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QoS analysis on OSPFv3 and RIPng Using GRE Tunneling on IPv6 Integrated Ipv4 Network 2

QoS analysis on OSPFv3 and RIPng Using GRE Tunneling on IPv6...

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2nd International Conference on Technology, Innovation, Society and Science-to-Business, ICTIS 2018

作者： Warman, Indra Franozal, Alex Institut Teknologi Padang Informatics Engineering Study Program Padang Indonesia

Every year, the availability of public IPv4 addresses is running low. However, the IETF (Internet Engineering Task Force) has set a new addressing standard called IPv6 (Internet Protocol version 6). IPv6 implementations can not be immediately performed on all end-to-end lines, a transition phase is required, one of which is the GRE tunneling method. IPv6 has some differences with IPv4, then in line with the presence of IPv6 will required the protocol that compatible with IPv6, among which is the routing protocol. Some dynamic routing protocols are created to support and can run on IPv6 such as RIPng and OSPFv3. Aim of this study is examines OSPFv3 routing protocols and RIPng routing protocols in terms of Quality of Service (QoS). The test is done by using seven routers with three scenarios in each routing protocol, ie scenario with best path active condition, when the network changes in other words best path down, and the scenario with best path condition has changed and the network has returned to normal. Testing is done by testing QoS parameters (delay, packet loss, and throughput) when the client computer downloads files with *** extension from the server. Downloaded files have different sizes, from 100 Mega Byte to 1 Giga Byte. From the results obtained that OSPFv3 provides better QoS (delay, packet loss, and throughput) than RIPng on integrated IPv6 network using GRE tunnel and can be a reference when going to transition from IPv4 to IPv6 using GRE Tunnel. © The Authors, published by EDP Sciences, 2018.

关键词： Routing protocols

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Design Technology of Geographical Information System of Rice Pandanwangi Cianjur Prediction Factors Products 1

Design Technology of Geographical Information System of Rice...

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1st Paris Van Java International Seminar on Computer, Science, Engineering, and Technology, PVJ ISComSET 2020

作者： Musrifah, Ai Adikusuma, Andri Sutono Informatics Engineering Study Program Faculty of Engineering University of Suryakancana Indonesia

Cianjur is one of the renowned rice producers, particularly with the presence of Pandanwangi rice that can be grown in the Cianjur area. Pandanwangi has become one of Cianjur City's icons, the rice supremacy created by Pandanwangi Cianjur's tenacity and distinctive scent (pandanus fragrance). The Interest of pandanwangi was very high, both within the town of Cianjur and outside the town of Cianjur, but this was inversely proportional to the desires of the groups of farmers who appeared to prefer to plant rice other than Pandanwangi, on the grounds that the planting of Pandanwangi had a long harvest and that the likelihood of crop failure was also very high. Problems with information flows that are not well integrated between farmers' groups, farmers' group organizations, and the Agriculture Department in adjusting land details, planting time, planting location, estimating total harvest and harvesting time. To solve this problem, a framework must be built that can integrate the information needed for Pandanwangi Cianjur Harvest Prediction with Pandanwangi farmers' regional analysis based on geographic information system technology, using Google Maps Service. © Published under licence by IOP Publishing Ltd.

关键词： Harvesting

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Comparison Analysis of Simple Additive Weighting (SAW) and Weigthed Product (WP) in Decision Support Systems 2

Comparison Analysis of Simple Additive Weighting (SAW) and W...

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2nd International Conference on Technology, Innovation, Society and Science-to-Business, ICTIS 2018

作者： Wira Trise Putra, Dede Agustian Punggara, Adrian Institut Teknologi Padang Informatics Engineering Study Program Padang Indonesia

Decision support system is a way to help decision maker to choose the best decision from several available alternatives. In the process of decision support system required criteria and weights to be used in the calculation process. Simple additive weighting (SAW) and Weigthed product (WP) are methods in decision support systems that have a search method taking into account the weights held by the criteria. comparison analysis is performed to look at between the WP and SAW methods, methods that have a higher level of accuracy and are in accordance with the conditions. The SAW method uses a weighted weaning system whereas the WP method uses multiplication in calculating the attribute rating. From the weight of each criteria there will be used in the calculation to produce several alternatives. The object of the case study in this study is the determination of people's business credit in the banking world using seven criteria. the criteria used are personal character, credit status, business condition, income, guarantee, guarantee condition and installment. Results of testing using SAW method and WP method, it can help compare the best alternative level results by using the same data and criteria, so both methods can be used as consideration in decision making. WP method gives clear cost and benefit value compared to SAW, but in SAW result gives more clear result because it is based on predetermined value and weight. © The Authors, published by EDP Sciences, 2018.

关键词： Decision support systems

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Comparison of case-based reasoning and dempster shafer on expert system of cassava disease identification 2

Comparison of case-based reasoning and dempster shafer on ex...

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2nd International Conference on Technology, Innovation, Society and Science-to-Business, ICTIS 2018

作者： Minarni Warman, Indra Yuhendra Handayani, Wenda Institut Teknologi Padang Informatics Engineering Study Program Padang Indonesia

This study aims to develop a web-based expert system that can identify cassava disease using Case-Based Reasoning Method and Shafer Dempster Method, and to know the performance comparison of both based on the accuracy of identification. Case-Based Reasoning (CBR) is a computer-generated system that uses old knowledge to solve new problems. CBR provides solutions to new cases by looking at the oldest cases that are closest to new cases. The identification process is done by entering new cases containing the symptoms to be identified into the system, then perform the process of calculating the value of similarity between the new case and the base case using the nearest neighbor method. Dempster Shafer based on two ideas is the idea of obtaining degrees of confidence of subjective possibilities and the rule of dempster safer itself to combine degrees of confidence based on the evidence obtained. This expert system is built using PHP programming language and MySQL data base. The output of the system is the percentage of identification result of both methods. Testing and analysis results show that Case-Based Reasoning provides better identification accuracy than Dempster Shafer. © The Authors, published by EDP Sciences, 2018.

关键词： Case based reasoning

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Utilization of the gesture library for learning Java characters interactively 12

Utilization of the gesture library for learning Java charact...

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12th International Conference on Telecommunication Systems, Services, and Applications, TSSA 2018

作者： Dyah Puji Astuti, Nur Rochmah Arfiani, Ika Laksono, Doni Nur Informatics Engineering Study Program Ahmad Dahlan University Yogyakarta Indonesia

ISBN: (纸本)9781538669402

Javanese characters is a priceless cultural heritage. The form of the characters and the art of making it become a legacy that deserves to be preserved. The difficulty that is often experienced by the community is in terms of remembering the form, pronunciation, and errors in placing Javanese characters pairs and the lack of available references. Coupled with the elimination of curricula regarding regional languages at the SMA / SMK level. This encourages writers to conduct research and build mobile learning applications for Java characters learning. With the aim of producing a Mobile Learning application that can Assist learning and writing Javanese characters to be more interactive so as to motivate the community to learn Javanese *** use of the Gesture API technology that functions when the user starts touching the screen and performs the movements that have been determined by the system and understood by the system itself. The steps taken are analyzing the problem regarding the making of this Java characters mobile learning application through observation, interviews and literature studies to be further identified to obtain data from the general public. Then do the system needs analysis, user needs analysis, while the results will be tested using Black Box and Post study analysis to determine the extent of the usability system to the problems in the communityThe results of the application built in the form of the introduction of Javanese characters with a gesture board, Javanese characters pronunciation in the form of audio visual and Javanese characters quiz writing so that it was more effective and interactive. With the results of testing the black box test, the application built has been running according to its use and function and based on post study testing obtained the average rating of respondents with the results stated that community categories are acceptable, acceptable and acceptable students. © 2018 IEEE.

关键词： Android (operating system)

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Finding the Best Techniques for Predicting Term Deposit Subscriptions (Case study UCI Machine Learning Dataset) 4

Finding the Best Techniques for Predicting Term Deposit Subs...

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4th International Conference on Sustainable Engineering and Creative Computing, ICSEC 2022

作者： Setiyani, Lila Indahsari, Ayu Rosalina Wansen, Tjong President University Master of Science Information Technology Study Program Bekasi Indonesia President University Informatics Study Program Bekasi Indonesia

ISBN: (纸本)9798350322002

Knowing a lot about attributes, such as bank client data, marketing campaigns, social and economic context, and so on, is necessary to predict which bank customers are likely to sign up for time deposits. The direct marketing campaigns dataset for the bank institution was made available by the UCI machine learning repository. This dataset had previously been used in studies to forecast customers who would sign up for time deposits, but the outcomes of the two studies were different. The purpose of this study is to determine which machine learning methods are most effective for predicting customers who will sign up for time deposits. In this study, researchers used machine learning methods like random forests, K-nearest neighbors, decision trees, naive bayes, logistic regression, SVM, and XGBoost to uncover the truth. Results showed that XGBoost had the highest accuracy (91.73%), followed by the DT classifier (88.79%), LR classifier (91.2%), NB classifier (84.78%), KNN classifier (90.6%), SVM (89.6%), and XGBoost (91.44%). © 2022 IEEE.

关键词： Forecasting

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Influence of blended learning on learning result of algorithm and programming 3

Influence of blended learning on learning result of algorith...

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3rd International Conference on informatics and Computing, ICIC 2018

作者： Anggrawan, Anthony Ibrahim, Nurdin Suyitno, M. Satria, Christofer Informatics Engineering Study Program of College of Informatics Management and Computer Science Bumigora West Nusa Tenggara Indonesia Education Technology Study Program of Jakarta State University Jakarta Indonesia Education Technology Study Program of Jakarta State University Jakarta Indonesia Visual Communication Design Study Program of College of Informatics Management and Computer Science Bumigora West Nusa Tenggara Indonesia

ISBN: (纸本)9781538669204

The advancement of today's learning technology makes the learning process no longer fully bases on face to face learning, but can achieve by online learning. Online learning is not only useful in overcoming deficiencies in conventional classroom learning, but also a means to meet the learning styles of students who are less fond of and/or dislike face-to-face learning. On the other hand, the main disadvantage of online learning is the lack of face-to-face interaction, while the strength of face-to-face learning is the intensity of student interaction with teachers, the ease of cooperative learning and the clarity of learning materials. In turn, the superiorities on face-to-face learning and online self-learning can be acquired by blended learning. However, blended learning is a learning solution by taking the best advantage of face-to-face classroom learning and online learning. Blended learning has been a learning solution of today's learning. In this study, two blended learning that has different learning content portions between the portion of face-to-face learning materials and online self-learning was conducted to find out which blended learning results produce better pedagogy between two blended learning, and how well the learning outcomes of blended learning are, especially for Algorithm and programming subject. The research results showed the blended learning with 60% face-to-face learning content and 40% online self-learning content delivers learning cognitive competency outcomes worse than 40% face-to-face learning content and 60% online self-learning content. The learning outcome of both blended learning is good, that is greater than 60% from the ideal number. © 2018 IEEE.

关键词： Students

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Analysis on vocational high school teacher competency gaps: Implication for VHS teacher training needs 2

Analysis on vocational high school teacher competency gaps: ...

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2nd International Conference on Vocational Education and Technology, IConVET 2019

作者： Wahyuni, D.S. Agustini, K. Sindu, I.G.P. Sugihartini, N. Informatics Engineering Education Study Program Universitas Pendidikan Ganesha81116 Indonesia

This study proposed a novel approach that integrates qualitative and quantitative methods to identify the competency gaps of VHS teachers in Vocational High Schools (VHSs). It comprised four research steps, namely (1) determining the ideal teacher competencies through Fuzzy Delphi technique, (2) arranging the competency priorities by using the analytic hierarchy process, (3) conducting VHS teacher performance evaluation by using a 360-degree rater, and (4) the competency gaps analysis using the IPA matrix. The sample members involved in this study were 7 experts from the industry, academia, and government, and 50 VHS teachers from several regencies in Bali Province, Indonesia. This study suggested that the gaps analysis between the existing VHS teacher competencies and the ideal ones include (1) the pedagogical competency - the low level of factual knowledge mastery in vocational knowledge and skills;(2) mastery in the application of contents;(3) mastery of content knowledge related to vocational teaching subjects;(4) networking and collaboration between the relevant industry and government;(5) continuous professional development;and (6) entrepreneurship. These findings imply that these needs of competencies should be the focus of teacher training programs for VHS teachers. © 2020 IOP Publishing Ltd. All rights reserved.

关键词： Personnel training

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The Indonesian Language speech synthesizer based on the Hidden Markov Model 1

The Indonesian Language speech synthesizer based on the Hidd...

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1st International Conference on Electrical Engineering and Computer Science, ICEECS 2014

作者： Jangtjik, Kevin Alfianto Lestari, Dessi Fuji Informatics/Computer Sciences Study Program Institut Teknologi Bandung Bandung Indonesia

ISBN: (纸本)9781479984770

Speech synthesizer is a technology which gives the computer a capability to speech text sequences. In this research, we develop a speech synthesizer for Indonesian Language based on the Hidden Markov Model (HMM). The Speech synthesizer using the HMM can produce more appropriate result than based on the syllable concatenation. There are some studies of speech synthesizers using HMM for Indonesian Language. However, it still has some problems such as it still cannot distinguish between vowel 'e' ('e' in 'get' is different from 'e' in 'apple');It cannot handle abbreviation, numbers, special characters, and foreign (English) terms widely. In this research, we also proposed some methods to solve those problems. To solve 'e' problem, this research divided the HMM for the 2 'e' vowel. To solve the other problems, the 'e' rules, the abbreviation rules, the number rules, the special character rules, and the foreign term rules are made. To evaluate the synthesizer, we employ two methods: the Mean Opinion Score (MOS) to measure the naturalness of synthesized speech;and the Semantically Unpredictable Sentence (SUS) to measure the accuracy of the synthesized speech. Result shows that the developed speech synthesizer improved the naturalness of synthesized speech. It achieves 4.1 for MOS point and 96,07 % word accuracy. © 2014 IEEE.

关键词： Hidden Markov models

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Securing elliptic curve based El-Gamal against Pollard Rho attack using elliptic curve based Diffie-Hellman key exchange

Securing elliptic curve based El-Gamal against Pollard Rho a...

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7th International Conference for Internet Technology and Secured Transactions, ICITST 2012

作者： Zani, Tafta Barmawi, Ari Moesriami Abdurohman, Maman Informatics Study Program Graduate School of Telkom Institute of Technology Bandung Indonesia

ISBN: (纸本)9781908320087

Elliptic Curve based El-Gamal (ECEG) cryptosystem is one of many widely used public key cryptosystems that makes use the elliptic curve discrete logarithm problem (ECDLP). For breaking ECDLP, Pollard Rho is currently the fastest attack. In this study a hybrid of Elliptic Curve based Diffie-Hellman Key Exchange (ECDHKE) and ECEG, is modified as an attempt to make harder for an attacker to reveal ECEG's private key by executing Pollard Rho attack using information from the public key gained by eavesdropping. This study examine the modified ECEG strength increase and the feasibility for implementing the modified ECEG. © 2012 Infonomics Society.

关键词： Geometry

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