Elevation Dynamics and Thermal Variations During the Eruption Phases of Mount Lewotobi Laki-laki

Mount Lewotobi Laki-Laki since December 2023, the eruption status has increased, with a substantial increase in November 2024. This led to modifications in the distribution of temperature, the patterns of volcanic material flow, and the morphology of the land. The objective of this research was to examine the relationship between the elevation profiles and temperature fluctuations that occurred during the eruption of Mount Lewotobi Laki-Laki. This investigation illustrates the considerable impact of volcanic activity on the environment by employing satellite data-based methodologies, digital elevation models (DEMs), and thermal analysis. The results suggest that volcanic activity has a significant impact on the distribution of temperature and the alteration of geological structures. The observed temperature increase, which extends from the crater to the slopes and lowlands, has an impact on local ecosystems and atmospheric conditions. The precipitous elevation profile significantly impacts the flow pattern of volcanic material, such as lava and lahars, which can pose a disaster risk to settlements and community activities in the vicinity. This research underscores the necessity of ongoing monitoring for risk mitigation and community preparedness in volcanic disasters

Wearable IoT for Maternal Healthcare: A Literature Review on Implementation, Challenges, and Future Prospects

Wearable 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.

Double-Edged Sword: AI Tools Dependency and Empowerment among Office Administration Students: A Case Study of Bachelor of Science in Office Administration of Camarines Sur Polytechnic Colleges, Philippines

This study aims to investigate the dual nature of Artificial Intelligence (AI) tools such as ChatGPT as a double-edged sword. The respondents of this study are Two Hundred Fifteen (215) Office Administration students. Purposive sampling was utilized to identify the participants in this study, including those Office Administration students who are familiar with the use of ChatGPT. This study used a descriptive correlational research design that utilizes a checklist questionnaire for gathering data. For statistical tools, the percentage technique, slovin’s formula, Likert scale, weighted mean, and rank order method were used. The findings revealed that Office Administration students “Sometimes” use AI tools such as ChatGPT in terms of both extent and duration. For the effects contributing to respondents' AI tools dependency, the results revealed respondents “Disagree” with positive effects and “Agree” with negative effects in terms of accessibility. In terms of efficiency, the respondents are “Agree” in both positive and negative effects. The indicators listed under educational pressure, the respondents “Agree” with positive effects and “Disagree” with the negative effects. Lastly, when it comes to work ethics, the respondents revealed that they “Agree” with the positive effects and “Disagree” with the negative effects. As an output, the researchers proposed an action plan to mitigate the perceived dependency while also empowering the respondents. This action plan is designed and aligned based on the results of the survey

Integration of Artificial Intelligence (AI) and Internet of Things (IoT) in Smart Agriculture

The 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

Fruits 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

Tataniaga Kopi Robusta di Kabupaten Kolaka Timur, Sulawesi Tenggara

Usaha 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

Graphical User Interface (GUI) for Face Detection Using Viola-Jones Algorithm

Face 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

The 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

DeepSeek dan ChatGPT: Mana yang Lebih Baik untuk Penyusunan Proposal Riset?

Penelitian ini bertujuan untuk membandingkan kemampuan dua platform kecerdasan buatan (AI), yaitu DeepSeek dan ChatGPT, dalam mendukung penyusunan proposal penelitian, khususnya pada topik gamifikasi untuk meningkatkan kesadaran siswa sekolah dasar tentang kemiskinan. Kedua AI tersebut diuji dengan menggunakan prompt yang sama, dan analisis dilakukan berdasarkan aspek persamaan, perbedaan, serta potensi pemanfaatannya dalam konteks penelitian akademik. Hasil penelitian menunjukkan bahwa DeepSeek dan ChatGPT sama-sama mampu memberikan ide penelitian dalam tingkat yang umum, namun kerincian rencana penelitian dapat ditingkatkan melalui pemberian prompt lanjutan. DeepSeek menonjol dalam hal jumlah kata yang lebih banyak dan struktur yang lebih lengkap, sementara ChatGPT memiliki keunggulan pada fitur edit/explain yang memudahkan pengguna untuk menggali informasi lebih dalam. Fitur ini tidak tersedia pada DeepSeek, sehingga pengguna harus mengandalkan prompt lanjutan untuk memperoleh detail yang lebih mendalam. Meskipun demikian, fitur edit/explain pada ChatGPT memberikan kemudahan dalam proses cepat penyusunan proposal penelitian yang lengkap. Kesimpulan dari penelitian ini adalah bahwa pemilihan AI harus disesuaikan dengan kebutuhan dan pengalaman pengguna. DeepSeek cocok untuk pengguna yang memprioritaskan struktur dan kerincian, sementara ChatGPT lebih sesuai bagi mereka yang membutuhkan fleksibilitas dan kemudahan dalam menggali informasi secara mendalam

The Influence of PhET-Assisted STEM Learning Model on Understanding the Concept of Motion Transformation in Physics

This study aims to analyze the effect of the PhET-assisted STEM learning model on the understanding of motion transformation concepts among students at Muhammadiyah Langkaplancar Junior High School. The concept of motion transformation includes translation, rotation, and acceleration, which are abstract and often difficult for students to understand. To overcome this, PhET is used as an interactive simulation medium that allows students to manipulate variables directly and observe their effects in real time. The research method uses an experimental design with pre-tests and post-tests. The research sample consisted of 20 ninth-grade students selected at random. The research instruments were concept comprehension tests, observations, and student learning experience questionnaires. The results showed an increase in the average comprehension score of 20 points in the experimental group, while the control group only increased by 4 points. Although the ANOVA test did not show a statistically significant difference between the two groups (p-value 0.95), PhET-assisted learning was proven to increase interactivity and the quality of physics learning. In conclusion, the application of the PhET-assisted STEM learning model can be an alternative innovative strategy to strengthen the understanding of complex physics concepts at the junior high school level, while encouraging student motivation and engagement in the learning process