E-Commerce Pandemic Covid-19 Home Industries and SMEs

Kurniasih, Dewi; Akbar, F.

doi:10.34010/injuratech.v1i1.5640

Cited by 6 publications

(3 citation statements)

References 9 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Pada konsep Usaha Mikro, Kecil, dan Menengah (UMKM), industri rumahan termasuk kedalam kategori Usaha Mikro [1]. Industri rumahan di beberapa negara di dunia dikelompokkan kedalam sektor informal.…”

Section: Pendahuluanunclassified

Aplikasi Dynamic Cluster pada K-Means BerbasisWeb untuk Klasifikasi Data Industri Rumahan

Santoso¹,

Magdalena²,

Wardhana

2022

matrik

View full text Add to dashboard Cite

Masalah utama yang dihadapi Pemerintah Daerah Provinsi Kepulauan Bangka Belitung saat ini adalah sulitnya mengklasifikasikan data industri rumahan berdasarkan Peraturan Menteri PPPA No 2 Tahun 2016 yaitu pemula, berkembang dan maju. Berdasarkan permasalahan tersebut diusulkan pengembangan algoritma Kmeans yaitu algoritma Dynamic cluster pada K-means dengan tujuan agar dapat menghasilkan klaster yang optimal dalam pengelompokan data industri rumahan dengan membangun aplikasi cerdas berbasis web. Penelitian ini menggunakan metode analisis data mining SEMMA, yang meliputi tahapan-tahapan seperti data sampel, deskripsi data, transformasi data, pemodelan data, dan evaluasi data. 3.466 industri rumah tangga digunakan sebagai sampel data. Kinerja algoritma dievaluasi menggunakan pengukuran validitas klaster Davies Bouldin Index (DBI). Hasil eksperimen menunjukkan bahwa algoritma Dynamic cluster pada K-means memberikan nilai yang optimal pada iterasi ke lima, dengan perolehan sebagai berikut: klaster pemula (C1) diperoleh sebanyak 3214, kemudian klaster berkembang (C2) diperoleh sebanyak 167 dan klaster maju (C3) diperoleh sebanyak 85. Hasil evaluasi validitas klaster menunjukan bahwa algoritma Dynamic cluster pada Kmeans memperoleh nilai DBI lebih kecil dibandingkan dengan algoritma K-means dengan nilai DBI sebesar 0.184. Implementasi algoritma dynamic cluster pada K-means untuk pengelompokan data industri rumahan pada Dinas P3ACSKB di Provinsi Kepulauan Bangka Belitung terbukti menghasilkan kualitas cluster yang lebih optimal.

show abstract

Section: Pendahuluanunclassified

Aplikasi Dynamic Cluster pada K-Means BerbasisWeb untuk Klasifikasi Data Industri Rumahan

Santoso¹,

Magdalena²,

Wardhana

2022

matrik

View full text Add to dashboard Cite

show abstract

“…An empirical study on the application of e-commerce was also carried out by the University of Pasundan [11]. In terms of the home industry, an in-depth study has also been carried out [12]. A more in-depth study was conducted in Bogor to see the level of business adoption since the pandemic [13].…”

Section: Literature Reviewmentioning

confidence: 99%

The Implementation of E-Commerce for Micro, Small and Medium Enterprises (MSMES) in Covid 19 Pandemic Era

As’ad¹,

Alwi²,

Anitasari³

et al. 2022

Advances in Economics, Business and Management Research

View full text Add to dashboard Cite

The COVID-19 pandemic has had a huge impact on all sectors of people's lives. One of the sectors that greatly affected was the economic sector. Micro, small, and medium enterprises are one part of the community's economic activities that are trying to stay afloat, although not infrequently some are forced to go out of business. The use of electronic commerce is a step for SMEs to survive. This study uses qualitative methods with descriptive data analysis and is equipped with a literature study. The result shows that the technique of marketing products and services using e-commerce is a survival strategy for MSMEs during the pandemic.

show abstract

“…This consideration is seen from their weaknesses, such as the lack of mastery of technology, low availability of internet infrastructure, and the understanding of e-commerce by MSME actors, causing business actors to be reluctant to optimize ecommerce use in their business. However, the COVID-19 pandemic has made demands for the use of technology in marketing to become the new norm in businesses facing the COVID-19 pandemic (Kurniasih & Akbar, 2021).…”

Section: Introductionmentioning

confidence: 99%

Entrepreneurial Development in the Indonesian Economy

Iman¹,

Pasaribu²

2022

JRE

View full text Add to dashboard Cite

Information and Communication Technology (ICT) cannot be separated from society during the current COVID-19 pandemic. Whole activities are forced to distance themselves, so they have to rely on the existence of the internet, including economic activities through e-commerce. In Indonesia, many internet users become an opportunity for small entrepreneurs, namely Micro, Small, and Medium Enterprises (MSME), to implement e-commerce. ICT development in Indonesia also still shows inequality, especially between Indonesia's West and East Region. This condition indicates the diversity of characteristics in each region to the level of e-commerce application. This study aims to identify local spatial effects and factors that influence the percentage of MSMEs implementing e-commerce in each province in Indonesia in 2020 using Geographically Weighted Regression (GWR). The result shows spatial heterogeneity in the model of MSMEs implementing e-commerce percentage. Six regional groups have similar characteristics based on independent variables that significantly affect the MSMEs implementing e-commerce percentage. In most WRI and ERI areas, the MSMEs implementing e-commerce percentage is significantly influenced by the percentage of households that make purchases via the internet. GER of tertiary education growth has a significant effect on whole of the WRI areas. In contrast, the number of confirmed cases of COVID-19 has a significant effect on most of the ERI areas. Hence, the government needs to pay attention to characteristics of each region for encouraging the development of e-commerce for MSME players in Indonesia, especially after the COVID-19 pandemic.

show abstract

E-Commerce Pandemic Covid-19 Home Industries and SMEs

Cited by 6 publications

References 9 publications

Aplikasi Dynamic Cluster pada K-Means BerbasisWeb untuk Klasifikasi Data Industri Rumahan

Aplikasi Dynamic Cluster pada K-Means BerbasisWeb untuk Klasifikasi Data Industri Rumahan

The Implementation of E-Commerce for Micro, Small and Medium Enterprises (MSMES) in Covid 19 Pandemic Era

Entrepreneurial Development in the Indonesian Economy

Contact Info

Product

Resources

About