Penelitian ini menganalisis perdagangan internasional dan faktor-faktor yang memengaruhi perdagangan internasional di Indonesia. Peneliti ini menggunakan metode deskriptif untuk menjelaskan perkembangan perdagangan internasional dan metode verifikatif untuk mengetahui variabel yang berpengaruh terhadap perdagangan internasional. Sumber data diperoleh dari data sekunder yang telah dipublish selama 2003-2019. Teknik analisis data yang digunakan untuk mencari faktor-faktor yang menentukan perdagangan internasional menggunakan regresi berganda. Hasil penelitian menyatakan bahwa perdagangan internasional mengalami fluktuatif selama periode penelitian, karena dampak dari harga migas dan non migas yang berubah. Pertumbuhan perdagangan internasional Indonesia lebih dominan pada sektor nonmigas. Sehingga strategi yang dijalankan pemerintah Indonesia memberikan berbagai kemudahan bagi para pelaku eksportir di bidang nonmigas. Faktor-faktor yang diteliti, meliputi: nilai tukar, tingkat inflasi, government effectiveness, serta trade openness secara simultan berpengaruh terhadap perdagangan internasional. Namun, secara parsial faktor yang secara signifikan mempengaruhi perdagangan internasional hanya tingkat inflasi, government effectiveness, dan trade openness; sedangkan faktor nilai tukar tidak berpengaruh.

The application of mixed methods has been widely implemented in several studies, particularly in the field of public policy; however, the implementation of convergent parallel mixed methods has been limited. Thus, such methods are appropriate to reveal the science, technology, and innovation (STI) policy dynamics in Indonesia during the 1945–2020 period, as policy dynamics research attempts to reveal the evolution of the changes regarding the policy itself. The following five concepts are analyzed through convergent parallel mixed methods: 1) regime/government change, 2) institutional change/transformation, 3) change in policy issuance, direction, and content, 4) actor role and existence, and 5) policy object input and output. This article discusses the method details, from the paradigm, research dataset, and technique selection for collecting and analyzing research data to the research implementation.

Digital disruption innovation in the financial services industry is an innovation that has succeeded in changing the financial industry landscape, starting from its structure, technology, and marketing model. The emergence of the Financial Technology (Fintech) industry marks a disruptive innovation in the financial services industry. This study aims to analyze the role of the Indonesian government in the era of banking disruption. The research method used was descriptive analysis with a qualitative approach—data obtained through interviews and literature study, Bank Indonesia, the Indonesian Fintech Association, and the National Bank Association. Before the research started, the validity of the data was first tested. The results of the study state that the government encourages banking and fintech to grow side by side and is directed to collaborate immediately. The role of the government as a regulator has been performed by the Indonesian Financial Services Authority (OJK) and Bank Indonesia (BI, Central Bank of Indonesia) by issuing various regulations. The study concluded that there are three areas that regulators need to monitor and guard, including misuse of public funds, protection of the public, private data, and money laundering.

This study aims to analyze the financial performance of Indonesian banks based on the Capital Adequacy Ratio (CAR), Operating Costs per Operating Income (BOPO), Loan to Deposit Ratio (LDR), Net Interest Margin (NIM), Return on Assets (ROA), and Non-Performing Loans (NPL). The research method used is verification with a quantitative approach. Sources of data obtained from the bank's financial statements that have been published. The sample is grouped into state-owned banks, regional development banks, national private banks, and foreign banks. The sample is grouped into two parts, namely banking performance before and after the financial technology (fintech) regulatory family. The analysis technique used paired sample test and Wilcoxon signed-rank test. The results of the study stated that there were differences in CAR, LDR, NIM, ROA, and NPL after the ratification of fintech regulations. Meanwhile, only BOPO did not experience any difference with the issuance of fintech regulations.

Purpose: The aim of this study was to analyze the bibliometric characteristics of articles on innovation systems published in Scopus-indexed journals by authors with Indonesian affiliations from 1998 to 2019, in comparison with those published by authors from Singapore and Malaysia.Methods: We conducted a bibliometric and content analysis of publications in the Scopus database. A total of 138 articles from Indonesia, 209 articles from Singapore, and 309 articles from Malaysia were analyzed. They were classified by publication year, authors, co-authors’ country, affiliation, keywords, and journal title.Results: Authors with affiliations from Malaysia were more productive than authors from Singapore and Indonesia during 1998 to 2019. In terms of the quality of papers, Singapore had more productive authors than Malaysia and Indonesia based on the citation frequency.Conclusion: Although fewer articles on innovation systems were published by authors from Indonesia than by those from Malaysia and Singapore, the recent increase in the number of publications by Indonesian authors suggests that number of articles from Indonesia will soon surpass those from the other two countries. International collaboration will help accelerate the number of publications.

Science, Technology, and Innovation (STI) topic has become one of the most debatable discourses in the international journals. In the Scopus database, 24,034 documents were recorded as the results ...