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2021

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Designing Effective Online Courses: Exploring The Relationships Amongst Online Teaching Self-Efficacy, Professional Development, Online Teaching Experience, And Reported Implementation Of Effective Higher Education Online Course Design Practices, Elizabeth Mcmahon Dec 2021

Designing Effective Online Courses: Exploring The Relationships Amongst Online Teaching Self-Efficacy, Professional Development, Online Teaching Experience, And Reported Implementation Of Effective Higher Education Online Course Design Practices, Elizabeth Mcmahon

The Interactive Journal of Global Leadership and Learning

How best to prepare and support higher education faculty to design and teach effective online courses is a topic of great significance to higher education institutional leaders and faculty developers. This study explored how hours of professional development along with online teaching and learning experiences were related to online teaching self-efficacy and the extent to which participants reported implementation of effective online course design practices. Using a non-experimental quantitative correlational explanatory research study design, data were collected using a questionnaire. Participants included 104 online faculty from a large public higher education system located in the upper Midwest that includes both …


Self-Evaluation Of Educational Leadership Practices During Covid-19, Mike Coquyt Dec 2021

Self-Evaluation Of Educational Leadership Practices During Covid-19, Mike Coquyt

The Interactive Journal of Global Leadership and Learning

Due to the COVID-19 pandemic, school districts, and specifically, superintendents, are under increased pressure to lead. Irregularity and ambiguity are now the mantras of those tasked with leading in our schools. Many current research studies aim to evaluate the possible effects of COVID-19 on the system of education (Azorín, 2020; Hargreaves & Fullan, 2020), and advice on how to lead during a crisis (Harris & Jones, 2020; Leithwood et al., 2020, Netolicky, 2020). There are no standards or benchmarks to follow that could potentially aid school leaders as they navigate, lead, and make important decisions that affect how quality instruction …


Factors That Affect The Rate Of Preterm Birth: An Examination Of The Inter-Related Impacts Of Social Determinants, Behavior And Physical Health Status, Krystal Michelle Hunter Dec 2021

Factors That Affect The Rate Of Preterm Birth: An Examination Of The Inter-Related Impacts Of Social Determinants, Behavior And Physical Health Status, Krystal Michelle Hunter

Dissertations

The work seeks to examine the factors that have significant relationships to the rate of preterm birth (PTB) along with its cost to society.

There are four papers within this work. This purpose of the first paper is to measure the impact that healthy behaviors have on the rate of PTB when modeled with other factors like household demographics, community deprivation, chronic disease and mental health. This work finds that positive health behaviors has a negative relationship with PTB. The interaction between body mass index (BMI) and social class and its relationship to PTB is examined in the second paper. …


Exposing And Fixing Causes Of Inconsistency And Nondeterminism In Clustering Implementations, Xin Yin Dec 2021

Exposing And Fixing Causes Of Inconsistency And Nondeterminism In Clustering Implementations, Xin Yin

Dissertations

Cluster analysis aka Clustering is used in myriad applications, including high-stakes domains, by millions of users. Clustering users should be able to assume that clustering implementations are correct, reliable, and for a given algorithm, interchangeable. Based on observations in a wide-range of real-world clustering implementations, this dissertation challenges the aforementioned assumptions.

This dissertation introduces an approach named SmokeOut that uses differential clustering to show that clustering implementations suffer from nondeterminism and inconsistency: on a given input dataset and using a given clustering algorithm, clustering outcomes and accuracy vary widely between (1) successive runs of the same toolkit, i.e., nondeterminism, and …


Crash Injury Severity Prediction With Artificial Neural Networks, Rima Abisaad Dec 2021

Crash Injury Severity Prediction With Artificial Neural Networks, Rima Abisaad

Dissertations

Motor vehicle crashes are one of our nation's most serious social, economic and health issues. They are the leading cause of death among children and young adults, killing approximately 1.35 million people each year. Providing a safe and efficient transportation system is the primary goal of transportation engineering and planning. To help reduce traffic fatalities and injuries on roadways, crash prediction models are used to forecast the injury severity of potential crashes and apply precautionary countermeasures accordingly. Most of these models are reactive as they use historical crash data to categorize crash-related factors. Recently, advancements have been made in developing …


Model Checks For Two-Sample Location-Scale, Atefeh Javidialsaadi Dec 2021

Model Checks For Two-Sample Location-Scale, Atefeh Javidialsaadi

Dissertations

Two-sample location-scale refers to a model that permits a pair of standardized random variables to have a common distribution. This means that if X1 and X2 are two random variables with means µ1 and µ2 and standard deviations ?1 and ?2, then (X1 - µ1)/?1 and (X2 - µ2)/?2 have some common unspecified standard or base distribution F0. Function-based hypothesis testing for these models refers to formal tests that would help determine whether or not two samples may have come from some location-scale …


Statistics-Based Anomaly Detection And Correction Method For Amazon Customer Reviews, Ishani Chatterjee Dec 2021

Statistics-Based Anomaly Detection And Correction Method For Amazon Customer Reviews, Ishani Chatterjee

Dissertations

People nowadays use the Internet to project their assessments, impressions, ideas, and observations about various subjects or products on numerous social networking sites. These sites serve as a great source of gathering information for data analytics, sentiment analysis, natural language processing, etc. The most critical challenge is interpreting this data and capturing the sentiment behind these expressions. Sentiment analysis is analyzing, processing, concluding, and inferencing subjective texts with the views. Companies use sentiment analysis to understand public opinions, perform market research, analyze brand reputation, recognize customer experiences, and study social media influence. According to the different needs for aspect granularity, …


Machine Learning Techniques For Network Analysis, Irfan Lateef Dec 2021

Machine Learning Techniques For Network Analysis, Irfan Lateef

Dissertations

The network's size and the traffic on it are both increasing exponentially, making it difficult to look at its behavior holistically and address challenges by looking at link level behavior. It is possible that there are casual relationships between links of a network that are not directly connected and which may not be obvious to observe. The goal of this dissertation is to study and characterize the behavior of the entire network by using eigensubspace based techniques and apply them to network traffic engineering applications.

A new method that uses the joint time-frequency interpretation of eigensubspace representation for network statistics …


Private And Federated Deep Learning: System, Theory, And Applications For Social Good, Han Hu Dec 2021

Private And Federated Deep Learning: System, Theory, And Applications For Social Good, Han Hu

Dissertations

During the past decade, drug abuse continues to accelerate towards becoming the most severe public health problem in the United States. The ability to detect drug­abuse risk behavior at a population scale, such as among the population of Twitter users, can help to monitor the trend of drug­abuse incidents. However, traditional methods do not effectively detect drug­abuse risk behavior in tweets, mainly due to the sparsity of such tweets and the noisy nature of tweets. In the first part of this dissertation work, the task of classifying tweets as containing drug­abuse risk behavior or not, is studied. Millions of public …


A Vacuum-Driven Distillation Technology Of Aqueous Solutions And Mixtures, Guo Guangyu Dec 2021

A Vacuum-Driven Distillation Technology Of Aqueous Solutions And Mixtures, Guo Guangyu

Dissertations

Distillation of aqueous solutions and aqueous mixtures has vast industrial applications, including desalination, wastewater treatment, and fruit juice concentration. Currently, two major distillation technologies are adopted in the industry, membrane separation and thermal distillation. However, both of them face certain inevitable drawbacks. Membrane separation has disadvantages as relying on high-grade energy, requiring membrane, fouling problem, narrow treatment range, limited scalability, and vibrating and noisy operating conditions. Traditional thermal distillation technologies can avoid above concerns but has other shortcomings, such as relatively low energy efficiency and yield rate, complicated and bulky system structure, and scaling problem.

This project proposes an innovative …


A Practical Approach To Automated Software Correctness Enhancement, Aleksandr Zakharchenko Dec 2021

A Practical Approach To Automated Software Correctness Enhancement, Aleksandr Zakharchenko

Dissertations

To repair an incorrect program does not mean to make it correct; it only means to make it more-correct, in some sense, than it is. In the absence of a concept of relative correctness, i.e. the property of a program to be more-correct than another with respect to a specification, the discipline of program repair has resorted to various approximations of absolute (traditional) correctness, with varying degrees of success. This shortcoming is concealed by the fact that most program repair tools are tested on basic cases, whence making them absolutely correct is not clearly distinguishable from making them relatively more-correct. …


Parameter Estimation And Inference Of Spatial Autoregressive Model By Stochastic Gradient Descent, Gan Luan Dec 2021

Parameter Estimation And Inference Of Spatial Autoregressive Model By Stochastic Gradient Descent, Gan Luan

Dissertations

Stochastic gradient descent (SGD) is a popular iterative method for model parameter estimation in large-scale data and online learning settings since it goes through the data in only one pass. While SGD has been well studied for independent data, its application to spatially-correlated data largely remains unexplored. This dissertation develops SGD-based parameter estimation and statistical inference algorithms for the spatial autoregressive (SAR) model, a common model for spatial lattice data.

This research contains three parts. (I) The first part concerns SGD estimation and inference for the SAR mean regression model. A new SGD algorithm based on maximum likelihood estimator (MLE) …


Developing An E-Module Of Making Edmodo-Based Hosanna Moda System Bustier To Improve Learning Independence And Learning Achievement, Lestari Rochmatun Choirunnisya', Putu Sudira Dec 2021

Developing An E-Module Of Making Edmodo-Based Hosanna Moda System Bustier To Improve Learning Independence And Learning Achievement, Lestari Rochmatun Choirunnisya', Putu Sudira

Jurnal Pendidikan Vokasi

This study aims to: 1.) Develop an Edmodo-based e-module for making Hosanna Moda system bustier to increase independence and achievement in learning custom-made clothing; 2.) Describe the feasibility of the developed e-module; and 3.) Reveal the effectiveness of the developed e-module in increasing student learning independence and learning achievement. This research is development research, which was carried out on grade XII students of Fashion, State Vocational High School 3 Magelang. The product trial consisted of a validity test by three experts, a small-scale trial involving 12 students, a large-scale trial involving 24 students, and an effectiveness test involving one control …


Development Of Air Conditioner Split R32 Trainer Learning Media In Cooling And Air Conditioning Engineering Courses, Fitria Wahyu Ningsih, Ilham Akbar Darmawan, Mohammad Fatkhurrokhman Dec 2021

Development Of Air Conditioner Split R32 Trainer Learning Media In Cooling And Air Conditioning Engineering Courses, Fitria Wahyu Ningsih, Ilham Akbar Darmawan, Mohammad Fatkhurrokhman

Jurnal Pendidikan Vokasi

This study aims to develop learning media for AC Split R32 in the subject of refrigeration and air conditioning engineering. The method used Research and Development (R&D), the model of research used is Successive Approximation Models 1 (SAM). The model goes through iteration 1 (Evaluate 1, Design 1, Develop 1), iteration 2 (Evaluate 2, Design 2, Develop 2), and iteration 3 (Evaluate 3, and product implementation). The data collection method uses instruments in the form of observations, interviews, literature studies, and questionnaires that use a Likert scale for measurement the instrument. Based on the research analysis results, media trainers get …


Transformation Of Health Communication Literacy In The Pandemic Era, K. Y.S. Putri, Deddy Mulyana, S Bekti Istiyanto, Linda Zakiah, Rayni Delya Hafni Dec 2021

Transformation Of Health Communication Literacy In The Pandemic Era, K. Y.S. Putri, Deddy Mulyana, S Bekti Istiyanto, Linda Zakiah, Rayni Delya Hafni

Informasi

Indonesian public health communication literacy is the education center for the government and related institutions. The formulation of this research problem is how to model health communication literacy in communities in tourism areas in Indonesia. The research objective was to determine the health communication literacy model in the community in tourism areas in Indonesia. The concept used in this research is new media literacy and health communication and audience attitudes. Several previous studies support this research. The method used is quantitative by distributing questionnaires to respondents. The result of the research is that health communication literacy on social media in …


Evaluation Of The Implementation Of Interactive Video-Based Online Learning In Practical Courses Using The Cipp Model, Sudaryono Sudaryono Dec 2021

Evaluation Of The Implementation Of Interactive Video-Based Online Learning In Practical Courses Using The Cipp Model, Sudaryono Sudaryono

Jurnal Penelitian dan Evaluasi Pendidikan

This study aims to examine the evaluation of the implementation of interactive video-based online learning for the 2020/2021 academic year at Raharja University, Tangerang City, Banten. The research design uses a quantitative approach. Techniques Data collection is done through questionnaires, interviews, and documentation studies. The item instrument validation was carried out using the validity and reliability test of the data with consistent results (0.880>0.60). The study involved 103 participants employing a descriptive data analysis technique using the CIPP evaluation model. The findings show that the average score for all aspects is 80.55%, in the very good category. First, the …


View Or Download The Full Issue Dec 2021

View Or Download The Full Issue

Jurnal Pendidikan Vokasi

No abstract provided.


Developing Self And Peer Assessment To Improve Student's Appreciative Critical Ability In Learning Drama Appreciation, Khafidatur Rohmah, Endah Tri Priyatni, Heri Suwignyo Dec 2021

Developing Self And Peer Assessment To Improve Student's Appreciative Critical Ability In Learning Drama Appreciation, Khafidatur Rohmah, Endah Tri Priyatni, Heri Suwignyo

Jurnal Penelitian dan Evaluasi Pendidikan

This study aims to develop self and peer assessment instruments to improve students' critical and appreciative abilities in learning drama appreciation. This research was conducted by following the ADDIE model development steps: needs analysis, product design, product development, product implementation, and product evaluation. There are two types of data in this study: qualitative data and quantitative data. Quali-tative data are in the form of suggestions and comments from assessment experts, literature experts, and drama appreciation learning experts, as well as students, while quantitative data are in the form of scores obtained from assessment experts, literature experts, and drama appreciation learning …


Validity Of Critical Thinking Skills Instrument On Prospective Mathematics Teachers, Ayu Faradillah, Sabila Adlina Dec 2021

Validity Of Critical Thinking Skills Instrument On Prospective Mathematics Teachers, Ayu Faradillah, Sabila Adlina

Jurnal Penelitian dan Evaluasi Pendidikan

This study aims to describe the process of validity of critical thinking skills on prospective mathematics teachers. This research used a quantitative approach with a survey method. Data were collected from 245 prospective mathematics teachers from 19 Mathematics education study programs at 19 higher education institutions in Indonesia. The data were collected using a questionnaire given via Google Form and analyzed by the Rasch Model analysis using Winstep software and Confirmatory Factor Analysis (CFA) using JASP. The results show that the instrument of critical thinking skills with indicators such as open-mindedness, inquisitiveness, systematicity, truth-seeking, analyticity, and self-confidence is valid and …


Evaluating The Learning Goal Attainment In Nihongo Noryoku Shiken N5 Course, Ai Sumirah Setiawati, Wagiran Wagiran, Subyantoro Subyantoro Dec 2021

Evaluating The Learning Goal Attainment In Nihongo Noryoku Shiken N5 Course, Ai Sumirah Setiawati, Wagiran Wagiran, Subyantoro Subyantoro

Jurnal Penelitian dan Evaluasi Pendidikan

The objective of the study is to evaluate the learning implementation of the Nihongo Noryoku Shiken N5 course as a new course offered in the 2020 curriculum at the Japanese Language Education Study Program in UNNES. A goal-oriented evaluation model by Tyler was employed in the evaluation process to measure how far the learning goals that have been determined at the beginning of the lecture are achieved. This evaluative research relied on a quantitative descriptive approach; its steps comprised (1) data collection, (2) data processing and analysis, and (3) recommendation formulation. According to the evaluation results, the learning goals of …


Analysis Of Students' Thinking Process In Solving Arithmetic Sequence Based On Adversity Quotient Types, Muhamad Sabirin, Saidah Arafah, M. Amin Paris, Muh. Fajaruddin Atsnan, Maisea Ledua Nareki Dec 2021

Analysis Of Students' Thinking Process In Solving Arithmetic Sequence Based On Adversity Quotient Types, Muhamad Sabirin, Saidah Arafah, M. Amin Paris, Muh. Fajaruddin Atsnan, Maisea Ledua Nareki

PYTHAGORAS : Jurnal Matematika dan Pendidikan Matematika

This descriptive qualitative study aimed at describing students' thinking process in solving arithmetic sequence problems based on students' adversity quotient (AQ). Two students who have camper type of AQ and two students who have transition from camper to climber type of AQ were involved in this study. We employed a questionnaire to identify the type of AQ that students have, a test to collect data on students' problem-solving process, and an interview guideline to clarify students' thinking process in problem-solving. The collected data were analyzed by following a process consisting of data reduction, data presentation, and drawing conclusions or verification. …


Youtube Vlog Channels In Basic Mathematics As E-Learning During The Covid-19 Pandemic, Vera Dewi Susanti, Ika Krisdiana, Wasilatul Murtafiah, Reza Kusuma Setyansah, Titin Masfingatin Dec 2021

Youtube Vlog Channels In Basic Mathematics As E-Learning During The Covid-19 Pandemic, Vera Dewi Susanti, Ika Krisdiana, Wasilatul Murtafiah, Reza Kusuma Setyansah, Titin Masfingatin

PYTHAGORAS : Jurnal Matematika dan Pendidikan Matematika

This research aimed to produce YouTube vlog channels that are valid, practical, and effective to be used in facilitating e-learning in a basic mathematics course. The method used in this research is Research and Development (R&D), which consists of four stages, namely define, design, develop, and disseminate. The subjects in this study were 62 third-semester students of the Mathematics Education Study Program at PGRI University of Madiun, Indonesia, where 50 students were field test subjects and 12 students were limited test subjects. The instruments used in this research were a validation sheet, a student response questionnaire, and a student learning …


Kemampuan Higher Order Thinking Skills Dalam Pembelajaran Metakognitif Ditinjau Dari Persepsi Siswa, Gustaf Carel, Nia Jusniani, Erma Monariska Dec 2021

Kemampuan Higher Order Thinking Skills Dalam Pembelajaran Metakognitif Ditinjau Dari Persepsi Siswa, Gustaf Carel, Nia Jusniani, Erma Monariska

PYTHAGORAS : Jurnal Matematika dan Pendidikan Matematika

Penelitian ini bertujuan untuk mengetahui (1) perbedaan kemampuan HOTS siswa yang memperoleh pembelajaran metakognitif dengan kemampuan HOTS siswa yang memperoleh pembelajaran konvensional; (2) perbedaan kemampuan HOTS antara siswa yang memperoleh pembelajaran metakognitif dan siswa yang memperoleh pembelajaran konvensional jika dilihat dari tingkat persepsi siswa (tinggi, sedang, rendah); dan (3) pengaruh interaksi antara strategi pembelajaran dengan tingkat persepsi siswa pada pembelajaran matematika terhadap kemampuan HOTS siswa. Teknik analisis data menggunakan ANOVA dua jalan pada taraf signifikansi 5%. Metode penelitian yang digunakan adalah kuasi eksperimen dengan desain penelitian Nonequivalent group pretest-posttest design. Instrumen yang digunakan berupa tes dan non-tes, instrumen jenis tes …


Implikasi Model Pembelajaran Problem Based Learning Terhadap Kecerdasan Logika Matematika, Amin Mustajab, Puji Rahmawati Dec 2021

Implikasi Model Pembelajaran Problem Based Learning Terhadap Kecerdasan Logika Matematika, Amin Mustajab, Puji Rahmawati

PYTHAGORAS : Jurnal Matematika dan Pendidikan Matematika

Tujuan dari penelitian ini melihat dampak dari penggunaan model pembelajaran problem based learning terhadap kecerdasan logika matematika. Penelitian ini merupakan penelitian kuantitatif dengan desain one group Pre-test dan post-test. Populasi penelitian ini siswa kelas XI di salah satu SMK di Kabupaten Sanggau, Indonesia, sampel penelitian ini berjumlah 15 orang siswa kelas XI Akutansi. Instrumen penelitian ini terdiri dari 5 soal uraian kecerdasan logika matematika tentang materi negasi, konjungsi, disjugsi, implikasi dan biimplikasi. Hasil uji normalitas data menggunakan uji statistik Kolmogorov Smirnov menunjukan bahwa data pre-test dan post-test tidak berdistribusi normal. Rerata skor kecerdasan logika sebelum mengikuti pembelajaran menggunakan model problem …


Teaching Factory Management During The Covid-19 Pandemic, Yozi Vidiastuti, Nurtanio Agus Purwanto Dec 2021

Teaching Factory Management During The Covid-19 Pandemic, Yozi Vidiastuti, Nurtanio Agus Purwanto

Jurnal Pendidikan Vokasi

This research aims to determine how the teaching factory at SMK SMTI Yogyakarta handled during Covid-19 pandemic. A descriptive qualitative case study approach was used as the method. Semi-structured interview techniques, observation, and documentation were used to collect data. The interviewed data was collected from 3 informants. This study used triangulation techniques to check the validity of the data. The triangulation technique in this study used source triangulation, which compares the interview results of 3 informants to check the compatibility of the information obtained, then analyzed using an interactive model from Milles and Huberman. The implementation of the teaching factory …


Electric-Field-Driven Processes In Multiphase Fluid Systems, Qian Lei Dec 2021

Electric-Field-Driven Processes In Multiphase Fluid Systems, Qian Lei

Dissertations

Advantages of using electric fields in miniaturized apparatuses for a wide range of applications are revealed by numerous experimental and theoretical studies over the last several decades as it offers a simple and efficient method for manipulation of multiphase fluid systems. This approach is considered to be especially beneficial for control of boiling processes and colloidal suspensions considered in the presented work.

Boiling. Today's trends for enhancing boiling heat transfer in terrestrial and space applications focus on removal of bubbles to prevent formation of a vapor layer over the surface at a high overheat. In contrast, this dissertation presents a …


Machine Learning And Computer Vision In Solar Physics, Haodi Jiang Dec 2021

Machine Learning And Computer Vision In Solar Physics, Haodi Jiang

Dissertations

In the recent decades, the difficult task of understanding and predicting violent solar eruptions and their terrestrial impacts has become a strategic national priority, as it affects the life of human beings, including communication, transportation, the power grid, national defense, space travel, and more. This dissertation explores new machine learning and computer vision techniques to tackle this difficult task. Specifically, the dissertation addresses four interrelated problems in solar physics: magnetic flux tracking, fibril tracing, Stokes inversion and vector magnetogram generation.

First, the dissertation presents a new deep learning method, named SolarUnet, to identify and track solar magnetic flux elements in …


The Model Of Voter Education Of Women-Based Democracy Volunteers, Hambali Hambali, Hariyanti Hariyanti, Ahmad Eddison Dec 2021

The Model Of Voter Education Of Women-Based Democracy Volunteers, Hambali Hambali, Hariyanti Hariyanti, Ahmad Eddison

Jurnal Civics: Media Kajian Kewarganegaraan

This study aimed at describing the model of voter education of women-based democracy volunteers in Pekanbaru City and Dumai City. Democracy volunteers are partners in the General Election Commission, who deliver electoral information to the public. The voter education model consists of the strategies used, the material delivered, the methods used to provide knowledge, raise awareness, and increase women voters' political participation. This research employed a qualitative approach with descriptive methods"”the informants in this research selected through a non-probability sampling method with a purposive sampling technique. The data validity testing technique used triangulation of data sources. The research findings show …


Realizing Multiculturalism And Social Integration In Banuroja Community, Wahyudin Noe, Novia Wahyu Wardhani, Sitirahia Hi Umar, Rasid Yunus Dec 2021

Realizing Multiculturalism And Social Integration In Banuroja Community, Wahyudin Noe, Novia Wahyu Wardhani, Sitirahia Hi Umar, Rasid Yunus

Jurnal Civics: Media Kajian Kewarganegaraan

There have been many studies concerning Banuroja; however, there is always something novelty in creating a role model for village-based character education where the aim is to create a multicultural society into a multicultural community. This study examines community activities related to the national character values that embody multiculturalism and social integration in the Banuroja community. The method was qualitative with an ethnographic approach. Data were obtained from observations, interviews, and documentation carried out during 2019-2020. The validity of the data used triangulation, member checks, prolonged time, and peer debriefing. While the data analysis technique used ethnographic data analysis, namely …


Readiness Of Fashion Education And Training Institutions Management In Facing The Industrial Revolution 4.0 And Society 5.0, Miftahul Annisah Nurfitria, Widihastuti Widihastuti, Nur Kholifah, Sayidatul Maslahah Dec 2021

Readiness Of Fashion Education And Training Institutions Management In Facing The Industrial Revolution 4.0 And Society 5.0, Miftahul Annisah Nurfitria, Widihastuti Widihastuti, Nur Kholifah, Sayidatul Maslahah

Jurnal Pendidikan Vokasi

This study aims to determine how the management of education and fashion training institutions is prepared to face the industrial revolution 4.0 and society 5.0. This research is a case study research by examining field conditions. The data collection method is triangulation with observation, interviews, and documentation. The data of this study were obtained from the head of the institution, instructors, and course students. Technique triangulation and source triangulation were carried out to check the validity of the data. The research was conducted at the Yogyakarta Career Busana course and training institute. The research results based on the principles of …