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Design Of Expert System of The Republic Indonesia"s Law Number 8 Year 1999 Concerning Consumer Protection Using Mobile Application - Repository Widya Kartika

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International Conference on Vocational Education and Electrical Engineering (ICVEE) 2015

153

Design of Expert System of The Republic Indonesia‘s Law Number 8 Year 1999 Concerning Consumer Protection Using

Mobile Application

Sendra Darmawan

1

, Robby Kurniawan Budhi

2

, Dwi Taufik Hidayat

3 Universitas Widya Kartika

Jalan Sutorejo Prima Utara II/1 Surabaya

[email protected]1, [email protected]2, [email protected]3

In the globalization and free trade era nowadays, can trigger the emergence of various products and services that marketable to consumers. The consumers usually easy receptive when there is something detrimental happened even it caused by the sellers themself. Afterwards, this will make the increase of fraudulence things which make consumers loss. The government as policymaker, realize that needs a law and rules in every sectors which is relate to the transfer of products and services from sellers to consumers. Although Law Number 8 Year 1999 already established as the reinforcing law in field of consumer protection, however the awareness level of citizen’s rights as consumers still low. Law consultant who is an expert in interpreting laws and rules, is the right person to be ‘bridge’ between consumer protection’s law and citizens as consumers.

Knowledges and skills that belong to law consultant could be adopted inside a system, which is expert system. The method used to identify the violations of law article which is conducted by sellers, is certainty factor that be used by give questions for each criterias along with give the score for each questions which is obtained from the expert. All of the scores would be solved using the certainty factor formula. With the design of expert system of consumer protection’s law based on mobile application, it will make consumer understand their rights as a consumer. The result of this research is a mobile application that can help consumer having more comprehension about their own rights. And also, it made consumers having more selfconfidence to make a protest against the sellers if something detrimental happens and it is because the consumers already knew the legal basis.

Keywords : Consumer Protection, Law Number 8 Year 1999, Expert System, Certainty Factor

I. INTRODUCTION

The development of economy could be measure from the increase of commercial and industry, which give the incredible pleasure for consumer because there are a lot of product variations. In one side, that

condition could give benefit for consumer because consumer's needs of goods/services could be fulfilled. But in the other side, that condition could make the position of seller and consumer

become unbalance and consumer will be in weak position. To be realized, best part of consumers in Indonesia tend to accept any condition of their goods/services. That caused a lot of rotten sellers try to get more profit using any way to achive it and have no care about consumer's rights or safety.

The government as policymaker, realize that needs a law and rules in every sectors which is relate to the transfer of products and services from sellers to consumers. The purely purpose is to protect consumer and increase their status and awareness and undirectly to push sellers become more responsible in running their business. Consumer must realize one thing that they have rights which is protected by consumer protection's law. So consumer can also make social control toward the sellers' business and government. With Law Number 8 Year 1999 concerning Consumer Protection hopeable the efforts of protecting consumer in Indonesia could be more catch attention.

Although Law Number 8 Year 1999[1] already established as the reinforcing law in field of consumer protection, however the awareness level of citizen‘s rights as consumers still low. This is especially caused by the level of consumer's education is low.

So only little number of people understand the content of consumer protection's law considering the complexion of predicative as well as the rules.

The lack of knowledge about consumer's rights make people become irresponsive and impact to the appearance of many fraudulent and violation that had been around consumer. Therefore need a way to make consumer who are best part of ordinary

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International Conference on Vocational Education and Electrical Engineering (ICVEE) 2015

154 people, understand the rights belong to

consumer. Law consultant who is an expert in interpreting laws and rules, is the perfect man to be 'bridge' between consumer protection's law and people as consumer.

Knowledges and skills that belong to law consultant could be adopt into a system, expert system[2]. But remember that not all consumer familiar with the world of informatics technology, so needs a way to make the expert system into a simple form and easy to access.

This expert system will use certainty factor method to build it. This method will give score from the user's answer. The score from user and from expert will combine use probability and produce some final score[3].

This system is based on mobile applications.

With the trend of technology especially mobile gadget make people become more familiar so it can increase its user, particularly the user of android mobile gadget.

The using of mobile gadget not only for communication but also as an efficient and quick informative device. With that excess, the design of expert system into mobile android application will be a wise option.

II. METHOD A. Research Steps

This implementation step contains an explanation of each steps used in expert system Law Number 8 Year 1999 based mobile applications, which are:

1. Datas Collection

Conduct direct surveys by interviewing a lawyer and literature studies to gather information about the ins and outs of the rules in Law Number 8 Year 1999.

2. Problem Analysis

Analysis of the articles and other rules in the Consumer Protection‘s Law, then determine the problem which is the lack of public understanding of their rights as consumers.

After that define the needs of expert system to be applied to the application.

3. System Design

From the needs then we made the system design to adopt a 'law consultant' related to Law Number 8 Year 1999 concerning Consumer Protection. Where the design will help to plan and create the application.

4. The Making of Application

From the formulation of the problem, there is need to create applications that can help people in providing information about their rights, duties, violations, and sanctions related to consumer protection which is contained in Law Number 8 Year 1999. The Android Mobile Application are made through the

Eclipse Android Developer Tools and storage of datas related to Consumer Protection‘s Law is using MySQL.

5. Implementation

After complete making the application, the implementation is done using the Android Smartphone to run the application and see whether the application in accordance with the original purpose.

6. Evaluation

Measurement of suitability with the purpose is done by distributing questionnaires before and after the user uses the application. Then process the questionnaire in the form of statistical data with intention of easily comparison.

7. Preparation of Reports

After the test is done successfully, then compiled a report accompanied by conclusions and suggestions.

B. System Design

Basically this application is made by calculating the value of certainty (Certainty Factor) between selected issues relating to article in Consumer Protection‘s Law. The following system design:

1) On the menu ‘Konsultasi‘, the input data is an indication of the shape of irregularities or violations, first of all user choose one of three categories:

the quantity of goods / services, quality of goods / services, or advertising / promotion.

2) After the input of these categories, user will get choices of more specific criteria to describe user‘s condition.

3) The system will calculate the value of certainty factor of each level of confidence in the criteria questions that filled by user. The criteria in the list associated with existing articles in Consumer Protection‘s Law.

4) The system will display the article that has certainty factor which has been calculated, wherein it will be included with the Certainty Factor value.

5) The end result of this application is the article information relating to the problems that fed by user and it also accompanied with legal sanctions.

C. Certainty Factor(CF)

Certainty Factor values obtained from the result of reducing the amount of degrees of confidence (Measure of Belief - MB) with a degree of distrust (Measure of Disbelief - MD)[4]. The amount of MB and MD obtained

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International Conference on Vocational Education and Electrical Engineering (ICVEE) 2015

155

from the value that determined by an expert with a range of values that CF: -1 ≤ CF ≤ 1.

. (1) In addition, experts also determines the interpretation of the user‘s confidence levels answer choices. In the making of this application, the expert‘s interpretation can be seen in Table I below.

TABLE I TYPE SIZE FOR PAPERS

No Description CFuser Value

1 Very Sure 1

2 Sure 0.66

3 A little bit sure 0.33

4 Don‘t Know 0

5 A little bit unsure -0.33

6 Unsure -0.66

7 Very Unsure -1

Furthermore CFpakar and user‘s answer (CFuser) will be multiplied.

. (2) If there are more than one statements that want to find the value of its CF value, then the merger is done with only two statements in one calculation.

1) If CF1 & CF2, both values >= 0 :

( ) . (3) 2) If one of the CF value < 0 :

*| | | |+

. (4) 3) If CF1 & CF2, both values < 0 :

( ) . (5) Examples:

In this application, there are three main categories of problems that experienced by consumers are: quantity, quality, and advertising / promotion. When a user selects the category 'quantity' and in this category there are five criteria that Heavy Products, Product Number, Product Quota, Services Quota and Products Through Order. Each criteria related to articles in Consumer Protection‘s Law. Users select criteria Number of Products as his problems. Number of Product criteria related to Article 8 Paragraph 1 Clause C. There are questions inside criteria Number of Products, as follows:

a) How much confidence are you that the size of the products you buy are not same as the size listed on the packaging

b) How much confidence are you that when you weigh the product you buy it does not as heavy as weight listed in the packaging

Then, the user determines the level of confidence to question 1) and 2), with answer options Very Sure, Sure, A little bit sure, Don‘t Know, A little bit unsure, Unsure, Very Unsure.

In example user selects an answer to the question Very Sure for question a) and Sure for question b).

Furthermore, CF calculation process begins.

1) CF for question a) : CFpakar = 0.69

CFuser = 1 (Very Sure)

CF1 = CFpakar * CFuser = 0.69 * 1 = 0.69 2) CF for question b) :

CFpakar = 0.95 CFuser = 0.66 (Sure)

CF2 = CFpakar * CFuser = 0.99 * 0.66 = 0627 3) CFcombination:

( ) ( )

From the calculation‘s result, the problems experienced by user, is breaking Article 8 Paragraph 1 Clause C with value (0.88437 * 100%) = 88.437% ~ 88.44%

D. Use Case

Use Case Sysem Design

Fig. 1 Describe the use case of the system design to be created.

As can be seen, there are two actors namely Admin and User. Admin has can login to the website administrator. Later in the website administrator, admin can add criteria, the question, as well as sanctions and remove criteria, questions and sanctions. While users can use the four menus, the menu to see which applications use guide contains information on

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International Conference on Vocational Education and Electrical Engineering (ICVEE) 2015

156 how to use expert system application for users

who are having trouble, and see Law No. 8 of 1999. There is also a consultation menu that the user can get the information of article as well as other laws relating to the problem, as well as a menu of feedback that can help the user deliver his problems to application developers.

III. EXPERIMENTAL RESULT

Implementation of Expert System Application of Law Number 8 Year 1999 concerning Consumer Protection is run through a smartphone with android 5.0 operating system lollipop owned by the author.

Fig. 2. Display Application

Fig. 2 Illustrates some view when the application is run for the trial implementation.

These views are when the initial application is run, the 'Panduan Penggunaan' menu, the 'Lihat UU' menu, the 'Konsultasi' menu, the 'Umpan Balik' menu.

Implementation of the system is in the form of display every pages of the administrator website. There is a login page, the Home page-Admin, insert criteria page, insert question page, insert sanctions page, delete criteria page, delete question page, delete sanctions page and one page to see the feedback from users who have used the application. All of these pages can only be accessed by the administrator.

Fig. 3 shows some pages contained in the server to manipulate datas and see the feedback from the user application.

Fig. 3. Administrator Website Page IV. CONCLUSION

The conclusion that can be drawn from Design Expert System Law Number 8 Year 1999 concerning Consumer Protection Using Mobile Application:

1. This application helps understand the rights as a consumer in Indonesia, which are protected by Law Number 8 Year 1999.

2. Based on the user response to the questionnaire, this application gives more confidence for consumers to protest against the seller if there are problems with the goods / services purchased.

3.This application is user friendly.

4.The grammar and language used in this application is easy to understand.

REFERENCES

[1] Nurhayati, I. dan Y.M, E. (2011). Perlindungan Konsumen Melalui Kontrol Sosial Formal Dan Informal. Jurnal Ekonomi Dan Bisnis, Vol 10, N0.

1 : 71-76

[2] Marimin. (1992). Pengenalan Sistem Pakar. Jakarta : Elex Media Komputindo.

[3] Turban, E., Aronson, J.E., and Liang, T.P. (2005).

Decision support systems and intelligent systems, 7th ed., New Jersey: Pearson, Prentice Hall.

[4] Yulianton, Heribertus. (2010). Model Certainty Factor – Pengantar. Retrieved February 24, 2015, from

http://heri.staff.unisbank.ac.id/2010/12/21/model- certainty-factor-pengantar

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