Herlina
Universitas Pendidikan Indonesia

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Pengaruh Locus of Control dan Dukungan Orang Tua terhadap Identitas Karier Remaja Akhir Rizkya Putri Maulida; Herlina
Journal of Islamic Psychology and Behavioral Sciences Vol. 4 No. 1 (2026): Journal of Islamic Psychology and Behavioral Sciences
Publisher : CV. Doki Course and Training

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61994/jipbs.v4i1.1286

Abstract

Penelitian ini bertujuan untuk melihat pengaruh locus of control dan dukungan orang tua terhadap identitas karier remaja akhir di Indonesia. Latar belakang penelitian ini didasarkan pada penemuan terdahulu bahwa pembentukan identitas karier, yang merupakan tugas perkembangan pada masa remaja akhir dipengaruhi oleh faktor personal dan faktor kontekstual. Penelitian ini kemudian dapat memperkaya teori Erikson mengenai perkembangan psikososial terutama di tahap remaja dengan tugas perkembangan memecahkan krisis identity vs identity confusion. Implikasi praktis dari penelitian ini juga dapat dimanfaatkan oleh orang tua, guru, dan konselor sebagai faktor eksternal yang dapat berpengaruh terhadap masa perkembangan remaja. Penelitian ini menggunakan metode kuantitatif dengan desain korelasional. Subjek pada penelitian ini berjumlah 391 orang Warga Negara Indonesia berusia 18-22 tahun atau sedang berada pada fase perkembangan remaja akhir serta masih memiliki orang tua. Instrumen yang digunakan dalam penelitian ini adalah Rotter’s Locus of Control (I-E) Scale, instrumen dukungan orang tua pada domain karier, dan The Utrecht Management of Identity Commitments Scale (U-MICS). Jenis analisis data pada penelitian ini menggunakan analisis regresi linear sederhana dan analisis regresi linear berganda. Penelitian ini menunjukkan bahwa terdapat pengaruh dari locus of control dan dukungan orang tua terhadap identitas karier remaja akhir di Indonesia, dengan kekuatan pengaruhnya yaitu sebesar R² = 0.028. Pada penelitian ini dukungan orang tua lebih berpengaruh terhadap identitas karier dibandingkan locus of control.
Soft Skills in Jeopardy: The Impact of AI on Future Generations of Students Rudi Susilana; Budi Setiawan; Herlina; Sri Rahayu
Indonesian Journal of Educational Research and Review Vol. 8 No. 1 (2025): April
Publisher : Universitas Pendidikan Ganesha

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23887/ijerr.v8i1.82875

Abstract

The emergence of Artificial Intelligence (AI) in higher education has sparked debates about its impact on teaching and learning methodologies. The utilization of AI in universities presents significant challenges, particularly about students' proficiency. However, the impact of students heavily relying on AI-generated outcomes, leading to a decline in their skills and potential career prospects, has not been explored. Successful organizations acknowledge the importance of individual employees and prioritize their safeguarding and assistance. Career expectations typically pertain to an individual's abilities and proficiency. These expectations encompass both the outward expression of individual professional values and the inner drives. The study utilizes descriptive statistical approaches to analyze creativity, critical thinking, emotional intelligence, and leadership in order to discover correlations between artificial intelligence and the decline of students' soft skills. The findings indicate that over 50% of the students in the sample (n=150) across various study programs at the university have shown favorable attitudes towards the utilization of AI in education or their academic pursuits. However, an almost equal number of students have expressed apprehensions regarding the potential impact of AI on the development of their soft skills in the future. Significant statistical differences were observed in all analyzed grouping variables of artificial intelligence (AI) and soft skills, with notable distinctions between genders and fields of study. Additionally, students are experiencing unease regarding their personal and academic growth due to excessive dependence on AI.