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Pelindungan Hukum Terhadap Sumber Daya Genetik dan Pengetahuan Tradisional (SDG-PT) Pasca Diundangkannya Undang-Undang Nomor 13 Tahun 2016 Tentang Paten Ferianto Ferianto; Tommy Hendrix; Tuthi’ Mazidatur Rohmah
JIPRO: Journal of Intellectual Property JIPRO , Vol. 3. No. 1, 2020
Publisher : Fakultas Hukum Universitas Islam Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20885/jipro.vol3.iss1.art2

Abstract

The huge potential of genetic resources has made Indonesia one of the goals of bioprospection and even biopiracy from other countries which has actually harmed the Indonesian state both legally and economically. Referring to the importance of managing genetic resources and traditional knowledge, there have been many political results of national law that have been created to regulate the protection and management of genetic resources and traditional knowledge. One of the products of the political law is Law no. 13 of 2016 concerning Patents. Therefore, this study aims to examine the legal protection aspects of genetic resources and traditional knowledge in terms of Law Number 13 of 2016 concerning Patents, opportunities and challenges for Indonesia in utilizing the protection of the SDG to empower an economy based on biodiversity and traditional knowledge. This research is a normative research with qualitative data analysis. Normative research is carried out with a literature study approach consisting of primary and secondary legal materials. The research results show that Law No. 13 Year 2016 regarding Patents have loaded a better legal protection against patent-based genetic resources and traditional knowledge (GR-TK) both preventive and repressive. The opportunity for GR-TK potential is if database can be managed centrally, systematically and completely, it will facilitate utilization and arrangement of benefit sharing access so that benefits felt by Indonesia as country that owns GR-TK are more optimal. The challenge faced is that management of GR-TK database systematically and completely by a special authority has not been established by Government. Arrangements regarding benefit sharing in GR-TK utilization has not made the technical regulations governing them.
TECHNOLOGY FORESIGHT OF PATENT MANAGEMENT: AN OVERVIEW ON BIG DATA FOR REPOSITORY FIELDS Tommy Hendrix
Jurnal Bisnis Manajemen Vol 20, No 2 (2019): September 2019
Publisher : Fakultas Ekonomi dan Bisnis Universitas Padjadjaran

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (811.435 KB) | DOI: 10.24198/jbm.v20i2.327

Abstract

The development of technology for entering the revolution industries 4.0 era nowadays becomes a hot issue in all industries. This condition is more interesting to discover in reducing budget expenditure, especially in the production process and obtaining raw materials. One of the tools that can be used is through technology foresight in patent management to see more information and predict the advanced technology which brings a competitive advantage in the digital era. Big data in fields of the repository is an urgent requirement, especially in collecting data from R D results. So, it will facilitate data retrieval within a specific time. This paper discusses how a user knows the development and predicts technology for market segmentation through a patent portfolio, licensing, status, competitor, innovation, and monitoring emerging market with a patent database registered on WIPO. The methodology used software Innography (Licensed). This paper aims to analyze patent database of big data for repository, related to the development of technology foresight products that have been produced, as well as to study the competitors’ movement. The result shows that there are 1262 registered patents with seventeen patents and six organizations acting as assignees from 2004 until 2018. This paper is beneficial to the industry and stakeholders needing the impact of the implementation of the latest technology and the appropriate level of competition in the commercialization of big data for the repository as a digital system for information technology.