scholarly journals Efficacy of Demonetisation in Eliminating Black Money: An Analysis of Indian Demonetisation November 2016

2017 ◽  
Vol 8 (5) ◽  
pp. 71
Author(s):  
T.P. Ghosh
Keyword(s):  
Data Mining ◽  
Tax Evasion ◽  
Public Perception ◽  
Transition Period ◽  
Low Rank ◽  
Short Run ◽  
Corruption Perception ◽  
High Level ◽  
Legal Consequences ◽  
Good Proportion

Indian demonetisation 2016 targeted to eliminate black money and counterfeit currency has been questioned in the economic and political discourse on the ground of hardship faced by millions and return of 98.96% of banned currency to the system. It was a popular expectation that a good proportion of banned currency would not return to the system as the black money holders might destroy them to avoid legal consequences. While the demonetisation strategy is dubbed as a failure based on ‘cash seizure’ parameter, this article reviewed its efficacy using five broader perspectives: • data mining to trace the sources of disproportionate cash holding, • improved tax collection, • balancing currency circulation, • uninterrupted flow of foreign direct investment despite short run economic down turn and• public perception. Economic growth and corruption are found to be negatively correlated except the ‘Asian Paradox’ observed in few research studies. In general, Indian economy is smudged by high level of corruption, tax evasion and accumulated black money which has been reflected in the continuing low rank of India in the Corruption Perception Index. Demonetisation failed in ‘cash seizure’ parameter as the black money held in banned currency was traded with organised money laundering groups at a high discount which then were deposited back to the system. The success of the demonetisation strategy is primarily linked to the success of ‘operation clean money’ launched by the tax authority under which the depositors with unaccounted wealth is traced back through data mining from disproportionate deposits during the transition period.

Teknik Data Mining Dalam Clustering Produksi Susu Segar Di Indonesia Dengan Algoritma K-Means

2019 ◽  
Vol 1 (1) ◽  
pp. 31-39
Author(s):  
Ilham Safitra Damanik ◽  
Sundari Retno Andani ◽  
Dedi Sehendro
Keyword(s):  
Data Mining ◽  
Milk Production ◽  
Clustering Algorithm ◽  
Clustering Method ◽  
Data Mining Techniques ◽  
Low Level ◽  
Fresh Milk ◽  
Nutritional Needs ◽  
High Level ◽  
Level Cluster

Milk is an important intake to meet nutritional needs. Both consumed by children, and adults. Indonesia has many producers of fresh milk, but it is not sufficient for national milk needs. Data mining is a science in the field of computers that is widely used in research. one of the data mining techniques is Clustering. Clustering is a method by grouping data. The Clustering method will be more optimal if you use a lot of data. Data to be used are provincial data in Indonesia from 2000 to 2017 obtained from the Central Statistics Agency. The results of this study are in Clusters based on 2 milk-producing groups, namely high-dairy producers and low-milk producing regions. From 27 data on fresh milk production in Indonesia, two high-level provinces can be obtained, namely: West Java and East Java. And 25 others were added in 7 provinces which did not follow the calculation of the K-Means Clustering Algorithm, including in the low level cluster.

Determinants of Budget Deficit in Nigeria

2021 ◽  
Vol 6 (1) ◽  
pp. 1
Author(s):  
Maimuna M Shehu ◽  
Ibrahim M Adamu
Keyword(s):  
Budget Deficit ◽  
Budget Deficits ◽  
Cointegrating Vector ◽  
Long Run ◽  
Johansen Cointegration ◽  
Short Run ◽  
Johansen Cointegration Test ◽  
The Government ◽  
One Year ◽  
High Level

This paper investigates the factors governing the determination of budget deficit in Nigeria from 1981q1 through 2016q4. Our methodology is based on Johansen cointegration and Vector Error Correction model (VECM) approach. The result from the Johansen cointegration test suggests one cointegrating vector, which indicates the existence of a long run cointegrating relationship. Evidence from the long run and short run parameters suggest that exchange rate, interest rate and one year lag of budget deficit are the major determinants of budget deficit. Therefore, to achieve a realistic fiscal surplus, the government should determine a high level of accountability in its fiscal operations. In addition, any fiscal surplus should be channeled into productive investments to diversify the economy and reduce the likelihood of potential budget deficits.

ParSoDA: high-level parallel programming for social data mining

2018 ◽  
Vol 9 (1) ◽  
Author(s):  
Loris Belcastro ◽  
Fabrizio Marozzo ◽  
Domenico Talia ◽  
Paolo Trunfio
Keyword(s):  
Data Mining ◽  
Parallel Programming ◽  
Social Data ◽  
Social Data Mining ◽  
High Level

scholarly journals Relationship between inflation and inflation uncertainty: The case of Serbia

2009 ◽  
Vol 19 (1) ◽  
pp. 171-183 ◽  
Author(s):  
Zorica Mladenovic
Keyword(s):  
Transition Period ◽  
Inflation Uncertainty ◽  
Monthly Data ◽  
High Inflation ◽  
Short Run ◽  
Permanent And Transitory Components ◽  
Uncertainty Models ◽  
The Relationship ◽  
Uncertainty Relationship ◽  
High Uncertainty

The purpose of this paper is to examine the relationship between inflation and inflation uncertainty in the Serbian economy, being particularly vulnerable to shocks in inflation rate, during transition period 2001 - 2007. Based on monthly data several GARCH specifications are estimated to provide the measure for inflation uncertainty. Derived variables are then included into VAR model to test for Granger-causality between inflation and its uncertainty. Models that consider only permanent and transitory components of prices are also estimated to investigate the inflation-uncertainty relationship in the long and in the short run. The main conclusion of the paper is that high inflation invokes high uncertainty, while high uncertainty negatively affects the level of inflation at long horizon.

scholarly journals THE PUBLIC PERCEPTIONS TOWARDS SORENG DANCE AT LEMAHIRENG VILLAGE BAWEN, SEMARANG

2017 ◽  
Author(s):  
Restu Lanjari ◽  
Anis Kairunisa
Keyword(s):  
Public Perception ◽  
Public Perceptions ◽  
Department Of Education ◽  
The Public ◽  
Sociological Approach ◽  
Younger Age ◽  
Approach Method ◽  
Using Data ◽  
High Level ◽  
The Village

Soreng dance is a kind of populist dance in the village Lemahireng. Dance Soreng describe the morale of the troops brave choice soldiers prepared for war games. Issues examined in this study are: Public perception of the Dance in the Village Lemahireng Soreng Bawen District of Semarang District. Goals to be achieved in this research is to determine the public perception in the village Lemahireng Bawen District of Semarang District and to determine the measures to be undertaken by the Department of Education and Culture. This study uses qualitative research methods and conduct research with a sociological approach method. Data were analyzed using data reduction, data presentation and conclusion. The results showed that of some perceptions obtained from the community about Tari Soreng. Perception is not present in the community to support children age (12-17 years) and younger age (17-25 years) and that support tends society in old age (25-85 years). Factors that affect the public perception of dance in the village Soreng Lemahireng Bawen District of Semarang District is the background for the birth of the perception of the community as a high level of education makes way people view more open and modern. The effort to do Office of Education and Culture of Semarang District is to provide guidance Dance Soreng should start with their own community in their respective regions, also carried out by a group of community Soreng kridho Wargo budhoyo, one form of effective formation is to hold a festival or competition. The conclusions of the study are: Problems sector in the public perception depends on your viewpoint and how to view an art. Dance Soreng perception of change in different elements of society Lemahireng village along with the advancement of age. Suggestions for the Education and Culture District of Semarang, to further maximize conservation efforts in the utilization of Dance Soreng in science and tourism. The younger generation is expected to be more easily studied dance Soreng and is expected to preserve and develop it.

scholarly journals Community Perspective on Environmental Pollution in the Citarum River, Karawang-West Java

2021 ◽  
Vol 56 (3) ◽  
pp. 419-424
Author(s):  
Muhammad Sholeh ◽  
Pranoto ◽  
Sri Budiastuti ◽  
Sutarno
Keyword(s):  
Community Participation ◽  
Public Perception ◽  
Skin Diseases ◽  
Respiratory Infections ◽  
Public Awareness ◽  
River Pollution ◽  
Public Perceptions ◽  
Environmental Conservation ◽  
The People ◽  
High Level

The use of polluted Citarum River water can cause various diseases, including diarrhea, skin diseases, respiratory infections, etc. This study examines the causes of Citarum River pollution in terms of how residents care about environmental conservation aspects of the Citarum River. The researchers used qualitative methods using questionnaires to explore public perceptions. This method explores four perceptions covering four main aspects: public perception, community participation, socio-economic community, and sanitation waste aspects. Questionnaire analysis with a bivariate statistical test approach and Cronbach's alpha test has the advantage of being able to clearly describe the updated condition of the Citarum River because the data can be justified. After all, it has a high level of confidence of around 95 percent. The results showed that in terms of public perception of the Citarum River, 68% were good, while in terms of community participation in preserving the Citarum River, 26% of the people also participated well, and 32% participated moderately in the maintenance of the Citarum River. As many as 42% of the community consisting of 27% less participate and 15% do not participate. The results of the questionnaire Socio-economy of the Citarum River community are classified as having a fairly good economic condition 59% and a moderate category 41%. The waste and sanitation questionnaire results showed that public awareness about waste and sanitation was also high. 45% percent of the community has a good awareness of the environment around the Citarum River, and 38% have sufficient awareness.

Economic Cycles in Argentina: 1875–1990

2006 ◽  
Vol 38 (3) ◽  
pp. 549-570 ◽  
Author(s):  
ISABEL SANZ-VILLARROYA
Keyword(s):  
Aggregate Demand ◽  
Unit Root Tests ◽  
Economic Cycles ◽  
Long Run ◽  
Economic Forces ◽  
Mode Of Operation ◽  
Key Factor ◽  
Short Run ◽  
High Level ◽  
Level Of Agreement

This article analyses the short-run periods that can be derived from the GDP per capita series for Argentina between 1875 and 1990, after extracting its segmented long-run trend using time series techniques and unit root tests. It also studies the economic forces which, from the aggregate demand side, might provide an explanation for this behaviour. This mode of operation makes it possible to identify successive cycles more accurately than in previous studies. A high level of agreement is observed between the results of this study and arguments in the literature regarding the causes shaping these short-run periods: the analysis demonstrates that exports were the key factor until 1932 while after this year consumption and investment came to predominate.

Data Mining and Knowledge Discovery in Databases

2019 ◽  
pp. 502-514 ◽  
Author(s):  
Ana Azevedo
Keyword(s):  
Data Mining ◽  
Knowledge Discovery ◽  
Knowledge Discovery In Databases ◽  
Great Relevance ◽  
The Subject ◽  
Inductive Databases ◽  
High Level

The term knowledge discovery in databases or KDD, for short, was coined in 1989 to refer to the broad process of finding knowledge in data, and to emphasize the “high-level” application of particular data mining (DM) methods. The DM phase concerns, mainly, the means by which the patterns are extracted and enumerated from data. Nowadays, the two terms are, usually, indistinctly used. Efforts are being developed in order to create standards and rules in the field of DM with great relevance being given to the subject of inductive databases. Within the context of inductive databases, a great relevance is given to the so-called DM languages. This chapter explores DM in KDD.

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