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All Journal Jurnal Valuasi : Jurnal Ilmiah Ilmu Manajemen dan Kewirausahaan Mamangan Social Science Journal
Yuningsih, Irma
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Humanities Economics, Econometrics & Finance Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Social Sciences

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ANALISA PENGARUH LITERASI KEUANGAN TERHADAP PENGELOLAAN KEUANGAN UMKM DI KOTA SERANG Hidayat, Ardi; Yuningsih, Irma
Jurnal Valuasi: Jurnal Ilmiah Ilmu Manajemen dan Kewirausahaan Vol. 4 No. 1 (2024): Jurnal Valuasi : Jurnal Ilmiah Ilmu Manajemen dan Kewirausahaan
Publisher : LP2M Universitas Bina Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46306/vls.v4i1.244

Abstract

Micro, Small and Medium Enterprises are business sectors that play an important role for the people of Serang City, because MSMEs are able to improve economic welfare. The large number of micro-traders today has been able to help provide business opportunities and reduce unemployment. The purpose of this study is to know and analyze what the application of financial management is like for MSMEs in Serang City. This research method is qualitative research. Data sources were obtained from questionnaires, interviews and observations. The population in this study was 100 and a sample of 20 respondents of MSME actors in Serang City was taken to represent the total number of the population. Financial literacy in MSMEs in Serang City is included in the low category (32%), that the level of financial literacy of business owners is low so that it affects the ability to manage finances. This is reflected in the results of the financial attitude of business owners where they are limited to recording as they remember, business financial receipts and expenditures without being accompanied by the storage of supporting documents. This needs to increase knowledge about finance to help MSMEs in managing finances. The low financial literacy of MSMEs in this study is influenced by several things, namely the level of education, receipt of information about finance, and the age of MSME actors. Financial management for MSMEs in Serang City In the Budget Use indicator, 57% have applied, only (8.5%) have applied, which means that MSMEs in Serang City have not applied, reporting indicators (0%) have not implemented reporting, and for control indicators only (19%) have applied
Comparison of Methods for Applying the Data Mining Clustering Concept to Banten Provincial Government Poverty Data: Systematic Review Yuningsih, Irma; Dwi Aryani, Mina Winawati; Imelda, Imelda
Jurnal Mamangan Vol 13, No 1 (2024): Jurnal Ilmu Sosial Mamangan Accredited 2 (SK Dirjen Ristek Dikti No. 0173/C3/DT
Publisher : LPPM Universitas PGRI Sumatera Barat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22202/mamangan.v13i1.8074

Abstract

An in-depth understanding of the phenomenon of poverty in Banten Province is the key to formulating effective strategies in overcoming this problem. In general, poverty in this area is caused by several interrelated and complex factors. This research provides a comparative analysis of the application of clustering data mining methods in calculating population poverty data in certain regions or provinces, especially Banten. This research aims to assess the consistency and effectiveness of various clustering methods used in previous research. Using a qualitative approach with a literature review, secondary data from relevant research was collected through systematic searching, reading, and note-taking. The data collected is then carried out through a process of data collection, filtering, presentation and drawing conclusions. The results show that most of the literature reviews show similar results regarding the effectiveness of various clustering methods in analyzing poverty data in Banten. This shows that there is a consensus among previous studies regarding the efficacy of clustering data mining techniques in overcoming problems related to poverty in the region. These findings contribute to a deeper understanding of the methodology used in poverty analysis and provide insights for policy makers and researchers to develop more effective strategies in poverty alleviation efforts. The conclusion of this research is that clustering data mining in analyzing poverty data in Banten Province has shown quite high consistency and effectiveness. Various literature studies that have been reviewed show that various clustering methods that have been applied previously provide similar results in identifying poverty patterns, understanding socio-economic structures, and providing valuable insights for developing more targeted policies.
Co-Authors Ardi Hidayat Dwi Aryani, Mina Winawati