Prosiding Seminar Nasional Official Statistics
Vol 2022 No 1 (2022): Seminar Nasional Official Statistics 2022

Perbandingan Hot-deck, SVM, dan Random Forest dalam Mengidentifikasi Industri Mikro dan Kecil Terdampak Covid-19 Tahun 2020

Iman Jihad Fadillah (Unknown)
Lalu Moh. Arsal Fadila (Politeknik Statistika STIS)
Lalu Muhamad Winadi Darundiye (Politeknik Statistika STIS)

Article Info

Publish Date
01 Nov 2022

Abstract

The spread of Covid-19 has been declared a pandemic since March 2020. The pandemic coupled with policies by the government resulted in a decline in the economic sector, especially in micro and small industries (IMK). Identifying IMK affected by the Covid-19 pandemic is an important step. There are two types of identification methods that are commonly used, namely statistical-based methods and machine learning-based methods. Each method has different measurement results. Therefore, an appropriate method is needed to identify IMKs affected by the Covid-19 pandemic. This study aims to compare the hot-deck, SVM and random forest methods, in order to obtain the best method to identify IMK affected by Covid-19. The results obtained are that the random forest method is the best method in identifying IMK affected by Covid-19.

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Journal Info
Prosiding Seminar Nasional Official Statistics
Website

Abbrev

semnasoffstat

Publisher

Politeknik Statistika STIS

Subject

Humanities Computer Science & IT Economics, Econometrics & Finance Social Sciences

Description

prosiding seminar ini bertujuan untuk menghasilkan berbagai pemikiran solutif, inovatif, dan adaptif terkait isu, strategi, dan metode yang memanfaatkan official ...