Article Per Year (5 Year)
p-Index From 2021 - 2026
0.408
P-Index
This Author published in this journals
All Journal TIJAB (The International Journal of Applied Business) Enthusiastic : International Journal of Applied Statistics and Data Science
Amany, Nurfatimah
Unknown Affiliation
Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Engineering Mathematics

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

 1 
Is an "Affiliate Marketer a Decent Work for Generation Z in Indonesia?" Nugraha, Arlan; Aulia Pratiwi, Monica; Muharni Ardenis, Dwi; Amany, Nurfatimah; Ahmad, Sarah Sabir; Sukmawati, Anggraini
TIJAB (The International Journal of Applied Business) Vol. 8 No. 1 (2024): APRIL 2024
Publisher : Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20473/tijab.v8.I1.2024.51251

Abstract

Background: Affiliate marketers have grown significantly as they serve as promoters, connecting e-commerce platforms with social media audiences and providing profitable income opportunities. Objective: This study assesses the alignment between affiliate marketing practices in Indonesia and the decent work indicator as defined by the International Labor Organization (ILO). Additionally, the study aims to compare respondents' income before and after engaging in affiliate marketing. Method: This study employed random sampling to select a sample of 25 affiliate marketers from the Jabodetabek region in Indonesia. Participants responded to 23 questions developed based on the 11 Decent Work Indicators established by the ILO, utilizing a 1 to 4 ordinal scale. The research utilized k-nearest neighbors clustering analysis to categorize respondents into groups aligning with the ILO's decent work indicators. To assess changes in respondents' income, paired Wilcoxon tests were employed. Results: Exploratory data analysis indicates that Indicators 1 (Employment opportunities) and 7 (Equal opportunity and treatment in employment) align well with ILO's indicators. Cluster analysis confirms that Indicators 1 and 7 share a high-performance group. In contrast, Indicators 6 (Stability and security of work) and 9 (Social security) exhibit the lowest alignment. There is no statistically significant income difference before and after becoming affiliate marketers. Conclusion: Exploratory data analysis indicates that Indicators 1 (Employment opportunities) and 7 (Equal opportunity and treatment in employment) align well with ILO's indicators. Cluster analysis confirms that Indicators 1 and 7 share a high-performance group. In contrast, Indicators 6 (Stability and security of work) and 9 (Social security) exhibit the lowest alignment. There is no statistically significant income difference before and after becoming affiliate marketers. Keywords: Affiliate marketing, Decent work indicators, International Labor Organization, Social security
K-Means Clustering Application of Open ‎Unemployment in 2020 Caused by COVID-19 in West Java Province Ardiansyah, M. Ficky Haris; Amany, Nurfatimah; Anugrah, Cahya Ireno; Syafitri, Utami Dyah
Enthusiastic : International Journal of Applied Statistics and Data Science Volume 4 Issue 1, April 2024
Publisher : Universitas Islam Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20885/enthusiastic.vol4.iss1.art1

Abstract

West Java was the province with the highest unemployed rate during the COVID-19 pandemic. Significant increase of open ‎unemployment rate in West Java negatively impacts the national income. This study aims to apply the ‎clustering method using the k-means algorithm to determine priority clusters in West Java ‎Province by looking at the number of clusters in West Java’s city and the main characteristic of ‎each cluster. The clustering was conducted utilizing a k-means clustering algorithm which is grouping data based on similar ‎characteristics. The clustering results were evaluated using silhouette method. The results indicated that ‎two clusters were optimal. The clustering process using the k-means method showed that there were three clusters distinguishing the open unemployment rate during the pandemic in West Java Province in 2020. Cluster 1 ‎had a fairly low open unemployment rate due to the stalled service sector and low minimum city wage. ‎Cluster 2 had a high open unemployment rate due to the service sector and high minimum city wage. ‎Cluster 3 had medium open unemployment rate due to the service sector and also medium minimum city ‎wage. It suggests that cluster 2 is a priority cluster in dealing with the open unemployment rate.‎
Co-Authors Ahmad, Sarah Sabir Anggraini Sukmawati Anugrah, Cahya Ireno Ardiansyah, M. Ficky Haris Aulia Pratiwi, Monica Muharni Ardenis, Dwi Nugraha, Arlan Utami Dyah Syafitri