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Information Technology and Digital Applications (ICITDA), IEEE International Conference on

作者： Husni Iskandar Pohan Sutoto Yaya Heryadi Harjanto Prabowo Computer Science Department BINUS Graduate Program Doctor of Computer Science Bina Nusantara University Jakarta Indonesia Indonesian Hospital Accreditation Commision Jakarta Indonesia Jakarta Indonesia Management Department BINUS Business School Doctor of Research in Management Jakarta Indonesia

Since the corona pandemic, many internet users have maximized their interactions with the internet to minimize face-to-face meetings. As a result, many collaborative filtering algorithms, which are part of recommender systems, have been optimized so that users can obtain the best results. Collaborative filtering is an approach to providing recommendations that relies on the interactions and preferences of past users. Essentially, recommendations are generated by considering how users with similar preferences and behaviors have interacted. There are two primary forms of collaborative filtering: user-user and item-item. User-user collaborative filtering suggests recommendations based on users who share similar preferences with the current user. On the other hand, item-item collaborative filtering suggests recommendations based on items that are frequently selected together by other users. Both types of collaborative filtering rely on user interaction and preference data to deliver effective results. The latest trend related to collaborative filtering involves the use of geographic information. This paper aims to map the research developments related to collaborative filtering with geographic information in recent years, including the algorithms used, implementation issues, and challenges faced. Our hope is that this research can provide an overview of where this technology is heading.

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Enhancing Branch Office Network Availability Using Cloud EoIP Gateway

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Procedia computer science 2021年 179卷 574-581页

作者： Fransiskus W.P. Dharma Suharjito Computer Science Department Binus Graduate Program - Master of Computer Science Bina Nusantara University Jakarta Indonesia 11480 Computer Science Department Binus Online Learning Bina Nusantara University Jakarta Indonesia 11480

Since internet service is mostly available in many countries, tunneling solution over an internet link often used in the company for network communication between its multi-regional branches. The current state of the art solution consisting of an EoIP tunnel combined with IPsec installed on the Head Quarter of the company. Researchers see this solution as prone to total network disruption when the HQ loses its internet service. With the rising trend of cloud computing development, researchers then propose a multi-region network infrastructure design consist of MikroTik devices and Cloud platforms using EoIP IPsec protocol. Cloud platform used as an EoIP IPsec gateway due to its high availability. From the implementation and testing, the EoIP Cloud gateway proved to have high network availability. Branch network communication proved to be running well with no impact on the HQ loss of internet services. IPsec also proved to be secure enough to secure user data transmitted over the internet. From the QoS findings, there is a 24ms drop in delay performance and 0,66 ms drop in jitter performance. The EoIP IPsec on cloud platform also proved to have a 0,97% improvement in throughput performance and has a 0% packet loss rate.

关键词： EoIP tunnel Secure EoIP MikroTik Availability MikroTik Cloud Network Infrastructure

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Drone Application Model for Image Acquisition of Plantation Areas and Oil Palm Trees Counting 7

Drone Application Model for Image Acquisition of Plantation ...

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7th International Conference on Information Management and Technology, ICIMTech 2022

作者： Sastrohartono, Hermantoro Suryotomo, Andiko Putro Saifullah, Shoffan Suparyanto, Teddy Perbangsa, Anzaludin Samsinga Pardamean, Bens Instiper Yogyakarta Faculty of Agricultural Technology Department of Agricultural Engineering Yogyakarta55281 Indonesia Universitas Pembangunan Nasional Veteran Yogyakarta Department of Informatics Yogyakarta55283 Indonesia Bioinformatics and Data Science Research Center Bina Nusantara University Jakarta11480 Indonesia School of Information Systems Bina Nusantara University Information Systems Department Jakarta11480 Indonesia BINUS Graduate Program - Master of Computer Science Bina Nusantara University Computer Science Department Jakarta11480 Indonesia

ISBN: (数字)9781665450904

ISBN: (纸本)9781665450904

The area of oil palm plantations in Indonesia increased by 7% from 14 million ha in 2017 to 15 million ha in 2021. The vast land requires the support of effective and efficient management techniques to maintain sustainable productivity. The high-performance computing technologies, Internet of Things (IoT), Big Data, Artificial Intelligence, spatial modeling, and drones are the answers to these needs. This study aims to design an application that can obtain plantation image data and analyze the calculation of the number of oil palm trees. The image of oil palm plantations is obtained from processing photo data from drones through a mosaic and composite process. This study also employed Scrum and UML as a system model development method. The image of the oil palm plantation area is used to build a tree counting model using the Viola-Jones algorithm. The oil palm tree count information generated by this system can then be used by management for fertilizing, harvesting, and monitoring the condition of oil palm trees. © 2022 IEEE.

关键词： Drones

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Optimizing Big Data Implementation to Create Business Value and Architecture Proposed in the Banking Industry: A Systematic Review

Optimizing Big Data Implementation to Create Business Value ...

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computer science, Information Technology and Engineering (ICCoSITE), International Conference on

作者： Idha Kristiana Meyliana Meyliana Achmad Nizar Hidayanto Harjanto Prabowo Computer Science Department Binus Graduate Program – Computer Science Bina Nusantara University Jakarta Indonesia Information Systems Department School of Information Systems Bina Nusantara University Jakarta Indonesia Faculty of Computer Science Universitas Indonesia Depok Indonesia Management Departement BINUS Business School Undergraduate Program Bina Nusantara University Jakarta Indonesia

The exponential growth of data is compelling organizations to employ data in decision-making. As one of the businesses with an ecosystem that contributes to data growth, banks have challenges in generating insight. A high level of data security is frequently linked to a high level of data access difficulties. This poses a challenge to the implementation of data-driven business, where taking control of our data is one of the best ways to ensure that we not only own data but also have the ability to process and use data to extract business value. Through literature review, a number of challenges to optimizing the implementation of big data analytics in the banking industry were discovered. Data governance refers to the methods and procedures that assist banks in managing and securing data. A big data architecture is presented to address the highlighted issues, particularly with a multi-tiered approach to big data structures. With the adoption of this architecture, it will be simpler to generate business-value-generating insights for the banking industry using big data with accessibility and protection of data.

关键词： Industries Systematics Data security Bibliographies Process control computer architecture Banking

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Implementation of Lightweight PRNG on PLC for Industrial Control Systems

Implementation of Lightweight PRNG on PLC for Industrial Con...

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Intelligent Cybernetics Technology & Applications (ICICyTA), International Conference on

作者： Andi Sama Ford Lumban Gaol Suhono Harso Supangkat Benny Ranti Computer Science Department Binus Graduate Program - Doctor of Computer Science Bina Nusantara University Jakarta Indonesia Computer Science Department Doctor of Computer Science Bina Nusantara University Jakarta Indonesia Faculty of Digital Communication and Hotel & Tourism Institute of Technology Bandung Bandung Indonesia Faculty of Computer Science Universitas Indonesia Depok Indonesia

The Information Technology/Operational Technology convergence towards Industry 4.0 opens the opportunity to leverage recent advancements in Information Technology for Operational Technology, such as Cloud, Internet of Things, and Artificial Intelligence. Meanwhile, cyber-attacks are increasing for Operational Technology. The security aspect in Operational Technology systems has traditionally been a low priority, in contrast with speed. This introduces challenges as Industrial Control Systems such as programmable Logic Controller in Operational Technology have been traditionally optimized for speed rather than security due to limited computing power. As computations need to be as efficient as possible, security in Operational Technology has yet to be managed as robustly as in Information Technology. Operational Technology communication protocols for securing data transfer, for example, have no or just a few security capabilities, even for basic authentication and encryption. Common security algorithms rely on random numbers. However, Random Number Generator is not usually part of standard functions in programmable Logic Controllers, the core control component in Industrial Control Systems. In Industrial Control Systems, the Random Number Generator is mostly implemented as a software-based Pseudo Random Number Generator. This paper shows how to apply a Pseudo Random Number Generator in a Siemens Compact PLC S7-1200 using a modified lightweight XORshift algorithm. The XORshift algorithm can generate better randomness than the system’s clock-based implementation in the Siemens Library of Generic Functions.

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Security Risks and Best Practices for Blockchain and Smart Contracts: A Systematic Literature Review

Security Risks and Best Practices for Blockchain and Smart C...

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International Conference on Information Management and Technology (ICIMTech)

作者： Semi Yulianto Harco Leslie Hendric Spits Warnars Harjanto Prabowo Meyliana Achmad Nizar Hidayanto Computer Science Department BINUS Graduate Program - Doctor of Computer Science Bina Nusantara University Jakarta Indonesia Management Department BINUS Business School Undergraduate Program Bina Nusantara University Jakarta Indonesia Information Systems Department School of Information Systems Bina Nusantara University Jakarta Indonesia Faculty of Computer Science Universitas Indonesia Depok Indonesia

The rise of blockchain technology and smart contracts has brought widespread attention due to their capacity to transform multiple industrial sectors through decentralized, transparent, secure transactions. However, despite their promise to revolutionize various fields worldwide, lingering concerns regarding security risks impede their adoption rate. Addressing these concerns is crucial now more than ever; therefore, we conducted a comprehensive literature review within our study's scope that focused on published papers between 2014-2023 centered around security risks concerning blockchain and smart contracts. Our systematic approach using the PRISMA checklist analyzed nine categorized research model-based primary studies while recognizing vulnerabilities in smart contract development and providing best practices to mitigate such issues. These findings benefit both researchers and practitioners as they showcase how acknowledging these vulnerabilities can further develop into exploring more significant aspects of blockchain technology's security issues and smart contract development processes. Our study contributes significantly by expanding knowledge in this field while providing novel insights valuable for individuals involved in designing or implementing blockchain technologies.

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Hotel content-based recommendation system

Hotel content-based recommendation system

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International Conference on science and Technology Applications 2019, ICoSTA 2019

作者： Wahyudi, Kristian Latupapua, Johanes Chandra, Ritchie Girsang, Abba Suganda Computer Science Department BINUS Graduate Program-Master of Computer Science Bina Nusantara University Jakarta11480 Indonesia

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. © Published under licence by IOP Publishing Ltd.

关键词： Hotels

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Performance of news clustering using ant colony optimization

Performance of news clustering using ant colony optimization

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4th International Conference on Computing and Applied Informatics 2019, ICCAI 2019

作者： Jenson, T. Girsang, A.S. Computer Science Department BINUS Graduate Program-Master of Computer Science Bina Nusantara University Jakarta 11480 Indonesia

Humans are basically curious creatures. We always look for all the latest information through books or news. News usually contains tags or categories to make it easier to find similar news. It can be done manually by a human or with a machine to make it easier. Data mining techniques such as clustering and classification can be used to help the categorization process. Clustering is a technique that can be used to grouped news based on their similarity. There is some algorithm that can be used to clustering data. One of them is Ant Colony Optimization (ACO). ACO is a metaheuristic algorithm that mimics how ants bring food to the colony. ACO also can be used to solve the clustering problem. In this paper, we will use the ACO version for clustering to cluster news and find the performance of the said method. Then we compare the result with ground truth. © Published under licence by IOP Publishing Ltd.

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Effectiveness Analysis of Distributed Scrum Model Compared to Waterfall approach in Third-Party Application Development

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Procedia computer science 2021年 179卷 103-111页

作者： Kresna Dwi Prasetya Suharjito Devriady Pratama Computer Science Department BINUS Graduate Program - Master of Computer Science Bina Nusantara University Jakarta Indonesia 11480 Computer Science Department BINUS Online Learning Bina Nusantara University Jakarta Indonesia 11480

Scrum is widely used to manage application development, including third-party vendors. There are some problems when third-party vendor using scrum such as communication challenges, lack of control, and lack of trust. Therefore, we proposed new model of distributed scrum using Scrum of Scrum and Holonic view to manage an application development project in third party vendors. In this study we created 3 model, Scrum Team Model, Meeting Coordination Model, and Product Backlog Model. In this study it has been shown that the Distributed scrum method is better than waterfall method as a result of the project’s success based on scope, time, and cost aspects. Based on the comparison result, it is found that the Cost Performance Index (CPI) and the Schedule Performance Index (SPI) value of the waterfall approach project is smaller than the Distributed scrum approach project as well as the change request issued by the Distributed scrum project resulting is less than the waterfall project.

关键词： Distributed Scrum Third party vendor Scrum of Scrum Holonic View

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Implementation of naive bayes classifier algorithm in classification of civil servants

Implementation of naive bayes classifier algorithm in classi...

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International Conference on science and Technology Applications 2019, ICoSTA 2019

作者： Achmad, Rifki Girsang, Abba Suganda Computer Science Department BINUS Graduate Program-Master of Computer Science Bina Nusantara University Jakarta11480 Indonesia

As the executor of the transfer of civil servants, BKD (Badan Kepegawaian Daerah) is required for professionals in carrying out their duties in mutation positions for civil servants. This study implements a mutation system for civil servants by using Naive Bayes Classifier Algorithm. This study is implemented in Secretariat District Regency of Pelalawan, Riau Indonesia, This system uses some attributes such as age, total work period, education background and implemented on a web based application. This approach is an approximation to Bayes theorem which is the principle of statistical opportunity to combine previous knowledge with new knowledge. This system is very effective classification algorithm (get the right results) and efficient which can be a basic reason in mutation civil servants. © Published under licence by IOP Publishing Ltd.

关键词： Classifiers

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