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Perbedaan Pemahaman Konsep Siswa melalui Pendekatan Saintifik dan STEM pada Topik Rekayasa Genetika Latif, Rahmawati; Muis, Abd.; Azis, Andi Asmawati
UNM Journal of Biological Education Vol 7, No 2 (2024): Vol 7 No 2 Maret 2024
Publisher : Universitas Negeri Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35580/ujbe.v7i1.46858

Abstract

Penelitian ini adalah penelitian eksperimen semu (quasy eksperiment) yang bertujuan (i) mendeskripsikan pemahaman konsep melalui pendekatan saintifik pada topik rekayasa genetika; (ii) mendskripsikan pemahaman konsep melalui STEM pada topik rekayasa genetika; (iii) menganalisis perbedaan pemahaman konsep siswa melalui pendekatan saintifik dan STEM pada topik rekayasa genetika;. Populasi dalam penelitian ini adalah seluruh peserta didik kelas XII MIPA yang terdiri atas 7 rombongan belajar dan sampel yaitu kelas XII MIPA 1 dan kelas XII MIPA 4, pemilihan sampel dilakukan dengan teknik purposive sampling. Teknik pengumpulan data melalui tes pilihan ganda untuk pemahaman konsep. Data dianalisis dengan menggunakan analisis statistik deskriptif dan inferensial. Hasil penelitian menunjukkan bahwa (i) Pemahaman Konsep melalui Pendekatan Saintifik berada pada kategori sedan; (ii) Pemahaman Konsep melalui Pendekatan STEM berada pada kategori sedang; (iii) tidak terdapat perbedaan pemahaman konsep siswa melalui pendekatan saintifik dan STEM.
The Effect of Leverage and Political Connections on the Performance of State-Owned Enterprises Latif, Rahmawati; Usmany, Paul; Sososutiksno, Christina
Jurnal Ilmiah Manajemen Kesatuan Vol. 12 No. 5 (2024): JIMKES Edisi September 2024
Publisher : LPPM Institut Bisnis dan Informatika Kesatuan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37641/jimkes.v12i5.2895

Abstract

This study aims to examine the influence of leverage and political connections on the performance of state-owned enterprises (SOEs) with good corporate governance (GCG) as a moderating variable. The research uses a quantitative approach, with the population consisting of SOEs listed on the Indonesia Stock Exchange (IDX). The sample was selected using purposive sampling, resulting in 13 companies being chosen as the study's subjects. The results of the study indicate that leverage negatively affects company performance, meaning that the higher a company's debt, the lower its performance. Conversely, political connections have a positive impact on performance, suggesting that political involvement can provide advantages in enhancing a company's performance. Additionally, good corporate governance is found to positively influence company performance, reinforcing the importance of sound governance in supporting operational success. Good corporate governance also acts as a moderating variable. GCG weakens the negative relationship between leverage and company performance, while strengthening the positive impact of political connections on performance. This indicates that strong governance practices can help mitigate the adverse effects of high leverage and maximize the benefits of political connections that the company may have.
Penerapan Metode Targeted Sequencing pada Penyakit Kanker Latif, Rahmawati; Hala, Yusminah
BEST Journal (Biology Education, Sains and Technology) Vol 7, No 2 (2024): September 2024
Publisher : Program Studi Pendidikan Biologi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30743/best.v7i2.10424

Abstract

The purpose of this study is to examine the application of the Targeted Sequencing method for various types of cancer. This research uses a literature review method, involving the collection, analysis, and synthesis of relevant scientific sources to answer the research question. The results of the study, based on the literature approach, indicate that Targeted Sequencing is an alternative for detecting and identifying cancer, making it easier to determine appropriate treatments and therapies. Targeted Sequencing has significant potential in the personalization of cancer treatment. However, challenges such as tumor heterogeneity, panel limitations, high costs, and clinical validation need to be addressed to ensure maximum benefits for patients. Collaboration among genomic experts, clinicians, and researchers is necessary to overcome these obstacles.