Wifqi Auliana Ahmad, Erna Setyowati, Gilang Adi Sasongko

Kelayakan Aplikasi Hestigo Berbasis Android sebagai Penyedia Jasa Makeup artist

Introduction

Kelayakan aplikasi hestigo berbasis android sebagai penyedia jasa makeup artist. Temukan dan pesan jasa makeup artist dengan mudah melalui aplikasi Android HESTIGO. Aplikasi ini menyediakan fitur gambar jelas & peta lokasi. Riset membuktikan kelayakan HESTIGO untuk pemesanan makeup.

Abstract

Promosi jasa makeup artist melalui akun media sosial pribadi seperti Instagram menjadikan sulitnya mencari jasa makeup artist sesuai keinginan dalam satu tempat. Peneliti ini mengembangkan aplikasi yang telah dibuat dari penelitian terdahulu dengan menambah resolusi gambar agar lebih jelas, dan menambah fitur maps untuk memudahkan pelacakan lokasi. Tujuan penelitian untuk mengetahui kelayakan aplikasi HESTIGO berbasis android sebagai penyedia jasa makeup artist. Pengumpulan data menggunakan metode observasi, angket, dan dokumentasi. Hasil penelitian berupa produk aplikasi bernama HESTIGO pengguna dan HESTIGO Partner. Hasil dari uji coba awal atau validitas oleh 3 panelis ahli pada aplikasi HESTIGO dengan rata rata 90,27% serta HESTIGO Partner dengan rata-rata 83,33% dan hasil dari uji coba terbatas mendapatkan hasil dengan rata rata 87,33% pada aplikasi HESTIGO dan 81,66% untuk aplikasi HESTIGO Partner. Simpulan menunjukkan bahwa aplikasi yang dikembangkan layak digunakan sebagai pemesanan jasa makeup.

Review

The paper addresses a highly relevant issue within the burgeoning gig economy and personal services sector: the fragmented discovery of makeup artist (MUA) services via individual social media accounts. The development of the Android-based Hestigo application, building upon prior research by enhancing image resolution and integrating mapping features, offers a promising solution to streamline the search and booking process. The stated objective to assess the feasibility of this application as a platform for MUA services is timely and directly responds to a contemporary market need, making the study's contribution immediately apparent and practical. The research employed a multi-faceted data collection approach, utilizing observation, questionnaires ("angket"), and documentation, which suggests a comprehensive effort to gather relevant information. The core output is the HESTIGO user application and its counterpart, HESTIGO Partner. Crucially, the study provides quantitative evidence of the application's readiness through initial validity tests by three expert panelists, yielding high average scores of 90.27% for the user app and 83.33% for the partner app. These figures are further supported by a limited trial, where the HESTIGO app achieved an average of 87.33% and HESTIGO Partner 81.66%. The consistent high scores across both validity and limited trials robustly support the conclusion that the developed application is deemed feasible for use in booking MUA services. While the abstract clearly demonstrates the application's technical feasibility and initial user acceptance, the review would benefit from a deeper exploration into the qualitative aspects of user experience and the practical implications for both users and MUA partners. Future iterations or analyses could delve into user satisfaction beyond mere feasibility, the effectiveness of the new features (e.g., how the improved image resolution impacts booking decisions, or the efficiency of the maps feature), and potential business models or scalability challenges. Furthermore, detailing the criteria used by the expert panelists and the demographics of participants in the limited trial would strengthen the reported validity and generalizability of the findings. Nonetheless, this study provides a solid foundation for the deployment of a much-needed service, paving the way for future enhancements and broader adoption.

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