globusjournal

Local delicacies represent the culture and tradition of one’s community. It can represent what the community has been through and what they stand for. Recent studies show that preserving these delicacies will continue the history, tradition, and culture; thus, it will have a continuous commitment to being a representation of what the community is. One of Bulacan’s municipalities, which is rich in cultural heritage and called the Garden City of the Philippines, can also bring good food to tourists. This study determined and analyzed the food delicacies in Guiguinto Bulacan that create an output, a coffee-table book. This helps the municipality and the community of Guiguinto to add a promotional strategy that promotes their food delicacies. The researchers had the mixed method design to determine the different local delicacies and categorized them by the interviews conducted with the Local Government Unit of Guiguinto. This study determined the level of awareness and source of information of the 210 respondents through a survey questionnaire. Frequency distribution was used to determine and mean statistical treatment was used to analyze and interpret the data. As a result, this study concluded that Guiguinteños are familiar with the different local delicacies in Guiguinto but have a minimal source for promoting them. The majority only come from word of mouth and through social media. Food Delicacies in Guiguinto have the potential to be popular with tourists and can be exported to other places to expand the promotion further.

Keywords: Coffee-Table Book, Food Delicacy, Gastronomy.

In the digital era, data has become so important. So has the responsibility to protect it from unauthorized access. Digital data certified by a reputable organization are valuable digital data that can be stored or shared on the internet. However, the problems of ensuring the anonymity of organizations on issued certificates, verifying the reliability of shared data while still ensuring the confidentiality of its content still exist. This paper presents the methods to ensure the security of data while storing and sharing. In the data-producing schema, an organization in the group generates valuable digital data from raw data sent from a data owner and then issues a certificate on the ciphertext of this digital data. In the data storing schema, the data owner uploads his/her data to the public Inter Planetary File System network and then stores the access address of the stored data and the corresponding certificate on the blockchain ledger. In the data sharing schema, everyone on the system could verify the reliability of shared data before sending a data sharing request to the data owner. The schemas of data storing and sharing and sharing guarantee security properties including confidentiality, integrity, privacy, and anonymity.

Keywords: Blockchain, Data Encryption, Data Decryption, Data Producing, IPFS, Data Storing, Data Sharing.

Electric fans are mechanical devices that move air and other gases vital to human comfort and safety in industrial processes, whereas disinfection measures are needed to limit the possible contamination of viruses like the Covid-19 Virus. The Automatic Disinfectant Fan uses a microcontroller device, sensors, and electronic components to automatically switch on the electric fan when a human presence is detected. When no human presence is detected, the fan automatically sprays disinfectant for a predetermined period. The weighted mean was used to characterize and analyze the data collected. The Automatic Disinfectant Fan was evaluated with a mean score of 4.09, which was described as “agree” in terms of functional suitability, performance efficiency, usability, reliability, and portability. The evaluation of the Automatic Disinfectant Fan’s system design and implementation showed that it had achieved its goal, and potential advancements for the system are suggested.

Keywords: Disinfectant, Automatic, Covid-19, Functional Suitability, Performance Efficiency, Microcontroller, Sensor.

There has been an upsurge in the number of cases of brain tumors in both adults and children in recent years. A brain tumor can be treated if the diagnosis and treatment are given on time. Thus, researchers and scientists are working towards developing a technique and method for identifying the type, location and size and stage of tumor. Deep learning is a branch of machine learning (ML) which has been very successful in lots of sectors, especially in the medical field because it can handle a lot of data. MRI images may now be used to diagnose brain tumors with remarkably high accuracy in terms of tumor kind and size due to deep learning and convolutional neural networks. The major goal of this study is to give a complete assessment of existing research and findings in identifying and classifying brain tumor by means of MRI scans. The study’s findings will help researchers compare previous studies to future ones, as well as give an idea of the usefulness of various deep learning (DL) and machine learning (ML) methods.

Keywords: Brain Tumor, Deep Learning, Machine Learning, Convolutional Neural Network (CNN).

Lung cancer, which has the greatest fatality rate of any cancer kind, is the most serious form of the disease. Many lives may be saved by early detection. Along with breast cancer in women and prostate cancer in men, lung cancer is the second most frequent kind of cancer. According to the International Association of Cancer Society’s (IACS) projections, there will be approximately: •131,880 lung cancer fatalities (119,100 in men and 116,660 in women) •235,760 new cases of lung cancer (69,410 in men and 62,470 in women). Due to its tiny size and placement of the glands, lung cancer is asymptomatic in its early stages on a CT scan. Symptoms only arise when the illness is at a more advanced stage. Early detection techniques like computed tomography (CT) and magnetic resonance imaging (MRI) are common medical practices that increase patient survival. Prior intelligent techniques relied on manually created feature extraction techniques like Sequential Flood Feature Selection Algorithms (SFFSA) or Genetic Algorithms (GA), which may assist in producing the best possible features. Deep learning technology has recently been applied in CAD systems to automatically extract picture characteristics, and several medical image processing tools have proven successful as a result.

Keywords: Lung Cancer, Fatality Rate, CAD Systems, Artificial Intelligence.

The prominence of Artificial Intelligence has pervaded practically every facet of modern life. Incorporated into multitudinous industries, AI has revolutionized the way businesses operate. It has helped organizations streamline operations, optimize processes, and maximize productivity from manufacturing to healthcare. In a people-oriented industry, including tourism and hospitality, AI can be perceived as favorable or disadvantageous depending on the customer’s viewpoint and set of experiences. Before this study, customers’ satisfaction with AI-powered bots had yet to be sure. Ergo, this paper aimed to determine the significant relationship between AI-powered bots and customer satisfaction in a people-oriented industry by assessing the responses of one hundred individuals in Malolos obtained in the survey questionnaire. The respondents have had interactions with AI-powered bots and were surveyed regarding the needs sufficiently provided by AI-powered bots, their poor qualities, and their impacts, benefits, and effectiveness in customer service. Using Pearson’s Correlation Coefficient, the relationship between the variables was determined, having the interpretation of a moderate positive correlation. The results of this research will be used to educate the local community and help establishments and businesses within the service industry comprehend the edge of well-equipped bots and how they can meet and satisfy the demands and expectations of customers. On top of that, the findings served as a foundation to make the Philippines’ tourism sector more globally competitive by investing in cutting-edge technology and exceptional customer service.

Keywords: Artificial Intelligence, AI-Powered Bots, Technology, Customer Satisfaction, Customer Service.

This descriptive correlational study aimed to determine employee empowerment and its relationship to organizational development and whether it contributed to the better performance of employees as a basis for organizational development among the eight commercial banks in the City of Malolos, Bulacan. The quantitative research design was utilized in profiling and characterization of the respondents and their responses, and the evaluative in testing the relationship. The results were obtained and processed using the Statistical Packages for Social Sciences (SPSS). In this study, the null hypothesis was rejected. The findings of the study were: (1) The level of participation in terms of psychological empowerment has a computed average of 4.56 and interpreted as outstanding. Meanwhile, the level of respondents’ participation in terms of structural empowerment was excellent as shown by the computed average mean of 4.53. (2) The level of relationship of employees to organizational development in terms of goal setting was excellent that was revealed by the computed mean score of 4.51. In addition, the level of relationship of employees to organizational development in terms of staff development, continuous improvement, and change management was 4.57, 4.55, and 4.49 respectively, and interpreted as outstanding. (3) The results of the test of the significant relationship of level of participation in organizational development were significant with a p-value (0.000) that was less than Cronbach’s alpha (0.01).

Keywords: Employee Empowerment, Organizational Development, Commercial Banks.

The Commission on Higher Education (CHED) included research and production as two (2) of the functions of higher education.  In its CHED Memorandum Order (CMO) Number 15 series of 2019, CHED fully integrated the research and production functions as part of the skills and competencies to be honed among the students in the Graduate Studies education; thus, the CMO required the graduate students to present a research work in local and international conferences, and later on, submit their paper for publication in peer-reviewed journal. Hence strengthening the niche as a research haven, a private Catholic university in the City of Malolos, Bulacan commenced the holding of research activities at the Graduate Studies Department during the Third Trimester of School Year 2021-2022.  The main concern of the study was the assessment of the effect of the Research and Creative Works Colloquium on the research performance of the Master’s and Doctorate students.  The researchers aimed to generate data which hoped to be the basis of a proposed enhancement on the Research and Creative Works Colloquium.  The study utilized a descriptive-correlational quantitative research approach and universal sampling.

Keywords:  Research and Creative Works, Colloquium, Research Performance, Graduate Studies.

The impact of the COVID-19 virus extends beyond the threat to physical health and basic human needs. Challenges to achieving food security arise as quarantine protocols imposed to combat the spread of the virus affect employment and mobility, exponentially affecting the urban poor. This paper explored the effects of implementing quarantine protocols due to COVID-19 on the food accessibility of the residents of one of the largest informal settlements, Sitio San Roque, utilizing a descriptive qualitative design. The study dissected the respondents’ situations on varying parameters of food accessibility such as Transportation, Proximity, and Price, where the government response to the resident’s needs was also investigated. The data gathered from the residents of SSR revealed that most residents’ food accessibility was affected by different parameters. They struggled mostly with economic access as most of the population worked in the informal sector, which was drastically suspended. Increasing prices of food commodities also hindered their economic food access, which led them to claim they had a more difficult time as even residents with continuous frontline jobs underwent a difficult time. Contrary to what has been assumed, since the community had long existed, established community markets enabled the residents to access food physically easily. Nevertheless, the findings clearly showed that even though the marginalized can strive to adapt to make ends meet, there is a significant improvement to guarantee the food accessibility of the urban poor.

Keywords: COVID-19 Pandemic, Community Quarantine, Food Accessibility, Food Security, Sitio San Roque, Urban Poor.

Since there is a prominent disconnection between the local government’s ability to encourage transparency in the information, there is a need to recalibrate the official social media platforms and websites. This research employed a quantitative content analysis on the selected component cities based on the 2021 Cities and Municipalities Competitive Index (CMCI). The data was gathered through a validated Modified Transparency Measurement Tool that was processed through the mean scores in the Level of Transparency and the Rate of Transparency. It was revealed that the Information Display on the Official Facebook page and the Provision of Services on the Website of the City Government of Naga, Antipolo, and Tagum exhibited transparency in the six (6) indicators. In terms of Information Display on the Official Website, only the City Government of Naga and Tagum displayed Transparency while Antipolo achieved an Inadequate level. Overall, the three component cities’ Information Display of the Official Facebook page and the Provision of Services of the Official Website exhibited a Transparent rate. Meanwhile, in terms of the Information Display on the Official Website, only Naga City and Tagum City manifested a Transparent rating while Antipolo City yielded a Translucent rate. This study concluded that there is a need to improve the quality of the online information disseminated by the Local Government Units.

Keywords: E-Governance, Transparency, Good Governance, Online Information Display, Provision of Services.