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p-Index From 2020 - 2025
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All Journal Jurnal Teknik Mesin, Industri, Elektro dan Informatika Jurnal Riset Manajemen dan Ekonomi
Marsya Halya Alfrida
Unknown Affiliation
Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Electrical & Electronics Engineering Industrial & Manufacturing Engineering

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Strategi Pengembangan Bisnis Melalui Pendekatan Business Model Canvas pada Usaha Craftwave.id Mia Putri Yeza; Marsya Halya Alfrida; Fauzi Adi Saputra; Wien Kuntan
JURNAL RISET MANAJEMEN DAN EKONOMI (JRIME) Vol. 3 No. 1 (2025): JURNAL RISET MANAJEMEN DAN EKONOMI
Publisher : Institut Teknologi dan Bisnis (ITB) Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54066/jrime-itb.v3i1.2767

Abstract

This research explores the application of the Business Model Canvas (BMC) approach to develop Craftwave.id, a digital service provider specializing in website creation and Instagram content management. The study employs a qualitative descriptive methodology, emphasizing a comprehensive analysis of nine key elements of the BMC framework, including customer segmentation, value propositions, and revenue streams. Findings reveal that by optimizing digital marketing channels and strategic partnerships, Craftwave.id can effectively expand its market reach and improve operational efficiency. The implications suggest the potential for increased revenue and sustained competitiveness in the evolving digital landscape.
Aplikasi Website dengan Flask dan Open CV untuk Filtering Warna Bagi Penderita Buta Warna Mia Putri Yeza; Marsya Halya Alfrida; Anka Luffi Ramdani; Fauzi Adi Saputra; Capriandika Putra Susanto; Endang Purnama Giri; Gema Parasti Mindara
Jurnal Teknik Mesin, Industri, Elektro dan Informatika Vol. 3 No. 4 (2024): Desember : JURNAL TEKNIK MESIN, INDUSTRI, ELEKTRO DAN INFORMATIKA
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jtmei.v3i4.4536

Abstract

Color blindness is a hereditary vision disorder that impairs the ability to distinguish certain colors, significantly affecting daily activities and quality of life. This study aims to develop a web-based application using Flask and OpenCV to assist individuals with color blindness in identifying colors accurately. The application incorporates image processing technology to enhance color contrast and simulate real-time color perception adjustments. Employing the Waterfall model of the Software Development Life Cycle (SDLC), the study encompasses requirements analysis, system design, implementation, testing, and maintenance. Key features include Camify, for real-time color adjustments via device cameras, and Pickerify, for detecting colors in uploaded or live images. Testing reveals the application's effectiveness in providing improved color perception for users with various types of color blindness (e.g., Deuteranopia, Protanopia, Tritanopia). Despite minor limitations under extreme lighting conditions, the intuitive user interface and robust functionality make the application accessible to diverse user groups. Future enhancements include integrating AI for personalized filters and expanding compatibility with emerging technologies.
Co-Authors Anka Luffi Ramdani Capriandika Putra Susanto Endang Purnama Giri Fauzi Adi Saputra Gema Parasti Mindara Mia Putri Yeza Wien Kuntan