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Career Readiness Program: Soft Skill dan Edukasi Keuangan bagi Siswa SMK 3 Karawang Arina Hidayati; Triyono, Triyono; Tabah Rizki; Fitri Rasdayanti; Edward Kurniawan Saputra Letsoin; Wiwin Lestari
Jurnal Pengabdian Masyarakat - PIMAS Vol. 4 No. 2 (2025): Mei
Publisher : LPPM Universitas Harapan Bangsa Purwokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35960/pimas.v4i2.1836

Abstract

The implementation of community service in SMK N 3 Karawang was carried out by teachers from Horizon University Indonesia. SMK N 3 Karawang is one of the private secondary schools located in Kondangjaya area, East Karawang, Karawang City. Initial observations showed that career planning education is needed especially for vocational high school students. For this reason, the author strengthens as part of the academic world to help prepare students' careers, so that in the future it is hoped that the needs of the business world will successfully absorb labor from SMK graduates. This community service activity (PKM) is carried out with a continuous socialization method. There are two types of delivery methods, namely, lectures and discussions based on student center learning. Both the lecturer and the community service team give priority to hands-on activities for students. Thus, PKM participants not only understand in theory, but also understand the application in the industrial business world in the future.
AI POWERED PERSONALIZATION IN MARKETING: BALANCING CUSTOMER ENGAGEMENT AND PRIVACY CONCERNS Mulyono, Sri; Letsoin, Edward Kurniawan Saputra
Management Studies and Business Journal (PRODUCTIVITY) Vol. 2 No. 4 (2025): Management Studies and Business Journal (PRODUCTIVITY)
Publisher : Penelitian dan Pengembangan Ilmu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62207/nyp86r92

Abstract

The application of artificial intelligence (AI) in marketing strategies has increased rapidly, but there are significant concerns about data privacy that can erode consumer trust. This study aims to explore how AI-based personalization strategies can balance customer engagement and privacy concerns.This study focuses on developing a framework that integrates aspects of technology, consumer behavior, and privacy ethics in the context of digital marketing.This study used the Systematic Literature Review (SLR) approach with the PRISMA protocol to identify and analyze relevant literature. Data were collected from the Scopus and Web of Science databases, with thematic analysis to identify key patterns and themes.The findings suggest that transparency in data usage, user control over personal information, and application of data minimization principles are key strategies for building trust and increasing customer engagement. The study also identifies mediators such as trust and perceived risk that influence the relationship between AI personalization and privacy.These findings make a significant contribution to the development of digital marketing theory and offer practical guidance for marketers to design ethical and effective strategies, which can increase customer loyalty and strengthen long-term relationships.