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All Journal Journal of Artificial Intelligence and Digital Economy
Hindarto Hindarto
Muhammadiyah University of Sidoarjo, Indonesia

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WEBSITE DESIGN AND CONSTRUCTION SINGLE-PAGE AS A PROMOTIONAL MEDIA AT TBS (TATA BEAUTY SALON) WONOAYU DISTRICT, SIDOARJO Ahmad Ardiansyah Nugraha; Hindarto Hindarto; Ade Eviyanti; Novia Ariyanti
Journal of Artificial Intelligence and Digital Economy Vol. 2 No. 9 (2025): Journal of Artificial Intelligence and Digital Economy
Publisher : PT ANTIS INTERNATIONAL PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61796/jaide.v2i9.1548

Abstract

Objective: This study aims to design and implement a website-based digital marketing system as an effective promotional strategy for Tata Beauty Salon (TBS) in Wonoayu District, Sidoarjo. Background: Currently, TBS relies solely on direct interaction and word-of-mouth marketing, which limits the dissemination of information and hinders business growth and competitiveness. Method: The research applies the Waterfall model of the Software Development Life Cycle (SDLC) to develop a single-page website that presents all essential information—such as services, pricing, and contact details—on one interface for a seamless user experience. The website is built using HTML and CSS for layout and design, while PHP and JavaScript are used for functional programming. Results: The implementation of the website enhances TBS’s online visibility, simplifies customer access to information, and improves promotional reach. Novelty: This research demonstrates how a simple, user-friendly single-page website can serve as an effective digital marketing tool for small businesses, contributing to increased competitiveness and sustainable business growth in the beauty industry.
DESIGN AND IMPLEMENTATION OF A DIGITAL MARKETING INFORMATION SYSTEM FOR KOHAN_YA (HANS JAYA GARMENT SME) Ilham Rizky Almahdi; Hindarto Hindarto; Sumarno Sumarno; Hamzah Setiawan
Journal of Artificial Intelligence and Digital Economy Vol. 3 No. 1 (2026): Journal of Artificial Intelligence and Digital Economy
Publisher : PT ANTIS INTERNATIONAL PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61796/jaide.v3i1.1558

Abstract

Objective: This study aims to design and implement a web-based information system for KSI Hansjaya, a garment production business, to serve as both an information dissemination medium and an efficient online promotional tool. Method: The system development process followed the Software Development Life Cycle (SDLC) using the Waterfall model, which includes stages such as requirements analysis, system design, implementation, testing, and maintenance. The system accommodates two user categories: administrators and general users. Results: The system features were tested and evaluated through functionality testing and a questionnaire distributed to 20 respondents. The results showed that 70% of respondents strongly agreed, and 30% agreed that the system is feasible as a digital promotion medium, with all features functioning optimally according to user requirements. Novelty: This web-based system offers a responsive single-page website interface that allows administrators to manage product categories, details, and company contact information, while general users can access product information, ordering guidelines, and contact details. The developed website significantly supports KSI Hansjaya’s promotional activities and contributes positively to the business’s digital growth.
APPLICATION OF FUZZY LOGIC IN PREDICTING GROCERY STORE REVENUE Hamzah Dwi Kusuma; Hindarto Hindarto; Arief Senja Fitrani; Azmuri Wahyu Azinar
Journal of Artificial Intelligence and Digital Economy Vol. 3 No. 1 (2026): Journal of Artificial Intelligence and Digital Economy
Publisher : PT ANTIS INTERNATIONAL PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61796/jaide.v3i1.1559

Abstract

Objective: This study aims to predict grocery store income accurately using the Mamdani fuzzy logic method to address challenges caused by price fluctuations and market uncertainty in retail operations. Method: Data were collected through direct observation at a grocery store in Sidoarjo over one month, including variables such as the number of items sold, total price, and operational costs. Each variable was classified into fuzzy sets using triangular and shoulder-shaped membership functions. The fuzzy inference system consisted of 27 if–then rules, with output values determined through the Weighted Average defuzzification method. Results: Based on input data of 1,004 units sold, a total price of Rp. 14,124,500, and operational costs of Rp. 4,500,000, the system successfully predicted an income of Rp. 10,000,000. Evaluation using Mean Absolute Percentage Error (MAPE) indicated an error rate of 0%, signifying exceptional predictive accuracy. Novelty: The study demonstrates that fuzzy logic can serve as a highly effective decision-support tool for income prediction in small-scale retail businesses, providing a reliable framework for managing financial uncertainty.
Co-Authors Ade Eviyanti Ahmad Ardiansyah Nugraha Arief Senja Fitrani Azmuri Wahyu Azinar Hamzah Dwi Kusuma Hamzah Setiawan Ilham Rizky Almahdi Novia Ariyanti Sumarno Sumarno