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A Model of Visual Intelligent System for Genus Identification of Fish in the Siluriformes Order

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

作者： Taufik Budhi Pramono R Ardharyan Islamy Saprudin Joni Johanda Putra Teddy Suparyanto Kartika Purwandari Tjeng Wawan Cenggoro Bens Pardamean Aquaculture Study Program Faculty of Fisheries and Marine Science Jenderal Soedirman University Purwokerto Central Java Indonesia 53123 Aquatic Resources Management Brawijaya University Malang East Java Indonesia Graduate Program Aquatic Resources Faculty of Fisheries and Marine Science Jenderal Soedirman University Purwokerto Central Java Indonesia 53123 Bioinformatics and Data Science Research Center Bina Nusantara University Jakarta Indonesia 11480 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 Jakarta Indonesia 11480

Ambiguity in the fish naming is present in several fish species database, especially for fish in Siluformes order. To fix the ambiguity, a visual intelligent system is needed to automate the fish naming correction in the database. In this study, we developed a deep-learning-based model as the core of the intelligent system. The proposed model achieved 89% accuracy for the classification of three genera in Siluformes order: Mystus, Hemibagrus, and Glyptothorax.

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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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Instant Messaging as Information Goldmines to Digital Forensic: A Systematic Review 3

Instant Messaging as Information Goldmines to Digital Forens...

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

作者： Sihombing, Harry Chandra Fajar, Ahmad Nurul Utama, Ditdit Nugeraha Mercu Buana University Master of Electrical Engineering Jakarta Indonesia Information Systems Management Department Bina Nusantara University BINUS Graduate Program-Master of Information Systems Management Jakarta11480 Indonesia Computer Science Department Bina Nusantara University BINUS Graduate Program-Master of Computer Science Jakarta11480 Indonesia

ISBN: (纸本)9781538658215

The use of instant messaging (IM) application is very communal among smartphone users, as it delivers ease in interaction and communication. The speed at which technologies, growth, and expansion of networks infrastructure for high-speed data networks (e.g. wifi, 4G, etc.) are changing and the high number of IM applications are available. IM application usage is significantly escalating, also for doing illegitimate purposes, particularly to organize and coordinate criminal acts. They are practically exploited by the criminality groups involved when they target and interact with the victims, or try to run away from criminal occurrences. By systematically conducting a review to understand and to investigate IM applications topic coming from a number of scientific sources (e.g. manuscripts, metadata, files, etc.), a broader picture and opportunity to regain the valuable evidence in the investigation is academically provided. © 2018 IEEE.

关键词： Smartphones

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A Packet Routing Technique for IoT Based on Least Delay Paths Estimated Through the Measurement of Packet Arrival Rate and Length 26

A Packet Routing Technique for IoT Based on Least Delay Path...

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26th International Conference on Software, Telecommunications and computer Networks, SoftCOM 2018

作者： Da Silva, Joao Marcos Bueno Motoyama, Shusaburo Master Program in Computer Science University Center Campo Limpo Paulista UNIFACCAMP Campo Limpo Paulista Brazil Brazil

ISBN: (纸本)9789532900873

A packet routing technique based on least delay path through measurements of packet rate and length is proposed in this paper. The measurements accquired at each node are used to estimate the delay of the packets and compare to a pre-established delay threshold. If the delay is greater than the pre-established value, new paths of lower delay are established through the Dijkstra algorithm. The proposed algorithm is tested for several values of delay thresholds and intervals of measurements to define the appropriate parameters of better performance. The performance of the proposed algorithm is compared to two other algorithms in two different network topologies. The algorithms compared are shortest path routing algorithm and the least delay algorithm based on packet counting. The two network topologies have relative complexity, one containing 56 nodes and the other containing 40 nodes. For the tested conditions, the simulation results show that the performance of proposed algorithm is better than two algorithms compared in terms of packet delay. © 2018 University of Split, FESB.

关键词： Internet of things

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Analysis of Students' Academic Achievements: A Personality Test Perspective 8

Analysis of Students' Academic Achievements: A Personality T...

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

作者： Chen, Yen-Hung Chen, Huei-Yuan Chen, Miao-Ying Hsu, Yi-Jen Liao, Min-Fei Wu, Hsin-Ting Department of Computer Science University of Taipei Taipei Taiwan Department of Urban Development University of Taipei Taipei Taiwan Department of Mathematics Master Program of Mathematics Education University of Taipei Taipei Taiwan Office of General Affairs University of Taipei Taipei Taiwan Department of Special Education University of Taipei Taipei Taiwan Computer and Networking Center University of Taipei Taipei Taiwan

ISBN: (纸本)9781728126272

Using the personality test perspective, this study adopts Data Mining and Association Rule Learning in Big Data Analysis as the basis for finding correlations between the personality test and students' academic performance. The personality test results are divided into 6 types of personality characteristics: Type A, B, C, D, E and F. The most personality traits of the University are Type D, and the main purpose is to find out the most appropriate students for each department, through the relationship between personality traits and academic performance, helping to guide students to master their personality traits and develop their potentials for the future. © 2019 IEEE.

关键词： Students

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Lockdown strategy worth lives: The SEIRD modelling in COVID-19 outbreak in Indonesia

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

作者： I Nurlaila A A Hidayat B Pardamean Information Systems Department BINUS Online Learning 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

Lockdowns, despite their conflicting restrictions and consequences they might offer when enforced as a national strategy, are deemed to be suggestive for a prompt conquer to the Coronavirus Disease-19 (COVID-19) outbreak. There have been some success stories such as in China, South Korea and our ASEAN member fellow, Vietnam, which exhibited extremely fallen numbers of COVID-19 cases post the enforcement of lockdown. Indonesia, however, remains in the crux of dispute whether or not the lockdown is opted to force COVID-19 transmission down under control. We, in this respect, employ the most popular model which has been broadly applied in the field of epidemiology, referred to as SEIRD (Susceptible, Exposed, Infectious, Recovered, and Death), the extension form of an age-structured SEIR, where the Death (D) is included to provide more factual situation. We modify the I (Infectious) fraction as symp-tomatic (Is) and asymptomatic (Ia) infectives. There are three lockdown scenarios simulated in our modified SEIRD with the starting date are 26 April 2020 when the immediate lockdown was enacted-and a-week and two-week-gaps, respectively. We figured out that by stipulating the lockdown without delay (26 April 2020), the new cases could be kept below 10,000. A week delay escalates case number to 5,000 and delay for one more week results in beyond 20,000 new cases. Furthermore, when the intervention is delayed following the delayed lockdown, normalization would demand a longer period within which dealing with more critical and dying patients is unavoidable and should be more anticipated.

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Vibration-based classification of road damages: Gyroscope data and a simple neural network model 2

Vibration-based classification of road damages: Gyroscope da...

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2nd International Conference on Eco Engineering Development 2018, ICEED 2018

作者： Gunawan, Fergyanto E. Herriyandi Soewito, Benfano Mauritsius, Tuga Surantha, Nico Industrial Engineering Department BINUS Graduate Program - Master of Industrial Engineering Bina Nusantara University Jakarta11480 Indonesia Computer Science Department BINUS Graduate Program - Master of Computer Science Bina Nusantara University Jakarta11480 Indonesia Information Systems Management Department BINUS Graduate Program - Master of Information Systems Management Bina Nusantara University Jakarta11480 Indonesia

A system for automatic detection of road damages is essential for logistics management. At the core of the system lies an algorithm for classification of damages. This work intends to establish such an algorithm. In the current proposal, the algorithm receives data of the probe vehicle rate of rotations, extracts statistics descriptive from the data to produce a feature vector, and finally, feeds the vector to a simple-three-layer neural network to classify the damages. The types of damages are limited to four cases: normal, pothole, speed bump, and expansion joint. For the development, a probe vehicle is used to produce 400 empirical data involving those four damage cases. By using Monte Carlo approach, the established neural network model is evaluated. The results show that the approach is able to classify the cases with 85% accuracy. The study also finds that the rates of pitch and roll to be the determining factors. © 2018 Institute of Physics Publishing. All rights reserved.

关键词： Neural network models

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Fuzzy eco-DSM for road traffic engineering 2

Fuzzy eco-DSM for road traffic engineering

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2nd International Conference on Eco Engineering Development 2018, ICEED 2018

作者： Utama, Ditdit Nugeraha Nurlatifani, Sofie Computer Science Department BINUS Graduate Program - Master of Computer Science Bina Nusantara University Jakarta11480 Indonesia Information System UIN Syarif Hidayatullah Jakarta Indonesia

Numerous efforts have been reasonably done to eliminate the road traffic congestion, however it occurs every working day, particularly in metropolitan. This study positively proposed a model which is not only able to show the effect of road traffic congestion ecologically, but also can recommend the strategy for road traffic engineering with methodically elaborating the environmental attributes as a dominant aspects considered. It is called as ecological decision support model (eco-DSM). To construct the model, two main methods were operated and combined: fuzzy logic and water flow algorithm (WFA). The method fuzzy logic exploited to exterminate the bias facet on parameters, and the WFA utilised to model the road traffic congestion and vehicle flow and to optimize its velocity based on emission calculation. The constructed model itself was designed thru the method object oriented, and the empirical road traffic congestion data of the Juanda Street in Tangerang Selatan city were functioned. Finally, the model showed the simulation result for suggesting the best decision alternative for road traffic engineering. © 2018 Institute of Physics Publishing. All rights reserved.

关键词： Fuzzy logic

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Fuzzy eco-DSM for treating medical waste 2

Fuzzy eco-DSM for treating medical waste

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2nd International Conference on Eco Engineering Development 2018, ICEED 2018

作者： Utama, Ditdit Nugeraha Rustamaji, Eri Fauziyah, Amelia Computer Science Department BINUS Graduate Program - Master of Computer Science Bina Nusantara University Jakarta11480 Indonesia Information System UIN Syarif Hidayatullah Jakarta Indonesia

Decision support model (DSM) is familiarly applied in a lot of areas and issues. The model is commonly benefited by decision maker to solve semi / unstructured problems. One of them should be used to treat medical waste by considering six selected parameters and three decision alternatives. In this study, environmental issue is main concerned aspect that the constructed model consequently becomes ecological DSM (eco-DSM). Three main methods are operated to construct the model;they are fuzzy logic, Euclidean distance, and full-factorial optimization methods. The model is analysed and designed via object oriented method. Lastly, the study shows simulation results based on empirical data of medical waste from one class 'A' state hospital in Jakarta, Indonesia. © 2018 Institute of Physics Publishing. All rights reserved.

关键词： Fuzzy logic

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Decision Support Model for Supplier Selection Using Fuzzy Logic Concept 3

Decision Support Model for Supplier Selection Using Fuzzy Lo...

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

作者： Gunawan, Ferdi Wang, Gunawan Utama, Ditdit Nugeraha Komsiyah, Siti Suharjito Computer Science Department School of Computer Science Bina Nusantara University Jakarta11480 Indonesia Information Systems Management Department Bina Nusantara University BINUS Graduate Program-Master of Information Systems Management Jakarta11480 Indonesia Computer Science Department Bina Nusantara University BINUS Graduate Program-Master of Computer Science Jakarta11480 Indonesia Mathematics Department School of Computer Science Bina Nusantara University Jakarta11480 Indonesia

ISBN: (纸本)9781538658215

Improving the company's performance to compete globally, in rapid growth market economy condition, is practically required. One of the important things is right decision in issues of supplier selection. The improper supplier affects consequence negatively to the quality of company's business process. Thus, the right way to answer the issues is incredibly crucial to be proposed. This study aims to design an application to determine the sub-criteria weight with Fuzzy-AHP method, select the best supplier via Fuzzy-TOPSIS method, and calculate the allocation of quota to each supplier thru Fuzzy-MOLP method. The study was conducted on high class store by taking the object of material gymnastic product (spandex). Simulation confidently demonstrates that the Fuzzy-AHP approach is able to be operated to generate parameter Quality Product as the best sub-criteria (with value 0.221), the Fuzzy-TOPSIS technique can be used to ring out the supplier (where CV. Maju Jaya Abadi as the best supplier), and the method Fuzzy-MOLP is exploited to calculate the allocation of quota (where CV. Maju Jaya Abadi as a supplier with the highest percentage of 44.40%). © 2018 IEEE.

关键词： Fuzzy logic

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