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All Journal Jurnal Teknik ITS Scientific Journal of Informatics Jurnal Informatika Upgris Insect (Informatics and Security): Jurnal Teknik Informatika E-Link: Jurnal Teknik Elektro dan Informatika REMIK : Riset dan E-Jurnal Manajemen Informatika Komputer Journal of Intelligent Decision Support System (IDSS) TIN: TERAPAN INFORMATIKA NUSANTARA Jurnal Abdi Masyarakat Indonesia Jurnal Mandiri IT Brilliance: Research of Artificial Intelligence Jurnal Minfo Polgan (JMP) Jurnal Teknologi Sistem Informasi Jurnal Teknoif Teknik Informatika Institut Teknologi Padang Jurnal Informatika Teknologi dan Sains (Jinteks) PROSISKO : Jurnal Pengembangan Riset dan observasi Rekayasa Sistem Komputer JSITP Journal of Artificial Intelligence and Digital Business Jurnal Publikasi Teknik Informatika (JUPTI) Jurnal Masyarakat Madani Indonesia Jurnal Ekonomi, Teknologi dan Bisnis Innovative: Journal Of Social Science Research SOROT: Jurnal Pengabdian Kepada Masyarakat Jurnal Akademik Pengabdian Masyarakat Kadaster: Journal of Land Information Technology Svarga Pena: Jurnal Pengabdian Kepada Masyarakat
Bangkit Indarmawan Nugroho
STMIK YMI TEGAL
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Analisis Efektivitas Penggunaan AI dalam Desain UI/UX dengan Figma -, Muh Musthafa Yoshananda; Bangkit Indarmawan Nugroho; Zaenul Arif
RIGGS: Journal of Artificial Intelligence and Digital Business Vol. 4 No. 3 (2025): Agustus - October
Publisher : Prodi Bisnis Digital Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/riggs.v4i3.2906

Abstract

Penelitian ini ditujukan untuk menilai efektivitas penggunaan kecerdasan buatan (AI) dalam menunjang proses perancangan antarmuka dan pengalaman pengguna (UI/UX) melalui aplikasi Figma. Pendekatan yang digunakan mengacu pada Technology Acceptance Model (TAM) dengan melibatkan variabel Perceived Usefulness (PU), Perceived Ease of Use (PEOU), Attitude Toward Using (ATU), Behavioral Intention (BI), serta variabel efektivitas. Data penelitian diperoleh melalui penyebaran kuesioner kepada 60 responden yang terdiri dari desainer UI, pengembang web, serta desainer lepas. Analisis data dilakukan menggunakan uji validitas, reliabilitas, korelasi Pearson, dan regresi linier berganda dengan bantuan SPSS. Hasil analisis memperlihatkan bahwa variabel PU dan ATU berpengaruh signifikan terhadap efektivitas pemanfaatan AI dalam desain UI/UX berbasis Figma, sedangkan PEOU dan BI tidak menunjukkan pengaruh yang berarti. Nilai koefisien determinasi (R²) sebesar 21,7% mengindikasikan bahwa keempat variabel TAM mampu menjelaskan 21,7% variasi efektivitas penggunaan AI, sementara sisanya dipengaruhi oleh faktor lain di luar penelitian ini. Studi ini juga membandingkan desain yang dihasilkan secara manual dengan desain berbasis Artificial Intelligence, di mana penggunaan Artificial Intelligence terbukti lebih efisien namun masih memiliki keterbatasan pada aspek kreativitas dan detail desain. Kata kunci: Artificial Intelligence, Figma, UI/UX, Technology Acceptance Model, Efektivitas
Analisis Sentimen Ulasan Aplikasi TikTok di Google Playstore Menggunakan Algoritma Naive Bayes Maulana, M Taufik Fajar; Nugroho, Bangkit Indarmawan; Utami, Erni Unggul Sedya
RIGGS: Journal of Artificial Intelligence and Digital Business Vol. 4 No. 3 (2025): Agustus - October
Publisher : Prodi Bisnis Digital Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/riggs.v4i3.2962

Abstract

Aplikasi mobile seperti TikTok telah menjadi bagian penting dari aktivitas sehari-hari sehingga perlu dipahami perspektif pengguna melalui ulasan untuk meningkatkan kualitas aplikasi. Penelitian ini menganalisis sentimen ulasan pengguna TikTok di Google Playstore, mengevaluasi performa algoritma klasifikasi, serta mengidentifikasi dinamika sentimen dan kata kunci utama sebagai dasar pengambilan keputusan strategis. Sebanyak 3.000 ulasan dikumpulkan dengan teknik web scraping dan diproses melalui tahapan pre-processing teks seperti casefolding, penghapusan tanda baca, normalisasi, stopword removal, tokenizing, dan stemming. Fitur teks diekstraksi menggunakan metode TF-IDF, sedangkan analisis sentimen dilakukan dengan algoritma Naive Bayes. Hasil klasifikasi menunjukkan 54,6% ulasan bersentimen positif, 44,1% negatif, dan 1,4% netral. Model Naive Bayes menghasilkan akurasi 83% dengan nilai precision, recall, dan F1-score yang baik pada setiap kelas sentimen. Analisis temporal dari April hingga Juni 2025 menunjukkan adanya fluktuasi sentimen, sementara identifikasi kosakata dominan pada ulasan negatif memberikan masukan langsung bagi pengembang untuk perbaikan fungsi aplikasi. Penelitian ini menyimpulkan bahwa analisis sentimen efektif sebagai dasar strategi peningkatan kualitas aplikasi secara berkelanjutan.
Digital Marketing Efforts to Improve Products of Micro Small and Medium Enterprises (UMKM) in Tegal Santoso, Nugroho Adhi; Nugroho, Bangkit Indarmawan; Murtopo, Aang Alim; Surorejo, Sarif; Gunawan, Gunawan
Brilliance: Research of Artificial Intelligence Vol. 3 No. 2 (2023): Brilliance: Research of Artificial Intelligence, Article Research November 2023
Publisher : Yayasan Cita Cendekiawan Al Khwarizmi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/brilliance.v3i2.3646

Abstract

Digital marketing is promotional activities and market search through the media digitally online by utilizing various means such as social networks. The aim of this research is to increase knowledge and skills about digital marketing, especially social media, for Small and Medium Enterprises (SME) business people to increase their sales and profits. Digital marketing is the use of social media networks to carry out promotional activities and map digital markets. By using computers or other electronic equipment, digital marketing ideas can bring together geographically diverse parties. The aim of this research is to identify the most effective digital marketing tactics for the growth of MSMEs in Tegal City and Tegal Regency. The method used in this research is descriptive qualitative. With Data collection through observation, interviews, and secondary sources, such as books, journals, and articles, were used to collect information for this research. The results of this research show that the productivity growth of MSMEs in Tegal City and Tegal Regency has not been positive. Even when a website for an online business has been created, not everyone has implemented a digital marketing plan. It can be seen that digital marketing strategies have not received much attention from MSMEs in Tegal City and Tegal Regency. So it is hoped that MSMEs in Tegal City and Tegal Regency can adapt to changing times, namely selling online using digital marketing strategies.
Co-Authors -, Muh Musthafa Yoshananda Aang Alim Murtopo Ahmad Miftakhuddin Ana Rafhina Andriani, Wresti Andriani, Wresty Apriliani Maulidya Khasanah Ardhi Supratman Arif, Zaenul Asyfiya, Dzurrotu Umi Bayu Aji Santoso Bryan Adam Hidayatullah Defi Lugianti Dewi Srifani Erni Unggul Sedya Utami, Erni Unggul Sedya Errika Mutiara Dewi Fahmi Charish Mustofa Fajrul Falah Fatkhurrohman Fatkhurrohman, Fatkhurrohman Firmansyah, Akhmad Lutfi Gunawan Gunawan Gunawan , Gunawan Gunawan Gunawan Gunawan Gunawan Handayani, Sri Isnaeni Hamidah Maulana, M Taufik Fajar Muchamad Nauval Azmi Muhammad Farkhan Muhammad Syahrul Maulana Muhammad Syahrul Maulana Muhammad Wazid Khusni Naella Nabila Putri Wahyuning Naja Nindy Putri Lestari Nugroho Adhi Santoso Nugroho Adhi Santoso Nursahid, Wahyu Nurul fadillah, Nurul Pingky Septiana Pingky Septiana Ananda Rifki Dwi Kurniawan Rifki Dwi Kurniawan Romadhona, Wahyu Rozak, Fatkhur Santoso, Bayu Aji Santoso, Nugroho Adh Santoso, Nugroho Adhi Sarif Surorejo Sawaviyya Anandianskha Sawaviyya Anandianskha Sedya Utami, Erni Unggul Sedya Sekar Setyaningtyas Septiadi, Mohamad Rifki Syefudin Syefudin Syefudin Syefudin Syefudin Syefudin, Syefudin Taufiq Aziz Triwinanto, Mohammad Amin Umar Ali Ahmad Wahyu Romadhona Wresti Andriani Wresti Andriani Yoshananda, Muh Musthafa Zaenal Arif Zaenal Ma'arif Zaenul Arif Zaenul Arif Zaenul, Arif