bluuebunny/crossref_metadata_2025 huggingface dataset:
Rancang Bangung Kotak Penerima Paket Berbasi IoT
Authors: Arzetti Mee Venezia , Fardany Faisal A Labib , Mahmudah Norma
Published: April 2024

Kotak penerima paket merupakan wadah atau tempat untuk menyimpan pesanan yang bisa kita pesan melalui online store. Kotak penerima paket ini berguna bagi masyarakat,karena memudahkan masyarakat dalam menerima paket, terutama jika kita sedang melakukan aktivitas diluar rumah. Kurir tidak perlu menunggu untuk menyerahkan paket, tanpa kotak penerima paket ini, membuat kurir harus menunggu penerima dan paket  yang dipesan saat diantar dilempar begitu saja, yang mengakibatkan kerusakan pada pesanan kita. Adapun kotak penerima paket yang masih manual, dimana kotak tidak efisien, penggunaan kotak penerima paket yang manual hanya sebagai wadah untuk meletakkan pesanan dan berisiko terjadi pencurian. Rancang bangun alat yang dapat membuat masyarakat tidak resah dan tenang meskipun beraktivitas diluar rumah, ketika ada pesanan paket yang datang.
Alat ini menggunakan microcontroller ESP32-Cam yang memperoleh input dari sensor Infrared, dan akan dimonitor oleh telegram. Dengan adanya alat tersebut, memudahkan masyarakat yang melakukan pesanan, paket tidak akan rusak, dan aman, meskipun penerima sedang tidak berada di rumah. Alat penerima paket ini berbasis IoT dimana, kita bisa memantau  pesanan melalui smartphone.
Rancang bangun kotak penerima paket dapat berjalan sesuai dengan rancangan penulis, dimana sistem dapat bekerja dengan baik. Sensor Infrared mendeteksi objek kemudian mengirim perintah pada ESP32-cam untuk mengambil gambar dan hasil gambar akan dikirimkan pada telegram untuk notifikasi bahwa terdapat paket yang tiba. Notifikasi muncul pada LCD agar kurir mengetahui bahwa kotak paket akan terbuka atau tidak.
Kata kunci : Kotak penerima paket, ESP32-Cam, Berbasis IoT
BOOST CONVERTER DESIGN FOR ELECTRIC WHEEL CHAIR CHARGING STATION WITH SOLAR PANEL SOURCE
Authors: Mahendra Moh. Rifqi
Published: April 2024

Fasilitas umum harus mendukung adanya pengguna kursi roda listrik yang dimana tentunya harus mengacu pada Sustainable Development Goals (SDGs) energi bersih dan terjangkau. Stasiun pengisian berbasis solar panel akan membantu pengguna dalam pengisian baterai kursi roda listrik. Pengguna diharapkan tidak lagi khawatir dengan habisnya baterai pada kursi roda listrik pada saat berada diluar rumah serta baterainya menyesuaikan dari kursi roda listrik yaitu 25,9V 6000mAh. Metode penelitian yang digunakan dengan memanfaatkan solar panel sebagai sumber untuk mengisi baterai. Dari sumber solar panel akan dibaca tegangan dan arusnya dengan menggunakan sensor tegangan, dimana sensor tegangan akan dibaca nilai Analog Digital Converter (ADC) melalui mikrokontroler ArduinoUNO untuk mengkonversi nilai, tegangan yang keluar dari solar panel digunakan untuk charging dengan boost converter. ketika sudah diketahui tegangan yang keluar dari solar panel maka baterai akan charging dengan tegangan dijaga konstan tidak lebih dari 32,4V. Rangkaian pengisian baterai menggunakan rangkaian boost converter. Proses charging dilakukan sampai baterai terisi penuh pada tegangan 29,4V, setelah proses charging dilakukan sampai tegangan 29,4V, integrasi charging control dengan BMS memantau State of Charge jika sudah penuh maka charging diputus supaya tidak terjadi overcharging pada baterai dan dapat meminimalisir terjadinya kerusakan pada baterai.
Safe zones in dorsal portals for wrist arthroscopy: a cadaveric study
Authors: ANTONOGLOU G , PAPATHANAKOS G , VRETTAKOS A , KITSOULI A , VARVAROUSIS D.N. , KEFALAS A , PARASKEVAS G
Published: April 2024

The standard dorsal portals are the most commonly used in wrist arthroscopy. This cadaveric study aims to determine safe zones, by quantitatively describing the neurovascular relationships of the dorsal wrist arthroscopy portals: 1-2, 3-4, midcarpal radial, midcarpal ulnar, 4-5, 6-radial and 6-ulnar. The neurovascular structures of twenty-one fresh frozen human cadaveric upper limbs were exposed, while the aforementioned portals were established with needles through portal sites. The minimum distance between portals and: dorsal carpal branch of radial artery, superficial branch of radial nerve, posterior interosseous nerve and dorsal branch of ulnar nerve, were measured accordingly with a digital caliper, followed by statistical analysis of the data. The median and interquartile range for each portal to structures at risk were determined and a safe zone around each portal was established. Free of any neurovascular structure safe zones surrounding 1-2, 3-4, midcarpal radial, midcarpal ulnar, 4-5, 6-radial and 6-ulnar portals were found at 0.46mm, 2.33mm, 10.73mm, 11.01mm, 10.38mm, 5.95mm and 0.64mm respectively. Results of statistical analysis from comparisons between 1-2, 3-4 and midcarpal radial portals, indicated that 1-2 was the least safe. The same analysis among 3-4, midcarpal radial, midcarpal ulnar and 4-5 portals indicated that midcarpal portals were safer, while 3-4 was the least safe. Results among midcarpal ulnar, 4-5, 6-radial and 6-ulnar portals indicated that 6-radial and specifically 6-ulnar were the least safe. This study provides a safe approach to the dorsal aspect of the wrist, enhancing established measurements and further examining safety of the posterior interosseous nerve.
Does depression influence the postoperative result of total hip arthroplasties?
Authors: PARDO POL A , AMESTOY RAMOS J , FONTANELLAS-FES A , LIZANO-DÍEZ X , GARCIA A.L. , MARQUES LÓPEZ F
Published: April 2024

Chronic pain and functional limitations caused by coxarthrosis are important factors in the onset of depression, as there are higher rates of depression in this group of patients than in the general population. Total hip arthroplasty (THA) has been shown to decrease pain and improve function in these patients, which may positively influence the patient’s depressive symptoms. The objectives of the study are to evaluate the differences between patients with depression and patients without depression in the immediate postoperative period (pain and hospitalization time) and to evaluate functional outcomes one year after surgery. Therefore, we conducted a prospective cohort study in which all patients with indications for primary total hip arthroplasty during 2018 were included. Preoperatively, patients completed the PHQ-9 questionnaire, and were classified into patients with depression (if preoperative PHQ-9 > or = to 10) and patients without depression (pre PHQ-9 < to 10). During the hospital stay, postoperative pain was assessed by VAS, and the need for analgesic rescue with major opioids. One year after surgery, the PHQ-9 test was retaken, and functional outcomes were assessed. The results showed that both groups were comparable in terms of sex, age, BMI, and ASA. No differences were found in postoperative pain or hospitalization time. There were also no differences between the two groups of patients in functional outcomes one year after surgery. Therefore, we can conclude that patients with a diagnosis of depression do not present worse postoperative pain after THA. In addition, they show a significant improvement in their depressive symptoms one year after surgery.
Perioperative steroid injection in elbow arthroscopy
Authors: VANDERSTAPPEN M , VAN MELKEBEKE L , DUERINCKX J , CAEKEBEKE P
Published: April 2024

The goal of the present study was to evaluate the incidence of infection after perioperative intra-articular steroid injection during elbow arthroscopy. Starting from May 2019, we prospectively included all patients that underwent an elbow arthroscopy for various indications. All patients received preoperative antibiotics intravenously and a corticosteroid injection immediately after portal closure. Patients who needed ligamentous repair and aged below 18 years old were excluded. Final follow up of all patients was 3 months. In total, 108 elbow arthroscopies were performed in 100 patients. No major complications and 1 minor complication were seen. One patient developed a seroma that resolved spontaneously after 14 days without intervention or antibiotics. In this patient group, a perioperative corticosteroid injection following elbow arthroscopy did not increase the chance of infection.
Enhancing Rural Revitalization Through Optimized Landscape Planning and Design: Insights from Beijing's Surrounding Villages
Authors: Zhang Yongyu
Published: April 2024

With the rapid economic development and the proposal of rural revitalization policies, the development of rural planning and construction has also received more and more attention, and the content of rural planning and construction practice is gradually expanding, but what follows is the integration of the regional cultural environment and the natural ecological environment is not high enough, and the phenomenon of disappearing village atmosphere, incomplete agricultural industrial chain, weakened functions, and incompatible ecological development has repeatedly occurred. Gradually, the village living environment has also been threatened, and the landscape planning and design of the rural living environment conveyed by different artistic modes and meanings has brought new opportunities for the realization of the rural revitalization strategy. This research takes the optimization of random forest algorithm as the core, and deeply explores the new ideas and methods of art mode and landscape planning and design of rural human settlements. This study mainly takes the surrounding villages of Beijing as an example and uses the moving window method to calculate the two-dimensional and three-dimensional landscape indices in this rural area. The multi-scale relationship of the living environment was analyzed. The power function fitting results of the window variation coefficient of the landscape index show that the optimal window size for studying the relationship between art patterns and three-dimensional landscape patterns is about 700 M.
Multipoint ECG Signal Extraction on Palms and Figures for Human Identification System
Authors: Jamaludeen, Joel Livin, Gulam Wahid Sami Al-Ghnimi,
Published: April 2024

The ECG signal contain vital information for cardiac disease which is one of main cause of catastrophic mortality. In conventional technique, the signals are extracted through different points located on the limbs and surface of the chest. The biological impedance of human body eliminates any practical means of making fake copies of the relevant physiological traits.  Moreover, this method needs the complex data acquisition system and apparatus as well as inconvenience way of acquisition of signal at the chest. Hence, there is a demand to find out the promising alternative technique to extract the ECG signals in more convenient way with high accuracy. In this paper, the real-time ECG monitor has been developed to extract the signals from the multipoint on the hands and fingers. Placement of the electrodes are done based on the acupressure point on palms and fingers. A total of 120 volunteers were investigated to develop the ECG database as the development dataset. This work uses the template matching algorithm and distance classification method to analyze and to find the best similarities between the developed dataset of ECG biometric signals to improve the identification rate. In order to lessen the noise that was recorded with the ECG signals, signal averaging was used to create ECG databases and templates. The recognition rate rose to 98% accuracy on the development dataset when the prescreening procedure was introduced to create a combined system model. ECG biometric model was created by combining the two models and using the development dataset's results. The algorithm was applied on the entire developed ECG dataset and 96% of accuracy rate was achieved in identification.
A Collaborative Filtering-Based Recommender Systems approach for Multifarious applications
Authors: Praful Shukla, Aditya Singh, Sangeeta Vhatkar Aryan Shetty, Aryan Shetye,
Published: April 2024

Recommender systems are crucial in today's IT landscape, enhancing user experiences in various industries. Collaborative filtering (CF) is a key approach, using historical interaction data to predict user preferences. This paper presents CF advancements, with a focus on latent factor models that represent users and items in a compact feature space. It also addresses sparsity issues with techniques like neighborhood-based approaches and content augmentation. Contextual CF, which incorporates temporal and contextual dynamics, is explored through methods like matrix factorization with side information and session-based recommendation. Evaluation metrics such as MAE and RMSE, along with novel ranking-based metrics, provide a comprehensive assessment of recommendation quality. In this paper we outline cutting-edge CF techniques, showcasing their mechanisms and applications and were able to achieve accurate recommendations of almost 90% using MAE and RMSE metrics. By integrating latent factor modeling, sparsity mitigation, contextual enrichment, and advanced evaluation, it paves the way for the next generation of personalized recommendation systems, tailored to meet evolving demands in modern information environments.
A Comprehensive Analysis of AI/ML-enabled Predictive Maintenance Modelling for Advanced Driver-Assistance Systems
Authors: Vishal Goyal, Kamal Sharma Amit Jain,
Published: April 2024

Advanced Driver-Assistance Systems (ADAS) are changing driver-vehicle interactions to improve road safety and reduce distractions. Technological advances like ADAS and AI in cars present societal challenges and opportunities. It shows how AI aids human-machine communication by improving motor skills. The auto industry is interested in ADAS because it can increase energy efficiency, safety, and comfort. Numerous studies have shown its benefits. ADAS and vehicle networking show promise, but establishing a sound control system is challenging. Model Predictive Control (MPC) is one answer to these problems. To manage higher-level connectivity and automation, the paper analyses and implements key research. It also finds issues and recommends solutions. The latest driverless car ADAS improvements have dramatically increased passenger safety. These systems are safer and more automated using sensors and ECUs. Most ADAS have RADAR, cameras, ultrasonic, and LiDAR. This work uses AI/ML-enabled Predictive Maintenance modelling to improve ADAS safety and longevity. AI and ML in Advanced Driver Assistance Systems (ADAS) are significant vehicle safety and reliability advances. AI/ML-enabled predictive maintenance detects and fixes ADAS component faults. ADAS predictive maintenance using AI/ML can detect issues, improve driver safety, and boost vehicle efficiency. Advanced sensor arrays and control units are needed for adaptive cruise control, traffic sign recognition, and lane-keeping assistance. AI/ML algorithms discover issues and enable early interventions in predictive maintenance models. Predictive maintenance is examined utilizing classical machine learning, deep learning, and reinforcement learning. Integration of numerous AI/ML models, real-time data processing, customization based on vehicle usage patterns, scalability, and adaptability of predictive maintenance models to new ADAS technologies are research gaps.
Establishing Robust Data Sharing Through a Blockchain-Driven Standardization Framework in Local Community Healthcare System
Authors: Thelma D. Palaoag Lenigrace L. Mecias
Published: April 2024

The healthcare industry's digitalization has sparked innovation and improved various aspects of the services. Community hospitals in Pangasinan still use conventional paper-based methods for managing patients' health records. However, the healthcare information system is still in a traditional structured excel platform and lacking of communication among healthcare providers. This study aims to design a blockchain-driven standardization framework to establish robust data sharing and increase the confidentiality and security of stakeholders in using the healthcare system. In gathering data, a focus group was organized to give a valuable perspective on the present state of the healthcare system through conducting an online survey, seven respondents are direct users of the healthcare system. The study adopted the IS4H assessment maturity tool concerning data management and information technology in identifying the gaps and challenges in the existing healthcare system. A comprehensive review of related literature regarding the usability of access control models in the study and the potential of blockchain technology in the healthcare system is also essential. Blockchain technology provides features that enhance the accessibility and immutability of the healthcare system and to the stakeholders. The research underscores the paramount importance of integrating blockchain, access control, and security measures to safeguard privacy in the system. The implication of the integration of blockchain is seamless, secure, and patient-centric which has a great potential to contribute to improving the digitalization of healthcare quality of services in the healthcare system.
A Sentiment Analysis of Autism Tweets
Authors: Norwahidah Mohamad Yazid
Published: April 2024

In the dynamic landscape of social media, where intellectual discourse, information retrieval, and the exchange of ideas thrive, scholarly attention is increasingly drawn to the growing trend of users expressing viewpoints and ideas, notably manifested in a surge of daily tweets related to autism. This research explores the escalating phenomenon of users utilizing emojis, hashtags, reviews, and personal experiences on social media platforms to articulate their encounters with social challenges. The focal point of this research study is the development of the Autism Tweets Visualization Dashboard, a pivotal tool that categorizes and visually represents word usage across social media platforms. Beyond the identification of attitudes in user comments, this innovative dashboard serves as a real-time lens into contemporary social issues. The research aims to enhance public awareness of rights and security, offering valuable insights into a diverse array of perspectives and emotions. Utilizing sentiments analysis, the community gains the ability to swiftly showcase nationwide tweets, pinpointing content relevant to autism, and assessing public sentiment on specific subjects. This research contributes not only to understanding the dynamics of social media expression but also to empowering communities to engage in informed discussions, fostering a deeper understanding of the nuanced landscape of autism-related discourse in the digital realm.
Physical Security to Cybersecurity (Challenges and Implications in the Modern Digital Landscape)
Authors: Abdul Moqset Raufi , Muhammad Hamza Usmani Basheer Riskhan
Published: April 2024

The transition from physical security to cybersecurity is a critical aspect of modern security management in the digital age. This research paper explores the challenges and implications of this transition, with a focus on the impact on digital assets and information, challenges for individuals, organizations, and governments, and best practices for mitigating cybersecurity risks. The literature review discusses the evolution of physical security and cybersecurity, key concepts and frameworks in cybersecurity, and best practices for managing cybersecurity risks. The research findings highlight the limitations of physical security in the digital landscape and emphasize the need for a proactive and comprehensive approach to cybersecurity. Contributions to the field of cybersecurity include insights into the evolving nature of cybersecurity threats, the importance of risk assessment and incident response planning, and the need for governance and risk management strategies. The limitations of the study are acknowledged, and recommendations for future research are provided. Overall, this research paper contributes to the field of cybersecurity by providing valuable insights and recommendations for enhancing cybersecurity measures in the modern digital landscape.
Optimization of Bypass Flow Introduction Angle in Dual-Throat Nozzle
Authors: Shubham , Sarthak Joshi , M. Zunaid Sampreetananda Bharali
Published: April 2024

This research paper investigates the optimal angle for introducing a bypass jet in rocket engines for thrust vectoring. Numerical simulations using a finite-volume method were performed to test a range of bypass jet angles and their effect on flow performance. Results indicate that the optimal bypass jet angle is between 40 and 50 degrees, with larger angles leading to decreased thrust. These findings demonstrate the potential for bypass jet introduction to improving thrust vectoring in rocket engines, especially in the supersonic regime. Such insights may inform the development of more efficient and effective rocket engines for various applications, including satellite launches, space exploration, and defense. Overall, this study represents a valuable contribution to the field of rocket propulsion and may drive advances in engine design and performance.
Improved Risk Matrix for Distribution Transformer in East Java: Analytic Network Process and Modified Total Ownership Cost
Authors: Ruri Harsono Abi
Published: April 2024

Many studies have been conducted on risk assessment in distribution transformers. However, previous studies have not fully considered the risk analysis and cost impact of damage to distribution transformers. In addition, the use of the Modified Total Ownership Cost Method is one comprehensive approach to calculating the cost implications of damage to distribution transformers. The use of risk matrix to determine likelihood factors and consequence factors still does not consider several factors, and the factors used often have equal weight and are interrelated. This study collects all the indicators used for probability and consequence factors in the risk matrix and applies the Analysis Network Process to give weight to those factors. The result is a more accurate risk evaluation model, supporting decision-making regarding investment in distribution transformers in East Java. A modified and weighted risk matrix was applied to 65 distribution transformers, of which 3 had low risk, 14 had moderate risk, 38 had high risk, 8 had very high risk, and 2 had extreme risk.
Effective Power Transformer Maintenance Strategy Decision-Making: Health Index, Statistical Analysis, and Life Cycle Cost
Authors: Syah Afrizka Mareta Arum
Published: April 2024

As a State-Owned Enterprise, PLN must provide sufficient quantity and quality electricity for the public interest. Still, on the other hand, according to the articles of association, PLN is required to make a profit. Power transformer failures significantly impact electrical system reliability, as they can disrupt electricity delivery. Many studies have been conducted on the health index of power transformers. However, previous studies only considered health indexes from one or several aspects of testing results. Life Cycle Cost is a method that helps select the best cost approach for establishing an effective maintenance strategy over the transformer's lifetime. A transformer lifetime uses a Weibull Analysis of a failure transformer in PLN TJBT from 2017-2022. This study uses a comprehensive health index by considering failure modes in transformers that integrate results from various aspects, such as observations while in operation, field inspections, and on-site and laboratory testing.  After conducting a comprehensive health index, a risk evaluation was performed to simulate the impact of different maintenance decisions. Considering the health index and life cycle cost of the transformer, a new maintenance decision-making model was developed to choose the best maintenance strategy based on the current condition of the transformer.
Knowledge, Attitude, And Practices of Colleges and Universities Towards the Prevention of Emerging Infectious Diseases: Basis for Development of School Based Health and Welfare Manual
Authors: John Peter V. Dacanay
Published: April 2024

The study was conducted on various Higher Education Institutions in the province of Nueva Ecija to determine their knowledge, attitude, and practices on emerging infectious diseases and this would be the basis for the development of school-based health and welfare manual. The profile and were said to be majority from 20-30 years old age group, the female was dominant based on the gender, the bachelor’s degree was the highest educational attainment, three (3) years and below were highly experienced, both the public and private were consistently distributed and non-health related subjects were the main handled subjects by the respondents. The teachers' overall assessment based on their knowledge was that they are generally knowledgeable, they have a positive attitude, and they are practicing all the necessary infection prevention and control towards emerging infectious diseases. The age and number of years in teaching had a significant relationship based on knowledge and attitude since the computed p-value of 0.02 and 0.01, respectively (p ≤ 0.05) is less than or equal to the critical value of 0.05 level of significance while the number of years in teaching had a significant relationship since the computed p-value of 0.01 (p ≤ 0.05) is less than or equal to the critical value of 0.05 level of significance. It shows that an increase in knowledge about illness would lead to a positive attitude regarding emerging infectious diseases (r = 0.798, p < .001) and higher practices to combat and be free from sickness (r = 0.758, p < .001). Also, an increase in attitude about illness would lead to higher practices to eliminate emerging infectious diseases (r = 0.755, p < .001). The impact risk of the participants based on the findings of the study was said to be highly relevant and conclude that educators have the appropriate and sufficient knowledge, attitude, and practices on EID as a leading and key foundation to become more knowledgeable and precise when teaching EID among students and community. For further studies, Proper knowledge, right attitude, and good practices are vital in improving the achievement of better health care. So, having awareness and advocacy to the community through the effort of the teachers will surely empower everyone's mind on appropriate tools, information, and skills to make them high-quality, right informed decisions on the proper infection and prevention control, treatment, support, and care and finally, Educators should continue their legacy and contribution to strengthening disease surveillance so that soon, we can combat and protect ourselves from the health threat caused by emerging infectious diseases.
Cement Kiln Dust as Partial Replacement of Cement for Improvement of Sabkha Soils for road application
Authors: Mohammed Yousuf Al-Aghbari
Published: April 2024

Salt-encrusted desert flats or sabkha soil, which particularly formed in arid and semi-arid zones, have raised a noticeable concern because of low bearing capacity and high compressibility. this study is aimed to explore the feasibility of stabilizing Omani sabkha using environmentally friendly stabilizer through Cement Kiln Dust (CKD). Untreated and treated sabkha were characterized using standard proctor compaction test, unconfined compressive strength (UCS) and California Bearing ratio test (CBR). Results show that utilizing 7.5% binder that contained 50% Cement Kiln Dust improved the overall properties of sabkha soil and it can be used as sub-base layers.
Organizational Justice and Faculty Engagement in State Universities and Colleges as Related to Productivity
Authors: Jerson J. Jaurigue
Published: April 2024

This survey-correlational research aimed to determine the productivity of faculty in state colleges and universities (SUC’s) as related to organizational justice and engagement. The independent variables were the organizational justice and faculty engagement, while productivity was the dependent variable. The antecedent variables were age, gender, length of service, and educational background. Two hundred forty (240) randomly selected faculty in a state institution of higher learning in Iloilo were the participants of the study, and two adopted, validated, and pilot tested data-gathering instruments were used – a Questionnaire to Measure Organizational Justice by Usmani and Jamal (2013) and an Employee Engagement Survey by Koskinen, (2015). To measure the faculty productivity, the Individual Performance Commitment and Review (IPCR) for SUC’s was utilized. Frequency count, percentage analysis, rank, mean, and standard deviation were employed as descriptive statistics while the one-way ANOVA and Pearson’s r were employed as inferential statistics. The .05 alpha level was used as the criterion for the acceptance or rejection of the null hypothesis. All statistical computations were processed through the Statistical Package of the Social Sciences (SPSS) software. Study results revealed that generally, the faculty assessed the SUC’s prevailing “high” organizational justice and work engagement, but “very high” work productivity. The faculty did not differ significantly in their assessment of the prevailing organizational justice and work engagement when they were classified according to age, sex, length of service, and educational background, yet significant differences were noted in their assessment of the work productivity when they were classified according to length of service and educational background. No significant differences were noted in the productivity of the faculty classified according to age and gender. A positive and significant relationship existed between faculty’s assessment of organizational justice in SUC’s and their work engagement, but significant relationship existed between their assessment of organizational justice in SUC’s and work productivity and between faculty engagement and work productivity. This was validated by three experts who assessed that the topics were relevant, applicable, and properly sequenced in terms of the applicability of organizational justice and faculty engagement, and this development plan could be used for the improvement of their work productivity.
Analysis Factors of Individual Tourists for Cultural Tourism in U Thong District Suphanburi Province
Authors: Wittaya Wisutruangdat
Published: April 2024

The purpose of this research had analyzed the affecting the decision of individual tourists visiting U Thong District Suphanburi Province. This research used quantitative research, and the research tool was questionnaires. Collected data from 400 Thai tourists. Used data selection method by Purposive sampling. Analysis of Data by factor analysis. Results indicated that there are seven factors that affect the decision-making of individual tourists. 1) Service and Physical of tourist attractions 2) Public relations for tourist attractions 3) Price 4) convenience of traveling 5) Souvenirs 6) Accommodation in tourist attractions 7) History and reputation of tourist attractions. Suggestions of this study 1) People in the community should show good hosts in welcoming tourists. 2) People in the community should pay attention to cleanliness within the community 3) There should be more public relations for Cultural Tourism. and 4) Should study causal factors influencing individual tourism, U Thong District, Suphanburi Province.
Curricular Strategies for the Achievement of Accounting Competence by Students in Cohorts of the First Accounting Course: Case Study in the Finance Department of the ITM
Authors: Diana Milena Pacheco Ortíz
Published: April 2024

Aim/PurposeThe article analyzes the impact of increased direct instruction hours and the inclusion of a standardized assessment on the scope of accounting proficiency.
BackgroundThe search for strategies to improve pedagogical practices is a fundamental aspect in the establishment of quality processes for the teaching of the different academic disciplines in university institutions.
MethodologyThe study methodology is an experimental analysis in two cohorts of students. Five variables were analyzed and the interrelation between them, before and after the curricular change. The sample taken were the students in cohorts of the first accounting course of the Finance Department of the ITM.
ContributionResearch contributes to university education in the accounting area by proposing standardized tests as a quality mechanism in the teaching process.
Findings   The study identified that the inclusion of the new curricular strategy has a positive impact on the learning of the competencies of the Fundamentals of Accounting subject.
Recommendations for PractitionersIt is recommended that practitioners and researchers continue to study the incidence of direct teaching hours in the increase of learning from other perspectives such as virtual education and other levels of accounting studies.
Recommendations for Researchers The document becomes a space for reflection for the community by questioning whether or not direct instruction is necessary and whether or not standardized tests are relevant.
Impact on SocietyContribution to training of new professionals under IFRS
Future ResearchIt is recommended for future research to review other aspects such as didactics, support in ICT strategies for the optimization of autonomous work, the motivational capacity of the teacher and the commitment of the students in the classroom, as elements that also affect learning and that are not reviewed in this research.
Interactive Learning Objects «Oia» in the Teaching of International Financial Reporting Standards «Ifrs».
Authors: Daniel A Gra-jales-Gaviria
Published: April 2024

Aim/Purpose            The objective of the research is to identify and evaluate the learning process of international financial reporting standards "IFRS" supported by interactive learning objects "OIA"
BackgroundThe implementation of IFRS in Colombia requires new dynamics in accounting education in the classroom with dynamic learning tools.
MethodologyThe methodology proposes a mixed qualitative and quantitative analysis of information, using the questionnaire as an instrument for data collection as a test before and after the use of the OIA. The sample is represented by students from two Colombian universities in the Public Accounting program in the subject of liabilities.
ContributionThis review allows to deepen in the learning process the need to link more and more frequently the interactivity as a tool to improve the understanding of concepts.
FindingsThe results obtained indicate that the IROs are a tool that allows a better understanding of theoretical concepts such as IFRS, argued by the improvement in the results of students by linking tools such as video tutorials and guides supported by cybernetics.
Recommendations for PractitionersIt is recommended to professionals and researchers to advance new evaluations with longer periods of time to identify if it is a true learning or just a momentary memory due to the virtual supports
Recommendations for Researchers The application of research in new virtual environments.
Impact on SocietyIn the social sphere, the research helps to reflect on the teaching exercise, the master class, the role of the teacher, the teaching process and the need to rethink the instruments used in university teaching.
Future ResearchThe article becomes a base document for future research to deepen aspects such as virtual learning, learning supported by e-media, learning and the need for teacher presence, student engagement in virtuality.
Access to Justice: A Taxonomy of Conflict and Dispute Phases
Authors: Nor ‘Adha Ab Hamid
Published: April 2024

The existence of conflicts and disputes in consumer trade has great implications for many parties because its effects can affect the current situation of consumers and the country's trade sector. Dispute resolution bodies that are procedural, ethical and have their own positive values, need to play a role in dealing with disputes brought by the parties involved. Traditionally and in practice for centuries, the court has an important function to administer and uphold the law by hearing any dispute filed according to the established procedure. This privilege, however, did not last long because consumer trade disputes changed direction by choosing alternatives and other forms of resolution mechanisms that more suit their needs, such as various Alternative Dispute Resolutions (ADR) mechanisms. This paper employs a qualitative research method to achieve the objective in discussing several theories of conflict and disputes analyse by several prominent experts. Various types of conflict theories that lead to several forms of disputes and a variety of management techniques or responses to control them from continuing are also detailed. For consumer trade disputes, the history and background of access to justice for consumers was also studied to get the real scenario of disputes that consumers often face, especially in the current era.
Continuous Organizational Agility in a Highly Regulated Industry
Authors: Inta Hartaningtyas Rani
Published: April 2024

Unlike those in other industries, highly regulated entities, such as banks, are required to be agile to business uncertainties and unforeseen risks while complying with the growing regulations. Moreover, banks pose constant challenges in the form of digitization, globalization, automation, analytics, and other forces of change that will continue to accelerate; thus, implementing a short-term agile transformation strategy will burden the company with inefficiencies. Expanding organizational and strategic management theory for the conceptualization, continuous organizational agility will follow as the manifestation of the intertwined routine dynamics-dynamic capabilities-organizational agility relationship. This study reviewed, synthesized, extended the literature, and proposed the research idea based on the relationship between routine dynamics, dynamic capabilities, and their impact on organizational agility in an integrated model. Generally, the proposed model aims to clarify: (1) the ability of an agile company to maintain stability while being dynamic and (2) the development of a more efficient trade-off between agility and efficiency during the agile transformation process. This study may provide fruitful avenues for enriching literature and future study since a dearth of empirical evidence addresses the relationship.
Implementation of R Software in Improving Student Statistical Reasoning, is it Effectivities?
Authors: Puspitasari N., Sritresna T. Maryati I., Sofyan D., Sumartini TS.,
Published: April 2024

In the current era of digitalization, statistical skills are needed to interpret and understand and make good decisions about statistical data. However, many students still have the view that statistics is a difficult subject to understand. This is based on the fact that in working on the problem sufficient statistical skills are needed, starting from basic skills to application abilities. Students who have low statistical abilities become less interested in statistics lectures. One of these statistical abilities is statistical reasoning. Statistical reasoning is the student's ability to make logical conclusions from a problem by using statistical concepts in a comprehensive manner, and making decisions as well as evaluating and interpreting the information processed. Efforts to improve statistical reasoning skills require a learning innovation using an application. The role of technology in learning statistics includes using modules assisted by the R program. The research method used is quasi-experimental with a research design, namely pretest-posttest control group design. The results showed that the statistical reasoning abilities of students whose lectures used the R program assisted module were higher than regular lectures for both the low, medium and overall groups. However, the high group had the same increase in statistical reasoning abilities between the experimental and control classes. The effect of statistics lectures using the R program assisted module was high in the medium, low and overall groups. Thus, the use of the R program assisted module is effective in increasing statistical reasoning.
Flip PDF Based Electronic Modules
Authors: SH Bariah
Published: April 2024

The use of electronic modules in learning provides flexibility, interactivity and high personalization possibilities. Teaching materials are grouped based on their shape and how they work. Teaching materials according to their form are printed teaching materials, listening teaching materials, and hearing view teaching materials. Teaching materials according to how they work consist of: unprojected teaching materials, projected teaching materials, audio teaching materials, video teaching materials, and computer media teaching materials. Flip PDF Professional can insert multimedia content such as audio, animation, text, video, and flash. Flip PDF Professional is easy to operate on laptops and mobile devices. The development of  e-modules with flip PDF Professional Software  can help students  be more interested and active in learning activities of computer network topology material at school so that it can help students to explore their e-idea ID to acquire new knowledge by itself. E-module teaching material products developed in the form of flipbooks  using professional pdf flip software on computer network topology materials. Its development uses the R&D method with model stages according to Alessi and Tollip. In its development, this product consists of designing concept ideas from e-modules, designing designs such as making image designs to support  e-modules using canva design software and developing e-modules developed using professional pdf flip software, media expert test results Feasibility  of e-teaching material productsThe module shows that the beta test results of student response reached 91.1% with a very decent category, this means that the e-module teaching materials are very suitable to be used as learning media in class and outside the classroom.
The Influence of Supervision by the Principal and Motivation on the Performance of Elementary School Teachers During Pandemic
Authors: Muhamad Taufik Bintang Kejora
Published: April 2024

Online learning is promoted as a learning solution in elementary schools during the Covid 19 pandemic. Teachers are required to be able to adapt and improve performance progressively for the optimization of learning with the support of supervision and work motivation. This study aims to analyze the effect of supervision by school principals and work motivation on the performance of elementary school teachers during the Covid 19 pandemic. This research is a quantitative research with a correlational survey involving 125 samples of elementary school teachers in the Cluster I Singawinata Teacher Working Group of Purwakarta district, West Java, Indonesia. The results showed that supervision by the principal (X1) had a significant effect on teacher performance (Y). Then work motivation (X2) has a significant effect on teacher performance (Y). And finally, supervision by the principal (X1) and work motivation (X2) have a significant effect on the performance of elementary school teachers (Y) by 46.5%.  School principals need to increase supervision to teachers continuously and systematically so that teachers have the motivation to improve their competence so that they can show good performance in improving the quality of learning during the Covid 19 pandemic.
Design and Implementation of a LoRa Technology - Based Smart Home Monitoring Circuit
Authors: Hussam Dheaa Kamel Al-janabi
Published: April 2024

This paper offers a detailed design and real-world execution of a complex electrical circuit for smart homes that employs LoRa technology to monitor significant environmental conditions and the operating state of home equipment. The circuit's novel design allows it to monitor power usage and the on/off state of home appliances, in addition to measuring temperature and humidity with extreme precision. With its reputation for long-range and low-power wireless communication, LoRa technology is used by the core microcontroller of the system, which also processes sensor data. This is why the system works particularly effectively in large residences where other wireless technologies would have trouble. The solution ensures consistent and dependable data transmission using LoRa, even in the face of the common architectural obstacles seen in residential environments. To facilitate data analysis and remote monitoring, an electrical circuit was made to be readily linked to a central hub for home automation. A comprehensive assessment procedure was used for implementation in different household environments to determine responsiveness, dependability, and user-centered design. The empirical findings demonstrate how well the circuit works to provide homes with practical advice on how to best regulate device use and optimize the interior temperature, which eventually improves comfort and energy efficiency. To achieve next-generation home automation systems, LoRa-based solutions are critical, and the article concludes by analyzing the consequences of this study on the future landscape of smart-house technologies.
Trends and Challenges in Realizing a Flying Car
Authors: Qusai Sulaiman Al Farsi
Published: April 2024

Since the 20th century, researchers have worked to create a new concept that combines airplanes and automotive parts. This effort has led to many prototypes, conducted feasibility studies, and examined strategic approaches. Despite many debates, flying vehicles are viewed as a promising future transportation option. This study examines the history and future of flying cars, as well as their implementation challenges and technological advances. Flying cars with STOL and VTOL capabilities are reviewed. VTOL vehicle electrification and decarbonization are thought to be the future of flying cars. Lift and Cruise, Vectored Thrust, and Multicopters were the three main VTOL thrust types examined for performance. The study evaluated promising electric and hybrid VTOLs on the market. The flying car's aerodynamics, range, endurance, and cruising speed were considered in the feasibility analysis. The data show similarities amongst flying vehicles with similar propulsion technologies.
The Influence of Information and Communication Technology (Ict) Infrastructure on the Volume of Card-Based Non-Cash Financial Transactions in Indonesia
Authors: La Fariki
Published: April 2024

This research aims to analyze the influence of Information and Communication Technology (ICT) infrastructure on the volume of card-based non-cash financial transactions in Indonesia from 2019 to 2021. This is a quantitative study. Data analysis in this research employs multiple regression with a fixed-effect model. The study utilizes panel data of longitudinal type, consisting of data on Base Transceiver Stations (BTS), Villages/Subdistricts Served by Internet, Automatic Teller Machines (ATMs), ATM/debit cards and credit cards, and non-cash financial transaction volume based on cards across 33 provinces in Indonesia as cross-sectional data, spanning a period of three (3) years from 2019 to 2021 as time-series data. Secondary data for this research were obtained from the Bank of Indonesia, the Central Bureau of Statistics, and the Financial Services Authority. The research findings conclude that Base Transceiver Stations (BTS), Villages/Subdistricts Served by Internet, Automatic Teller Machines (ATMs), ATM/debit cards, and credit cards simultaneously had a significant influence on the volume of card-based non-cash financial transactions as shown by the F-test results. While partially as shown by the result of the t-test. Base Transceiver Stations (BTS) and Villages/Subdistricts Served by Internet do not have a significant influence on the volume of card-based non-cash financial transactions. Automatic Teller Machines (ATMs) and ATM/debit cards and credit cards have a significant influence on the volume of card-based non-cash financial transactions.