This paper aims to explain the relationship between the variables of Principal Leadership (PL), Extracurricular in Schools (ES), Parents’ Participation (PP), Community Leaders (CL), and Border Area Development (BAD) on Strengthening Character Education (SCE). and Strengthening Character Education (SCE) on Improving Tolerance (IT) and Pancasila Student Profiles (PSP). This paper is a case study in the state border area in West Kalimantan Province which is carried out in 6 (six) Senior High Schools. The main data collection was carried out by distributing questionnaires with a sample size of 180 grade 11 students at the school who were obtained randomly (random sampling). Analysis using Structural Equation Modeling (SEM) with the help of the LISREL 8.70 program. The results showed PL, ES, PP, CL, and BAD on SCE, while SCE had a positive effect on IT and PSP. On the other hand, efforts to strengthening character education need to pay attention to the strength of indicators that contribute to each of these influence variables, including: the vision of the principal's character education, the availability of teaching staff / experts to support character education, provision of educational facilities character, socialization to increase awareness and tolerant behavior by involving non-formal leaders, attention to development that leads to increased understanding of differences in beliefs and ethnicities, and indicators of the availability of character education teachers in competent schools. Emphasis on these indicators will increase student tolerance and foster the profile of Pancasila students. Received: 9 April 2021 / Accepted: 19 August 2021 / Published: 5 September 2021
This study aimed to analyze the factors that influence employee talent management and their impact on job satisfaction, job performance, and commitment sustainability. The study was conducted on workers in five companies located in Karawang Regency (pallet plastics, automotive, and hospitality industries) and Bogor (garment industry) located in the province of West Java, and South Tangerang (heavy tractor industry). This sample of respondents will answer the questionnaire in the questionnaire.) in Banten province. Data collection was conducted through questionnaire sharing with a sample of 250 employees, as well as interviews and focus group discussions (FGD) with a number of stakeholders. Questionnaires before being applied in field studies were examined using Pearson and Cronbach Alpha approaches in order to identify the level of validity and reliability. The analysis of the research was conducted using Structural Equation Modeling (SEM) approach with the help of the Lisrel 8.70 program. The results show that organizational culture factors, transformational leadership, and job sharing have a positive impact on employee talent management, and talent management itself has an impact on job satisfaction, job performance, and commitment sustainability. It is recommended in the development of this talent-based workforce that the above factors should be considered along with the highest contributing factors to each factor. Received: 22 March 2021 / Accepted: 27 July 2021 / Published: 5 September 2021
Higher education institutions/the Educational Personnel Education Institution (LPTK) have experienced an increase in producing qualified teacher in this couple of years. At the same time, universities have responsibility to increase the qualifications of teachers and the quality of teacher. Data collected from Accreditation Incentive Fund (DIA) program is used to increase the management capacity of the Institute of Education Personnel Management (LPTK) in 2009 to 2012. The data of this study include five aspects of DIA fund utilization, namely: improvement of governance, program management, learning processes, academic atmosphere, and information systems. This study investigates the impact of the accreditation incentive fund intervention on the quality of LPTK management. We hypothesize that DIA incentive funds to LPTK has an impact in improving the quality of LPTK management. Based on multilevel analysis, we demonstrate that the DIA intervention improved the quality of management significantly. The results indicate that the impact of DIA incentive funding can be only seen when the PGSD group received the DIA (experimental group) compared to the partner group and the non-educational group.
ABSTRAKPenelitian ini bertujuan untuk mengkaji: 1) Pendataan Anak Tidak Sekolah (ATS), 2) Faktorfaktor penyebab anak tidak sekolah dan anak kembali ke sekolah, 3) Upaya dan motivasi kembali ke sekolah. Masalah yang terjadi di lapangan yaitu terdapat kesenjangan data anak tidak sekolah akibat koordinasi pendataan yang kurang lancar antar instansi/perangkat pemerintahan sehingga masih ditemukannya anak tidak sekolah yang belum terdata. Untuk itu diperlukan perbaikan dari sisi koordinasi antara instansi pemerintah agar pendataan anak tidak sekolah bisa berjalan baik dan tindak lanjut pemerintah daerah untuk mengembalikan mereka agar bersekolah kembali bisa lebih maksimal. Hasil penelitian menunjukkan bahwa 1) Pendataan anak tidak sekolah terkendala sinkronisasi data mulai dari tingkat desa; 2) Faktorfaktor penyebab anak tidak sekolah yaitu ekonomi, sosial dan geografis: dan 3) Upaya dan memotivasi anak tidak sekolah kembali ke sekolah melalui program indonesia pintar melalui; (i) lembaga Dikmas bekerjasama dengan stakeholder memotivasi agar anak dapat kembali bersekolah dengan memperoleh dana Program Indonesia Pintar (PIP); (ii) jaminan bagi lembaga pendidikan masyarakat (Pusat Kegiatan Belajar Masyarakat (PKBM), Lembaga Kursus dan Pelatihan (LKP) dan Sanggar Kegiatan Belajar (SKB)) memperoleh dana pengelolaan bagi siswa pemegang Kartu Indonesia Pintar (KIP), (iii) orangtua anak tidak sekolah memotivasi agar anaknya bisa kembali bersekolah (iv) materi pembelajaran yang beragam bukan sekedar baca/tulis dan berhitung. Untuk daerah yang terdata melebihi capaian target disebabkan daerah tersebut merupakan daerah kantong anak tidak sekolah, yaitu Kabupaten Bogor dan Kota Gorontalo. Kata kunci : PIP, ATS, PKBM, LKP, SKB. AbstractThis study aims to examine: 1) Data Collection of Out of School Children (OSC), 2) Factors causing children not in school and children to return to school, 3) Efforts and motivation to
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