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6th International Seminar on Mathematics, science, and computer science Education, MSCEIS 2018

作者： Zulkarnaen, R.H. Setiawan, W. Rusdiana, D. Muslim, M. Science Education Program Postgraduate Universitas Pendidikan Indonesia Bandung Indonesia Department of Computer Science Education Universitas Pendidikan Indonesia Bandung Indonesia Department of Physics Education Universitas Pendidikan Indonesia Bandung Indonesia

The development of science and technology is closely related to the quality of higher education. science and technology innovation is used as a tool to empower communities so that they can develop sustainable development. The survey results at one of Indonesia's private universities showed the low role of universities in schools as their environment. The progress of science in universities is very fast but different from the situation in the environment. This indicates an imbalance in the development of knowledge that occurs in universities with schools. Based on the results of a literature study, the smart edu design is used as an alternative solution in this regard. Smart edu is a managerial learning system innovation adapted from the smart city concept. Features in this program allow students, lecturers and teachers in the field to interact with each other. Students can assess the problem without having to go to the field on the other hand the teacher can assess the solution which is the result of learning between the student and the lecturer. Thus the learning transparency can be built through this system so that the inequality of knowledge development can be overcome. © Published under licence by IOP Publishing Ltd.

关键词： Students

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Finding shortest and nearly shortest path nodes in large substantially incomplete networks

arXiv

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arXiv 2022年

作者： Kitsak, Maksim Ganin, Alexander Elmokashfi, Ahmed Cui, Hongzhu Eisenberg, Daniel A. Alderson, David L. Korkin, Dmitry Linkov, Igor Faculty of Electrical Engineering Mathematics and Computer Science Delft University of Technology Delft Netherlands Network Science Institute Northeastern University BostonMA02115 United States Department of Systems and Information Engineering University of Virginia CharlottesvilleVA22904 United States U.S. Army Engineer Research and Development Center Contractor Concord MA01742 United States Simula Metropolitan Center for Digital Engineering Oslo Norway Bioinformatics and Computational Biology Program Worcester Polytechnic Institute WorcesterMA01609 United States Institute for Genomic Medicine Columbia University Medical Center New YorkNY United States Operations Research Department Naval Postgraduate School MontereyCA93943 United States Data Science Program Worcester Polytechnic Institute WorcesterMA01609 United States Computer Science Department Worcester Polytechnic Institute WorcesterMA01609 United States U.S. Army Engineer Research and Development Center Environmental Laboratory Concord MA01742 United States

Dynamic processes on networks, be it information transfer in the Internet, contagious spreading in a social network, or neural signaling, take place along shortest or nearly shortest paths. Unfortunately, our maps of most large networks are substantially incomplete due to either the highly dynamic nature of networks, or high cost of network measurements, or both, rendering traditional path finding methods inefficient. We find that shortest paths in large real networks, such as the network of protein-protein interactions (PPI) and the Internet at the autonomous system (AS) level, are not random but are organized according to latent-geometric rules. If nodes of these networks are mapped to points in latent hyperbolic spaces, shortest paths in them align along geodesic curves connecting endpoint nodes. We find that this alignment is sufficiently strong to allow for the identification of shortest path nodes even in the case of substantially incomplete networks. We demonstrate the utility of latent-geometric path finding in problems of cellular pathway reconstruction and communication security. Copyright © 2022, The Authors. All rights reserved.

关键词： Proteins

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Comparison analysis of weighting using fuzzy logic and centroid order rank (ROC) on simple Additive Weighting (SAW) method

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AIP Conference Proceedings 2023年第1期2601卷

作者： Alfin Ghazali Poltak Sihombing Muhammad Zarlis Informatics Postgraduate Program Universitas Sumatera Utara Jl. Universitas No. 9A Medan 20155 Indonesia Faculty of Computer Science and Information Technology Universitas Sumatera Utara Jl. Universitas No. 9A Kampus USU Padang Bulan Medan 20155 Indonesia

The simple Additive Weighting method is one of the methods of Decision Support System which is often referred to as weighted summation method. But the weight value on this method is not officially the calculation used. Therefore, usually, several researchers combine this method with other methods to be more precise and accurate in supporting the decision. In this study, the authors compared the results of the SAW method decisions between weighting based on the Fuzzy Logic method and weighting based on the Rank Order Centroid (ROC) method. The case studied was the amount of student satisfaction with learning outcomes during the Covid-19 pandemic. The result is the number of students who expressed satisfaction with learning during the Covid-19 pandemic as many as 26 students for weighting Fuzzy Logic method and 23 students for weighting Rank Order Centroid method (ROC).

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Performance comparison of CATA's information retrieval system application vs WTS

Performance comparison of CATA's information retrieval syste...

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International Conference on Engineering, Technology and Innovative Researches 2019, ICETIR 2019

作者： Purnama, Jajang Jaya Rahayu, Sri Sfenrianto Nugraha, Fitra Septia Nurfalah, Ridan Nawawi, Hendri Mahmud Shidiq, Muhammad Ja'Far Ichsan, Nurul Fatah, Haerul Master of Computer Science Postgraduate Program STMIK Nusa Mandiri Jakarta Indonesia Information Systems Management Department BINUS Graduate Program Master of Information Systems Management Bina Nusantara University Indonesia Information Systems Bina Sarana Informatika University Indonesia

Searching for data or documents that are always a necessity in the world of education, work, research an others requires convenience so that time efficiency occurs. This is supported by the emergence of various Information Retrieval system applications, one of which is cata, which is built on the Java programming language and applies the Generalized Vector Space Model method which can search based on similar keywords. Other facilities need to be developed, one of which is by applying the stemmer porter algorithm applied to the WTS (Web Tokenization Stemming) web which is built with the laravel framework that can search data or documents simply by typing the basic words so that searches are easier and faster. © 2019 IOP Publishing Ltd. All rights reserved.

关键词： Search engines

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Accuracy for Sentiment Analysis of Twitter Students on ELearning in Indonesia using Naive Bayes Algorithm Based on Particle Swarm Optimization 1

Accuracy for Sentiment Analysis of Twitter Students on ELear...

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1st International Conference on computer, science, Engineering and Technology, ICComSET 2018

作者： Kartiko, Mohamad Sfenrianto Master of Computer Science Postgraduate Programs STMIK Nusa Mandiri Jakarta Indonesia Information Systems Management Department BINUS Graduate Program-Master of Information Systems Management Universitas Bina Nusantara Jakarta Indonesia

Students can use social media such as Twitter for online learning (E-Learning). This study aims to analyse an accuracy for the sentiments of students about E-Learning who use Indonesian on Twitter social media both positive and negative opinions. The algorithms used are Naive Bayes (NB). Then to optimize the accuracy of the calculation results, the Particle Swarm Optimization (NB-PSO) approach is used. In order to optimize accurate results, this study uses three experimental sequences (scenario 1, scenario 2, and scenario 2) for both NB and NB-PSO algorithms. Each scenario uses different positive and negative comments. The results of the experiment show that in scenario 1 an increase in accuracy is 10.00% for NB-PSO. Scenario 2 there is an increase in accuracy of 13.33% on NB-PSO. Meanwhile, in scenario 3 an increase in accuracy is 27.22% for NB-PSO. These results prove that the accuracy of NB-PSO is better than NB for all scenarios. © 2019 IOP Publishing Ltd. All rights reserved.

关键词： Students

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Publication of the society's sensitive personal data in the legitimate site of the general election committee

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Journal of Physics: Conference Series 2020年第1期1516卷

作者： A Parwata K Y E Aryanto D G H Divayana Study Program of Computer Science Postgraduate Program Ganesha University of Education Singaraja Indonesia

It is highly important to protect the society's sensitive personal data. The reason is that many personal data are published by the government institution without paying attention to the prevailing regulations. In this current study, the search for the data in the form of hyperlink with its contents in the legitimate site of the General Election Committees was conducted with the assistance of Crawling Web. The obtained contents were preprocessed using the Preprocessing Text, which were then weighted using the TF-IDF method before they were classified using the Naїve Bayes method. After that, an analysis on the types of the published sensitive personal and the extent of the publication based on the area groups was conducted. Out of 6,700 instances of the personal data which were analyzed, 6.430 were published. The personal data which were published were full name, place and date of birth, religion, marital status, ID Number of the government civil servants, identity card number, number of the tax payer, account number, mobile number, e-mail, address, position, and face photo. The level of publication based on the total data found was as follows: 11.45% in the Central General Election Committee, 21.60% in the eastern area, 17.01% in the central area and 49.94% in the eastern area. The accuracy of the Naїve Bayes method averaged 96.99%. Prior to publication, the General Election Committee is recommended to respect someone's personal data as privacy and the data which would be published should obtain approval and an easily-contacted contact person.

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Optimization of artificial neural networks to improve accuracy of vocational competence selection of vocational school students using nguyen-widrow

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Journal of Physics: Conference Series 2020年第1期1516卷

作者： I G P Christyaditama I M Candiasa I G A Gunadi Study Program of Computer Science Postgraduate Program Ganesha University of Education Singaraja Indonesia

The present study used Neural Network Backpropagation combined with Nguyen-Widrow to optimize the disadvantages of ANN causes, which is the difficulty in initializing initial weights. The test was conducted on a dataset of values in semesters 1 and 2. The test results show that the best performance in training model of artificial neural networks with Nguyen-widrow is the smallest average MSE error of 0.002 and the highest average accuracy of 96.38%. Training on artificial neural network model training data with Nguyen-widrow has the smallest MSE error, 0.000996 and the highest accuracy is 97.49% on architecture ANN 9-9.1 with training function parameters: traingdx, epoch: 1000, learning rate: 0.1, and error: 0.001. The best performance was also seen in testing the testing of artificial neural network models with Nguyen-widrow with the smallest average error-MSE of 0.026 and the highest average accuracy of 87.85%. Training data testing on artificial neural network models with Nguyen-widrow has the smallest error-MSE which is 0.004436 and the highest accuracy is 94.50% on architecture ANN 9-9.1 with training function parameters: traingdx, epoch: 1000, learning rate: 0.1, and error: 0.001. The artificial neural network model with Nguyen-widrow has an accuracy difference of 8.53% smaller than the artificial neural network model with an accuracy difference of 9.28%. It can be concluded that the Artificial Neural Network with Nguyen-Widrow can overcome the ANN problem in determining initial weights so that it gives an increase in the accuracy of the prediction of students' competency selection better than the Artificial Neural Network without Nguyen-Widrow.

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Evaluative Study Of Integration Of Clinic Management Information System With Pcare BPJS of health Using COBIT 4.1 Approach

Evaluative Study Of Integration Of Clinic Management Informa...

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International Conference on computer science, Information Technology, and Electrical Engineering

作者： Ely Mulyadi Kadek Yota Ernanda Aryanto I Made Candiasa Department of Information Technology Politeknik Negeri Jember Department of Computer Science of Postgraduate Program Universitas Pendidikan Ganesha

ISBN: (纸本)9781728134376

The aim purposed of this research is to evaluate clinical management information system called (E-CLINIC) which is integrated with the Primary Care (Pcare) application provided by Indonesia sosial healt insurance organization called BPJS Kesehatan to first level of health cares facility called as FKTP. This evaluation is intended to measure the maturity level on used of two integrated applications using COBIT 4.1 framework. The integration of the Clinic's management information system with PCare is considered to be the main resource that has strategic value to be able to manage information effectively and efficiently for the achievement of organizational goals. The results achieved have been running in accordance with the organization's business objectives, this can be seen from the level of maturity that reaches level 3 (Defined), which is a condition in which the organization has formal and written standard procedures that have been socialized to all levels of management and employees to be obeyed and run in daily activities.

关键词： E-Clinic MIS PCare BPJS COBIT Maturity Management Information Systems Maturity maturity level DNA Integration integration health level health clinic Daily Activities

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Comparison of Naive Bayes and K-NN Method on Tuition Fee Payment Overdue Prediction

Comparison of Naive Bayes and K-NN Method on Tuition Fee Pay...

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International Conference on Information Technology, Information Systems and Electrical Engineering (ICITISEE)

作者： Kusrini Kusrini Emha Taufiq Luthfi Muqorobin Muqorobin Robi Wariyanto Abdullah Postgraduate Program Universitas AMIKOM Yogyakarta Yogyakarta Indonesia Computer Science Faculty Universitas AMIKOM Yogyakarta Yogyakarta Indonesia

ISBN: (数字)9781728151182

ISBN: (纸本)9781728151199

Attending basic education is an obligation for all Indonesian citizens. The financial cost is one of the input components to implement an education or even can be considered as the main requirement in achieving the goal of education. For a private education institution in Indonesia, the financial cost is mainly covered by students' tuition payments. SMK Al-Islam Surakarta is a private school that manages all its students to pay school tuition fees monthly. According to its last year's administrative report, the number of students who are late in paying school tuition fee is around 60%. Since the school's operational costs are heavily depended on their income from tuition fees, this considered an essential problem and has to be managed and predicted as well. This research will discuss techniques in predicting the late payment of tuition fees. From many popular methods available in this area, we observed two of them namely Naive Bayes and K-Nearest Neighbor (K-NN). This study will compare the accuracy between those two methods. The data used for the lab work is the official education basic data of Al-Islam Surakarta Vocational School in 2017/2018 totaling 236 data. To increase its accuracy, this study also combines the prediction methods with feature selection technique Information Gain which is commonly used to select an optimal parameter for the prediction process. In the end, the system is tested using the Confusion Matrix method. The results showed that the Naive Bayes Method with Information Gain attribute selection produced the highest accuracy of 69%.

关键词： Mathematical model Education Testing Entropy Prediction algorithms Classification algorithms Senior citizens

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Evaluation of governance financial management information system (SIPKD) with framework of COBIT 5 in the government of Denpasar city

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Journal of Physics: Conference Series 2020年第1期1516卷

作者： I W S M Vergantana I G R Dantes K Y E Aryanto Study Program of Computer Science Postgraduate ProgramGanesha University of Education Singaraja Indonesia

Denpasar City Government is one of the government agencies that hav implemented the Regional Financial Management Information System (SIPKD). SIPKD is an integrated application that is used as a tool for regional governments for improving the effectiveness of the implementation of various regulations in the field of regional financial management based on the principles of efficiency, economic, effective, transparent, accountable and auditable. Research Evaluation of SIPKD governance in Denpasar City Government was conducted based on the framework of the COBIT 5 (Control Objective for Information & Related Technology) framework of ISACA 2012, which was modified according to the conditions at the study site. The research method used was descriptive-quantitative evaluation and cascading evaluation method at the COBIT 5 stage, by distributing questionnaires to each admin as many as 40 respondents, to get scores in the form of numbers and conducting structured interviews with BPKAD leaders to obtain the expected capability level conditions. Evaluation of SIPKD governance with COBIT 5 uses the PAM (Process Assessment Model) analysis as a reference in determining its attributes, with the results of the capability level currently at the level 3 established process in the APO01 process of 77% achieved, APO012 of 78% achiaved, DSS04 by 77% mostly achiaved, EDM03 by 78% largely achieved, and MEA03 by 77% largely achieved, which means that in the management of SIPKD the Denpasar City Government has been well established in managing SIPKD conducted by all SIPKD administrators and operators along with BPKAD leaders in Denpasar. And the results of the interview the desired results are at level 4 predictable process.

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