Article Per Year (5 Year)
p-Index From 2021 - 2026
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All Journal Journal of Artificial Intelligence and Digital Business Journal of Education Religion Humanities and Multidiciplinary
Wahyuni Wahyuni
Universitas Pamulang
Religion Humanities Computer Science & IT Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Health Professions Nursing Social Sciences

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Implementation Of the C4.5 Algorithm for Web-Based Skincare Sales Classification at Sintia Distributor SR12 Wahyuni Wahyuni; Elfi Fauziah
RIGGS: Journal of Artificial Intelligence and Digital Business Vol. 5 No. 2 (2026): Mei-Juli
Publisher : Prodi Bisnis Digital Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/riggs.v5i2.12628

Abstract

Sintia Distributor SR12 is a business that distributes various skincare products. Sales records available at the store had not been optimally utilized to objectively identify products with high and low sales. This condition could affect inventory planning and sales evaluation because product performance was still assessed through manual observation. This study aimed to implement the C4.5 algorithm in a web-based system for classifying skincare product sales. Data were collected through observation, interviews, and literature review. The system was developed using Python Flask, MySQL, HTML, CSS, Bootstrap, JavaScript, and Chart.js. The classification process consisted of selecting a sales period, combining product and sales data, calculating the average quantity sold, forming class labels, calculating entropy, gain, split information, and gain ratio, and generating classification rules. Testing was conducted using Black Box Testing, White Box Testing with the Basis Path technique, and a user response questionnaire. The implementation processed 31 product records, consisting of 13 Best-Selling products and 18 Non-Best-Selling products. The initial entropy value was 0.981, while the quantity-sold attribute obtained a gain ratio of 1.000. All main system functions and internal classification paths operated according to the designed scenarios. User response testing involving five respondents and ten questions produced a score of 95.60%, categorized as Very Good. The developed system can assist the store in managing sales data and presenting period-based product classification information for inventory and sales strategy evaluation.
Penanaman Nilai Pendidikan Karakter Pada Peserta Didik Dalam Peningkatan Soft Skill dan Integritas Ika Nurjanah; Tarsih Tarsih; Wahyuni Wahyuni
Journal of Education Religion Humanities and Multidiciplinary Vol. 2 No. 1 (2024): Juni 2024
Publisher : CV. Rayyan Dwi Bharata

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57235/jerumi.v2i1.2008

Abstract

Tujuan dari penelitian ini adalah untuk mengetahui bagaimana bentuk penanaman nilai karakter pada peserta didik dalam meningkatkan softskill atau kompetensi dan juga nilai integritas atau budi pekerti pada peserta didik,dan penelitian ini dilakukan dengan metode penelitian kualitatif deskriptif,dan analisis data digunakan dengan cara mencari judul artikel lain yang relevan sehingga penelitian ini memberikan hasil yang signifikan bahwasanya penanaman nilai karakter guna meningkatkan kompetensi dan juga integritas pada peserta didik yang baik. Sehingga kesimpulan dari penelitian ini secara menyeluruh pentingnya penanaman nilai karakter tersebut memberikan dampak yang baik kepada peserta didik sehingga peserta didik juga mampu meningkatkan kompetensi yang dia dimiliki dan juga bagaimana menumbuhkan nilai integritas yang terdiri dari kejujuran,rasa solidaritas,sikap sopan santun kepada semua kalangan.
Co-Authors Elfi Fauziah Ika Nurjanah Tarsih Tarsih