READINESS OF ARTIFICIAL INTELLIGENCE TO ACCELERATE BUREAUCRATIC REFORM IN INDONESIA

The national use of AI in the government sector is necessary to achieve effectiveness and efficiency in supporting bureaucratic reform and policy decision making in order to implement good governance. The research uses qualitative descriptive methods by reviewing previous research, and reviewing policies related to the use of AI in government and bureaucratic reform. The results show that in terms of governance, AI systems do not yet have specific laws governing and ensuring the security and protection of citizen data and the use of algorithms against the misuse of electronic transactions. In terms of governance, AI development is needed as an effort to maintain public trust and government legitimacy. In terms of infrastructure Indonesia is still constrained by the creation of data that is very difficult and does not allow for reuse. In terms of skills and education, the digital skills of workers in Indonesia are still middle level. In terms of government and public services, Indonesia still has to continue to increase the availability of public services digitally. In order to improve the management of AI Indonesia builds artificial intelligence industry research and innovation collaboration (KORI-KA), a quadruple-helix approach between government, industry, academia and the community. At a strategic level, AI management is conducted with policy, accountability, and accountability approaches. At the operational level, cybersecurity against data includes infrastructure security and the use of anonymous data methods to keep data owners unidentified

Analysis of the Use of Financial Technology and Financial Literacy Among MSMEs

The massive effects of the Covid-19 pandemic and continuous technological innovations are not the only ones that change people's lives; the world is now experiencing the emergence of FinTech. FinTech is a technology-based financial service that allows financial transactions to be made quickly, anywhere, and anytime. FinTech has given MSMEs advantages, from capital financing to easy transaction processes to boost MSMEs' growth. This research aims to see how the adoption of FinTech and financial literacy affect the development of Indonesia's MSMEs. Data were used online questionnaires while samples were selected using a convenience sampling technique with 125 business owners participating in this research. Data were then analyzed using the OLS regression method. Results suggest that FinTech and financial literacy positively and significantly influence the development of MSMEs.   Keywords: Financial Technology, Financial Literacy, MSME   Abstrak Efek terjadinya pandemi Covid19 dan inovasi teknologi yang tidak terbatas pada era digital saat ini, semakin dilengkapi dengan hadirnya FinTech. FinTech adalah layanan keuangan dengan berbasis teknologi yang memberikan kemudahan dalam bertransaksi keuangan dimanapun dan kapanpun. FinTech menjadi keunggulan tersendiri bagi UMKM, baik dari segi pembiayaan permodalan maupun kemudahan bertransaksi untuk meningkatkan perkembangan UMKM. Penelitian ini bertujuan untuk mengetahui pemanfaatan Fintech dan literasi keuangan terhadap perkembangan UMKM di Indonesia. Data dalam penelitian ini diperoleh melalui kuesioner secara online dan pengambilan sampel menggunakan teknik convenience sampling. Dengan menggunakan 125 responden pemilik usaha dan metode regresi OLS, penulis menemukan bahwa Fintech dan literasi keuangan memiliki pengaruh positif signifikan terhadap perkembangan UMKM.   Kata kunci: Financial Technology, Literasi Keuangan, UMK

Indonesia-China Cooperation For The Development And Improvement of Digital Technology 4.0 in The Field of Security And Economy

Kerjasama industri 4.0 antara Indonesia-China di sektor keamanan dan ekonomi digital merupakan suatu hal yang penting bagi kedua negara. China memiliki jumlah pengguna internet terbesar di dunia, dilanjutkan dengan Indonesia yang berada di peringkat kelima. Bagi Indonesia, kerjasama ini dipandang mampu mengakselerasi pembangunan infrastruktur digital disektor keamanan dan ekonomi. Sedangkan bagi China, kerjasama ini dipandang mampu membuka peluang sekaligus memperluas pasar ekonomi teknologi digitalnya di luar negeri. Penelitian ini berusaha untuk mengelaborasi kerjasama antara Indonesia-China dalam upaya pengembangan industri teknologi digital 4.0 di sektor keamanan dan ekonomi digital. Adapun metode yang penulis gunakan adalah metode kualitatif dengan kerangka teori kerjasama bilateral. Penelitian ini menemukan hasil bahwasannya kerjasama yang dilakukan kedua belah pihak telah memberikan dampak positif terutama dalam upaya pengembangan dan peningkatan industri 4.0 baik di sektor keamanan maupun ekonomi digital.Katakunci: Industri 4.0, Ekonomi digital, Keamanan, Kerjasama bilatera

Case of Indonesian Covid-19 Chatbot Service

학위논문(석사) -- 서울대학교대학원 : 공과대학 협동과정 기술경영·경제·정책전공, 2021.8. 황준석.Currently, various countries have a national Artificial Intelligence (AI) as a reference to implement the strategies and identify the direction of government policies. AI encompasses a wide range of technologies, one of which is the chatbot platform that can increase efficiency, save time and budget, and provide higher quality public services. Furthermore, in 2019, the Indonesian government released the features of the chatbot platform, which has 2 million users from a total population of 250 million people. Therefore, this study aims to examine the current problems in adopting a chatbot platform using technological, organizational, and environmental (TOE) framework approach. The results show recommendations on the aspects to be considered when adopting AI-based public services.최근 들어, 많은 국가에서 인공지능(AI; Artificial Intelligence) 기반 사회를 위한 AI 구축 전략을 쓰고 있다. AI는 다양한 기술을 필요로 하며 적용사례를 사회 전반에서 찾아볼 수 있는데, 그중 하나는 시간, 비용적으로 효율적이며 높은 질의 공공 서비스 제공이 가능한 챗봇이다. 2019년 인도네시아 정부는 코로나-19 감염증에 관련된 기본적인 정보를 제공할 수 있는 AI 기반 챗봇을 출시했는데, 약 2억 5천만 인구 중 약 2백만 명 만이 사용했다. 본 연구의 목적은 인도네시아에서 챗봇 서비스를 보급하는 데에 있어서 문제가 되는 기술적, 조직적, 환경적 요인들을 조사하는 것이며, 이를 바탕으로 보급을 위해 고려 할 만한 사항들을 인도네시아 정부에 추천하는 것이다.Chapter 1. Introduction １ 1.1 Research Background １ 1.2 Research Purpose ４ 1.3 Scope of the Research ７ 1.4 Research Methodology ７ Chapter 2. Theoretical Background and Hypotheses Development ８ 2.1 Platform ８ 2.1.1 Platform Issues ９ 2.1.2 Security Issues １０ 2.2 Indonesian Government Policy １１ 2.2.1 Roadmap eGovernment １４ 2.2.2 Indonesian Broadband Plan １８ 2.2.3 The movement towards 100 Smart Cities ２１ 2.2.4 National Artificial Intelligence Strategy ２２ 2.3 Artificial Intelligence ２４ 2.3.1 Chatbot Platform ２６ 2.3.2 AI Ethics ２９ 2.4 TOE Framework ３１ 2.5 Structure Equation Modeling (SEM) ３５ 2.5.1 SEM Relationship Model ３６ 2.5.2 Partial Least Squares (PLS) ３８ 2.6 Hypotheses Development ３９ 2.6.1 Technology ３９ 2.6.1.1 Perceived Usefulness ４０ 2.6.1.2 ICT Expertise ４０ 2.6.1.3 ICT Infrastructure ４１ 2.6.2 Organization ４１ 2.6.2.1 Top Management Support ４２ 2.6.2.2 Staff Capacity ４２ 2.6.3 Environment ４３ 2.6.3.1 Regulatory Environment ４３ 2.6.3.2 Citizen Participation ４４ Chapter 3. Research Methodology ４５ 3.1 Qualitative approaches ４５ 3.2 Quantitative approaches ４６ 3.2.1 Population and Sample ４７ 3.3 Data Collection ４８ 3.3.1 Survey ４８ 3.3.2 Survey Instrument ４８ Chapter 4. Analysis and Results ５３ 4.1 Demographic Data of Respondents ５３ 4.1.1 Origin of the institution ５３ 4.1.2 Role in the Institution ５４ 4.1.3 Age ５５ 4.1.4 The number of public services under the institution ５５ 4.1.5 Status of AI-based public services implementation ５６ 4.1.6 Respondents Demographics Summary ５７ 4.2 Data Analysis using SEM Method Using SmartPLS 3.3.2 ５７ 4.2.1 Path diagram formation ５８ 4.2.2 Evaluation of Measurement Model (Outer Model) ５８ 4.2.2.1 The convergent validity examination analysis ５９ 4.2.3 Evaluation of Structural Model ６３ 4.2.3.1 Path Coefficients ６３ 4.2.3.2 Coefficients of Determinant (R2) ６４ 4.2.3.3 Hypothesis test ６５ 4.2.3.4 Effect Size (f2) ６６ 4.3 Discussion of Analysis Results ６７ 4.3.1 Relationship between Perceived usefulness, ICT Expertise, and ICT Infrastructure with technological dimensions. ８１ 4.3.2 Relationship between Top Management Support and Staff Capacity with Organizational dimensions. ８２ 4.3.3 Relationship between Regulatory Environment and Citizen Participation with environment dimensions. ８４ 4.3.4 Relationship between Technology dimension with Intention to adoption ８６ 4.3.5 Relationship between Organizational dimension with Intention to adoption ８７ 4.3.6 Relationship between Environment dimension with Intention to adoption ８８ 4.4 Implication ８９ 4.4.1 Theoretical Implication ８９ 4.4.2 Practical Implication ９０ Chapter 5. Conclusion and Limitation ９２ 5.1 Discussion ９２ 5.2 Model Comparison ９６ 5.3 Limitation and Future Research ９７ Bibliography ９９ Questioner １０４ Summary Measurement Model １０７석

The Role of the Digital Economy in the Development of the Halal Industry and the Sharia Economy in Indonesia: SWOT Analysis

This study aims to analyze the strengths, weaknesses, opportunities, and threats as well as strategies for the role of the digital economy in the halal industry and Sharia economy development in Indonesia. This research is a qualitative descriptive study using literature study and SWOT analysis. The results of the study show that the ultimate strength of Indonesia's digital economy lies in the high growth in the number of Muslims and the growth in digital transactions. However, Indonesia's digital economy is still constrained by the lack of digital economy ability to respond to demand and the market as the main weakness. Meanwhile, the main opportunity lies in good government support. The threat that must be faced is the absence of regulations related to consumer protection in the digital sector. Among the strategic program that can be carried out is increasing digital sharia economic literacy and investment in Indonesia

Analysis of Public Administration Challenges in the Development of Artificial Intelligence Industry 4.0

Technology is causing social and economic upheaval that is overturning the social order. Governments around the world have a lot of potential as a result of the widespread use of artificial intelligence (AI) in government. There are some difficulties in using AI in government. Meanwhile, the use of AI in government can increase public trust in it. The purpose of this article is to assess the level of AI preparedness in the Indonesian government, focusing on its application to public administration and e-government services. Conclusion The level of AI readiness in Indonesia is still low. In ASEAN, the use of AI is ranked fifth. Indonesia is ranked 57th out of 195 countries in the world. Novelty in this research is how BOT can survive amid the rapid development of Artificial Intelligence

Indonesia Network Infrastructures and Workforce Adequacy to Implement Machine Learning for Large-Scale Manufacturing

Technological development prior to industrial revolution 4.0 incentivized manufacturing industries to invest into digital industry with the aim of increasing the capability and efficiency in manufacturing activity. Major manufacturing industry has begun implementing cyber-physical system in industrial monitoring and control. The system itself will generate large volumes of data. The ability to process those big data requires algorithm called machine learning because of its ability to read patterns of big data for producing useful information. This study conducted on premises of Indonesia’s current network infrastructure and workforce capability on supporting the implementation of machine learning especially in large-scale manufacture. That will be compared with countries that have a positive stance in implementing machine learning in manufacturing. The conclusions that can be drawn from this research are Indonesia current infrastructure and workforce is still unable to fully support the implementation of machine learning technology in manufacturing industry and improvements are needed

Sustainable Bank Performance Antecedents in the Covid-19 Pandemic Era: A Conceptual Model

The study proposes a conceptual model of sustainable bank performance antecedents in the Covid-19 Pandemic Era. This study uses a qualitative perspective. Data gathering is done using depth interviews with the Indonesian Central Bank, the Authority of Financial Services, and the National Commercial Banks Association members. Using ethnography analysis from interviews, focus group discussions, and previous studies shows that many variables affect the performance. However, the exogenous variable on performance is without precisely placing fintech and regulations as an antecedent. The study results then constructed the fintech and regulations as intervening and moderating variables for the performance, whereas the other variables were as business driver variables. The study's improvement is that fintech and regulations are the main antecedents for the performance during the pandemic. Fintech is not only an entity outside the bank but also an innovation inside the bank. Moreover, the other improvement is that the bank is not only an institution of customer trust but also an institution with a full touch of technology. Consequently, banks must adopt fintech, and cooperating with fintech entities is a wise choice. The study then proposes a conceptual model of sustainable bank performance that connects business drivers, fintech, and regulations. Doi: 10.28991/ESJ-2022-06-04-09 Full Text: PD