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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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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)
Publisher : Research Collaboration Community (RCC)

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)
Publisher : Research Collaboration Community (RCC)

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.
Application of the Leslie Matrix on Female Birth Rates and Life Expectancy in the Special Region of Yogyakarta Lianingsih, Nestia; Haq, Fadiah Hasna Nadiatul; Audina, Yurid
International Journal of Quantitative Research and Modeling Vol 5, No 3 (2024)
Publisher : Research Collaboration Community (RCC)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46336/ijqrm.v5i3.761

Abstract

This study aims to predict the number and growth rate of the female population in the Special Region of Yogyakarta for 2025, using the Leslie Matrix model. The matrix utilizes fertility rates and female life expectancy across different age intervals. The data used includes the female population from 2015 and 2020, alongside Age-Specific Fertility Rate (ASFR) data for the same period. By applying the dominant eigenvalue of the Leslie matrix, the study finds that the growth rate of the female population in Yogyakarta is projected to increase, with a dominant eigenvalue of 1.252. The female population is predicted to reach 2,409,852 by 2025, an increase from 1,983,800 in 2020. These findings are expected to inform population management and development planning in Yogyakarta.
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.
Performance Comparison of Ant Colony Optimization and Artificial Bee Colony in Solving the Capacitated Vehicle Routing Problem Setyawan, Deva Putra; Lianingsih, Nestia; Saputra, Moch Panji Agung
International Journal of Global Operations Research Vol. 5 No. 4 (2024): International Journal of Global Operations Research (IJGOR), November 2024
Publisher : iora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47194/ijgor.v5i4.339

Abstract

The Capacitated Vehicle Routing Problem (CVRP) is a combinatorial optimization problem widely applied in logistics and supply chain management. It involves determining the optimal routes for a fleet of vehicles with limited capacity to serve a set of customers with specific demands while minimizing travel costs. This study compares the performance of two popular metaheuristic algorithms, Ant Colony Optimization (ACO) and Artificial Bee Colony (ABC), in solving the CVRP. The research implements both algorithms on standard benchmark datasets, evaluating solution accuracy and computational efficiency. Simulation results indicate that ACO tends to excel in finding high-quality solutions, particularly for problems with high complexity, whereas ABC demonstrates superior computational efficiency on small- to medium-scale datasets. A detailed analysis of algorithm parameters was also conducted to understand their impact on the performance of both methods. This study provides valuable insights into the strengths and limitations of each algorithm in the context of CVRP and paves the way for the development of hybrid approaches in the future.
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)
Publisher : Research Collaboration Community (RCC)

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
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 : Research Collaboration Community (RCC)

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.
A Legal and Criminological Analysis with Prevention Measures in Mind for the General Elections Lianingsih, Nestia; Yohandoko, Setyo Luthfi Okta; Laksito, Grida Saktian
International Journal of Humanities, Law, and Politics Vol. 2 No. 2 (2024): International Journal of Humanities, Law, and Politics
Publisher : Communication in Research and Publications (CRP)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46336/ijhlp.v2i2.49

Abstract

The crime of money politics is a serious challenge in the election system, affecting the integrity of democracy and public trust. This article analyzes the phenomenon of money politics from a legal and criminological perspective, and identifies the driving factors and their impact on the political process. Apart from that, the article also offers prevention strategies that involve strict regulations, law enforcement officials with integrity, fair trials, the active role of the Election Supervisory Agency (Bawaslu), and comprehensive political education. It is hoped that these steps can help overcome and prevent criminal acts of money politics to ensure clean and democratic general elections
Digital Political Dynamics: The Influence of Social Media on Election Participation, in the 2024 Election Sulistya A, Astrid; Lianingsih, Nestia
International Journal of Humanities, Law, and Politics Vol. 2 No. 4 (2024): International Journal of Humanities, Law, and Politics
Publisher : Communication in Research and Publications (CRP)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46336/ijhlp.v2i4.163

Abstract

The 2024 election in Indonesia is an important moment that shows the significant role of social media in increasing voter participation, especially among the younger generation. This study uses a mixed methods approach to analyze the influence of social media on political participation. The results of a survey of 1,000 respondents showed that 85% actively use social media, and 75% feel more involved in the election process after being exposed to digital campaigns. Platforms such as Facebook, Instagram, Twitter, and TikTok are the main channels for disseminating political information. Content analysis shows that socio-economic issues, pluralism, and the environment are the dominant themes that attract the attention of young voters. This study highlights the importance of strict regulations to prevent the spread of false information and ensure the quality of democracy through social media.
Legal Implications of the Use of Deepfake in Politics and National Security in Indonesia Lianingsih, Nestia; Jaizul, Alim
International Journal of Humanities, Law, and Politics Vol. 3 No. 1 (2025): International Journal of Humanities, Law, and Politics
Publisher : Communication in Research and Publications (CRP)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46336/ijhlp.v3i1.190

Abstract

Deepfake technology has developed rapidly and has had a significant impact in various fields, including politics and national security. This study analyzes the legal implications of the use of deepfakes in politics in Indonesia, highlighting regulatory challenges, the effectiveness of technology detection, and its impact on public opinion. This study uses a mixed methods approach, combining literature analysis, case studies, interviews with legal and technology experts, and social media data analysis. The results show that the spread of deepfakes has increased sharply ahead of the 2024 General Election, especially on Twitter, Facebook, and TikTok, contributing to disinformation and public polarization. Existing regulations, such as the Electronic Information and Transactions Law (UU ITE) and the Criminal Code (KUHP), do not specifically regulate deepfakes, thus creating difficulties in law enforcement. In addition, existing detection technologies still face challenges in identifying increasingly sophisticated deepfake content. As a mitigation measure, this study recommends the formation of special regulations regarding deepfakes, improving detection technology through collaboration with the technology sector, increasing the capacity of law enforcement in digital forensics, and public education to improve digital literacy. It is hoped that these steps can reduce the negative impact of deepfake on democracy and national security stability in Indonesia.
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