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  • Exploring the Landscape of Deep Learning Techniques for IoT Data: A Systematic Literature Review

    Exploring the Landscape of Deep Learning Techniques for IoT Data: A Systematic Literature Review

    Authors: Ansarullah Lawi ; Aulia Agung Dermawan ; Dwi Ely Kurniawan ; Ivan Muhammad Reza ; Feberlian Elisabeth Gulo ; Zainal Arifin Hasibuan

    DOI: 10.18517/ijaseit.15.2.20226

    Abstract

    The rapid evolution of software, hardware, and internet technology has enabled the proliferation of internet-connected sensor tools that gather information and observations from the physical world. The IoT comprises billions of intelligent devices, extending physical and virtual boundaries. However, traditional data processing methods face significant challenges in handling the vast volume and variety of IoT data. This paper systematically reviews. These devices generate vast amounts of data daily, with diverse applications crucial for generating new knowledge, identifying future trends, and making informed decisions. This underscores IoT’s value and enhances technology. Deep learning (DL) has significantly enhanced IoT and mobile applications, demonstrating promising outcomes. Its data-driven, anomaly-based approach for detecting emerging threats positions it well for IoT intrusion detection. This paper proposes a comprehensive framework leveraging DL techniques to address data processing challenges in IoT environments and enhance intelligence and application capabilities. Furthermore, this study systematically reviews and categorizes existing deep learning techniques applied in IoT, identifies critical challenges in IoT data processing, and provides actionable insights to inspire further research in this domain. It discusses the introduction of IoT and its data processing challenges and explores various DL approaches applied to IoT data. Significant DL efforts in IoT are surveyed and summarized, focusing on datasets, features, applications, and challenges to inspire further advancements in this field. © (2025), (International Journal on Advanced Science). All rights reserved.

    Author keywords

    anomaly detection; data processing; deep learning; IoT; literature review
    This article can be accessed at: https://www.scopus.com/pages/publications/105005194401

  • BREATHING TECHNIQUES FOR MANAGING PERFORMANCE ANXIETY

    BREATHING TECHNIQUES FOR MANAGING PERFORMANCE ANXIETY

    Summary written by Professor Bettina Meiser, University of New South Wales, Sydney, Australia

    Students can benefit from simple breathing and relaxation exercises, including diaphragmatic breathing, box breathing, a grounding technique called the 5-4-3-2-1 method, and progressive muscle relaxation.

    Diaphragmatic Breathing

    Diaphragmatic Breathing (4-6 cycles)

    Diaphragmatic breathing calms the autonomic nervous system. Diaphragmatic (belly) breathing involves inhaling deeply through the nose, allowing the abdomen to expand while keeping the chest relatively still, and then exhaling slowly.

    Diagram/Visualization of Steps

    (Adapted from the University of Mississippi Medical Center)

    1. Starting Position: Lie on your back or sit comfortably. Place one hand on your chest and the other on your abdomen (just above the navel).
    2. Inspiration (Inhale): Inhale slowly through your nose. Focus on allowing your abdomen to expand outward (the hand on your belly should rise) while your chest remains still.
    3. Expiration (Exhale): Exhale slowly through your mouth (or nose) while tightening your abdominal muscles. Your belly will pull inward (the hand on your belly should fall). 

    BOX BREATHING
    Box breathing also calms the autonomic nervous system. Box breathing, or square breathing, is a simple four-step stress reduction technique that involves equal 4-second counts for inhaling, holding the breath, exhaling, and holding the breath empty.

    GROUNDING TECHNIQUE

    A well-known grounding technique is the 5-4-3-2-1 method. This involves identifying 5 things you can see, 4 things you can touch, 3 things you can hear, 2 things you can smell, and 1 thing you can taste. This exercise can quickly pull an individual out of an overwhelming or anxious state, or a flashback, and bring them back to the present moment.


    PROGRESSIVE MUSCLE RELAXATION

    This technique involves systematically tensing and then relaxing specific muscle groups, usually starting from the toes and moving up to the head. Progressive muscle relaxation can be practiced either sitting in a comfortable chair or lying down on a bed or mat, depending on your preference and location.

  • AI-Driven Strategies for Inclusive and Sustainable Urbanization

    Authors: Mazni Omar ; Samsul Ariffin Abdul Karim ; Amirulikhsan Zolkafi ; Mazida Ahmad

    DOI: 10.1201/9781003630371

    Abstract

    This book explores the transformative potential of artificial intelligence (AI) in reshaping urban development practices. Its objective is to provide a comprehensive overview of the latest advancements in AI-driven strategies for urban development and governance, with a focus on promoting inclusivity, sustainability, and resilience in cities worldwide. This book studies how AI technologies can be utilized to tackle the complex challenges encountered in urban areas, spanning ethical, social, and environmental implications across urban governance and beyond. The in-depth analysis in this book uncovers the potential of AI in addressing longstanding challenges and seizing new opportunities in urban contexts, offering insights into wide-ranging applications. For the use of AI in urban planning, the authors showcase applications that help reduce environmental impact while enhancing accessibility for underserved communities by analyzing real-time data on land use, transportation, and population needs. Another topic in this book examines AI-powered urban mobility systems, utilizing software that integrates real-time data to create adaptive transportation networks. These systems offer efficient, eco-friendly travel solutions tailored to diverse populations, including individuals with disabilities, by dynamically adjusting routes and services. Additionally, this book delves into digital inclusion and accessible technologies in smart cities, highlighting software that prioritizes accessibility and digital inclusion, ensuring that all residents, regardless of ability, can fully participate in urban life. The interdisciplinary approach allows readers to understand how different fields, such as technology, urban planning, and social policy, intersect and shape AI-driven urban development. By weaving together insights from these diverse areas, this book demonstrates how AI can address real-world challenges, from improving infrastructure to fostering sustainability and inclusivity in cities. This perspective helps readers grasp the broader impact of AI, showing how it can enhance various aspects of urban life, including social equity and environmental resilience. Through interdisciplinary research, case studies, and expert insights, this book aims to educate students in higher learning and inspire policymakers, urban planners, and practitioners to leverage AI technologies in addressing urban challenges and build better cities for all residents. © 2026 selection and editorial matter, Mazni Omar, Samsul Ariffin Abdul Karim, Amirulikhsan Zolkafli, and Mazida Ahmad; individual chapters, the contributors.

    Indexed keywords

    Engineering controlled terms

    Artificial intelligence; Environmental impact; Environmental technology; Land use; Real time systems; Sustainable city; Sustainable development; Transportation routes; Urban growth; Urban transportation

    Engineering uncontrolled terms

    Artificial intelligence technologies; Development practices; Digital inclusion; Ethical implications; Real-time data; Social implication; Urban areas; Urban development; Urban governance; Urban life

    Engineering main heading

    Population statistics
    This book can be accessed at: https://www.scopus.com/pages/publications/105022398967

  • Water Vapor Movement on Mass and Heat Transport in the Perspective of Water Vapor Buoyancy: A Review

    Authors: Khairul Ikhwan Mohd Jamalluddin ; Sunny Goh Eng Giap ; Mohammad Fadhli Ahmad ; Hanhan Maulana ; Senny Luckyardi

    DOI: 10.37934/arnht.19.1.1528

    Abstract

    In 1957, the governing equation of mass and heat transport in the soil or porous media was popularised, now commonly referred to as PdV theory. This governing equation helps to quantify and simulate the water, vapor and heat in porous media. But at the same time, due to the fundamental uncertainty parameter in the equation, it was continuously updated. The equation predicting vapor flux movement in the soil has been the subject of many investigations. The vapor enhancement factor (VEF) was introduced to overcome the issue. When VEF was introduced, a few researchers were able to quantify the factor, but could not provide the guiding mechanism representing the observation. In the latest review from a literature study, we found a new form of equation to improve the VEF. It comes from the basis of the universal gas law, which describes the volume expansion from liquid water to vapor, and also the vapor buoyancy. This study aims to review water vapor movement and vapor buoyancy phenomenon. Also, to identify the parameters of the equations that contribute to the vapor buoyancy effect. The water vapor movement should not be neglected in the governing equation because its contribution to the overall mass movement is significant. Vapor buoyancy is possible to become a mechanism out from VEF. The parameters that contribute to vapor buoyancy effect are gravity, soil temperature, vapor density and water salinity. Clearly, understanding vapor buoyancy effect helps us better predict the distribution of soil temperature and soil moisture content. © 2024, Penerbit Akademia Baru. All rights reserved.

    Author keywords

    Mass and heat transport; Porous media; Vapor buoyancy; Vapor flux; Vapor movement


    This article can be accessed at: https://www.scopus.com/pages/publications/8519324924

  • The Implementation of Multimedia Interactive Visual (Mivi) Learning to Improve Students’ Creative Thinking and Collaboration Skills

    Authors: Mia Nurkanti ; Yasundari

    DOI: 10.24857/RGSA.V18N7-013

    Abstract

    This research aims to explore the implementation of multimedia interactive visual (MIVI) learning to improve students’ creative thinking and collaboration skills on the topic of the food digestive system. Methods: This research uses the Pre-Experiment Design method with using the research design of One-Group Pre-test-Post-test Design. The subjects in this research are determined by purposive sampling technique; they are students of XI MIA-7 20 Bandung Senior High School in the 2020-2021 school year. Result: The result of this research shows that in the cognitive aspect, the average point pre-test is 42,70, and the post-test is 82,46. Then, the test result of N-Gain is 42,70 as the medium category. Thus, the result of this research in the affective aspect gets 85 points in the average as well category, and psychomotor gets 86 on average in the very well category. At the same time, all the students’ questionnaires got positive results, which is 79% in all categories. From all those data, this research concludes that the use of MIVI learning media can increase the student’s learning outcomes in the human, mechanical system topic. © 2024 ANPAD – Associacao Nacional de Pos-Graduacao e Pesquisa em Administracao. All rights reserved.

    Author keywords

    Collaboration Skills; Creative Thinking Skills; Multimedia Interactive Visual


    This article can be accessed at: https://www.scopus.com/pages/publications/85194186753

  • Land Use Change Modeling (With Special Reference To Bandung Region)

    Author: Lia Warlina

    DOI: 10.1109/ICECS.2009.78

    Abstract

    CLUE-S is a tool that can predict future land use changes. CLUE-S had been successfully applied to simulate land use change in Bandung region. The dependent variable was land use which classified into seven classes (water, forest, others, built area, plantation, dry land, and rice field). The independent variables were social economical aspect, biophysical aspect, accessibility and climate. The result of the modeling showed that scenario 2 was more optimal than scenarios 1. In the end of simulation, scenario 2 showed that forest area was still 11 percent, and the area of rice field was 5 percent of the area. © 2009 IEEE.

    Author keywords

    CLUE-S (Conversion of land use change and its effect at small regional extent); Land use change; Simulation, modeling


    This article can be accessed at: https://www.scopus.com/pages/publications/77949803122

  • The Development of Intelligent Tutoring System in The Military Schools

    Authors: Bobi Kurniawan, Meyliana, Harco Leslie Hendric Spits Warnars, Bambang Suharjo

    DOI: 10.17509/ajse.v3i3.57917

    Abstract

    The rapid and fast development of technology affects many aspects of life, especially in the field of education. The application of technology in education is needed to support a more effective and efficient learning process without any space and time constraints. An example is the implementation of the Intelligent Tutoring System (ITS) which is often known as an intelligent learning system. An ITS in the field of military education is needed to produce professional military graduates/HR. Therefore, researchers will examine trends in research development and updates on ITS technology in the military field. Efforts to achieve research objectives are carried out using the Systematic Literature Review method with bibliometric analysis or VOSviewer. The purpose of this study is to become a reference for determining research topics on ITS in the field of education, especially the military. © 2023 Universitas Pendidikan Indonesia.

    Author keywords

    Intelligent Tutoring System; Learning; Military; SLR; VOSViewer

    This article can be accessed at https://www.scopus.com/pages/publications/85171530627

  • Advancing Language Education in Indonesia: Integrating Technology and Innovations

    Advancing Language Education in Indonesia: Integrating Technology and Innovations

    Authors: Senny Luckyardi, Silvi Munawaroh, Amirullah Abduh, Rosmaladewi R, Achmad Hufad, Nuria Haristiani

    DOI: 10.17509/ajse.v4i3.79471

    Abstract

    Language learning in Indonesia’s educational environment is accelerating change due to the introduction of novel technologies and teaching methods. This paper analyzed the essential functions of digital tools, the internet, and contemporary educational approaches to enhancing Indonesian language learning results. When considering the challenges of low penetration in remote areas and fluctuating technological maturity, opportunities exist to explore the potential of technology to bridge the language acquisition gap. Drawing on a review of several projects (i.e., mobile applications, e-learning platforms, and artificial intelligence (AI)-driven language support), the current study outlines their success in fostering multilingualism, enhancing engagement rates, and developing mother tongue and second language skills. The outcome suggests that education through language for Indonesian learners will be successful if there is a balance between traditional teaching advantages, such as face-to-face teaching, and modern technology’s power and freedom. Policies, pedagogical, and institutional ideas are proposed to build a sustainable, inclusive, and dynamic model for a language education framework based on the sake of its citizenry. © 2024 Universitas Pendidikan Indonesia.

    Author keywords

    Education; Indonesia; Language; Technology

    This article can be accessed at https://www.scopus.com/pages/publications/85215785675

  • Novel Motion Planning Strategy with Fuzzy Logic for Improving Safety in Autonomous Vehicles in Response to Risky Road User Behaviors

    Authors: Muhammad Aria Rajasa Pohan, Jana Utama, Budi Herdiana

    DOI: 10.17509/ajse.v4i3.75343

    Abstract

    This study aims to propose a new motion planning strategy for autonomous vehicles (AV) using fuzzy logic to improve safety. The strategy mitigates risky behaviors of other road users, such as zigzagging vehicles, sudden braking, pedestrians emerging from blind spots, and responding to sudden lane changes. The proposed method combines a novel fuzzy inference system and a configuration space map with adaptive dynamic object bounding boxes. These bounding boxes adjust in size according to the risk level of the dynamic object’s movement. The simulation test was conducted using four scenarios involving risky behavior from other road users. The proposed method was compared with conventional methods, with safety costs used to measure performance. The results showed that the proposed algorithm achieved better safety costs across all four scenarios; this improvement is due to the integration of the fuzzy system with the adaptive configuration space map, which accounts for uncertainties. These findings suggest that the proposed method improves AV motion planning safety in dynamic and unpredictable environments. This research contributes to developing safer, more reliable autonomous driving systems. © 2024 Universitas Pendidikan Indonesia.

    Author keywords

    Autonomous vehicles; Fuzzy logic; Motion planning; Movement uncertainties; Risky behaviors; Safety enhancement

    This article can be accessed at https://www.scopus.com/pages/publications/85215819061

  • Design Thinking to Enhance E-Commerce Accessibility for Blind Users in Indonesia

    Authors: Adam Mukharil Bachtiar, Dian Dharmayanti, Reymunda Dwi Alfathur

    DOI: 10.17509/ajse.v6i3.90874

    Abstract

    Indonesia’s expanding e-commerce sector still marginalizes blind users. This study aimed to determine whether a usercentred design process could convert inaccessible shopping flows into accessible ones. We applied Design Thinking to a large Indonesian e-commerce website, audited barriers with screen reader walkthroughs, mapped issues to the Web Content Accessibility Guidelines and ARIA, and iteratively prototyped semantics, headings, roles, keyboard flows, and feedback. Blind participants from a rehabilitation center completed think-aloud evaluations that compared the original and redesigned flows. Usability tests showed complete task completion across search, product, and checkout, with faster completion and fewer errors, because interface semantics matched assistive technologies and interaction steps were simplified and consistently announced. The redesign now enables truly independent transactions and reduces frustration. These findings indicate that locally adapted, standards-guided, and user-validated design can replace exclusion with inclusion in digital commerce and can be replicated by teams in resource-constrained settings to accelerate equitable access. © 2026 Universitas Pendidikan Indonesia.

    Author keywords

    Accessibility; Design thinking; E-Commerce; Inclusive design; Visually impaired

    This article can be accessed at https://www.scopus.com/pages/publications/105026244071