iiDex 2015

On 28 April 2015 and 29 April 2015 i had visited the IIDex 2015 that was held in Dewan Agong Tuanku Cancelor (DATC).

Many of the participant was from Premier Schools and Universities Students and Lecturers. They we also people from the Industry at the exhibition. To my surprise i meet few of my old colleague and University friends there. A very interesting day for me as i love to see all the new innovation invention happening right in front of your door steps. The innovation i see here may one day be a famous tools that will be use by the Mass market. Interesting.

Here are some SYSTEM that i would like to share with my readers. All the System are new and still in the prototype stage. ENJOY :)

1)   MALAY LANGUAGE POLITICAL SENTIMENT ANALYZER

SUMMARY

Malaysia is one of the highest users of the social media globally. The Malaysian online community have been expressing freely to the net on their thoughts over anything that happen around them or even around the country. The political perspectives are also shared on the media social by the members and supporters of the largest component party that is the Barisan Nasional and Pakatan Rakyat.

In the country, Malaysian prefers to express their political thought using multilingual postings over the media social platform. Every single second there will be someone that will tweet or upload a comment through the net to give his opinion over an issue that is directly effecting them or indirectly.   

This big data has never been able to be analyse because all the software on rack currently failed to capture multilingual postings. The sentiment of opinion is left unanalysed. Placing that as a major hindrance, the Malay Language Political Sentiment Analyzer came into place. The system will really benefit those who use it.

The uniqueness and strength of the system is that it can be use by both component parties. A huge market is available for the developer of the system. The system also able to analyse sarcasm comments as Malaysian when they do give out statement, there are at times, brings different meaning over it.

THE OBJECTIVE OF THE SYSTEM

1.    To identify Malay objective and political words based on positive or negative sentiment;

2.    To propose sentiment analysis and political inclination algorithm for Malay postings; and

3.    To develop an analyser that can analyse sentiment of the posting based on Malay adjective and political inclination. 

RECOMMENDATION

As we know, Malaysia is currently vulnerable from being a target for terrorism activities internal and external. By expanding the capabilities of the system to analyse, capture and intercept the codes that is being transfer over the Malaysia network could boost and help the Malaysian Intelligent to prevent the worst case scenario from happening.

2)   I-HOME FINANCING CALCULATOR

SUMMARY

Housing industry in Malaysia is one of the fastest industries progressively expanding from the urban to the rural areas. The prices of houses in prime areas have skyrocket.

Hence, many young executive could not afford to purchase a house of their own. As soon as they graduated from higher education, they are burden with debts. Once they start working, the majority will make a higher purchase loan to buy a car.

This system is developed to give an understanding to the young executive and potential home buyers on how much exactly are they eligible amount of loan that they could apply to buy a house.

Currently, they are many home loan calculators that you could easily download over the internet. What differs the others system than I-HOME FINANCING CALCULATOR is that this system practically consider all other financial commitment of the said person applying from the loan. It could capture and process the monthly income commitments and the occupational sector to indicate the maximum service ratio.

One key added value, is that the system will also list the best 10 banks that offers the lowest interest rate from home buyers.

THE OBJECTIVE OF THE SYSTEM

1.    To educate home buyers on the eligible loan amount they ca apply;

2.    To increase debt literacy among Malaysian;

3.    To reduce potential of non-performing loans (NPLs) in financial institution; and

4.    To reduce Malaysia’s household debt. 

RECOMMENDATION

Since the system is catering from the home buyer, it would be great if the system could link to property websites to suggest on the houses and projects that could be affordable to the respective home owner that is align with the eligible loan that they could apply within the vicinity area that they intended to purchase.

3)   CREDIT

SUMMARY

The World Wide Web has been growing since the day they started. It has grown to be the largest repositories of data and information. Without a proper search engine, user could not seek from information that they intent to find unless they acquire high knowledge in the binary world of Information technology.

Nevertheless, the Web do also contain information that are not correct, false and also misleading information. Users need to figure out whether the data is reliable. How do they figure out on which website would be or would have a more credible rating than the others who provide the same information that they intend to find.

With Credit, the system will give a solution to users where it will corroborate and verify all answers from multiple sources over the net and retrieve answer with the highest accuracy and reliable score. Certainly, the system would be a handy tool for users to seek the information they need. The usefulness of the system is that it would really save up time for research.

THE OBJECTIVE OF THE SYSTEM

1.    To increase accuracy of answer;

2.    To increase reliability of answer; and

3.    Give more weightage to answer taken from credible source.

RECOMMENDATION

It would be good if the system could also provide a link and titles of article and journals that could support the information required. This would really add value to the system since, they are many journal publisher and it will take up extra time to seek for it from other sources.

4)   THE E-RAMAL STOCK PRICE FORECASTER

SUMMARY

KLSE provides many platform for new investor to seek information on the share price of stock that they have and also that they intend to purchase. Many possible theories and software available on the Net that have said could help the new investors to make decision. Yet, many investors have failed to profit from the open market.

The E-Ramal is a system that could forecast the future closing prices of a stock by using geometric  Brownian motion. They are many types of investor, the short term and also the long term investor. The system main goal is to help the short term investor to analyse the potential share price of the stock market.

THE PROBLEM STATEMENT AND OBJECTIVE OF THE SYSTEM

1.    To wrong decision will lead to the loss on capital investment;

2.    More volatile refers to more risk. High risk usually give high return; and

3.    To forecast accurately the future closing prices for the short term investment..

RECOMMENDATION

The system is a guide for short term investor to make a quick profit over their investment. It would be a great advantage to the investors, if the system could provide information on extra investment opportunities that could help the investor portfolio.