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All Journal JURNAL INSTEK (Informatika Sains dan Teknologi) Ebisnis Manajemen
Nakula Bintang Nashwandra
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Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Electrical & Electronics Engineering Engineering

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Membangun Bisnis Digital Filtrize menggunakan Metode Project Based Learning Algyon Faras; Nakula Bintang Nashwandra; Jauza Nadhifah; Wien Kuntari
Ebisnis Manajemen Vol. 2 No. 4 (2024): Ebisnis Manajemen
Publisher : Fakultas Ekonomi & Bisnis, Universitas Nusa Nipa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59603/ebisman.v2i4.599

Abstract

In the ever-evolving digital age, social media, especially Instagram, has become an important platform that not only serves as a communication tool, but also as an effective marketing tool. Instagram filters, as one of the main features, have evolved into an important creative and marketing tool for both individuals and businesses. Filtrize comes as a provider of Instagram filter creation services tailored to customer needs, with the aim of creating filters that are unique and in line with brand identity. However, in order to stay relevant and thrive amidst intense competition, Filtrize needs to adopt effective methods in its business development. One of the approaches used as a solution is the application of the Project Based Learning (PBL) method, which can integrate theory and practice in the development of this digital business. This research aims to explore how the application of the PBL method can be used to build and develop Filtrize's business. The methods used in this research include observation, literature study, and customer feedback to collect data on market trends, customer expectations, and product evaluation. The results of this research are expected to provide new insights into digital service business development in the creative field and produce a business model that is not only profitable, but also sustainable.
BLACK BOX TESTING USING EQUIVALENCE PARTITIONING TECHNIQUE ON BAKKAR WEBSITE Aisya Tyanafisya; Algyon Faras; Nakula Bintang Nashwandra; Reza Pratama; Raisa Mutia Thahir; Wicaksono, Aditya; Mindara, Gema Parasti
Jurnal INSTEK (Informatika Sains dan Teknologi) Vol 10 No 1 (2025): APRIL
Publisher : Department of Informatics Engineering, Faculty of Science and Technology, Universitas Islam Negeri Alauddin, Makassar, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24252/instek.v10i1.52951

Abstract

This study aims to evaluate the functionality of the Bakkar website using the Black Box Testing method and the Equivalence Partitioning technique. The primary focus of testing lies in the login and registration features, which are critical components of user interaction. Equivalence Partitioning was employed to divide input data into valid and invalid partitions, allowing for efficient test case coverage without sacrificing thoroughness. In total, 17 test scenarios were designed to represent various user input conditions. The results showed that 15 out of 17 test cases were executed successfully, resulting in a success rate of 88.24%. The two failed scenarios revealed that the system lacked clear feedback when handling invalid inputs, such as incorrectly formatted emails or insufficient password length. These outcomes highlight the need for better input validation and more informative error messages to improve system reliability and user experience. Overall, the findings demonstrate that the Equivalence Partitioning technique is effective for identifying functional issues in web applications and can be a practical approach for similar testing contexts.
Co-Authors Aditya Wicaksono Aisya Tyanafisya Algyon Faras Jauza Nadhifah Kuntari, Wien Mindara, Gema Parasti Raisa Mutia Thahir Reza Pratama