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All Journal International Review of Practical Innovation, Technology and Green Energy (IRPITAGE) Economic Development Progress
Yula Anggi Kristiani
Sekolah Tinggi Ilmu Ekonomi Bina Karya
Humanities Economics, Econometrics & Finance Energy Social Sciences Other

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Pengaruh Kualitas Produk, Citra Merek Dan Promosi Terhadap Keputusan Pembelian Produk Skintific : Studi Kasus pada Konsumen Skintific di Toko Nusantara Kota Tebing Tinggi Dian Purnama Sari; Dwi Nopitasari; Yula Anggi Kristiani
Economic Development Progress Vol. 4 No. 2 (2025): Economic Development Progress Edisi Desember 2025
Publisher : Sekolah Tinggi Ilmu Ekonomi Bina karya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70021/edp.v4i2.251

Abstract

Marketing theories play an important role in explaining consumer behavior, especially theories related to purchasing decisions. The purpose of this study is to test the hypothesis regarding the influence of product quality, brand image, and promotion on purchasing decisions for Skintific products. The results of the study indicate that: product quality does not have a significant influence on purchasing decisions with a T-statistic value of -0.295; brand image influences purchasing decisions with a T-statistic value of 1.895; promotion has a significant influence on purchasing decisions with a T-statistic value of 9.779; and simultaneously, the three variables (product quality, brand image, and promotion) have a significant influence on purchasing decisions with a T-statistic value of 37.447. This study involved 64 respondents as samples, and data processing was carried out using SPSS software version 25.0.
ENHANCING STATISTICAL LITERACY AND INVESTMENT LITERACY THROUGH THE LOVE STATISTICS VILLAGE PROGRAM (KELURAHAN CANTIK) IN PADANG HULU DISTRICT, TEBING TINGGI CITY Willy Cahyadi; Didik Gunawan; Yenni Arfah; Dedy Dwi Arseto; Aisyah Siregar; Augustama Sabam Pasaribu; Elina Maisyarah; Andika; Muhammad Fahrezi Agesi; Yula Anggi Kristiani; Muhammad Ridho Akbar Lubis
International Review of Practical Innovation, Technology and Green Energy (IRPITAGE) Vol. 6 No. 2 (2026): July-October 2026
Publisher : RADJA PUBLIKA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281/zenodo.21805506

Abstract

The Kelurahan Cantik (Love Statistics Urban Village) Program is an initiative of the Central Statistics Agency (Badan Pusat Statistik/BPS) aimed at enhancing the capacity of urban village officials in managing statistical data as a foundation for evidence-based development planning and policymaking. At the same time, the relatively low levels of financial and investment literacy among the community remain significant challenges that require continuous educational efforts. Therefore, this Community Service Program (Pengabdian kepada Masyarakat/PKM) was conducted to improve the statistical literacy of urban village officials and enhance public understanding of financial and investment literacy through collaboration among STIE Bina Karya, the Central Statistics Agency (BPS) of Tebing Tinggi City, and the Indonesia Stock Exchange (IDX). The program was implemented on July 14, 2026, at the Padang Hulu District Office Hall, Tebing Tinggi City, involving district officials, urban village officials, statistical agents, Statistics Corner (Pojok Statistik) ambassadors, and community representatives from Pabatu, Padang Merbau, and Tualang Urban Villages. The implementation methods included preparation, socialization, lectures, technical training, mentoring, statistical data presentation practices, interactive discussions, and activity evaluation. The results demonstrated that participants gained a better understanding of statistical data management and presentation techniques, recognized the importance of utilizing data as a basis for development planning, and improved their knowledge of the capital market, legal investment instruments, investment benefits, and investment risks. Overall, the program successfully strengthened collaboration among higher education institutions, government agencies, and financial institutions in promoting data-driven community empowerment.
Co-Authors Aisyah Siregar Andika Augustama Sabam Pasaribu Cahyadi, Willy Dedy Dwi Arseto Dian Purnama Sari Didik Gunawan Dwi Nopitasari Elina Maisyarah Muhammad Fahrezi Agesi Muhammad Ridho Akbar Lubis Yenni Arfah