[vc_empty_space][vc_empty_space]
Comparison of the Haryadi Index with existing method in competition, equality, fairness, and correlation level calculation: Case study: Telecommunication industry
Nie L.K.A.a, Haryadi S.a
a Institut Teknologi Bandung, Indonesia
[vc_row][vc_column][vc_row_inner][vc_column_inner][vc_separator css=”.vc_custom_1624529070653{padding-top: 30px !important;padding-bottom: 30px !important;}”][/vc_column_inner][/vc_row_inner][vc_row_inner layout=”boxed”][vc_column_inner width=”3/4″ css=”.vc_custom_1624695412187{border-right-width: 1px !important;border-right-color: #dddddd !important;border-right-style: solid !important;border-radius: 1px !important;}”][vc_empty_space][megatron_heading title=”Abstract” size=”size-sm” text_align=”text-left”][vc_column_text]© 2017 IEEE.This research is focused in a formula called Haryadi Index, which implemented in the assessment of telco industry. This formula will be contested with the other existing formula to gauge competition level, equality level, fairness level, and correlation level. The Herfindahl-Hirschman Index will be compared against Haryadi Index for competition level, Gini Index will be compared for equality level, Jain Index for fairness level, and Pearson Correlation for the correlation level calculation. The research produces the following : (1) Haryadi Index can provide better number for an industry with a different level of competition, whereas the Herfindahl-Hirschman Index do worse; (2) Haryadi Index has more precise equality level coefficient than the Gini Index; (3) Haryadi Index can give more appropriate indexes for a variety levels of fairness, while Jain Index gives a relatively bigger indexes for a variety levels of fairness; (4) Haryadi Index gives a new alternative for correlation counting which refer to the linear equation, while more research will be needed to find the better situation to use the Haryadi Index or the Pearson Correlation appropriately.[/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”Author keywords” size=”size-sm” text_align=”text-left”][vc_column_text]Gini Index,Haryadi Index,Herfindahl-hirschman indices,Jain Index,Pearson correlation[/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”Indexed keywords” size=”size-sm” text_align=”text-left”][vc_column_text]Gini Index,Haryadi Index,Herfindahl-Hirschman Index,Jain Index,Pearson Correlation,Statistics[/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”Funding details” size=”size-sm” text_align=”text-left”][vc_column_text][/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”DOI” size=”size-sm” text_align=”text-left”][vc_column_text]https://doi.org/10.1109/TSSA.2017.8272914[/vc_column_text][/vc_column_inner][vc_column_inner width=”1/4″][vc_column_text]Widget Plumx[/vc_column_text][/vc_column_inner][/vc_row_inner][/vc_column][/vc_row][vc_row][vc_column][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][/vc_column][/vc_row]