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Analysis of Economic Growth At Poverty Level With Meta-Analysis Hidayat, Nurul; Ilahi, Lailiy Kurnia; Najiatun, Najiatun; Arifah, Hertin Khalifatun Nisa
MediaTrend Vol 19, No 1 (2024): MARET
Publisher : Trunojoyo University of Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/mediatrend.v19i1.19075

Abstract

This study aims to determine the impact of economic growth on the poverty rate by meta-analysis using Stata 15.0 software. The number of observations used was 41 research articles in Indonesia which examined the relationship between economic growth and poverty levels. In general, the results of his research show a negative effect with a parameter coefficient value of -0.170 percent . This is influenced by the type of data and the number of observations that have a significant effect. In variable data types, if the data used is panel data it produces a stronger negative relationship than using time series or cross section data types . In the number of observations variable, the more the number of observations (N) used tends to produce a positive coefficient value, research that produces a negative coefficient value occurs in certain cases regarding the relationship of economic growth to the poverty level. Of the 41 research articles analyzed through the meta funnel plot of the standard error coefficient , it is known that there is publication bias, as seen from the study with a small sample size that is not symmetrically distributed.
Analysis of Digital Marketing Utilization: Prospects for Implementing Artificial Intelligence-Based Chatbots in Madura Snack Micro, Small, and Medium Enterprises (MSMEs) Firdaus, Jannatul; Arifah, Hertin Khalifatun Nisa; Noviantari, Tantri
Journal of Economics and Management Scienties Volume 8 No. 1, December 2025
Publisher : SAFE-Network

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/jems.v8i1.240

Abstract

The use of digital technology, particularly AI (Artificial Intelligence)-based chatbots, has great potential to improve efficiency and customer experience for Micro, Small, and Medium Enterprises (MSMEs). However, the implementation of this technology in MSMEs, especially in Madura specialty snack MSMEs, still faces various challenges. This study uses a qualitative approach with case studies to analyze the use of digital marketing with the prospect of implementing AI-based chatbots in Madura specialty snack MSMEs. Data was collected through interviews, observations, and documentation, then analyzed using NVivo 15 software. The results of the analysis show that although chatbots are already in use, their use is still considered limited by certain parties. The main benefits felt are work efficiency and quick responses. However, there are several major obstacles that hinder optimization, such as the limited understanding of MSME players, technical issues related to accuracy and language, as well as concerns about costs and resistance to change due to fear of losing personal interaction. Nevertheless, expectations for chatbot development vary, with business owners focusing on system integration, while consumers and employees expect product recommendation features. This study concludes that to optimize the use of this technology, continuous education and the availability of affordable chatbot solutions are needed.
Analisis Manajemen Risiko UMKM Rumah Donat di Lenteng Sumenep Berbasis ISO 31000: Identifikasi, Penilaian, dan Mitigasi Firdaus, Jannatul; Khalida, Nur Diana; Arifah, Hertin Khalifatun Nisa; Najiatun, Najiatun; Hidayat, Nurul
MES Management Journal Vol. 4 No. 2 (2025): MES Management Journal
Publisher : MES Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56709/mesman.v4i2.912

Abstract

Risk management plays a crucial role strategy for MSMEs because it can help them face operational challenges, minimize losses, and maintain business sustainability. This study aims to analyze risk management in Rumah Donat SMEs in Lenteng District, Sumenep, by adapting the ISO 31000 framework. The methods used are a qualitative approach through surveys, observations, in-depth interviews, and documentation. In addition, data analysis was carried out using the Miles & Huberman model combined with the preparation of a risk register and risk matrix. The results of the study identified four main risk categories, namely operational risks (increase in raw material prices, low product durability), strategic risks (limitations in digital promotion, seasonal market competition), human resource risks (lack of employee management), and natural and environmental risks (instability of raw material supply, power outages). Probability and impact analysis showed that seasonal market competition had the highest level of risk, followed by limitations in digital promotion. The proposed mitigation recommendations included establishing cooperation with suppliers, product innovation, employee training, expanding online marketing, improving business management, and developing a framework to address environmental risks. The study seeks to provide valuable contributions to theory as well as practical guidance for MSMEs in managing risks effectively and efficiently.
Financial Performance Management at PT Bank Rakyat Indonesia (Persero) Tbk Period 2018 - 2022 Anshori, Syaiful; Ainorrofiqie, Ainorrofiqie; Hidayat, Nurul; Arifah, Hertin Khalifatun Nisa; Zulkarnain, Rahmat
Journal of Management, Accounting, and Administration Vol. 2 No. 1: 2025
Publisher : STAI Nurul Islam Mojokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52620/jomaa.v2i1.186

Abstract

Bank financial institutions are one of the important factors for a country's economy which functions as a collector and channeler of public funds. The bank's ability to increase overall efficiency and generate profits is a reflection of the bank's good financial performance management. This research aims to analyze financial performance management at PT Bank Rakyat Indonesia (Persero) Tbk. 2018-2022 period, by analyzing the influence of Operational Costs on Operating Income (BOPO), Non-Performing Loans (NPL) And Loans deposit Ratio (LDR) to Return On Assets (ROA). The data used in this research is the Time Series of PT quarterly report data. Bank Rakyat Indonesia (Persero) Tbk. Which recorded in data FSA period first quarter 2018- quarterly IV 2022, with data analysis techniques Which used is multiple linear regression using SPSS version 26. The results of the research show that both partial and simultaneous costs Operational Operating Income (BOPO), Non Performing Loans (NPL), Loan Deposits Ratio (LDR) has a significant effect on Return On Assets (ROA) on PT. People's Bank Indonesia (Persero) Tbk.