Article Per Year (5 Year)
p-Index From 2021 - 2026
0.444
P-Index
This Author published in this journals
All Journal Pendas : Jurnah Ilmiah Pendidikan Dasar Journal of Computer Science and Technology Application
Farisha Andi Baso
Unknown Affiliation
Computer Science & IT Other

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

 1 
INVESTIGATING THE SIGNIFICANCE OF THE REFLECTION STAGE IN MICROTEACHING AT THE SIXTH SEMESTER OF STUDENT AT UNIVERSITAS MUHAMMADIYAH MAKASSAR Riska Amalia; Nunung Anugrawati; Farisha Andi Baso
Pendas : Jurnal Ilmiah Pendidikan Dasar Vol. 9 No. 3 (2024): Volume 09 No. 03 September 2024
Publisher : Program Studi Pendidikan Guru Sekolah Dasar FKIP Universitas Pasundan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23969/jp.v9i3.18590

Abstract

The research aimed to find out the significance of the reflection as one of stage when implementing microteaching practices. The subjects in this research were sixth semester students at Universitas Muhammadiyah Makassar who were selected using purposive sampling technique. This method of research was qualitative research with phenomena experienced by the subject of research. This research data was collected through semi-structured interview. Data analysis technique used data minimization, data visualization, and conclusion or interpretation. The results of this research showed that the reflection stage in microteaching was very important and beneficial to do because it could help students and teachers in evaluating and improving the quality of education. Therefore, it is important for educational institutions to continue to encourage and facilitate consistent and in-depth reflection practices, so that students can fully benefit from this process and achieve optimal academic and personal potential.
Accelerating Time to Market through Agile in AI Innovation Sibagariang, Susy Alestriani; Farisha Andi Baso; Nugroho Prihantoni; Rangi, Noah
CORISINTA Vol 3 No 1 (2026): February
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/f13hsp59

Abstract

Rapid digital transformation, driven by the increasing integration of Artificial Intelligence (AI) into digital products and services, has intensified competition across industries and positioned Time-to-Market (TTM) as a critical success factor for digital innovation projects. AI-oriented development requires rapid iteration, continuous data processing, and frequent model refinement, which are often difficult to support using traditional project management approaches, leading to delayed deployment and reduced adaptability. In this context, agile methodologies have emerged as a flexible and adaptive framework that aligns well with the iterative and data-driven nature of AI development. This study examines the impact of agile adoption on TTM performance in digital innovation projects, particularly those involving AI-enabled components, using a qualitative multiple-case study design based on semi-structured interviews with product managers, developers, and agile practitioners, complemented by analysis of project documentation, AI workflows, and delivery metrics. The findings show that organizations adopting agile methodologies achieve a development cycle time reduction of approximately 25% to 40% within the first two years of implementation, supported by key practices such as iterative sprint development, cross-functional collaboration between engineering and data teams, continuous feedback loops, and early testing of AI components. Overall, the study confirms that agile methodologies serve as an effective strategic mechanism for accelerating TTM in AI-driven digital innovation projects.
Co-Authors Nugroho Prihantoni Nunung Anugrawati Rangi, Noah RISKA AMALIA Sibagariang, Susy Alestriani