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HUMAN RESOURCE MANAGEMENT TRAINING IN THE DIGITAL ERA FOR MICRO, SMALL, AND MEDIUM ENTERPRISES (MSMES) SUPPORTED BY THE COOPERATIVES AND SMALL BUSINESS OFFICE: AN APPROACH TOWARDS ORGANIZATIONAL EFFECTIVENESS AND ADAPTATION TO TECHNOLOGICAL CHANGES Fitri Melawati
INTERNATIONAL JOURNAL OF SOCIETY REVIEWS Vol. 3 No. 3 (2025): MARCH
Publisher : Adisam Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The digital era presents unprecedented challenges and opportunities for Micro, Small, and Medium Enterprises (MSMEs) in adapting to rapid technological transformations. This qualitative library research examines the critical role of human resource management (HRM) training in enhancing organizational effectiveness and technological adaptation. By systematically analyzing existing literature, policy documents, and scholarly research, the study explores strategic approaches to developing workforce capabilities in the digital landscape. The research synthesizes contemporary theoretical frameworks and empirical insights to understand the impact of targeted HRM training programs on organizational resilience and technological integration.
ANALISIS PROBLEMATIKA KEBIJAKAN UPAH MINIMUM DAN TANTANGAN HUKUM DALAM INDUSTRI PERHOTELAN DI INDONESIA Abrori; Fitri Melawati; Noviyanti; Surnadi
I’tiqadiah: Jurnal Hukum dan Ilmu-ilmu Kesyariahan Vol. 3 No. 2 (2026): Juni: Itiqadiah
Publisher : Yayasan Baitul Hikmah al-Zain

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63424/itiqadiah.v3i2.653

Abstract

The issue of minimum wage policy in Indonesia, particularly within the hospitality industry, remains a complex and ongoing debate. This policy plays a significant role in improving the welfare of workers; however, its implementation faces legal challenges and discrepancies between government regulations and practical realities. This study aims to analyze the problems associated with the minimum wage policy in the hospitality sector and the legal challenges faced by both workers and employers in its enforcement. The research employs a normative juridical approach using library research methods, including an examination of laws and regulations, related literature, and field data regarding the implementation of the minimum wage policy in the hospitality industry. The findings of the study reveal that although the minimum wage policy has been established to protect workers, its implementation remains uncertain. Legal challenges include the misalignment between the government-set minimum wage and the financial capacity of hotels, as well as differing interpretations of existing regulations. Additionally, there are practices of non-compliance by some employers, which adversely affect workers. The study recommends strengthening supervision of minimum wage implementation, simplifying regulations, and tightening sanctions for businesses that violate the rules in order to achieve social justice for workers in the hospitality sector.
PENGARUH PENGGUNAAN ARTIFICIAL INTELLIGENCE TERHADAP PENGAMBILAN KEPUTUSAN BISNIS PADA UMKM Hilda Yuliastuti; Fitri Melawati; Iwadiah Iwadiah; Elisa Khairani; Rahma Diana
JURNAL LENTERA BISNIS Vol. 15 No. 2 (2026): JURNAL LENTERA BISNIS, Mei 2026
Publisher : POLITEKNIK LP3I JAKARTA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34127/jrlab.v15i2.2398

Abstract

The development of digital technology has driven the emergence of various innovations capable of supporting business activities, one of which is Artificial Intelligence (AI). AI technology enables business actors to process data quickly, produce accurate information, and provide recommendations that can be used as a basis for business decision-making. For Micro, Small, and Medium Enterprises (MSMEs), the use of AI is becoming increasingly important because it can help overcome resource limitations, improve operational efficiency, and strengthen competitiveness amidst increasingly dynamic business competition. This study aims to analyze the effect of the use of Artificial Intelligence on business decision-making in MSMEs. This study uses a quantitative approach with a survey method. Data were obtained by distributing questionnaires to MSMEs that have utilized digital technology in their business activities. The sampling technique used purposive sampling with the criteria for respondents being MSME owners or managers who have used Artificial Intelligence-based applications or systems. Data analysis was conducted using descriptive statistics, validity tests, reliability tests, and simple linear regression analysis to examine the effect of AI use on business decision-making. The results show that the use of Artificial Intelligence has a positive and significant effect on business decision-making in MSMEs. The use of AI has been proven to increase the speed of access to data analysis information, the ability to predict market conditions, and the effectiveness of business strategy development. Furthermore, AI helps MSMEs understand consumer needs, identify business opportunities, and reduce the risk of errors in decision-making. AI's ability to provide real-time information also enables businesses to respond to changes in the business environment more quickly and accurately.
The Influence of Policy Transparency, Public Participation, Bureaucratic Responsiveness, Service Quality, and Public Trust on Perceived Effectiveness of Local Economic Policy May Vitha Rahmadhani; Fitri Melawati; Irfansyah; Aryo Prakoso
Economics and Business Journal (ECBIS) Vol. 4 No. 5 (2026): July
Publisher : PT. Maju Malaqbi Makkarana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47353/ecbis.v4i5.505

Abstract

The effectiveness of local economic policy is essential for promoting sustainable regional development and improving community welfare. However, citizens' perceptions of policy effectiveness are influenced not only by policy outcomes but also by the quality of governance practices implemented by local governments. This study aimed to examine the influence of policy transparency, public participation, bureaucratic responsiveness, service quality, and public trust on the perceived effectiveness of local economic policy. A quantitative research approach with an explanatory research design was employed. Primary data were collected through a structured questionnaire distributed to 200 respondents selected using purposive sampling. The collected data were analyzed using the Statistical Package for the Social Sciences (SPSS), including descriptive statistics, validity and reliability tests, classical assumption tests, multiple linear regression analysis, the coefficient of determination (R²), t-tests, and F-tests. The results revealed that all measurement instruments were valid and reliable, and the data satisfied the assumptions required for multiple linear regression analysis. The findings indicated that policy transparency, public participation, bureaucratic responsiveness, service quality, and public trust each have a positive and significant influence on the perceived effectiveness of local economic policy. Furthermore, the F-test demonstrated that all independent variables simultaneously have a significant effect on the dependent variable. Among the five predictors, public trust was identified as the strongest determinant of perceived policy effectiveness. The study concludes that strengthening good governance practices through transparency, citizen participation, responsive bureaucracy, high-quality public services, and institutional trust can substantially improve public perceptions of local economic policy effectiveness. These findings provide practical implications for local governments in designing and implementing more effective, accountable, and citizen-oriented economic policies