scholarly journals Combination of Decision Tree and K-Means Clustering Methods for Decision Making of BLT Recipients in the Covid-19 Period

Author(s):  
Jani Kusanti ◽  
Djoko Sutanto

The economic conditions during the Covid-19 outbreak had an impact on society globally. The number of people who have experienced layoffs has an impact on the economic conditions of the family. The economic impact that helps the community encourages the government to increase efforts to increase social assistance in the form of BLT. However, the distribution of BLT was not right on target, there were still many people who really could not afford not to receive BLT, while those who were still able to get BLT assistance. Therefore, it is important in this study to use a combination of the K-Means Cluster and Decision Tree methods to be used in BLT recipient decision making, with the aim of increasing BLT recipients as expected. The calculation results were obtained using a combination of the K-Means Cluster and Decision Tree methods referring to the criteria for the community who has the right to receive data with an error level of -2.476190476 <from error tolerance 6.84.

2018 ◽  
Vol 14 (2) ◽  
Author(s):  
Andrew Kibblewhite ◽  
Peter Boshier

Concern exists that New Zealand hasn’t struck the right balance between two potentially competing principles of good government: officials should provide free and frank advice to ministers, and the public should have opportunities to participate in decision making and hold the government to account. Steps we have taken to address this include: strengthening constitutional underpinnings for free and frank advice (Cabinet Manual changes and issuing expectations for officials); a work programme to improve government agency practice in relation to the Official Information Act; and the Office of the Ombudsman reducing uncertainty about when advice can be withheld by issuing new principles-based guidance and providing more advisory services.


2021 ◽  
Vol 5 (2) ◽  
pp. 549
Author(s):  
Julfikar Rahmad ◽  
Volvo Sihombing ◽  
Masrizal Masrizal

The problem of poverty is a classic problem that occurs in every country, both developed countries and developing countries like Indonesia. In every country, there are many programs carried out by the government to overcome the problem of poverty, one of which is the RASKIN program carried out by the Indonesian government. The method used to complete this research is SMARTER (Simple Multi Attribute Rating Technique Exploiting Ranks). During the Covid 19 pandemin, which is currently happening, various kinds of assistance are needed for middle and lower class people in rural areas, thus to distribute assistance, assistance distribution techniques are needed so that it reaches the right people. The SMARTER method was chosen because it is a form of decision support model used in decision making with multi attributes that will be used to solve decision-making problems. The research was conducted in Sei Beluru Village, Meranti District, Asahan Regency. In Sei Beluru Village, several criteria were obtained from direct observation of the field, namely the area of the house floor, the type of floor of the house, the type of house wall, the toilet facilities, the source of drinking water, lighting, materials. fuel used, frequency of eating, ability to buy meat, ability to buy clothes, ability to seek treatment, monthly income, education of the head of household, ownership of assets. Decision support systems using the Smarter method are able to analyze data on people who are entitled to receive Raskin assistance. The results obtained from this study are that from several prospective recipients of Raskin assistance with the specified criteria, it is found that the most prioritized alternative has the highest value of 0.603 using the Smarter method.


2020 ◽  
Vol 11 (1) ◽  
Author(s):  
M Samsul Haidir

AbstractZakat is a means of worship that must be fulfilled by Muslims, where it involves a servant's horizontal relationship with God. The realization of the collection of zakat and infaq by BAZNAS in Yogyakarta in 2016 reached 4.38 billion rupiah. As for the purpose of this study is to evaluate the performance of the government and society in managing zakat, the performance of zakat institutions, and the influence of zakat on the welfare of those who have the right to receive zakat in Yogyakarta. This research was conducted using survey methods through interviews using questionnaires. Samples were selected using purposive sampling technique. The analysis was carried out using the National Zakat Index using the Mixed Method. The results showed that the performance of zakat management in Yogyakarta was quite good with an index value of 0.4878. 


2016 ◽  
Vol 46 (4) ◽  
pp. 2924-2934 ◽  
Author(s):  
Muhammad Azam ◽  
Muhammad Aslam ◽  
Khushnoor Khan ◽  
Anwar Mughal ◽  
Awais Inayat

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