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All Journal Aptisi Transactions on Management Jurnal MENTARI: Manajemen, Pendidikan dan Teknologi Informasi
Dwi Andayani
University Of Raharja
Computer Science & IT Decision Sciences, Operations Research & Management Education Languange, Linguistic, Communication & Media Other

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Strategi Pengembangan Startup Teknologi di Indonesia Melalui IT Business Incubation: Technology Startup Development Strategy in Indonesia Through IT Business Incubation Padli, Ahmad; Khairunnisa, Novita; Khanza, Aulia; Andayani, Dwi; Halim, Erwin
Jurnal MENTARI: Manajemen, Pendidikan dan Teknologi Informasi Vol 3 No 1 (2024): September
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/mentari.v3i1.621

Abstract

Startup teknologi Indonesia semakin berperan penting dalam perekonomian digital di tengah pesatnya kemajuan teknologi dan meningkatnya kebutuhan akan inovasi di berbagai industri. Tujuan dari penelitian ini adalah untuk menemukan dan menilai strategi yang berguna untuk membangun startup teknologi melalui inkubasi bisnis berbasis teknologi informasi (IT Business Incubation). Analisis kualitatif dan studi kasus dilakukan pada berbagai inkubator bisnis yang berhasil di Indonesia. Hasil penelitian menunjukkan bahwa akses ke pendanaan, bimbingan dari mentor yang berpengalaman, jaringan bisnis yang luas, dan dukungan infrastruktur yang memadai adalah komponen penting untuk keberhasilan inkubasi startup. Selain itu, kolaborasi dengan lembaga pendidikan dan penelitian, serta kebijakan pemerintah yang mendukung, merupakan faktor penting dalam menciptakan ekosistem yang menguntungkan untuk pertumbuhan startup. Studi ini menemukan bahwa meningkatkan daya saing dan keberlanjutan startup teknologi di Indonesia memerlukan pendekatan holistik dan kerja sama antara berbagai pemangku kepentingan.
Leveraging AI-Powered Automation for Enhanced Operational Efficiency in Small and Medium Enterprises (SMEs) Andayani, Dwi; Indiyati, Dian; Mayang Sari, Meri; Williams, Jack; Yao, Goh
APTISI Transactions on Management (ATM) Vol 8 No 3 (2024): ATM (APTISI Transactions on Management: September)
Publisher : Pandawan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/atm.v8i3.2363

Abstract

This study explores the potential of AI-powered automation in enhancing opera- tional efficiency within Small and Medium Enterprises (SMEs). The primary objective is to identify how automation tools driven by artificial intelligence (AI) can streamline business processes, reduce operational costs, and improve productivity. The methodology includes a quantitative analysis of SMEs that have implemented AI-based solutions, supported by qualitative interviews with key stakeholders. The Results indicate significant improvements in operational workflows, particularly in areas such as supply chain management, customer service, and financial operations. The findings demonstrate that SMEs adopting AI technologies experience reduced human error, faster decision-making pro- cesses, and improved customer satisfaction. However, challenges such as initial investment costs and technical expertise remain. The study concludes that with proper implementation and strategic planning, AI-powered automation can be a key driver of success for SMEs in competitive markets.
Co-Authors Dian Indiyati Erwin Halim, Erwin Khairunnisa, Novita Khanza, Aulia Mayang Sari, Meri Padli, Ahmad Williams, Jack Yao, Goh