Engineering Commons^™

Prediction Of Audit Findings Using Deep Learning With Financial And Non-Financial Data: A Case Study In Province X, Fery Yohan Setiawan, Eko Mulyanto Yuniarno, Reza Fuad Rachmadi

Knowledge Engineering and Data Science

The implementation of the audit from the local government financial statements by The Audit Board of The Republic of Indonesia (BPK RI), especially for the Province X representative, are frequently faced by the various limitations, one of them being the required audit time. At this moment, the BPK RI representative of Province X doesn’t have the tools that are able to help the accurate of sample determination for the pick test, which resulted in this study proposing the application of multi-label classification to predict the findings of financial statement (Laporan Keuangan, LK) audits based on financial and non …

A Comparative Study Of Machine Learning Models For Javanese Wuku Classification: Exploring Svm, Naïve Bayes, And Cnn For Cultural Texts, Danang Arbian Sulistyo, Aji Prasetya Wibawa, Didik Dwi Prasetya, Fadhli Almu'iini Ahda, Agung Bella Putra Utama

Knowledge Engineering and Data Science

This study rigorously evaluates machine learning models for classifying culturally significant Javanese Wuku texts from the “Keagamaan atau Spiritual” category, a domain challenged by unique linguistic nuances and limited digitized resources. We compared Support Vector Machine (SVM), Naïve Bayes, and Convolutional Neural Network (CNN) on texts from five pivotal Wuku types (Sinta, Galungan, Kuningan, Sungsang, Warigalit) sourced from sastra.org, aiming to identify the most effective computational approach. The dataset comprises N = 1419 documents (T = 751.290 tokens), with per-class document counts reported for all five Wuku types. Our evaluation uses accuracy, precision, recall, F1-score, and …

Mapping Of Product Sales Potential Based On Brands In The East Kalimantan Region Using Hybrid Analytical Framework, Achmad F O Gaffar Mr, Mulyanto Mulyanto Mr, Arief Bw Putra Mr, Muhammad Taufiq Sumadi Mr, Emmilya Umma Aziza Gaffar

Knowledge Engineering and Data Science

In geographically dispersed markets, operational costs should be reflected in sales planning to support accurate performance evaluation. However, such considerations are often neglected in practice. This study proposes a hybrid analytical framework to map brand-based product sales potential, with and without operational cost consideration, using historical sales data from PT Karya Inti Total Anugerah (PT KITA) in East Kalimantan. The framework integrates spatial, statistical, and machine learning techniques. Principal Component Analysis (PCA) is used to reduce the dimensionality of variables related to travel distance, total sales, and units sold, where travel distance represents the primary contributor to operational costs. K-Means …

Cognitive Eeg Differentiation With Hypnosis-Based Noise Reduction And K-Harmonic Means For Personalized Brainwave Modeling, Ahmad Azhari, Dimas Chaerul Ekty Saputra

Knowledge Engineering and Data Science

This study investigates the integration of hypnosis-based noise reduction and K-Harmonic Means (KHM) clustering for personalized brainwave modeling using Electroencephalography (EEG) data. EEG signals were collected from 100 participants using a Neurosky Mindset sensor at the FP1 (prefrontal) location, with each subject performing nine standardized cognitive tasks such as breathing, memory recall, and mathematical problem-solving. Hypnosis was applied not as a filtering method but as a behavioral protocol to standardize subject conditions and minimize physiological and environmental noise. The EEG signals were sampled at 128 Hz and analyzed using KHM clustering with K=4K = 4K=4, resulting in a Silhouette Score …

Ahp–Python Framework For Multicriteria Modeling Of Rice Production In Asean, Mayang Anglingsari Putri, Risqy Siwi Pradini, Anuraga Jayanegara, Alexander Dimas Yonanta Putra

Knowledge Engineering and Data Science

Rice production is a key indicator of food security and agricultural stability in Southeast Asia, especially among Association of Southeast Asian Nations (ASEAN) countries. Despite shared regional goals, disparities in rice production remain, and previous studies mainly rely on descriptive statistics, lacking structured multicriteria decision-making frameworks and computational tools for cross-country comparisons. This study addresses these gaps by proposing an integrated Analytic Hierarchy Process (AHP)–Python framework to evaluate and rank ASEAN rice production from 2013 to 2022. Three criteria are used: Total Production Volume (K1), Production Growth Trend (K2), and Recent Year Performance (K3), capturing both long-term consistency and short-term …

Stable Numerical Solution Of An Elliptic Pde Inverse Problem Subject To Incomplete Boundary Conditions, Qasim Abd Ali Tayyeh

Knowledge Engineering and Data Science

This study addresses the challenging problem of solving inverse elliptic Partial Differential Equations (PDE) with incomplete boundary data, data available only on a part of the domain boundary. The aim is to develop a robust, effective numerical framework that consistently recovers parameters and/or sources from incomplete, ill-posed data. In the case of a variational problem discretized by the Finite Element Method (FEM) and solved by an adjoint-based optimization strategy, the framework uses Tikhonov regularization. Morozov's Discrepancy Principle is used to determine regularization parameters that achieve the best balance between accuracy and stability. Even with 5% noise in the measurement data, …

Assessing Deep Learning Models And Hyperparameter Optimization For Stable Time-Series Electricity Load Forecasting, Sukma Patrya, Aji Prasetya Wibawa, Aripriharta Aripriharta

Knowledge Engineering and Data Science

Long-term electricity load forecasting plays an important role in ensuring system reliability, optimizing energy management, and making operational plans in face of continuously rising electricity demands. This study suggests a complete deep learning method for univariate forecasting of future electricity loads based on climatology and electricity consumption data for the period between 2019 and 2023. The initial dataset was cleaned, normalized, and partitioned chronologically into train/test datasets. Four train/test split cases (20/80, 40/60, 60/40, 80/20) were considered to explore the impact of different levels of historical data availability on the performance of the suggested framework from data-poor to data-rich situations. …

Unwritten Rules And Oral Transmission In Architectural Proportion Systems: Case Study Of Bubungan Tinggi House, Huzairin. Muhammad Deddy, Dila Nadya Andini, Rudi Hartono, Anna Oktaviana, Dahliani Dahliani

ASEAN Journal on Science and Technology for Development

The proportional systems in vernacular architecture often exist without formal written codification, raising questions about their transmission across generations. Bubungan Tinggi House which is a replica of the Banjar Kingdom palace was built by Banjarese merchants and aristocrats from the 16th to the 19th centuries, showing a uniform aesthetic quality, which indicates a regularity in the proportions of its form. However, no historical written manuals detailing these proportions are known to exist. To prove the existence of regularity in the Bubungan Tinggi House proportion system, research was conducted by taking 7 Bubungan Tinggi House samples spread across South Kalimantan province, …

Artificial Intelligence To Transform Lifelong Learning And Workforce Development In Southeast Asia: A Call To Action, Shyh Poh Teo, Khadizah H. Abdul-Mumin

ASEAN Journal on Science and Technology for Development

No abstract for this article type.

Classification Of Indonesian Sign Language (Sibi) Using Data Mining Algorithms K-Nearest Neighbor And Random Forest, Muhammad Zaki Wirawan, Achmad Afif, Anik Nur Handayani, Imanuel Hitipeuw, Osamu Fukuda

Knowledge Engineering and Data Science

This study aims to address the communication hallenges faced by the Indonesian deaf community by developing an automatic classification model for Sistem Bahasa Isyarat Indonesia (SIBI) using data mining techniques. The main objective is to identify a practical algorithm for recognizing SIBI hand gestures to enhance accessibility and inclusiveness in digital communication. A comprehensive dataset consisting of 32,850 gesture samples representing SIBI alphabet signs was collected and processed through feature extraction, data cleaning, and normalization using Z-Transform and Min-Max methods. Two classification algorithms, K-Nearest Neighbor (KNN) and Random Forest, were implemented and evaluated using metrics such as accuracy, precision, recall, …

Predicting Biomechanical Risk Factors For Division - I Women’S Basketball Athletes, Aayushi Shah, Vanaja Agarwal, Dhairya Shah, Harman Jani, Sristi Sharma, Kaya Tolga, Christopher Taber, Mehul Raval

School of Computer Science & Engineering Faculty Publications

Collegiate basketball is characterized by high-impact movements such as jump landings, making athletes more susceptible to injuries. Critical biomechanical factors like knee flexion, lateral trunk flexion, and foot landing asymmetry are strongly associated with injury risk. This study aims to predict six biomechanical risk factors in the landing error scoring system (LESS). The dataset comprises 8600 video frames of counter-movement jumps (CMJs) from 17 NCAA Division I female basketball athletes, recorded from frontal and lateral perspectives and annotated using a customized error annotation algorithm. The study uses the You Only Look Once (YOLOv5nu) model to analyze the basketball athletes’ CMJ …

Lunar Refueling: Legal Issues And Suggested Solutions, Francesca Giannoni-Crystal

Journal of Law and Mobility

The establishment of settlements and economic activities on the Moon is expected to occur in the near future, positioning the Moon as a critical hub for continued exploration of the Solar System. Central to this development is the creation of a lunar refueling industry, which will play a pivotal role in supporting lunar activities and fostering further exploration.

Lunar refueling, which includes extracting local resources like lunar ice water to obtain hydrogen, offers key benefits, such as reducing the need for resupply missions from Earth, lowering launch costs, extending mission capabilities, and enabling launches from the Moon, which are more …

Photocatalytic Performance Of Ba₀.₈Ca₀.₂Tio₃ Composite For Norfloxacin Removal In Aqueous Solutions, Raj Mohanty, Swayam Aryam Behera, Asima Subhadarshini, Binita Nanda, P. Ganga Raju Achary

Journal of Metals, Materials and Minerals

This study investigates the degradation of norfloxacin using a Ba0.8Ca0.2TiO3 (BCTO) perovskite composite synthesized via a simple solid-state method. Variety of characterization techniques, including photoluminescence spectra, powder X-Ray Diffraction, UV-Vis Diffuse Reflectance Spectra, FE-SEM and Fourier-Transform Infrared spectra confirm the structural and optical properties of BCTO. Electrical characterization further elucidates its conductive properties. The BCTO composite demonstrates an impressive 87% degradation rate of norfloxacin, attributed to its reduced electron-hole recombination, enhanced light harvestation, and improved charge carrier mobility. Kinetic studies indicate that the degradation process adheres to a pseudo-first-order model, with BCTO outperforming both pure BaTiO3 and conventional photocatalysts. These …

Improving The Mechanical Performance Of 45s5 3d Scaffolds Through The Particles Of Barium Titanate Ceramics, Surirat Yotthuan, Usanee Pantulap, Nuttawan Sawangboon, Ornuma Tungsanguan, Ekarat Meechoowas, Kansiree Kaewmorakot, Nathaporn Uthaichai, Theerachai Bongkarn

Journal of Metals, Materials and Minerals

Bioglass® 45S5 is widely used in bone tissue engineering due to its excellent bioactivity. However, its low mechanical strength remains a major limitation. In this study, 25 wt% barium titanate (BaTiO3; BT) was incorporated into 45S5 scaffolds to improve mechanical performance and modulate bioactivity. The 3D scaffolds were fabricated using the foam replication method and exhibited interconnected porosity, with average pore sizes of 471 ± 94 μm (45S5) and 598 ± 58 μm (45S5/BT25), closely resembling human bone. The addition of BT increased the density and compressive strength of the scaffolds to 2.89 ± 0.18 g∙cm‒3 and 2.0 ± 0.2 …

Synthesis And Characterization Of Silica Nanoparticles From Solar Panel Glass Cullet, Pathomporn Ussawanawachat, Nithiwach Nawaukkaratharnant, Apirat Theerapapvisetpong

Journal of Metals, Materials and Minerals

The rapid growth of solar energy as a renewable resource has led to a significant increase in discarded solar panels. Recycling their glass components, especially fine cullet fragments, remains a major challenge due to impurity levels and processing limitations. This study proposes a sustainable approach to recycle solar panel glass cullet into high-purity silica nanoparticles using alkali fusion followed by acid precipitation. Process conditions including cullet to NaOH ratio, fusion temperature, and surfactant addition were optimized. The highest silica yield of 60.26% was achieved at a 1:1.4 cullet to NaOH ratio and 500℃. Polyethylene glycol (PEG 1000) was used as …

Laser Ablation Behavior And Ablation Threshold Of Entropy-Controlled Perovskite Coatings, Shuo Wang, Junyang Lu, Mengqing Zhang, Jiayi Zheng, Tong Zhang

Journal of Metals, Materials and Minerals

The protection threshold of laser ablation resistant materials lags behind the development of laser power density. Single-functional laser ablation resistant materials can no longer meet the practical needs. High-entropy perovskites with infinite chemical composition, tunable bandgap structure, and efficient thermal management capabilities provide new ideas for developing novel high-reflectivity and low-thermal-conductivity multifunctional laser ablation resistant materials. Herein, leveraging these unique advantages of high-entropy perovskites in optics and thermodynamics, four entropy-controlled perovskite coatings, Ba(Zn1/2Ta1/2)O3 (BZTO), Ba(Zn1/3Ta1/3Nb1/3)O3 (BZTNO), Ba(Zn1/4Ta1/4Nb1/4Ti1/4)O3 (BZTNTO) and Ba(Zn1/5Ta1/5Nb1/5Ti1/5Zr1/5)O3 (BZTNTZO) are designed. Through time-dependent laser ablation experiments, the optical and thermal properties are comprehensively evaluated. And laser ablation behavior …

Downstreaming Of Natural Materials Huta Ginjang Quartz Sand Doped With Nd2o3 For Laser Medium Application, Juniastel Rajagukguk, Jakrapong Kaewkhao

Journal of Metals, Materials and Minerals

The QSBoBa glasses with chemical formula 10 Quartz sand + (50-x) B2O3 + 10BaO + 30Na2O + xNd2O3 (x = 0, 0.5, 1, 1.5, and 2 mol%) were prepared by a conventional melt-quenching technique. The successfully fabricated glass samples will be analyzed based on their physical, structural, optical and luminescent properties. The XRD and FTIR spectra have been included to observe the complete structural properties. Optical absorption spectra revealed several characteristic transitions, with a prominent hypersensitive transition 4I9/2→4G5/2 at 584 nm, indicating an increasing asymmetry and disorder at higher Nd3+ concentrations. The photoluminescence emission spectra demonstrated strong radiative transitions of …

Crack Development Of Electroplated Niw Alloys And Their Wettability And Tribological Properties, Jidsucha Darayen, Suwat Ploypech, Martin Metzner, Claudia Beatriz Dos Santos, Petch Jearanaisilawong, Yuttanant Boonyongmaneerat

Journal of Metals, Materials and Minerals

This study investigates how sodium tungstate concentration (20–46 wt.%) and current density (40–60 A/dm²) affect the microstructure, wettability, mechanical properties, and tribological behavior of electrodeposited Ni-W coatings. Results show that increasing current density markedly raises crack density (from <100 to >400 cracks/cm²), while tungstate concentration has minimal effect. XRD confirms Ni-W solid solution formation, with higher tungsten content refining grains and increasing hardness—peaking at 900 HV at 50 A/dm² (an 80% rise from 500 HV at 40 A/dm²). However, excessive stress at 60 A/dm² leads to microcracking and hardness plateauing (~650–700 HV). Higher crack density improves wettability (contact angle ~17°), enhancing lubricant …

Upcycled Waste-Derived Triboelectric Nanogenerator For Sustainable Energy Harvesting, Archana Panda, Basanta Kumar Panigrahi, Subhendu Pati, Sunit Gourav Mohanty, Kushal Ruthvik Kaja

Journal of Metals, Materials and Minerals

The proliferation of disposable paper-based materials in laboratories has raised significant environmental concerns due to their rapid discard and accumulation. This study explores the upcycling of commonly discarded laboratory waste, specifically butter paper and polyurethane (PU) foam, into a single-electrode triboelectric nanogenerator (TENG) for mechanical energy harvesting. The fabricated device employs butter paper as the positive triboelectric layer and PU foam as the negative layer, with an aluminium tape electrode. Electrical tests reveal a peak voltage of 21 V and current of 47 nA, reaching a maximum power of 438 nW at 500 MΩ load. The TENG demonstrates stable performance …

The Effects Of Starting Microstructure On The Results Of Double Intercritical Annealing Process Of 0.107%C-2.39%Mn-0.453%Si Dual Phase Steel, Wichayut Chumoung, Nithi Saenarjhan

Journal of Metals, Materials and Minerals

This study investigates and compares the effects of the starting microstructure on the double intercritical annealing (DIA) process on the microstructure and mechanical properties of 0.11%C-2.39%Mn-0.45%Si dual phase steel. The specimens were austenitized, followed by water quenching (WQ) or air cooling (AC), then DIA at 730°C. For the WQ method, high cooling rate results in the formation of a high strength martensitic structure. Conversely, AC method yields a moderate cooling rate, forming a bainitic structure. After single intercritical annealing (SIA), the microstructure transformed into ferrite and martensite. WQ method specimens contain high stress concentration, leading to earlier recrystallization compared to …

Effects Of Thickness On The Performance Of Sno2 Gas Sensors Using Low-Temperature Co-Fired Ceramic, Montri Aiempanakit, Kittiyaporn Singsumphan, Chutima Nakmuk, Cheewita Suwanchawalit, Manatsawee Srirak, Kata Jaruwongrungsee, Anurat Wisitsoraat, Monrudee Liangruksa, Chawarat Siriwong

Journal of Metals, Materials and Minerals

This study develops SnO2-based gas sensors integrated with a low-temperature co-fired ceramic (LTCC) micro hotplate for ethanol detection. SnO2 nanoparticles were synthesized using a simple precipitation method, and sensing layers with varying thicknesses around 0.24 µm, 0.71 µm, and 1.20 µm were applied to evaluate their influence on performance. The results show that the optimal configuration is a 0.71 µm layer, offering high sensitivity, fast response, and efficient recovery. Operating at a low voltage of 3.2 V, the sensors exhibit low power consumption, suitable for portable and battery-operated applications. The gas-sensing mechanism relies on changes in resistance due to interactions …

Atmospheric Corrosion Of Hot Dip Galvanized Structural Steel Exposed To The Tropical Climate Of Thailand, Adithep Bunphot, Pakawat Sancharoen, Somnuk Tangtermsirikul, Taweep Chaisomphob

Journal of Metals, Materials and Minerals

Hot dip galvanized steels were tested in the atmospheric tropical climate environments of Thailand for 12 month from March 2021 to March 2022. Three locations were studied, i.e. a rural area at Saraburi in the central part, an industrial area at Chonburi in the eastern part, and a coastal/urban area at Songkhla in the southern part of Thailand. The thickness loss of the galvanized steel samples was measured by the weight loss method. Types of corrosion products observed on the samples were zincite, wulfingite, hydrozincite, and simonkolleite. All of them were found on the sample at Songkhla. Three of them, …

Lactic Acid-Assisted Complexation For Enhanced Lithium Extraction And Its Application To Spent Libs, Sibananda Sahu, Niharbala Devi

Journal of Metals, Materials and Minerals

A novel approach for complexing lithium with lactic acid to enhance extraction efficiency and its application to spent LIBs was proposed in this study. Key parameters influencing the extraction were systematically examined, including lactic acid concentration, pH of the aqueous phase, concentration of extractant, diluent selection, phase ratio between organic and aqueous phase, and stripping efficiency. Lithium extraction showed a remarkable improvement, rising from 16% to 43%, as the lactic acid concentration enhanced from 0.01 mol∙L‒1 to 1.0 mol∙L‒1. This was achieved using D2EHPA (0.1 mol∙L‒1)  at a maintained pH of 6.5. Maximum lithium extraction of 84.5% was observed at …

Development Of Ceramic Based Novel Materials For Application In Low Temperature Solid Oxide Fuel Cell (Ltsofc) – A Critical Review, Kaliappan Tamilselvan, Arputharaj Samson Nesaraj

Journal of Metals, Materials and Minerals

In the field of renewable energy, fuel cell research has emerged as a promising source of energy for the future. Fuel cells utilize fuels more efficiently compared to other energy generation systems. Solid oxide fuel cell (SOFC) systems are gaining prominence due to their applications in military operations, mobile power supplies, and stationary power generation. Significant research efforts are being made to lower the operating temperature of SOFCs from 1000℃ to approximately 600℃, leading to the development of low-temperature solid oxide fuel cells (LTSOFCs). This is being achieved by selecting alternative electrode and electrolyte materials, particularly ceramics, to enhance their …

The Effect Of Asphalt Emulsion On The Properties Of Fly Ash Based Geopolymers, Natcha Prommityat, Chiravoot Pechyen, Pitak Laoratanakul, Benya Cherdhirunkorn

Journal of Metals, Materials and Minerals

This research aimed to study the effect of asphalt emulsion (AE) on the properties of fly ash based geopolymers. Solid waste materials used for the production of geopolymer were coal fly ash (FA) 70 wt% and bagasse ash (BA) 30 wt%. Alkaline solution used for the geopolymerization reaction was the mixture of 10 M NaOH and Na2Sio3

with the ratio of 1:2. The liquid and solid (L/S) ratios of 0.6, 0.7 and 0.8 were prepared. The AE of 1 wt%, 3 wt% and 5 wt% were added into the raw materials mixtures. Then, the mixed slurry was casted into a …

Antibacterial, Self-Adhesive Guar Gum/Polyvinyl Alcohol/Tannic Acid Conductive Hydrogels For Flexible Strain Sensors, Noppanan Putdon, Somnuk Theerakulpistut, Rawit Jittham, Pornnapa Kasemsiri

Journal of Metals, Materials and Minerals

In this research, a multifunctional strain sensor with antibacterial properties and self-adhesion capabilities was developed using guar gum (GG), polyvinyl alcohol (PVA), and tannic acid (TA). The incorporation of TA into GG-PVA hydrogel-based strain sensors was investigated to evaluate its effects on mechanical and electrical properties, self-adhesion, and antibacterial activities. The anti-bacterial activities against Escherichia coli (E. coli) and Staphylococcus aureus (S. aureus) were enhanced with the increasing content of TA. The adhesive strength was observed in the range of 1.20 ± 0.10 kPa to 5.05 ± 0.23 kPa, and the values tended to increase as TA content increased. The …

Mechanochemical Synthesis Of Ni(Ii)-Tptz Complexes With Co-Ligands: Spectroscopy, Dft, And Biological Studies, Deepak Senapati, Anulipsa Priyadarshini, Debadutta Samal, P. Ramesh Babu, Satyanarayan Sahoo, Narayan Chandra Bera, Raghabendra Samantaray, Jagannath Panda, Rojalin Sahu

Journal of Metals, Materials and Minerals

New mixed-ligand Ni(II) complexes [Ni(tptz)(1,10-phen)] (1), [Ni(tptz)(2-Mimd)2] (2), and [Ni(tptz)Imd)2] (3) were synthesized via a green, solvent-free mechanochemical approach using ball milling. The primary ligand used was 2,4,6-tris(2-pyridyl)-1,3,5-triazine (tptz), with secondary ligands being 1,10-phenanthroline, 2-methyl imidazole, and imidazole, respectively. Structural characterization by IR, UV-Visible, photoluminescence spectroscopy, and powder X-ray diffraction, supported by DFT calculations, revealed a distorted square planar geometry for complex 1 and distorted tetrahedral geometries for complex-2 and complex-3. Notably, bathochromic shifts in the UV-Vis spectra confirm metal-ligand charge transfer transitions and extended π-delocalization. Powder XRD analysis determined average crystallite sizes of 17.86 nm (1), 25 nm (2), …

Liquid-Liquid Extraction Of Nd(Iii) Using [P66614][Cy272] Ionic Liquid, Prasanjit Das, Kali Sanjay, Niharbala Devi

Journal of Metals, Materials and Minerals

This study explores the extraction of Nd(III) from synthetic solutions using the ionic liquid [P66614] [Cy272]. Key extraction parameters, including the effect of phase contact time, initial pH, salting-out agents, extractant concentration, and temperature, were systematically optimized. Results revealed that a phase contact time of 15 min, an initial pH of 2.14, and 0.2 mol∙L‒1 NaCl as a salting-out agent and extractant concentration of 0.015 mol∙L‒1 [P66614][Cy272], achieved maximum extraction efficiency of 99.7%. Thermodynamic analysis confirmed the process is to be exothermic, spontaneous, and entropy-driven, highlighting the strong complexation between Nd(III) and the ionic liquid [P66614][Cy272]. Stripping tests revealed that …

Consumer Preferences And Willingness To Pay For Vertiport Design, Amenities, And Services, David C. Ison

International Journal of Aviation, Aeronautics, and Aerospace

The rise of urban air mobility (UAM) and electric vertical takeoff and landing (eVTOL) aircraft necessitates the development of well-designed vertiports that align with consumer expectations. This study examines consumer preferences and willingness to pay (WTP) for vertiport design, amenities, and services to inform infrastructure planning and investment strategies. Using a survey-based quantitative research design, data were collected from 500 participants to assess key factors influencing WTP, including convenience, security measures, service efficiency, and premium offerings. Findings indicate that location accessibility, affordability, and streamlined security procedures are primary determinants of vertiport adoption. While aesthetic and retail enhancements contribute to passenger …

An Educational Framework For The Disruptive Technologies And Their Integration In The Un Sdgs Curriculum, Tulsi Pawan Fowdur, Aishani Radhakeesoon

Journal of Educational Technology Development and Exchange (JETDE)

Disruptive technologies such as 5G, AI, IoT, cloud computing, and blockchain are revolutionizing life on our planet and at the same time contributing immensely towards sustainable development and the achievement of the UN SDGs. Nowadays, optimizing the management of resources in various fields such as manufacturing, education, health, transportation etc. in a much more efficient way is possible. This can be achieved by capturing a wealth of real-time data via IoT sensors with the ultra-reliable and low latency connections provided by 5G. Additionally, with cloud computing, blockchain, and AI, these real-time systems can securely transmit, store, and analyze a massive …