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All Journal International Journal Of Computer, Network Security and Information System (IJCONSIST)
Anisa Nurul Wilda
Universitas Hafshawaty Zainul Hasan
Computer Science & IT

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Design and Development of a GAS-Based E-Commerce Application with UI/UX Optimization Using a User-Centered Design Approach Wahyu Nofiyan Hadi; Umi Diantika Susilowati; Anisa Nurul Wilda; Moh. Fadel; Muhammad Ichsan; Syifa Ayu Via Mika Bahrul; Rojil Ghufron; Arya Dwi Nugraha; Yoga Ari Tofan
IJCONSIST JOURNALS Vol 7 No 2 (2026): March
Publisher : International Journal of Computer, Network Security and Information System

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33005/ijconsist.v7i2.191

Abstract

Micro, Small, and Medium Enterprises (MSMEs) offering custom embroidery and tailoring services face significant challenges with digitizing orders. Conventional e-commerce platforms primarily serve ready-made products. They lack flexibility for custom workflow options, like letting customers submit their own designs or bring in clothing for embroidery. MSMEs are often burdened by ongoing server maintenance costs. This study seeks to design and implement a web-based e-commerce information system using a User-Centered Design (UCD) approach. The case study is applied to Cindy Bordir in Probolinggo. To address the research gap regarding high-cost and rigid platforms, the application introduces a zero-cost serverless architecture. This uses Google Apps Script (GAS) and Google Spreadsheet as the database. A "Hybrid Checkout" flow bridges the digital catalog experience with localized negotiation habits via WhatsApp. Results show that applying UCD via a mobile-first interface, chip-style product variations, and micro-interaction feedback effectively support custom transaction needs. Functional testing confirmed a 100% success rate for all features. Usability evaluations using the System Usability Scale (SUS) achieved an "Excellent" score of 84.5, indicating high user satisfaction. The serverless architecture paired with the hybrid checkout approach proved to be a highly cost-effective and manageable solution for MSMEs. It eliminates traditional hosting fees while maintaining operational reliability.
Analyzing Public Sentiment Toward Probolinggo UMKM Products on TikTok Through Naïve Bayes Classification and Data Visualization Umi Diantika; Wahyu Nofiyan Hadi; Anisa Nurul Wilda; Moh. Fadel; Muhammad Ichsan; Rojil Ghufron; Syifa Ayu Mika Bahrul; Arya Dwi Nugraha; Sischa Wahyuning Tyas
IJCONSIST JOURNALS Vol 7 No 2 (2026): March
Publisher : International Journal of Computer, Network Security and Information System

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33005/ijconsist.v7i2.195

Abstract

The development of social media, particularly TikTok, has become one of the main platforms for the public to provide opinions and reviews on MSME products. This research aims to analyze public sentiment towards MSME products in Probolinggo based on user comments on TikTok using the Naïve Bayes Classification method. Research data was obtained through scraping TikTok comments, followed by preprocessing steps including cleaning text, case folding, tokenizing, stopword removal, and stemming. The data was then labeled as positive, neutral, and negative sentiment before feature extraction using TF-IDF. The classification process was carried out using the Naïve Bayes algorithm combined with SMOTE on training data to overcome class imbalance, and evaluated using pure test data. The results showed that the Naïve Bayes method was able to classify sentiment with a final accuracy rate of 66.67%. The analysis showed that neutral sentiment dominated public opinion with 365 comments (47.04%), followed by positive sentiment with 341 comments (43.94%) and negative sentiment with 70 comments (9.02%). Data visualization indicated that most users responded very positively to MSME Probolinggo products on TikTok. This research is expected to help MSME actors understand consumer perceptions and improve digital marketing strategies based on social media
Co-Authors Arya Dwi Nugraha Arya Dwi Nugraha Moh. Fadel Muhammad Ichsan Muhammad Ichsan Rojil Ghufron Sischa Wahyuning Tyas Syifa Ayu Mika Bahrul Syifa Ayu Via Mika Bahrul Umi Diantika Umi Diantika Susilowati Wahyu Nofiyan Hadi Yoga Ari Tofan