E-Charity Application to Help Poverty in Kuala Lumpur: Fundle

Authors

  • Mohamad Fareez Bin Jasmi Asia Pacific University of Technology and Innovation, Technology Park Malaysia, Bukit Jalil, Kuala Lumpur, Malaysia. Author
  • Naresh Kumar Appadurai Asia Pacific University of Technology and Innovation, Technology Park Malaysia, Bukit Jalil, Kuala Lumpur, Malaysia. Author

DOI:

https://doi.org/10.61841/p62y6323

Keywords:

Poverty, Municipal Solid Waste (MSW), Non-Profit Organizations (NPOs), Global Positioning System (GPS), Cloud Database, Poverty Rate

Abstract

 The Malaysian economy has seen a significant growth ever since the independent in 1957 and has excellently changed the country from poor into a middle-developing nation. Therefore, this success has helped the country to combat poverty issues effectively throughout the year. Despite this success, there is still an existing group of poverty in Kuala Lumpur that are struggling themselves to survive. This paper aims to analyse and assess the characteristics of poverty group and donators in Kuala Lumpur, other current problems that relate to the poverty issue, charity organizations status in Malaysia and the proposed solution to reduce the poverty rate. Also, to help the hidden poverty group in Kuala Lumpur by encouraging people to donate more to charity houses. This paper explores a mobile based technology solution to perform donations more effectively using solutions like GPS and Cloud infrastructure in order to bridge donors and the needy in a more efficient manner 

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References

[1] Aja, O.C., Oseghale, S.D. and Al-Kayiem, H. (2014) ‘Review and Evaluation of Municipal Solid Waste

Management Practices in Malaysia’, The Journal of Solid Waste Technology and Management. [Online].

40(3), pp. 215–232. doi: 10.5276/jswtm.2014.215. Available from: https://www.emeraldinsight.com/doi/

abs/10.1108/H01-2016-0007 [Accessed: 10 March 2019].

[2] Awan, M.Y. and Hameed, F. (2014) ‘The Effect of Demographic, Socio-economic and Other

Characteristics on Donations’, Current Research Journal of Social Sciences. [Online]. 6(2), pp. 55–76.

Available from: https://core.ac.uk/download/pdf/82125310.pdf [Accessed from: 10 March 2019].

[3] Braiterman, A. et al. (2011) ‘Making Participants and Donors Successful with Mobile Solutions’. [Online]

(February), pp. 1–6. Available from: https://www.blackbaud.com/files/resources/downloads/ WhitePaper_

DynamicsSuccessfulMobileSolutions.pdf [Accessed from: 10 March 2019].

[4] Budhiarta, I., Siwar, C. and Basri, H. (2012) ‘Current Status of Municipal Solid Waste Generation in

Malaysia’, International Journal on Advanced Science, Engineering and Information Technology. [Online]

2(2), p. 129. doi: 10.18517/ijaseit.2.2.169. Available from: https://www.researchgate.net/ publication/

266224174_ Current_Status_of_Municipal_Solid_Waste_Generation_in_Malaysia [Accessed from: 11

March 2019].

[5] Cordery, C. (2015). ‘Accounting for charities from an international perspective : a review of principles and

practice in the United Kingdom, The Netherlands, Hong Kong and New Zealand.’ [Online], (April).

Available from: https://bit.ly/2GSZMr5 [Accessed from: 11 March 2019].

[6] Daniel, E. (2016) ‘The Usefulness of Qualitative and Quantitative Approaches and Methods in Researching

Problem-Solving Ability in Science Education Curriculum’, Journal of Education and Practice. [Online],

7(15), pp. 91–100. Available from: https://files.eric.ed.gov/fulltext/EJ1103224.pdf [Accessed from: 13

March 2019].

[7] Diba, S.N. (2018) ‘Blood Donation Application with Implementation of Machine Learning’. [Online].

(April), pp. 2-40. Available from: dspace.bracu.ac.bd/xmlui/handle/10361/10130 [Accessed from: 13

March 2019].

[8] Djenno, M., Insua, G.M. and Pho, A. (2015). ‘From paper to pixels: using Google Forms for collaboration

and assessment’, Library Hi Tech News, 32(4). [Online] pp. 9–13. doi: 10.1108/lhtn-12-2014-0105.

Available from: https://www.researchgate.net/publication/277967346_From_paper_to_pixels_Using_

Google_Forms_for_collaboration_and_assessment [Accessed from: 14 March 2019].

[9] Gaganpreet S (2017) ‘Pros and cons of different sampling techniques’, International Journal of Applied

Research. [Online] 3(7), pp. 749–752. Available from: www.allresearchjournal.com. [Accessed from: 14

March 2019].

[10] Ghafar, S. (2017) ‘Food waste in Malaysia: Trends, current practices and key challenges. [Online] Mardi,

(July 2017), pp. 1–10. Available from: https://www.researchgate.net/publication/326197665_F

ood_Waste_in_Malaysia_Trends_Current_Practices_and_Key_Challenges [Accessed from: 16 March

2019].

[11] Ghazali, A., Mohd Rafi, Y. and Mohamed Dahlan, I. (2012) ‘Entrepreneurial Characteristics amongst

Cooperatives in Malaysia – Preliminary Evidence’. The 13th Malaysia-Indonesia Conference on

Economics, Management & Accounting (MIICEMA 2012). [Online] pp. 1–14. Available from:

umkeprints.umk.edu.my/934/1/Paper%201.pdf [Accessed from: 16 March 2019].

[12] Giving USA (2017) ‘Giving the USA’, Choice Reviews Online. [Online] 48(11), pp. 48-6006-48–6006.

doi: 10.5860/choice.48-6006. Available from: www.cftompkins.org/wp.../04/Giving-USA-AnnualReporton-Philanthropy-2017.pdf [Accessed from: 18 March 2019].

[13] Hamid, A.A. et al. (2012) ‘Food Waste Management Options’. [Online] 2(1), pp. 36–39. Available from:

https://www.academia.edu/3850005/Food_Waste_Management_in_Malaysia_Current_situation_and_futur

e_management_options [Accessed from: 18 March 2019].

[14] Hasnan, S. et al. (2012) ‘Issues, challenges and the way forward for charitable organizations in Malaysia’,

ISBEIA 2012 - IEEE Symposium on Business, Engineering and Industrial Applications. [Online].

(September), pp. 776–780. doi: 10.1109/ISBEIA.2012.6422996. Available from: https://www.researchgate.

net/publication/261149788 Issues [Accessed from: 20 March 2019].

[15] Hatta, Z.A. and Ali, I. (2013) ‘Poverty Reduction Policies in Malaysia: Trends, Strategies and Challenges’,

Asian Culture and History. [Online]. 5(2). doi: 10.5539/ach. v5n2p48. Available from:

https://www.researchgate.net/publication/269667485 Poverty [Accessed from: 20 March 2019].

[16] Ishikawa, A., Perez, M. and Avila, S. (2018) ‘Combating Waste: A Mobile App for Food Donation’, XXVI

Congresso de Iniciação Científica Unicamp. [Online]. (July), pp. 1–1. doi: 10.20396/revpibic.v0i0.id.

Available from: https://www.prp.unicamp.br/inscricaocongresso/.../2018P14490A32996O5424.pdf

[Accessed from: 20 March 2019].

[17] Israel, G.D. (2003) ‘Determining Sample Size Degree of Variability Strategies for Determining Sample

Size’. [Online] University of Florida IFAS Extension, 5. doi: 10.1016/j.envpol.2016.06.04. Available from:

https://www.tarleton.edu/academicassessment/documents/Samplesize.pdf [Accessed from: 21 March

2019].

[18] Lim, W.J. et al. (2016) ‘Food waste handling in Malaysia and comparison with other Asian countries’,

International Food Research Journal. [Online] 23(July), pp. S1–S6. doi: 10.1016/j.resconrec.2013.11.004.

Available from: https://www.researchgate.net/publication/316662758 Food [Accessed from: 21 March

2019].

[19] Mathers, N., Fox, N. and Hunn, A. (2004) ‘Surveys and Questionnaires in Research’. [Online]. Policy,

(715), pp. 1997–2004. Available from: https://www.researchgate.net/publication/270684903_S

urveys_and_Questionnaires [Accessed from: 21 March 2019].

[20] Muhammed Abdul Khalid et al. (2018) Children without: A study of urban child poverty and deprivation in

low-cost flats in Kuala Lumpur, Unicef. [Online]. Available at: https://www.unicef.org/malaysia/

Children_Without__English_Version_-_For_Website_-_V2.pdf. [Accessed from: 21 March 2019].

[21] Ranganathan, S. and Henly, W. (2009) ‘Community fundraising 2.0--the future of fundraising in a

networked society?’ International Journal of Nonprofit and Voluntary Sector Marketing. [Online].

14(March 2019), pp. 365–370. doi: 10.1002/nvsm. Available from: https://www.researchgate.net/

publication/229920121 Determinants [Accessed from: 22 March 2019].

[22] Ridzuan, A.R. Bin et al. (2015) ‘Characteristic Affecting Charitable Donations Behavior: Empirical

Evidence from Malaysia’, Procedia Economics and Finance. Elsevier B.V. [Online]. 31(December), pp.

563–572. doi: 10.1016/s2212-5671(15)01202-2. Available from: https://www.researchgate.net/

publication/284796900 Characteristic [Accessed from: 22 March 2019].

[23] Sabariah, F. et al. (2018) ‘Solid Waste Minimization in Malaysia’. [Online]. 4, pp. 26–41. Available from:

http://www.pjsrr.upm.edu.my/ [Accessed from: 23 March 2019].

[24] Samsudin, M.D.M. and Don, M.M. (2013) ‘Municipal solid waste management in Malaysia: Current

practices, challenges and prospect’, Jurnal Teknologi (Sciences and Engineering). [Online]. 62(1), pp. 95–

101. doi: 10.11113/jt. v62.1293. Available from: https://www.researchgate.net/publication/264004463

Municipal [Accessed from: 23 March 2019].

[25] Scott (2000) ‘Analyzing Data Using Excel’. [Online] 2.01, pp. 1–11. Available from:

vfu.bg/en/eLearning/MS-Office--excel.pdf [Accessed from: 24 March 2019].

[26] De Smith, M. (2018) Statistical Analysis Handbook A Comprehensive Handbook of Statistical Concepts,

Techniques and Software Tools 2018 Edition. [Online]. Available from: https://www.statsref.com/

StatsRefSample.pdf. [Accessed from: 24 March 2019].

[27] World Bank Group (2015) Piecing Together Poverty Puzzle. [Online]. World Bank Group. doi:

10.1145/3132847.3132886. Available from: www.worldbank.org/en/publication/poverty-andsharedprosperity. [Accessed from: 26 March 2019].

[28] World Health Organization (2003) DAC Guidelines and Reference Series Poverty and Health DAC

Guidelines and Reference Series Poverty and Health World Health Organization. [Online] Available at:

www.SourceOECD.org,. [Accessed from: 26 March 2019].

[29] Bryman, A., 2012. Social Reseach Method [Online]. 4th ed. United Kingdom: Oxford University Press

Inc.. Available from: https://www.academia.edu/35174091/Alan_Bryman_Social_Research_Methods_4th

_ Edition_Oxford_Univer sity_Press_2012_ [Accessed from: 27 March 2019].

[30] The Penn State University, 2006. Using Surveys for Data Collection in Continuous Improvement.

Innovation Insights [Online], Issue 14, p. 7. Available from: www.virginia.edu/processsimplification/

resources/Pen nState%20Surveys.pdf [Accesed from: 30 May 2019]

[31] P. Mary Jeyanthi, Santosh Shrivastava Kumar “The Determinant Parameters of Knowledge Transfer among

Academicians in Colleges of Chennai Region”, Theoretical Economics Letters, 2019, 9, 752-760, ISSN

Online: 2162-2086, DOI: 10.4236/tel.2019.94049, which is in B category of ABDC

List. https://www.scirp.org/journal/Home.aspx?IssueID=12251

[32] P. Mary Jeyanthi, “An Empirical Study of Fraudulent and Bankruptcy in Indian Banking Sectors”, The

Empirical Economics Letters, Vol.18; No. 3, March 2019, ISSN: 1681-8997, which is in C category of

ABDC List. http://www.eel.my100megs.com/volume-18-number-3.htm

[33] Mary Jeyanthi, S and Karnan, M.: “Business Intelligence: Hybrid Metaheuristic techniques”, International

Journal of Business Intelligence Research, - Volume 5, Issue 1, April-2014. URL: https://dl.acm.org/

citation.cfm?id=2628938; DOI: 10.4018/ijbir.2014010105, which is in C category of ABDC List.

[34] P. Mary Jeyanthi, “INDUSTRY 4.O: The combination of the Internet of Things (IoT) and the Internet of

People (IoP)”, Journal of Contemporary Research in Management, Vol.13; No. 4 Oct-Dec, 2018, ISSN:

0973-9785.

[35] P. Mary Jeyanthi, "The transformation of Social media information systems leads to Global business: An

Empirical Survey", International Journal of Technology and Science (IJTS), issue 3, volume 5, ISSN

Online: 2350-1111 (Online). URL: http://www.i3cpublications.org/M-IJTS-061801.pdf

[36] P. Mary Jeyanthi,” An Empirical Study of Fraud Control Techniques using Business Intelligence in

Financial Institutions”, Vivekananda Journal of Research, Vol. 7, Special Issue 1, May 2018, ISSN 2319-

8702(Print), ISSN 2456-7574(Online). URL: http://vips.edu/wp-content/uploads/2016/09/Special-IssueVJR-conference-2018.pdf Page no: 159-164.

[37] Mary Jeyanthi, S and Karnan, M.: “Business Intelligence: Artificial bear Optimization

Approach”, International Journal of Scientific & Engineering Research, Volume 4, Issue 8, August-2013.

URL: https://www.ijser.org/onlineResearchPaperViewer.aspx?Business-Intelligence-Artificial-BearOptimization-Ap-proach.pdf

[38] Mary Jeyanthi, S and Karnan, M.: “Business Intelligence: Optimization techniques for Decision

Making”, International Journal of Engineering Research and Technology, Volume 2, Issue 8, August-

2013. URL: https://www.ijert.org/browse/volume-2-2013/august-2013-edition?start=140

[39] Mary Jeyanthi, S and Karnan, M.: “A New Implementation of Mathematical Models with metaheuristic

Algorithms for Business Intelligence”, International Journal of Advanced Research in Computer and

Communication Engineering, Volume 3, Issue 3, March-2014. URL: https://ijarcce.com/wpcontent/uploads/2012/03/IJARCCE7F-a-mary-prem-A-NEW-IMPLEMENTATION.pdf

[40] Dr. Mary Jeyanthi: “Partial Image Retrieval Systems in Luminance and Color Invariants: An Empirical

Study”, International Journal of Web Technology (ISSN: 2278-2389) – Volume-4, Issue-2.

URL: http://www.hindex.org/2015/p1258.pdf

[41] Dr. Mary Jeyanthi: “CipherText Policy attribute-based Encryption for Patients Health Information in Cloud

Platform”, Journal of Information Science and Engineering (ISSN: 1016-2364)

[42] Mary Jeyanthi, P, Adarsh Sharma, Purva Verma: “Sustainability of the business and employment

generation in the field of UPVC widows” (ICSMS2019).

[43] Mary Jeyanthi, P: “An Empirical Survey of Sustainability in Social Media and Information Systems across

emerging countries”, International Conference on Sustainability Management and Strategy”

(ICSMS2018).

[44] Mary Jeyanthi, P: “Agile Analytics in Business Decision Making: An Empirical Study”, International

Conference on Business Management and Information Systems” (ICBMIS2015).

[45] Mary Jeyanthi, S and Karnan, M.: “Business Intelligence – soft computing Techniques”, International

Conference on Mathematics in Engineering & Business Management (ICMEB 2012).

[46] Mary Jeyanthi, S and Karnan, M.: “A Comparative Study of Genetic algorithm and Artificial Bear

Optimization algorithm in Business Intelligence”, International Conference on Mathematics in Engineering

& Business Management (ICMEB 2012).

[47] Mary Jeyanthi, S and Karnan, M.: “Business Intelligence: Data Mining and Optimization for Decision

Making”, 2011 IEEE International Conference on Computational Intelligence and Computing Research

(2011 IEEE ICCIC).

[48] Mary Jeyanthi, S and Karnan, M.: “Business Intelligence: Data Mining and Decision making to overcome

the Financial Risk”, 2011 IEEE International Conference on Computational Intelligence and Computing

Research (2011 IEEE ICCIC).

[49] Dr. Mary Jeyanthi, S: “Pervasive Computing in Business Intelligence”, State level seminar on Computing

and Communication Technologies. (SCCT-2015)

[50] Dr.P. Mary Jeyanthi, “Artificial Bear Optimization (ABO) – A new approach of Metaheuristic algorithm

for Business Intelligence”, ISBN no: 978-93-87862-65-4, Bonfring Publication. Issue Date: 01-Apr-2019

[51] Dr.P. Mary Jeyanthi, “Customer Value Management (CVM) – Thinking Inside the box” – ISBN: 978-93-

87862-94-4, Bonfring Publication, Issue Date: 16-Oct-2019.

[52] Jeyanthi, P.M., & Shrivastava, S.K. (2019). The Determinant Parameters of Knowledge Transfer among

Academicians in Colleges of Chennai Region. Theoretical Economics Letters, 9(4), 752-760

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Published

31.10.2019

How to Cite

Fareez Bin Jasmi, M., & Kumar Appadurai, N. (2019). E-Charity Application to Help Poverty in Kuala Lumpur: Fundle. International Journal of Psychosocial Rehabilitation, 23(4), 1343-1354. https://doi.org/10.61841/p62y6323