Bincang Sains dan Teknologi
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Wearable IoT for Maternal Healthcare: A Literature Review on Implementation, Challenges, and Future Prospects
Full text linkWearable Internet of Things (IoT) devices for pregnant women have emerged as a significant innovation in healthcare. This technology enables real-time monitoring of maternal and fetal health, providing data that facilitates faster and more accurate medical decision-making. This article presents a literature review on the development and implementation of wearable IoT for pregnant women and its impact on healthcare services. The study identifies various types of wearable devices, monitored health parameters, and the technical and ethical challenges associated with their use. The findings reveal that wearable IoT can enhance healthcare quality through early detection of pregnancy complications, improved efficiency of medical personnel, and reduced healthcare costs. However, issues such as data privacy, device sustainability, and technological disparities remain major challenges that require further attention. This review provides valuable insights for technology developers, healthcare providers, and researchers to maximize the potential of wearable IoT in supporting maternal health holistically.
Graphical User Interface (GUI) for Face Detection Using Viola-Jones Algorithm
Full text linkFace detection is an essential part of many applications, such as security systems, social networking platforms, and human-computer interaction. In order to detect human faces, this work investigates the application of the Viola-Jones algorithm in a graphical user interface (GUI) system created with Matlab. The Viola-Jones algorithm is a cutting-edge real-time face detection technique that uses AdaBoost learning to choose the most important features, Haar-like features, and an integral picture for quick feature computation. Fifteen randomly chosen photos from the internet with both single and numerous faces were used to test the system. The algorithm's efficacy in face detection is demonstrated by the results, which show an average accuracy of 89.86%. Nevertheless, other restrictions were noted, such as blocked faces, non-frontal facial angles, and subpar identification in dimly lit environments. These difficulties draw attention to how outside variables affect detection accuracy and point to possible areas for improvement, such using sophisticated preprocessing techniques or combining the algorithm with cutting-edge machine learning approaches. This study highlights the need for more research to increase the Viola-Jones algorithm's robustness in a variety of complicated circumstances while reaffirming its applicability
Administrative Skills of Student Aides in Camarines Sur Polytechnic Colleges, Philippines
Full text linkThe study aims to determine the Administrative Skills of Student Aides in CSPC within the academic year 2024-2025. It determined the profile (age, year level, sex, civil status, and program), administrative skills in records management, communication, technical, and human relations, and factors limiting the proficiency of the respondents. The questionnaire was distributed with widely open access to the respondents and got several ninety-two varied responses from 1st to 4th-year student aides in different programs. The researchers used the descriptive survey method through data gathering instruments such as self-made questionnaires to gather the necessary data. The data gathered were treated statistically through the use of the percentage technique, weighted mean, and Likert-type scale. The major findings are: the administrative skills of student aides are highly competent in human relations while competent in namely records management, communication, and technical. When it comes to the factors limiting the proficiency of the student aides, the underlying indicators on records management, verbal communication, technical, and human relations are perceived as disagreeing while agreeing on the written communication, which means that limits their proficiency. As an output, the recommendation, which is an action plan, is focused on the skills enhancement of the student aides under administrative skills, namely Records Management, Communication, Technical, and Human Relations
Tataniaga Kopi Robusta di Kabupaten Kolaka Timur, Sulawesi Tenggara
Full text linkUsaha agribisnis kopi di Kabupaten Kolaka Timur, Provinsi Sulawesi Tenggara saat ini masih menghadapi berbagai permasalahan seperti permasalahan daya saing, harga, dan pendapatan. Kondisi ini menggambarkan diperlukannya berbagai perbaikan termasuk aspek pemasaran atau tataniaga. Hal inilah yang menjadi alasan mendasar dilakukan analisis tataniaga kopi robusta di Kabupaten kolaka Timur. Tujuan dalam penelitian ini adalah menganalisis struktur dan efisiensi tataniaga kopi robusta di Kabupaten Kolaka Timur. Data dalam penelitian ini diperoleh melalui proses wawancaran kepada pedagang kopi sebagai responden. Analisis data yang digunakan adalah analisis deskriptif untuk mengetahui struktur tataniaga, analisis margin pemasaran untuk menganalisis margin pemasaran dan analisis Farmer’s Share untuk menganalisis efisiensi kinerja rantai pemasaran. Hasil penelitian menunjukkan bahwa terdapat empat jalur tataniaga atau saluran pemasaran kopi robusta di Kabupaten Kolaka Timur yaitu saluran pemasaran 1 yang terdiri atas petani, pedagang pengumpul, pedagang penampung dan pedagang besar di Kabupaten Kolaka; saluran pemasaran 2 terdiri atas petani, pedagang pengumpul, pedagang penampung, pedagang besar di Kota Makassar; saluran pemasaran 3 terdiri atas petani, pedagang penampung dan pedagang besar di Kabupaten Kolaka; dan saluran pemasaran 4 terdiri atas petani, pedagang penampung dan pedagang besar di Kota Makassar. Rantai pemasaran kopi di Kabupaten Kolaka Timur pada saluran 3 lebih efisien dibandingkan dengan saluran 1, 2 dan saluran 4 karena memiliki margin pemasaran terendah yaitu Rp.4.833/kg dan nilai farmers’ share tertinggi
What is the Impact of AI Agents and Agentic AI in the Field of Marketing Management?
Full text linkThe rapid advancement of artificial intelligence (AI) has transformed marketing management from a predominantly human-centered decision-making domain into a hybrid ecosystem where intelligent agents and agentic AI systems increasingly assume autonomous roles. This opinion-based article critically examines the impact of AI agents and agentic AI on marketing management, emphasizing their transition from decision-support tools to semi- and fully autonomous decision-makers. Drawing on contemporary literature, this study argues that AI agents reshape strategic, operational, and relational dimensions of marketing by automating complex decisions, enabling agentic personalization, and redefining marketer–consumer relationships. Using a conceptual framework grounded in autonomy theory and the marketing mix, the article synthesizes existing research to highlight opportunities, risks, and managerial implications. The findings suggest that while agentic AI enhances efficiency, scalability, and responsiveness, it simultaneously raises ethical, governance, and consumer autonomy concerns. This article contributes to marketing management scholarship by integrating classic and emerging perspectives on AI agents into a coherent analytical narrative relevant for researchers and practitioners
Integration of Artificial Intelligence (AI) and Internet of Things (IoT) in Smart Agriculture
Full text linkThe integration of Artificial Intelligence (AI) and the Internet of Things (IoT) is revolutionizing modern agriculture by enabling precision, automation, and data-driven decision-making across various farming domains. This paper explores key applications of AI-IoT systems, including precision resource management, smart irrigation, crop health monitoring, and livestock management. Precision farming techniques supported by AI-IoT models achieve high accuracy (98.65%) and efficiency, significantly improving input optimization through variable rate application and real-time insights. Smart irrigation systems, such as “Vital,” demonstrate the effective use of explainable AI and low-cost sensors to automate water usage based on soil and weather data. Additionally, AI-IoT integration enhances crop protection through early disease detection and improves animal welfare via continuous livestock monitoring. The environmental benefits are notable, with reduced resource waste and lower greenhouse gas emissions, while economic advantages include increased productivity and supply chain efficiency. Despite the potential, challenges remain in infrastructure, cost, and user training. Emerging innovations such as edge computing, digital twins, and cloud-based management systems are shaping the future of smart agriculture, promising more autonomous, sustainable, and accessible solutions for global food security
Development of Smart Clay Pottery Integrated with IoT to Extend the Shelf Life of Fruits and Vegetables
Full text linkFruits and vegetables have relatively short shelf lives, necessitating storage solutions such as refrigerators to maintain freshness. However, not all types of fruits and vegetables are suitable for refrigeration, and not all vendors have access to refrigerators or space to accommodate them. This study aims to develop an eco-friendly alternative storage medium using clay pottery enhanced with zeolite and activated charcoal to extend the shelf life of fruits and vegetables. The freshness levels were monitored using TGS 2600, MQ3, MQ4, MQ2, and MQ8 sensors connected to smartphones through an Internet of Things (IoT) platform and supported by an artificial intelligence-based chatbot. This quantitative descriptive research employed experimental methods with samples consisting of spinach (Ipomoea aquatica), mangoes (Mangifera indica), and bananas (Musa spp.). Each produce item was stored in treated clay pottery (with zeolite and activated charcoal), untreated clay pottery, and a refrigerator (control). Observations were conducted over five days, evaluating parameters such as texture, color, and aroma. Six expert respondents assessed the samples using a Likert scale. Data were analyzed using ANOVA and Duncan’s Multiple Range Test (DMRT). The findings indicate that the treated pottery significantly improved the shelf life of fruits and vegetables compared to untreated pottery and refrigeration. Sensor-based monitoring integrated with solar-powered panels and the Blynk application, supported by cloud storage and AI-driven chatbot communication, enabled real-time assessment and user interaction. This research demonstrates that innovative clay storage systems, enhanced with natural absorbents and digital technologies, offer a sustainable and effective method for preserving perishable produce
RIS for 5G and Beyond: A Bibliometric Survey
Full text linkThe rapid advancement of 5G technology has sparked significant interest and investment in research and development across various domains. As the world transitions towards the era of 5G and beyond, understanding the research landscape becomes imperative for guiding future innovations and investments. This article presents a comprehensive bibliometric survey of research in the realm of reconfigurable intelligent surface (RIS) for 5G and its evolutionary successors. Through systematic analysis of scholarly publications, this survey maps the trends, key contributors, influential works, and emerging themes within the field. By synthesizing data from diverse sources, including academic journals and conference proceedings, this survey offers insights into the evolution of RIS technologies, identifies prominent research clusters, and outlines potential directions for future investigation. Furthermore, it sheds light on the interdisciplinary nature of RIS research, spanning areas such as telecommunications, signal processing, antenna design, and network optimization. This bibliometric survey serves as a valuable resource for researchers and practitioners to navigate the complex landscape of 5G innovation and shape the trajectory of future wireless communication systems
Tantangan Penetrasi Teknologi Informasi dan Komunikasi dalam Mendidik Generasi Alpha
Full text linkPerkembangan teknologi telah menjadi sejarah peradaban manusia yang bertujuan untuk meningkatkan kehidupan manusia melalui peningkatan efisiensi dan efektivitas. Era digital membawa perkembangan pesat seperti kehadiran artificial intelligence, big data, dan otomatisasi yang mengubah perilaku manusia. Dalam konteks pendidikan, teknologi menghadirkan dilema tentang peran guru dan administrator yang bisa digantikan oleh mesin, serta mengubah pola komunikasi di bidang pendidikan secara global. Di tengah era VUCA, pemimpin pendidikan harus adaptif terhadap perubahan yang cepat, tidak pasti, kompleks, dan ambigu. Pentingnya mengantisipasi perkembangan teknologi digital dalam pola asuh dan pendidikan Generasi Alpha juga ditekankan. Generasi ini lahir dengan kecenderungan melek teknologi, namun juga menghadapi risiko kecanduan gadget dan penurunan interaksi sosial. Pendekatan pendidikan yang melibatkan keluarga, sekolah, dan masyarakat diperlukan untuk memberikan fondasi yang kokoh. Meskipun teknologi terus berkembang, penanaman nilai-nilai spiritual, kebangsaan, dan kearifan lokal tetap esensial sebagai pedoman hidup Generasi Alpha di masa depan
Trends of Unmanned Aerial Vehicles in Logistics Delivery
Full text linkThe integration of unmanned aerial vehicles (UAVs) in logistics operations has attracted significant attention due to their potential to revolutionize delivery processes. This abstract provides an overview of the trends and advancements in utilizing UAVs for logistics. The study explores the current research landscape, identifies key challenges, and offers insights into the future applications of UAVs in logistics. By analyzing a range of scholarly articles, this abstract aims to illuminate the evolving role of UAVs in optimizing delivery efficiency, reducing costs, and addressing logistical complexities. Additionally, the abstract highlights the necessity for further research to address emerging issues and maximize the benefits of UAV technology in the logistics sector