A Novel Algorithm for Monitoring Field Data Collection Officers of Indonesia's Central Statistics Agency (BPS) Using Web-Based Digital Technology

Abstract

This study focuses on the creation of a novel algorithm for monitoring field data collection activities by field data collection officers from Indonesia's Central Statistics Agency (BPS) using web-based digital technology. This study aims to check the accuracy and veracity of data collected by the BPS data collection officer. In this research, 200 respondents were collected by 10 data collection officers of Indonesia's Central Statistics Agency (BPS) and monitored by 5 supervisors’ officers from BPS. Then the Head of BPS supervises process monitoring at a certain regional BPS office. We propose a novel algorithm that can be used with web-based digital technologies. The algorithm is developed by comparing data from the BPS office in the form of three variables that are a list of names of respondents, a list of questioners for respondents, and the location (area) of respondents with data from the respondent's NIK (ID Number), answers to respondents' questions entered into the system, and the GPS location of field data collection officers detected by the web-based system. This research employed a novel algorithm on web-based digital technology, increasing the accuracy and veracity of collected data. The score value of the respondent's name variable is 92 percent, the respondent's answer to the questionnaire variable is 93 percent, and the respondent's location variable is 95 percent. The data was evaluated by all field data collection officers, supervisory officers, and the BPS head.