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The Impact of Covid-19 in The Economic Sector of Olongapo in Zambales, Philippines admin-bisnisman, admin-bisnisman; Mobo, Froilan Delute; Rahmat, Abdul; Pagal, Marijoy Samonte
Jurnal Bisnisman : Riset Bisnis dan Manajemen Vol 2 No 3 (2020): Jurnal Bisnisman : Riset Bisnis dan Manajemen
Publisher : Universitas Nusa Putra

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Abstract

Small, local business establishments situated in Olongapo, Zambales, is just one of the many provinces in northern Luzon affected by the COVID-19 crisis. There are also provinces in Zambales that were immensely affected by the COVID-19, and these have an overwhelming impact on large businesses' revenue worldwide, more so in small locally owned business establishments. Business owners are being compelled to take extreme measures to pursue operations. Thus many are apprehensive about their futures. Unemployment has become widespread while the nation's smallest businesses are at risk of bankruptcy. During the nationwide Enhanced Community Quarantine (ECQ) imposed by the Duterte administration, all establishments offering services were temporarily suspended, which led to its temporary rapid closure or, even worse, let go of their employees. For instance, establishments renting inside the Ayala Malls Harborpoint, Hotels in the Barrio Barretto, Olongapo City, and even schools in nearby Zambales were among those affected the smaller the business, the harder the blow. During the Gradual lifting of the quarantine protocols, the situation briefly changed due to the current pandemic. There is a need to rethink strategies on how to uplift the economy, particularly in the localities. An online strategy is one way to help our economy, and it must get the boost needed by implementing online businesses and selling and other online services. These would not just benefit. This will help ensure the blending of the technological platforms that may sustain our local economy. This research will present the dreary effects of COVID-19 in small businesses and study the findings in line with the survey to study and consider solutions to address them.
Team Based Project Learning Model on The MBKM Course in The Department of Nonformal Education Abdul, Rahmat; Zubaidi, Muhammad; Mirnawati, Mira; Mobo, Froilan Delute
Journal of Nonformal Education Vol 8, No 2 (2022): August: Community Education, Community Empowerment
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/jne.v8i2.34194

Abstract

The PISA ranking places Indonesia in 2019 at 74th, or the 6th bottom of the 79 countries surveyed. From this data alone, we can describe how low the cognitive abilities or intelligence of Indonesian students are. In the education curriculum, the government has designed special standards so that Indonesian students are increasingly trained in their cognitive abilities, and are increasingly able to solve problems well. Freedom to learn is an idea that gives freedom to educators and students in determining the learning system. The purpose of the declaration of independent learning is to create a meaningful education and emphasize aspects of skills and experiences in learning. The spirit brought by the concept of independent learning is the flexibility and freedom in designing and managing learning for educational actors, ranging from educational institutions, educators, to students. The main programs are: the ease of opening new study programs, changes to the accreditation system for higher lecturers, the convenience of state higher education institutions becoming state universities with legal entities, and the right to study for three semesters outside the study program. Students are given the freedom to take credits outside the study program, three semesters which are meant in the form of 1 semester of opportunity to take courses outside the study program and 2 semesters of participating in learning activities outside of higher education. Various forms of learning activities outside of tertiary institutions, including conducting internships/work practices in industry or other workplaces, implementing community service projects in villages, teaching in educational units, participating in student exchanges, conducting research, conducting entrepreneurial activities, conducting studies/ independent projects, and following humanitarian programs. All these activities must be carried out by students with guidance from the lecturer. The learning process at the Merdeka Campus is one of the most essential manifestations of student-centered learning. Learning in the Merdeka Campus provides challenges and opportunities for the development of innovation, creativity, capacity, personality, and student needs, as well as developing independence in seeking and finding knowledge through realities and field dynamics such as ability requirements, real problems, social interaction, collaboration, self-management, performance demands, targets and achievements. Through an independent learning program that is well designed and implemented, students' hard and soft skills will be formed strongly.
Classification of Spiral and Non-Spiral Galaxies using Decision Tree Analysis and Random Forest Model: A Study on the Zoo Galaxy Dataset Alfaris, Lulut; Siagian, Ruben Cornelius; Muhammad, Aldi Cahya; Nyuswantoro, Ukta Indra; Laeiq, Nazish; Mobo, Froilan Delute
Scientific Journal of Informatics Vol 10, No 2 (2023): May 2023
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/sji.v10i2.44027

Abstract

Purpose: The goal of this research is to create a precise prediction model that can differentiate between spiral and non-spiral galaxies using the Zoo galaxy dataset. Decision tree analysis and random forest models will be used to construct the model, and various conditions within the dataset will be employed to classify the data accurately. The model's performance will be evaluated using a confusion matrix, and the probability of predicting spiral galaxies will be analyzed. The research will also investigate the differences in Total Power among signal types and identify Peak Frequency and Bandwidth values consistent across all signal types. This study is expected to provide important insights into galaxy classification and signal characteristics, specifically in the fields of astronomy and astrophysics.Methods: This study utilized the decision tree analysis research method to create a predictive model for identifying spiral galaxies using the Zoo galaxy dataset. The research approach focused on analyzing data before constructing a prediction model. The study did not involve random sampling, making it an observational study. Decision tree analysis was employed to classify galaxies into homogeneous groups, and a random forest model was used to classify galaxy types. This research provides insights into how decision tree analysis can be utilized to comprehend galaxy classification and can serve as a foundation for future research. To strengthen the conclusions, combining this research with other approaches such as experiments or random sampling can be considered.Result: This study developed a predictive model for classifying galaxies based on their Spiral type using decision tree analysis on the Zoo galaxy dataset. The model divided the data into specific groups based on certain conditions, and the results demonstrated exceptional accuracy of the random forest model in categorizing galaxy types. In addition, the study investigated various signal types in galaxies and found variations in Total Power, but consistent values for Peak Frequency and Bandwidth at 2 in all signals. These findings provide valuable insights into galaxy classification and signal characteristics, which could have practical applications in communication, signal processing, and analysis. The utilization of decision tree analysis and random forest models for galaxy classification and signal analysis represents an innovative approach in this field.Novelty: The novelty of this research lies in the new approach to categorizing galaxy types using decision tree and random forest models. Previously, the approach used to categorize galaxy types was through visual methods and observations via telescopes. This new approach provides a new and potentially more efficient way of processing galaxy image data, resulting in faster and more accurate categorization. Moreover, this research contributes to the development of signal analysis applications such as Total Power, Peak Frequency, and Bandwidth, which were previously only used in the fields of astronomy and astrophysics. However, they have the potential for wider applications in the fields of communication, signal processing, and analysis beyond astronomy