Garuda - Garba Rujukan Digital

Utilization of Short-Form Videos (TikTok, Reels, Shorts) to Increase Brand Engagement and Visibility Fatimah, Ade Fitria; Nasir, Mohamad
Journal of Digital Marketing and Search Engine Optimization Vol. 2 No. 1 (2025): Journal of Digital Marketing and Search Engine Optimization
Publisher : Politeknik Siber Cerdika Internasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59261/jseo.v2i1.7

The proliferation of social media has driven significant changes in digital marketing strategies, particularly through the utilization of short-form videos on platforms such as TikTok, Instagram Reels, and YouTube Shorts. Short-form videos are considered more effective in capturing the attention of modern audiences who prioritize speed of consumption and emotional engagement. This research aims to analyze how the use of short-form videos can increase brand engagement and visibility, as well as identify the key success factors of content on the three platforms. The research approach used is descriptive qualitative, with data collection techniques in the form of in-depth interviews with brand social media managers and observation of content performance on each platform. The results showed that content based on emotional storytelling, interactive elements, and the use of trending audio consistently increased engagement rates and brand visibility. TikTok showed the highest engagement rate, while Instagram Reels excelled in increasing visibility, and YouTube Shorts were effective in converting new followers. The success of the content is greatly influenced by understanding the characteristics of each platform's algorithm, authenticity of the narrative, and adapting to dynamic social trends. This study concludes that short-form content creation strategies need to integrate emotional, entertainment, informational, and algorithmic adaptation aspects to achieve maximum effectiveness. The practical implication of this research is the need for a cross-platform content approach that is adaptive and responsive to changes in digital audience behavior.

Political Implications of AI in Governance Fatimah, Ade Fitria
Journal of Political Innovation and Analysis Vol. 1 No. 1 (2024): Journal of Political Innovation and Analysis
Publisher : Politeknik Siber Cerdika Internasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59261/jpia.v1i1.1

The advent of artificial intelligence (AI) is rapidly transforming governance, policy-making, and political decision-making, introducing unprecedented opportunities and challenges for public administration. This study explores the multifaceted implications of AI adoption within government institutions, focusing on its influence on policy formulation, administrative efficiency, and decision-making processes. By analyzing case studies and recent advancements in AI-driven governance frameworks, the research evaluates how AI tools are being employed to streamline public services, improve policy accuracy, and increase governmental transparency. Additionally, the study investigates ethical and privacy concerns, highlighting the risks of bias, the erosion of accountability, and the potential for reduced human oversight in critical decision-making areas. Through a comparative analysis of various governance models, this paper underscores the dual nature of AI in governance: while AI has the potential to optimize administrative functions and foster data-driven policies, it also poses complex ethical questions that demand careful consideration. The findings provide a roadmap for policymakers, suggesting best practices for balancing technological benefits with democratic accountability, ultimately guiding the responsible integration of AI into governance. This study contributes to the discourse on AI’s role in reshaping the future of governance and offers insights into the sustainable adoption of AI in public administration.

The Influence of Emotional Engagement on Sentence Comprehension Process in a Second Language Fatimah, Ade Fitria
Journal of Psycho Linguistics Vol. 1 No. 2 (2025): Journal of Psycholinguistics
Publisher : Sekolah Tinggi Agama Islam Kuningan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59784/jpl.v1i2.6

This study aims to uncover the influence of emotional engagement on sentence comprehension processes in second language learning. Qualitative methods were applied with observation, in-depth interviews, and thematic analysis of actively engaged participants. Results show that positive emotions, such as enthusiasm and curiosity, play an important role in facilitating cognitive processing and encouraging collaborative participation. Negative emotions, on the other hand, can be a barrier, requiring appropriate emotion management strategies. The practical implication is the importance of affective learning design to improve motivation and sentence comprehension performance.

Analysis of Regional Minimum Wage Regulation and It's Implementation: A Case Study of A Multinational Company Azzahra, Adelia; Fatimah, Ade Fitria; Boateng, Kofi Agyenim; Ridzki, Mohamad Maulana
Eduvest - Journal of Universal Studies Vol. 4 No. 10 (2024): Journal Eduvest - Journal of Universal Studies
Publisher : Green Publisher Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59188/eduvest.v4i10.1695

This study examines the compliance of multinational companies with the Regional Minimum Wage (UMR) regulations in Indonesia and the factors contributing to violations. Although UMR is designed to protect workers' welfare, many companies still pay below the established standards. A qualitative research method was employed to collect data through in-depth interviews, field observations, and document analysis. The findings reveal that UMR violations occur across various industrial sectors, with violation rates ranging from 10% to 20%. Factors contributing to these violations include a lack of oversight, ineffective law enforcement, and legal uncertainties related to regulations that vary between regions. The research also identifies that UMR violations significantly impact workers' welfare, including difficulties in meeting basic needs and increased stress due to financial uncertainty. To enhance compliance, the study recommends improving oversight and law enforcement, harmonizing UMR standards across regions, and developing an anonymous complaint system for workers. These findings are expected to provide insights for policymakers, company management, and workers to improve the implementation of UMR regulations and enhance workers' welfare in Indonesia.

Political Implications of AI in Governance Fatimah, Ade Fitria
Journal of Political Innovation and Analysis Vol. 1 No. 1 (2024): Journal of Political Innovation and Analysis
Publisher : Politeknik Siber Cerdika Internasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59261/jpia.v1i1.1

The advent of artificial intelligence (AI) is rapidly transforming governance, policy-making, and political decision-making, introducing unprecedented opportunities and challenges for public administration. This study explores the multifaceted implications of AI adoption within government institutions, focusing on its influence on policy formulation, administrative efficiency, and decision-making processes. By analyzing case studies and recent advancements in AI-driven governance frameworks, the research evaluates how AI tools are being employed to streamline public services, improve policy accuracy, and increase governmental transparency. Additionally, the study investigates ethical and privacy concerns, highlighting the risks of bias, the erosion of accountability, and the potential for reduced human oversight in critical decision-making areas. Through a comparative analysis of various governance models, this paper underscores the dual nature of AI in governance: while AI has the potential to optimize administrative functions and foster data-driven policies, it also poses complex ethical questions that demand careful consideration. The findings provide a roadmap for policymakers, suggesting best practices for balancing technological benefits with democratic accountability, ultimately guiding the responsible integration of AI into governance. This study contributes to the discourse on AI’s role in reshaping the future of governance and offers insights into the sustainable adoption of AI in public administration.

Representation of Social Identity in Contemporary Prose: A Study of Literary Works that Depict Class Conflict Fatimah, Ade Fitria
Journal of Literary Prose and Society Vol. 1 No. 1 (2024): Journal of Literary Prose and Society
Publisher : Politeknik Siber Cerdika Internasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59261/jlps.v1i1.5

This study explores the representation of social identity and class conflict in contemporary prose, focusing on how literary works reflect and critique societal structures and inequalities. Through a close examination of selected novels and short stories, this research investigates the nuanced portrayal of class-based struggles and the ways in which characters navigate their identities within stratified social settings. By analyzing narrative techniques, character development, and thematic elements, the study seeks to understand how contemporary prose serves as a vehicle for both personal and collective resistance against class-based oppression. The research underscores the role of literature as a mirror of societal dynamics, revealing how authors employ literary devices to expose the complexities and challenges faced by individuals in different socioeconomic contexts. The findings aim to contribute to a deeper understanding of the intersection between literature and society, highlighting the power of prose to foster awareness and empathy regarding social inequality. This study ultimately positions contemporary prose as a critical space for examining, challenging, and reflecting on the realities of social identity and class conflict in modern society.

Ideological Representation in the Short Story Collection Corat-coret di Toilet by Eka Kurniawan: Gramsci's Hegemony Analysis Anggraeni, Astri; Fatimah, Ade Fitria; Darmawan, Auranita Gibrani
Journal of Literary Prose and Society Vol. 2 No. 1 (2025): Journal of Literary Prose and Society
Publisher : Politeknik Siber Cerdika Internasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59261/jlps.v2i1.11

This article explores ideological representation in Eka Kurniawan’s short story collection Corat-coret di Toilet using Antonio Gramsci’s theory of hegemony. The study aims to examine how dominant and subaltern ideologies are contested and negotiated within the selected stories. Employing a qualitative descriptive method, the research focuses on four short stories that exhibit significant ideological formations: "Doodling in the Toilet," "The Beauty Who Can’t Go Out at Night," "Peter Pan," and "The Capture of the Little Bread Thief." The findings reveal the presence of dominant ideologies such as idealism, feudalism, and capitalism, while the subaltern ideologies attempting negotiation include democracy, humanism, liberalism, and nationalism. Each story presents ideological resistance, yet the talks ultimately fail due to the persistence of dominant power. In Gramscian terms, the hegemony depicted in these narratives aligns with minimal hegemony, where consensus between rulers and the ruled is absent. The study also concludes that Eka Kurniawan, as an organic intellectual, fails to create a transformative ideological shift. Instead, the stories illustrate ongoing struggles without resolution. This research contributes to the understanding of literature as a site of ideological conflict and suggests that future studies examine other dimensions of Gramsci’s hegemony within Indonesian literary texts.

The Image of Lesbians in the Short Story "When Everyone Rejected My Presence Nearby" by Yael Stefany Sinaga Fatimah, Ade Fitria
Journal of Literary Prose and Society Vol. 2 No. 1 (2025): Journal of Literary Prose and Society
Publisher : Politeknik Siber Cerdika Internasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59261/jlps.v2i1.12

This paper aims to describe the image of lesbians in the short story "When Everyone Rejects My Presence Nearby" by Yael Stefany Sinaga which was published in 2019 on the Suarausu.co.id page. This short story was criticized by the rectorate of the University of North Sumatra (USU) for telling the life experience of a lesbian woman who fell in love with her female friend. This short story was chosen as the object of research because there is a depiction by the author of the life of being a lesbian and provides several views on lesbians. This research uses qualitative research methods. The data is analyzed through words, sentences, and dialogues that show the image of lesbians narrated in this short story. The results of this study show that the author describes a lesbian as someone who is considered despicable and disgusting by others. The author also portrays lesbians as not feeling that being a lesbian is wrong because she also loves her female partner seriously.

Estimating the Impact of Remote Work Policies on Productivity and Improving Welfare in Developing Countries: A Case Study of Indonesia Fatimah, Ade Fitria
Journal of Applied Econometric Vol. 1 No. 1 (2025): Journal of Applied Econometric
Publisher : Sekolah Tinggi Agama Islam Kuningan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59784/journaljoae.v1i1.4

The global COVID-19 pandemic has accelerated the adoption of remote work policies in various countries, including developing countries such as Indonesia. This policy has a significant impact on labor productivity patterns and worker welfare, especially in sectors that can adapt to digital technology. However, the long-term impact of remote work on productivity and well-being in developing countries is still a debate that requires empirical evidence. This study aims to estimate the impact of remote work policies on labor productivity and welfare improvement in Indonesia. This study uses econometric methods with panel data analysis from the national labor force survey and relevant secondary data, incorporating a fixed-effects model to control for unobserved variables that may affect worker productivity and welfare. Data was collected from several key economic sectors during the period before and after the widespread adoption of remote work. The results of the study show that remote work policies have a significant positive impact on productivity in the information and communication technology sector, while the traditional sector shows mixed results. The improvement in worker welfare was recorded mainly in the aspect of work-life balance, as well as the reduction of travel time and costs. These findings highlight the importance of policies that support digital infrastructure and skills development to optimize the benefits of remote work in Indonesia.

The Role of AI in Enhancing Agricultural Labor Efficiency: Perspectives from HR Managers in Agri-Tech Firms Savandha, Septien Dwi; Fatimah, Ade Fitria; Rani Santika; Komarudin
Digital Agriculture and Innovation Journal Vol. 1 No. 1 (2025): Digital Agriculture and Innovation Journal
Publisher : Politeknik Siber Cerdika Internasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59261/journaldaij.v1i1.1

Artificial intelligence (AI) 's rapid adoption in agriculture transforms labor efficiency, especially in agri-tech firms. This study explores the role of AI in enhancing labor productivity from the perspectives of human resource (HR) managers in the sector. The primary objective is to understand how AI technologies influence labor allocation, management practices, and workforce adaptation. Utilizing a qualitative research methodology, data were collected through semi-structured interviews with HR managers in agri-tech firms. Thematic analysis was applied to interpret the data, highlighting key trends in AI implementation. Results show that AI significantly reduces manual labor in repetitive tasks like crop monitoring and irrigation, allowing firms to reallocate human resources to higher-value roles. However, challenges such as employee resistance, skill gaps, and high implementation costs were also reported. HR strategies, including phased AI implementation and extensive training programs, have effectively managed workforce transitions. The study concludes that AI is vital for improving labor efficiency in agriculture, but its full potential requires careful management of human resources to mitigate resistance and enhance technical proficiency. These findings offer practical implications for HR managers and policymakers aiming to integrate AI sustainably into agricultural labor practices

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