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All Journal Indonesian Journal of Business Analytics (IJBA) Jurnal Pustaka AI : Pusat Akses Kajian Teknologi Artificial Intelligence
Ahmad Rivaldi
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Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Electrical & Electronics Engineering Mathematics

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Legal Implementation of the Provisions of Working Hours for Workers Who Receive Wages Under Umk (Case Study of Coffee Shops in Cirebon City) Ahmad Rivaldi; Ifan Firman Maulid; Farridzky Salsabila; Harmono; Gusti Yosi Andri
Indonesian Journal of Business Analytics Vol. 5 No. 3 (2025): June 2025
Publisher : PT FORMOSA CENDEKIA GLOBAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55927/ijba.v5i3.14532

Abstract

 Labor's role and position in national development are crucial. Therefore, employment development aims to improve the quality of labor and its participation in development. In addition, employment development also aims to increase protection for workers and their families, in line with human dignity and as mandated by the 1945 Constitution Article 27, paragraph 2: Every citizen has the right to work and a livelihood that is worthy of humanity. This study aims to examine the enforcement of legislation concerning MSME workers, specifically on working hours and salaries, in alignment with existing laws and regulations, while taking into account the constraints encountered by business operators in adhering to government policies. Methods. The research employed is empirical. Normative research is an investigative methodology that integrates normative and empirical viewpoints. The research on three coffee shops in Cirebon reveals a common issue concerning salaries, specifically that workers receive compensation below the Regency/City Minimum Wage (UMK). These data suggest that several business owners encounter similar issues with the remuneration provided to their employees. This contradicts the pay regulations stipulated in the Labor Law (Law No. 13/2003). The study's results indicate that research on the MSME sector reveals persistent issues in applying labor legislation concerning wages. The primary impediment to enforcing legal protections for workers in MSMEs arises not from employers' errors or ignorance but from the prevailing wage standards.
Klastering Perbandingan Metode Machine Learning untuk Klastering Penerima Bantuan Pendidikan Siswa Gusmansyah, Rafly; Rahmaddeni; Rohid; Ahmad Rivaldi; Daulay, Suandi
Jurnal Pustaka AI (Pusat Akses Kajian Teknologi Artificial Intelligence) Vol 5 No 2 (2025): Pustaka AI (Pusat Akses Kajian Teknologi Artificial Intelligence)
Publisher : Pustaka Galeri Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55382/jurnalpustakaai.v5i2.1139

Abstract

Penelitian ini membandingkan tiga algoritma clustering Fuzzy C-Means, K-Medoids, dan Hierarchical Clustering untuk mengelompokkan siswa sebagai calon penerima bantuan pendidikan berdasarkan data sosial. Data yang digunakan berasal dari MTsN 1 Kota Pekanbaru sebanyak 1.200 entri dan mencakup atribut seperti penghasilan orang tua, jumlah tanggungan, dan prestasi akademik. Principal Component Analysis (PCA) digunakan untuk mereduksi dimensi data sebelum proses klasterisasi. Hasil evaluasi menggunakan Silhouette Coefficient dan Davies-Bouldin Index menunjukkan bahwa Fuzzy C-Means memberikan performa terbaik dengan nilai Silhouette 0.449 dan DBI 0.779. K-Medoids mencatatkan nilai Silhouette 0.436 dan DBI 0.787, sedangkan Hierarchical Clustering memperoleh Silhouette 0.405 dan DBI 0.790. Visualisasi hasil menunjukkan bahwa distribusi kategori siswa “Sangat Layak”, “Layak”, dan “Tidak Layak” paling proporsional dihasilkan oleh Fuzzy C-Means. Temuan ini mengindikasikan bahwa Fuzzy C-Means lebih efektif dalam menangani data sosial yang kompleks dan sesuai untuk digunakan sebagai basis sistem pendukung keputusan dalam seleksi penerima bantuan pendidikan.
Co-Authors Daulay, Suandi Farridzky Salsabila Gusmansyah, Rafly Gusti Yosi Andri Harmono Ifan Firman Maulid Rahmaddeni Rahmaddeni Rohid