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All Journal International Journal of Business, Economics, and Social Development International Journal of Global Operations Research International Journal of Quantitative Research and Modeling International Journal of Ethno-Sciences and Education Research International Journal of Humanities, Law, and Politics International Journal of Health, Medicine, and Sports International Journal of Linguistics, Communication, and Broadcasting
Lianingsih, Nestia
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Religion Humanities Computer Science & IT Decision Sciences, Operations Research & Management Dentistry Economics, Econometrics & Finance Education Engineering Environmental Science Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Medicine & Pharmacology Nursing Physics Public Health Social Sciences Transportation Other

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Digital Rhetoric and Algorithmic Ethics: A Literature Review of Digital Communication Ibrahim, Riza Andrian; Lianingsih, Nestia
International Journal of Linguistics, Communication, and Broadcasting Vol. 3 No. 2 (2025): International Journal of Linguistics, Communication, and Broadcasting
Publisher : Communication In Research And Publications

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46336/ijlcb.v3i2.224

Abstract

In the digital age, communication has become increasingly shaped by algorithmic systems that structure interaction, visibility, and persuasion across online platforms. This literature review explores the convergence of digital rhetoric and algorithmic ethics to understand how meaning-making and moral agency are co-constructed in contemporary digital environments. Digital rhetoric, concerned with how persuasion operates in multimodal and interactive contexts, now intersects with algorithmic processes that govern content distribution and user engagement. Simultaneously, the rise of algorithmic ethics addresses the sociotechnical implications of bias, opacity, and accountability embedded in machine-driven communication infrastructures. Through a qualitative synthesis of recent scholarship, this study identifies four core themes: algorithmic persuasion, content visibility and bias, platform governance, and ethical resistance. The findings show that algorithms are no longer neutral tools but rhetorical actors that influence how narratives are constructed and circulated. Moreover, the literature highlights growing concerns about fairness, transparency, and user autonomy, especially in the realms of political discourse, media consumption, and educational technologies. The study concludes that navigating digital communication today demands both rhetorical literacy and ethical sensitivity. A deeper understanding of how algorithmic systems persuade, exclude, or amplify certain voices is vital for promoting equitable and informed public discourse. This review contributes to a critical framework that connects digital rhetoric and algorithmic ethics, offering insights into the rhetorical and moral complexities of our algorithmically mediated world.
The Role of Guidance and Counseling Teachers in Addressing Juvenile Delinquency: A Literature Review Lianingsih, Nestia; Lestari, Mugi
International Journal of Ethno-Sciences and Education Research Vol 5, No 1 (2025)
Publisher : Research Collaboration Community (RCC)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46336/ijeer.v5i1.840

Abstract

Juvenile delinquency is an increasingly worrying phenomenon in various countries, including Indonesia. This study aims to explore the role of Guidance and Counseling (BK) Teachers in overcoming juvenile delinquency through a literature review method. This study analyzes prevention strategies, reactive approaches, and curative efforts carried out by BK teachers to deal with deviant behavior committed by adolescents. The results of the study indicate that BK teachers have a key role in preventing and overcoming juvenile delinquency through various approaches, including providing information, group guidance, mediation, home visits, and individual and group counseling. However, the implementation of these strategies often faces internal, external, and institutional obstacles, such as students' lack of confidence to open up, minimal parental attention, and limited school resources. This study emphasizes the importance of a collaborative approach involving teachers, parents, and the community in dealing with juvenile delinquency in a comprehensive and sustainable manner
Ethno-Sciences and the Transformation of Traditional Agricultural Systems in Teluk Bintuni: Between Preservation and Modernization Jaizul, Alim; Sulistya, Astrid; Lianingsih, Nestia
International Journal of Ethno-Sciences and Education Research Vol 5, No 2 (2025)
Publisher : Research Collaboration Community (RCC)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46336/ijeer.v5i2.938

Abstract

Traditional farming systems are a form of long-term interaction between humans and their environment that manifests ecological and cultural adaptation. This study aims to explore the dynamics between the preservation of local knowledge and the pressures of modernization in the transformation of traditional farming systems of indigenous peoples in Teluk Bintuni, West Papua. Using an ethno-science approach with qualitative-descriptive methods through participatory observation, in-depth interviews, FGDs, and documentation studies in the Moskona, Wamesa, and Sumuri indigenous communities. The results of the study indicate that traditional farming systems are still maintained with high dependence on sago (85%), sweet potatoes (72%), taro (66%), and bananas (54%) as sources of food and cultural identity. The transformation of the farming system does not follow a linear pattern from traditional to modern, but rather creates a hybrid system that selectively combines traditional elements with modern technology. Indigenous peoples are not passive in facing change, but actively negotiate and adapt based on their ecological and cultural interests. The ethno-science approach offers a framework for integrating local knowledge into development planning, without ignoring the ecological and spiritual dimensions of indigenous peoples. Dialogue between local knowledge systems and modern science can produce more adaptive and inclusive agricultural policies, especially in indigenous areas such as Teluk Bintuni that face pressure from natural resource exploitation.
Contextual Learning as a Means to Improve Elementary School Students' Mathematical Literacy Skills Hidayana, Rizki Apriva; Lianingsih, Nestia
International Journal of Ethno-Sciences and Education Research Vol 5, No 2 (2025)
Publisher : Research Collaboration Community (RCC)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46336/ijeer.v5i2.935

Abstract

Mathematical literacy in the Programme for International Student Assessment (PISA) emphasizes students’ ability to analyze, justify, and effectively communicate ideas, as well as to formulate, solve, and interpret mathematical problems across various forms and contexts. The PISA assessment focuses on real-life problems rather than solely on typical classroom-based questions. Based on cognitive development stages, elementary school students are generally in the concrete operational stage, which means they require tangible objects that can be perceived through the senses. Since mathematics learning tends to be abstract, students need support in the form of media and teaching aids to clarify concepts delivered by the teacher, making them easier to understand. Mathematics instruction is expected to provide an integrated, comprehensive, and holistic understanding of the material. This understanding not only fulfills the demands of mathematical content but also offers practical benefits to students. This aligns with the contextual learning approach, which emphasizes active student engagement throughout the learning process, enabling them to discover concepts independently and relate them to real-life situations. Contextual learning is carried out through four main stages: providing motivation, conceptual understanding, application, and assessment—all of which are grounded in the core components of contextual learning.
Empowering Algebra Learning with AI-Based Adaptive Systems for High School Students Lestari, Mugi; Saputra, Moch Panji Agung; Lianingsih, Nestia
International Journal of Ethno-Sciences and Education Research Vol. 5 No. 3 (2025): International Journal of Ethno-Sciences and Education Research (IJEER)
Publisher : Research Collaboration Community (Rescollacom)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46336/ijeer.v5i3.1039

Abstract

Learning algebra is often challenging for high school students due to its abstract nature, leading to loss of motivation. This study designed and implemented an Adaptive AI Platform that personalized practice problems based on real-time performance analysis and student interests. A quasi-experimental study with 120 10th grade students demonstrated a significant effect of the platform on improving academic achievement. The experimental group (n=60) using the platform demonstrated significantly higher TPA posttest scores (adjusted mean: 81.95) than the control group (n=60) (adjusted mean: 73.65), after controlling for pretest scores. In addition, the platform substantially increased students’ learning motivation and self-confidence (Cohen’s d = 2.48 for the experimental group), supported by instant feedback and difficulty adaptation. The integration of Deep Knowledge Tracing (DKT) and Item Response Theory (IRT) models enabled dynamic content adjustments aligned with students’ cognitive progress. The results were also supported by students’ positive perceptions regarding the engagement and effectiveness of the platform. This study recommends the integration of adaptive AI platforms in high school mathematics education with adequate teacher support and infrastructure, and suggests future research for longer intervention durations and ethical analysis of AI.
Implementation of Ruin Probability Model in Life Insurance Risk Management Lianingsih, Nestia; Hidayana, Rizki Apriva; Saputra, Moch Panji Agung
International Journal of Quantitative Research and Modeling Vol. 5 No. 4 (2024)
Publisher : Research Collaboration Community (RCC)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46336/ijqrm.v5i4.816

Abstract

This study examines the implementation of the ruin probability model in risk management in life insurance companies. The main focus of this study is to evaluate how factors such as initial surplus, premium revenue level, and claim frequency affect the ruin probability of insurance companies. Using the collective risk model approach and relevant claim distribution, this study develops two methods to calculate the ruin probability: an analytical approach and a Monte Carlo simulation. The simulation results show that increasing the initial surplus and premium level significantly reduces the ruin risk, while increasing the claim frequency increases the ruin probability. In addition, the gamma claim distribution is more suitable for modeling claims in life insurance than the exponential distribution. Model validation is carried out by comparing the prediction results with historical data of insurance companies, which shows a high level of accuracy. This study provides important insights for insurance companies in designing more effective and optimal risk management strategies.
The Impact of the Digital Economy on Employment and Workforce Structure in Indonesia Lianingsih, Nestia; Irman, Dede; Nurnisaa, Nurnisaa
International Journal of Business, Economics, and Social Development Vol. 6 No. 1 (2025)
Publisher : Rescollacom (Research Collaborations Community)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46336/ijbesd.v6i1.889

Abstract

This study examines the impact of the digital economy on employment and workforce structure in Indonesia. The digital economy in Indonesia is growing rapidly, driven by e-commerce, digital financial services, app-based transportation, and artificial intelligence-based technology, with a projected contribution of more than USD 130 billion by 2025. Using a mixed-method approach, this study analyzed data from 200 respondents consisting of workers in the digital economy sector and traditional sectors affected by digitalization, as well as in-depth interviews with 15 representatives of workers, business actors, and policy makers. The results showed that 68% of respondents considered the digital economy to increase job opportunities, although 40% of respondents admitted that digitalization also caused job losses in certain sectors. Changes in the workforce structure are seen in the increasing need for technology skills (45%), digital marketing (35%), and digital business management (30%). The main challenges faced by workers include lack of digital skills (50%), uncertain income (40%), and lack of social security (35%). This study recommends strengthening digital skills training programs through collaboration between the government and the private sector, developing regulations for protecting digital workers, and increasing financial inclusion for digital economy workers. This study contributes to a more comprehensive understanding of workforce transformation in the digital era and provides strategic input for policymakers in managing the workforce transition towards an inclusive and sustainable digital economy.
Injury Prevention Strategy Training in Esports Players: A Holistic Approach to Physical and Mental Health Saefullah, Rifki; Yohandoko, Setyo Luthfi Okta; Lianingsih, Nestia
International Journal of Ethno-Sciences and Education Research Vol. 4 No. 3 (2024): International Journal of Ethno-Sciences and Education Research (IJEER)
Publisher : Research Collaboration Community (Rescollacom)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46336/ijeer.v4i3.711

Abstract

Esports has grown into a global industry that attracts the attention of millions of players around the world. However, the popularity and intensity of the game has brought a risk of injury to esports players, especially related to physical problems such as hand joint injuries and poor posture. This article describes various injuries that often occur in esports players, including injuries to hand joints, posture disorders, eye disorders, sleep disorders, and mental health. We also explain the factors that can cause this injury, such as repetitive movements, high pressure, unergonomic positions, lack of rest, joint stiffness and psychological stress. Next, we present comprehensive solutions to prevent injuries in esports players, including physical exercise, stretching exercises, use of ergonomic equipment, attention to body posture, playing time management, and mental health care. Emphasis is placed on a holistic approach that includes both physical and mental health.
Application of Fish Waste Processing for Sustainable Livestock Feed Production A Community Engagement Study in Garut Regency Lianingsih, Nestia; Suhaimi, Nurnisaa binti Abdullah; Prabowo, Agung
International Journal of Ethno-Sciences and Education Research Vol. 4 No. 3 (2024): International Journal of Ethno-Sciences and Education Research (IJEER)
Publisher : Research Collaboration Community (Rescollacom)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46336/ijeer.v4i3.719

Abstract

This community engagement study aimed to develop an application for processing fish waste into animal feed based in an incubator system in Garut Regency. The program was conducted from May to November 2023 with the primary objective of transferring technology in waste processing and animal feed production to partner groups. Methods included socialization, technical and non-technical training, and direct mentoring in animal feed pellet production. Results showed a significant improvement in the knowledge and skills of the groups in producing fish waste pellets, reducing feed production costs, and enhancing the sustainability of local livestock businesses. Challenges encountered included initial production limitations and consumer trust in new products. With in-depth scientific approaches and sustained support, the program successfully created positive impacts on the environment and community economic welfare.
Teaching Daily Conversational Language to Toddlers at PAUD Tunas Mekar in Melatiwangi Village, Bandung S, Renda Sandi; Lianingsih, Nestia
International Journal of Ethno-Sciences and Education Research Vol. 4 No. 4 (2024): International Journal of Ethno-Sciences and Education Research (IJEER)
Publisher : Research Collaboration Community (Rescollacom)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46336/ijeer.v4i4.785

Abstract

Language is a tool of social interaction or communication because humans are basically social creatures. Humans have spoken since birth, although only in the form of vague or unclear sounds, but still in the form of signs or symbols that emit sounds, therefore it is called baby speech. Children first learn a language by speaking simple spellings until they can speak it well, which is called mother tongue or first language. In general, parents often do not have a good way of control in the process of fostering their children to be able to speak and speak, thus making children easily close themselves and have difficulty communicating with speakers. The purpose of this article is to find out early childhood language acquisition at the phonological, semantic, and syntactic levels through psycholinguistic research using qualitative methods using data collection techniques that underlie language acquisition: Several hypotheses, such as 1) conscience hypothesis, 2) tabularasa hypothesis, 3) cognitive universality hypothesis. Whether or not a child is good at language, raises the question of how important the role of parents is in child development, and how it can be controlled to minimize language problems faced by children
Co-Authors Aglia, Arla Agung Prabowo Andrian Ibrahim, Riza AS, Nurnisaa Audina, Yurid Haq, Fadiah Hasna Nadiatul Hidayana, Rizki Apriva Ibrahim, Riza A Ibrahim, Riza Andrian Irman, Dede Jaizul , Alim Jaizul, Alim Laksito, Grida Saktian Mugi Lestari, Mugi Nurnisaa, Nurnisaa Pirdaus, Dede Irman Rini Cahyandari S, Renda Sandi Saefullah, Rifki Setyawan, Deva Putra Suhaimi, Nurnisaa binti Abdullah Sulistya A, Astrid Sulistya, Astrid Surya P, Dhika Vimelia, Willen Yohandoko, Setyo Luthfi Okta Yuningsih, Siti Hadiaty