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All Journal AMMA : Jurnal Pengabdian Masyarakat
Sita Anggraeni
Universtas Nusa Mandiri
Humanities Chemistry Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Nursing

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Pelatihan Pembuatan Serta Merancang Konsep Affiliate Marketing Content Digital Bisnis Organisasi Menggunakan AI Bagi Ikatan Remaja (IKRAR 007) Sita Anggraeni; Syaifur Rahmatullah; Achmad Rifai
AMMA : Jurnal Pengabdian Masyarakat Vol. 4 No. 10 : November (2025): AMMA : Jurnal Pengabdian Masyarakat
Publisher : CV. Multi Kreasi Media

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Abstract

The younger generation, also known as Gen-Z, has been familiar with technology from an early age and is more attuned to the rapid pace of technological development. This has enabled the younger generation to easily understand technology and adapt it to their daily lives. Digital marketing has a significant impact on consumers' ease in deciding to purchase a product. With digital marketing, it is hoped that every business owner can develop and expand their business. Content Marketing provides relevant material in print and digital media to the target audience. Therefore, content needs to be tailored to the target market. Affiliate marketing can create digital marketing strategies that utilize affiliate links that are created and distributed to generate revenue from purchases. Affiliate marketing operates on a compensation basis for each sale. For example, when a business or brand sells a product or service, it will automatically be paid or receive a commission, and there will be mutual benefits for affiliates who showcase or promote the product. Members of the Youth Association (IKRAR 007) RW 07 have many positive activities within the organization but lack the skills to attract sponsors in various ways and lack the skills in the concept of creating creative digital affiliate marketing content for businesses that can quickly and accurately target many sponsorships. The purpose of this training is to understand the skills involved in creating digital affiliate marketing content for organizations using AI and to practice the steps involved in creatively developing content concepts that can quickly and accurately attract numerous sponsorships for the administrators and members of the Youth Association (IKRAR 007) RW 07.
Pelatihan Analisis Data Organisasi Dengan Menggunakan AI Untuk Pengambil Keputusan Bagi Pengurus JPRMI Jakarta (Jaringan Pemuda Dan Remaja Mesjid Indonesia) Sita Anggraeni; Syaifur Rahmatullah; Achmad Rifai
AMMA : Jurnal Pengabdian Masyarakat Vol. 5 No. 4 : Mei (2026): AMMA : Jurnal Pengabdian Masyarakat
Publisher : CV. Multi Kreasi Media

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Abstract

Conventional decision-making methods, which rely on intuition, past experience, and simple spreadsheet analysis, are proving increasingly inadequate. These approaches are limited in their ability to identify complex and hidden patterns within massive datasets. As a result, many organizations find themselves stuck making reactive, suboptimal, and even high-risk decisions, which can ultimately erode their competitive advantage. There is a significant gap between the potential of the data available and an organization’s ability to translate it into smart strategic decisions. The use of AI can analyze and modify the decision-making process by improving the efficiency and accuracy of information available to leaders, as well as assessing its impact on the quality of decisions made. This allows us to identify the challenges and obstacles leaders may face when implementing AI in decision-making, as well as strategies that can be applied to overcome these challenges. Ultimately, AI can provide practical recommendations for leaders and organizations on the best ways to leverage AI in the strategic decision-making process. The objective of this training is to develop skills in reading and analyzing organizational data using AI, as well as to understand the steps involved in quickly and accurately reading and analyzing organizational data using AI to support decision-making for the administrators and members of the Indonesian Mosque Youth and Teen Network (JPRMI).
Co-Authors Achmad Rifai Syaifur Rahmatullah