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computer Vision and Fuzzy Logic for Sustainable Indonesian Fisheries

IOP Conference Series: Earth and Environmental science 2020年第1期426卷

作者： Suryadiputra Liawatimena Wiedjaja Atmadja Bahtiar Saleh Abbas Agung Trisetyarso Antoni Wibowo Erland Barlian Lilik Tri Hardanto Adi Saputra Putri Sakinah Hery Purwoko Indra Zulardi Computer Engineering Department Faculty of Engineering Bina Nusantara University Jakarta Indonesia 11480 Computer Science Department BINUS Graduate Program - Doctor Computer Science Bina Nusantara University Jakarta Indonesia 11480 Industrial Engineering Department Faculty of Engineering Bina Nusantara University Jakarta Indonesia 11480 Computer Science Department BINUS Graduate Program - Master of Computer Science Bina Nusantara University Jakarta Indonesia 11480 Management Department BINUS Business School - Doctor of Research in Management Bina Nusantara University Jakarta Indonesia 11480

Tuna fishing in Indonesia is excessive and if left unchecked, some types of tuna will become extinct within 3-10 years. There is an urgent need to help MMAF for producing more accurate fish catches data. This paper proposed a system that utilizes computer vision, fuzzy logic and Global Positioning System (GPS) for supporting a sustainableIndonesian fishery by recognizing and measuring fish length, determine fish age and where is the catch location. The system can help authority to manage sustainable fisheries management in Indonesia.

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Perception Analysis of Airport Noise on Environment, Sosial, and Economic at Halim Perdana Kusuma Airport

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

作者： Wahyu Sardjono Haryoto Kusnoputranto Bagus Ferry Agrayanto Tri Edhi Budhi Soesilo Gabriel A. Kristanto Information Systems Management Department BINUS Graduate Program - Master of Information Systems Management Bina Nusantara University Jakarta Indonesia 11480 Department of Environmental Health Faculty of Public Health University of Indonesia Indonesia Post Graduate Program School of Environmental Science University of Indonesia Jakarta Indonesia Environmental Engineering Department Faculty of Engineering University of Indonesia Jakarta Indonesia

The increase in aircraft noise is an inevitable impact of Halim Perdanakusuma Airport (HLP) commercial operations since 2014. The perception of noise risk from people living around airports is a factor that must be considered for formulating strategic, comprehensive airport noise control plans and policies, and participatory. The purpose of this study is to analyze the noise conditions and the perception of environmental noise risk to the perception of socioeconomic risks that live around the HLP Airport. The results of the WECPNL calculation in area of Jaticempaka and Makasar was ranged between 73.80—79.72. The environmental noise risk of the community in HLP Airport's vicinity was studied from knowledge aspects, perception aspects, and behavior aspects. Most of respondent were in the moderate category of environmental noise risk knowledge and environmental noise risk perception. While for environmental noise risk behavior aspects most respondent were in the low category. The social and economic risk perception for most respondent were in the moderate category. The conclusion of this research is that the community settlements in HLP Airport's vicinity at the distance of 300 m and 600 m does not meet the environmental noise standard for a residential area which is regulated at 55 dB(A). The ideal area for settlement use in the vicinity of HLP Airport is Makassar area which is located 600 m from HLP Airport's runway.

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Improving the quality of enterprise IT goals using COBIT 5 prioritization approach 1

Improving the quality of enterprise IT goals using COBIT 5 p...

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1st International Conference on Information and Communications Technology, ICOIACT 2018

作者： Anindra, Firman Abbas, Bahtiar Saleh Trisetyarso, Agung Suparta, Wayan Kang, Chul-Ho Warnars, Harco Leslie Hendric Spits Computer Science Department BINUS Graduate Program - Doctor of Computer Science Bina Nusantara University Jakarta11480 Indonesia Departement of Informatics and Communication Universitas Nasional Jakarta12520 Indonesia

ISBN: (纸本)9781538609545

Utilization of Information Technology is increasingly high at this time requires the guarantee of any information processed by the system on a company. One of the benchmarks used is to measure the level of maturity of IT Governance. COBIT 5 becomes the main reference that is often used for these needs. But to do the assessment takes a long time because of the many processes assessed. This becomes an obstacle for a very dynamic company, the business has changed but the new assessment is completed. The authors propose a new approach using a priority model that adopts a enterprise strategy and incorporates it with a follow-up of previous IT Governance audit results. Tests have been conducted one of the state-owned enterprises in Indonesia engaged in the financial sector and has a dynamic business. The results showed that the assessment can effectively improve the quality of corporate IT objectives with the acceleration of the assessment process up to 20%. © 2018 IEEE.

关键词： Companies Monitoring Information and communication technology Acceleration computer science

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An Improved Version of Texture-based Foreground Segmentation: Block-based Adaptive Segmenter 3

An Improved Version of Texture-based Foreground Segmentation...

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

作者： Muchtar, Kahlil Rahman, Faris Cenggoro, Tjeng Wawan Budiarto, Arif Pardamean, Bens Nodeflux Inc. Jakarta Indonesia Syiah Kuala University Aceh Indonesia Computer Science Department School of Computer Science Bina Nusantara University Jakarta11480 Indonesia Computer Science Department BINUS Graduate Program Master of Computer Science Program Bina Nusantara University Jakarta11480 Indonesia Bioinformatics and Data Science Research Center Bina Nusantara University Jakarta11480 Indonesia

Foreground segmentation is one of moving object detection techniques of computer vision applications. To date, modern moving object detection methods require complex background modeling and thresholds tuning to confront illumination changes. This paper proposes an adaptive approach based on non-overlapping block texture representation. It aims to design a computationally light and efficient solution to improve the robustness of detection. We evaluate our proposed method on internal and public sequences and provide the quantitative and qualitative measurements. Experimental results show that the proposed method can improve the results of previous method and suitable for real-time challenges. © 2018 The Authors. Published by Elsevier Ltd.

关键词： Textures

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Drones computer Vision using Deep Learning to Support Fishing Management in Indonesia

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IOP Conference Series: Earth and Environmental science 2020年第1期426卷

作者： Suryadiputra Liawatimena Wiedjaja Atmadja Bahtiar Saleh Abbas Agung Trisetyarso Antoni Wibowo Erland Barlian Lilik Tri Hardanto Natassya Afdalena Triany Faisal Jaka Sulistiawan Albert Cahya Yojana Computer Engineering Department Faculty of Engineering Bina Nusantara University Jakarta Indonesia 11480 Computer Science Department BINUS Graduate Program - Doctor Computer Science Bina Nusantara University Jakarta Indonesia 11480 Industrial Engineering Department Faculty of Engineering Bina Nusantara University Jakarta Indonesia 11480 Computer Science Department BINUS Graduate Program - Master of Computer Science Bina Nusantara University Jakarta Indonesia 11480 Management Department BINUS Business School - Doctor of Research in Management Bina Nusantara University Jakarta Indonesia 11480

It is necessary to study technical factors such as bait used, oceanographic conditions of fishing areas and skipjack tuna trade patterns (Katsuwonus pelamis) as well as other factors in Sulawesi Fisheries. Supporting data to study these technical factors need to be obtained so that it can be improved throughout the year as a skipjack fishing standard with weights taken by the skipjack weights. Therefore, drones and underwater drones with cameras with high-resolution video and images to be fed and processed by computer vision. These drones are operated via Huhate ships which are then used to test efficient technical factors as expected, can be used in determining the size, shape, and colour as well as the analysis of skipjack fish that are in the Fish Aggregating Devices (FADs or Rumpon) in order to manage the management of fisheries managed in Indonesia.

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A Review of Implementation and Obstacles in Predictive Machine Learning Model at Educational Institutions

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Journal of Physics: Conference Series 2020年第3期1477卷

作者： Indra Ranggadara Yunita Sartika Sari Saruni Dwiasnati Ifan Prihandi Sfenrianto Computer Science Department Mercu Buana University Indonesia Information Systems Management Department BINUS Graduate Program - Master of Information Systems Management Bina Nusantara University Jakarta Indonesia 11480

Machine learning is a system that can learn by itself by using training data and testing data testing. In a variety of machine learning research has various obstacles in implementation especially in education institution, in its application, many things need to considered for more information to enrich research in the area of machine learning by way of comparing various obstacles in implementation in similar research. So that in this study is to find similarities and anticipations made in the initial stages of pre-processing to visualisation, as well as the contribution that can give in this study explains the best alternative for researching following the experience of several researchers in conducting machine learning research.

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Development of Eco-Airport Model to Measure Environmental Noise Footprint in Supporting Airport Sustainability

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

作者： Wahyu Sardjono Haryoto Kusnoputranto Tri Edhi Budhi Soesilo Gabriel A. Kristanto Information Systems Management Department BINUS Graduate Program - Master of Information Systems Management Bina Nusantara University Jakarta Indonesia 11480 Department of Environmental Health Faculty of Public Health University of Indonesia Indonesia Post Graduate Program School of Environmental Science University of Indonesia Jakarta Indonesia Environmental Engineering Department Faculty of Engineering University of Indonesia Jakarta Indonesia

Among a set of tools to emerge in recent years in environmental management, one appears to meet the criteria necessary to bridge this gap is the environmental footprint analysis based on biophysical reality of sustainable living, people must use natural renewable products and services not sooner than they are replacedand produces no waste faster than nature can absorb. The purpose of this study is to develop a model of noise environment footprint toward sustainability airport with the environmental assessment at Soekarno-Hatta International Airport. The results showed that the airport ecological footprint of the model can be built through the factors analysis that can give an idea of the influence of ecoairport. The conclusion of this study is to obtain the noise ecological footprint provides a method for the total impact of air transport to be assessed, the ecological footprint can be used as a communication and awareness tool to inform communities about the impact they make. It can lead to shifts to public transport for airport access, ecological footprint can be used by airports and airlines to identify operations where energy efficiency measures can be made and where resource consumption can be reduced

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System Dynamics Modeling for Petroleum Exploitation Using the 'Drifting Goals' Standard Model

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

作者： Wahyu Sardjono Haryoto Kusnoputranto Tri Edhi Budhi Soesilo A. Kristanto information Systems Management Department BINUS Graduate Program - Master of Information Systems Management Bina Nusantara University Jakarta Indonesia 11480 Department of Environmental Health Faculty of Public Health University of Indonesia Indonesia Post Graduate Program School of Environmental Science University of Indonesia Jakarta Indonesia Environmental Engineering Department Faculty of Engineering University of Indonesia Jakarta Indonesia

In an oil drilling area, there are two oil drilling companies that have obtained permits to drill. As time goes by, the availability of existing petroleum decreases. To anticipate natural resources the government only prioritizes one company. Competition occurs between the two of them to explore petroleum from the ground so that they can drill. The purpose of this study is to provide an overview, how to make a system dynamics model related to the problem of oil drilling as an increasingly limited natural resource, by taking the case of the relationship between drilling companies in facing business competition. The method used is system dynamics with a standard model of mutual difficulties (drifting goals). The result obtained is a system dynamics model that can be used to demonstrate the behavior of a simulated petroleum drilling model to get an overview or condition of the limitations of petroleum and future availability.

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Improving Rice Productivity in Indonesia with Artificial Intelligence

Improving Rice Productivity in Indonesia with Artificial Int...

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International Conference on Cyber and IT Service Management (CITSM)

作者： Nicholas Liundi Aditya Wirya Darma Rivaldi Gunarso Harco Leslie Hendric Spits Warnars School of Information Systems 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

Indonesia is one of the biggest agriculture countries in the world with one of its major commodities, rice. Despite its vast paddy field and tropical resources, Indonesia still has not achieved food security. This paper explores ideas about how to present artificial intelligence that may increase rice productivity in Indonesia. Current situations of rice cultivation are mentioned start from existing technologies and systems used in Indonesia. Some artificial intelligence concepts are also introduced. Artificial Intelligence use in rice farming is then analyzed which ideas may be applicable to increase efficiency further. Those that are already implemented in rice farming include diseases and pest detection, prediction and estimation, and automated intelligent systems. In the proposed idea section, ideas to increase production are explored. Using advanced technologies may not be suitable for Indonesia's rice farmers. One argument is to minimize the differences in rice yield in different areas or so what we called yield gap. Factors such as weather, water, and harvest date are those with most impacts on the yield gap. It is beneficial to have a model that can predict the optimal planting date of rice since that will maximize the factors before. Among those implemented, a planting calendar prediction on rice-based on rainfall is already developed. However, rainfall is not the only factor. El-Nino occurrences and temperature changes also have a role in deciding when best to plant rice. The author suggests adding those two new variables, making three in total to the earlier neural network model may improve the overall result.

关键词： Artificial intelligence Diseases Meteorology Agriculture Productivity Artificial neural networks

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Designing Fiber Optic Network using Voronoi Diagram Approach

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Procedia computer science 2018年 135卷 15-24页

作者： Melki Sadekh Mansuan Benfano Soewito Mohammad Hamdani Computer Science Department School of Computer Science Bina Nusantara University Jakarta Indonesia 11480 Computer Science Department BINUS Graduate Program - Master of Computer Science Bina Nusantara University Jakarta 11480

Fiber optic is a transmission medium which is currently the most good for data transmits, because it also can be transmitted even voice and video. In most cases a fiber optic network has been implemented using clustering method, where this method assumed inefficient due to the utilization of fiber optic that is not maximized, and the numbers of the Distribution Point used is more. Thus, this paper proposed new design using Voronoi diagrams in selecting the strategic location of the Distribution Point. By utilizing an image from Google map and html code, we created polygons of Voronoi based on the coordinate point of the candidate’s location. The results are getting a value reduction/efficiency in context the use of the Distribution Point is 48%, reduction of unused fiber optics is from 171.23% to 39.72%, and cost efficiency is 50.39%.

关键词： Fiber Optic Voronoi Diagram Reduction Efficiency

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