Article Per Year (5 Year)
p-Index From 2021 - 2026
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All Journal Formosa Journal of Science and Technology (FJST) Golden Ratio of Data in Summary
Novelma Lastri
STIA Lancang Kuning Dumai
Humanities Computer Science & IT Economics, Econometrics & Finance Education Industrial & Manufacturing Engineering Social Sciences

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Job Satisfaction with The Performance of Employees of PT. Pos Indonesia (Persero) Dumai Branch Dwi Hartutik; Novelma Lastri; S. Suherman; Andi Desy Musdiana
Golden Ratio of Data in Summary Vol. 4 No. 2 (2024): May - October
Publisher : Manunggal Halim Jaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52970/grdis.v4i2.497

Abstract

Employee satisfaction at work is certainly inseparable from the company's role in managing its employees. The satisfaction that arises will certainly have a positive impact on increasing work productivity. This research was conducted with the aim of determining the effect of job satisfaction on the performance of employees of PT. Pos Indonesia (Persero) Dumai Branch. The symptoms encountered such as the suboptimal availability of work support facilities, frequent employee turnover and the finding of several results of employee work assessments that declined became the starting point for this study. The location of the research is PT Pos Indonesia Dumai Branch. The study used a survey involving a sample of 35 people with a census sampling technique. The results of the study were obtained that there was an effect of job satisfaction on employee performance to increase the company's revenue results with details of job satisfaction results of 69.3% and employee performance of 73.8%. Further research in the future is very necessary for scientific development, especially in looking at the relationship between job satisfaction and employee performance.
Industry 5.0-Based MSMEs Development Model to Increase Regional Economic Growth Novelma Lastri; Variza Aditiya; Dwi Hartutik; Said Mustafa; Refdi
Formosa Journal of Science and Technology Vol. 5 No. 8 (2026): August 2026
Publisher : PT FORMOSA CENDEKIA GLOBAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55927/fjst.v5i8.128

Abstract

The transformation towards Industry 5.0 requires MSMEs to integrate technology, human orientation, and sustainability in order to strengthen regional economic growth. This study aims to analyze the MSME development model based on Industry 5.0 through the relationship between technology adoption, human resource capabilities, stakeholder collaboration, and business performance. The research uses a qualitative approach with in-depth interviews, observations, and documentation of 15 informants consisting of MSME actors, local governments, academics, and business assistants. The data is analyzed thematically through reduction, categorization, and conclusion drawn. The results show that the integration of smart technologies, competency enhancement, and business ecosystem collaboration strengthen innovation, productivity, and market expansion. The research concludes that the model is relevant as an adaptive business administration framework to support MSMEs and regional economic growth
Developing an Artificial Intelligence-Based Business Model for MSMEs to Support the Future Economy Dwi Hartutik; Novelma Lastri; Andi Desy Musdiana; Suprasman; Variza Aditiya
Formosa Journal of Science and Technology Vol. 5 No. 8 (2026): August 2026
Publisher : PT FORMOSA CENDEKIA GLOBAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55927/fjst.v5i8.127

Abstract

Digital transformation encourages MSMEs to develop adaptive business models through the use of artificial intelligence, but its implementation still faces limitations in knowledge, resources, and organizational readiness. This research aims to analyze the process of integrating artificial intelligence in the development of MSME business models and its implications for efficiency, service innovation, and competitiveness. The research uses a qualitative approach with a case study design. Data were collected through semi-structured interviews with 15 informants consisting of MSME actors, business assistants, and technology practitioners, and analyzed using thematic analysis. The results show that artificial intelligence supports operational automation, marketing personalization, and data-driven decision-making. The study concludes that the success of artificial intelligence-based business model development is determined by digital literacy, resource readiness, and gradual implementation strategies
Co-Authors Andi Desy Musdiana Dwi Hartutik Refdi S. Suherman Said Mustafa Suprasman Variza Aditiya