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All Journal Journal on Education Jurnal Kewarganegaraan Jurnal Pengabdian Masyarakat dan Riset Pendidikan
Dana Aswadi
Universitas PGRI Kalimantan
Humanities Education Languange, Linguistic, Communication & Media Mathematics Social Sciences Other

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The Influence of Number of Industries, Nominal Wages of Labor and Educational Background on Employment Absorption in Medium and Large Industries Sector in Indonesia Ardiyanto Maksimilianus Gai; Titik Poerwati; Monsar Marito Sir; Dana Aswadi; Moch Arif Hernawan
Jurnal Kewarganegaraan Vol 7 No 2 (2023): Desember 2023
Publisher : UNIVERSITAS PGRI YOGYAKARTA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31316/jk.v7i2.5897

Abstract

Abstrak Tujuan dari penelitian ini adalah untuk mengetahui pengaruh tingkat pendapatan, lama pendidikan, dan jumlah industri terhadap penyerapan tenaga kerja di sektor industri. Data yang digunakan diklasifikasikan sebagai data sekunder. Pendekatan pengumpulan data dalam penelitian ini dilakukan dengan menggunakan data sekunder yang diperoleh dari Badan Pusat Statistik, serta sumber-sumber lain yang dapat dipercaya seperti publikasi, makalah, internet, dan karya ilmiah yang relevan. Penelitian ini menggunakan regresi data panel untuk analisis data. Hasil survei menunjukkan bahwa tingkat kompensasi memiliki dampak yang signifikan terhadap jumlah penyerapan tenaga kerja. Jumlah industri memiliki dampak yang menguntungkan dan cukup besar terhadap penyerapan tenaga kerja. Tingkat pendidikan yang lebih tinggi memiliki dampak yang menguntungkan dan cukup besar terhadap kemampuan untuk mendapatkan pekerjaan. Variabel upah, jumlah industri, dan lama sekolah memiliki dampak yang cukup besar terhadap penyerapan tenaga kerja. Kata Kunci: Tingkat Upah, Jumlah Industri, Lama Sekolah, Tenaga Kerja Abstract The objective of this study is to determine the impact of income level, years of education, and number of industries on labor absorption in the industrial sector. The data utilized is classified as secondary data. The data gathering approach for this research involved utilizing secondary data obtained from the Central Statistics Agency, as well as other credible sources such as publications, papers, the internet, and relevant scholarly works. The research employed panel data regression for data analysis. Survey results indicate that compensation levels have a significant impact on the amount of labor absorption. The number of industries has a favorable and considerable impact on labor absorption. Higher levels of education have a beneficial and substantial impact on the ability to secure employment. The variables of pay, number of industries, and years of schooling exert a substantial impact on labor absorption. Keywords: Wage Level, Number of Industries, Years of Schooling, Employment
Optimizing Language Learning with Relevant and Contextual Vocabulary Selection in Education Dana Aswadi
Journal on Education Vol 7 No 1 (2024): Journal on Education: Volume 7 Nomor 1 Tahun 2024
Publisher : Departement of Mathematics Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/joe.v7i1.7714

Abstract

Effective language learning requires the right approach in selecting vocabulary used in the teaching process. Selecting relevant and contextual vocabulary is the main key to optimizing students' understanding of learning materials. Students' understanding and language skills can significantly improve with the use of relevant vocabulary that relates to their daily lives and contextual vocabulary that is appropriate for the situation or topic under discussion. This study aims to explore how choosing the right vocabulary can optimize language learning at various levels of education. The results show that choosing vocabulary that is relevant to students' social and cultural experiences, as well as vocabulary that is appropriate to the learning context, can deepen students' understanding and improve their language skills. At the elementary, secondary, and tertiary levels, the relevance and contextuality of vocabulary affect the way students relate learning materials to their real lives, so that learning becomes more meaningful. Furthermore, this study highlights the difficulties in choosing suitable vocabulary and emphasizes the need for teachers to receive training in adapting learning materials that link vocabulary to wider social, cultural, and academic contexts.
The Influence Of Technology Readiness, Professional Development And Teaching Autonomy On Pedagogical Innovation Of Teaching Staffs In Higher Education: Penelitian Lenny Nuraeni; Firman Aziz; Susatyo Adhi Pramono; Adam Latuconsina; Jaenal Mutakim; Dana Aswadi
Jurnal Pengabdian Masyarakat dan Riset Pendidikan Vol. 4 No. 4 (2026): Jurnal Pengabdian Masyarakat dan Riset Pendidikan Volume 4 Nomor 4 April - Juni
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jerkin.v4i4.6294

Abstract

The research investigation wants to examine the combined impact of Technology Readiness and Professional Development together with Teaching Autonomy on Pedagogical Innovation which instructors implement at universities. The researchers used a quantitative research design to conduct their study which involved surveying 170 university faculty members who had been selected through purposive sampling. The study required respondents to meet three conditions which included being an active lecturer who had worked at least two years while using learning technology and completing professional development training. The research team used multiple linear regression analysis to evaluate their data. The researchers conducted validity and reliability tests together with normality assessment and heteroscedasticity testing and multicollinearity evaluation before they initiated their data analysis procedures. The three variables of Technology Readiness and Professional Development and Teaching Autonomy together with their individual components which cover Pedagogical Innovation showed a positive relationship that reached statistical significance. The research shows that universities can achieve more pedagogical innovation by two actions which develop technological readiness through continuous professional development and provide professors with academic independence during their teaching process. The research aims to develop higher education standards which will benefit Indonesian higher education institutions.
The Influence of Number of Industries, Nominal Wages of Labor and Educational Background on Employment Absorption in Medium and Large Industries Sector in Indonesia Ardiyanto Maksimilianus Gai; Titik Poerwati; Monsar Marito Sir; Dana Aswadi; Moch Arif Hernawan
Jurnal Kewarganegaraan Vol 7 No 2 (2023): Desember 2023
Publisher : UNIVERSITAS PGRI YOGYAKARTA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31316/jk.v7i2.5897

Abstract

Abstrak Tujuan dari penelitian ini adalah untuk mengetahui pengaruh tingkat pendapatan, lama pendidikan, dan jumlah industri terhadap penyerapan tenaga kerja di sektor industri. Data yang digunakan diklasifikasikan sebagai data sekunder. Pendekatan pengumpulan data dalam penelitian ini dilakukan dengan menggunakan data sekunder yang diperoleh dari Badan Pusat Statistik, serta sumber-sumber lain yang dapat dipercaya seperti publikasi, makalah, internet, dan karya ilmiah yang relevan. Penelitian ini menggunakan regresi data panel untuk analisis data. Hasil survei menunjukkan bahwa tingkat kompensasi memiliki dampak yang signifikan terhadap jumlah penyerapan tenaga kerja. Jumlah industri memiliki dampak yang menguntungkan dan cukup besar terhadap penyerapan tenaga kerja. Tingkat pendidikan yang lebih tinggi memiliki dampak yang menguntungkan dan cukup besar terhadap kemampuan untuk mendapatkan pekerjaan. Variabel upah, jumlah industri, dan lama sekolah memiliki dampak yang cukup besar terhadap penyerapan tenaga kerja. Kata Kunci: Tingkat Upah, Jumlah Industri, Lama Sekolah, Tenaga Kerja Abstract The objective of this study is to determine the impact of income level, years of education, and number of industries on labor absorption in the industrial sector. The data utilized is classified as secondary data. The data gathering approach for this research involved utilizing secondary data obtained from the Central Statistics Agency, as well as other credible sources such as publications, papers, the internet, and relevant scholarly works. The research employed panel data regression for data analysis. Survey results indicate that compensation levels have a significant impact on the amount of labor absorption. The number of industries has a favorable and considerable impact on labor absorption. Higher levels of education have a beneficial and substantial impact on the ability to secure employment. The variables of pay, number of industries, and years of schooling exert a substantial impact on labor absorption. Keywords: Wage Level, Number of Industries, Years of Schooling, Employment
Co-Authors Adam Latuconsina Ardiyanto Maksimilianus Gai Firman Aziz jaenal mutakim Lenny Nuraeni, Lenny Moch Arif Hernawan Monsar Marito Sir Susatyo Adhi Pramono, Susatyo Adhi Titik Poerwati