Penerapan Statistical Quality Control dalam Mengidentifikasi Tingkat Kebahagiaan Masyarakat Indonesia pada Tahun 2014, 2017, dan 2021

Abstract

A flashback to the situation of the COVID-19 pandemic, which has spread throughout the world for the past two years, including in Indonesia, has certainly had an impact on many people. The increasing number of deaths due to COVID-19 certainly raises very deep concern for people in Indonesia. Fear of contagion, limited activities at home, and income that may decrease are felt to be very influential on people's happiness. Therefore, it is necessary to control to see the control of the happiness index on the community as an evaluation material for the government in each region in Indonesia. In this study, the Statistical Quality Control (SQC) method was used to carry out this control. This study aims to analyze the level of people's happiness in Indonesia in 2014, 2017, and 2021 with the application of Statistical Quality Control. Statistical Quality Control is a problem solving technique used to monitor, control, analyze, manage, and improve products and processes using statistical methods. The statistical tool used is a variable control chart, namely the average control chart and the range control chart. The study was conducted by taking data on the happiness index of the Indonesian people in all regions (provinces) as a sample, except for North Kalimantan Province (because the data held were incomplete). The results of data processing using the control chart mean that the BKA value is 74,79 and BKB is 66,83. From the results of this analysis, it can be seen that there are areas that are outside the control limits, namely the Province of Papua. This shows that people in Papua Province have a low level of happiness. While the results of data processing using a range, the BKA value is 10,24 and the BKB value is 0. These results indicate that there are no areas outside the control limits or all areas within the control limits.