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Blockchain-Based TraditionalWeaving Certification and Elliptic Curve Digital Signature Rahman, Pradita Dwi; Wijayanto, Heri; Afwani, Royana; Wesdawara, Wirarama; Mardiansyah, Ahmad Zafrullah
MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer Vol 24 No 1 (2024)
Publisher : LPPM Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/matrik.v24i1.4337

Abstract

Traditional weaving in West Nusa Tenggara was essential to the region’s cultural heritage. Many local micro, small, and medium enterprises continued to practice traditional weaving using natural materials. However, the rise of synthetic materials threatened this tradition, making distinguishing between natural and synthetic woven fabrics difficult. This study aimed to develop a blockchain-based self-certification system to enhance traceability, security, and efficiency using Non-Fungible Tokens. The research method leveraged the Elliptic Curve Digital Signature Algorithm for user authentication and smart contracts to mint Non-Fungible Tokens, ensuring the authenticity and origin of each product.Each product’s metadata was signed with a digital signature that anyone could authenticate, and the outcome and the product metadata became a certificate. This study resulted in a web prototype with an easy-to-use interface that allowed artisans to create certificates and sell their registered works. This solution aimed to ensure the authenticity of traditional woven products by offering secure and transparent blockchain technology.
Front-End Development of an Android-Based Fish Price Prediction Application: PENGEMBANGAN FRONT-END APLIKASI PREDIKSI HARGA IKAN BERBASIS ANDROID Rahman, Pradita Dwi; Ratnasari, Dwi; Huwae, Raphael Bianco
Jurnal Begawe Teknologi Informasi (JBegaTI) Vol. 6 No. 2 (2025): JBegaTI
Publisher : Program Studi Teknik Informatika, Fakultas Teknik Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jbegati.v6i2.1150

Abstract

Program Magang dan Studi Independen Bersertifikat (MSIB) Bangkit Academy merupakan inisiatif yang bertujuan menyiapkan talenta digital Indonesia melalui tiga jalur pembelajaran, yaitu Mobile Development, Cloud Computing, dan Machine Learning. Pada akhir program, peserta diwajibkan menyelesaikan proyek capstone secara kolaboratif lintas jalur. Penelitian ini merupakan hasil dari proyek capstone dengan mengembangkan aplikasi MyRitime, yaitu aplikasi berbasis Android yang berfungsi untuk memprediksi harga ikan hingga 5 hari ke depan serta menyediakan berita terkini seputar dunia perikanan. Latar belakang pengembangan aplikasi ini adalah permasalahan nelayan Indonesia yang sering kali menjual hasil tangkapan dengan harga rendah kepada pihak kedua, sementara harga di pasaran jauh lebih tinggi. Metode pengembangan dilakukan melalui studi literatur, survei, wawancara dengan nelayan, perancangan antarmuka (front end), integrasi sistem dengan layanan cloud dan machine learning, serta pengujian menggunakan metode System Usability Scale (SUS).Hasil pengujian menunjukkan bahwa aplikasi memperoleh skor rata-rata 72 (grade C), yang menandakan aplikasi sudah layak digunakan meskipun masih terdapat ruang untuk perbaikan. Dengan adanya aplikasi ini, diharapkan nelayan dapat memperoleh informasi harga ikan secara lebih akurat dan transparan, sehingga dapat mengurangi ketimpangan harga serta berkontribusi pada peningkatan kesejahteraan nelayan.
Blockchain-Based TraditionalWeaving Certification and Elliptic Curve Digital Signature Rahman, Pradita Dwi; Wijayanto, Heri; Afwani, Royana; Wesdawara, Wirarama; Mardiansyah, Ahmad Zafrullah
MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer Vol. 24 No. 1 (2024)
Publisher : Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/matrik.v24i1.4337

Abstract

Traditional weaving in West Nusa Tenggara was essential to the region’s cultural heritage. Many local micro, small, and medium enterprises continued to practice traditional weaving using natural materials. However, the rise of synthetic materials threatened this tradition, making distinguishing between natural and synthetic woven fabrics difficult. This study aimed to develop a blockchain-based self-certification system to enhance traceability, security, and efficiency using Non-Fungible Tokens. The research method leveraged the Elliptic Curve Digital Signature Algorithm for user authentication and smart contracts to mint Non-Fungible Tokens, ensuring the authenticity and origin of each product.Each product’s metadata was signed with a digital signature that anyone could authenticate, and the outcome and the product metadata became a certificate. This study resulted in a web prototype with an easy-to-use interface that allowed artisans to create certificates and sell their registered works. This solution aimed to ensure the authenticity of traditional woven products by offering secure and transparent blockchain technology.