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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.
BLACK BOX TESTING WEBSITE RIMA BATIK DENGAN TEKNIK BOUNDARY VALUE DAN EQUIVALENCE PARTITIONING Nur Indah Chasanah; Mochammad Alwan Al Ataya; Mia Putri Yeza; Muhamad Ali Imron; Fauzi Adi Saputra; Rizki Juliansyah; Wicaksono, Aditya; Mindara, Gema Parasti
JATI (Jurnal Mahasiswa Teknik Informatika) Vol. 8 No. 6 (2024): JATI Vol. 8 No. 6
Publisher : Institut Teknologi Nasional Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36040/jati.v8i6.12115

Abstract

Pengujian perangkat lunak merupakan tahap penting dalam pengembangan perangkat lunak untuk memastikan aplikasi berfungsi sesuai spesifikasi dan bebas dari kesalahan. Penelitian ini berfokus pada pengujian website Company Profile Rima Batik menggunakan metode Black Box Testing dengan teknik Boundary Value Analysis (BVA) dan Equivalence Partitioning (EP). Masalah utama yang diangkat adalah potensi kesalahan fungsional pada website yang dapat mempengaruhi pengalaman pengguna. Tujuan penelitian adalah untuk mengevaluasi keandalan sistem dengan mendeteksi kesalahan pada fitur utama website. Pendekatan Software Testing Life Cycle (STLC) diterapkan dalam pelaksanaan pengujian. Teknik BVA digunakan untuk memeriksa nilai batas masukan, sedangkan teknik EP membagi rentang input menjadi partisi yang lebih kecil untuk efisiensi pengujian. Hasil penelitian menunjukkan bahwa metode EP memiliki tingkat kesesuaian sebesar 62,5% dari 8 pengujian, sedangkan metode BVA menunjukkan kesesuaian sebesar 64,70% dari 17 pengujian. Beberapa kesalahan, seperti validasi input dan pengelolaan data, berhasil diidentifikasi. Penelitian ini menyimpulkan bahwa kombinasi teknik EP dan BVA efektif dalam mendeteksi kesalahan perangkat lunak, memberikan wawasan untuk perbaikan lebih lanjut
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.