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International Journal of Social Science, Education, Communication and Economics
Published by CV. LAFADZ JAYA
ISSN : -     EISSN : 28297350     DOI : https://doi.org/10.54443/sj
Core Subject : Religion, Economy, Humanities, Education, Art, Social,
Religion Arts Humanities Economics, Econometrics & Finance Education Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Social Sciences
International Journal of Social Science, Education, Communication and Economics (SINOMICS Journal) | E-ISSN: 2829-7350 publishes articles or scientific studies related to social science, education, communication, and economics. publishes articles or scientific studies related to social science, education, communication, and economics. The scope of this journal includes: Social Sciences (Archeology, Anthropology, Geography, History, Law, Linguistics, Psychology, Sociology, and Political). Education (educational philosophy, educational psychology, curriculum, educational evaluation, educational administration, educational technology, guidance and counseling, out-of-school education, and general education) Communication Studies (Journalism, Public Relations, Advertising, Media Studies). Economics (development economics, applied economics, monetary economics, public economics, industrial economics, international and regional economics, natural resource economics, human resource economics, and sharia economics).
Arjuna Subject : Ilmu Sosial - Ilmu Sosial (Lain-Lain)
Articles 13 Documents
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Search results for , issue "Vol. 3 No. 6 (2025): February" : 13 Documents clear
Dynamic Modeling Analysis of Paddle Aerator Performance on Litopenaeus vanamei Ponds Ariadi, Heri; Linayati, Linayati; Mujtahidah, Tholibah
International Journal of Social Science, Education, Communication and Economics Vol. 3 No. 6 (2025): February
Publisher : Lafadz Jaya Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54443/sj.v3i6.477

Abstract

Paddle aerators are an important tool in intensive shrimp farming. The purpose of this study is to determine the performance and electrical power consumption of paddle aerators based on the results of dynamic modelling analysis. This study uses causal ex-pose facto design concept with data analysis using dynamic modelling system. The results showed the salinity levels of pond 1 20-27 gr/L and pond 2 31-33 gr/L, pH pond 1 7.9-9.0 and pond 2 8.1-8.3, DO concentration pond 1 4.43-6.93 mg/L and pond 2 4.72-5.99 mg/L, temperature pond 1 27.15-31.400C with a brightness of 43 cm and pond 2 ranging from 27.50-29.850C with a brightness of 49 cm. From the calculation of the level of oxygen production paddle aerator power 1 HP produces oxygen average 2.12 mgO2 / hour (1.68-2.89 mgO2 / hour) with gas pressure 10.31-16.00 mmHg and paddle aerator power 2 HP produces oxygen average 3.20 mgO2 / hour (2.82-3.65 mgO2 / hour) with gas pressure 10.05-14.56 mmHg. From the accumulated results, the electrical load power required for pond 1 is about 6.83-10.38 kW and pond 2 is about 6.59-7.71 kW. The performance of 1 HP paddle aerator is more effective than 2 HP paddle aerator 4 pieces. The results of dynamic model analysis estimated the level of dissolved oxygen production by paddle aerators during one cultivation cycle ranged from 1-2.70 mgO2/hours and 1-2.75 mgO2/hours with a rotational speed of 0-30 rpm/s and power requirements of 8-10 kW. The conclusion from the results of this study is that the use of 1 HP paddle aerators in large quantities is proven to be more effective and based on the results of dynamic modelling system analysis, it is shown that the performance of DO production by paddle aerators will stagnate at week ten of the cultivation period, with increasing electrical power requirements.
Passage of The Health Law: A Human Rights Perspective in The Field of Public Services Widjaja, Gunawan
International Journal of Social Science, Education, Communication and Economics Vol. 3 No. 6 (2025): February
Publisher : Lafadz Jaya Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54443/sj.v3i6.478

Abstract

The passing of the Health Law is a strategic step in strengthening human rights guarantees in the field of public services, especially access to health services. This law affirms the state's commitment to fulfil the basic right of the people to quality health in an equitable manner. However, the main challenge lies in reducing regional disparities and ensuring that vulnerable groups are not left behind in obtaining services that are inclusive and based on social justice. Through a human rights approach, Health Law has great potential to realise a more equitable and comprehensive national health system. With proper monitoring and implementation, this law can be the main foundation for achieving rights-based and equitable public services.
Implementation of Artificial Intelligence in Financial Crisis Early Warning System Judijanto, Loso; Rizani, Ahmad; Devita, Hety
International Journal of Social Science, Education, Communication and Economics Vol. 3 No. 6 (2025): February
Publisher : Lafadz Jaya Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54443/sj.v3i6.512

Abstract

Financial crisis is a serious threat to economic stability, so an effective early warning system is needed to detect and anticipate potential risks early on. The implementation of artificial intelligence (AI) in financial crisis early warning systems offers significant advantages through big data analysis capabilities, non-linear pattern detection, and more accurate and faster risk prediction than conventional methods. Studies have shown that machine learning and deep learning algorithms can improve crisis prediction accuracy, expand the scope of risk monitoring, and support more responsive decision-making by regulators and financial industry players. However, challenges such as data quality, security, model transparency, and human resource readiness still need to be addressed for optimal AI implementation. This study concludes that with good governance, investment in infrastructure and human resources, and adaptive regulations, AI can be a strategic tool in strengthening early warning systems and maintaining financial sector resilience in the digital era.

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