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All Journal STI Policy and Management Journal Jurnal Ekonomi Pembangunan
Isnasari, Yovita
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Economics, Econometrics & Finance

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DETERMINAN KINERJA INDUSTRI TPT INDONESIA Nada, Haya Marshella Lifnatin; Hermawan, Iwan; Rambe, Khoiru Rizqy; Nugraheni, Reninta Dewi; Zuhdi, Fadhlan; Isnasari, Yovita; Asshagab, Sri Milawati
Jurnal Ekonomi Pembangunan Vol 12 No 1 (2023): Volume 12 Nomor 1 Tahun 2023
Publisher : Fakultas Ekonomi dan Bisnis Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jep.v12i1.1483

Abstract

The textile and textile product (TPT) industry is a leading industry for national economic growth. The existence of its performance relies on various factors that turn out to be vulnerable to fluctuations, including the fulfillment of raw materials in the form of cotton fiber from import dominance. Therefore, disruption of the performance of the textile industry will also stimulate disruption to Indonesia's economic growth. This study aims to analyze the determinants of the development of textile industry performance. For this reason, a quantitative approach is used with econometric models prepared based on the Cobb-Douglas theory of production functions. The model construction uses secondary time series data for the period 1992-2021 sourced from the World Bank, Bank Indonesia, the International Monetary Fund (IMF), and the Central Statistics Agency (BPS). The findings show that the terminology of the development of the performance of the Indonesian textile industry includes capital, labor absorption, world cotton fiber prices, inflation, textile exports, the Covid-19 pandemic, and the global food crisis in 2007/2008. Therefore, several policy recommendations were submitted to encourage more massive TPT machine restructuring programs, improve the skills of TPT human resources (HR), provide incentives for Local Ease of Export Destinations (KLTE), and re-intensify the #banggabuatanindonesia campaign.
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.
DETERMINAN KINERJA INDUSTRI TPT INDONESIA Nada, Haya Marshella Lifnatin; Hermawan, Iwan; Rambe, Khoiru Rizqy; Nugraheni, Reninta Dewi; Zuhdi, Fadhlan; Isnasari, Yovita; Asshagab, Sri Milawati
Jurnal Ekonomi Pembangunan Vol 12 No 1 (2023): Volume 12 Nomor 1 Tahun 2023
Publisher : Fakultas Ekonomi dan Bisnis Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jep.v12i1.1483

Abstract

The textile and textile product (TPT) industry is a leading industry for national economic growth. The existence of its performance relies on various factors that turn out to be vulnerable to fluctuations, including the fulfillment of raw materials in the form of cotton fiber from import dominance. Therefore, disruption of the performance of the textile industry will also stimulate disruption to Indonesia's economic growth. This study aims to analyze the determinants of the development of textile industry performance. For this reason, a quantitative approach is used with econometric models prepared based on the Cobb-Douglas theory of production functions. The model construction uses secondary time series data for the period 1992-2021 sourced from the World Bank, Bank Indonesia, the International Monetary Fund (IMF), and the Central Statistics Agency (BPS). The findings show that the terminology of the development of the performance of the Indonesian textile industry includes capital, labor absorption, world cotton fiber prices, inflation, textile exports, the Covid-19 pandemic, and the global food crisis in 2007/2008. Therefore, several policy recommendations were submitted to encourage more massive TPT machine restructuring programs, improve the skills of TPT human resources (HR), provide incentives for Local Ease of Export Destinations (KLTE), and re-intensify the #banggabuatanindonesia campaign.
Co-Authors Asshagab, Sri Milawati Budiansyah, Andi Fadhlan Zuhdi, Fadhlan Indri Juwita Asmara Iwan Hermawan Nada, Haya Marshella Lifnatin Nugraheni, Reninta Dewi Purnama Alamsyah Rambe, Khoiru Rizqy Romadona, Mia Rahma Sigit Setiawan