Bank Permata spent U.S. $ 15 Million for IT

Jakarta - PT Bank Permata Tbk allocates it’s capital expenditures for the development of information technology (IT) in 2009 of $ 15 million.

"Our IT Expenditure this year is not different from the last year, such as $ 15 million," said Director of IT & Operations Bank Permata J. Giorgino Godong, after demo PonselPay in Permata Building, Jakarta, Thursday (14/5/2009).

He breaks down, the composition of the largest IT spending of funds intended for the procurement of machinery and devices such as servers, computers, including software (software). It’s remain spent for component of communication include telephone and internet as well as the procurement of automatic teller machines (ATM).

He also explained, for given period, computer as one of the main device for their services is also improved it’s capacity.

Currently, the number of permata’s customers is about one million accounts. According Georgino, 300,000 of them actively using mobile banking services with the number of transactions up to 300,000 traffic times.

He also estimates, the number of permata’s users on mobile banking will continues increase as fast as the increasing of the ease of transaction and efficiency of the time of transaction that if it is done by it.

Bank Permata has a number of 549 ATM units and the number of branch offices reached 277 offices in 55 cities. While the ATM network of cooperation with the national banking sector reached 17,000 ATMs. (Rou / faw)

IT Internship Program for SMEs

Jakarta - the financial crisis makes small medium business (SMEs) strict the budget for technology information(IT). Therefore they are very happy with the IT internship program.

The Internship program titled Industry Attachment Program (IAP) was initiated by Senada and Cisco. In Jakarta, a number of students from the University of Bina Nusantara (BiNus) get internship opportunities in a number of SMEs.

the SMEs also seem happy with this program. For example Multichem Indojasa Artaprima PT, a firm metal services penyepuhan, says that they doesn’t know how to manage their limited IT budget.

"Maybe later, if students have internships in our firm, we can manage our budget IT and spend it well. Exactly, we do not know about what IT products that we need," said Ula Fauzi, Director of Marketing Multichem Indojasa Artaprima the told to detikINET on the sidelines of the event conference kick-off in the IAP Campus BiNus Syahdan, Jakarta, Tuesday (23/12/2008).

Ula also confess, that their company is in the domino effect of the crisis that is happening at this time. The decline in orders from customers to reach 20 percent.

By this internship program,Ula said, the company is to be able to operate well. "The Students of the program can help us help us to create a company database, and payroll, and network internal.

Senior Advisor ICT Industry Farid Maruf also says that SMEs need to be encouraged to optimize the utilization of IT that can support their business activities. Meanwhile, for students, Farid hope they can replicate the program in the future.
(Wsh / wsh)

'70% IT expenditure in firm just for maintenance

Jakarta – A research by VMWare’s (a virtualization technology solutions company)shows, 70% of technology information budget expenditure was spent only for treatment (maintenance).

"it is right. More than 70% of the company out of money just to ensure that IT systems run well," said Regional Director, ASEAN MWare, Koh Eng Kheng, in a press meet in Interkontinental Hotel, Jakarta, Thursday (14/5/2009).

He breaks down, 70% of the cost includes the cost of application maintenance (30%) and maintenance for infrastructure (42%). While the rest, 23% for new investment applications and 5% for infrastructure investment.

In the middle of a crisis situation such as this, IT got clear challenges. Especially in the budget is not increased but the demand to maximize the company's IT business as a means of supporting the more increased.

"That's why we offer a virtualization solution as a way out. With virtualization solutions, and the operational budget can be pressed up to 50% without reducing the features and functions of IT is required," continued Koh Eng Kheng.

VMWare just released its own new operating system virtualization product VShpere 4. This solution is considered effective to build a “cloud computing” computing system that is affordable, even for middle-class companies (SMEs).

Koh Eng Kheng rate virtual computing solutions market in Indonesia is still high potensial. Quote from Gartner research, virtual absorption of the solution in the industry market is estimated to touch a new number 15%.
(Rou / faw)

Facebook History

History
http://en.wikipedia.org/wiki/FaceBook

The advent of Facebook came about as a spin-off of a Harvard University version of Hot or Not called Facemash.[9] Mark Zuckerberg, while attending Harvard as a sophomore, concocted Facemash on October 28, 2003. Zuckerberg was blogging about a girl and trying to think of something to do to get her off his mind.[10]


The Facebook on February 12, 2004According to The Harvard Crimson, Facemash "used photos compiled from the online facebooks of nine Houses, placing two next to each other at a time and asking users to choose the “hotter” person." To accomplish this, Zuckerberg hacked into the protected areas of Harvard's computer network and copied the house's private dormitory ID images. "Perhaps Harvard will squelch it for legal reasons without realizing its value as a venture that could possibly be expanded to other schools (maybe even ones with good-looking people ... )," Zuckerberg wrote in his personal blog. "But one thing is certain, and it’s that I’m a jerk for making this site. Oh well. Someone had to do it eventually ... "[11] The site was quickly forwarded to several campus group list-servers but was shut down a few days later by the Harvard administration. Zuckerberg was charged by the administration with breach of security, violating copyrights and violating individual privacy and faced expulsion, but ultimately the charges were dropped.[12] The following semester, Zuckerberg founded "The Facebook", originally located at thefacebook.com, on February 4, 2004.[13] “Everyone’s been talking a lot about a universal face book within Harvard,” Zuckerberg told The Harvard Crimson. “I think it’s kind of silly that it would take the University a couple of years to get around to it. I can do it better than they can, and I can do it in a week.”[14] Membership was initially restricted to students of Harvard College, and within the first month, more than half the undergraduate population at Harvard was registered on the service.[15] Eduardo Saverin (business aspects), Dustin Moskovitz (programmer), Andrew McCollum (graphic artist), and Chris Hughes soon joined Zuckerberg to help promote the website. In March 2004, Facebook expanded to Stanford, Columbia, and Yale.[16] This expansion continued when it opened to all Ivy League and Boston area schools, and gradually most universities in Canada and the United States.[17] In June 2004, Facebook moved its base of operations to Palo Alto, California.[16] The company dropped The from its name after purchasing the domain name facebook.com in 2005 for $200,000.[18] Facebook launched a high school version in September 2005, which Zuckerberg called the next logical step.[19] At that time, high school networks required an invitation to join.[20] Facebook later expanded membership eligibility to employees of several companies, including Apple Inc. and Microsoft.[21] Facebook was then opened on September 26, 2006 to everyone of ages 13 and older with a valid e-mail address.[22][23] In October 2008, Facebook announced that it was to set up its international headquarters in Dublin, Ireland.[24]

UNCOVERING THE INTELLECTUAL CORE OF THE INFORMATION SYSTEMS DISCIPLINE

By Anna Sidorova, Nicholas Evangelopoulos,Joseph S. Valacich, Thiagarajan Ramakrishnan (MIS Quarterly,2008)


This study uses latent semantic analysis to examine a
large body of published IS research in order to address this
question. Specifically, the abstracts of all research papers
over the time period from 1985 through 2006 published in
three top IS research journals—MIS Quarterly, Information
Systems Research, and Journal of Management Information
Systems—were analyzed. This analysis identified five core
research areas: (1) information technology and organizations;
(2) IS development; (3) IT and individuals; (4) IT and
markets; and (5) IT and groups. Over the time frame of our
analysis, these core topics have remained quite stable.
However, the specific research themes within each core area
have evolved significantly, reflecting research that has
focused less on technology development and more on the
social context in which information technologies are designed
and used. As such, this analysis demonstrates that the
information systems academic discipline has maintained a
relatively stable research identity that focuses on how IT
systems are developed and how individuals, groups,
organizations, and markets interact with IT.

Meta Analysis

Meta-Analysis of Correlations
By. Dr. Andy Field

Meta analysis is a statistical technique by which information from independent studies is assimilated. Traditionally, social science literatures were assimilated through discursive reviews. However, such reviews are subjective and prone to reviewer-biases such as the selective inclusion studies, selective weighting of certain studies, and misrepresentation of findings (see Wolf, 1986). The inability of the human mind to provide accurate, unbiased, reliable and valid summaries of research created the need to develop more objective methods. Meta-analysis arguably provides the first step to such objectivity (see Schmidt, 1992), although it too relies on subjective judgments regarding study inclusion (and so is still problematic because of biased selections of studies, and the omission of unpublished data-the file drawer problem). since the seminal contributions of glass (1976), Hedges and Olkin (1985), Rosenthal and Rubin (1978) and Hunter, Schmidt and Jackson (1982) there has been a meteoric increase in the use of meta analysis. Field (2001) reports that over 2200 published articles using or discussing meta-analysis were published between 1981 and 2000. of these, over 1400 have been published since 1995 and over 400 in the past year. Clearly, the use of meta-analysis is still accelerating.

Basic Principles

To summarise, an effect-size refers to the magnitude of effect observed in a study, be that the size of a relationship between variables or the degree of difference between group means. There are many different metrics that can be used to measure effect size: the Person product moment correlation coefficient, r; the effect-size index, d; as well as odds ratios, risk rates, and risk differences. of these the correlation coefficient is used most often (Law, Schmidt, & Hunter, 1994) and so is the focus of this study. Although various theorists have proposed variations on these metrics (for example, Galss's delta, cohen's d, and Hedges's g are all estimates of Thou), conceptually each metric represents the same thing: a standardized from of the size of the observed effect. Whether correlation coefficients or measures of differences are calculated is irrelevant because either metric can be converted into the other, and statistical analysis procedures for different metrics differ only in how the standard errors and bias correlations are calculated (Hedges, 1992).

In meta-analysis, the basic principle is to calculate effect sizes for individual studies, convert them to a common metric, and then combine them to obtain an average effect size. Studies in a meta-analysis are typically weighted by the accuracy of the effect size they provide (i.e. the sampling precision), which is achieved by using the sample size (or a function of it) as a weight. Once the mean effect size has been calculated it can be expressed in terms of standard normal deviations ( a Z score) by dividing by the standard error of the mean. A significance value (i.e. the probability, p, of obtaining a Z score of such magnitude by chance) can then be computed. Alternatively, the significance of the evarage effect size can be inferred from the boundaries of a confidence interval constructed around the mean effect size.

Johnson, Mullen and Salas (1995) point out that meta-analysis is typically used to address three general issues: central tendency, variability and prediction. Central tendency relates to the need to find the expected maginitude of effect across many studies (from which the population effect size can be inferred). this need is met by using some variation on the average effect size, the sinificance of the this average or the confidence interval around the average. The issue of variability pertains to difference between effect sizes acrosss studies and is generally adressed using tests of the homogenity of effect sizes. The question of prediction relates to the need to explain the variability in effect size across studies in terms of moderator variables. This issue is usually addressed by comparing study outcomes as a function of differences in characteristics that vary over all studies. As an example, differences in effect sizes could be moderated by the fact that some studies were carried out in the USA whereas others were conducted in the UK.

My GIS Project

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