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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.

Arjuna Subject : -

Articles 10 Documents

Search results for , issue "Vol 2, No 2 (2018)" : 10 Documents clear

Big Data and Shipping-managing vessel performance Mandeep Virk; Vaishali Chauhan
JOIV : International Journal on Informatics Visualization Vol 2, No 2 (2018)
Publisher : Politeknik Negeri Padang

Shipping business is staggering the trade by a substantial number which portrays the usage of leading technologies to deliver formative and reliable performance to deal with the increasing demand. Technologies like AIS, machine learning, and IoT are making a shift in shipping industry by introducing robots and more sensor equipped devices. The hitch big data originates as a technology which is proficient for assembling and transforming the colossal and divergent figures of data providing organizations with meaningful insights for better decision-making. The size of data is increasing at a higher rate because of the procreation of peripatitic gadgets and sensors attached. Big data is accustomed to delineate technologies and techniques which are used to store, manage, distribute and analyze huge data sheets with a high rate of data occurrence. This gigantic data is allowing to terminate the business by developing meaningful and valuable insights by processing the data. Hadoop is the fundamental basic for composing big data and furnishes with convenient judgments through analysis. It enables the processing of large sets of data by providing a higher degree of fault-tolerance. Parallelism is adapted to process big size of data in the efficient and inexpensive way. Contending massive bulk of data is a determined and vigorous assignment that needs an enormous crunching armature to guaranty affluent data processing and analysis.

Research and development of virtualization in Wireless sensor networks M. Sandeep Kumar; Prabhu. J
JOIV : International Journal on Informatics Visualization Vol 2, No 2 (2018)
Publisher : Politeknik Negeri Padang

Virtualization is foundational for applying both cloud computing and big data. It provides the basis for many platform attributes required to access, store, analyze, and manage the distributed computing components in big data environments. Virtualization also able to use in a wireless sensor network in Agriculture field. WSNs emerging approach in commercial applications like Healthcare, agriculture, Industries. Virtualization in sensor network offers more flexibility, cost, effective solution; promote diversity, security, and manageability. In this chapter describes WSNs in agriculture domain, issues, challenges, etc. Also describes virtualization technology, techniques, and tools.

Comparison of NoSQL Database and Traditional Database-An emphatic analysis M. Sandeep Kumar; Prabhu .J
JOIV : International Journal on Informatics Visualization Vol 2, No 2 (2018)
Publisher : Politeknik Negeri Padang

A Huge amount of data is manipulated by using the web application, Facebook, Twitter, social sites etc. Most of the data are unstructured data. It is not desirable for storing, performing and analyzing data in the relational database for huge data. It affords way towards performing NoSQL database and uses fully for handling the big data. In this paper, we present the performance in store and query operation in NoSQL database, estimating the performance of both reads and write operation using simple and complex queries. Result represents that comparing Cassandra with relation database, Cassandra outperforms the relation database. Most of the organization used only Hbase and Cassandra for benefit of cost. Comparison Various NoSQL Database, issues while performing NoSQL database.

Instructor Adoption of E-learning Systems in Tanzania’s Universities: A Proposed Multi-Factors Adoption Model (MFAM11) Deogratius Mathew Lashayo; Md Gapar Md Johar
JOIV : International Journal on Informatics Visualization Vol 2, No 2 (2018)
Publisher : Politeknik Negeri Padang

Current studies show that there is no comprehensive adoption model in e-learning systems in universities. This problem opens up to too much debates about which models and frameworks fit well in an e-learning environment particularly in universities in Tanzania. This paper answers the two debatable questions, which are:(1) what are the factors that affect adoption of e-learning systems in Tanzania’s universities, (2) what is the comprehensive e-learning adoption model in universities in Tanzania. This research study adapts DeLone and McLean (2003) IS model after an extensive literature reviews conducted in information systems and in e-learning systems. The findings from this research will add up to literature of limited factors’ model and it will open it up for validation in a different universities’ application domain.

Embedded System Using Field Programmable Gate Array (FPGA) myRIO and LabVIEW Programming to Obtain Data Patern Emission of Car Engine Combustion Categories - Andrizal; Rivanol Chadry; Ade Irma Suryani
JOIV : International Journal on Informatics Visualization Vol 2, No 2 (2018)
Publisher : Politeknik Negeri Padang

Engine scanner unit is a tool used by mechanical power to know the condition of car engine combustion at the time of tune up process done. The level of elements and compounds that dominant in determining categories of combustion of gasoline fuel car engines through the levels of elements and compounds contained in exhaust emissions are Hydrocarbons (HC), Carbon Monoxide (CO), Carbon Dioxide (CO2) and Oxygen (O2). Complete combustion category produces maximum power, fuel efficiency and emission levels according to the threshold. This occurs when there is a balance of the amount of fuel, airflow and ignition in the engine combustion chamber. Elements and compounds contained in car exhaust emissions can be detected with sensors that are sensitive to elemental levels and these compounds are HC, CO, CO2, and O2 sensors. This study aims to display the data pattern category of combustion engine through exhaust emissions based on multi sensor detection processed with signal processing system in the form of Fast Fourier Transform (FFT) process. Furthermore, data pattern is performed in accordance with the category of combustion engine detected. The system is designed with embedded system using Field Programable Gate Array (FPGA) myRIO and LabVIEW programming. The results in the test displays the data pattern and the comparison test of the reference data pattern with the data pattern of the detection result. The comparison test result of data pattern similar to 87% complete engine combustion category and similar to incomplete combustion category 90%.

Addressing the Challenges and Issues of Blood Donation via Ubiquitous Computing Dian Pradhana Sugijarto; Nurhizam Safie; Muriati Mukhtar; Riza Sulaiman
JOIV : International Journal on Informatics Visualization Vol 2, No 2 (2018)
Publisher : Politeknik Negeri Padang

Blood is undeniably essential to save lives. The high demand for blood cannot compete with the amount collected through blood donation. In order to cater to the issue, researchers tend to focus more on the donors’ side. Meanwhile, the other party which is the blood bank continues to play its role to increase the blood supply. The blood bank processes blood in four stages: donation, screening, inventory and hospital pickup. This paper aims to address the challenges and issues in the local blood bank through ubiquitous computing, specifically at the blood donation stage. Blood donation is the most critical stage where the blood bank engages directly with the donors. The issues and challenges faced by the blood bank are uncovered by, interviews, field study and literature reviews. The proposed solution takes advantage of the ubiquitous computing concept that enables devices to communicate with each other seamlessly. With the advancement of mobile technology, smartphones become the closest of any devices to achieve ubiquitous computing. Communication technologies like Near Field Communication and Wi-Fi aid the interaction between the user and the system which are expected to solve the challenges and issues of blood donation.

Lookup Table Algorithm for Error Correction in Color Images Ruaa Alaadeen Abdulsattar; Nada Hussein M. Ali
JOIV : International Journal on Informatics Visualization Vol 2, No 2 (2018)
Publisher : Politeknik Negeri Padang

Error correction and error detection techniques are often used in wireless transmission systems. A color image of type BMP is considered as an application of developed lookup table algorithms to detect and correct errors in these images. Decimal Matrix Code (DMC) and Hamming code (HC) techniques were integrated to compose Hybrid Matrix Code (HMC) to maximize the error detection and correction. The results obtained from HMC still have some error not corrected because the redundant bits added by Hamming codes to the data are considered inadequate, and it is suitable when the error rate is low for detection and correction processes. Besides, a Hamming code could not detect large burst error period, in addition, the have same values sometimes which lead to not detect the error and consequently increase the error ratio. The proposed algorithm LUT_CORR is presented to detect and correct errors in color images over noisy channels, the proposed algorithm depends on the parallel Cyclic Redundancy Code (CRC) method that's based on two algorithms: Sarwate and slicing By N algorithms. The LUT-CORR and the aforementioned algorithms were merged to correct errors in color images, the output results correct the corrupted images with a 100 % ratio almost. The above high correction ratio due to some unique values that the LUT-CORR algorithm have. The HMC and the proposed algorithm applied to different BMP images, the obtained results from LUT-CORR are compared to HMC for both Mean Square Error (MSE) and correction ratio. The outcome from the proposed algorithm shows a good performance and has a high correction ratio to retrieve the source BMP image.

Optimization of Digital Image Processing Method to Improve Smoke Opacity Meter Accuracy Dwi Sudarno Putra; Donny Fernandez; - Wagino
JOIV : International Journal on Informatics Visualization Vol 2, No 2 (2018)
Publisher : Politeknik Negeri Padang

One of the parameters of exhaust emission testing on diesel engines is the level of smoke opacity. If the opacity is high then the emission quality is bad. The instrument for measuring smoke opacity is called Smoke Opacity Meter. The commonly used basic concept to measure smoke density is by utilizing a light sensor (optical sensor). Development of Smoke Opacity Meter applies the concept of Digital Image Processing. Even though it has initially begun, the measurement result is yet as perfect as Optical Sensor Concept. Therefore, this paper describes on how to implement the Digital Image Processing Method in processing the smoke opacity video data.

Application of Genetic Algorithm and Personal Informatics in Stock Market Khulood Albeladi; Salha Abdullah
JOIV : International Journal on Informatics Visualization Vol 2, No 2 (2018)
Publisher : Politeknik Negeri Padang

The financial market is extremely attractive since it moves trillion dollars per year. Many investors have been exploring ways to predict future prices by using different types of algorithms that use fundamental analysis and technical analysis. Many professional speculators or amateurs had been analysing the price movement of some financial assets using these algorithms. The use of genetic algorithms, neural networks, genetic programming combined with these tools in an attempt to find a profitable solution is very common. This study presents a prototype that utilizes genetic algorithms (GAs) and personal informatics system (PI) for short-term stock index forecast. The prototype works according to the following steps. Firstly, a collection of input variables is defined through technical data analysis. Secondly, GA is applied to determine an optimal set of input variables for a one-day forecast. The data is gathered from the Saudi Stock Exchange as being the target market. Thirdly, PI is utilised to create a smart environment, which enables visualisation of stock prices. The outcome indicates that this approach of forecasting the stock price is positive. The highest accuracy obtained is 64.67% and the lowest one is 48.06%.

Development of TTS Engine for Indian Accent using Modified HMM Algorithm Sasanko Sekhar Gantayat
JOIV : International Journal on Informatics Visualization Vol 2, No 2 (2018)
Publisher : Politeknik Negeri Padang

A text-to-speech (TTS) system converts normal language text into speech. An intelligent text-to-speech program allows people with visual impairments or reading disabilities, to listen to written works on a home computer. Many computer operating systems and day to day software applications like Adobe Reader have included text-to-speech systems. This paper is presented to show that how HMM can be used as a tool to convert text to speech.

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Contact Name
Rahmat Hidayat

Contact Email
mr.rahmat@gmail.com

Phone
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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