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Blockchain sebagai Inovasi Perlindungan Hak Cipta Karya Digital: Studi pada Ekonomi Kreatif Indonesia Martina Grecia Wijaya Nadeak; Sebrina Marsya Simanullang; Irvan Budi Butar Butar; Fince Aprilman Waruwu; Adinda ihdina Surbakti; Nopentri Panjaitan; Nadyta Situmorang; Sudarto Sudarto
Jurnal Media Informatika Vol. 7 No. 1 (2026): Edisi Januari - Februari
Publisher : Lembaga Dongan Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55338/jumin.v7i1.7686

Abstract

Perkembangan teknologi digital memberikan peluang besar bagi pertumbuhan sektor ekonomi kreatif di Indonesia, tetapi juga menciptakan tantangan besar dalam melindungi hak cipta. Masalah seperti plagiarisme, pembajakan, dan pencurian karya digital semakin meresahkan, menunjukkan bahwa sistem perlindungan hak cipta yang ada belum bisa menyesuaikan diri dengan kecepatan dan sifat lintas batas di era digital. Penelitian ini bertujuan untuk menganalisis peran teknologi blockchain sebagai solusi inovatif dalam melindungi hak cipta karya digital di sektor ekonomi kreatif Indonesia. Penelitian ini menggunakan metode studi kepustakaan dengan pendekatan kualitatif deskriptif, yaitu dengan menganalisis berbagai literatur ilmiah dan laporan industri terkini. Hasil penelitian menunjukkan bahwa blockchain mampu memberikan sistem pencatatan hak cipta yang transparan, permanen, dan sulit untuk dimanipulasi. Selain itu, fitur smart contract dan Non-Fungible Token (NFT) membantu dalam pembagian royalti secara otomatis tanpa perlu lembaga perantara, sehingga meningkatkan efisiensi dan keamanan dalam mengelola hak cipta. Meskipun masih menghadapi tantangan seperti ketidaksempurnaan regulasi dan kurangnya literasi digital, teknologi blockchain memiliki potensi besar untuk menjadi dasar perlindungan hukum yang adaptif dan berkelanjutan di masa depan.
Identifikasi Sampah Berdasarkan Tekstur Dengan Metode GLCM dan GLRLM Menggunakan Improved KNN Kristian Telaumbanua; Sudarto Sudarto; Fitri Butar-Butar; Putri Shania Bilqis
Explorer Vol 1 No 2 (2021): Juli 2021
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/explorer.v1i2.94

Abstract

Inorganic garbage is a type of garbage which takes a long time to decompose naturally, and it is important to recycle this type of garbage to avoid it stacking up in the environment. Before the recycle process, the inorganic garbage will be grouped which needs an identification of its form of material. The digital image processing can be used to create a system which could identify the form of material the inorganic garbage is by analyzing the features. In this research, the feature that will be used is the texture feature. The texture feature will be extracted using the Gray Level Co-Occurrence Matrix, and Gray Level Run Length Matrix method. And for the material of garbage identification will use the Improved KNN classification method. The results of the test by using 50 images as data testing from 5 different material of garbage which is cardboard, glass, metal, paper, and plastic type of garbage have the highest mean of accuracy 90,4% by using the GLRLM method with 135° angle of extraction. Meanwhile the accuracy when combining the extraction methods, which is adding up the value of GLCM and GLRLM, have the highest mean of accuracy 88% with 0° angle of extraction
Co-Authors ., Riche Adinda ihdina Surbakti Anelka Winata Perangin Angin Cindy Jumaida Daud Sihar Surung Putra Anugerah Daeli Erlanie Sufarnap Erlanie Sufarnap Erlanie Sufarnap Fince Aprilman Waruwu Fitri Butar-Butar Florida Nirma Sanny Damanik Ginting, Tri Wulandari Haloho, Yohana Oktavia Irpan Pardosi Irvan Budi Butar Butar Jeni, Mutiara Krissanty Monita Br Aritonang Kristian Telaumbanua Manik, Elonsius Marbun, Sartika Br Marpaung, Jeni Rifkayani Martina Grecia Wijaya Nadeak Mirza Ilhami Mirza Ilhami Mirza Ilhami Muhammad Abdillah Helmi Rasyid Muhammad Zarlis Nadyta Situmorang Nainggolan, Tiodoras Nainggolan Tiodoras Natalis Pardamean Situmorang Nopentri Panjaitan Obert, Steven Pahala Sirait Putri Shania Bilqis Riri Riri Roni Yunis Roni Yunis Salsabila, Zulpa Salsalina Br Sembiring Sebrina Marsya Simanullang Shesyl Yulia Noor Diwani Sianipar, Aldo Exaudi Sitanggang, Santa Eliza sitio, Pourman Sophya Hadini Marpaung Sugianta Ovinus Ginting Sugianta Ovinus Ginting Victor Samuel Saputra Simorangkir Wijaya, Viona Guanita Yohana Angeliana Sianturi