Laela Rahmawati
Universitas PGRI Yogyakarta

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Analysis of The Most Effective Advertising Platform Selection Decision Support System Using The Analytical Hierarchy Process (AHP) Method Laela Rahmawati; Wahit Desta Prastowo
Journal of Computing Innovations and Emerging Technologies Vol. 2 No. 1 (2026): Volume 2 No 1
Publisher : novamindpress

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64472/jciet.v2i1.20

Abstract

This study aims to determine the most effective digital advertising platform among Google Ads, Meta Ads, and TikTok Ads by applying a Decision Support System (DSS) using the Analytical Hierarchy Process (AHP) method. The research addresses the growing challenge faced by digital marketers in allocating advertising budgets effectively across multiple platforms with different strengths and audience characteristics. Analytical Hierarchy Process (AHP) was selected because of its ability to decompose complex multi-criteria decision-making problems into a structured hierarchical model. The analysis employed three main criteria: Cost, Target Audience, and Conversion. Pairwise comparisons and consistency testing were conducted based on expert judgments to ensure reliable evaluation results. The findings revealed that Conversion was the most influential criterion with the highest Eigen Vector (EV) value of 0.545, followed by Target Audience (0.273) and Cost (0.182). Through Global Synthesis analysis, Meta Ads achieved the highest total EV value of 0.3832, slightly outperforming Google Ads (0.3806), while TikTok Ads ranked third (0.2366). The results indicate that strong audience-targeting capabilities combined with competitive conversion performance make Meta Ads the most effective platform overall. This study provides strategic recommendations for advertisers and digital marketers to optimize advertising budget allocation based on business priorities and campaign objectives based on decision support system.
PERAN STUDENT ENGAGEMENT DALAM MEMEDIASI PENGARUH E-LEADERSHIP TERHADAP MOTIVASI BELAJAR MAHASISWA Murniady Muchran; Laela Rahmawati
Akmenika: Jurnal Akuntansi dan Manajemen Vol. 23 No. 2 (2026): AKMENIKA
Publisher : Universitas PGRI Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31316/akmenika.v23i2.10183

Abstract

Penelitian ini bertujuan untuk menganalisis pengaruh e-leadership terhadap motivasi belajar mahasiswa dengan student engagement sebagai variabel mediasi dalam konteks pembelajaran daring. Penelitian menggunakan pendekatan kuantitatif dengan desain eksplanatori. Data dikumpulkan melalui penyebaran kuesioner kepada 132 mahasiswa yang telah mengikuti pembelajaran daring pada Mata Kuliah Umum (MKU). Teknik analisis data menggunakan Structural Equation Modeling-Partial Least Squares (SEM-PLS) dengan bantuan SmartPLS. Hasil penelitian menunjukkan bahwa e-leadership tidak berpengaruh signifikan terhadap motivasi belajar mahasiswa. Sebaliknya, e-leadership berpengaruh positif dan signifikan terhadap student engagement, serta student engagement berpengaruh positif dan signifikan terhadap motivasi belajar. Hasil pengujian mediasi menunjukkan bahwa student engagement mampu memediasi secara penuh hubungan antara e-leadership dan motivasi belajar. Temuan ini mengindikasikan bahwa peningkatan motivasi belajar mahasiswa dalam pembelajaran daring tidak terjadi secara langsung melalui e-leadership, melainkan melalui peningkatan keterlibatan mahasiswa dalam proses pembelajaran. Nilai koefisien determinasi menunjukkan bahwa model mampu menjelaskan 47,0% variasi student engagement dan 43,5% variasi motivasi belajar. Penelitian ini memberikan implikasi bahwa dosen perlu mengoptimalkan praktik e-leadership yang mampu mendorong keterlibatan mahasiswa secara aktif dalam pembelajaran daring guna meningkatkan motivasi belajar. Dengan demikian, student engagement menjadi faktor kunci dalam keberhasilan implementasi e-leadership pada lingkungan pembelajaran digital.