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All Journal Journal of S&T Policy and R&D Management STI Policy and Management Journal BACA: Jurnal Dokumentasi dan Informasi
Indri Juwita Asmara
Pusat Penelitian Perkembangan Ilmu Pengetahuan dan Teknologi - Lembaga Ilmu Pengetahuan Indonesia
Decision Sciences, Operations Research & Management Library & Information Science

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INNOVATION POTENTIAL OF SMALL INDUSTRIES IN THE PARADIGM OF INCLUSIVE DEVELOPMENT IN INDONESIA Asmara, Indri Juwita; Berliana, Nani Grace; Ariana, Lutfah; Rahmaida, Rizka
Journal of S&T Policy and R&D Management Vol 11, No 2 (2013): Journal of S&T Policy and R&D Management
Publisher : Pusat Penelitian Perkembangan Iptek, LIPI

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Abstract

Inclusive development is a development prioritized to alleviate poverty and to encourage all community groups to contribute in creating opportunities, benefits, and participation in decision-making. Small industry is one of the target groups prioritized in inclusive development, especially in the creation of innovation. This paper aims to map the innovation potential of smallindustry in Indonesia. Potential innovations are represented by several indicators, namely: industrial resources obtained, innovation activities and industrial cooperation with the provider of science and technology. Innovation potential of small industry in Indonesia is still not statistically well identified. Therefore, this paper seeks to provide a preliminary description of the innovation activities in small industry. The data used as the basis of the analysis is synthesized from the innovation survey ofmanufacturing industry in Indonesia conducted in 2011. Total of 1.375 respondents, 556 respondents are identified as small industry. Out of the total, 350 small industry declares innovation activities both technological innovation and nontechnological innovation. Using descriptive analysis, it is known that small industry innovation activities are quite diverse ranging from: the acquisition of knowledge, human resource training, and intramural R & D activities. This indicates that the industry has potential for inclusive development.
Unraveling Indonesian Public R&D Institutions’ Perspectives on Chatgpt: An Analytical Approach To Decoding Open-Ended Surveys Through Topic Modeling Budiansyah, Andi; Alamsyah, Purnama; Isnasari, Yovita; Asmara, Indri Juwita; Setiawan, Sigit; Romadona, Mia Rahma
STI Policy and Management Journal Vol 9, No 1 (2024): STI Policy and Management
Publisher : National Research and Innovation Agency, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14203/STIPM.2024.386

Abstract

The rapid development of artificial intelligence (AI) technologies like ChatGPT has made global management easier. Since 2020, AI has been widely utilized for all purposes, notably due to its ease in access for scientific production. This study aims to analyze open-ended questions and responses from web-based survey in Indonesian public research and development (R&D) institutions using topic modeling. A total of 205 data points were obtained through web-based surveys conducted among researchers in Indonesian public R&D institutions. To learn their thoughts on the use of ChatGPT (Chat Generative Pre-Trained Transformer), two AI language topic modeling, Latent Dirichlet Allocation (LDA) and Principal Component Analysis (PCA), were employed to detect survey topic structures and show the results. Three theme groups represent the institution's research cohort. Based on generational disparities in birth year and functional position level, this study selected the seven most popular topics from three themes of researchers' opinions on ChatGPT. Researchers of certain age generations and functional position levels focused on new AI technologies, efficiency, and production gains, while others valued methodological innovation, ethics, and scientific integrity. When formulating a strategy for incorporating AI into the public R&D institution's future research agendas, it is imperative to include diverse perspectives.
Pemanfaatan dataset ukuran efek (effect size) untuk membangun alternatif model penelitian: Studi kasus minat konsumen membeli kendaraan listrik Putri, Rizkiya Anisyah; Yoganingrum, Ambar; Febriandirza, Arafat; Asmara, Indri Juwita; Rezaldi, Muhammad Yudhi; Tohari, Amin; Prasetyadi, Abdurrakhman; Indrawati, Ariani; Siagian, Al Hafiz Akbar Maulana
BACA: Jurnal Dokumentasi dan Informasi 2024: SPECIAL ISSUE - DATA IN BRIEF FOR REPOSITORI ILMIAH NASIONAL
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: 10.55981/baca.2024.7782

Abstract

This study presents survey data from primary research papers containing effect size data and the number of respondents for several variables influencing consumer interest in purchasing electric vehicles. The survey utilized the Meta-Analytic Structural Equation Modeling (MASEM) approach. Data were collected in June 2021 using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) to identify 11 valid papers. This survey aimed to collect effect size values, such as path coefficients and standardized regression weights, from each of the eleven papers. The effect size values collected indicate the magnitude of the relationship between the variables: Attitude, Perceived Behavior Control, Subject Norm, Charging Infrastructure, Environmental Concern, Financial Benefit, External Environment, Marketing Mix, Willingness to Pay a Premium, Incentive Policy Measures, and Perceived Value, and their impact on interest in purchasing electric vehicles. The data set stored in this repository can serve as a reference for researchers and policymakers in developing models and examining the relationship between variables influencing electric vehicles adoption.
Co-Authors Abdurrakhman Prasetyadi, Abdurrakhman Ambar Yoganingrum Amin Tohari Budiansyah, Andi Febriandirza, Arafat Indrawati, Ariani Isnasari, Yovita Lutfah Ariana Muhammad Yudhi Rezaldi, Muhammad Yudhi Nani Grace Berliana Purnama Alamsyah Putri, Rizkiya Anisyah Rizka Rahmaida Romadona, Mia Rahma SIAGIAN, AL HAFIZ AKBAR MAULANA Sigit Setiawan