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The by-product of oil palm dosage application on Turnera subulata growth supports water supply

AIP Conference Proceedings 2024年第1期3026卷

作者： Pauliz Budi Hastuti Gilang Tri Anggara Wiwin Dyah Ully Parwati Teddy Suparyanto Digdo Sudigyo Bens Pardamean Faculty of Agriculture STIPER Institute of Agriculture Yogyakarta Indonesia 55281 Faculty of Agricultural Technology STIPER Institute of Agriculture 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 Program Bina Nusantara University Jakarta Indonesia 11480

Plant growth with complex organic matter content can be enhanced by using oil palm by-products. These organic materials can maintain the water supply in the plant body. Therefore, in oil palm plantations with significant groundwater consumption, organic matter’s the ability to sustain water availability. Caterpillars that devour palm leaves are among the numerous pests that threaten oil palm plantations. Predators of leaf-eating caterpillars use the holly rose flower (Turnera subulata) in oil palm farms as a habitat. Therefore, the effect of the type and dose treatment of oil palm by-products on the growth of Turnera subulata was observed to support sustainable water management in oil palm plantations. The research was carried out using a factorial design arranged in a Completely Randomized Design (CRD) consisting of two components: the type of palm oil mill by-product (boiler ash, empty bunches, and solid) and the dose of a by-product (% volume) consisting of four dosages (0, 25, 33, and 50% volume). The research data were analyzed using variance at the 5% test level. A DMRT test at the 5% test level was conducted on the treatment that had a significant effect. The growth of Turnera subulata was most positively impacted by a solid application dose of 50% volume. Turnera subulata plants responded the least favorably to the application of empty bunches in any dose treatment.

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Latent Regression and Ordination Risk of Infectious Disease and Climate

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Procedia computer science 2021年 179卷 25-32页

作者： Rezzy Eko Caraka Rung Ching Chen Youngjo Lee Prana Ugiana Gio Arif Budiarto Bens Pardamean College of Informatics Chaoyang University of Technology 168 Jifong East Road Wufong Dist. Taichung City 41349 Taiwan (R.O.C.). Department of Statistics College of Natural Science Seoul National University Gwanak-gu Seoul 08826 Korea Bioinformatics and Data Science Research Center Bina Nusantara University Jakarta Indonesia Department of Mathematics Universitas Sumatera Utara Medan 20222 Indonesia Computer Science Department School of Computer Science Bina Nusantara University Jakarta Indonesia 11480 Computer Science Department BINUS Graduate Program - Master of Computer Science Program Bina Nusantara University Indonesia.

Global warming arising from climate change can increase the spread of deadly diseases. Effort is needed to develop a set of policies for the government to stem or reduce health risks from global warming. The purpose of this paper is to examine more detail and comprehensively about the relationship among climate and event disease count in Taiwan using the partial least square latent regression model. The results obtained that of the 17 types of diseases in Taiwan, that has the most significant loading factor is Amoebiasis, Malaria and Chikungunya. At the same time, climate variables that have the biggest most significant factor are Number day with max temp more than 30, Number day Temp more than 25, and Rainfall PH. Cronbach’s Alpha infectious disease 0.9696 and climate 0.2813. At the same time, the value of Dillon Goldstein’s rho infectious disease 0.974 and climate 0.6404, respectively.

关键词： Disease Counts Climate Latent PLS Regression

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MEC deployment with distributed cloud in 4G network for 5G success 6

MEC deployment with distributed cloud in 4G network for 5G s...

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6th International Conference on Information Technology, computer and Electrical Engineering, ICITACEE 2019

作者： Hairuman, Andika Zahra, Amalia Kusuma, Gede Putra Murad, Dina Fitria Bina Nusantara University BINUS Graduate Program Master of Computer Science Computer Science Department Jakarta11480 Indonesia Bina Nusantara University BINUS Online Learning Information Systems Department Jakarta11480 Indonesia

ISBN: (纸本)9781728126890

The purpose of this paper is to understand the deployment model of MEC with distributed cloud in 4G network before rolling out 5G and make the most successful deployment without creating conflict with NFV as part of digital transformation. MEC brings flexibility and agility to meet the application demands of low latency, high reliability with high scalability, bandwidth and battery savings. It explains few reasons why MEC should be adopted before 5G deployment and what would be the benefits for all the actors like operators and public cloud service providers. MEC architecture is designed by ETSI and there are some known challenges with MEC use scenarios like AR/VR, IoT and connected vehicles. MEC offerings few deployment options which available for 4G and take that deployment model as a reference for MEC deployment on 5G include the migration options. This paper provides list of recommendations for key successes deploying MEC in 4G network and 5G and help the stakeholders understand the way to realize the MEC benefits. © 2019 IEEE.

关键词： Distributed cloud

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Scoring Urban Sustainability as a Guidance and Self-Learning for City Planners

Scoring Urban Sustainability as a Guidance and Self-Learning...

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International Congress on Applied Information Technology

作者： Herlawati Yaya Heryadi Agung Trisetyarso Wayan Suparta Chul Ho Kang Bahtiar Saleh Abbas BINUS Graduate Program - Doctor of Computer Science Bina Nusantara University Jakarta Indonesia

ISBN: (数字)9781728158624

ISBN: (纸本)9781728158631

City planners worldwide have tried to develop their cities following the concept of sustainable development. To allocate land use properly, the zoning method has been widely used, especially in densely populated cities, namely a kind of sustainable urban form with considers the mix of use/diversity of land use to minimize travel distance. This study proposes a method for calculating how much a city meets the sustainable urban forms based on compact city criteria, i.e. compatibility, dependency, and compactness. After the survey filling in compatibility and dependency scores for each land use, and compactness was calculated for each sub-district. Fuzzy C-Means clustering was used to cluster the result to classify other areas. In addition, this method can be used by planners to check whether their plans meet the concept of sustainable development or not.

关键词： Urban areas Sustainable development computer science Education Matrix converters Hospitals

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Multiple-Clustering Comparison in Spatial Data for Additional Accuracy Measurement in Land-use Classification

Multiple-Clustering Comparison in Spatial Data for Additiona...

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International Conference on Informatics and Computing (ICIC)

作者： Herlawati Yaya Heryadi Harco Leslie Hendric Spits Warnars Ford Lumban Gaol Edi Abdurachman Benfano Soewito BINUS Graduate Program - Doctor of Computer Science Bina Nusantara University Jakarta Indonesia

Satellite imageries have been widely used to analyze a region by planners. Data from the satellite usually have lower accuracy than other expensive methods e.g. drone, aerial view, etc. However, the data from satellite have wide range area and sufficient enough for modeling a land use. The accuracy assessment, therefore, becomes a vital task to ensure the model from the satellite imagery meets the minimum requirement. Validating the classification result by comparing to the real location or by other higher resolution images is needed. The paper proposed additional validation by comparing the classification result by another result in different date through the cross-tabulation method. Two satellite imageries in the same year were processed before classification to get the land-use and land-cover classification. Comparing two land-use classified images gave the accuracy statistics using cross-tabulation. The kappa statistic and accuracy showed the classification performance of 0.7592 that similar to the sampling-based accuracy assessment (0.75390). Therefore, the proposed method was appropriate as the accuracy assessment.

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Prediction Diabetes Mellitus Using Decision Tree Models

Prediction Diabetes Mellitus Using Decision Tree Models

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International Congress on Applied Information Technology

作者： Aswan Supriyadi Sunge Harco Leslie Hendric S. Warnar Yaya Heryadi Edi Abdurachman Benfano Soewito Ford Lumban Gaol BINUS Graduate Program-Doctor of Computer Science Bina Nusantara University Jakarta Indonesia

ISBN: (数字)9781728158624

ISBN: (纸本)9781728158631

Health is an essential thing in human life, but Indonesian people are still far from the word healthy lifestyle. One disease that can be caused by an unhealthy lifestyle is diabetes mellitus that can cause many deaths. So far, there are many data in the hospital, but the data can not be maximized well even if it can be used to predict diabetes. The need for accuracy to produce better results. In conducting this test, the results obtained using C 4.5 only algorithm is 72.08%.

关键词： Diabetes Data mining computer science Classification algorithms Diseases Decision trees Testing

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Buzzer Detection to Maintain Information Neutrality in 2019 Indonesia Presidential Election 8

Buzzer Detection to Maintain Information Neutrality in 2019 ...

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8th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2019

作者： Panatra, Adrian Julianto Chandra, Felisitus Bryan Darmawan, Wiliam Warnars, Harco Leslie Hendric Spits Utomo, Wiranto Herry Matsuo, Tokuro 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 Jakarta 11480 Indonesia Faculty of Computing President University Jawa Barat17550 Indonesia Graduate School of Industrial Technology Advanced Institute of Industrial Technology Tokyo Japan

ISBN: (纸本)9781728126272

This paper proposed a method which detects a political buzzer in social media, specifically Instagram. With Indonesia undergoing 2019 presidential election, a detection of buzzers that causes much trouble in maintaining information neutrality is seen as a needed. One of the many reasons is because those buzzers spread false news making the information gained by the use of social media to be not neutral and deliberately offends or attack those that they are not in favor of. Those buzzers share a similar characteristic, tendency, or even possess the same pattern. Grouping, classification, and detection method are used to counter this problem. This research gives a slight overview of what is happening in social media and a theory of how to deal with those problems. The argument is expected to help to identify buzzer in real life, thus helps in maintaining information neutrality along with the social media in Indonesia. © 2019 IEEE.

关键词： Social networking (online)

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Mobile Application for Tire Sensor as Implementation Internet of Things in Transportation 7

Mobile Application for Tire Sensor as Implementation Interne...

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

作者： Pranatta, Bravio Carstensz, Jonathan Jihanda, Michael Liundi, Nicholas Warnars, Diana Teresia Spits Warnars, Harco Leslie Hendric Spits School of Computer Science Bina Nusantara University Computer Science Department Jakarta11480 Indonesia School of Information System Bina Nusantara University Information Systems Department Jakarta11480 Indonesia BINUS Graduate Program Doctor of Computer Science Bina Nusantara University Computer Science Department Jakarta11480 Indonesia

ISBN: (纸本)9781728129099

This paper headed to the role of the Internet of Things in transportation life and as one of an important thing, the Internet of Things (IoT) is getting grow and grow every day. Slowly but sure, IoT enters our experience in all things. Different visions of this IoT are reported and enabling technologies reviewed. What appears is that still significant issues must be faced by the research community. The technology that relates to IoT is still in development until now, and soon it will be used in human life. IoT embraced people to bring welfare and efficiency for every activity, played the role of technology development;IoT also shows people to think and invent more technology for every application such as vehicle and smart cities. Once it was implemented, the IoT will bring efficiency and make the activity more comfortable than before. The development of IoT also creates a vision for everybody, because it opens people's minds to technology development. Smart transportation will also be implemented in every city, and soon it will become a smart city. The efficiency and human development will pay the resources, technologies, contributions, and all works from scientists and researchers with transportation. © 2019 IEEE.

关键词： Internet of things

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Live demonstration: Accurate time synchronization for industrial wireless LAN systems

Live demonstration: Accurate time synchronization for indust...

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2019 IEEE International Symposium on Circuits and Systems, ISCAS 2019

作者： Nguyen, Tran Thi Thao Nagao, Yuhei Surantha, Nico Kurosaki, Masayuki Ochi, Hiroshi Kyushu Institute of Technology Fukuoka Japan Computer Science Department Binus Graduate Program Bina Nusantara University Jakarta Indonesia

ISBN: (纸本)9781728103976

We demonstrate a precision time protocol (PTP) used to synchronize clocks in industrial wireless local area network (iWLAN) communication systems. The implementation of the system on FPGA boards for accurate verification and to test the feasibility of the system in a real environment. The result has been confirmed that time synchronization is high accuracy from 40 to 100 ns. © 2019 IEEE

关键词： Wireless local area networks (WLAN)

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A simple student appraisal evaluation model based on multi-stage rule fuzzy logic

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AIP Conference Proceedings 2023年第1期2896卷

作者： Ditdit Nugeraha Utama Siti Sumiyati Irmawan Rahyadi Norhaslinda Zainal Abidin Norazura Ahmad Aida Mauziah Benjamin Wan Laailatul Hanim Binti Mat Desa Computer Science Department BINUS Graduate Program - Master of Computer Science Bina Nusantara University Jakarta Indonesia 11480 Communication Department BINUS Graduate Program - Master of Strategic Marketing Communication Bina Nusantara University Jakarta Indonesia 11480 Institute of Strategic Industrial Decision Modelling School of Quantitative Sciences Universiti Utara Malaysia 06010 Sintok Kedah Malaysia Decision Science Department School of Quantitative Sciences Universiti Utara Malaysia 06010 Sintok Kedah Malaysia

An evaluating process that involves the multi parameters and rules is complex and complicated. Such complexity shows that the problem is a semi-unstructured problem. Thus, the problem faced is possibly solved by proposing a new intelligentdecision model to get the quantitative decision. Here, the experimental research was conducted by methodically operating the conception of multi-stage rule-based fuzzy logic. The experimental research is a Python programming language experiment and it is one implementation of the multi-stage rule-based fuzzy logic in solving the problem of a simple case for evaluating student performance. The evaluation model was designed thru an object-oriented approach and was conclusively able to show the result of100 dummy students’ performance values.

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