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Relationship Between Gender, Education, Employment, and Income in The Formal and Informal Sector in Sukabumi Soetji Andari; Ismail Nasar; Indra Tjahyadi
West Science Interdisciplinary Studies Vol. 1 No. 03 (2023): West Science Interdisciplinary Studies
Publisher : Westscience Press

This study investigated the relationship between gender, education, employment, and income in the formal and informal sectors in Sukabumi. The study used a mixed-methods approach, incorporating both quantitative and qualitative methods. The quantitative component involved a survey of 500 households evenly divided between men and women and between urban and rural areas. The qualitative part involved interviews with key informants and focus group discussions with women and men in Sukabumi. The study found that women in Sukabumi have lower levels of education, are less likely to be employed, and earn less than men in both formal and informal sectors. Gender norms and attitudes significantly shape women's access to education, employment, and income. The study recommends that policies prioritize women's education and employment opportunities in formal and informal sectors to promote gender equality and reduce poverty.

Analyzing the Interaction of Education Level, Income, Social Capital, and Political Participation on Community Involvement in Urban City Bandung Ade Risna Sari; Hestina Mokoagow; Soetji Andari
Jurnal Geosains West Science Vol 1 No 02 (2023): Jurnal Geosains West Science
Publisher : Westscience Press

Studi ini bertujuan untuk menganalisis interaksi antara tingkat pendidikan, penghasilan, modal sosial, dan partisipasi politik terhadap keterlibatan masyarakat dalam pembangunan kota di kota Bandung sebanyak 200 sampel. Pendekatan campuran digunakan, dengan mengombinasikan survei kuantitatif dengan diskusi kelompok fokus kualitatif. Hasil penelitian menunjukkan bahwa tingkat pendidikan, penghasilan, dan modal sosial berhubungan positif dengan keterlibatan masyarakat, sedangkan partisipasi politik tidak memiliki hubungan yang signifikan dengan keterlibatan masyarakat. Data kualitatif memberikan wawasan tambahan tentang pentingnya modal sosial dalam mempromosikan keterlibatan masyarakat dan manfaat serta keterbatasan partisipasi politik. Temuan ini memiliki implikasi penting bagi pembuat kebijakan dan pemimpin masyarakat yang ingin mempromosikan keterlibatan masyarakat dalam inisiatif pembangunan kota.

Relationship Between Gender, Education, Employment, and Income in The Formal and Informal Sector in Sukabumi Soetji Andari; Ismail Nasar; Indra Tjahyadi
West Science Interdisciplinary Studies Vol. 1 No. 03 (2023): West Science Interdisciplinary Studies
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsis.v1i02.42

This study investigated the relationship between gender, education, employment, and income in the formal and informal sectors in Sukabumi. The study used a mixed-methods approach, incorporating both quantitative and qualitative methods. The quantitative component involved a survey of 500 households evenly divided between men and women and between urban and rural areas. The qualitative part involved interviews with key informants and focus group discussions with women and men in Sukabumi. The study found that women in Sukabumi have lower levels of education, are less likely to be employed, and earn less than men in both formal and informal sectors. Gender norms and attitudes significantly shape women's access to education, employment, and income. The study recommends that policies prioritize women's education and employment opportunities in formal and informal sectors to promote gender equality and reduce poverty.

The Role of artificial intelligence in the Development of Innovative Drugs and Therapies for the Future of Health Loso Judijanto; Rachmi Nurkhalika; Dito Anurogo; Soetji Andari; Muntasir Muntasir
Journal of World Future Medicine, Health and Nursing Vol. 2 No. 1 (2024)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/health.v2i1.666

The development of artificial intelligence (AI) technology has made significant contributions to the healthcare field, especially in the development of innovative drugs and therapies. The combination of computational sophistication and AI data analysis has enabled researchers to identify complex patterns in biomedical data, accelerate drug discovery time, and facilitate therapy personalization. This research aims to explore the important role of AI in drug development and innovative therapies to create a better future of healthcare. This involves an analysis of various AI methods and techniques used in drug development as well as the application of AI in personalized therapy for society. This study was conducted by conducting a literature review and analyzing the latest research and developments in the application of AI in drug and therapy development. The results showed that AI has opened new opportunities in drug development by accelerating the process of drug target identification, molecular simulation, and optimization of clinical trials. Meanwhile, in therapeutics, AI enables better personalization through analysis of patient clinical data and prediction of response to specific treatments. This opens up the potential for the development of more effective and targeted therapies. With the development of AI technology, the development of innovative drugs and therapies has become more efficient and effective. The application of AI in healthcare offers the potential to create a more personalized, precise, and comprehensive healthcare future. The collaboration between medical science and AI technology will lead to more innovative and affordable health solutions for the people. Thus, the role of AI in the development of innovative drugs and therapies is recognized as one of the key pillars in creating a better future of healthcare.

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