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All Journal Jurnal Manajemen dan Agribisnis J@TI (TEKNIK INDUSTRI) BACA: Jurnal Dokumentasi dan Informasi
Silmi Tsurayya, Silmi
Unknown Affiliation
Agriculture, Biological Sciences & Forestry Economics, Econometrics & Finance Industrial & Manufacturing Engineering Library & Information Science

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STUDI KOMPARASI DAN ANALISIS SWOT PADA IMPLEMENTASI KECERDASAN BUATAN (ARTIFICIAL INTELLIGENCE) DI INDONESIA Ririh, Kirana Rukmayuninda; Laili, Nur; Wicaksono, Adityo; Tsurayya, Silmi
J@ti Undip : Jurnal Teknik Industri Vol 15, No 2 (2020): Mei 2020
Publisher : Departemen Teknik Industri, Fakultas Teknik, Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (933.179 KB) | DOI: 10.14710/jati.15.2.122-133

Abstract

Artificial Intelligence (AI) atau kecerdasan buatan telah berkembang pesat dalam dekade terakhir. Penggunaannya banyak diimplementasikan di lintas sektor seperti Badan Usaha Milik Negara (BUMN), universitas, dan pemerintahan. Studi ini menggunakan Strenght-Weakness-Opportunity-Threat (SWOT) untuk mengukur implementasi AI. Sampel ditujukan pada inkubator bisnis pemerintah dan BUMN, selain itu juga menggunakan analisis konten terhadap beberapa implementasi AI yang ada. Hasil penelitian menunjukkan bahwa peningkatan efektivitas dan efisiensi perusahaan merupakan faktor utama yang mendorong tingginya tingkat implementasi AI. Namun implementasi dan pengembangan teknologi AI akan kurang maksimal jika tidak diperhatikan dengan detil atau disandingkan dengan teknologi lain (teknologi pangan dan lain-lain).
Determination of Success Criteria for Agricultural Social Startups in Indonesia Tsurayya, Silmi; Cahyadi, Eko Ruddy; Anggraeni, Elisa
Jurnal Manajemen & Agribisnis Vol. 19 No. 3 (2022): JMA Vol. 19 No. 3, November 2022
Publisher : School of Business, Bogor Agricultural University (SB-IPB)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17358/jma.19.3.390

Abstract

It is difficult for social startups to select the most relevant key performance indicators (KPIs) because it is difficult to find a shared impact language to code, classify, and interpret the impact. This study aims to determine key impact performance indicators for assessing success in agricultural social startups in Indonesia. We applied multi-case studies approach to four leading Indonesian agricultural social startups. In total, eight experts consisting of co-founders, human resources managers, and managing partners on each social startup have been asked to assess the importance of success criteria and the performance of the corresponding company in fulfilling the requirements. The analytical hierarchy process (AHP) was applied to determine the relative importance of impact themes and strategic goals. The AHP results showed that smallholder agriculture is the most critical impact theme to achieve as success criteria. Five of the 12 strategic goals with the highest priority were explained as candidates of KPIs: the financial health of farmers, better and stable pricing, social equity and justice, farm profitability, and food availability and diversity. The KPIs developed in this study are anticipated to be utilized by stakeholders involved in the agricultural social startup ecosystems, including practitioners, impact investors, and policy-makers. Keywords: social entrepreneurship, social impact, social performance, impact assessment, and evaluation
SOCIAL NETWORK ANALYSIS OF MANGOSTEEN TECHNOLOGY DEVELOPMENT CLUSTER IN INDONESIA BASED ON PATENT DOCUMENT APPLICATION Yaman, Aris; Aris Kartika, Yulia; Tsurayya, Silmi; Ankafia, Adi; P. Manik, Lindung; Akbar, Zaenal; Indrawati, Ariani
BACA: Jurnal Dokumentasi dan Informasi Vol. 43 No. 1 (2022): BACA: Jurnal Dokumentasi dan Informasi (Juni)
Publisher : Direktorat Repositori, Multimedia, dan Penerbitan Ilmiah - Badan Riset dan Inovasi Nasional (BRIN Publishing)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14203/j.baca.v43i1.828

Abstract

Functional food consumption is on the rise and has a significant market value. Indonesia is one of the largest mangosteens (a functional food source commodity) exporting countries globally. Unfortunately, the mangosteen export is still in fresh fruit condition, not in other forms that have a higher value. Policymakers need to identify critical technologies in the development of mangosteen commodities. This study uses a patent-based technology document analysis method to map the potential of technology. The data used is patent data that has been registered with the Indonesian Patent Office and the WIPO Patentscope database. The analysis was carried out using computational methods, namely a Social Network Analysis with the Girvan-Newman algorithm. According to the study's findings based on global patent data, there are three major technology clusters used in mangosteen patents: 1) 24 percent for technology related to developing preparations for medical, dental, or toilet purposes (A61K). 2) 20% for food and food ingredient technology or non-alcoholic beverages (A23L). The remaining 43 percent is spread across many other IPC technology codes, including technology related to drug preparations (A61P). It is in line with the results of patent data analysis in Indonesia, which also shows that there are three dominant technology groups applied to mangosteen in Indonesia, namely 1) Technology related to the development of medical, dental, and toilet technology (A61K) of 47 percent; 2) Technology related to food and food ingredients or non-alcoholic drinks (A23L) by 18 percent, and 3) Technology related to drug preparations (A61P) by 13 percent and the remaining 22 percent spread over several other IPC technology codes. According to Social Network Analysis, the world's dominant technology cluster for mangosteen is technology related to the development of food and food ingredients or non-alcoholic beverages (A23L). The technology associated with medical, dental, and toilet technology is the most important mangosteen technology cluster in Indonesia (A61K).
Co-Authors Ankafia, Adi Aris Kartika, Yulia Aris Yaman Eko Ruddy Cahyadi Elisa Anggraeni, Elisa Indrawati, Ariani Kirana Rukmayuninda Ririh Nur Laili P. Manik, Lindung Wicaksono, Adityo Zaenal Akbar