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Jurnal Ilmiah Ilmu Terapan Universitas Jambi
Published by Universitas Jambi
ISSN : 25802240     EISSN : 25802259     DOI : https://doi.org/10.22437/jiituj.v6i2
Core Subject : Education, Engineering,
Education Engineering Industrial & Manufacturing Engineering
JIITUJ publish the result of research on applied science and education (Research of applied science and education) such as: the research result on applied science and education such as curriculum development and learning, character education, technology and instructional innovation, and learning evaluation. the research result on applied science and technology such as the development of applied technology and applied arts, appropriate technology, designing information systems, the research result on applied science and economic development the research result on applied science and public health. JIITUJ is a double-blind peer-reviewed journal, published three (3) times a year by Research Institutions and Community Service (LPPM), Universitas Jambi, Indonesia. JIITUJ is open to academic circles and university researchers, research institutes, librarians, graduate and postgraduate students to share information on research results.
Arjuna Subject : Kimia(semua kategori) - Kimia (Lain-Lain)
Articles 340 Documents
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EVALUATING THE IMPACT OF AI–POWERED TUTORS MATHGPT AND FLEXI 2.0 IN ENHANCING CALCULUS LEARNING Alvarez, Joel I.
Jurnal Ilmiah Ilmu Terapan Universitas Jambi Vol. 8 No. 2 (2024): Volume 8, Nomor 2, December 2024
Publisher : LPPM Universitas Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22437/jiituj.v8i2.34809

Abstract

This study evaluates the effectiveness of AI-driven technologies, Flexi 2.0 and MathGPT, in enhancing personalized learning and advanced cognitive abilities among pre-service mathematics educators participating in Calculus I. Participants were allocated to a control group receiving conventional training and an experimental group utilizing AI technology, applying a quantitative experimental design. Data were gathered utilizing validated evaluations, surveys, and interviews. The results indicated that students employing AI tutors showed significant improvements in problem-solving and personalized learning compared to the control group. Concerns arose regarding potential over-reliance on AI, underscoring the need for rigorous criteria to guarantee that students engage actively in learning rather than passively receiving AI-generated responses. The findings suggest that educators should create activities requiring students to critically evaluate AI-generated responses to promote independent thinking. The findings highlight the potential of AI in mathematics education while stressing the importance of ethical considerations and teacher oversight. It requires both students and staff training to adapt to improvements in AI inside education. The study reveals that while AI can improve learning outcomes, careful implementation is essential for its effective and responsible use in educational settings.
SENTIMENT ANALYSIS OF PUBLIC OPINION ON PRESIDENTIAL ADVISORY APPOINTMENTS USING NAIVE BAYES CLASSIFICATION Negara, Edi Surya; Syaputra, Rezki; Erlansyah, Deni; Andryani, Ria; Saksono, Prihambodo Hendro; Aditya, Ferdi; Agam, Padel Mohammad
Jurnal Ilmiah Ilmu Terapan Universitas Jambi Vol. 8 No. 2 (2024): Volume 8, Nomor 2, December 2024
Publisher : LPPM Universitas Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22437/jiituj.v8i2.35254

Abstract

Social media platforms such as Twitter, Facebook, and YouTube have become significant channels for public discourse, where users freely express opinions, including negative sentiments and hate speech. To better understand public opinion, particularly in politically charged contexts, sentiment analysis can classify user comments as either positive or negative. This study aims to analyze public sentiment regarding the formation of a special advisory team for President Jokowi, using a sentiment classification approach. The study employed a Naïve Bayes classifier to analyze sentiment from 3,000 comments gathered from Twitter, Facebook, and YouTube. The dataset was divided into 80% training data (used to train the model with known sentiment) and 20% test data. The Naïve Bayes algorithm was chosen for its simplicity and effectiveness in handling large datasets in text classification tasks. The Naive Bayes classification on sentiment analysis of public opinion regarding the appointment of presidential advisors achieved an overall accuracy of 71% in classifying the test data. Negative sentiment was classified with an accuracy of 71%, while positive sentiment was classified with an accuracy of 70%. The results demonstrate that the Naïve Bayes classifier is a viable method for sentiment analysis in political discourse, although the model's performance indicates room for improvement. The novelty of this research lies in its focus on sentiment analysis of public opinion specifically related to presidential advisory appointments, an area not yet extensively explored in sentiment analysis studies. This study contributes to the field by providing insights into the public’s perception of political decisions using machine learning techniques. The implications for future research include refining classification methods for better accuracy and applying the model to other political or governmental topics.
ESTIMATOR AND APPLIED MIXED KERNEL AND FOURIER SERIES MODELLING IN NONPARAMETRIC REGRESSION Sudiarsa, I Wayan; Mariati, Ni Putu Ayu Mirah; Sanjiwani, Ni Made Sukma
Jurnal Ilmiah Ilmu Terapan Universitas Jambi Vol. 8 No. 2 (2024): Volume 8, Nomor 2, December 2024
Publisher : LPPM Universitas Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22437/jiituj.v8i2.36246

Abstract

There are three nonparametric regression approaches, namely parametric, nonparametric, and semiparametric regression. Nonparametric regression allows the response variable to follow a different curve from one predictor variable to another. In paired data, the components of the predictor variables and response variables are assumed to follow unknown data patterns, so they can be approached with kernel-based regression models and Fourier series. The basic components are approached with kernel functions and Fourier series functions. Errors are assumed to be normally distributed with zero mean and constant variance. The originality of this research is to obtain a mixed kernel and Fourier series model estimator and then apply it to poverty data in Bali Province. The research stage method begins with a nonparametric regression model estimator based on kernel and Fourier series. The next step is to research the regression curve estimation and obtain lemmas and theorems. The results of the function estimation are highly dependent on the bandwidth, smoothing, and oscillation parameters. In the application to the case of real data, the resulting model gives an R2 value of 0.6278, meaning that the variables used can explain the model by 62.78 percent. From the modeling results obtained, the Open Unemployment Rate has a positive effect on the percentage of poor people in Bali.
THE INFLUENCE OF MANAGERIAL TEAM E-PROJECTS ON STUDENTS’ INDEPENDENT ATTITUDES Budiarti, Retni S; Harlis, Harlis; Siburian, Jodion
Jurnal Ilmiah Ilmu Terapan Universitas Jambi Vol. 8 No. 2 (2024): Volume 8, Nomor 2, December 2024
Publisher : LPPM Universitas Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22437/jiituj.v8i2.36379

Abstract

This study aims to evaluate the impact of the E-Project Managerial Team on fostering independence among Biology Education students at Universitas Jambi Faculty of Teacher Training and Education. The research investigates how managerial technology influences students' ability to manage tasks autonomously in an academic setting. Using a mixed-methods approach with an exploratory sequential design, the study combines quantitative data from questionnaires with qualitative insights. A random sampling method was applied to select participants from 143 students. Data analysis was conducted using IBM SPSS 24, employing descriptive statistics, normality, linearity, and regression tests to interpret the relationships between variables. The normality test returned a significance value of 0.614, while the linearity test showed a value of 0.482, confirming the appropriate distribution and relationships of the data. Results from the regression analysis (F value of 36.487, p = 0.001) revealed a statistically significant positive influence of the E-Project Managerial Team on students' independence. Descriptive analysis also indicated that while some students held neutral views, a considerable portion acknowledged improvements in their self-management and autonomy due to the team's involvement. This research uniquely integrates managerial technology with biology education, highlighting how digital project management tools can enhance student independence. It contributes to the growing literature on educational technology by offering innovative methods for promoting autonomy, time management, and individual skill development among students. This work provides practical insights for educators seeking to implement technological solutions to support self-directed learning.
KNOWLEDGE, PRACTICES, AND CONSTRAINTS AMONG BREASTFEEDING EMPLOYEES TOWARDS IMPLEMENTATION OF LACTATION AREA Villarama, Joseph A.; Fabros, Bench G.; Angeles, Cristina I.; Dela Cruz, Lyan Mae Micah V.; Dela Fuente, Abegail V.; Concepcion, Emily A.; Antalan, Jorri Anne Amethyst R.; Barcelita, Karen Jean C.
Jurnal Ilmiah Ilmu Terapan Universitas Jambi Vol. 8 No. 2 (2024): Volume 8, Nomor 2, December 2024
Publisher : LPPM Universitas Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22437/jiituj.v8i2.36402

Abstract

Breastfeeding empowers women and children and working mothers who revolutionize the workplace globally, specifically in carrying mutual roles as employees delivering quality service to humanity and mothers nurturing their children. This study explored the knowledge, practices, and constraints among breastfeeding working mothers in Region III, Philippines, towards implementing lactation areas. A mixed-methods approach combined a quantitative survey with a qualitative semi-structured interview component. Findings showed a high prevalence of breastfeeding among working mothers, coupled with a good level of knowledge about breastfeeding practices. However, constraints such as lack of lactation areas in offices, heavy workload, and limited support were revealed, thus foregrounding the need for institutionalized policies and guidelines to establish lactation areas in offices, promote breastfeeding, and support working mothers and their welfare, anchored on sustainable development goals (SDGs). By addressing these issues, workplaces position a more conducive environment for breastfeeding mothers, contributing to improved maternal and infant health outcomes. Further, this research provides valuable insights for policymakers, employers, and healthcare providers in initiating more effective strategies to support breastfeeding working women. Through the documented findings and by providing concrete recommendations for policy and infrastructure, this research advances the shaping of a more breastfeeding-friendly environment, promotion of maternal and infant health, supporting SDG 3-good health and well-being, and enhancement of workplace productivity towards achieving SDG 8-decent work and economic growth and SDG 5-gender equality.
A TRACER STUDY OF PHD IN EDUCATIONAL ADMINISTRATION GRADUATES: RECOMMENDATIONS TO STRENGTHEN THE PROGRAM Pentang, Jupeth T.; Bautista, Ronalyn M.; Gamozo, Mary Jane D.
Jurnal Ilmiah Ilmu Terapan Universitas Jambi Vol. 8 No. 2 (2024): Volume 8, Nomor 2, December 2024
Publisher : LPPM Universitas Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22437/jiituj.v8i2.36985

Abstract

This study aims to evaluate the effectiveness and relevance of a PhD in Educational Administration program at a State University in Western Philippines through a tracer study, offering insights into the graduates’ demographic and academic profiles, career alignment, and recommendations for improvement. The study employed a descriptive research design, collecting data from 19 non-randomly selected graduates based on availability. Data were gathered using an instrument based on guidelines from the Philippine Commission on Higher Education, with additional elements drawn from previous tracer studies. Analytical tools such as frequency counts, percentages, and arithmetic means were used to describe the findings. Results highlight that the PhD in Educational Administration program effectively serves mid-career professionals, attracting individuals from diverse backgrounds and helping them meet evolving leadership demands in educational administration. Graduates reported that the program equipped them with the necessary skills to excel in their current roles. However, they suggested several areas for improvement, including enhancing the program's accessibility and inclusivity. These recommendations are crucial to ensuring the program remains relevant, especially in preparing leaders capable of addressing modern challenges in education. This research provides new insights into the strategic role of tracer studies in shaping the future of educational leadership programs. It aligns with Sustainable Development Goal 4 (Quality Education) by proposing a continuous curriculum review, which ensures the program evolves alongside educational leadership trends. The study also underscores the importance of equipping faculty with current insights to strengthen the program's ability to prepare leaders for a dynamic educational landscape.
INSTRUCTIONAL LEADERSHIP AND TEACHER SELF-EFFICACY ON JOB SATISFACTION: THE MEDIATING EFFECT OF SCHOOL CLIMATE IN INDONESIAN ISLAMIC SENIOR HIGH SCHOOLS Ahmad Ridwan; Robi Hendra; Francisco D. Guillén-Gámez; Muhammad Fauzan; Turki Mesfer Alqhatani; Lalu Nurul Yaqin; Mohd Afifi Bahurudin Setambah
Jurnal Ilmiah Ilmu Terapan Universitas Jambi Vol. 8 No. 2 (2024): Volume 8, Nomor 2, December 2024
Publisher : LPPM Universitas Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22437/jiituj.v8i2.37023

Abstract

This study explores the impact of instructional leadership and teacher self-efficacy on job satisfaction among teachers in Indonesian Islamic Senior High Schools (Madrasah Aliyah), focusing on the mediating role of school climate. Instructional leadership plays a crucial role in shaping a positive school environment, which can enhance teacher job satisfaction by providing necessary guidance, resources, and support. A mixed-method approach was employed, with data collected from 219 teachers using validated survey instruments. The Content Validity Index (CVI) was used to ensure instrument reliability. Data analysis was conducted using Partial Least Squares Structural Equation Modeling (PLS-SEM) to assess relationships between variables and the mediating effect of school climate. The results show that instructional leadership significantly impacts both school climate and teacher job satisfaction, with path coefficient values of .463 and .818, respectively. However, school climate did not significantly mediate the relationship between instructional leadership and job satisfaction. Teacher self-efficacy, while positively influencing school climate (p < .05), did not have a substantial direct effect on job satisfaction (ß = -0.058). This research provides fresh insights into the nuanced interplay between leadership, teacher self-efficacy, and job satisfaction in the context of Islamic schools. The findings highlight school climate's indirect yet pivotal role in educational leadership dynamics. By integrating these variables, the study offers practical recommendations for improving leadership strategies and enhancing teacher well-being in faith-based educational settings.
TRANSFORMATION OF DIGITAL INNOVATION IN EDUCATION IN THE POST-COVID ERA: AN EXPLORATION CENTERED ON DRONES AND VIRTUAL REALITY Lu, Jiaxin; Dawod, Ahmad Yahya; Ying, Fangli
Jurnal Ilmiah Ilmu Terapan Universitas Jambi Vol. 8 No. 2 (2024): Volume 8, Nomor 2, December 2024
Publisher : LPPM Universitas Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22437/jiituj.v8i2.37133

Abstract

The relevance of this study is underscored by the significant shifts in traditional methods of teaching software disciplines in the post-COVID era. The widespread adoption of remote learning and integrating innovative technologies have necessitated re-evaluating educational practices. This study aims to explore the impact of modern innovative technologies on the effectiveness of education and the quality of learning in the post-COVID period. The primary method employed in this study was a survey, through which questions related to the use of drones and virtual reality (VR) technologies in the educational process were posed to students and educators. The results obtained during this study indicate a high level of acceptance by modern students and their educators of the role of drones and VR technologies in the educational environment of contemporary educational institutions. Participants in the surveys positively assessed the transformation trends of innovative technologies in the educational environment, which applies to almost all groups of students and educators without exception, regardless of their specialties. Respondents highlighted multiple positive effects of integrating drones and VR technologies into the educational space of educational institutions, including a high level of comfort when using these technical devices, improvement in the perception of educational material, and enhancement of the quality of mastering software disciplines. Both educators and students positively view the emerging prospects of practical use of drones and VR technologies in educational institutions' educational space, particularly in the post-COVID period and beyond.
THE INFLUENCE OF GENERIC SKILLS ON GENDER DIFFERENCES IN SCIENTIFIC PROCESSING AND CRITICAL THINKING IN PHYSICS MOTION DYNAMICS Darmaji, Darmaji; Astalini, Astalini; Kamid, Kamid; Triani, Elza
Jurnal Ilmiah Ilmu Terapan Universitas Jambi Vol. 8 No. 2 (2024): Volume 8, Nomor 2, December 2024
Publisher : LPPM Universitas Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22437/jiituj.v8i2.37237

Abstract

This study investigates the gender differences in generic skills, scientific process abilities, and critical thinking among high school students during physics learning, specifically within motion dynamics. The research aims to uncover the impact of generic skills on students' scientific processing and critical thinking abilities while examining how gender influences these cognitive domains. Employing a comparative quantitative research design, data were gathered from 180 students (90 male and 90 female) in Jambi City using observation sheets, test questions, and questionnaires. The sample was selected through simple random sampling, and statistical analyses were performed to examine the differences in learning outcomes between genders. Results revealed notable gender disparities in generic skills, scientific processing, and critical thinking, with male and female students demonstrating distinct proficiencies in physics learning. This underscores the necessity of adopting gender-sensitive educational approaches to foster equitable learning experiences. The uniqueness of this research lies in its detailed exploration of the interconnectedness between generic skills, scientific processing, and critical thinking within the framework of gender. Unlike prior studies, which often focus on isolated skills, this study integrates these core competencies to provide a more holistic understanding of how gender influences physics learning. The findings emphasize the need for inclusive curricula and gender-tailored instructional strategies that promote equal opportunities for all students in science education, particularly in physics, thus contributing to a more balanced and equitable academic environment.
ASSEMBLER EDU E-MODULES: IMPROVING ARGUMENTATION SKILLS, PERSEVERANCE, AND CURIOSITY IN PHYSICS LEARNING Astalini, Astalini; Darmaji, Darmaji; Kurniawan, Dwi Agus; Octavia, Sri Wina
Jurnal Ilmiah Ilmu Terapan Universitas Jambi Vol. 8 No. 2 (2024): Volume 8, Nomor 2, December 2024
Publisher : LPPM Universitas Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22437/jiituj.v8i2.37238

Abstract

This study examined the impact of Assembler Edu-based e-modules on enhancing students' argumentation skills, perseverance, and curiosity in high school physics learning. Employing a quantitative ex-post facto design, the research utilized a 4-point Likert scale questionnaire to gather data. Descriptive and inferential statistical methods, including simple linear regression, were used for analysis. The findings reveal that using Assembler Edu-based e-modules significantly positively affected students' argumentation skills, with a 42.2% influence. Moreover, student responses indicated a 47.6% improvement in perseverance, while curiosity in learning renewable energy topics increased by 47.4%. These results highlight the considerable potential of integrating digital tools like Assembler Edu into the learning environment. This study introduces an innovative approach to physics education by incorporating interactive e-modules based on the Assembler Edu platform. Unlike traditional learning materials, these e-modules foster a more dynamic and engaging learning experience, enhancing students' critical thinking, perseverance, and curiosity. The research adds a fresh dimension to the existing literature by demonstrating how digital technology in science education can significantly improve core skills necessary for 21st-century learners. The study's implications suggest that integrating Assembler Edu-based e-modules into the school curriculum can enrich students' learning experiences, promote a deeper understanding of complex topics like renewable energy, and cultivate essential skills such as argumentation and perseverance, which are vital for success in both academic and real-world contexts.

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