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JOIV : International Journal on Informatics Visualization

joiv
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Published by Politeknik Negeri Padang

ISSN : 25499610 EISSN : 25499904 DOI : -

Core Subject : Science,

Computer Science & IT

JOIV : International Journal on Informatics Visualization is an international peer-reviewed journal dedicated to interchange for the results of high quality research in all aspect of Computer Science, Computer Engineering, Information Technology and Visualization. The journal publishes state-of-art papers in fundamental theory, experiments and simulation, as well as applications, with a systematic proposed method, sufficient review on previous works, expanded discussion and concise conclusion. As our commitment to the advancement of science and technology, the JOIV follows the open access policy that allows the published articles freely available online without any subscription.

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Articles 11 Documents

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Search results for , issue "Vol 2, No 3 (2018)" : 11 Documents clear

Bitcoin Generation using Blockchain Technology Balajee Maram
JOIV : International Journal on Informatics Visualization Vol 2, No 3 (2018)
Publisher : Politeknik Negeri Padang

There are limitations in client-server model of communication. Distributed architecture provides good accessibility to all the nodes in the network. A blockchain technology is follows distributed model. In the digital era, all the transactions are available in the digital form is called a ledger. This ledger belongs to all the users in the network are shared by all the users in the network. Every transaction is monitored and verified by every user in the network. The blockchain is a chain of blocks that contains a collection of transactions. Bitcoin is a cryptocurrency, depends on blockchain technology. The Bitcoins are generated from the mining of a block for the miner. Every user knows about each and every Bitcoin transaction in the blockchain network. The block is immutable, because every block is verified by each customer in the blockchain network. This is the initiation for new trend for security to the digital transactions in the world. This paper presents the logic in the blockchain and Bitcoin generation process using blockchain technology.

BlogNewsRank: Finding and Ranking Frequent News Topics Using Social Media Factors Harshitha H; Mohammed Rafi
JOIV : International Journal on Informatics Visualization Vol 2, No 3 (2018)
Publisher : Politeknik Negeri Padang

In early days, mass media sources such as news media used to inform us about daily events. Now a days, social media services such as Twitter huge amount of user-generated data, which has a great potential to contain informative news-related content. For these resources to be useful, we have to find a way to filter noise and capture the content that, based on its similarity to the news media, is considered valuable. Even after noise is removed, information overload may still exist in the remaining data. Hence it is convenient to prioritize it for consumption. To achieve prioritization, information must be ranked in order of estimated importance considering mainly three factors. First, the temporal prevalence of a particular topic in the news media is a factor of importance, and can be considered the media focus (MF) of a topic. Second, the temporal prevalence of the topic in social media indicates its user attention (UA). Last, the interaction between the social media users who mention this topic indicates the strength of the community discussing it, and can be regarded as the user interaction (UI) toward the topic. We propose an unsupervised framework—BlogNewsRank—which identiﬁes news topics prevalent in both social media and the news media, and then ranks them by relevance(frequency) using their degrees of MF, UA, and UI.

Weighting based approach for learning resources recommendations Outmane Bourkoukou; Omar Achbarou
JOIV : International Journal on Informatics Visualization Vol 2, No 3 (2018)
Publisher : Politeknik Negeri Padang

Personalized e-learning systems based on recommender systems refines enormous amount of data and provides suggestions on learning resources which is appealing to the learner. Although, the recommender systems depends on content based approach or collaborative filtering technique to make recommendations, these methods suffers from cold start and data sparsity problems. To overcome the limitations of the aforementioned problems, a weight based approach is proposed for better performance. The main criterion for building a personalized recommender system is to exploit useful content and provide better recommendations with minimal processing time. The proposed system is a web based client side application which uses user profiles to form neighborhoods and calculates predictions using weights. For newcomers a profile is constructed based on learning styles. The resources which might be of interest to the user are predicted from calculated predictions.

Enabling Key Technologies and Emerging Research Challenges Ahead of 5G Networks: An Extensive Survey C. Amali; B. Ramachandran
JOIV : International Journal on Informatics Visualization Vol 2, No 3 (2018)
Publisher : Politeknik Negeri Padang

The evolution towards 5G networks is expected to slake the growing thirst of internet traffic with improved Quality of Service (QoS) and reduced energy consumption and cost. The increased penetration of smart devices and induction of arising multimedia applications, together with high quality video services are already crafting a milestone on existing cellular networks. These surging demands dictate that radical enhancements need to be made in cellular architecture to drift towards ultra-dense networks. The 5G system is envisioned to achieve improved data rate, increased capacity, decreased latency, and enhanced spectral efficiency in order to provide technical solution for the challenges behind the cellular networks. Thus, the 5G era is emerging to quench the increasing demand for network capacity, to manage explosive growth of traffic patterns and to face the challenges caused by the proliferation of versatile applications and high-end devices. In this paper, we make a broad survey on 5G cellular network architecture and some of the promising key technologies such as cloud RAN (Radio Access Network), Software-Defined Networking (SDN), Network Function Virtualization (NFV) and modulation formats. Finally, this ground-breaking survey highlights major existing research issues and possible future research directions in the next new era of mobile wireless networks.

Enhanced Big Data Platform for Visualization of Employee Data. Manishankar S; S. Sathayanarayana
JOIV : International Journal on Informatics Visualization Vol 2, No 3 (2018)
Publisher : Politeknik Negeri Padang

In this Digital world storage area capacity required for an Enterprise is quite huge, and processing that Big Data is one of the major challenging areas in today’s information technology. As the heterogeneous data from the various sources grow rapidly, there should be some proficient way for data storage for each enterprise. Most of the Enterprises have a tendency to migrate their data in to servers with high processing capability to handle variety and voluminous data. Major problem that arises in such big data servers of an Enterprise is the process involved in segregating data according to their types. In this research, an efficient methodology is proposed which handles the segregation of data inside a server with multi valued distribution-based clustering. These clustering-based solutions provide an efficient visualization of varying data in the server and also a separate visualization of employee data too. The paper discusses about the simulation of the clustering technique with respect to an Enterprise data and visualization of file storage structure and categorization of data, also it gives a picture of performance of the Big data server.

A Beamforming Algorithm for MIMO SWIPT Systems Nguyen Duy-Nhat Vien
JOIV : International Journal on Informatics Visualization Vol 2, No 3 (2018)
Publisher : Politeknik Negeri Padang

Efficient usage of energy resources is a growing concern in today’s communication systems. Energy harvesting is a new paradigm and allows the nodes to recharge their batteries from the environment. In this paper, we focus on the design of optimal linear beamformer for multi- input multi-output (MIMO) simultaneous wireless information and power transfer (SWIPT) system. We formulate the problem of maximizing the information rate while keeping the energy harvested at the energy receivers above given levels. Finally, simulation results demonstrate the efﬁciency of the proposed algorithm.

Illiteracy Classification Using K Means-Naïve Bayes Algorithm Muhammad Firman Aji Saputra; Triyanna Widiyaningtyas; Aji Prasetya Wibawa
JOIV : International Journal on Informatics Visualization Vol 2, No 3 (2018)
Publisher : Politeknik Negeri Padang

Illiteracy is an inability to recognize characters, both in order to read and write. It is a significant problem for countries all around the world including Indonesia. In Indonesia, illiteracy rate is generally set as an indicator to see whether or not education in Indonesia is successful. If this problem is not going to be overcome, it will affect people’s prosperity. One system that has been used to overcome this problem is prioritizing the treatment from areas with the highest illiteracy rate and followed by areas with lower illiteracy rate. The method is going to be a way easier to be applied if it is supported by classification process. Since the classification process needs a class, and there has not been any fine classification of illiteracy rate, there is needed a clustering process before classification process. This research is aimed to get optimal number of classes through clustering process and know the result of illiteracy classification process. The clustering process is conducted by using k means algorithm, and for the classification process is conducted by using Naïve Bayes algorithm. The testing method used to assess the success of classification process is 10-fold method. Based on the research result, it can be concluded that the optimal illiteracy classes are three classes with the classification accuracy value of 96.4912% and error rate value of 3.5088%. Whereas the classification with two classes get the accuracy value of 93.8596% and error rate value of 6.1404%. And for the classification with five classes get the accuracy value of 90.3509% and error rate value of 9.6491%.

An Analytical Approach for Decision-Making Sakshi Aggarwal; Shrddha Sagar
JOIV : International Journal on Informatics Visualization Vol 2, No 3 (2018)
Publisher : Politeknik Negeri Padang

In this complex world, coping with daily problems is quite tedious. The more advancement in technology means more difficulties in decision-making process. Hence some analytical tools are needed to deal with improvement in decisions being made. A classic AHP model enables us to make efficient decision by reducing the complex issues. It takes multiple parameters into consideration. One of the area where decision-making is quite a tough job is Politics. Selection of the electoral party in any elections, be it Lok Sabha elections or Rajya Sabha elections, has been a matter of discussion for the voters as well as the media. The decisions are reflected when uncertainties are added in the opinions of the domain experts due to multiple parameters. In this paper we have proposed a model for rectifying the uncertainties using multi criteria decision analysis and analytic hierarchy process (AHP).

Sybil Node Detection in Mobile Wireless Sensor Networks Using Observer Nodes Mojtaba Jamshidi; Milad Ranjbari; Mehdi Esnaashari; Nooruldeen Nasih Qader; Mohammad Reza Meybodi
JOIV : International Journal on Informatics Visualization Vol 2, No 3 (2018)
Publisher : Politeknik Negeri Padang

Sybil attack is one of the well-known dangerous attacks against wireless sensor networks in which a malicious node attempts to propagate several fabricated identities. This attack significantly affects routing protocols and many network operations, including voting and data aggregation. The mobility of nodes in mobile wireless sensor networks makes it problematic to employ proposed Sybil node detection algorithms in static wireless sensor networks, including node positioning, RSSI-based, and neighbour cooperative algorithms. This paper proposes a dynamic, light-weight, and efficient algorithm to detect Sybil nodes in mobile wireless sensor networks. In the proposed algorithm, observer nodes exploit neighbouring information during different time periods to detect Sybil nodes. The proposed algorithm is implemented by J-SIM simulator and its performance is compared with other existing algorithm by conducting a set of experiments. Simulation results indicate that the proposed algorithm outperforms other existing methods regarding detection rate and false detection rate. Moreover, they also showed that the mean detection rate and false detection rate of the proposed algorithm are respectively 99% and less than 2%.

Developing Context Awareness Mobile Application for Blood Donation Dian Pradhana Sugijarto; Muriati Mukhtar; Nurhizam Safie; Riza Sulaiman
JOIV : International Journal on Informatics Visualization Vol 2, No 3 (2018)
Publisher : Politeknik Negeri Padang

The implementation of context awareness in smartphones is getting broader. Through embedded sensors in smartphones, they are able to detect the device’s location and communicate through radio frequency. By communicating through Near Field Communication (NFC), smartphones are able to read NFC tags in short distances to understand the context of the information. Developing a mobile application in the context of blood donation will allow the application to assist donors through the process of donation and improves the user’s experience. The blood donation study is conducted at the National Blood Centre (NBC) in Malaysia. In developing the mobile application, the system architecture and development pattern were designed. The system architecture is presented to understand the requirements of implementing the application. The Model-View-Presenter (MVP) pattern was utilized to develop the application to ensure the development followed the standard procedure. The mobile application with the context awareness ability was evaluated through interviews with potential end users and the stakeholders of NBC. The evaluation resulted in positives responses and offered valuable feedbacks.

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Contact Name
Rahmat Hidayat

Contact Email
mr.rahmat@gmail.com

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Journal Mail Official
rahmat@pnp.ac.id

Editorial Address
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Location
Kota padang,

Sumatera barat

INDONESIA

Abstract

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Home Page

OAI Link

Editorial Team

Contact

Reviewer

Google Scholar

Contact Name Rahmat Hidayat

Contact Email mr.rahmat@gmail.com

Phone -

Journal Mail Official rahmat@pnp.ac.id

Editorial Address -

Location Kota padang, Sumatera barat INDONESIA

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Contact Name
Rahmat Hidayat

Contact Email
mr.rahmat@gmail.com

Phone
-

Journal Mail Official
rahmat@pnp.ac.id

Editorial Address
-

Location
Kota padang,

Sumatera barat

INDONESIA