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All Journal Media Trend: Berkala Kajian Ekonomi dan Studi Pembangunan Neo-Bis IIJSE Journal of Management, Accounting, and Administration
Ainorrofiqie, Ainorrofiqie
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Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Social Sciences

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Strategi Marketing Mix (Product, Promotion, Price, Place) Dalam Meningkatkan Loyalitas Pelanggan Perspektif Umkm Sumenep Kota Ahmadi, Dedy; Ainorrofiqie, Ainorrofiqie; Santoso, Fuji
Neo-Bis Vol 13, No 2 (2024): DESEMBER
Publisher : Trunojoyo University of Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/nbs.v13i2.28905

Abstract

Penelitian ini bertujuan untuk menganalisis strategi marketing mix (product, promotion, price, place) dalam meningkatkan loyalitas pelanggan pada UMKM di Sumenep Kota dengan menggunakan metode Systematic Literature Review (SLR). Kajian ini mengintegrasikan hasil-hasil penelitian terdahulu yang relevan untuk mengidentifikasi faktor-faktor kunci yang memengaruhi loyalitas pelanggan melalui pendekatan pemasaran. Penelusuran literatur dilakukan melalui basis data daring dengan kriteria inklusi dan eksklusi yang ketat. Hasil penelitian menunjukkan bahwa kombinasi yang tepat dari elemen marketing mix dapat secara signifikan meningkatkan loyalitas pelanggan. Produk berkualitas, promosi yang efektif, harga kompetitif, dan distribusi yang strategis merupakan komponen utama yang berkontribusi pada keberhasilan UMKM. Implikasi praktis dari penelitian ini adalah perlunya UMKM untuk terus berinovasi dan menyesuaikan strategi pemasaran mereka dengan kebutuhan pasar.
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.
Lalabet Financial Analysis: Study of Islamic Economics at Micro Level Ainorrofiqie, Ainorrofiqie; Khasanah, Umrotul; Djalaluddin, Akhmad
Indonesian Interdisciplinary Journal of Sharia Economics (IIJSE) Vol 4 No 1 (2021): Sharia Economics
Publisher : Sharia Economics Department Universitas KH. Abdul Chalim, Mojokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31538/iijse.v4i1.1506

Abstract

This research aims to explore the model of financial management tradition Lalabet in the village of Babbalan District Batuan Sumenep. This study is based on the fact that occurred in the community about the implementation of traditions carried out by the heirs to family members who died. Interpretative qualitative research is used and an in-depth understanding of a problem that occurs is emphasized more. Based on the results of this study, the financial management tradition Lalabet can be done based on accounting equations. The accounts contained in the accounting equation is not used in its entirety and are reported as are generally financial statements. In this case, the source of funds in carrying out Lalabet tradition is sourced from personal money, money and donations from the family, money from Muslimat, debt, and money or goods from Lalabet's proceeds. The impact is the onset of debt both short-term and long-term. While the expenditure is in the form of costs in taking care of the body, costs for tahlilan (petto'arean), pa'polo, nyatos, nyataon, nyaebu, mangaji, ngin-tangin, nyalenin mayyid, and ajege makam (kep-sekep).
Poverty Analysis in Indonesia Based on AI (Artificial Intelligence) with ARIMA Method Al Aziz, Moh. Sofwan Kastir; Rahman, Hairul; Hidayat, Nurul; Arifin, Fauzi; Ainorrofiqie, Ainorrofiqie
MediaTrend Vol 20, No 2 (2025): OKTOBER
Publisher : Trunojoyo University of Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/mediatrend.v20i2.32521

Abstract

Poverty in Indonesia is a complex and multidimensional problem, because poverty levels can be an indicator of success for the country in terms of both its development and economy. This is an important point for the government to predict or predict poverty so that it can provide a more appropriate alternative. Based on this problem, a method is needed, namely using the forecasting method (Forcasting). In this study, researchers used a model from Box Jenkins, namely the Auto Regressive Moving Average (ARIMA) to predict the future level of poverty in Indonesia. AI (Artificial Intelligence) is not widely used in terms of economy, especially on poverty issues, but AI is one of the alternatives for countries to overcome poverty. Quantitative research in this study uses the ARIMA (Auto Regressive Moving Average) analysis. The poverty dataset used is sourced from the Central Bureau of Statistics (BPS) with test data from 2010 to 2023 to 2029. AI can provide alternative recommendations to deal with poverty in the future and in addition to looking at the forecast (Forcasitng) of poverty levels for the next 5 years. Conclusion: The government can make AI one of the tools to find solutions in the form of alternatives to solve poverty problems. Thus, through AI, it can be considered by the government in providing policies for poverty problems
Co-Authors Ahmadi, Dedy Al Aziz, Moh. Sofwan Kastir Anshori, Syaiful Arifah, Hertin Khalifatun Nisa Djalaluddin, Akhmad Fauzi Arifin Nurul Hidayat Rahman, Hairul santoso, fuji Umrotul Khasanah Zulkarnain, Rahmat