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Analisis SWOT dalam Membangun Strategi Pemasaran yang Efektif pada Tagify Aisya Tyanafisya; Siti Farah Fakhirah; Asa Yuaziva; Wien Kuntari
Jurnal Transformasi Bisnis Digital Vol. 1 No. 6 (2024): November : Jurnal Transformasi Bisnis Digital (JUTRABIDI)
Publisher : Asosiasi Riset Ilmu Manajemen Kewirausahaan dan Bisnis Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/jutrabidi.v1i6.397

Abstract

This study aims to analyze the internal and external factors influencing the marketing strategy of Tagify, a business engaged in the design of lanyards and ID cards. Using a descriptive qualitative analysis method, the study collects secondary data from literature reviews related to marketing strategies and SWOT analysis. The findings reveal that Tagify's strengths lie in creative design, fast production capability, and flexibility in meeting customer demands. However, the main challenges are limited production capacity and suboptimal use of social media for marketing. Significant opportunities exist in the growing demand for custom products in corporate sectors and large events, while the primary threat comes from intense price competition. The implications of this research show that SWOT analysis is crucial in formulating effective marketing strategies to address challenges, seize available opportunities, and strengthen Tagify's competitive position in the market.
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.