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All Journal Dinasti International Journal of Education Management and Social Science Jurnal Ilmiah Manajemen Kesatuan Sibatik Journal : Jurnal Ilmiah Bidang Sosial, Ekonomi, Budaya, Teknologi, Dan Pendidikan Eduvest - Journal of Universal Studies
Meilia, Safina
Unknown Affiliation
Aerospace Engineering Arts Computer Science & IT Economics, Econometrics & Finance Education Health Professions Neuroscience Social Sciences

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Online Marketing Strategy for Fashion Products: A Case Study on Matahari Company Mokodompit, Eliyanti Agus; Meilia, Safina; Siagawati, Meli; Retno, Bayu; Faozi, Muhamad Ilham
Jurnal Ilmiah Manajemen Kesatuan Vol. 12 No. 4 (2024): JIMKES Edisi Juli 2024
Publisher : LPPM Institut Bisnis dan Informatika Kesatuan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37641/jimkes.v12i4.2630

Abstract

The marketing communication strategy of Toska Fashion is designed to increase customer engagement through the company website. In the current business environment, competition is intensifying, with companies facing increasing pressure to refine their communication strategies and highlight the advantages of their products. Matahari, a retailer offering both local and international clothing, has encountered challenges in online marketing. This presents an opportunity to examine the effectiveness of the marketing communication strategy, particularly in the context of websites integrated with social media platforms such as Instagram. The objective of these methods is to enhance customer engagement with Matahari Fashion products. The process of building customer engagement is comprised of several key elements, including the utilization of advertisements, the integration of shopping features on social media, the implementation of campaigns with prizes, the monitoring of after-sales interactions, and the engagement with social media features. These elements are expected to contribute to an increase in Matahari's customer engagement, which in turn should result in an uptick in the number of sales transactions.
Demographic Bonus to Support Economic Growth in Indonesia Meilia, Safina
Eduvest - Journal of Universal Studies Vol. 5 No. 2 (2025): Eduvest - Journal of Universal Studies
Publisher : Green Publisher Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59188/eduvest.v5i2.50809

Abstract

In Indonesia, the demographic bonus is an ongoing phenomenon with the peak expected to occur in 2030. This phenomenon can have a positive impact with an increase in labor supply and the potential of the community to save, on the other hand, the increasing population makes the needs of the community more and more. This study aims to determine the effect of demographic bonus on growth and how much growth prospects can occur in the future. The research method used is OLS time series data from 1986-2020. The results show that the TO, Population aged 15-64 and Unemployment variables significantly affect GDP growth. Meanwhile, the TPAK and GCF variables are not significant. From this, forcasting Indonesia's economic growth shows a downward trend if the government does not immediately form appropriate policies in dealing with this problem.
MEASURING THE USER EXPERIENCE OF THE SATUSEHAT APPLICATION WITH THE HEART METRICS METHOD APPROACH Antonius Alijoyo, Franciskus; Suhaerudin, Suhaerudin; Meilia, Safina
SIBATIK JOURNAL: Jurnal Ilmiah Bidang Sosial, Ekonomi, Budaya, Teknologi, Dan Pendidikan Vol. 3 No. 4 (2024): March
Publisher : Penerbit Lafadz Jaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54443/sibatik.v3i4.1854

Abstract

Satu Sehat application is a transformation of the Peduli Lindungi application as an important innovation step in an effort to utilise information technology to improve the quality of health services. This study aims to measure user satisfaction or user experience of the SatuSehat application using the HEARTMetric method so as to analyse the application from the point of view of user experience satisfaction which includes Happines, Engagment, Adoption, Retention and Task Success. Data collection was carried out by simple random sampling with respondents used in this research sampling test were 140 respondents. After the data is collected, the validity and reliability of the statement items are tested and analysed using Importance Performance Analysis. Based on the results of the analysis, the main priority that needs to be done is to increase and improve the quality of the Happiness variable. OneHealth application developers need to develop features that make it easier for users, innovate features and socialise the use of application features.
AI-driven Risk–Benefit Analysis of Plastic Packaging: Balancing Economic Upside Risks and Environmental Downside Risks Agung Wijaya, Agustinus; Meilia, Safina
Dinasti International Journal of Education Management and Social Science Vol. 7 No. 2 (2025): Dinasti International Journal of Education Management And Social Science (Decem
Publisher : Dinasti Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/dijemss.v7i2.5766

Abstract

Plastic packaging remains a critical yet controversial component of modern supply chains, offering economic efficiencies while posing significant environmental challenges. This study conducts a systematic literature review to explore how artificial intelligence (AI), automation, and machine learning (ML) can enhance plastic production processes, minimize waste, and promote sustainability. Key findings indicate that AI enables smarter material selection, design optimization, and energy-efficient manufacturing, addressing economic upside risks such as cost reduction and operational efficiency. Concurrently, AI mitigates environmental downside risks by improving recycling rates, reducing CO₂ emissions, and minimizing plastic pollution through advanced sorting and predictive analytics. Despite these benefits, challenges remain, including substantial implementation expenses, limited adoption among small and medium enterprises (SMEs), and insufficient data availability. The research emphasizes the necessity for balanced regulatory frameworks and technological investments to align economic objectives with ecological preservation. By consolidating current knowledge, this paper offers actionable insights for stakeholders navigating the complexities of plastic packaging within a circular economy framework, positioning AI as a pivotal tool in achieving sustainable equilibrium.
Co-Authors Agung Wijaya, Agustinus Antonius Alijoyo, Franciskus Faozi, Muhamad Ilham Mokodompit, Eliyanti Agus Retno, Bayu Siagawati, Meli Suhaerudin, Suhaerudin