Hasyim Hasyim
Universitas Wira Bhakti, Indonesia

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Strategi Manajemen Menghadapi Tekanan Akademik: Analisis Kualitatif Penetapan Tujuan, Manajemen Waktu, Motivasi, Dan Pengendalian Stres Moh. Arga Wijana; Andi Imam Zulfikar; Yassir Yassir; Andi Haerani; Hasyim Hasyim
EKOMA : Jurnal Ekonomi, Manajemen, Akuntansi Vol. 5 No. 5: Juli 2026
Publisher : CV. Ulil Albab Corp

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56799/ekoma.v5i5.19462

Abstract

Penelitian ini bertujuan untuk mengeksplorasi secara mendalam bagaimana mahasiswa Universitas Wira Bhakti mengintegrasikan empat dimensi utama manajemen diri penetapan tujuan, manajemen waktu, motivasi diri, dan pengendalian stres sebagai strategi navigasi dalam menghadapi beban perkuliahan. Metode pendekatan kualitatif deskriptif dengan desain studi kasus. Pemilihan partisipan menggunakan teknik purposive sampling untuk memastikan informan memiliki karakteristik yang relevan dengan fenomena yang dikaji melalui wawancara dan diskusi kelompok terfokus (Focus Group Discussion), yang kemudian dianalisis menggunakan teknik analisis tematik untuk mengidentifikasi pola perilaku dan strategi manajemen diri yang dominan. Hasil penelitian menunjukkan bahwa manajemen diri beroperasi sebagai sistem yang terinterkoneksi, bukan dimensi yang terfragmentasi. Penetapan tujuan yang spesifik berfungsi sebagai katalisator dalam meningkatkan motivasi intrinsik, yang selanjutnya diimplementasikan melalui manajemen waktu yang disiplin. Temuan mengindikasikan bahwa mahasiswa dengan regulasi diri yang kuat memiliki tingkat self-regulated learning yang lebih tinggi, yang berkorelasi positif dengan efisiensi manajemen waktu, pengendalian stres berperan sebagai mekanisme pertahanan krusial, di mana manajemen waktu yang efektif terbukti menjadi strategi preventif dalam mereduksi stres akademik dan menjaga kesehatan mental. penelitian ini mengungkap adanya hambatan kontekstual berupa inkonsistensi implementasi strategi manajemen diri yang dipicu oleh faktor eksternal, seperti konflik jadwal antara beban kuliah dengan tanggung jawab pekerjaan paruh waktu serta distraksi lingkungan tempat tinggal yang tidak kondusif, yang memperlemah efikasi diri mahasiswa. Implikasi penelitian ini memberikan kontribusi praktis bagi Universitas Wira Bhakti dalam merancang sistem pendukung, seperti program mentoring atau lokakarya resiliensi akademik, guna meningkatkan regulasi diri mahasiswa.    
Product Quality Improvement through Effective Operational Management Hasyim Hasyim; Muhammad Bakri
Advances in Human Resource Management Research Vol. 2 No. 3 (2024)
Publisher : Yayasan Pendidikan Bukhari Dwi Muslim

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60079/ahrmr.v2i3.365

Abstract

Purpose: This study explores the impact of advanced technologies and strategies on supply chain optimization within operational management, aiming to understand how AI, ML, IoT, blockchain, effective inventory management, supplier relationship management, risk management strategies, and sustainability practices enhance supply chain performance. Research Design and Methodology: The study uses a qualitative research design, including semi-structured interviews with supply chain experts from various industries and document analysis. The thematic analysis identifies patterns and themes, offering a detailed understanding of factors contributing to supply chain optimization. Findings and Discussion: The study reveals advanced technologies significantly improve demand forecasting accuracy, real-time decision-making, and supply chain transparency. Strategies such as JIT, Lean Inventory, EOQ, and VMI optimize inventory levels and reduce costs. Strong supplier relationships and robust risk management strategies enhance supply chain resilience and agility, while sustainability practices lead to cost savings, improved brand reputation, and regulatory compliance. The findings support the hypothesis that technological integration and strategic management enhance supply chain performance, aligning with the resource-based view and dynamic capabilities theories. Implications: This research provides insights for businesses seeking to optimize their supply chains. It highlighting the need for a holistic approach integrating technological solutions with human and organizational factors. The findings offer practical guidance for implementing advanced technologies and strategies, contributing to scientific understanding and practical applications in supply chain management.
Advancements in Human-Computer Interaction: A Review of Recent Research Hasyim Hasyim; Muhammad Bakri
Advances: Jurnal Ekonomi & Bisnis Vol. 2 No. 4 (2024): July - August
Publisher : Yayasan Pendidikan Bukhari Dwi Muslim

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60079/ajeb.v2i4.327

Abstract

Purpose: This study explores advancements in Human-Computer Interaction (HCI), focusing on how AI and VR technologies can enhance long-term emotional engagement, cultural inclusivity, and accessibility. The research seeks to fill gaps in understanding HCI's emotional and social dimensions by addressing how these technologies affect users' cognitive and emotional well-being over time. Research Design and Methodology: The study uses a qualitative systematic literature review to analyze critical academic and industry research on AI, VR, and HCI. Through a thematic analysis, it identifies trends and challenges in designing more inclusive, emotionally responsive, and culturally adaptive systems. Findings and Discussion: The study reveals that while AI and VR technologies improve user engagement, there are significant gaps in cultural inclusivity and emotional responsiveness, especially for users with disabilities. It also proposes theoretical models integrating emotional and cultural factors into HCI design, enabling adaptive and personalized user experiences. Implications: This research shows the need for HCI technologies to prioritize emotional engagement and inclusivity. Practically, these findings can guide the development of more adaptive AI and VR systems that cater to diverse user needs, offering better accessibility and user satisfaction. Future research should explore empirical applications of these theoretical models in specific industries, such as healthcare and education.