Dian Firmayasari
Universitas Muhammadiyah Bulukumba

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Implementasi Praktik Kerja Lapangan di Dinas Pendidikan Kabupaten Gowa: Penguatan Keterampilan Mahasiswa dalam Tata Kelola Pendidikan Maya Sari Wahyuni; Rahmat Syam; Sahid; Dian Firmayasari; Nur Ahniyanti Rasyid
Jurnal Abdi Bangsa Vol. 1 No. 1 (2025): Volume 1 Nomor 1 Juni 2025
Publisher : Jurnal Abdi Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61220/jab.v1i1.936

Abstract

Field Work Practice (PKL) at the Education Office of Gowa Regency for two months (June 10 - August 9, 2024) aims to provide students with real work experience and develop practical skills. The author was involved in operational and administrative activities such as verifying teacher allowance documents, compiling educator data, and serving as a committee member in educational quality improvement programs. A supportive work environment, friendly staff, and adequate facilities facilitated the smooth implementation of the PKL. No significant obstacles were encountered, with the author maintaining discipline and focus. The results show that the PKL offers valuable practical experience for students and makes a positive contribution to the institution and community, while preparing students to face the workforce and supporting the improvement of local education quality.
Autokorelasi Pada Pembentukan Grafik Kendali Komponen Utama Nur Ahniyanti Rasyid; Dhian Eka Wijaya; Dian Firmayasari; Harianto; Muhammad Isbar Pratama
Journal of Mathematics, Computations and Statistics Vol. 5 No. 2 (2022): Volume 05 Nomor 02 (Oktober 2022)
Publisher : Jurusan Matematika FMIPA UNM

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Abstract

The formation of control chart for autocorrelated data can not be done. This research aims to analyse the effect of autocorrelated data on the formation of principal component control chart. A case study was performed on simulated data with two variables and they were applied on the data of climate elements in Makassar city including air temperature, solar radiation, air humadity,and wind speed. The analysis of the effect of the autocorrelated data was conducted inthree steps, namely: (1) the establishment of the structure of variance-covariance matrix of the autocorrelated data; (2) the establishment of principal component control chart based on the largest eigen valu; and (3) In forming of simulation with two variables. The result indicate that if the data are negatively autocorrelated with avalue of -0,9-(-0,5), the controllimits will be widened, and if the value is -0,5-(-0,1), the control limits will be narrowed.