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All Journal Jurnal Pengembangan Riset dan Observasi Teknik Informatika Teknik: Jurnal Ilmu Teknik dan Informatika Jurnal Ilmiah Informatika dan Komputer
Ryan Delon Pratama
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Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management

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IMPLEMENTASI GEMINI AI DALAM PENGEMBANGAN APLIKASI E-COMMERCE MOBILE GENERATE DESKRIPSI PRODUK Handoko, Rifky Mustaqim Handoko; Wahyuni Putra; Ryan Delon Pratama; Nova Noor Kamalasari; Viktor Handrianus Pranatawijaya
ProTekInfo(Pengembangan Riset dan Observasi Teknik Informatika) Vol. 11 No. 1 (2024)
Publisher : Universitas Serang Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30656/protekinfo.v11i1.8595

Abstract

Abstract— In the rapidly evolving digital era, e-commerce has become a crucial industry for effectively reaching consumers. This articlediscusses the implementation of artificial intelligence (AI) technology, specifically Gemini AI, in developing a mobile e-commerce applicationusing Flutter SDK. AI technology is utilized to automatically generate product descriptions based on user selections, enhancing efficiency anduser experience. The integration of Gemini AI API enables the application to provide informative and engaging product information. Theresearch findings indicate that the use of AI technology in e-commerce can add value in effectively and efficiently presenting productinformation to users, providing recommendations for the future development of e-commerce applications.Keywords— Artificial Intelligence, Product Description, Mobile, Flutter, Gemini
Penerapan Distribusi T-Student Untuk Penaksiran Interval Pada Data Sampel Kecil Menggunakan Python Ryan Delon Pratama; Atong Nazarius; Rifky Mustaqim Handoko; Jadiaman Parhusip
Jurnal Ilmiah Informatika dan Komputer Vol. 1 No. 2 (2024): Desember 2024
Publisher : CV.RIZANIA MEDIA PRATAMA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69533/atc8bx33

Abstract

Penelitian ini dilatarbelakangi oleh tantangan dalam analisis statistik dengan data sampel kecil, di mana estimasi parameter populasi kurang akurat akibat keterbatasan ukuran sampel dan ketidakpastian varians populasi. Tujuan penelitian adalah menerapkan distribusi t-Student sebagai solusi untuk mengestimasi interval kepercayaan pada data sampel kecil. Metode yang digunakan adalah pendekatan kuantitatif deskriptif dengan menganalisis data rata-rata lama sekolah tahun 2022 dari BPS. Simulasi data dilakukan menggunakan Python dengan pustaka numpy, pandas, dan scipy untuk menghitung statistik deskriptif dan inferensial. Perhitungan interval kepercayaan dilakukan dengan distribusi t-Student pada tingkat kepercayaan 95%. Hasil menunjukkan rata-rata lama sekolah sekitar 8 tahun, dengan interval kepercayaan [8,4; 8,7], berdasarkan ukuran sampel 549, rata-rata 8,57, dan deviasi standar 1,59. Visualisasi histogram menunjukkan mayoritas daerah memiliki rata-rata lama sekolah 7–9 tahun. Kesimpulan menyatakan distribusi t-Student efektif untuk data sampel kecil dan Python mendukung analisis yang efisien dan transparan.
Implementasi Blockchain untuk Keamanan Sistem Pembayaran Digital dan Optimasi Transaksi Keuangan (Studi Kasus Industri Fintech di Indonesia) Rifky Mustaqim Handoko; Budi Aulyansyah Ahmad Trisna; Ryan Delon Pratama; Jadiaman Parhusip
Teknik: Jurnal Ilmu Teknik dan Informatika Vol. 4 No. 2 (2024): Oktober : Teknik: Jurnal Ilmu Teknik dan Informatika
Publisher : LPPM Sekolah Tinggi Ilmu Ekonomi - Studi Ekonomi Modern

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/teknik.v4i2.589

Abstract

The implementation of blockchain technology has brought significant changes in the digital payment system, especially in the Indonesian fintech sector. This study aims to explore the benefits of blockchain in improving the security, efficiency, and transparency of financial transactions, while addressing the challenges faced by the fintech industry in Indonesia. With a qualitative descriptive approach supported by secondary data from industry reports, scientific journals, and case studies, this study shows that blockchain is able to reduce the risk of fraud through sophisticated hashing mechanisms and consensus algorithms. In addition, this technology speeds up the transaction process and reduces operational costs by eliminating the need for intermediaries. Immutable data security and high transparency help build user trust, expand financial inclusion, and create a more efficient fintech ecosystem. This study provides a theoretical and practical basis for the development of blockchain-based innovations in Indonesian fintech, which can contribute to the sustainable growth of the digital economy.
Co-Authors Atong Nazarius Budi Aulyansyah Ahmad Trisna Handoko, Rifky Mustaqim Handoko Jadiaman Parhusip, Jadiaman Nova Noor Kamalasari Rifky Mustaqim Handoko Viktor Handrianus Pranatawijaya Wahyuni Putra