Agha De Aghna Setya Budi
Universitas Muhammadiyah Surakarta

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Memahami Asumsi Klasik dalam Analisis Statistik: Sebuah Kajian Mendalam tentang Multikolinearitas, Heterokedastisitas, dan Autokorelasi dalam Penelitian Agha De Aghna Setya Budi; Lulu Septiana; Brampubu Elok Panji Mahendra
Jurnal Multidisiplin West Science Vol 3 No 01 (2024): Jurnal Multidisiplin West Science
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/jmws.v3i01.878

Abstract

Pelanggaran asumsi klasik dalam analisis statistik, terfokus pada multikolinearitas, heterokedastisitas, dan autokorelasi. menguraikan dampaknya, cara identifikasi, serta strategi penanggulangan untuk meningkatkan validitas analisis ekonometrik. Melalui pemahaman mendalam terhadap aspek-aspek ini, artikel bertujuan meningkatkan keakuratan dan reliabilitas interpretasi data. Dengan studi kasus dan contoh empiris, memberikan panduan praktis untuk mengatasi pelanggaran asumsi, memastikan hasil analisis yang lebih akurat. Kesimpulan artikel memberikan wawasan positif bahwa, dengan langkah-langkah tepat, penelitian ekonometrik dapat menghasilkan temuan yang lebih kuat dan relevan.
The Role of Human Capital Development in Enhancing Employee Performance: An Economic Perspective on Training, Remuneration, and Teamwork Agha De Aghna Setya Budi; Imronudin Imronudin
International Journal of Economics Development Research (IJEDR) Vol. 6 No. 6 (2025): International Journal of Economics Development Research (IJEDR)
Publisher : Yayasan Riset dan Pengembangan Intelektual

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37385/ijedr.v6i6.9558

Abstract

This research investigates how training, compensation, and teamwork impact employee performance at PT Dan Liris. Adopting a quantitative method within a positivist framework, the study surveyed permanent employees with at least six months of tenure across various departments, including production, quality control, maintenance, human resources, and administration. Data were gathered using a structured questionnaire based on a five-point Likert scale and analyzed through Partial Least Squares Structural Equation Modeling (PLS-SEM). Findings reveal that training, compensation, and teamwork all exert a significant positive effect on employee performance. Well-designed training programs enhance employees’ skills, knowledge, and adaptability, while equitable and competitive compensation boosts motivation and productivity. Additionally, effective teamwork underpinned by strong communication and collaboration promotes efficiency and collective accountability in meeting organizational objectives. The results indicate that the proposed model explains 64.8% of the variance in employee performance, demonstrating robust predictive capability. The study recommends that PT Dan Liris consistently improve training programs, uphold fair compensation practices, and foster a collaborative teamwork culture to optimize overall employee performance.