸本)9781538658215

The statistical data coming from football match play an interesting phenomenon. They are possibly utilized by a football team to select a strategy to play. One strategy is to choice a proper sparring-partner in exercise. For fulfilling the purpose, the study with objective is to construct an intelligent model for choosing the most proper sparring-partner for friendly-match was academically performed. Here, two methods fuzzy logic and Euclidean distance are applied as fundamental method of model. The method fuzzy logic is operated by experts to justify nine selected parameters' urgency, and the method Euclidean distance is benefitted to calculate the fitness value of two soccer teams' combination. The object oriented method is employed to design the model. Finally, in the study result, the created model shows the list of the fittest sparring-partners of each team recorded. © 2018 IEEE.

关键词： Fuzzy logic

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Prevention Structured Query Language Injection Using Regular Expression and Escape String 3

Prevention Structured Query Language Injection Using Regular...

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

作者： Soewito, Benfano Gunawan, Fergyanto E. Hirzi Frumentius Computer Science Department BINUS Graduate Program - Master of Computer Science Bina Nusantara University Jakarta11480 Indonesia Industrial Engineering Department BINUS Graduate Program - Master of Industrial Engineering Bina Nusantara University Jakarta11480 Indonesia Investment Coordinating Board of the Republic of Indonesia Jakarta12190 Indonesia

Information technology enables for new way of commerce, which is a commerce activities through online media (e-commerce). Security becomes an important issue in online-system, because such system is accessible by anyone through the global network -internet. Security in terms of confidentiality, integrity, and availability becomes goals that must be achieved by any system generally, and commerce system especially, because this kind of system contains many sensitive data like customer data and transaction data. SQL Injection is a vulnerability and threat, with the most occurrence in a web based system. In this research we evaluate and analyze source code against SQL injection, and we use regular expression and escape string to prevent the SQL injection. The results of this study are findings of system vulnerability against SQL injection, which are proven by the ability to get data from database, with SQL injection techniques. System vulnerabilities were analyzed, in order to design and implement the solution for it. The solutions then tested, to validate that it has proven effectively fix the vulnerabilities, and can prevent the exploitation by SQL injection. In the end, the conclusion is that initially the system is vulnerable against SQL injection, but then the solution that being implemented has proven effectively fix the issue. © 2018 The Authors. Published by Elsevier Ltd.

关键词： Sensitive data

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