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Mengidentifikasi Kecenderungan Pencarian Kata Kunci Berdasarkan Tren Pencarian Google untuk Meningkatkan Kualitas SEO Rudi Ferdiansah; Abi Surya Wijaya; Komarudin Komarudin; Muhammad Saied; Azka Muharam
Journal of Economics and Business UBS Vol. 12 No. 5 (2023): Special Issue
Publisher : UniSadhuGuna Business School

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52644/joeb.v12i5.465

Abstract

Penelitian ini bertujuan untuk mengidentifikasi kecenderungan pencarian kata kunci berdasarkan tren pencarian Google untuk meningkatkan kualitas SEO. Metode penelitian kualitatif digunakan dalam penelitian ini dengan teknik analisis konten yang mendalam pada 30 situs web di Indonesia yang berkaitan dengan topik yang dijadikan objek penelitian. Data yang dikumpulkan melalui wawancara mendalam dengan pemilik situs web dan pengguna internet di Indonesia. Hasil penelitian menunjukkan bahwa terdapat beberapa kata kunci yang paling banyak dicari pada tahun 2021 di Indonesia. Hasil analisis konten menunjukkan bahwa konten dengan kata kunci yang paling banyak dicari lebih cenderung untuk mendapatkan peringkat yang lebih tinggi dalam hasil pencarian Google. Selain itu, data dari wawancara menunjukkan bahwa kecenderungan pencarian kata kunci pada tahun 2021 telah berubah dan diperkirakan akan terus berubah di masa depan. Penelitian ini menyimpulkan bahwa penggunaan kata kunci yang paling banyak dicari dapat membantu meningkatkan kualitas SEO pada situs web di Indonesia. Oleh karena itu, situs web harus memperhatikan tren pencarian Google dan mengikuti perkembangan tren pencarian kata kunci untuk meningkatkan kualitas SEO pada situs web mereka.
HUMAN RESOURCE MANAGEMENT (HRM) PRACTICES IN IMPROVING EMPLOYEE-BASED PERFORMANCE TOTAL QUALITY MANAGEMENT (TQM) Vika Fransisca; Komarudin Komarudin
Proceedings of the 1st International Conference on Social Science (ICSS) Vol. 2 No. 2 (2023): Proceedings of the 3rd International Conference on Social Science (ICSS)
Publisher : Green Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59188/icss.v2i2.133

Abstract

Human resources (HR) is an important thing for the organization because it is the main driver of activities carried out by the organization. In this HR company is a company employee, the performance of quality employees will determine the success or failure of a company. Thus, the need for human resource management (HRM) based on total quality management (TQM) to always improve employee performance. This study aims to determine human resource management (HRM) practices in improving employee performance based on total quality management (TQM). This research uses a descriptive method with a qualitative approach. Descriptive research is used to explain various events that occur. Meanwhile, a qualitative approach to explain events that occur in real and reasonable situations. The results showed that appropriate human resource management (HRM) practices can develop its assets, namely human resources. Various coaching and development in order to encourage human resources to have quality shown by employee performance. So that the practice of human resource management (HRM) in improving employee performance based on Total Quality Management (TQM) is a very important effort to maintain and improve employee performance so that the company can survive in increasingly fierce competition
Ethics and Governance of AI in Education: Balancing Innovation and Accountability Komarudin Komarudin
International Journal of Social Research Vol. 3 No. 4 (2025): Insight : International Journal of Social Research
Publisher : Worldwide Research Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59888/insight.v3i4.59

Abstract

The integration of artificial intelligence (AI) in education has presented great opportunities for innovation, such as personalized learning, adaptive assessment, and administrative efficiency. However, these developments also pose ethical and governance challenges, especially related to data privacy, algorithmic bias, transparency, and the risk of increasing education gaps. This research aims to critically examine how ethical and governance principles can be designed to balance the benefits of AI innovation with the need for responsible accountability. The research method uses qualitative analysis of global policy documents, AI guidelines from UNESCO and OECD, and institutional case studies, complemented by semi-structured interviews with education and technology experts. The results show that although AI has great potential to transform pedagogical practices, existing governance mechanisms are still fragmented and have not been consistently implemented. The main gaps identified include low ethical literacy among educators, weak institutional accountability structures, and the absence of harmonized global policies. The contribution of this research is to propose a conceptual model of AI governance in education that integrates the principles of transparency, fairness, and accountability with innovation strategies. This model offers a direction for policymakers, institutions, and educators to use AI responsibly while safeguarding human values, thereby strengthening the discourse on the ethical use of AI in education.
Transformation of the Local Muslim Fashion Industry through E-Commerce in ASEAN Diana Magfiroh; Komarudin Komarudin
International Journal of Social Research Vol. 3 No. 2 (2025): Insight : International Journal of Social Research
Publisher : Worldwide Research Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59888/insight.v3i2.68

Abstract

The Muslim fashion industry is one of the creative sectors with rapid growth in the ASEAN region, along with the increase of the Muslim middle class, internet penetration, and halal lifestyle trends. Digital transformation through e-commerce is a key catalyst that allows local brands to expand their market reach to the regional level. However, this dynamic also presents challenges in the form of cross-border regulations, logistical barriers, low digital literacy, and global competition. This study aims to analyze the transformation of the local Muslim fashion industry through e-commerce in ASEAN by emphasizing the driving and inhibiting factors, local brand adaptation strategies, as well as economic, socio-cultural, regulatory, and technological implications. The research uses a qualitative approach with a descriptive-comparative design. Data was collected through semi-structured interviews with industry players, questionnaires open to consumers, and digital observations of marketplaces and social media of Muslim fashion brands in Indonesia, Malaysia, Brunei, and Thailand. Data analysis was carried out using thematic analysis techniques and source triangulation. The findings of the study show that e-commerce is driving the significant growth of the local Muslim fashion industry, with the main adaptation strategies in the form of omnichannel marketing, influencer collaboration, culture-based storytelling, and sustainable fashion innovation. The main barriers include logistics issues (35%), cross-border regulation (30%), digital literacy (20%), and global competition (15%). Digital transformation has proven to have implications for increasing market access, strengthening ASEAN Muslim identity, and the need for harmonization of halal regulations and digital technology integration.