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The Reaction of Poverty to Consumption and Inflation in Indonesia Rizkina, Azka; Nurhayati, Nurhayati; Rasyidin, M; Saputra, Al Mahfud; Ariga, Hijrah Purnama Sari
Electronic Journal of Education, Social Economics and Technology Vol 5, No 2 (2024)
Publisher : SAINTIS Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33122/ejeset.v5i2.241

Abstract

This study investigates the reaction of poverty to consumption and inflation in Indonesia, utilizing the Autoregressive Distributed Lag (ARDL) method to explore the dynamic relationships between these key economic variables. The analysis is based on time-series data spanning from 2012 to 2023, comprising a total of 340 samples from 34 provinces across Indonesia. The findings reveal that both consumption and inflation exert a significant influence on poverty levels, with effects observable in both the short and long term. Specifically, consumption and inflation demonstrate a statistically significant relationship at a 5 percent significance level in the short term. However, in the long term, inflation’s effect is identified at a slightly higher significance level of 10 percent, indicating its persistent but somewhat weaker influence compared to consumption. These results highlight critical insights into the economic mechanisms that drive poverty in Indonesia, underlining the pivotal roles of consumption patterns and inflationary pressures. The research emphasizes the importance of targeted economic policies to manage these variables effectively to reduce poverty. For instance, promoting sustainable consumption and mitigating inflation’s adverse impacts can foster greater economic stability and resilience among vulnerable populations. By addressing these factors, policymakers can implement more effective strategies to achieve equitable economic growth and social welfare.
The Influence of Zakat, Infaq, Sadaqah, and Waqf on Poverty in Aceh Province Nazar Rianza Maulana; M Rasyidin; M Saleh
Electronic Journal of Education, Social Economics and Technology Vol 6, No 2 (2025)
Publisher : SAINTIS Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33122/ejeset.v6i2.514

Abstract

Islamic social finance plays a crucial role in poverty alleviation. This study aims to analyze the impact of Zakat, Infaq, Sadaqah, and Waqf (ZISWAF) management on poverty levels in Aceh Province. Using a quantitative approach, this research processes numerical data and applies statistical analysis to measure the effectiveness of ZISWAF in poverty reduction. The data were obtained from the Aceh Open Data Web documentation covering the period from 2018 to 2024. The findings indicate that effective ZISWAF management can significantly reduce poverty rates. Proper distribution of Zakat, optimization of Infaq and Sadaqah, and productive utilization of Waqf contribute to improving community welfare. However, challenges remain in terms of management transparency, Islamic financial literacy, and coordination between managing institutions and the government. As a recommendation, this study suggests implementing a more structured ZISWAF management system, enhancing Islamic financial literacy in society, and strengthening collaboration between the government and managing institutions to improve the effectiveness of poverty alleviation programs. With the right strategies, ZISWAF can become a more powerful instrument in achieving social welfare in Aceh.
The Influence of Interest, Motivation, and Creativity on Household Industry Income in Bireuen Saprida Bachtiar; M. Rasyidin; Asrida Asrida
Electronic Journal of Education, Social Economics and Technology Vol 6, No 2 (2025)
Publisher : SAINTIS Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33122/ejeset.v6i2.528

Abstract

This study aims to analyze the influence of interest, motivation, and creativity on the income of household industries in Bireuen Regency. Household industries play a strategic role in supporting the regional economy; however, they still face various challenges that affect the income levels of business owners. This research employs a quantitative approach using multiple linear regression analysis to examine the relationships between these variables. Data were collected through questionnaires distributed to household industry entrepreneurs in Bireuen Regency and analyzed using classical assumption tests and hypothesis testing. The findings reveal that entrepreneurial interest does not significantly impact household industry income, indicating that a strong desire to run a business does not necessarily translate into higher earnings without the support of other factors such as access to capital and effective business strategies. Similarly, motivation does not make a significant contribution to income growth, even though it may enhance productivity. Additionally, creativity in running a business does not have a notable effect on income, possibly due to the lack of effective marketing strategies or limited market access. On the other hand, external factors such as government policies, infrastructure support, and access to financial resources play a more dominant role in determining household industry income levels.
The Role of Artificial Intelligence and Digital Information Systems in Enhancing Organizational Management Performance M Rasyidin; Asep Abdul Sofyan; Supiyandi Supiyandi; Djamaludin; Zulfikar
Jurnal Komputer Teknologi Informasi Sistem Komputer (JUKTISI) Vol. 5 No. 1 (2026): Juni 2026
Publisher : LKP KARYA PRIMA KURSUS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62712/juktisi.v5i1.1043

Abstract

The rapid development of Artificial Intelligence (AI) and Digital Information Systems has significantly influenced organizational management practices in various sectors. This research aims to analyze the role of Artificial Intelligence and Digital Information Systems in enhancing organizational management performance through improvements in operational efficiency, decision-making accuracy, employee productivity, communication effectiveness, and system reliability. The study employed a quantitative descriptive method involving organizational employees, managers, and information system administrators as research subjects. Data were collected through questionnaires, observations, and documentation analysis, then analyzed using descriptive statistical techniques. The findings indicate that the implementation of AI-supported Digital Information Systems improved operational efficiency by 23%, decision-making accuracy by 21%, employee productivity by 22%, communication effectiveness by 22%, and system reliability by 20%. The results demonstrate that AI technologies contribute significantly to automating operational processes, reducing human error, accelerating information processing, and supporting data-driven managerial decisions. In addition, integrated digital systems improved organizational coordination, transparency, and information accessibility. Despite several implementation challenges, such as infrastructure limitations and employee adaptation, organizations that successfully adopted AI technologies experienced measurable improvements in management performance and operational effectiveness. Therefore, Artificial Intelligence and Digital Information Systems can be considered effective technological solutions for supporting organizational competitiveness and sustainability in the digital era.
Pengaruh E-Commerce dan Integrasi Teknologi terhadap Keberlanjutan UMKM Pascabencana melalui Nilai Pelanggan Unggul Al Mahfud Saputra; M Rasyidin; Yusrawati Yusrawati; Azka Rizkina
Journal of Business and Economics Research (JBE) Vol 7 No 2 (2026): June 2026
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/jbe.v7i2.9817

Abstract

This study examines the effects of e-commerce adoption and technology integration capability on the sustainability of micro, small, and medium enterprises (MSMEs), with superior customer value serving as a mediating variable in a post-disaster context. The main issue addressed is the suboptimal use of digital technology by MSMEs in sustaining business operations following disasters, which often cause operational disruptions, declining demand, and limited market access. This study employed a quantitative explanatory approach involving 200 MSME owners, selected using purposive sampling. Data were analyzed using Partial Least Squares–Structural Equation Modeling (PLS-SEM) with SmartPLS software. The novelty of this study lies in examining the mediating role of superior customer value in explaining the relationship between digital transformation and MSME sustainability under crisis conditions. The results indicate that e-commerce adoption significantly affects superior customer value (β = 0.384; p < 0.001) but has no direct effect on MSME sustainability (β = 0.039; p = 0.492). Technology integration capability significantly affects both superior customer value (β = 0.446; p < 0.001) and MSME sustainability (β = 0.148; p = 0.013). Superior customer value also has a significant positive effect on MSME sustainability (β = 0.644; p < 0.001). The model explains 50.1% of the variance in superior customer value and 59.1% of the variance in MSME sustainability. These findings suggest that post-disaster MSME sustainability depends more on the ability to create customer value than on technology adoption alone.
Pengaruh Pengangguran dan Pertumbuhan Penduduk Terhadap Kemiskinan di Indonesia: Analisis Data Panel Tahun 2020-2024 Farahdiba Farahdiba; M Rasyidin; M Saleh
Ekonomi, Keuangan, Investasi dan Syariah (EKUITAS) Vol 7 No 3 (2026): February 2026
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/ekuitas.v7i3.8273

Abstract

This study aims to analyze the effect of unemployment and population growth on poverty levels in Indonesia. The research was conducted across 34 provinces during the 2020–2024 period using secondary data obtained from the Central Bureau of Statistics. The study employed a quantitative approach with panel data regression analysis. The best model selection was carried out using the Chow, Hausman, and Lagrange Multiplier tests, which indicated that the Random Effect Model was the most appropriate. The results show that unemployment has a negative but statistically insignificant effect on poverty levels. This finding suggests that an increase in unemployment does not necessarily lead to higher poverty rates, possibly due to the role of the informal sector and social protection programs that help maintain household purchasing power. In contrast, population growth has a positive and significant effect on poverty levels. Simultaneous testing shows that both variables jointly have a significant effect on poverty, with a coefficient of determination (R²) of 3.86 percent, indicating a relatively low contribution to variations in poverty. These results imply that other factors beyond the research variables, such as income inequality, education quality, and access to basic services, have a more dominant influence. The study emphasizes the importance of integrated policies focused on controlling population growth and improving job quality to sustainably reduce poverty rates.
Respon Kemiskinan dan Pendapatan Terhadap Penyalur Bank Perkreditan Rakyat Berdasarkan Demografi Indonesia Azka Rizkina; Nur Aidar; M. Rasyidin; Al Mahfud Saputra
JEMSI (Jurnal Ekonomi, Manajemen, dan Akuntansi) Vol. 12 No. 3 (2026): Juni 2026
Publisher : Lembaga Komunitas Informasi Teknologi Aceh (KITA), Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jemsi.v12i3.6483

Abstract

This study aims to examine the response of poverty and income to rural credit bank distributors based on Indonesian demographics. The data used is panel data, a combination of time series and cross-section data. The time series data used is data from 2014-2024 obtained from the Central Statistics Agency (BPS). The regions analyzed in this study are Indonesia, which covers 34 provinces. The total sample in this study is 374 samples. The analytical method in this study uses the Autoregressive Distributed Lag (ARDL) model and uses time series data. However, this study uses the ARDL model in the form of panel data. The use of the ARDL model is to see the role of time, theoretical justification and the relationship between one variable and another. The results of the study indicate that poverty and income have a long-term effect on consumer credit distribution. This is evidenced by the probability value of (0.000). Meanwhile, in the short term, only the income variable influences credit distribution. This can be seen based on the 10 percent probability value level, which is 0.08.