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Millennial Generation Strategy in Agricultural Development and Rural Economy with Technology Nu'man Afif; Ahmad Ulil Albab Al Umar; Fatimah Malini Lubis; Ita Soegiarto; Pawisari Pawisari
ProBisnis : Jurnal Manajemen Vol. 14 No. 2 (2023): April: Management Science
Publisher : Lembaga Riset, Publikasi dan Konsultasi JONHARIONO

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Abstract

The future of agriculture in Indonesia is currently threatened with the diminishing interest of the younger generation to engage in agriculture. Because it contributes greatly to the development of the national economy if it is supported by productive and quality human resources. The purpose of this study is to find opportunities and development prospects for agriculture and the economy in rural areas with technology by the millennial generation. This research is a type of qualitative research with basic research and data and information analysis using scientific review. In the agricultural sector we are currently facing, one of which is the workforce in the agricultural sector which is dominated by workers who are no longer productive. Village development and economy will depend heavily on productive workers, so that when there is no more young generation, agricultural needs will definitely be supplied from outside. With technology and information, people can easily find and manage an activity not in agriculture. In agriculture, technology can be applied as a means or trick to improve farming.
Investigasi Pengaruh Stres Akademik dan Perhatian terhadap Distres Psikologis pada Mahasiswa Tingkat Akhir di Jakarta Brasie Pradana Sela Bunga Riska Ayu; Ita Soegiarto; Devin Mahendika; Agnes Angi Dian Winei; Siti Shofiah
Jurnal Psikologi dan Konseling West Science Vol 1 No 02 (2023): Jurnal Psikologi dan Konseling West Science
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (369.176 KB) | DOI: 10.58812/jpkws.v1i02.260

Abstract

Penelitian ini bertujuan untuk mengetahui pengaruh stres akademik dan mindful attention terhadap tekanan psikologis pada mahasiswa tingkat akhir di Jakarta. Desain survei cross-sectional digunakan untuk mengumpulkan data dari 200 mahasiswa tahun terakhir di Jakarta, dan komponen kualitatif dimasukkan untuk mendapatkan wawasan mendalam tentang pengalaman siswa dengan stres akademik dan tekanan psikologis. Hasilnya menunjukkan korelasi positif yang signifikan antara stres akademik dan tekanan psikologis, serta korelasi negatif yang signifikan antara stres akademik dan perhatian penuh perhatian. Data kualitatif menunjukkan bahwa faktor budaya dan sosial dapat berkontribusi terhadap stres akademik dan tekanan psikologis di kalangan mahasiswa di Jakarta. Temuan penelitian ini memiliki implikasi penting untuk desain intervensi yang ditujukan untuk mempromosikan kesejahteraan psikologis dan kinerja akademik mahasiswa di Jakarta, termasuk pelatihan manajemen stres, layanan konseling, dan intervensi berbasis mindfulness. Studi ini menekankan pentingnya mempertimbangkan faktor budaya dan sosial dalam desain intervensi yang bertujuan untuk mempromosikan kesejahteraan psikologis mahasiswa di Jakarta.
Analysis of the Impact of Globalization, Digital Technology, and Socio-Cultural Change on Community Identity in the Modern Era in Jakarta Loso Judijanto; Rian Ardianto; Ita Soegiarto
West Science Social and Humanities Studies Vol. 1 No. 06 (2023): West Science Social and Humanities Studies
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsshs.v1i06.496

Abstract

This research explores the intricate interplay between globalization, digital technology, socio-cultural changes, and community identity in Jakarta, utilizing a quantitative approach. The study, based on a sample of 150 participants, employs structural equation modeling to analyze the relationships among these constructs. Descriptive statistics reveal a diverse demographic profile, while the measurement model ensures the reliability and validity of the chosen variables. The structural model elucidates significant positive relationships: digital technology, globalization, and socio-cultural changes positively influence community identity. Demographic nuances, such as age, gender, and socio-economic status, further shape these dynamics. The findings contribute to understanding community dynamics in the modern era and provide valuable insights for policymakers and community leaders.
MENTAL HEALTH IMPACTS OF CLIMATE CHANGE: AN EMERGING PUBLIC HEALTH CONCERN Ita Soegiarto
Cognitionis Civitatis et Politicae Vol. 2 No. 1 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/politicae.v2i1.1753

Abstract

Climate change has increasingly been recognized as not only an environmental crisis but also a significant public health concern, particularly in terms of its impact on mental health. Extreme weather events, rising temperatures, and environmental degradation can lead to psychological stress, anxiety, and a sense of helplessness in affected populations. These mental health impacts are particularly pronounced in vulnerable communities with limited resources to adapt to changing environmental conditions. This study aims to explore the mental health consequences of climate change, focusing on how individuals and communities experience and respond to climate-related stressors. Using a mixed-methods approach, this research combines quantitative surveys and qualitative interviews to gather data from populations in areas highly affected by climate change. The study examines both the direct psychological impacts of climate events, such as post-traumatic stress disorder (PTSD), as well as the more subtle, chronic effects like eco-anxiety and feelings of loss. The findings indicate that climate change has a profound and multifaceted impact on mental health. Results show a significant increase in reported cases of anxiety, depression, and stress among those living in climate-vulnerable regions. Additionally, communities that have experienced extreme weather events, such as hurricanes or wildfires, report higher levels of trauma-related mental health issues. In conclusion, this research underscores the urgent need for mental health interventions as part of climate adaptation strategies. Addressing the mental health dimension of climate change is crucial for building resilient communities that can better cope with both the immediate and long-term effects of environmental disruption.
Evaluation of the Effectiveness of Lecturer Development Programs in the Context of Higher Education Management Saryanto Saryanto; Abdul Sahib; Ita Soegiarto; Musmulyadin Musmulyadin; Rahayu Retnaningsih
International Journal of Educational Narratives Vol. 2 No. 2 (2024)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/ijen.v2i2.821

Abstract

Background. Lecturer development is one of the right strategies in improving the quality of higher education. Purpose. However, evaluating the effectiveness of lecturer development programs is still an important concern in the context of higher education management to ensure their success and relevance. Method. This research aims to evaluate the effectiveness of lecturer development programs in the context of higher education management, with a focus on achieving goals, participant satisfaction, and its impact on lecturer performance. A mixed approach was used in this research, with a combination of quantitative and qualitative analysis. Data was collected through surveys with lecturers participating in the development program and in-depth interviews with development staff and related lecturers.   Results. The results of the analysis show that the majority of lecturers participating in the development program felt that the program was effective in improving their competence. However, there was variation in levels of satisfaction and perceived effectiveness between participants. Additionally, the impact of development programs on lecturer performance also varies, with some lecturers reporting significant improvements while others do not. Thorough evaluation of faculty development programs is critical to ensuring effective investment in higher education resources. Although most lecturers found the program useful, there were challenges in maintaining the program's consistency and relevance. Conclusion. Therefore, continuous improvement in the design, implementation and evaluation of lecturer development programs is needed to support continuous improvement in the quality of higher education. Hopefully this research can become a reference for future researchers in conducting research related to this field of research.
Strategy for Implementing Artificial Intelligence in the Lecturer Performance Evaluation System in Higher Education Roosita Cindrakasih; Jahara Jahara; Ita Soegiarto; Hadiansyah Ma’sum; Asmuri Asmuri
International Journal of Educational Narratives Vol. 2 No. 2 (2024)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/ijen.v2i2.822

Abstract

Background. Universities face challenges in improving the effectiveness of lecturer performance evaluation to support education and research development. Purpose. Artificial Intelligence (AI) offers the potential to optimize the evaluation process through automation, big data analysis, and smarter decision-making. Method. This research aims to identify and implement strategies for the implementation of artificial intelligence in lecturer performance evaluation systems in higher education. The main focus is to improve the objectivity, accuracy, and efficiency of the evaluation process, so as to provide more meaningful feedback to lecturers. This research uses qualitative and quantitative approaches. Data were obtained through literature studies, interviews with education and technology experts, and analysis of existing lecturer performance evaluation data. An AI system was developed to process and analyze evaluation data by utilizing machine learning algorithms to provide more accurate evaluation recommendations. Results. The result of this research is that implementing artificial intelligence in the lecturer performance evaluation system succeeded in improving the accuracy of the evaluation. The system is able to provide recommendations for lecturer development based on a thorough analysis of their performance. In addition, the time efficiency of the evaluation process was also significantly improved. Conclusion. The conclusion of this study shows that artificial intelligence implementation strategies can be successfully applied in lecturer performance evaluation systems in higher education. With increased objectivity, accuracy, and efficiency, this system makes a positive contribution to human resource management in the academic environment. It also encourages further implementation of AI technology in lecturer performance evaluation to improve the quality of higher education.