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All Journal Jurnal Ekonomi Pembangunan Economics and Digital Business Review International Journal of Social Science, Education, Communication and Economics Studi Ekonomi dan Kebijakan Publik Journal of Multidisciplinary Academic and Practice Studies
Murwiati, Asih
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Analisis Kemiskinan di Provinsi-Provinsi Pulau Sumatera: Pengaruh Tingkat Pendidikan dan Pengangguran (2018–2022) Ansyori, Adji; Murwiati, Asih
Economics and Digital Business Review Vol. 6 No. 1 (2025): Agustus - January
Publisher : STIE Amkop Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Penelitian ini menganalisis pengaruh pendidikan dan pengangguran terhadap kemiskinan di 10 provinsi Pulau Sumatera selama periode 2018–2022. Data panel digunakan untuk mengestimasi model Random Effect Model (REM), dengan persentase penduduk miskin (PM) sebagai variabel dependen, serta rata-rata lama sekolah (RLS) dan tingkat pengangguran terbuka (TPT) sebagai variabel independen. Hasil analisis menunjukkan bahwa pendidikan, yang diukur melalui RLS, memiliki pengaruh negatif dan signifikan terhadap kemiskinan. Hal ini mengindikasikan bahwa peningkatan pendidikan dapat secara efektif menurunkan tingkat kemiskinan di wilayah tersebut. Sebaliknya, pengangguran memiliki pengaruh positif terhadap kemiskinan, meskipun tidak signifikan secara statistik. Temuan ini menegaskan bahwa pendidikan memegang peranan kunci dalam upaya pengentasan kemiskinan, sedangkan pengaruh pengangguran terhadap kemiskinan memerlukan pendekatan tambahan, seperti penciptaan lapangan kerja berkualitas. Penelitian ini merekomendasikan peningkatan akses dan kualitas pendidikan sebagai strategi utama untuk mengurangi kemiskinan di Pulau Sumatera, disertai kebijakan yang mendukung penurunan tingkat pengangguran.
Pengukuran Tingkat Kerentanan Rumah Tangga Petani Kopi Dengan Menggunakan Livelihood Vulnerability Index (Lvi) Dan Strategi Coping Terhadap Perubahan Iklim (Studi Kasus : Pekon Air Naningan, Kecamatan Air Naningan, Tanggamus) Triana, Finny; Murwiati, Asih
Economics and Digital Business Review Vol. 5 No. 2 (2024): February - July
Publisher : STIE Amkop Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37531/ecotal.v5i2.1577

Abstract

Penelitian Perubahan iklim yang terjadi saat ini berdampak pada berbagai sektor termasuk sektor pertanian. Penelitian ini bertujuan untuk mengetahui tingkat kerentanan rumah tangga petani kopi dan keputusan stategi coping petani kopi di Pekon Air Naningan, Kecamatan Air Naningan, Kabupaten Tanggamus. Penelitian ini dilakukan di Pekon Air Naningan pada tanggal 26-29 Februari 2024, jumlah responden 90 rumah tangga petani kopi. Penelitian ini menggunakan metode analisis deskriptif kuantitatif dengan sumber data primer dan sekunder. Data dianilisis dengan perhitungan LVI mengunakan aplikasi excel dan menganalisis keputusan strategi coping masyarakat dengan analisis regresi logistic dan menggunakan aplikasi STATA 17. Hasil dalam penelitian ini menunjukan rumah tangga petani kopi Air Naningan berada pada kategori rentan dan variable bebas pendidikan, luas lahan, dan pengalaman usahatani terbukti memiliki pengaruh signifikan terhadap keputusan rumah tangga petani kopi untuk melakukan diversifikasi tanaman sebagai strategi coping.
Determinants of the Prevalence of Province Food Insufficiency in Indonesia in 2023 With A Quantile Regression Approach Puja Ramdani, Ahmad; Murwiati, Asih
International Journal of Social Science, Education, Communication and Economics (SINOMICS Journal) Vol. 4 No. 1 (2025): April
Publisher : Lafadz Jaya Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54443/sj.v4i1.483

Abstract

This study analyzes the determinants of food insufficiency prevalence across 34 provinces in Indonesia using a quantile regression approach. The research focuses on three key variables: the Food Security Index (IKP), rice productivity (PVP), and per capita food expenditure (PPM), using 2023 cross-sectional data from Statistics Indonesia (BPS). Results from ordinary least squares (OLS) and quantile regression at the 25th, 50th, and 75th percentiles reveal that the Food Security Index has a consistent and significant negative effect on food insufficiency across all quantiles, with the strongest influence observed at the higher quantile (τ = 0.75). In contrast, rice productivity is not statistically significant at any quantile, while per capita food expenditure is only marginally significant at the 25th quantile. These findings suggest that improvements in food security contribute significantly to reducing food inadequacy, especially in regions with high prevalence rates. However, the impact of rice productivity and food spending varies across different segments, implying that context-specific policies are needed. The study recommends targeted government interventions to enhance food access, affordability, and regional food security equity.
Measuring the achievements of smart economics in the smart village program in Lampung Province 2020-2024 Endriyon, Endriyon; Gunarto, Toto; Murwiati, Asih
Studi Ekonomi dan Kebijakan Publik Vol. 3 No. 1 (2024): Juli
Publisher : Penerbit Goodwood

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35912/sekp.v3i1.5260

Abstract

Purpose: This study aims to measure the impact of Smart Village dimensions on rural community welfare in Lampung Province (2020–2024), with a particular focus on the Smart Economy pillar and its integration with digital transformation and technosociopreneurship. Research/methodology: A quantitative approach was employed using multiple linear regression (Ordinary Least Squares) on data collected from 70 Smart Village locations across four districts in Lampung. The independent variables included six Smart Village dimensions: Smart People, Smart Governance, Smart Mobility, Smart Environment, Smart Living, and Smart Economy. The dependent variable was community welfare. Instrument testing and classical assumption tests (normality, multicollinearity, heteroscedasticity, and autocorrelation) were conducted to validate the model. Results: All six Smart Village dimensions showed a significant positive influence on community welfare. The Smart People dimension had the strongest effect (coefficient = 0.8489). The regression model demonstrated high explanatory power (R² = 0.9535) and satisfied all classical assumptions. Notably, Smart Economy initiatives—such as MSME digitalization, inclusive market access, and technology-based entrepreneurship—directly contributed to increased income, employment opportunities, and local economic growth. Conclusions: The application of Smart Village principles, particularly in economic transformation, significantly enhances rural welfare. Digital innovation, governance quality, and community capacity-building are critical drivers of inclusive development and service improvement. Limitations: The study is limited to Lampung Province and lacks comparative data from other regions. It also does not assess long-term or behavioral impacts. Contribution: This research provides empirical support for Smart Village policies, guiding investments in digital infrastructure, entrepreneurship training, and multi-stakeholder collaboration for rural development.
Measuring the achievements of smart economics in the smart village program in Lampung Province 2020-2024 Endriyono , Endriyono; Gunarto, Toto; Murwiati, Asih
Journal of Multidisciplinary Academic and Practice Studies Vol. 3 No. 3 (2025): August
Publisher : Goodwood Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35912/jomaps.v3i3.3524

Abstract

Purpose: This study aims to measure the impact of Smart Village dimensions on rural community welfare in Lampung Province from 2020 to 2024, focusing on the Smart Economy pillar and its integration with digital transformation and technosociopreneurship. Methods: A quantitative approach was applied using multiple linear regression (Ordinary Least Squares) on data from 70 Smart Village loci across four districts. The independent variables include Smart People, Smart Governance, Smart Mobility, Smart Environment, Smart Living, and Smart Economy, while the dependent variable is community welfare. Instrument validity and classical assumption tests ensured model reliability. Results: All six Smart Village dimensions significantly and positively affected community welfare, with Smart People having the highest coefficient (0.8489). The model showed strong explanatory power (R² = 0.9535) and passed all classical assumption tests. Smart Economy initiatives—digitalization of MSMEs, inclusive market access, and technology-driven entrepreneurship—directly enhanced household income, job creation, and local growth. Conclusion: Implementation of Smart Village principles, especially smart economic transformation, significantly improves rural welfare. Digital innovation, good governance, and community capacity-building strengthen service quality, economic inclusion, and sustainability. Limitation: The study is limited to Smart Village implementations in Lampung Province, excluding interregional comparisons and long-term behavioral aspects. Contribution: This study provides empirical evidence of Smart Village effectiveness in rural development, supporting policy formulation on digital infrastructure, entrepreneurship training, and stakeholder collaboration, while offering a replicable model for evaluating Smart Village outcomes in other regions.
Economic and Health Dimension of Female Labor Force Participation in Indonesia Kurniasari, Wulan; Budiarty, Ida; Murwiati, Asih
Jurnal Ekonomi Pembangunan Vol 14 No 1 (2025): Volume 14 Nomor 1 Tahun 2025
Publisher : Fakultas Ekonomi dan Bisnis Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jep.v14i1.3879

Abstract

Women and employment are a problem faced by both developed and developing countries. The view that women should work in the domestic sphere places women as weak and disadvantaged in society. This study aims to analyze and determine the role of the dimensions of economic and health in the female labor force participation during the 2017-2021 period in 34 provinces in Indonesia. Economic indicators are seen from female wages and female education. Meanwhile, health indicators are seen in female-headed households, fertility, and young women’s marriage. This study uses panel data analysis with the Fixed Effect Model (FEM). The study results show that the indicators in the economic dimension that have a significant relationship to the female labor force participation are female wages and female education. Then, an indicator in health that has a significant relationship is early-age marriage. Education emerges as a key finding in this study, thereby positioning the expansion of women's access to education as a central focus in efforts to enhance female labor force participation (FLFP).
Co-Authors Ansyori, Adji Budiarty, IDA Endriyon, Endriyon Endriyono , Endriyono Gunarto, Toto Kurniasari, Wulan Puja Ramdani, Ahmad Triana, Finny