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Artificial Intelligence and Labour Productivity by Skill Stratification: Empirical Evidence from Chinese Municipal Provinces, 2000–2020
No full textArtificial intelligence (AI) is reshaping labor productivity by enhancing production efficiency, transforming work patterns, and redefining labor market dynamics. However, the full potential of AI remains constrained by varying adoption rates and a persistent mismatch between technological advancements and workforce skill levels. Consequently, many regions have yet to realize substantial productivity gains. This study investigates the impact of AI on the productivity of high, medium, and low-skilled workers in four municipal provinces in China from 2000 to 2020. Employing Ordinary Least Squares (OLS) regression on a 21-year panel dataset, the research examines how three proxies of AI adoption, patents, research investments, and infrastructure development affect labor productivity across different skill tiers. The findings reveal significant heterogeneity: AI patents and research investments disproportionately benefit high-skilled workers. At the same time, infrastructure-based AI development is crucial to enhancing productivity for medium- and low-skilled workers. These results underscore the importance of skill-aligned AI strategies to ensure inclusive productivity growth. This study makes an urgent contribution to the discourse on digital transformation and labor market adaptation by offering evidence-based insights for policymakers. It emphasizes the need for coordinated efforts among research institutions, industries, and local governments to promote continuous learning and upskilling. Such collaboration is vital to equip the workforce with capabilities that align with emerging AI technologies, enhancing resilience, competitiveness, and adaptability in rapid technological change
Demographics, Digitalization, and Disclosure: Key Drivers of Financial Report Quality in Papua’s Local Government
No full textUnder regional autonomy, transparent and high-quality financial reporting, including robust disclosure, is essential for Indonesian local governments. Despite improved audit ratings, Papua Province still struggles with financial report quality and full disclosure, as indicated by recurring audit findings. This study investigates the influence of human resource (HR) competence, internal control systems, government accounting standards, and information technology on the quality of financial reports within the Papua Provincial Government. In addition, it explores the moderating role of demographic factors (specifically age and education) in the relationship between HR competence and information technology with financial reporting quality. Data were collected through a structured questionnaire distributed to 210 employees across various local government work units in Papua Province. The analysis was conducted using Structural Equation Modeling with Partial Least Squares (SEM-PLS). The findings reveal that HR competence, government accounting standards, and the use of information technology significantly enhance the quality of financial reports. Conversely, the internal control system does not exhibit a significant effect. Furthermore, age and education significantly moderate the relationship between information technology and financial report quality but do not significantly moderate the relationship between HR competence and financial report quality. These results underscore the importance of technological adaptation and tailored human resource strategies in improving public sector financial transparency
Upaya Penyelamatan Informasi Arsip Akta Cerai Melalui Digitalisasi Menggunakan Google Sites Pada Pengadilan Agama Pinrang Sulawesi Selatan
No full textRevolusi Industri 4.0 yang ditandai dengan pesatnya perkembangan teknologi informasi dan komunikasi, mendorong integrasi teknologi digital, fisik, dan biologis. Perubahan ini tidak hanya memudahkan berbagai aktivitas manusia khususnya pada institusi pemerintahan, namun juga memberikan dampak yang signifikan terhadap pengelolaan arsip. Sistem pengelolaan arsip yang sebelumnya bersifat manual atau tradisional kini bertransformasi menjadi sistem digital yang memungkinkan pengelolaan arsip lebih efisien, aman, dan mudah diakses. Transisi ini mencerminkan pentingnya memanfaatkan teknologi untuk mendukung efisiensi administrasi dan mengurangi ketergantungan pada arsip berbentuk kertas. Volume arsip kertas/konvensional akan terus meningkat setiap waktunya, jika tidak dikelola dengan baik akan berdampak pada kekurangan tempat penyimpanan arsip serta kendala dalam proses temu kembali arsip. Digitalisasi arsip menjadi solusi yang tepat untuk mengatasi permasalahan tersebut dengan memanfaatkan aplikasi Google Sites sebagai wadah. Penelitian ini bertujuan untuk meningkatkan kualitas pengelolaan arsip akta cerai yang belum optimal pada Pengadilan Agama Pinrang Sulawesi Selatan. Penelitian ini dilakukan dengan menggunakan metode penelitian kualitatif dengan pendekatan deskriptif. Hasil penelitian ini menunjukkan bahwa sebagai produk dari layanan pengadilan, arsip akta cerai perlu dikelola dengan baik agar terjamin keselamatannya dengan cara digitalisasi menggunakan aplikasi Google Sites. Digitalisasi arsip akta cerai menggunakan Google Sites ini dapat memfasilitasi dan mempermudah petugas pelayanan produk dalam temu kembali arsip akta cerai pada Pengadilan Agama Pinrang
Exploring the Power of Health Influencers: : Communication Strategies for Health Education on TikTok Through @qonitcah’s Content
No full textTingginya penggunaan TikTok di Indonesia sejalan dengan rendahnya literasi kesehatan serta meluasnya penyebaran misinformasi di media sosial, membuka peluang bagi health influencer untuk berkontribusi dalam memberikan edukasi kesehatan yang kredibel dan menarik guna meningkatkan literasi kesehatan masyarakat. Salah satu health influencer yang sering memberikan edukasi kesehatan di TikTok adalah Qonitah Faridah Pranadisti dengan akun @qonitcah. Penelitian ini menganalisis secara lebih dalam strategi yang digunakan Qonitah dalam memanfaatkan TikTok untuk menyusun pesan yang efektif dan kredibel serta berdampak pada literasi kesehatan masyarakat dengan menerapkan teori 4C (context, communication, collaboration, dan connection). Dengan pendekatan kualitatif deskriptif, penelitian ini menggunakan teknik pengumpulan data dari observasi secara langsung dan dokumentasi. Hasil penelitian menunjukkan Qonitah mampu menyampaikan edukasi kesehatan melalui pendekatan informal yang mudah dipahami. Qonitah juga aktif dalam berinteraksi dengan audiens dan menggunakan visual yang kreatif. Selain itu, Qonitah berhasil menjaga hubungan yang berkelanjutan dengan audiens melalui konsistensi unggahan. Namun, komponen collaboration yang dilakukan Qonitah dengan pihak lain masih belum dimaksimalkan.Tingginya penggunaan TikTok di Indonesia sejalan dengan rendahnya literasi kesehatan serta meluasnya penyebaran misinformasi di media sosial, membuka peluang bagi health influencer untuk berkontribusi dalam memberikan edukasi kesehatan yang kredibel dan menarik guna meningkatkan literasi kesehatan masyarakat. Salah satu health influencer yang sering memberikan edukasi kesehatan di TikTok adalah Qonitah Faridah Pranadisti dengan akun @qonitcah. Penelitian ini menganalisis secara lebih dalam strategi yang digunakan Qonitah dalam memanfaatkan TikTok untuk menyusun pesan yang efektif dan kredibel serta berdampak pada literasi kesehatan masyarakat dengan menerapkan teori 4C (context, communication, collaboration, dan connection). Dengan pendekatan kualitatif deskriptif, penelitian ini menggunakan teknik pengumpulan data dari observasi secara langsung dan dokumentasi. Hasil penelitian menunjukkan Qonitah mampu menyampaikan edukasi kesehatan melalui pendekatan informal yang mudah dipahami. Qonitah juga aktif dalam berinteraksi dengan audiens dan menggunakan visual yang kreatif. Selain itu, beliau berhasil menjaga hubungan yang berkelanjutan dengan audiens melalui konsistensi unggahan. Namun, komponen collaboration yang dilakukan Qonitah dengan pihak lain masih belum dimaksimalkan
Pola Komunikasi Organisasi dalam PT Bussan Auto Finance
No full textPerbedaan generasi dalam angkatan kerja dapat memengaruhi preferensi dan gaya komunikasi. Hal ini kemudian dapat menjadi salah satu penghambat dalam aktivitas komunikasi dalam organisasi. PT Bussan Auto Finance (BAF), sebagai salah satu perusahaan penyedia jasa keuangan menghadapi tantangan serupa dalam mengelola komunikasi antar karyawan lintas generasi. Penelitian ini bertujuan untuk menganalisis pola komunikasi organisasi yang diterapkan oleh PT. BAF dalam mendukung hubungan interpersonal yang positif antar karyawan, meningkatkan keterlibatan serta kepuasan kerja, dan merancang model komunikasi yang inklusif untuk menghadapi perbedaan generasi di tempat kerja. Metode penelitian yang digunakan adalah kualitatif dengan pendekatan studi kasus. Data dikumpulkan melalui wawancara mendalam untuk mengeksplorasi persepsi dan pengalaman karyawan terhadap pola komunikasi organisasi yang diterapkan. Analisis data dilakukan menggunakan teknik analisis tematik. Penelitian menunjukkan bahwa PT. BAF menghadapi tantangan dalam komunikasi organisasi akibat adanya perbedaan generasi. Pola komunikasi organisasi secara vertikal menjadi salah satu komunikasi yang efektif untuk penyampaian informasi, tetapi kurang mendukung partisipasi karyawan. Sebaliknya, komunikasi lateral dan informal meningkatkan hubungan serta keterlibatan karyawan. Untuk menjembatani perbedaan yang ada, PT. BAF mengadopsi kebijakan komunikasi hibrid dan pelatihan antargenerasi guna membangun pemahaman dan hubungan yang harmonis
The Role of Generalized Space Time Autoregressive (GSTAR) Modelling in Understanding Economic Indicators: Farmer Value Food Crops Subsector
No full textIndonesia, as an agrarian nation, relies heavily on agriculture for rural livelihoods. The Farmer Terms of Trade (FTT) is a key indicator of farmer welfare. However, agriculture is often seen as ineffective in boosting income and reducing poverty. Despite this, the sector remains crucial for national development, especially the crops sub-sector, which sustains the country's food supply. The Generalized Space Time Autoregressive (GSTAR) model is employed to explore data relationships across proximate locations, focusing on geographical or observational locational factors. This analysis incorporates three spatial weights in the GSTAR model: (1) queen contiguity- weights, (2) uniform location weights, and (3) inverse distance spatial weights. Our findings indicate that the GSTAR model (11)I(1) with uniform spatial weight emerges as the optimal model. This model not only satisfies the white noise and normality assumptions but also demonstrates superior performance metrics, including a Mean Squared Error (MSE) of 2.34, Root Mean Squared Error (RMSE) of 1.53, and Mean Absolute Percentage Error (MAPE) of 1.10%. These figures notably surpass those obtained with the GSTAR models employing queen contiguity-based weights and inverse distance spatial weights, thereby highlighting its efficacy in capturing the dynamics within the crops sub-sector
Blended Learning Implementation at Bangladesh Open University
No full textImplementing blended learning is challenging for low- and middle-income countries’ universities, including open universities. Limited studies addressed this issue by exploring strategic approaches to implement blended learning at open universities in low- and middle-income countries. The study aimed to formulate strategic approaches to implement blended learning at Bangladesh Open University (BOU). To that end, the narrative literature review method was used in this study. Thereby, purposively selected 38 peer-reviewed research articles related to blended learning within ten years were analyzed. The document analysis method was also utilized, i.e., data from the BOU website was collected and analyzed. To formulate the strategic approaches, the study analyzed the recent concepts, benefits, and challenges of blended learning. In addition, blended and face-to-face learning were also compared in terms of concept, application, and limitations. Based on these, this study offered a set of strategic approaches to implementing blended learning at BOU, including adapting the blended learning policy, customizing the BOU learning management system software, and converting the existing curriculum from traditional learning to blended learning mode. Policymakers of BOU and other similar open universities will benefit from this study regarding addressing the issue of implementing blended learning
PENYULUHAN UNTUK MENJADI PEMILIH CERDAS DAN BIJAK DALAM PEMILU 2024 DI DESA TEGAL KERTHA
No full textCommunity Service Activities is a program that is required for all National Education University students to serve themselves in the community through a cross-scientific and sectoral approach carried out at a certain time and place. For the 2023–2024 period, thematic community service activities will be carried out in certain formats and themes that are relevant to community needs, with implementation in collaboration with the Denpasar City KPU. "Choosing Wisely, Contributing to Indonesia's Future" is the theme chosen by the National Education University for Community Service Activities for the 2023–2024 period. This activity was carried out in Tegal Kertha Village, West Denpasar District, Denpasar Municipality, Bali Province. One of the work programs carried out by Undiknas Community Service Activity students aims to educate local village communities to become intelligent and wise voters in the 2024 elections through counseling. Therefore, a work program was created in the form of a creative educational video, "Counseling to Become a Smart and Wise Voter in the 2024 Election." This work program is carried out online in the form of creative videos uploaded on Instagram social media in collaboration with the Tegal Kertha Village Voting Committee (PPS) Instagram account. The expected result is that the community will gain insight into choosing wisely to contribute purely without other motives, and there will be follow-up regarding the implementation of wise choices ahead of the 2024 election in Tegal Kertha Village
The Effect of Fear, Anticipation, Pessimism, and Optimism on Expertise in Using MyoB Application Version 18
No full textThis research aims to determine the influence of Fear (X1), Anticipation (X2), Pessimism (X3), and Optimism (X4) on Expertise in Using the MyoB Application (Y). The data used is primary data. Data is processed using the Partial Least Square (PLS) method with the SmartPLS application. The findings from the 4 independent variables were that 2 variables had an effect and the other 2 variables had no effect. The variables that have an influence are Anticipation (X2) and Optimism (X4), while the variables Fear (X1) and Pessimism (X3) have no effect. This means the need for anticipatory efforts and building an optimistic nature in users because it has been empirically proven to improve their skills. The novelty of this research is the difference in the placement of the independent variables consisting of Fear, Anticipation, Pessimism, and Optimism as stand-alone variables in testing, rather than being merged into the computer anxiety and computer attitude variables. Implications for higher education leaders, especially at the study program level, in adopting curriculum adjustment policies to require the use of accounting software and provide the necessary facilities for students so as to contribute positively to the quality of skilled and efficient graduates. Recommendations for future research can: (a) Expand the range of respondents; (b) Extending the duration of the research; (c) Adding research variables; (d) Testing on respondents who have practitioner status
Komparasi Kualitas Semen Segar dan Beku pada Sapi Pejantan Limousin di Teaching Farm Fakultas Kedokteran Hewan Universitas Airlangga
No full textOne way to reduce the value of beef imports nationally is to conduct a program to increase the number of beef cattle breeders at the smallholder scale by increasing the efficiency of cattle reproduction through artificial insemination technology. The purpose of the study was to determine the difference in the quality of fresh semen and frozen semen of Limousin bulls. The research method used exploratory laboratory. The results of macroscopic observations showed that the value of fresh semen volume was 4.4-7.2 ml., the results of color observations on fresh and frozen semen were all milky white. The consistency of fresh semen is thick while frozen semen is liquid. Measurement of pH in fresh and frozen semen showed a result of 6.7, while the results of fresh semen motility measurements obtained a value of 77% and in frozen semen showed a result of 41.5%. Abnormality of fresh semen showed a value of 1.30% while in frozen semen the result was 0.00%. The results of the examination of spermatozoa concentration in fresh semen were 1,426(106)/ml, while in frozen semen it was 26.6(106)/ml. The results of microscopic evaluation showed that there were five variables that were significantly different (p<0.05), namely volume, viscosity, motility, abnormality, and concentration, and there were two variables that showed no significant difference (p>0.05), namely color and pH. It was concluded that there are significant differences in the five variables measured but these differences are still within reasonable threshold limits according to the quality standards published by the National Standardization Agency in 2021.Salah satu cara untuk mengurangi nilai impor daging sapi secara nasional yaitu dengan program peningkatan jumlah anakan sapi potong pada skala peternak rakyat, melalui peningkatan efisiensi reproduksi sapi menggunakan teknologi inseminasi buatan. Tujuan penelitian ini adalah untuk mengetahui perbedaan kualitas semen segar dan semen beku sapi pejantan Limousin. Metode penelitian menggunakan eksploratif laboratoris. Hasil pengamatan makroskopis menunjukkan bahwa nilai volume semen segar adalah 4,4-7,2 ml, sementara hasil pengamatan warna pada semen segar maupun semen beku semuanya berwarna putih susu. Konsistensi pada semen segar termasuk kental, sedangkan pada semen beku tergolong cair. Pengukuran pH pada semen segar dan beku menunjukkan hasil 6,7. Sementara itu, hasil pengukuran motilitas semen segar diperoleh nilai 77% dan pada semen beku menunjukkan hasil 41,5%. Abnormalitas semen segar menunjukkan nilai 1,30%, sedangkan pada semen beku diperoleh hasil 0,00%. Hasil pemeriksaan konsentrasi spermatozoa pada semen segar sebanyak 1.426(106)/ml, sedangkan pada semen beku sebesar 26,6(106)/ml. Hasil evaluasi mikroskopis menunjukkan bahwa terdapat lima variabel yang berbeda nyata (p<0,05) yaitu volume, kekentalan, motilitas, abnormalitas, dan konsentrasi, serta terdapat dua variabel yang menunjukkan tidak beda nyata (p>0,05) yaitu warna dan pH. Disimpulkan bahwa terdapat perbedaan nyata pada lima variabel yang diukur tetapi perbedaan tersebut masih dalam batas ambang yang wajar sesuai standar baku mutu kualitas yang diterbitkan oleh Badan Standarisasi Nasional Tahun 2021