Acta Informatica Malaysia (AIM)

FACE RECOGNITION BY USING NEURAL NETWORK

TOURISM OBJECT MAPPING BASED ON GEOGRAPHIC INFORMATION SYSTEM IN BATURRADEN DISTRICT, REGENCY OF BANYUMAS

ABSTRACT

 

TOURISM OBJECT MAPPING BASED ON GEOGRAPHIC INFORMATION SYSTEM IN BATURRADEN DISTRICT, REGENCY OF BANYUMAS

Journal: Acta Informatica Malaysia (AIM)
Author: Dhi Bramasta, Dedy Irawan

This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited

Doi:10.26480/aim.02.2019.14.18

This study aimed distribution pattern attraction Attraction and knowing what is in the district of Banyumas Baturraden. Descriptive qualitative research method with a spatial approach. The research subjects Baturraden attractions in the District of Banyumas. Data collection techniques by observation, GIS (Geographic Information System), documentation. Data analysis with interactive analysis from data collection, GIS, data reduction, data presentation, conclusion. The results showed the distribution pattern of the District Baturraden attractions clustered / grouped follow the flow of the river. Because Baturraden area has many rivers including the River Pelus, turncoat River, River Banjaran, Bendo River. While water has the power erosion (erosion) is high to what is skipped. Accompanied by geological processes that occur during the next flowing river forming a waterfall. Elevation also has influence on the existence of a waterfall. Because waterfall is water body that falls from tthe rocky cliff to a plunge pool below. This happens as the essence of water movement is to move from a high place to a lower place. Baturraden is an area on the slopes of Mount Slamet, which is plateau, so undoubtedly Baturraden District has many waterfalls as well as other tourism objects in the area. There are 35 tourism objects in Baturraden Subdistrct with two types of tourism, namely 33 natural attractions of waterfalls and 2 educational attractions that exhibit various extra ordinary landscapes and educational theme parks that combine art, education and recretion.

Pages 14-18
Year 2019
Issue 2
Volume 3

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DIGITAL LITERACY IN THE ENGLISH CURRICULUM: MODELS OF LEARNING ACTIVITIES

ABSTRACT

 

DIGITAL LITERACY IN THE ENGLISH CURRICULUM: MODELS OF LEARNING ACTIVITIES

Journal: Acta Informatica Malaysia (AIM)
Author: Banatul Murtafi’ah, Nur Hidayanto Pancoro Setyo Putro

This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited

Doi:10.26480/aim.02.2019.10.13

In this era of information, communication, and technology, digital literacy is a must for the internet users including students. Digital literacy means the abilities to both select information on the internet and is aware of online safety. Despite the concerns about digital literacy, there is a paucity in the curriculum which does not state it as a learning goal. Therefore, this paper attempts to propose two models of learning activities to promote teaching digital literacy in an English classroom. After referring to several theories related to digital literacy and text types stated in Indonesian recently used curriculum, two models for teaching English at a senior high school level that promote digital literacy teaching are offered. The models comprise approaches to teach digital literacy, grades, text types, objectives, steps of learning activities, and assessments to assess students’ learning.

Pages 10-13
Year 2019
Issue 2
Volume 3

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FACE RECOGNITION BY USING NEURAL NETWORK

ABSTRACT

 

FACE RECOGNITION BY USING NEURAL NETWORK

Journal: Acta Informatica Malaysia (AIM)
Author: Somya Rastogi, Shivani Choudhary

This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited

Doi:10.26480/aim.02.2019.07.09

Now a day’s security is a big issue, the whole world has been working on the face recognition techniques as face is used for the extraction of facial features. An analysis has been done of the commonly used face recognition techniques. This paper presents a system for the recognition of face for identification and verification purposes by using Principal Component Analysis (PCA) with Back Propagation Neural Networks (BPNN) and the implementation of face recognition system is done by using neural network. The use of neural network is to produce an output pattern from input pattern. This system for facial recognition is implemented in MATLAB using neural networks toolbox. Back propagation Neural Network is multi-layered network in which weights are fixed but adjustment of weights can be done on the basis of sigmoidal function. This algorithm is a learning algorithm to train input and output data set. It also calculates how the error changes when weights are increased or decreased. This paper consists of background and future perspective of face recognition techniques and how these techniques can be improved.

Pages 07-09
Year 2019
Issue 2
Volume 3

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RFID TECHNOLOGY WORKING IT’S APPLICATIONS AND RESEARCH CHALLENGES

ABSTRACT

 

RFID TECHNOLOGY WORKING IT’S APPLICATIONS AND RESEARCH CHALLENGES

Journal: Acta Informatica Malaysia (AIM)
Author: Sheeza Ishtiaq, Ahthasham Sajid, Raja Asif Wagan

This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited

Doi:10.26480/aim.02.2019.05.06

Radio Frequency Identification is a technology which falls in the category of automatic identification technologies. RFID is used to identify objects using radio waves. This technology is one of the widest used technologies in the world; almost every organization on some stage uses RFID based identification, tracking, etc. RFID basically needs two major devices to work, the reader and the tag. In this paper further detail working of RFID technology its components with real-life application belonging from the field of environment, water, etc. has been discussed. Research issues belonging from technological problems existing in RFID technology also highlighted in this research paper on the basis of which research can be conducted to overcome those key challenges.

Pages 05-06
Year 2019
Issue 2
Volume 3

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STUDY OF WEB PAGE RANKING ALGORITHMS: A REVIEW

ABSTRACT

 

STUDY OF WEB PAGE RANKING ALGORITHMS: A REVIEW

Journal: Acta Informatica Malaysia (AIM)
Author: Aditi Chowdhary, Arvind Kumar

This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited

Doi:10.26480/aim.02.2019.01.04

Due to expanding of Web, the Information is also increasing day by day. Many users generally rely on search engine to explore the web. It is a challenge for search engine to provide relevant web page and quality information against the query submitted. This paper deals in the comparative study of various web page ranking algorithms and also its advantages and disadvantages. This paper helps to find out web page ranking algorithms’ relative strength and limitations for further research scope.

Pages 01-04
Year 2019
Issue 2
Volume 3

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RECOGNIZING THE PERSONAL COMPETENCIES OF FUTURE INFORMATION PROFESSIONALS

ABSTRACT

 

RECOGNIZING THE PERSONAL COMPETENCIES OF FUTURE INFORMATION PROFESSIONALS

Journal: Acta Informatica Malaysia (AIM)
Author: Norhidayu Md Yatim, Nurhidayah Nasharudin, Noor Faraliza Samsudin, Salasiah M Said, Nor Farmiza Tarsik

This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited

Doi:10.26480/aim.01.2019.21.23

Information agency basic responsibility focuses on the creation, acquisition, organisation, storage, dissemination and maintenance of information in whatever format, printed or digital. They required all related knowledge and skills to perform their roles in this emerging world of technology. Personal competencies are essential skills requirement seek by employer in selecting their employees. Personal competencies of students are considered greatly important for the effectiveness of learning process. It is also important skills for students to acquire for their future career. This concept paper aims to investigate the personal competencies of future information professionals. The nine (9) domains of personal competencies (critical thinking, interaction skills, relationships skills, leadership skills, presentation skills, media literacy skills, and written skills) in this paper was determined based on the selected literature on communication and personal competencies. This paper would bring benefit to all future information professional as it can view future graduate preparedness to enter the industry.

Pages 21-23
Year 2019
Issue 1
Volume 3

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TRANSFORMING PUBLIC LIBRARIES INTO DIGITAL KNOWLEDGE DISSEMINATION CENTRE IN SUPPORTING LIFELONG BLENDED LEARNING PROGRAMMES FOR RURAL YOUTHS

ABSTRACT

 

TRANSFORMING PUBLIC LIBRARIES INTO DIGITAL KNOWLEDGE DISSEMINATION CENTRE IN SUPPORTING LIFELONG BLENDED LEARNING PROGRAMMES FOR RURAL YOUTHS

Journal: Acta Informatica Malaysia (AIM)
Author: Alizah Ali, Tan Luck Lee, Ng Khar Thoe, Noraini Ismail, Siti Zarikh Sofiah Abu Bakar

This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited

Doi:10.26480/aim.01.2019.16.20

This research aims to examine how commissioning, transforming and maximum utilization of the digital technology infrastructure in public libraries through blended mode digital education platform could support open and distance lifelong learning in upgrading knowledge, livelihood and human capital for the constant improvement and upgrading of knowledge/skills among village youths. Mixed-method research design was implemented including administration of survey, interviews and observation. The five dimensions of enhancing the innovative open and distance digital platform to support a blended-mode dissemination of knowledge were examined, including demographic, digital technology availability, Open Education Resources in public libraries, learning culture and corporate support. Findings show that there are significant differences among factors stated above which will upgrade the potential of village youths technical and livelihood knowledge to be relevant and competitive in building human capital. The use of a blended digital education platform in public libraries could be beneficial to village folks in upgrading their knowledge and skills. This model could be used as framework of practice for enhancement of life skills among developing nations as well as under-developed countries in line with SEAMEO’s Education Agenda to promote lifelong learning and 21st century skills. If such technology-enhanced skills development programme could be implemented from earlier stages in educational settings in line with Sustainable Development Goals (SDGs) and Malaysian Education Blueprint, more skilled workers could be produced to raise the performance in the workplace and contribute to the worldwide improvement of human capital. Legal and policy issues on digital facilities will be discussed as to advocate lawful and ethical application of this initiative. Future direction of studies to develop a comprehensive structural model will also be deliberated.

Pages 16-20
Year 2019
Issue 1
Volume 3

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A STUDY OF VEIN RECOGNITION SYSTEM

ABSTRACT

 

A STUDY OF VEIN RECOGNITION SYSTEM

Journal: Acta Informatica Malaysia (AIM)
Author: Tarshi Jain, Rajendra Kumar

This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited

Doi:10.26480/aim.01.2019.13.15

The vein recognition is the most accurate and secure technology in the field of biometrics. We have seen that many criminal cases like risk of forgery or theft. All biometric traits have their own advantages and disadvantages. Like in long term, a person’s fingerprint may be damaged due to environment, aging or ethnicity; face recognition has medium accuracy; iris recognition is costly affair. To overcome all the problems, the solution is vein recognition. The most important point about vein recognition system is that it works on living persons only as the infrared radiation is absorbed by hemoglobin present in blood of living persons. The skin integrity does not affect the accuracy or readability of finger vein recognition. There are lots of benefits to include vein recognition in biometric traits in which some are, users are not required to get in physical contact with the device. This technology can also be used for medical purposes like children that are below the age of 12 have very smooth vein which sometime ca nnot be detected by doctors to inject injection which can be detected by NIR cameras. In this paper we have presented the various techniques of palm vein recognition that are applied in today’s scenario, Need and Scope of vein recognition system, its implementation challenges, its application, Merit and Demerit and finally conclusion.

Pages 13-15
Year 2019
Issue 1
Volume 3

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WEBOMETRICS ANALYSIS OF IRANIAN UNIVERSITIES ABOUT MEDICAL SCIENCES’ WEBSITES BETWEEN SEPTEMBER 2016 AND MARCH 2017

ABSTRACT

 

WEBOMETRICS ANALYSIS OF IRANIAN UNIVERSITIES ABOUT MEDICAL SCIENCES’ WEBSITES BETWEEN SEPTEMBER 2016 AND MARCH 2017

Journal: Acta Informatica Malaysia (AIM)
Author: Meisam Dastani, Somayeh Panahi, Masoumeh Sattari

This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited

Doi:10.26480/aim.01.2019.07.12

This study aimed to analyze the websites’ ranks on Iranian Medical Sciences Universities in the period of 11 September 2016 to 1March 2017. It was performed on Webometrics method which contains 41 Websites of Iranian Medical Sciences Universities. For instance, Moz, Google, Google Scholar and so on. University of Shiraz’s website topped the table. Tehran, Shahid Beheshti and Bandar Abbas Universities’ websites followed Shiraz in order. Meanwhile, Kerman University of Medical Sciences, North Khorasan, Bushehr and Urmia experienced the highest increase on Home contents, scientific resources, input links and rich files. First-rank universities, as well as universities with the highest growth, all owns what a good website should have the basic contents and beyond. In one word, the results of this study showed that except a limited number of universities possess high-quality website, others have weak effect.

Pages 07-12
Year 2019
Issue 1
Volume 3

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A COMPARATIVE STUDY OF CROWD COUNTING AND PROFILING THROUGH VISUAL AND NON-VISUAL SENSORS

ABSTRACT

 

A COMPARATIVE STUDY OF CROWD COUNTING AND PROFILING THROUGH VISUAL AND NON-VISUAL SENSORS

Journal: Acta Informatica Malaysia (AIM)
Author: Jugal Kishor Gupta, S.K. Gupta

This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited

Doi:10.26480/aim.01.2019.04.06

In this paper we present a comparative critical study of visual and non-visual sensors used in crowd behavior analysis. The understanding of crowd has main impact of the analysis how much they support the system is the key factor of the analysis. The surveillance and security prospects are the main feature for crowd that can make system easy and gives better result. The visual sensors that have been widely used are wireless sensor network, computer vision, smart camera, sensor fusion and few more; and the non-visual sensors are regarding the call, IEEE 802, 11 signals measurement, Smart Evactrack, Social Network and Bluetooth etc. This comparative study identified the different analysis of crowd behavior and after analysis we show which technique is better to another one. The smart devices are used now days for surveillance and gives better result in crowd behavior analysis.

Pages 04-06
Year 2019
Issue 1
Volume 3

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