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Quality Analysis the E-PASTI System to Determine the Condition of the System and Information Quality

Journal of Physics: Conference Series 2021年第1期1807卷

作者： Bayu Nugraha Finki Dona Marleny Sfenrianto Sfenrianto Cinthya Edwina Information System Program Faculty of Science and Technology Sari Mulia University Banjarmasin South Kalimantan Indonesia Information Systems Management Department BINUS Graduate Program–Master of Information Systems Management Bina Nusantara University Jakarta Indonesia 11480

The purpose of this study is to evaluate the quality of secretarial, financial and staffing information systems at the Directorate General of AHU, known as the E-PASTI system. There are two variables analysed, namely system quality and information quality. Data collection using questionnaires that distributed to 123 employees who used the E-PASTI system but returned 93 questionnaires. Data quality analyst uses descriptive quantitative method. The results of the study are several conditions related to the system and information quality of E-PASTI. The quality can be a reference for the AHU Directorate General to improve the quality of E-PASTI that suits the needs of employees.

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An Evaluation of Deep Neural Network Performance on Limited Protein Phosphorylation Site Prediction Data

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Procedia computer science 2019年 157卷 25-30页

作者： Favorisen Rosyking Lumbanraja Bharuno Mahesworo Tjeng Wawan Cenggoro Arif Budiarto Bens Pardamean Department of Computer Science Faculty of Mathematics and Natural Science University of Lampung Jalan Prof. Dr. Sumantri Brojonegoro No.17 35145 Bandar Lampung Indonesia 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

One of the common and important post-translational modification (PTM) types is phosphorylation. Protein phosphorylation is used to regulate various enzyme and receptor activations which include signal pathways. There have been many significant studies conducted to predict phosphorylation sites using various machine learning methods. Recently, several researchers claimed deep learning based methods as the best methods for phosphorylation sited prediction. However, the performance of these methods were backed up with the massive training data used in the researches. In this paper, we study the performance of simple deep neural network on the limited data generally used prior to deep learning employment. The result shows that a deep neural network can still achieve comparable performance in the limited data settings.

关键词： Phosphorylation Site Prediction Protein Phosphorylation Deep Learning Deep Neural Network

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Personnel System Development with Integrated Military Education Information System (MEIS) in Supporting the Personnel Position and Career

Personnel System Development with Integrated Military Educat...

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International Conference on ICT For Smart Society (ICISS)

作者： Leli Setyaningrum Suhono H. Supangkat Harco Leslie Hendric Spits Warnars Juneman Abraham Edi Abdurachman Bina Nusantara University Jakata Barat Indonesia School of Electrical Engineering and Informatics Institut Teknologi Bandung Bandung Indonesia Graduate Program Doctor of Computer Science Bina Nusantara University Jakarta Indonesia Faculty of Humanities Bina Nusantara University BINUS Jakarta Indonesia

ISBN: (数字)9781665404228

ISBN: (纸本)9781665404235

Personnel and education data very important for organizations, including the military. All data related to military personnel will give effect positions and careers in the military field. The integration of personnel and education data can assist in processing and decision making. An analysis is needed so that the developed system can be useful for the long term. Analysis with IT balanced scorecard and COBIT ® 2019, will be able to help and fill the gaps in the existing system based on the objectives of the military organization itself. It is shown that the domains BAI05 (Managed Organizational Change) and DSS02 (Managed Service Requests and Incidents) are still not being implemented well. The system developed will have the features and capabilities to support the organization in achieving its goals, including in the field of staffing and education. Besides, it provides convenience in making decisions in terms of positions related to personnel careers.

关键词： Personnel Education Organizations Task analysis Information technology Engineering profession computer science

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Mining Association rule with Attribute Oriented Induction High level Emerging Pattern (AOI-HEP) data mining technique 2

Mining Association rule with Attribute Oriented Induction Hi...

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2nd International Conference on Inventive Communication and Computational Technologies, ICICCT 2018

作者： Warnars, Harco Leslie Hendric Spits Gaol, Ford Lumban Heryadi, Yaya Trisetyarso, Agung Sanchez, Horacio Emilio Perez Computer Science Department BINUS Graduate Program Computer Science Bina Nusantara University Jakarta11480 Indonesia Guadalupe30107 Spain

ISBN: (纸本)9781538619742

Attribute Oriented Induction High level Emerging Pattern (AOI-HEP) as proposed new data mining technique has been success to mine frequent and similar patterns. Moreover, the AOI-HEP data mining technique has been improved with confidence mining pattern into two terms, where firstly give confidence mining pattern for each AOI-HEP pattern either frequent or similar pattern. Secondly, give confidence for each dataset as confidence AOI-HEP pattern between frequent and similar patterns. Confidence for each AOI-HEP pattern will show how interested each of AOI-HEP pattern between frequent and similar pattern, whilst confidence per dataset will show how interested each dataset between frequent and similar pattern. In this paper the mining of AOI-HEP has been extended to mine AOI-HEP association rules using the current AOI-HEP frequent pattern, since association rule deal with frequent pattern. Based from previous experiments upon 4 UCI machine learning datasets such as adult, breast cancer, census and IPUMS, there are 9 finding AOI-HEP frequent patterns where 8 from adult and breast cancer datasets respectively. Finally, there are 2 and 1 AOI-HEP association rules from adult and breast cancer datasets respectively. © 2018 IEEE.

关键词： Association rules

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Impact of Intention to Use to a Document Management System (Case Study Approach) 3

Impact of Intention to Use to a Document Management System (...

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

作者： Hartono, Sugiarto Kosala, Raymondus Raymond Supangkat, Suhono Harso Ranti, Benny Information Systems Department Computer Science Department BINUS Graduate Program-Doctor of Computer Science Jakarta11480 Indonesia Computer Science Department Bina Nusantara University BINUS Graduate Program-Doctor of Computer Science Jakarta11480 Indonesia Bandung Institute of Technology School of Electrical Engineering and Informatics Bandung Indonesia

ISBN: (纸本)9781538658215

Document management system makes user to access information anytime and anywhere. The purpose of this research is to analyze what variables have impact on the intention to use of document management system. To achieve the objectives conducted by identification problem on the research model developed from the model of Technology Acceptance Model and Unified Theory of Acceptance and Use of Technology to the use of document management system. Furthermore, the data obtained from the respondents tested outer model, inner model test, hypothesis test and to produce a comprehensive analysis will be conducted Importance Performance Analysis. This research will result in a comprehensive analysis and able to provide recommendations and solutions for improvement from the implementation DMS has been done earlier. © 2018 IEEE.

关键词： Information services

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PROMOTING TIMOR LESTE’S TAIS CLOTH USING MOBILE AUGMENTED REALITY APPLICATION

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Procedia computer science 2018年 135卷 700-706页

作者： Marianus Magno Seran Bria Gede Putra Kusuma Louis Khrisna Putera Suryapranata Computer Science Department BINUS Graduate Program - Master of Computer Science Bina Nusantara University Jakarta Indonesia 11480 Computer Science Department BINUS Graduate Program – Doctor of Computer Science Bina Nusantara University Jakarta Indonesia 11480

The results of observations showed that the book about Tais produced by Secretariat de Estado da Arte e Cultura (SEAC) has not been able to meet the needs of users because the information is less interesting and interactive. This paper’s aim is to introduce the more interesting and interactive way to introduce Tais. Utilization of Augmented Reality (AR) technology in an application built with the Unity3D program is done to provide different way in presenting interesting and interactive information to its users. Based on the results in this paper, the developed application can handle the presentation in more interesting and interactive way. The ideal distance in the tracking process for target objects with size 7 x 6 cm is ranged from 6 cm to 30 cm, with the image ratio that can be detected at the farthest distance is 4% of the camera image. For the detection angle, the target object can be detected properly from approximately ±64 0 . From the data acquired, it can be said that AR can be used to introduce Tais in more interesting and interactive way.

关键词： augmented reality mobile application tais timor leste cultural heritage

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

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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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Facial Recognition Development to Detect Corporate Employees Stress Level

Facial Recognition Development to Detect Corporate Employees...

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2019 IEEE International Conference on Engineering, Technology and Education, TALE 2019

作者： Rahman, Munif Faisol Abdul Vincent Giovanni, Vito Christian Warnars, Harco Leslie Hendric Spits Aryono, Gagah Dwiki Putra Megantoro, Bayu Sasmoko Bina Nusantara University Computer Science Department Jakarta11480 Indonesia Binus Graduate Program - Doctor of Computer Science Bina Nusantara University Computer Science Department Jakarta11480 Indonesia Smk Pgri of Serang city Serang42117 Indonesia Sman 2 of Bekasi city Bekasi17144 Indonesia Faculty of Humanities Bina Nusantara University Primary Teacher Education Department Jakarta11480 Indonesia

ISBN: (纸本)9781728126654

Technology has developed so well even to the point where machines can recognize our faces. There many APIs and algorithms out there that can recognize human faces. These APIs or algorithms is called Artificial Intelligence or AI. As modern civilian life in modern society, AI has been used so many times and developed into something more. This time, we proposed an idea to recognize motions and emotions on human faces to detect their stress levels. Companies nowadays need to have something that can know how their employees are feeling or think about their work. This program works by taking an image input from mounted cameras on the office's monitor. However, before that, the program must have been trained first to recognize faces and emotions. For this, the eigenfaces algorithm is used. After the input is received, then the program will process the image received and extract the features from the images such as eyes, nose, mouth, etc. to detect if there are faces and also the emotions of the face. After that, the features extracted will be matched with the features in the database to give an output of the percentage of stress. © 2019 IEEE.

关键词： Neural networks

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Literature Review of Religion Video Game

Literature Review of Religion Video Game

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2019 International Congress on Applied Information Technology, AIT 2019

作者： Wibawa, Setya Chendra Rahayu, Yuni Sri Wrahatnolo, Tri Vindy, V. Warnars, Harco Leslie Hendric Spits Hashimoto, Kiyota Universitas Negeri Surabaya Jawa Timur Informatics Department 60213 Indonesia Universitas Negeri Surabaya Jawa Timur Biology Department 60213 Indonesia Universitas Negeri Surabaya Jawa Timur Electrical Engineering Department 60213 Indonesia Game Application Technology Program School of Computer Science Bina Nusantara University Computer Science Department Jakarta11480 Indonesia BINUS Graduate Program - Doctor of Computer Science Bina Nusantara University Computer Science Department Jakarta11480 Indonesia Faculty of Technology and Environment Prince Songkla University Thailand

ISBN: (纸本)9781728158624

In this current digital era, the video game is favorite especially among young people. Besides widely known as a form of entertainment, some messages or lessons can be learned from a video game that may affect the players. Conscious or unconscious, games have influenced many sectors of life, and it has been recognized as a serious game and no exception to religion. Human as a living creature, like or dislike or even as an atheist should believe with something out there, and religion is as a medium which connects human with something out there. The game as a representation of entertaining, intelligent application will represent joy and happiness in human life's activities, and inevitably games will influence human religion. In the end, religion game will help the human to increase their faith in those their belief based on their religion. Similar to Information Technology which is implemented in business to increase revenue, the game as an entertaining intelligent application will increase human's faith. One kind of video game that provides it is religion video games which are the result of the incorporation between religion and video games. In this paper, we do a literature review about religion video games. We try to summarize how religious elements can be incorporated into a video game which can be seen from the parts, components, and approaches of the religion video game itself. We also try to summarize the positive side and controversies in religion video games. © 2019 IEEE.

关键词： Serious games

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The data warehouse for guarantee of objects in the fiduciary

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IOP Conference Series: Materials science and Engineering 2020年第1期725卷

作者： Frabowo Prasetia Parlindungan Tampubolon Arif Rahman Hakim Abba Suganda Girsang Roni Jhonson Simamora Computer Science Department BINUS Graduate Program-Master of Computer Science Bina Nusantara University Jakarta Barat 11480 Indonesia Universitas Methodist Indonesia Medan Sumatera Utara Indonesia

The data warehouse is a structured data environment for decision support systems (DSS) and online analytical application data sources. Finance the guarantee data is extremely important because this data is checked you will be State-run finance is already good or less good, already underway in accordance with standard operational procedures. Show case of branches; see the status of data has been done by each branch, the amount of any status on a branch that has performed guarantee. The data of the vehicle that has been issued by a fiduciary as well as consumers who have made the assurance to the fiduciary. The methods used in this paper are to follow nine step. The objectives to be achieved from this paper so that the resulting data can answer the question of fiduciary business process, by generating the dashboard as a faster visualization on understanding and a report

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