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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 1,172 Documents

8 9 10 11 12

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 : Society of Visual Informatics

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.

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.

Artificial Neural Network Application for Aroma Monitoring on The Coffe Beans Blending Process Susanti Roza; Zas Ressy Aidha; Milda Yuliza; - Suryadi; Surfa Yondri
JOIV : International Journal on Informatics Visualization Vol 2, No 3 (2018)
Publisher : Politeknik Negeri Padang

This study aims to identify the type of coffee powder aroma from the coffee beans blending using backpropagation artificial neural network (ANN). Backpropagation is a controlled training implementing a weight adjustment pattern to achieve a minimum error value between the the predicted and the actual output. Within this study, the coffee aroma testing utilized electronic tasting sensor system consisted of 4 sensors namely TGS 2611, TGS 2620, TGS 2610 and TGS 2602. The coffee aroma monitoring and data collection in this system applied LabVIEW software as a virtual instrumentation. The testing result of this ANN was able to distinguish the coffee variety of Robusta, Arabica coffee powder and the one without any coffee aroma. The backpropagation architecture was formed by 3 layers consisting of 1 input layer with 4 input nerve cells, 1 hidden layer with 8 neural cells, and 2 output layers by applying the backpropagation training algorithm. The training data was taken from 70 data samples of each circumstance of coffee with 5 testing times. The results of the training and testing showed that the established backpropagation was capable to identify and differenciate the coffee powder in accordance with the given input with different average success rate; 91.96% for Robusta coffee, 100 % for Arabica coffee, and no 84.24% for without coffee aroma.

Salt and Pepper Noise: Effects and Removal Jamil Azzeh; Bilal Zahran; Ziad Alqadi
JOIV : International Journal on Informatics Visualization Vol 2, No 4 (2018)
Publisher : Society of Visual Informatics

Noises degrade image quality which causes information losing and unsatisfying visual effects. Salt and Pepper noise is one of the most popular noises that affect image quality. In RGB color image Salt and pepper noise changes the number of occurrences of colors combination depending on the noise ratio. Many methods have been proposed to eliminate Salt and Pepper noise from color image with minimum loss of information. In this paper we will investigate the effects of adding salt and pepper noise to RGB color image, the experimental noise ratio will be calculated and the color combination with maximum and minimum numbers of occurrence will be calculated and detected in RGB color image. In addition this paper proposed a methodology of salt and pepper noise elimination for color images using median filter providing the reconstruction of an image in order to accept result with minimum loss of information. The proposed methodology is to be implemented, tested and experimental results will be analyzed using the calculated values of RMSE and PSNR.

A Review of ICT Applications in Construction Ehab J. Adwan; Ali Al-Soufi
JOIV : International Journal on Informatics Visualization Vol 2, No 4 (2018)
Publisher : Society of Visual Informatics

In this review paper we compiled and demonstrated the trends and patterns of the research published on ICT Applications in the construction industry over the past two decades (1996-2016), through employing a five phases profiling methodology which generated an acceptable set of 68 out of 202 articles and papers indexed by Elsevierâ€™s Scopus database. This paper reviews the utmost academic ICT applications and proposals/ initiatives in the construction industry taking an advantage of a previously generated research journal on ICT Technologies and Construction Tasks. A resulting classification of 11 categories of ICT Applications as appeared in literature along with their corresponding authors and dates was provided and discussed.Â

NComputing Adoption: Issues and Challenges Esmael V. Maliberan
JOIV : International Journal on Informatics Visualization Vol 2, No 4 (2018)
Publisher : Politeknik Negeri Padang

NComputing Technology is becoming increasingly important and is being used both in academe and business industry because of its capability of saving energy and maintenance costs. However, the adoption of this technology faces with concerns particularly in end users experiences. The paper aimed to examine the collection of some of the issues and challenges facing the NComputing technology adoption in academe particularly in Surigao del Sur State University and offered an initial roadmap to view the challenges and problems for further research. Findings revealed that most of the students were not satisfied with the performance of this technology. But, for technical support, they found it easy to maintain and troubleshoot.

Developing Research Questions in Natural Language Processing and Software Engineering Nakul Sharma; Prasanth Yalla
JOIV : International Journal on Informatics Visualization Vol 2, No 4 (2018)
Publisher : Society of Visual Informatics

This paper endeavors toÂ Â develop newer medium of Â developing research questions by keeping in view both fields of SE and NLP in proper perspectives. An overview of the current state of art research in SE and NLP is presented. This is done by referring to the SE Body of Knowledge (SEBOK). Analogues to SEBOK, there are no separate Body of Knowledge available for the NLP/Computational Linguistics (CL). Hence whatever falls within the category of NLP/CL was considered in framing the research categories from the NLP/CL side. The paper concludes with future scope of the research presented.

Development of A Decision Support System on Employee Performance Appraisal using AHP Model Stephen Gbenga Fashoto; Onyebuchi Amaonwu; Adenrenle Afolorunsho
JOIV : International Journal on Informatics Visualization Vol 2, No 4 (2018)
Publisher : Society of Visual Informatics

Many employeesâ€™ performance appraisal systems lack business standard irrespective of the organization. Performance appraisal system differs depending on the type of work and job description in an organization. Most organizations lack scientific technique for rating their employeeâ€™s performances. In this case, a decision support system will help organizations to have a standardize way of performance appraisal and make the appraisal process transparent, fair and just. Analytical Hierarchy Process (AHP) was used in this paper to evaluate employees performances based on five criteria: personal skills, initiatives, teaching quality, method of teaching and research in which case each of the criteria was divided into sub-criteria; and by applying the Decision Support software for evaluating employees performance in line with the individual objectives required to meet the overall organizational mission. The result obtained showed that the consistency ratio (CR) of the five criteria is C.R = 0.0976 which showed that there is consistency in all the criteria in appraising the performance of an academic staff in Kampala International University (KIU) except research. Therefore, personal skills, initiatives, teaching quality and method of teaching are consistent and valid factors while research has not been consistent in appraising an academic staff in KIU despite the weight (47%) attached to it.

The Factors Influencing Intention to Study Via Online Education: The Case Study of People In Bangkok, Thailand Dinesh Elango; Rawin Vongurai; Kirana Srifah
JOIV : International Journal on Informatics Visualization Vol 2, No 4 (2018)
Publisher : Society of Visual Informatics

Recently, online education or online learning is an interest in Thailand and some of Thai people study via the internet, noticed that in Thailand not only some universities provide online education such as Massive Open Online Courses, called MOOCs, but various schools and institutions provide online learning for their students as well.Online education provides an opportunity to improve people at the lower cost via computer technology, which is beneficial to developing countries.Thailand is still a developing country and online education is likely to be a new trend in Thailand because it reduces costs and enhances the quality of education.Consequently, this research analyzes influencing factors which have an impact on usage intention of online education. This research aims to study various factors, which are able to be improved for usage intention of online education in Bangkok, Thailand, in the future. Based on the conceptual framework in this research, it consists of social influence, information quality, system quality, function quality as key factors of usage intention.The research applied many methods such as Single Linear Regression and Multiple Linear Regression to analyze all hypotheses with 441 respondents who live in Bangkok, Thailand,and use online education.This paper addresses the effects of information quality, system quality, function quality, and social quality influencing toward usage intention of online education. Besides, social quality not only affects usage intention but also has an impact on other factors which information quality, system quality, and function quality.

Toward a Hybrid Recommender System for E-learning Personnalization Based on Data Mining Techniques Outmane Bourkoukou; Essaid El Bachari
JOIV : International Journal on Informatics Visualization Vol 2, No 4 (2018)
Publisher : Society of Visual Informatics

Personalized courseware authoring based on recommender system, which is the process of automatic learning objects selecting and sequencing, is recognized as one of the most interesting research field in intelligent web-based education. Since the learnerâ€™s profile of each learner is different from one to another, we must fit learning to the different needs of learners. In fact from the knowledge of the learnerâ€™s profile, it is easier to recommend a suitable set of learning objects to enhance the learning process. In this paper we describe a new adaptive learning system-LearnFitII, which can automatically adapt to the dynamic preferences of learners. This system recognizes different patterns of learning style and learnersâ€™ habits through testing the psychological model of learners and mining their server logs. Firstly, the device proposed a personalized learning scenario to deal with the cold start problem by using the Felder and Silvermanâ€™s model. Next, it analyzes the habits and the preferences of the learners through mining the information about learnersâ€™ actions and interactions. Finally, the learning scenario is revisited and updated using hybrid recommender system based on K-Nearest Neighbors and association rule mining algorithms. The results of the system tested in real environments show that considering the learnerâ€™s preferences increases learning quality and satisfies the learner.

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Editorial Team

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Reviewer

Google Scholar

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