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All Journal Jurnal Sains Informatika Terapan (JSIT)
Firman Anugrah
Universitas Nusa Putra
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering

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Perancangan Dan Implementasi Antarmuka Dan Pengalaman Pengguna (UI/UX) Pada Website E-Commerce Furn Firman Anugrah; Somantri
Jurnal Sains Informatika Terapan Vol. 5 No. 1 (2026): Jurnal Sains Informatika Terapan (Februari, 2026)
Publisher : Riset Sinergi Indonesia (RISINDO)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62357/jsit.v5i1.965

Abstract

This study focuses on the design and implementation of User Interface (UI) and User Experience (UX) for the FURN e-commerce website at PT Nugraha Kreasi Digital to improve user convenience and overall shopping experience. The research applies an interactive design method with a qualitative descriptive approach, involving reference studies, needs analysis, wireframe development, user interface design, interactive prototyping, and design evaluation. The result is an interactive website prototype with clear navigation, consistent visual design, and intuitive user interaction, supported by features such as the BIG Menu, Call to Action (CTA) buttons, shopping cart, and catalog filtering. The design emphasizes usability, responsiveness, and visual consistency to ensure accessibility across different devices and user scenarios. This study is expected to serve as both an academic contribution and a practical reference for developing user-centered UI/UX designs on e-commerce websites.
Perancangan Dan Implementasi Antarmuka Dan Pengalaman Pengguna (UI/UX) Pada Website E-Commerce Furn Firman Anugrah; Somantri
Jurnal Sains Informatika Terapan Vol. 5 No. 1 (2026): Jurnal Sains Informatika Terapan (Februari, 2026)
Publisher : Riset Sinergi Indonesia (RISINDO)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62357/jsit.v5i1.965

Abstract

This study focuses on the design and implementation of User Interface (UI) and User Experience (UX) for the FURN e-commerce website at PT Nugraha Kreasi Digital to improve user convenience and overall shopping experience. The research applies an interactive design method with a qualitative descriptive approach, involving reference studies, needs analysis, wireframe development, user interface design, interactive prototyping, and design evaluation. The result is an interactive website prototype with clear navigation, consistent visual design, and intuitive user interaction, supported by features such as the BIG Menu, Call to Action (CTA) buttons, shopping cart, and catalog filtering. The design emphasizes usability, responsiveness, and visual consistency to ensure accessibility across different devices and user scenarios. This study is expected to serve as both an academic contribution and a practical reference for developing user-centered UI/UX designs on e-commerce websites.
Implementasi Chatbot Rekomendasi Produk Skincare Berbasis Website Menggunakan Metode NLP TF-IDF Dan Cosine Similarity Firman Anugrah; Nugraha; Indra Yustiana
Jurnal Sains Informatika Terapan Vol. 5 No. 3 (2026): Jurnal Sains Informatika Terapan (Oktober, 2026)
Publisher : Riset Sinergi Indonesia (RISINDO)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62357/jsit.v5i3.1256

Abstract

Perkembangan industri kosmetik memunculkan fenomena choice overload dan asimetri informasi, di mana konsumen awam sering menyampaikan keluhan menggunakan bahasa sehari-hari, sementara spesifikasi produk dijelaskan dengan terminologi medis. Hal ini menyulitkan konsumen dalam menemukan produk yang tepat. Penelitian ini bertujuan merancang agen percakapan cerdas (chatbot) berbasis website sebagai sistem rekomendasi skincare untuk menjembatani kesenjangan bahasa tersebut secara komputasional. Pengembangan sistem mengadopsi metode Software Development Life Cycle (SDLC) dengan model Waterfall. Basis data yang digunakan mencakup 280 data produk primer dari 11 merek terkemuka. Teks masukan pengguna diproses melalui tahapan Natural Language Processing (NLP). Teks tersebut kemudian dibobotkan menggunakan metode Term Frequency-Inverse Document Frequency (TF-IDF), dan tingkat kemiripannya dihitung menggunakan metrik Cosine Similarity. Hasil evaluasi menunjukkan sistem berhasil beroperasi dengan baik. Pengujian Black Box membuktikan seluruh fungsionalitas berjalan 100% tanpa galat (bug). Pengujian akurasi algoritma mencatatkan skor relevansi yang tinggi dalam merekomendasikan produk. Selain itu, hasil User Acceptance Testing (UAT) terhadap 33 responden memperoleh skor rata-rata 3,98 (kategori Baik), yang mengonfirmasi tingginya tingkat penerimaan pengguna. Sebagai kesimpulan, sistem rekomendasi ini terbukti efektif memecahkan masalah asimetri informasi dan memberikan solusi perawatan kulit yang terpersonalisasi.
Co-Authors Indra Yustiana Nugraha Somantri Somantri