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All Journal Prosiding National Conference for Community Service Project Jurnal Bisnis Inovatif dan Digital
Ulfatul Aini
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Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education

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Pembenahan Posyandu dan Penerapan Go Green di Happy Garden Ulfatul Aini; Sinta Nuriah
National Conference for Community Service Project (NaCosPro) Vol 1 No 1 (2019): The First National Conference of Community Service Project 2019 (Accepted Papers)
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat Universitas Internasional Batam

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Abstract

SEPORA activities are community service activities for Batam International University students. In the title of our article, which is improving the Posyandu and implementing go green in Happy Garden is a form of concern for comfort and the environment there. With the aim that the emergence of public awareness about the importance of greening, cleanliness, and care for their environment. With the hope that the surrounding community can continue to take the initiative to go green. the target of community service is the Happy Garden housing community in the Baloi Indah area of Batam. The stage that we do is hold a meeting with the head of the region what we can help to meet the needs of its citizens by conducting questions and answers and suggestions, then we conduct a field survey. The results of our community service activities gave satisfaction to residents of Happy Garden housing, we got good feedback from RW mothers and our work was truly satisfying. The Happy Garden posyandu looks new and is becoming green. I hope that the reforestation we provide can be maintained well and alive
Penerapan Metode RFM dengan Python dalam Segmentasi Pelanggan Andy Hermawan; Ravli Avdala Kahfi; Erwin Surya; Ulfatul Aini; Risky Hidayat
Jurnal Bisnis Inovatif dan Digital Vol. 1 No. 3 (2024): Juli : Jurnal Bisnis Inovatif dan Digital
Publisher : Asosiasi Riset Ilmu Manajemen Kewirausahaan dan Bisnis Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/jubid.v1i3.222

Abstract

In a competitive business environment, understanding customer behaviour and improving retention strategies are critical to a company's success. Many companies struggle to identify valuable customers, understand their needs, and develop effective marketing strategies. One method that has proven effective is Recency, Frequency, and Monetary (RFM) analysis, which measures customer value based on three dimensions: when the customer last made a purchase, how often they transact, and how much money they spend. This research focuses on applying the RFM method with Python for customer segmentation in a retail company. By analysing customer transaction data, this research shows how RFM analysis can provide deep insights into customer behaviour and assist in the development of more targeted marketing strategies. The ultimate goal is to improve customer retention and maximise the return on investment (ROI) of marketing activities. This research offers practical solutions to common challenges in customer relationship management and contributes to the development of more efficient data-driven marketing methods.
Co-Authors Andy Hermawan Erwin Surya Ravli Avdala Kahfi Risky Hidayat Sinta Nuriah