Journal of Applied Business and Technology

Assessing Students' Critical Thinking Skills in Terms of Cognitive Style: A Study of the Application of the Inquiry Collaborative Based V-Lab Model in Programming Courses

2024-06-23T12:40:06+00:00

This study explored the assessment of students' critical thinking skills in programming courses by considering individual cognitive styles. We apply the inquiry collaborative-based V-Lab model as a learning approach, allowing students to participate in virtual experiments and interactive simulations. This approach is applied to a programming class, taking into account the student's cognitive style as the determining factor. We use measurement methods that include solution analysis, problem-solving, and critical thinking of students. The results showed that the V-Lab model based on collaborative inquiry was effective in improving students' critical thinking skills, with variations in its effect depending on the individual's cognitive style. The implications of these findings are presented for the development of more adaptive and effective learning approaches in programming courses, as well as for further research into the interaction between cognitive styles and technology-based learning.

Implementation of Fuzzy Expert System to Detect Parkinson's Disease Based on Mobile

2024-06-23T12:40:20+00:00

Parkinson's disease is a neurodegenerative disorder characterized by classic motor symptoms, namely bradykinesia, rigidity and tremor, where this disease attacks nerve cells gradually in the midbrain part which regulates the movement of the human body. This disease is one of the most common diseases found in old age with a prevalence of around 160 per 100,000 population. Among the general public knowledge about the diseaseparkinson considered to be minimal, as a result many sufferers parkinson which is not handled properly. Therefore the authors built an application to detect and provide information on Parkinson's disease withFuzzy Expert System. This application was built based on Android mobile to make it easier for users to operate it. In this research method Fuzzy Expert System aims to find out whether the patient has Parkinson's or not based on the input value of each symptom displayed. Symptom data were obtained from experts through interviews and appropriate literature. This system begins by entering the symptoms of Parkinson's disease that have been obtained from experts into the system. Symptoms included include: Tremor/vibration, Rigidity/Rigidity, Akinesia/Bradykinesia, Autonomic Dysfunction, Gait as if about to fall. After the symptoms are entered, the system will calculate the setFuzzy, each symptom is divided into 2 (two) criteria/sets, namely: rarely, and often. After forming the setFuzzy, The system will match the rule base obtained from the expert. The results of this system detection whether the user has Parkinson's disease or not. In building the system the author uses the waterfall method, which means sequential and systematic. The database used is the MySQL database. Testing this research using the Black Box Testing method. From the research that has been done, this system has succeeded in achieving a percentage value of 70% for accuracy results based on 20 trials from respondents, there are 6 experiments that are not in accordance with expert opinion. On testingusability obtaining a percentage of 40% for very good and 60% for good, with these results showing that the expert system that has been built can run well and is easy for users to use.

Keywords: Parkinson's Disease, Detecting, Fuzzy Expert System, Mobile

Analytical Hierarchy Process (AHP) in Decision Support System for Assessing Service Performance of Puskesmas Muaro Jambi

2024-06-24T17:37:02+00:00

This research explores the use of the Analytic Hierarchy Process (AHP) as a decision-making tool for evaluating Pusat Kesehatan Masyarakat (Puskesmas) service performance. The study aims to demonstrate the effectiveness and usefulness of AHP in navigating complex decision-making processes. The AHP approach was employed to analyze collected data and assign priority levels and weights to various criteria, including health promotion, environmental health, maternal and child health (including family planning), nutrition improvement, disease prevention, treatment initiatives, and health development efforts. The system encompasses various data processing stages – from user and criteria data to value categories, sub-criteria, alternatives, and assessments. Ultimately, the system generated output in the form of ranking reports and visually presented final results. Among the Puskesmas services assessed, Puskesmas Tanjung emerged as the top performer, scoring a final value of 0.743389.

Application of Round Robin in Scheduling in Web-Based Wedding Organizers

2024-06-23T12:40:13+00:00

Wedding are cherished moments in the lives of couples. However, the complexity of wedding planning often poses challenges in arranging event schedules. To address this issue, this study aims to implement the Round Robin method for scheduling in a web-based Wedding Organizer. The Round Robin method is a scheduling algorithm that evenly allocates time for various necessary activities. In the context of a web-based Wedding Organizer, its implementation can optimize wedding activity scheduling by considering available time slots and avoiding scheduling conflicts among vendors. This research involves the development of a web-based application that employs the Round Robin method to organize the schedules of various vendors involved in weddings. The application offers convenience to couples-to-be and Wedding Organizers in viewing, organizing, and utilizing resources more effectively. With the application of the Round Robin method, it is anticipated that the operational efficiency of Wedding Organizers will improve, schedule conflicts will be mitigated, and the allocation of limited resources can be maximized. This study contributes to the advancement of a web-based Wedding Organizer scheduling.

Employee Attendance System Using Rapid Application Development Method Based on Location Based Service

2024-10-06T18:08:32+00:00

Employee attendance is the main benchmark in assessing employee performance and discipline, as well as providing important data for company management. The use of information technology, such as computers, has helped companies make decisions effectively. However, some companies face obstacles in the employee attendance process, especially in manual or finger print situations, and absence management. By utilizing GPS technology or similar LBS technology to detect employee presence. In this context, mobile technology, especially smartphones, has an important role in providing fast and accurate access to information. The RAD method is used in making application prototypes with repeated iterations, enabling fast development and efficient improvements. The aim of this research is to apply the LBS method to support absenteeism. This application allows employees to take attendance on time via their smartphones, with attendance data directly stored in the company's servers and databases. In addition, the Global Positioning System (GPS) feature allows tracking the location of employees who are on external service. It is hoped that the results of this research can help companies minimize the problem of employee absenteeism, increase the efficiency of work processes, and provide faster and more accurate access to information. The RAD and LBS methods have proven their effectiveness in overcoming absenteeism problems and speeding up work flow. Apart from that, this research also underlines the importance of employee discipline in achieving company goals.

An Exploration of the Relationship between Leadership, Motivation, Environment, and Performance in Small and Medium Food Distribution Enterprises

2024-08-21T16:31:42+00:00

This study aims to determine how much influence leadership, work motivation, and environment have on employee performance at UD. Citra Pekanbaru. The sampling technique used a saturated sample, with the sample taken in the study in the form of all employees at UD. Citra Pekanbaru as many as 42 people, the data taken using the Questionnaire (questionnaire) method. The data analysis technique used is multiple linear regression analysis where the independent variable consists of leadership, work motivation, and environment, and the dependent variable is employee performance. The results showed that partial leadership (X1) had a significant effect on employee performance, work motivation (X2) had a positive and significant effect on employee performance and the environment (X3) had a significant effect on employee performance.

Balancing Offshore Renewable Energy and Marine Conservation in the Blue Economy

2024-09-24T15:40:47+00:00

The Blue Economy represents a sustainable approach to harnessing ocean resources for economic growth while preserving marine ecosystems. This study explores the intersection of offshore renewable energy development, particularly wind and tidal energy, and marine conservation. It highlights the significance of adopting innovative technologies, such as floating wind turbines, and emphasizes the role of Marine Spatial Planning (MSP) and Ecological Modernization Theory (EMT) in balancing economic activities with environmental protection. Using qualitative research methods, including semi-structured interviews with stakeholders from renewable energy companies, conservation NGOs, policymakers, and local fishing communities, this study reveals key themes related to policy gaps, innovative solutions, and the necessity of stakeholder collaboration. Findings indicate that existing regulatory frameworks often inadequately address ecological impacts, creating inconsistencies between energy development and conservation efforts. However, advancements in technology and collaborative approaches show promise for minimizing environmental disruption. The research underscores the need for stronger regulatory frameworks that integrate marine conservation into energy development plans. It advocates for community involvement in decision-making processes and the adoption of eco-friendly technologies. By aligning regulatory practices with sustainable development principles, the study presents a pathway toward achieving a balanced Blue Economy, ensuring both economic prosperity and the health of marine ecosystems for future generations. Future research areas are identified to further enhance understanding of the long-term impacts and effective management strategies in this critical field.

Advancing Digital and Technology Literacy through Qualitative Studies to Bridging the Skills Gap in the Digital Age

2024-09-27T08:34:00+00:00

The digital age has transformed the way individuals live, work, and interact, with innovations like artificial intelligence, cloud computing, and the Internet of Things (IoT) reshaping industries and societies. This study examines the key obstacles to improving digital and technology literacy and proposes strategies to bridge this gap. The research focuses on developing economies, where socio-economic, infrastructural, and educational barriers exacerbate the digital divide. Employing a qualitative literature review, the study analyzes peer-reviewed articles, reports, and case studies to identify the main challenges and successful interventions in promoting digital literacy. The novelty of this research lies in its contextual focus on developing economies, its multi-sectoral approach involving public and private collaboration, and its emphasis on tailored, lifelong learning programs. By integrating case studies and a thematic analysis of current initiatives, this study provides actionable recommendations for advancing digital and technology literacy, enabling individuals and organizations to fully participate in an increasingly digital world. Advancing digital and technology literacy is vital for closing the skills gap in today’s digital age. Despite numerous initiatives, challenges such as limited access, resistance to change, and inadequate educational programs persist. Holistic, multi-sectoral approaches are necessary to create meaningful improvements in literacy rates, contributing to social mobility and economic development. Future studies could use a quantitative approach to measure the impact of specific interventions on digital literacy. Longitudinal research could track the effectiveness of ongoing programs in different socioeconomic settings.