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Virtual Plant Computational Model of Green-Leaf Vegetable Plant Bok Choy (Brassica chinensis L.) for Investment Decision

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

作者： D. N. Utama A. Wibowo Computer Science Department BINUS Graduate Program – Master of Computer Science Bina Nusantara University Jakarta Indonesia 11480

Plant computational modelling is a part of ecological informatics. It is a research domain that model the plant/s and is correlated to an environmental issue. A vegetable is one imperative plant. It has an important role in aspects of health, the environment, and also the economy. The study was performed to make a plant computational model of the green-leaf vegetable plant Bok Choy that can suggest the environment-oriented decision in agriculture investment. Two methods functional structural plant modelling (FSPM) and simple mathematics are operated respectively to model the Bok Choy plant morphologically and the decision recommendation. The study produced the morphological 3-dimension (3D) model of the forty-fve-day-age plant Bok Choy and investment decision to plant Bok Choy in a hydroponic system.

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Performance Evaluation of Queue Algorithms for Video-on-Demand Application

Performance Evaluation of Queue Algorithms for Video-on-Dema...

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International Conference on Information Management and Technology (ICIMTech)

作者： Yoni Irawan Nico Surantha BINUS Graduate Program - Master of Computer Science Bina Nusantara University Jakarta Indonesia

ISBN: (数字)9781728170718

ISBN: (纸本)9781728170725

Nowadays, there are real-time internet applications that require low latency and high bandwidth usage. In order to satisfy this requirement, many active queuing algorithms are offered, such as RED, BLUE, and controlled delay (CoDel). The number of publications aimed at evaluating the performance of the active queue management (AQM) algorithm is still limited by using a network simulator and only comparing two algorithms. The combination of AQM and connection types (fairness and no-fairness) in real network implementation has not been discussed much. In this paper, we offer a comparison of the performance of three queuing algorithms, namely DropTail, BLUE, and CoDel, with two types of connections, namely fairness and no-fairness using real network devices and internet video streaming access. Experiments carried out in the real network environment using Sandvine PL8840's bandwidth management device. The quality of services (QoS) parameters that will be compared are throughput, latency, and packet loss. The comparison results show that fairness connections on all queuing algorithms can maintain low latency values; throughput is smaller than no-fairness connections. The absence of packet loss in streaming video based on the TCP protocol does not guarantee that the video being played runs well because it depends on the available bandwidth capacity.

关键词： Bandwidth Delays Packet loss Throughput Streaming media Quality of service

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Fingermath - Arithmetic Hand Gesture Game to Improve Early Childhood Mathematics Learning 4

Fingermath - Arithmetic Hand Gesture Game to Improve Early C...

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

作者： Yuliana, Dewi Suharjito Computer Science Department BINUS Graduate Program Master of Computer Science Bina Nusantara University Jakarta11480 Indonesia

ISBN: (纸本)9781728133331

Teaching mathematics has received priority in schools, because mathematics is the basis for development in understanding mathematics as a whole at school. computer technology used in teaching and learning can help improve children's preferences and abilities to learn mathematics in class, and can change attitudes of early childhood who are more critical, creative, and innovative. Jarimagic method is one method for learning to count on the fingers, where early childhood often communicate with fingers in learning mathematics in the classroom. For this reason, research attempts learning methods with interactive games with hand movements using the Jarimajic method and tools scratch 2.0. In this study, evaluation of data obtained through 20 child respondents was carried out by testing before using the game and after using the game, using Pre-Test and Post-Test analysis, which was divided into 2 results based on the preferences and abilities of early childhood learning mathematics in the classroom. From the study, the game development was carried out using the System Development Life Cycle (SDLC) method by taking the model of implementation the waterfall model. then a game is designed to overcome this problem. After the game is made, the game will be tested again for early childhood, with T-Test statistical analysis as the final data obtained from research that shows whether early childhood likes and increases ability to learn mathematics after the game is implemented. The results of this study are the realization of interactive game-based learning methods for early childhood in learning to count mathematics. especially in learning additions and collection using the jarimajic method so that children have the ability and preference in learning mathematics. © 2019 IEEE.

关键词： Learning systems

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Sarcasm Detection Using Multi-Channel Attention Based BLSTM On News Headline

Research Square

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Research Square 2020年

作者： Azwar, Azika Syahputra Suharjito Computer Science Department Binus Graduate Program Master Computer Science Bina Nusantara University Jakarta11480 Indonesia

Sarcasm is often used to express a negative opinion using positive or intensified positive words in social media. This intentional ambiguity makes sarcasm detection, an important task of sentiment analysis. Detecting a sarcastic tone in natural language hinders the performance of sentiment analysis tasks. The majority of the studies on automatic sarcasm detection emphasize on the use of lexical, syntactic, or pragmatic features that are often unequivocally expressed through figurative literary devices such as words, emoticons, and exclamation marks. In this paper, we introduce a multi-channel attention-based bidirectional long-short memory (MCAB-BLSTM) network to detect sarcastic headline on the news. Multi-channel attention-based bidirectional long-short memory (MCAB-BLSTM) proposed model was evaluated on the news headline dataset, and the results-compared to the CNN-LSTM and Hybrid Neural Network were excellent. © 2020, CC BY.

关键词： Sentiment analysis

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Unsupervised News Topic Modelling with Doc2Vec and Spherical Clustering

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Procedia computer science 2021年 179卷 40-46页

作者： Arif Budiarto Reza Rahutomo Hendra Novyantara Putra Tjeng Wawan Cenggoro Muhamad Fitra Kacamarga 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 Information System Department School of Information System Bina Nusantara University Jakarta Indonesia 11480 Eureka AI Singapore Computer Science Department BINUS Graduate Program - Master of Computer Science Bina Nusantara University Jakarta Indonesia 11480

In the digital and Internet era, companies are racing to profile their target users based on their online activities. One of the reliable sources is the news articles they read that can represent their interests. However, extracting latent information from the news articles is not an easy task for a human. In this paper, we introduced a practical model to automatically extract latent information from news articles with pre-determined topics. Our proposed model used unsupervised learning, thus alleviating the need for humans to label news items manually. Doc2vec was used to generate word vectors for each article. Afterward, a spectral clustering algorithm was applied to group the data based on the similarity. A supervised Long Short Term Memory (LSTM) model was built to compare the clustering performance. The best 1, best 3, and best 5 scores were used to evaluate our model. The result showed that our model could not outperformed LSTM model for the best 1 score. However, the best 5 score result indicated that our model was sufficiently robust to cluster the articles based on topic similarity. Additionally, the proposed unsupervised model was implemented in both an on-premise server, and a cloud server. Surprisingly, our proposed method could run faster in the cloud server despite its less number of CPU cores.

关键词： Topic Modelling Latent Information News Article Document Embedding Spherical Clustering

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Model Decision Support System For Diagnosis COVID-19 Using Forward Chaining: A Case in Indonesia

Model Decision Support System For Diagnosis COVID-19 Using F...

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International Conference on Cyber and IT Service Management (CITSM)

作者： Henderi Miftah Maulana Harco Leslie Hendrie S. Warnars Didik Setiyadi Taufik Qurrohman University of Raharja Tangerang Indonesia BINUS Graduate Program - Doctor of Computer Science Bina Nusantara University Jakarta Indonesia Bina Insani University Bekasi Indonesia

ISBN: (数字)9781728177014

ISBN: (纸本)9781728177021

The government in Indonesia and its staff work together to make tactical steps to prevent the spread of COVID-19 in the community. From the ministerial level to the heads of the provinces, regencies, and even the government. Therefore, this study aims to make a model decision support system to diagnose patients exposed to Covid-19, such as people in control, patients in oversight, and those who are positive for the Covid-19 Virus. Model decision support system development aims to provide information about the development of COVID- 19 and help the community in diagnosing themselves related to COVID-19 infection. In this study, the authors use the forward chaining method in application to get conclusions from the symptoms of the Covid-19. This research resulted in an application that patients exposed to the Covid-19, and it's also provided a solution for healing from patients. And this could be a reference for patients before consulting further with the doctor.

关键词： COVID-19 History Expert systems Viruses (medical) Decision support systems Lung Informatics

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ERP System Integration with Mobile Applications Using Service Oriented Architecture 4

ERP System Integration with Mobile Applications Using Servic...

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

作者： Erdiyana, Hikmat Fauzy Suharjito Computer Science Department BINUS Graduate Program - Master of Computer Science Bina Nusantara University Jakarta11480 Indonesia

ISBN: (纸本)9781728133331

a furniture rental service multinational company has a mobile application that is used by the salesperson to make sales transactions. Currently the mobile application gets data from the ERP system by importing and exporting it so that the data used is not real-time. To support the creation of real-time data communication between ERP systems and mobile applications, a replacement method for the export and import process is needed. Therefore, this study makes several web services that can be used to replace the export and import processes through the integration of Enterprise Resource Planning (ERP) with mobile applications using Service Oriented Architecture (SOA). Web services are made using RESTful and have passed several stages of testing using the QOS standard. Based on the results of testing using Jmeter with a simulation of 20 users obtained latency on the web service is 3 seconds and 4 seconds load time with an average data size of 2599 bytes so it can be concluded that this quality is quite good in terms of performance and accessibility. Test results using vooky show no bugs, but there are still shortcomings in security, which are caused by the lack of security in the header. With the results of these tests, the webservice can be used to replace the export and import process that have been used by the salesperson, so the data communication between ERP and mobile applications becomes real-time. © 2019 IEEE.

关键词： Web services

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An Enhanced-BLCA for Assessing Performance of Company's Growth 7

An Enhanced-BLCA for Assessing Performance of Company's Grow...

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7th International Conference on Cyber and IT Service Management, CITSM 2019

作者： Utama, Ditdit Nugeraha BINUS Graduate Program Master of Computer Science Bina Nusantara University Computer Science Department Jakarta11480 Indonesia

ISBN: (纸本)9781728129099

This paper purposes an improved algorithm of the butterfly lifecycle for calculating the performance of the company's growth. Three types of change for the better are regarding mathematical model, conception in calculating the growth performance parameters, and also data operated practically for testing the proposed algorithm. Three simple stages of study conducted are previous study-re-analyzing and re-reviewing, mathematical model constructing, and model testing. Here, roulette-wheel technique was technically functioned to generate probability of positive and negative factor values;that influence the performance of artificial butterfly's metamorphoses process (also could affect the quality of butterfly finally). Nineteen mathematical equations successfully produced are able to perfect the previous algorithm, particularly in the detailed calculation of performance in every single stage of metamorphoses. Conclusively, a balanced scorecard approach adopted as conception in calculating the company's internal aspect performance that benefited from testing the new improved algorithm. Similar to the previous study, the company's external factors considered as well in stage of model testing. © 2019 IEEE.

关键词： Wheels

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Measure The Level Of Success In Using Google Drive with the Kuder Richardson (KR) Reliability Method

Measure The Level Of Success In Using Google Drive with the ...

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International Congress on Applied Information Technology

作者： Andi Nugroho Harco Leslie Hendric Spits Warnars Yaya Heriyadi Lukas Tanutama Mercu Buana University and Binus Graduate Program - Doctor of Computer Science Jakarta Indonesia Binus Graduate Program - Doctor of Computer Science Jakarta Indonesia

ISBN: (数字)9781728158624

ISBN: (纸本)9781728158631

The Google Sheets is a cloud technology part of Google Drive. Google Drive is a cloud operating system owned by Google's search engine. National Elementary School (SDN) to make a report book or Basic Education Databook (Dapodik) still use Microsoft Excel, which has the effect of delaying the delivery of report results to parents. This happens because to fill in the DAPODIK score must be filled by teachers who teach subjects in class. This study aims to provide knowledge to teachers in collaborating to fill DAPODIK and measure how reliable the delivery of material received by each teacher. Using the method of reliability Kuder Richardson KR-20 and KR-21 produces a value before the training on reliability values KR-20 = 0.6328, and KR-21 = 0.6000, after the training, the reliability values KR-20 = 0.5788 and KR-21 = 0.6231. From these results, it is known that the value after training for KR-21 has increased and according to the conventional correlation coefficient. In future research can be re-developed by making application system recommendations in determining teachers in schools to become instructors in accordance with the capabilities possessed based on the reliability testing results of the KR-20 and KR-21.

关键词： Reliability Training Google Testing Collaboration computer science Correlation

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Business Intelligent in an E-Commerce Industry 6

Business Intelligent in an E-Commerce Industry

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Joint Conference of the 6th Annual Conference of Industrial and System Engineering 2019, ACISE 2019 and 1st International Conference on Risk Management as an Interdisciplinary Approach 2019, ICRMIA 2019

作者： Purnamasari, A.M. Pah, C.E.A. Yoga, M.D.I. Girsang, A.S. Isa, S.M. Computer Science Department BINUS Graduate Program-Master of Computer Science Bina Usantara University Jakarta11480 Indonesia

According to a survey from *** about in 2017, retail e-commerce sales worldwide amounted to 2.3 trillion US dollars and e-retail revenues are projected to grow to 4.88 trillion US dollars in 2021. Each year, e-commerce business increasingly popular. Some retail companies finally decided to focus on internet-based sales to get more customers. Along with transactions that continue to be carried out from year to year, transaction data continues to be stored and stacked and of course space consuming. So after years, Business Intelligence is finally appeared and offer great data processing. Without a business intelligence, these stacked big data are useless and wait to be removed because of poor knowledge. Business intelligence turns on the poor knowledge data into rich knowledge data visualization. This paper proposed a data warehouse that can be used to build a business intelligent with utilize information obtained from the history of transactions. To build up this business intelligent, authors uses methodology steps by Kimball which consists 4 steps of dimensional design process. Furthermore, data analysis will be presented in a dashboard using Power BI. © Published under licence by IOP Publishing Ltd.

关键词： Sales

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