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All Journal Jambura Journal of Mathematics International Journal of Research in Community Services Operations Research: International Conference Series International Journal of Global Operations Research International Journal of Quantitative Research and Modeling Jurnal Inkofar International Journal of Ethno-Sciences and Education Research Coreid Journal International Journal of Humanities, Law, and Politics International Journal of Health, Medicine, and Sports International Journal of Linguistics, Communication, and Broadcasting
Yuningsih, Siti Hadiaty
Department Of Mathematics, Faculty Of Mathematics And Natural Sciences, National University Of The Republic Of Indonesia, Bandung, Indonesia
Religion Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Economics, Econometrics & Finance Education Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Medicine & Pharmacology Nursing Physics Public Health Social Sciences Transportation Other

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The Role of Influencers in Shaping Public Opinion: A Study of Millennials and Gen Z Sulistya A, Astrid; Yuningsih, Siti Hadiaty; Vaidyanatahan, Sundarapandian
International Journal of Linguistics, Communication, and Broadcasting Vol. 3 No. 3 (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.v3i3.262

Abstract

The rise of social media has transformed the formation of public opinion, with digital influencers emerging as key actors in shaping attitudes, behaviors, and cultural trends. This study investigates the role of influencers in influencing Millennials and Generation Z, focusing on credibility, engagement, and generational differences. A mixed-methods approach was employed, combining a quantitative survey of 300 respondents (150 Millennials, 150 Gen Z) with in-depth interviews of 20 participants. Quantitative findings indicate that influencer credibility is the most significant factor for both generations, with over 70% of respondents citing trust and reputation as primary reasons for engagement. Both Millennials and Gen Z are influenced in lifestyle and consumption decisions; However, Gen Z shows greater susceptibility to socio-political narratives, whereas Millennials engage more critically and selectively. Qualitative analysis reveals four key themes: Millennials prioritize authenticity and transparency, while Gen Z exhibits strong emotional attachment through parasocial relationships and perceives influencers as role models and alternative sources of information. The findings underscore that influencers function not only as marketing agents but also as social actors and cultural mediators. Effective communication strategies must consider generational distinctions: authentic storytelling resonates with Millennials, while content emphasizes diversity, inclusivity, and social responsibility appeals to Gen Z. The study also highlights risks associated with misinformation and biased narratives, considering the need for ethical practices and enhanced digital literacy among both influencers and audiences. Overall, this research contributes to understanding how influencer culture shapes public opinion, revealing the multidimensional role of influencers in contemporary digital communication.
Maternal and Child Health: The Key to a Better South African Future Yuningsih, Siti Hadiaty; Yohandoko, Setyo Luthfi; Pirdaus, Dede Irman
International Journal of Research in Community Services Vol. 5 No. 2 (2024)
Publisher : Research Collaboration Community (Rescollacom)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46336/ijrcs.v5i2.628

Abstract

South Africa, a country rich in history and natural beauty, also faces serious challenges in the health sector, especially maternal and child health. Maternal and infant mortality rates are still high, inequality in access to health services, low levels of education and knowledge of reproductive health, as well as problems of malnutrition and HIV/AIDS are the main focus of discussion. Although the government has launched programs to improve maternal and child health, funding challenges and disparities in health resources between regions still hinder the achievement of equitable health coverage. This article highlights the importance of increasing health budget allocations, building first-level health facilities, improving the skills of health workers, reproductive health education, nutritional interventions, and multi-stakeholder cooperation to overcome these health challenges. 
Analysis of Multistability of Financial Risk Chaos Systems and Its Application to Voice Cryptography Yuningsih, SIti Hadiaty; Hidayana, Rizki Apriva; Nurkholipah, Nenden Siti
International Journal of Research in Community Services Vol. 5 No. 3 (2024)
Publisher : Research Collaboration Community (Rescollacom)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46336/ijrcs.v5i3.699

Abstract

In the chaos literature, the application of modeling and control of dynamic systems in chaos theory arising in several fields is investigated. In this article we analyze complex financial chaos systems with countries as interest rates, investment demand, and price indices. The proposed chaotic flow's dynamic behavior is examined using phase portraits, eigenvalues, bifurcation diagrams, and Lyapunov exponent spectra. A significant quantity of research on secure communication systems has been published in recent years as a result of the major advancements in communications equipment and encryption techniques. A new voice encryption algorithm design is given using a financial chaos model. An application for voice encryption is conducted using the suggested algorithm, and the outcomes are described.
Strategic Management Practices of PT Bank Central Asia Tbk: Navigating Challenges and Leveraging Opportunities in Indonesia's Banking Sector , Kalfin; Yuningsih, Siti Hadiaty; Halim, Nurfadhlina Abdul
International Journal of Research in Community Services Vol. 5 No. 4 (2024)
Publisher : Research Collaboration Community (Rescollacom)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46336/ijrcs.v5i4.715

Abstract

This paper provides an in-depth analysis of strategic management practices employed by PT Bank Central Asia Tbk (BCA), one of Indonesia's leading banks. The study investigates BCA's strategic initiatives across multiple dimensions including organizational strategy, competitive positioning, customer service enhancement, digital transformation, and sustainability efforts. Through a strategic management lens, the analysis examines how BCA has navigated challenges and capitalized on opportunities in the dynamic banking landscape of Indonesia. Key strategic decisions, such as market segmentation, product innovation, and technology adoption, are explored to understand their impact on BCA's market leadership and financial performance. Additionally, the paper discusses the role of corporate governance and leadership in driving BCA's strategic objectives forward.
Analysis of Factors Inhibiting Students in Speaking English as a Foreign Language: Qualitative Study in Classes VIII and IX at Mts Darul Falah Cibungur Abdul Hali, Nurfadhlina; Yuningsih, Siti Hadiaty; Suhaimi, Nurnisaa binti Abdullah
International Journal of Ethno-Sciences and Education Research Vol. 4 No. 1 (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.v4i1.571

Abstract

This research investigates the factors that hinder students from speaking English as a foreign language in the classroom. Through qualitative research methods involving students and teachers, the findings show that there are two main factors that influence students' speaking abilities, namely affective factors and cognitive factors. Affective factors include eleven subfactors such as shyness, nervousness, and lack of self-confidence, while cognitive factors involve problems with grammar, pronunciation, and vocabulary. In addition, the influence of teachers and peers also has a significant role in overcoming or exacerbating these factors. This research has implications for designing more effective speaking learning and a supportive environment for students in overcoming speaking barriers.
Strategic Transformation at PT Bank Central Asia Tbk: Lessons in Market Adaptation and Leadership Yuningsih, Siti Hadiaty; Saputra, Moch Panji Agung; Halim, Nurfadhlina Abdul
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.v4i3.720

Abstract

This paper provides an in-depth analysis of strategic management practices employed by PT Bank Central Asia Tbk (BCA), one of Indonesia's leading banks. The study investigates BCA's strategic initiatives across multiple dimensions including organizational strategy, competitive positioning, customer service enhancement, digital transformation, and sustainability efforts. Through a strategic management lens, the analysis examines how BCA has navigated challenges and capitalized on opportunities in the dynamic banking landscape of Indonesia. Key strategic decisions, such as market segmentation, product innovation, and technology adoption, are explored to understand their impact on BCA's market leadership and financial performance. Additionally, the paper discusses the role of corporate governance and leadership in driving BCA's strategic objectives forward.
Comparison of Machine Learning Models for Breast Cancer Diagnosis Classification Ibrahim, Riza; Yuningsih, Siti Hadiaty; Ismail, Muhammad Iqbal Al-Banna
International Journal of Global Operations Research Vol. 6 No. 4 (2025): International Journal of Global Operations Research (IJGOR), November 2025
Publisher : iora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47194/ijgor.v6i4.431

Abstract

Breast cancer remains one of the most pressing global public health challenges, with approximately 2.3 million women diagnosed worldwide in 2022 and around 670,000 deaths attributed to the disease. Despite the widespread application of machine learning algorithms for breast cancer classification, findings across studies remain highly varied, and there is still no consistent conclusion regarding which algorithm is most superior for breast cancer diagnosis. This study aims to analyze and compare the performance of four machine learning algorithms Logistic Regression, Support Vector Machine (SVM), Random Forest, and K-Nearest Neighbors (KNN) in predicting breast cancer. The dataset used was the Breast Cancer Wisconsin (Diagnostic) Data Set obtained from Kaggle, containing morphological characteristics of tumor cells. Data preprocessing involved cleaning, label encoding, feature normalization using StandardScaler, and an 80:20 train-test split. Model performance was evaluated using confusion matrix, precision, recall, F1-score, accuracy, and ROC-AUC. The results showed that all four models achieved excellent performance with overall accuracy ranging from 95.61% to 97.37%. SVM emerged as the most accurate model (97.37%) with perfect recall (1.00) for the Benign class. Logistic Regression demonstrated the highest ROC-AUC value (0.9960), indicating excellent discriminative ability. Random Forest and KNN showed slightly lower performance, particularly in detecting Malignant cases with recall of 0.90. These findings confirm that machine learning can serve as an effective tool to support breast cancer diagnosis, with algorithm selection depending on data characteristics and clinical priorities.
Application of Conditional Trajectory Generation on Stewart Platform Robot as a CNC Machine Drive Khoerunnisa, Ahshonat; Nur Jamiludin R; Setiawan, Aan Eko; Yuningsih, Siti Hadiaty; Hòe Nguyễn Đình
International Journal of Global Operations Research Vol. 6 No. 4 (2025): International Journal of Global Operations Research (IJGOR), November 2025
Publisher : iora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47194/ijgor.v6i4.433

Abstract

The development of industrial automation technology in recent decades has been very rapid. One of the technologies that supports industrial automation is robot manipulators. Robots can work with high precision, speed, and safety so that by using robots, industrial processes become more productive. The type of robot itself is divided into two, namely serial and parallel structures. Robots with parallel structures tend to be less studied, developed, and used in industry compared to serial structures even though there are several advantages of these parallel structures. Parallel structures have a kinematic configuration with a closed chain type, or it can be interpreted that each arm is connected to the point of origin. This relationship will result in robots having high precision and speed. Kinematic parallel manipulators perform better when compared to serial kinematics in terms of angular accuracy, acceleration at high speeds, and high stiffness. Therefore, this type of robot is very suitable for use in industries that require high-speed applications. In this study, a robot system was developed as a driving force for a CNC machine with its movements using a trajectory tracking control system. This system was chosen because this control has a point where each point contains position and speed information that is certainly needed for the CNC machine movement system.
Design and Evaluation of a Temperature–Humidity Control System for Mushroom Cultivation Using a DHT11 Sensor Suryaman, Suryaman; Yuningsih, Siti Hadiaty; Setiawan, Aan Eko; Zakaria, Kiki
CoreID Journal Vol. 3 No. 2 (2025): July 2025
Publisher : CV. Generasi Intelektual Digital

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60005/coreid.v3i2.103

Abstract

Oyster mushroom (Pleurotus ostreatus) cultivation requires stable temperature and humidity conditions to support optimal mycelial development and fruiting body formation. This study aims to develop and evaluate a low-cost temperature–humidity monitoring and control system for an oyster mushroom cultivation room using a DHT11 sensor integrated with an Arduino-based controller. An experimental evaluation was conducted by comparing DHT11 temperature and humidity readings with a reference measuring instrument under cultivation-room conditions, while the control function was tested using threshold-based rules for activating environmental actuators (heater, fan, and humidifier). The results indicate that the DHT11 sensor produced measurements close to the reference instrument within the tested range, with temperature differences of 0.1–0.3°C and humidity differences of 0.2–0.4%RH across the observations. These findings suggest that the proposed system is feasible for basic environmental monitoring and supports automated threshold-based control for maintaining cultivation conditions near recommended ranges. Sensor performance and measurement stability are influenced by practical factors such as airflow, proximity to heat or moisture sources, and sensor placement; therefore, appropriate placement and shielding are important to minimize local bias. The originality of this work lies in providing an implementable prototype and an empirical sensor performance assessment in a mushroom cultivation environment, offering practical guidance for low-cost smart farming applications.
Implementation of Fuzzy Logic Control on a Robotic Arm Prototype for Object Position Detection Suryaman; Pangestu, Tegar Dwi; Mardiati, Rina; Setiawan, Aan Eko; Yuningsih, Siti Hadiaty; Zakaria, Kiki
International Journal of Research in Community Services Vol. 7 No. 1 (2026): International Journal of Research in Community Service (IJRCS)
Publisher : Research Collaboration Community (Rescollacom)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46336/ijrcs.v7i1.1101

Abstract

The rapid advancement of robotics technology has significantly enhanced industrial automation, enabling continuous, precise, andefficient operations. This study aims to design and implement a Fuzzy Logic Control (FLC) system based on the Mamdanimethod in a robotic arm prototype capable of detecting and classifying object positions automatically. The prototype utilizes anArduino Mega 2560 microcontroller as the main controller and a Pixy2 CMUCam5 vision sensor for object detection. Two maininput parameters are used: Turn (object position) and Area (object distance from the camera). The control outputs are the angularpositions of the base and elbow servos. Experimental results show that the FLC system achieves high accuracy with a mean errorof 0.25% for the base servo and 0.27% for the elbow servo, compared to simulation and manual calculations. Furthermore, thefuzzy-based system demonstrated superior efficiency in detecting object positions (center, left, right) compared to non-fuzzycontrol. These findings indicate that implementing Mamdani Fuzzy Logic significantly improves the precision and responsivenessof robotic arm movement in object detection and manipulation tasks
Co-Authors , Kalfin Abdul Gazir Syarifudin Abdul Hali, Nurfadhlina Agung Prabowo Amelia, Rika Aris Setiawan Arridho, Ilham Ali Azahra, Astrid Sulistya binti Abdullah Suhaimi, Nurnisaa Chayandri, Rini Chun Wang Endang Rusyaman Hadikaryana, Oscar Halim, Nurfadhlina Abdul Hidayana, Rizki Apriva Hòe Nguyễn Đình Ibrahim, Riza Ibrahim, Riza Andrian Ismail, Muhammad Iqbal Al-Banna Jaizul, Alim Josua, Lancelot Julsen kalfin Kalfin Khoerunisa, Ahshonat Khoerunnisa, Ahshonat Lianingsih, Nestia Nenden Siti Nurkholipah, Nenden Siti Nur Jamiludin R Nurfadhlina Abdul Hali Nurnisaa binti Abdullah Suhaimi Pangestu, Tegar Dwi Pirdaus, Dede Irman Prawiro, Meivin Mulyo Ridwan, Ridwan Rina Mardiati, Rina Rini Cahyandari Saputra, Jumadil Setiawan, Aan Eko Subiyanto Subiyanto Sudradjat Supian Suhaimi, Nurnisaa binti Abdullah Suharto, Istiqomah Sukono Sukono Sulistya A, Astrid Sulistya Azahra, Astrid Surya, Dhika Suryaman Vaidyanatahan, Sundarapandian Vimelia, Willen Yohandoko, Setyo Luthfi Zakaria, Kiki