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All Journal Jurnal Akuntansi, Manajemen, Bisnis dan Teknologi Jurnal Inovasi Daerah Jurnal Manajemen dan Bisnis (J-Mabis)
Purwanti, Yuniasih
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Humanities Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Environmental Science Law, Crime, Criminology & Criminal Justice Public Health Social Sciences

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CLUSTERING ANALYSIS OF MULTIDIMENSIONAL POVERTY IN CENTRAL JAVA PROVINCE, INDONESIA Purwanti, Yuniasih
Jurnal Inovasi Daerah Vol. 2 No. 2 (2023): JID : Jurnal Inovasi Daerah, Desember 2023
Publisher : Badan Perencanaan Pembangunan Penelitian dan Pengembangan Daerah Kabupaten Cilacap

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56655/jid.v2i2.132

Abstract

In Indonesia, poverty continues to be a major issue. According to Statistics Indonesia, there were 9.78% of the population living in poverty in 2020, with Java Island accounting for 50% of the nation’s total poor people. Furthermore, poverty reduction is the primary concern due to Central Java’s high poverty rate, which is still higher than the national average, so it has become a shared challenge. This study measured poverty by clusters based on a variety of deprivations that residents of 35 regencies or municipalities in Central Java Province experienced. Additionally, 16 poverty indicators based on the criteria and income of the poor and underprivileged from the Ministry of Social Affairs comprised the variables used in this study. Moreover, by selecting the optimal cluster, characteristic poverty was obtained employing fuzzy C-means (FCM) as cluster analysis. In addition, each municipality/regency that shares a similarity indicator with another municipality/regency was categorized into one cluster. The clusters were fundamental to understanding the determinants of poverty and poverty alleviation programs. According to the clustering results, there were four clusters considered the best cluster, and it demonstrated that the indicators most associated with poverty were non-food expenditure, drinking water adequacy, access to sanitation facilities, the open unemployment rate, and television ownership.
Efforts to Improve the Economy of the Ambulu District Community Through the PNM Ulamm Institution in Financial Management Safrizal, Safrizal; Ningrum, Kristina Ayu; Purwanti, Yuniasih; Nasihin, Ihsan
Jurnal Akuntansi, Manajemen, Bisnis dan Teknologi Vol 5 No 1 (2025): Jurnal Akuntansi, Manajemen, Bisnis dan Teknologi Edisi Februari 2025
Publisher : Sekolah Tinggi Ilmu Ekonomi Mahaputra Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56870/74jg2v18

Abstract

The aim of this research is to provide an overview of how influential PNM ULaMM is in improving the economy of Ambulu sub-district. The Micro Capital Services Unit (ULaMM) is a service from PT Permodalan Nasional Madani (PNM) which was formed by the government with the aims and objectives of empowering micro and small businesses. One of them is in Ambulu District which needs capital for business, and existing micro-entrepreneurs to develop their businesses. This research aims to describe efforts to improve micro businesses in the area of financial management. The research results show that through this activity, the community experiences increased financial capacity, business growth and overall economic prosperity. Therefore, this research provides an important contribution to understanding the role of microfinance institutions in supporting efforts to improve the community economy at the local level. The implications of these findings can be a reference for related parties, including other micro institutions, to develop more effective strategies in improving the economic welfare of communities in similar areas. To obtain financing from the PNM ULaMM institution, the community does not need to be complicated by the requirements they have to fulfill as with banking institutions
Faktor Penentu Tingkat Kemiskinan di Indonesia Bagian Tengah Melliny, Vinny Dwi; Purwanti, Yuniasih; Akbar, Reza Aulia
JURNAL MANAJEMEN DAN BISNIS Vol 1 No 1 (2022): Jurnal Manajemen dan Bisnis (J-MaBis)
Publisher : Lembaga Penelitian dan Pengabidan kepada Masyarakat Universitas Kader Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54816/jmabis.v1i1.399

Abstract

Tujuan dari penelitian ini adalah untuk mengetahui faktor-faktor yang mempengaruhi kemiskinan di Provinsi Tengah di Indonesia (Studi kasus: Bali, Nusa Tenggara Barat dan Nusa Tenggara Timur). Metode yang digunakan adalah data panel, yaitu alat analisis yang digunakan untuk melihat pengaruh variabel bebas yaitu tingkat inflasi dan jumlah penduduk serta tingkat kemiskinan sebagai variabel terikat. Data yang digunakan dalam penelitian ini adalah data sekunder tiga provinsi di Indonesia tahun 2015-2019. Dari penelitian tersebut, Random Effect Model lebih memilih digunakan dalam penelitian ini menurut Hausman Test. Jumlah penduduk (X2) mempengaruhi variabel angka kemiskinan, terlihat dari pengujian yang menunjukkan tingkat signifikansi f <0,05. Dan dari R square diketahui bahwa variabel bebas dapat menjelaskan angka kemiskinan sebesar 67,4 persen dan sisanya sebesar 32,6 persen dijelaskan oleh variabel lain yang tidak diteliti dalam penelitian ini.
Pemodelan Pertumbuhan E-Commerce di Indonesia dengan Spatial Autoregresive Model (SAR) Purwanti, Yuniasih
Jurnal Akuntansi, Manajemen, Bisnis dan Teknologi Vol 3 No 1 (2023): Jurnal Akuntansi, Manajemen, Bisnis dan Teknologi - Edisi Februari 2023
Publisher : Sekolah Tinggi Ilmu Ekonomi Mahaputra Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56870/ambitek.v3i1.75

Abstract

The development of information technology has had a significant impact on the growth of e-commerce in Indonesia. However, the distribution of e-commerce is still concentrated in Java and Sumatera. It shows the inequality of the distribution of the e-commerce industry. Therefore, this study attempted to model the growth of e-commerce by considering the effect of dependence between regions. The variables use in this study included economic growth, base transceiver station (BTS), computer use, cellular phone ownership and the availability of strong signals (4G). The methods used were the Spatial Autoregressive Model (SAR) and the Spatial Error Model (SEM). The study's results showed that the SAR model was better than the SEM model. In addition, the test results indicated an autocorrelation relationship between provinces, which means that the growth of e-commerce in a province will be followed by an increase in e-commerce in the surrounding region. Meanwhile, the e-commerce growth in a province was affected by BTS, computer and telephone use, the availability of strong signals, and spatial residuals from other provinces that are close to each other.
Analisis Capaian Pembangunan Inklusif Hijau Pada Tingkat Kabupaten/Kota Di Jawa Timur dengan Balanced Inclussive Green Growth Index Purwanti, Yuniasih; Dianzah, Yoshi Evlyn Nathania
Jurnal Akuntansi, Manajemen, Bisnis dan Teknologi Vol 3 No 2 (2023): Jurnal Akuntansi, Manajemen, Bisnis dan Teknologi - Edisi Agustus 2023
Publisher : Sekolah Tinggi Ilmu Ekonomi Mahaputra Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56870/ambitek.v3i2.101

Abstract

Growth development is a multidimensional process that includes economic growth, the level of social welfare and environmental quality. This study aims to measure the achievement of balanced green economy inclusive growth at the district/city level in East Java in 2018 and 2021 using the concept of the Balance Inclusive Green Growth Index (BIGGI). Based on the results of the analysis conducted, it shows that the results of the BIGGI index in East Java are quite even. In general, the entire region of East Java has a high social dimension, except for districts on Madura Island. As for urban areas and industrial centers, BIGGI's achievements are influenced by the high value of the economic and social dimensions, but followed by the low value of the environmental dimension. The low value of the environmental dimension also affects the BIGGI pro forma imbalance in urban areas, where the BIGGI value is lower than the IGGI.
Co-Authors Akbar, Reza Aulia Dianzah, Yoshi Evlyn Nathania Melliny, Vinny Dwi Nasihin, Ihsan Ningrum, Kristina Ayu Safrizal Safrizal