Hawani, Saniah Lidiya
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The Role of Human Resource Management in Addressing Unpaid Overtime Practices at PT Sai Apparel Industries, Grobongan, Central Java, and Its Implications for Employee Welfare Harmen, Hilma; Gracia Manurung, Heva; Hawani, Saniah Lidiya; Gloria S. Sipahuta, Paskah; Agriyani, Siti
Jurnal Manajemen Bisnis Eka Prasetya Vol 11 No 1 (2025): Edisi Maret 2025
Publisher : LPPM STIE EKA PRASETYA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47663/jmbep.v11i1.605

Abstract

The issue of unpaid overtime wages remains a significant labor challenge in Indonesia, particularly in the manufacturing sector. The case of PT Sai Apparel Industries in Grobogan, Central Java, highlights how discrepancies in work hour records and weak internal oversight lead to employees not receiving their rightful wages as mandated by Law No. 13 of 2003 on Manpower. This study employs a descriptive qualitative method with a literature review approach to analyze the role of Human Resource Management (HRM) in addressing unpaid overtime practices and preventing future violations. Findings indicate that non-compliance with labor regulations negatively impacts employee well-being, increases turnover rates, and damages corporate reputation. HRM plays a strategic role in ensuring compliance through technology-based work hour tracking, labor law training, regular audits, and transparent grievance mechanisms. By implementing these strategies, companies can mitigate legal risks, enhance employee welfare, and foster a fair and sustainable work environment.
Evaluasi Keefektifan Metode Moving Average dan Exponential Smoothing sebagai Pendekatan Statistik dalam Memprediksi Nilai Tukar Rupiah terhadap Dolar AS Simanjuntak, Loranty Folia; Hawani, Saniah Lidiya; Nazura, Ananda; Sipahutar, Paskah Gloria S.
Accounting Research Unit (ARU Journal) Vol 6 No 2 (2025): Accounting Research Unit (Aru Journal)
Publisher : Program Studi Akuntansi PSDKU Universitas Pattimura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/arujournalvol6iss2pp116-125

Abstract

Exchange rate of the Indonesian Rupiah against the US Dollar is a crucial economic indicator that significantly impacts Indonesia's macroeconomic stability. Exchange rate fluctuations can affect trade, investment, inflation, and monetary policy. Therefore, an accurate forecasting method is essential to support economic decision-making. This article aims to evaluate the effectiveness of Moving Average and Exponential Smoothing methods in predicting the Rupiah exchange rate against the US Dollar. Using a qualitative approach based on literature review, this study compares findings from various previous studies on these two methods. The analysis results indicate that Exponential Smoothing is more effective in highly volatile market conditions due to its adaptability to trend changes, while Moving Average performs better in stable market conditions. These findings provide insights for academics, financial analysts, and policymakers in selecting appropriate forecasting methods to support economic stability.