Pengaruh Pelatihan dan Kompetensi terhadap Penghasilan melalui Motivasi Kerja sebagai Variabel Mediasi pada Peserta Alumni PT BISA AI Academy

Abstract

Abstract. This study analyzes the effect of training and competence on the income of PT BISA AI Academy alumni, both directly and through work motivation as a mediating variable. Indonesia's growing digital economy has widened the gap between digital talent supply and industry demand, making training and competence development strategic priorities for improving workforce income. The study employed a quantitative, explanatory approach. The sample consisted of 217 respondents drawn from a population of 1,777 alumni of Education Technology (EdTech)-based training conducted by PT BISA AI Academy during 2024–2025, determined using the rule-of-thumb approach for Partial Least Squares Structural Equation Modeling (SEM-PLS). Data were collected through an online questionnaire using a four-point Likert scale and analyzed with SEM-PLS. The results show that training has no significant effect on work motivation, while competence has a positive and significant effect on it. Work motivation positively and significantly affects income. Training has a significant but negative direct effect on income, whereas competence has the largest positive and significant direct effect. Work motivation does not mediate the effect of training on income but significantly mediates the effect of competence on income. These findings indicate that digital competence, rather than training participation alone, is the most consistent driver of both work motivation and income growth among alumni. Abstrak. Penelitian ini menganalisis pengaruh pelatihan dan kompetensi terhadap penghasilan alumni PT BISA AI Academy, baik secara langsung maupun melalui motivasi kerja sebagai variabel mediasi. Pertumbuhan ekonomi digital di Indonesia memperlebar kesenjangan antara ketersediaan talenta digital dan kebutuhan industri, sehingga pelatihan dan pengembangan kompetensi menjadi strategi penting dalam meningkatkan penghasilan tenaga kerja. Penelitian menggunakan pendekatan kuantitatif dengan jenis eksplanatori. Sampel berjumlah 217 responden dari populasi 1.777 alumni pelatihan berbasis Education Technology (EdTech) periode 2024–2025, ditentukan menggunakan pendekatan rule of thumb dalam Structural Equation Modeling berbasis Partial Least Square (SEM-PLS). Data dikumpulkan melalui kuesioner daring dengan skala Likert 4 poin dan dianalisis menggunakan SEM-PLS. Hasil penelitian menunjukkan pelatihan tidak berpengaruh signifikan terhadap motivasi kerja, sedangkan kompetensi berpengaruh positif dan signifikan. Motivasi kerja berpengaruh positif dan signifikan terhadap penghasilan. Pelatihan berpengaruh signifikan namun dengan arah negatif terhadap penghasilan, sementara kompetensi memiliki pengaruh langsung positif terbesar. Motivasi kerja tidak memediasi pengaruh pelatihan terhadap penghasilan, namun memediasi secara signifikan pengaruh kompetensi terhadap penghasilan. Temuan ini menunjukkan bahwa kompetensi digital, bukan sekadar keikutsertaan pelatihan, menjadi faktor paling konsisten dalam mendorong motivasi kerja dan peningkatan penghasilan alumni.