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Yogi Tri Prasetyo
School of Industrial Engineering and Engineering Management, Mapua University, 658 Muralla St., Intramuros, Manila 1002, Philippines

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Short Biography

Dr.Yogi Tri Prasetyo is currently an Associate Professor in the School of Industrial Engineering and Engineering Management, Mapúa University, Philippines. He received a Bachelor of Engineering in Industrial Engineering from Universitas Indonesia (2013) with a GPA higher than 3.50/4.00. He also studied for one year (2011-2012) at Waseda University, Japan, during his junior year as an undergraduate exchange student. He received an MBA (2015) and a Ph.D. (2019) at the age of 27 from the Department of Industrial Management National Taiwan University of Science and Technology (NTUST), with a concentration in human factors and ergonomics. He was awarded as NTUST Outstanding Youth with a perfect GPA of 4.00/4.00. He has a wide range of research interests including human-computer interaction particularly related to eye movement, color optimization of military camouflage, strategic product design, usability analysis, and now he is currently doing accident analysis and disaster risk reduction. He published several SCI/SSCI-indexed journals such as in International Journal of Infectious Diseases, International Journal of Disaster Risk Reduction, Foods (mdpi), Sustainability (mdpi), Healthcare (mdpi), Displays, Color Research and Application, Journal of Eye Movement Research, several Scopus-indexed journals, and conference proceedings with numerous best presentation awards.

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Journal article
Published: 27 August 2021 in Healthcare
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Icons have been widely utilized to describe and promote COVID-19 prevention measures. The purpose of this study was to analyze the preference and subjective design features of 133 existing icons associated with COVID-19 prevention measures published by the health and medical organizations of different countries. The 133 icons represent nineteen different function names, such as “Wash Hands” and “Wear Face Mask”. A total of 57 participants were recruited to perform two different tests: ranking test and subjective rating test. The ranking test was conducted to elicit the preference ranking of seven icon designs representing each function name. It was followed by a subjective rating test using 13 semantic scales on the two most preferred icons to analyze their perceived quality. Spearmen correlation was applied to derive the possible correlations between users’ rankings and the semantic scales, and Friedman’s test was also performed to determine the true difference between ranking in terms of each semantic scale to provide a fully meaningful interpretation of the data. Generally, findings from the current study showed that the image presented in the icon is the key point that affects the icons’ perceived quality. Interestingly, Spearman’s correlation analysis between preference ranking and semantic scales showed that vague–clear, weak–strong, incompatible–compatible, and ineffective–effective were the four strongest semantic scales that highly correlated with the preference ranking. Considering the significant relationships between the semantic distances and the functions, images depicted in an icon should be realistic and as close as possible to its respected function to cater to users’ preferences. In addition, the results of Spearman’s correlation and Friedman’s test also inferred that compatibility and clarity of icon elements are the main factors determining a particular icon’s preferability. This study is the first comprehensive study to evaluate the icons associated with the COVID-19 prevention measures. The findings of this study can be utilized as the basis for redesigning icons, particularly for icons related to COVID-19 prevention measures. Furthermore, the approach can also be applied and extended for evaluating other medical icons.

ACS Style

Yogi Tri Prasetyo; Ratna Sari Dewi; Naiomi M. Balatbat; Michael Lancelot B. Antonio; Thanatorn Chuenyindee; Anak Agung Ngurah Perwira Redi; Michael Nayat Young; John Francis T. Diaz; Yoshiki B. Kurata. The Evaluation of Preference and Perceived Quality of Health Communication Icons Associated with COVID-19 Prevention Measures. Healthcare 2021, 9, 1115 .

AMA Style

Yogi Tri Prasetyo, Ratna Sari Dewi, Naiomi M. Balatbat, Michael Lancelot B. Antonio, Thanatorn Chuenyindee, Anak Agung Ngurah Perwira Redi, Michael Nayat Young, John Francis T. Diaz, Yoshiki B. Kurata. The Evaluation of Preference and Perceived Quality of Health Communication Icons Associated with COVID-19 Prevention Measures. Healthcare. 2021; 9 (9):1115.

Chicago/Turabian Style

Yogi Tri Prasetyo; Ratna Sari Dewi; Naiomi M. Balatbat; Michael Lancelot B. Antonio; Thanatorn Chuenyindee; Anak Agung Ngurah Perwira Redi; Michael Nayat Young; John Francis T. Diaz; Yoshiki B. Kurata. 2021. "The Evaluation of Preference and Perceived Quality of Health Communication Icons Associated with COVID-19 Prevention Measures." Healthcare 9, no. 9: 1115.

Journal article
Published: 27 July 2021 in Sustainability
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Online meeting platforms have been widely utilized during the COVID-19 pandemic due to the current shift from traditional learning. However, the acceptance of the different online meeting platforms for e-learning has been underexplored. The purpose of this study was to determine the factors for acceptance of an online learning platform among students during the COVID-19 pandemic. A total of 500 senior high school students voluntarily participated to answer constructs under the Extended Technology Acceptance Model (ETAM) and Delone and McLean IS Success Model. Several latent including user interface (UI), perceived ease of use (PEU), perceived usefulness (PU), information quality (IQ), system quality (SQ), behavioral intentions (BI), and actual use were analyzed by Structural Equation Modeling (SEM). The results indicated that PEU was found to have the greatest on actual use (AU), followed by UI and SQ towards PEU, which subsequently led to BI and AU. Finally, IQ was found to have a significant effect on PU, which led to BI and AU. The level of student acceptability considers the ease of use, user interface, system quality, information quality, leading to a positive behavioral intention for actual use. With that, it would be of best interest to consider the factors that would lead students towards accepting the platforms utilized and therefore the current education system. Moreover, this will lead to their acceptance and promote learning even with the COVID-19 pandemic. Finally, the model construct can be applied and utilized to analyze the online learning platforms in other countries.

ACS Style

Yogi Prasetyo; Ardvin Ong; Giero Concepcion; Francheska Navata; Raphael Robles; Isaiash Tomagos; Michael Young; John Diaz; Reny Nadlifatin; Anak Redi. Determining Factors Affecting Acceptance of E-Learning Platforms during the COVID-19 Pandemic: Integrating Extended Technology Acceptance Model and DeLone & McLean IS Success Model. Sustainability 2021, 13, 8365 .

AMA Style

Yogi Prasetyo, Ardvin Ong, Giero Concepcion, Francheska Navata, Raphael Robles, Isaiash Tomagos, Michael Young, John Diaz, Reny Nadlifatin, Anak Redi. Determining Factors Affecting Acceptance of E-Learning Platforms during the COVID-19 Pandemic: Integrating Extended Technology Acceptance Model and DeLone & McLean IS Success Model. Sustainability. 2021; 13 (15):8365.

Chicago/Turabian Style

Yogi Prasetyo; Ardvin Ong; Giero Concepcion; Francheska Navata; Raphael Robles; Isaiash Tomagos; Michael Young; John Diaz; Reny Nadlifatin; Anak Redi. 2021. "Determining Factors Affecting Acceptance of E-Learning Platforms during the COVID-19 Pandemic: Integrating Extended Technology Acceptance Model and DeLone & McLean IS Success Model." Sustainability 13, no. 15: 8365.

Journal article
Published: 26 July 2021 in Sustainability
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The decline of enrollees for industrial engineering during the COVID-19 pandemic and the increasing demand for professional industrial engineers should be explored. The purpose of this study was to determine the preference of industrial engineering students of different educational levels on online learning during the COVID-19 pandemic. Specifically, this study utilized conjoint analysis with orthogonal design considering seven attributes: delivery type, layout, term style, final requirements, Coursera requirements, seatwork and practice sets, and platforms. Among the attributes, 20 stimuli were created through SPSS and were answered voluntarily by 126 respondents utilizing a 7-point Likert Scale. The respondents were comprised of 79 undergraduate, 30 fully online master’s degree, and 17 master’s and doctorate degree students collected through purposive sampling. One university from the two available universities that offer all educational levels of IE in the Philippines was considered. The results showed that undergraduate students considered the final requirements with multiple-choice as the highest preference, followed by non-modular term style, and no seatwork and practice sets. In addition, fully online master’s degree students considered delivery type with the mix as the highest preference, followed by layout, and no seatwork and practice sets. Finally, master’s and doctorate degree students considered final requirements with publication as the highest preference, followed by no seatwork and practice sets, and mix delivery type. The students are technologically inclined, want to learn at their own pace, know where and how to get additional online learning materials, but still need the guidance of teachers/professors. The results would help contribute to the theoretical foundation for further students’ preference segmentation, specifically on online learning during the COVID-19 pandemic worldwide. Moreover, the design created could be utilized for other courses in measuring students’ preference for online learning even after the COVID-19 pandemic.

ACS Style

Ardvin Ong; Yogi Prasetyo; Michael Young; John Diaz; Thanatorn Chuenyindee; Poonyawat Kusonwattana; Nattakit Yuduang; Reny Nadlifatin; Anak Redi. Students’ Preference Analysis on Online Learning Attributes in Industrial Engineering Education during the COVID-19 Pandemic: A Conjoint Analysis Approach for Sustainable Industrial Engineers. Sustainability 2021, 13, 8339 .

AMA Style

Ardvin Ong, Yogi Prasetyo, Michael Young, John Diaz, Thanatorn Chuenyindee, Poonyawat Kusonwattana, Nattakit Yuduang, Reny Nadlifatin, Anak Redi. Students’ Preference Analysis on Online Learning Attributes in Industrial Engineering Education during the COVID-19 Pandemic: A Conjoint Analysis Approach for Sustainable Industrial Engineers. Sustainability. 2021; 13 (15):8339.

Chicago/Turabian Style

Ardvin Ong; Yogi Prasetyo; Michael Young; John Diaz; Thanatorn Chuenyindee; Poonyawat Kusonwattana; Nattakit Yuduang; Reny Nadlifatin; Anak Redi. 2021. "Students’ Preference Analysis on Online Learning Attributes in Industrial Engineering Education during the COVID-19 Pandemic: A Conjoint Analysis Approach for Sustainable Industrial Engineers." Sustainability 13, no. 15: 8339.

Journal article
Published: 17 July 2021 in International Journal of Disaster Risk Reduction
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The Taal Volcano eruption was one of the most severe disasters in the Philippines in 2020. The purpose of this study was to determine factors affecting response action of the 2020 Taal Volcano eruption among Filipinos in Luzon, Philippines. Several factors including asset damage, eruption characteristics, disaster experience, socio-demographic characteristics, evacuation characteristics, and perceived severity were analyzed simultaneously by utilizing a structural equation modelling (SEM) approach. A total of 501 respondents were collected from Filipinos who lived in Batangas (411 respondents), Manila (82 respondents), and Pampanga (8 respondents). SEM showed that asset damage had the highest effect on perceived severity (β: 0.68; p=0.001), followed by eruption characteristics (β: 0.49; p=0.001) and evacuation characteristics (β: 0.25; p=0.012) while disaster experience and socio-demographic characteristics had no significant effects on perceived severity. This study is the first study that analyzes the perceived severity of the 2020 Taal Volcano eruption. The findings would be very beneficial for researchers and policymakers to reduce the perceived severity of the eruption. Finally, the SEM construct can be applied and extended to determine factors affecting perceived severity of volcanic eruptions in other countries.

ACS Style

Yogi Tri Prasetyo; Yoshiki B. Kurata; Antoinnette R. Acosta; Angeline Patricia Fae B. Aben; Satria Fadil Persada; Reny Nadlifatin; Anak Agung Ngurah Perwira Redi. Factors affecting response actions of the 2020 Taal Volcano eruption among Filipinos in Luzon, Philippines: A structural equation modeling approach. International Journal of Disaster Risk Reduction 2021, 63, 102454 .

AMA Style

Yogi Tri Prasetyo, Yoshiki B. Kurata, Antoinnette R. Acosta, Angeline Patricia Fae B. Aben, Satria Fadil Persada, Reny Nadlifatin, Anak Agung Ngurah Perwira Redi. Factors affecting response actions of the 2020 Taal Volcano eruption among Filipinos in Luzon, Philippines: A structural equation modeling approach. International Journal of Disaster Risk Reduction. 2021; 63 ():102454.

Chicago/Turabian Style

Yogi Tri Prasetyo; Yoshiki B. Kurata; Antoinnette R. Acosta; Angeline Patricia Fae B. Aben; Satria Fadil Persada; Reny Nadlifatin; Anak Agung Ngurah Perwira Redi. 2021. "Factors affecting response actions of the 2020 Taal Volcano eruption among Filipinos in Luzon, Philippines: A structural equation modeling approach." International Journal of Disaster Risk Reduction 63, no. : 102454.

Journal article
Published: 16 July 2021 in International Journal of Disaster Risk Reduction
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The lack of studies on Filipinos preparedness in natural calamities such as earthquakes, specifically “The Big One”, posed the necessity for researchers to assess the preparedness and disaster mitigation. This study aimed to assess the driving factors that significantly influence the intention to prepare among Filipinos for mitigation of The Big One earthquake. With the integration of Protection Motivation Theory and Extended Theory of Planned Behavior, the study considered 727 valid responses to measure the intention to prepare. Eight latent were measured namely: (1) perceived vulnerability, (2) perceived severity, (3) subjective norm, (4) perceived behavioral control, (5) attitude, (6) media, (7) understanding of The Big One, and (8) intention to prepare. By utilizing Structural Equation Modelling, it is found out that Media, Attitude, Perceived Severity and Subjective Norm are all key factors affecting the intention of the people to prepare for the Big One. Moreover, it was also found out that the Understanding of the Big One has an indirect effect on the intention to prepare. The findings of the study can be utilized by the government to make Filipinos for conducting preparedness and mitigation practices. Finally, the model construct of the study could also be utilized to evaluate other types of natural disasters worldwide.

ACS Style

Ardvin Kester S. Ong; Yogi Tri Prasetyo; Fae Coleen Lagura; Rochelle Nicole Ramos; Keenan Mark Sigua; Jomy Anne Villas; Michael Nayat Young; John Francis T. Diaz; Satria Fadil Persada; Anak Agung Ngurah Perwira Redi. Factors affecting intention to prepare for mitigation of “the big one” earthquake in the Philippines: Integrating protection motivation theory and extended theory of planned behavior. International Journal of Disaster Risk Reduction 2021, 63, 102467 .

AMA Style

Ardvin Kester S. Ong, Yogi Tri Prasetyo, Fae Coleen Lagura, Rochelle Nicole Ramos, Keenan Mark Sigua, Jomy Anne Villas, Michael Nayat Young, John Francis T. Diaz, Satria Fadil Persada, Anak Agung Ngurah Perwira Redi. Factors affecting intention to prepare for mitigation of “the big one” earthquake in the Philippines: Integrating protection motivation theory and extended theory of planned behavior. International Journal of Disaster Risk Reduction. 2021; 63 ():102467.

Chicago/Turabian Style

Ardvin Kester S. Ong; Yogi Tri Prasetyo; Fae Coleen Lagura; Rochelle Nicole Ramos; Keenan Mark Sigua; Jomy Anne Villas; Michael Nayat Young; John Francis T. Diaz; Satria Fadil Persada; Anak Agung Ngurah Perwira Redi. 2021. "Factors affecting intention to prepare for mitigation of “the big one” earthquake in the Philippines: Integrating protection motivation theory and extended theory of planned behavior." International Journal of Disaster Risk Reduction 63, no. : 102467.

Journal article
Published: 22 June 2021 in Healthcare
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ELearning has been the medium of delivery of medical educational institutions to address the scarcity of medical professionals during the COVID-19 pandemic. In this study, the Unified Theory of Acceptance and Use of Technology (UTAUT2) was extended to determine the factors affecting the acceptance of eLearning platforms to medical education in the Philippines during the COVID-19 pandemic. A total of 360 medical students voluntary participated and answered an online questionnaire that consisted of 40 questions. Structural Equation Modeling (SEM) indicated that performance expectancy was found to have the highest effect on behavioral intention, which was followed by learning value and instructor characteristics. A high behavioral intention was found to affect the actual use of eLearning platforms. Interestingly, social influence and habit were found not to be significant to behavioral intentions. This study is the first study that has explored the acceptance of eLearning platforms among medical students in the Philippines during the COVID-19 pandemic. The findings can be a theoretical guideline of the Commission on Higher Education of the Philippines for eLearning platforms. Finally, the framework would be very valuable for enhancing the open innovation in eLearning platforms in medical fields worldwide.

ACS Style

Yogi Prasetyo; Ralph Roque; Thanatorn Chuenyindee; Michael Young; John Diaz; Satria Persada; Bobby Miraja; Anak Perwira Redi. Determining Factors Affecting the Acceptance of Medical Education eLearning Platforms during the COVID-19 Pandemic in the Philippines: UTAUT2 Approach. Healthcare 2021, 9, 780 .

AMA Style

Yogi Prasetyo, Ralph Roque, Thanatorn Chuenyindee, Michael Young, John Diaz, Satria Persada, Bobby Miraja, Anak Perwira Redi. Determining Factors Affecting the Acceptance of Medical Education eLearning Platforms during the COVID-19 Pandemic in the Philippines: UTAUT2 Approach. Healthcare. 2021; 9 (7):780.

Chicago/Turabian Style

Yogi Prasetyo; Ralph Roque; Thanatorn Chuenyindee; Michael Young; John Diaz; Satria Persada; Bobby Miraja; Anak Perwira Redi. 2021. "Determining Factors Affecting the Acceptance of Medical Education eLearning Platforms during the COVID-19 Pandemic in the Philippines: UTAUT2 Approach." Healthcare 9, no. 7: 780.

Journal article
Published: 15 June 2021 in Foods
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Milk tea is a famous drink that has been heavily consumed since 2011. This study aimed to determine the combination of milk tea attributes that were most preferred using a Conjoint Analysis Approach. Specifically, this study utilized different attributes such as the size of tapioca pearls, sugar level, price range, brands, type of milk tea, cream cheese inclusion, and the amount of ice. Conjoint analysis with the orthogonal design was utilized to evaluate the preference of milk tea among consumers. The results showed that pearl size was the attribute most considered by consumers (29.137%), followed by sugar level (17.373%), the amount of ice (17.190%), the type of drink (13.421%), price (11.207%), and the least considered were cream cheese inclusion (9.525%) and the brands (2.147%). The findings of this study will be beneficial to milk tea firms about consumer preferences regarding the various attributes of milk tea. Finally, the result of this study could be applicable to different beverage-focused studies worldwide.

ACS Style

Ardvin Ong; Yogi Prasetyo; Ma. Libiran; Yuanne Lontoc; Joyce Lunaria; Adelaine Manalo; Bobby Miraja; Michael Young; Thanatorn Chuenyindee; Satria Persada; Anak Perwira Redi. Consumer Preference Analysis on Attributes of Milk Tea: A Conjoint Analysis Approach. Foods 2021, 10, 1382 .

AMA Style

Ardvin Ong, Yogi Prasetyo, Ma. Libiran, Yuanne Lontoc, Joyce Lunaria, Adelaine Manalo, Bobby Miraja, Michael Young, Thanatorn Chuenyindee, Satria Persada, Anak Perwira Redi. Consumer Preference Analysis on Attributes of Milk Tea: A Conjoint Analysis Approach. Foods. 2021; 10 (6):1382.

Chicago/Turabian Style

Ardvin Ong; Yogi Prasetyo; Ma. Libiran; Yuanne Lontoc; Joyce Lunaria; Adelaine Manalo; Bobby Miraja; Michael Young; Thanatorn Chuenyindee; Satria Persada; Anak Perwira Redi. 2021. "Consumer Preference Analysis on Attributes of Milk Tea: A Conjoint Analysis Approach." Foods 10, no. 6: 1382.

Conference paper
Published: 13 June 2021 in Proceedings of International Conference on Big Data, Machine Learning and Applications
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The purpose of this study was to help companies to design a better management trainee program using macroergonomics-based approach. The study used observation and focus group discussion to gather data and assess the management trainee program of a company in the utilities industry in order to propose a new job design for management trainees that might boost employee retention and satisfaction among the program graduates even after program graduation. Through qualitative data gathering, this study identified which factors play an important role in keeping management trainees engaged and motivated. With a successful management trainee program, companies might be able to attract high-caliber graduates and train them into becoming future leaders in a more effective and efficient way. The study found that in order to improve the management trainee program, the company should focus on training for individual holistic development, job rotation within the critical functions, mentorship and feedback for continuous improvement, ownership and responsibility, performance evaluation, job enrichment, and job enlargement.

ACS Style

Yogi Tri Prasetyo; Johnamae Khow. Macroergonomics-Based Approach for a Management Trainee Program in the Utilities Industry. Proceedings of International Conference on Big Data, Machine Learning and Applications 2021, 820 -826.

AMA Style

Yogi Tri Prasetyo, Johnamae Khow. Macroergonomics-Based Approach for a Management Trainee Program in the Utilities Industry. Proceedings of International Conference on Big Data, Machine Learning and Applications. 2021; ():820-826.

Chicago/Turabian Style

Yogi Tri Prasetyo; Johnamae Khow. 2021. "Macroergonomics-Based Approach for a Management Trainee Program in the Utilities Industry." Proceedings of International Conference on Big Data, Machine Learning and Applications , no. : 820-826.

Journal article
Published: 27 May 2021 in Foods
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The drive-through fast-food industry has been one of the fastest businesses growing over the past decades in developing countries, including the Philippines. The purpose of this study was to evaluate factors influencing costumers’ repurchase intention in a drive-through fast food in the Philippines by utilizing the structural equation modeling (SEM) approach. A total of 305 Filipinos answered the online questionnaire, which contained 38 questions. The results of SEM indicated that subjective appetite (SA) was found to have a significant direct effect on menu options (MO). Consequently, MO was found to have significant direct effects on imagery elaboration (IE), vividness (VV), and convenience (CO), and an indirect effect on order accuracy (OA). Finally, SA, MO, IE, VV, OA, and CO were found to have significant effects on satisfaction (S), which subsequently led to loyalty (L) and repurchase intention (RI). Interestingly, MO was found to have the highest indirect effect on RI, indicating that MO is an important consideration for RI. This is the first comprehensive study evaluating drive-through fast food in the Philippines. The causal relationships of the present study can be applied and extended to evaluate the repurchase intention of drive-through fast food in other countries.

ACS Style

Yogi Prasetyo; Allysa Castillo; Louie Salonga; John Sia; Thanatorn Chuenyindee; Michael Young; Satria Persada; Bobby Miraja; Anak Redi. Factors Influencing Repurchase Intention in Drive-Through Fast Food: A Structural Equation Modeling Approach. Foods 2021, 10, 1205 .

AMA Style

Yogi Prasetyo, Allysa Castillo, Louie Salonga, John Sia, Thanatorn Chuenyindee, Michael Young, Satria Persada, Bobby Miraja, Anak Redi. Factors Influencing Repurchase Intention in Drive-Through Fast Food: A Structural Equation Modeling Approach. Foods. 2021; 10 (6):1205.

Chicago/Turabian Style

Yogi Prasetyo; Allysa Castillo; Louie Salonga; John Sia; Thanatorn Chuenyindee; Michael Young; Satria Persada; Bobby Miraja; Anak Redi. 2021. "Factors Influencing Repurchase Intention in Drive-Through Fast Food: A Structural Equation Modeling Approach." Foods 10, no. 6: 1205.

Conference paper
Published: 18 May 2021 in Proceedings of the 21st Congress of the International Ergonomics Association (IEA 2021)
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This study identifies the musculoskeletal symptoms of agricultural workers, specifically lettuce farmers. Data was collected in a lettuce farm in Cavite, Philippines, questionnaire, and direct observation was used. There are 50 participants in the study, including twenty-two greenhouse workers, eleven soil mixing workers, nine nursery workers, and eight fermentation workers. Prevalence of musculoskeletal symptoms in the shoulder (80%), lower back (70%), neck (64%), and hand/wrist (73%) is high for all occupation groups. 92% of the participants were reported to have work interference due to musculoskeletal symptoms. The severity of musculoskeletal symptoms was typical for the lower back, upper back, shoulder, and neck. The overall mean of the farmer’s Rapid Upper Limb Assessment (RULA) score was 6.4, which corresponds to RULA action level 3, highlighting that the current working posture of farmers must have a further investigation or needed change soon. Association between socio- demographic results and musculoskeletal symptoms are identified using logistic regression analyses.

ACS Style

Yogi Tri Prasetyo; Reginald Lance E. Dones. Musculoskeletal Symptoms and Postural Analysis of Lettuce Farmers. Proceedings of the 21st Congress of the International Ergonomics Association (IEA 2021) 2021, 241 -249.

AMA Style

Yogi Tri Prasetyo, Reginald Lance E. Dones. Musculoskeletal Symptoms and Postural Analysis of Lettuce Farmers. Proceedings of the 21st Congress of the International Ergonomics Association (IEA 2021). 2021; ():241-249.

Chicago/Turabian Style

Yogi Tri Prasetyo; Reginald Lance E. Dones. 2021. "Musculoskeletal Symptoms and Postural Analysis of Lettuce Farmers." Proceedings of the 21st Congress of the International Ergonomics Association (IEA 2021) , no. : 241-249.

Conference paper
Published: 05 May 2021 in Proceedings of International Conference on Big Data, Machine Learning and Applications
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3D TV is a new platform to enjoy the stereoscopic environment in the home and eye tracking technology has been extensively utilized to evaluate the 3D TV. This study was mainly intended to explore an additional eye movement parameter that can predict the eye gaze accuracy and symptoms while perceiving the image in the 3D TV. A total of 12 graduate students were asked to perform tapping task in the 2D and 3D TV using within-subject design under 6 different levels of index of difficulty (ID). Structural equation modeling (SEM) was applied to analyze the causal relationship between 2D/3D environment, a new eye movement parameter, eye gaze accuracy, and symptoms. The result showed that error rate was found as a significant mediator of the relationships. In addition, the SEM approach was also found as a new significant and reliable approach in the visual ergonomics particularly for bridging the objective and subjective measures. Finally, the new eye movement parameter can be an important key for predicting eye gaze accuracy in the stereoscopic display.

ACS Style

Yogi Tri Prasetyo; Retno Widyaningrum. Error Rate as Mediators of the Relationships Among 2D/3D TV Environment, Eye Gaze Accuracy, and Symptoms. Proceedings of International Conference on Big Data, Machine Learning and Applications 2021, 756 -761.

AMA Style

Yogi Tri Prasetyo, Retno Widyaningrum. Error Rate as Mediators of the Relationships Among 2D/3D TV Environment, Eye Gaze Accuracy, and Symptoms. Proceedings of International Conference on Big Data, Machine Learning and Applications. 2021; ():756-761.

Chicago/Turabian Style

Yogi Tri Prasetyo; Retno Widyaningrum. 2021. "Error Rate as Mediators of the Relationships Among 2D/3D TV Environment, Eye Gaze Accuracy, and Symptoms." Proceedings of International Conference on Big Data, Machine Learning and Applications , no. : 756-761.

Conference paper
Published: 01 May 2021 in Proceedings of International Conference on Big Data, Machine Learning and Applications
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In the occurrence of natural calamities and accidents, emergency safety symbol is an implicit comparison to proper usage of equipment and appropriate action to follow. The study aims to investigate the relationships and significant differences among demographic factors, comprehension scores, type of identification responses, and cognitive design features that are all associated to emergency symbols. A total of 236 participants accomplished the entire questionnaire. Comprehensibility design of 15 emergency symbols were investigated through demographic factors (age, gender, and educational attainment), type of identification responses (correct, partially correct, incorrect, and opposite meaning), and cognitive design features (familiarity, simplicity, spatial recognition, and semantic closeness). The study incorporated descriptive statistics, Pearson correlation analysis, ANOVA, and Tukey Post-Hoc test. Symbols 3, 13, and 15 passed ≥ 85% comprehensibility requirement of American National Standards Institute (ANSI). Symbols 2, 3, and 5–11 were classified as critically confusing with greater than 5% “opposite meaning” value. Symbol 3 (93.73%) was the most familiar signage while symbol 5 (62.71%) was the least familiar signage. The simplest sign was symbol 3 (95.51%) and symbol 9 (73.9%) was the most complex. Symbol 3 (93.22%) had the highest value of spatial recognition while symbol 9 (74.15%) had the lowest percentage. Highest semantic closeness was acquired by symbol 15 (92.46%) and the least percentage was obtained by symbol 14 (72.63%). Comprehension scores were significant and positively correlated to familiarity (0.62), semantic closeness (0.61), spatial recognition (0.60), and simplicity (0.52). Gender and educational attainment were significant to comprehension scores. Statistical analysis utilized in the study provided interrelationship between the identified factors relative to comprehensibility of emergency safety symbols.

ACS Style

Maela Madel L. Cahigas; Yogi Tri Prasetyo. Matching-Based Comprehension of Emergency Safety Symbols Among Filipinos: User-Centered Quality Measure. Proceedings of International Conference on Big Data, Machine Learning and Applications 2021, 384 -392.

AMA Style

Maela Madel L. Cahigas, Yogi Tri Prasetyo. Matching-Based Comprehension of Emergency Safety Symbols Among Filipinos: User-Centered Quality Measure. Proceedings of International Conference on Big Data, Machine Learning and Applications. 2021; ():384-392.

Chicago/Turabian Style

Maela Madel L. Cahigas; Yogi Tri Prasetyo. 2021. "Matching-Based Comprehension of Emergency Safety Symbols Among Filipinos: User-Centered Quality Measure." Proceedings of International Conference on Big Data, Machine Learning and Applications , no. : 384-392.

Journal article
Published: 21 April 2021 in Journal of Open Innovation: Technology, Market, and Complexity
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Assessment of service quality has been widely utilized in after-sales service, especially in the automotive industry. The purpose of the study was to determine factors affecting customer satisfaction in an automotive after-sales service at Toyota Dasmarinas-Cavite Philippines by utilizing the SERVQUAL approach. Several SERVQUAL dimensions such as tangibles, reliability, responsiveness, assurance, and empathy were analyzed simultaneously to the customer satisfaction. Structural equation modeling (SEM) indicated that among the five SERVQUAL dimensions, reliability and empathy were found to have significant relationships to the satisfaction of customers at Toyota Dasmarinas-Cavite Philippines. Interestingly, tangibles, responsiveness, and assurance were found to have no significant relationships to satisfaction. The servicing dealer must deliver a high quality of service to meet customer expectations and achieve high customer satisfaction, which subsequently builds customer trust towards the company. With these, customer retention and loyalty can be attained by the company that can also increase the company’s profit and competitive advantage.

ACS Style

Justine Balinado; Yogi Prasetyo; Michael Young; Satria Persada; Bobby Miraja; Anak Perwira Redi. The Effect of Service Quality on Customer Satisfaction in an Automotive After-Sales Service. Journal of Open Innovation: Technology, Market, and Complexity 2021, 7, 116 .

AMA Style

Justine Balinado, Yogi Prasetyo, Michael Young, Satria Persada, Bobby Miraja, Anak Perwira Redi. The Effect of Service Quality on Customer Satisfaction in an Automotive After-Sales Service. Journal of Open Innovation: Technology, Market, and Complexity. 2021; 7 (2):116.

Chicago/Turabian Style

Justine Balinado; Yogi Prasetyo; Michael Young; Satria Persada; Bobby Miraja; Anak Perwira Redi. 2021. "The Effect of Service Quality on Customer Satisfaction in an Automotive After-Sales Service." Journal of Open Innovation: Technology, Market, and Complexity 7, no. 2: 116.

Journal article
Published: 26 February 2021 in Journal of Open Innovation: Technology, Market, and Complexity
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Online food delivery service (OFDS) has been widely utilized during the new normal of the COVID-19 pandemic, especially in a developing country such as Indonesia. The purpose of this study was to determine factors influencing customer satisfaction and loyalty in OFDS during the new normal of the COVID-19 pandemic in Indonesia by utilizing the extended theory of planned behavior (TPB) approach. A total of 253 respondents voluntarily participated and answered 65 questions. Structural equation modeling (SEM) indicated that hedonic motivation (HM) was found to have the highest effect on customer satisfaction, followed by price (P), information quality (IQ), and promotion (PRO). Interestingly, this study found out that usability factors, such as navigational design (ND) and perceived ease of use (PEOU) were not significant to customer satisfaction and loyalty in OFDS during the new normal of COVID-19. This study can be the theoretical foundation that could be very beneficial for OFDS investors, IT engineers, and even academicians. Finally, this study can be applied and extended to determine factors influencing customer satisfaction and loyalty in OFDS during the new normal of COVID-19 in other countries.

ACS Style

Yogi Prasetyo; Hans Tanto; Martinus Mariyanto; Christopher Hanjaya; Michael Young; Satria Persada; Bobby Miraja; Anak Redi. Factors Affecting Customer Satisfaction and Loyalty in Online Food Delivery Service during the COVID-19 Pandemic: Its Relation with Open Innovation. Journal of Open Innovation: Technology, Market, and Complexity 2021, 7, 76 .

AMA Style

Yogi Prasetyo, Hans Tanto, Martinus Mariyanto, Christopher Hanjaya, Michael Young, Satria Persada, Bobby Miraja, Anak Redi. Factors Affecting Customer Satisfaction and Loyalty in Online Food Delivery Service during the COVID-19 Pandemic: Its Relation with Open Innovation. Journal of Open Innovation: Technology, Market, and Complexity. 2021; 7 (1):76.

Chicago/Turabian Style

Yogi Prasetyo; Hans Tanto; Martinus Mariyanto; Christopher Hanjaya; Michael Young; Satria Persada; Bobby Miraja; Anak Redi. 2021. "Factors Affecting Customer Satisfaction and Loyalty in Online Food Delivery Service during the COVID-19 Pandemic: Its Relation with Open Innovation." Journal of Open Innovation: Technology, Market, and Complexity 7, no. 1: 76.

Conference paper
Published: 01 February 2021 in IOP Conference Series: Materials Science and Engineering
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Eye-hand movements are two important parameters to evaluate the User Experience (UX) in the stereoscopic display (3D). The current study utilized structural equation modeling (SEM) to derive the causal relationship between parallax, index of difficulty (ID), eye movement, hand movement, eye index performance (IP eye), and hand index performance (IP hand) simultaneously. 10 participants voluntarily participated in the current study and they were asked to perform a multi-directional Fitts' Law task in the projection-based stereoscopic display. The results indicated that parallax had significant effects on eye movement time and hand movement time. In addition, ID was found to have significant effects on eye movement time and hand movement time. Interestingly, parallax and ID were found to have significant effects on IP eye, however, no significant effects were found on IP hand. These findings could be very beneficial for UX researchers and projection-based stereoscopic display developers especially in terms of evaluating UX of an interface.

ACS Style

Y T Prasetyo; R Widyaningrum. Eye-hand movement in 3D displays: A structural equation modeling approach. IOP Conference Series: Materials Science and Engineering 2021, 1072, 012059 .

AMA Style

Y T Prasetyo, R Widyaningrum. Eye-hand movement in 3D displays: A structural equation modeling approach. IOP Conference Series: Materials Science and Engineering. 2021; 1072 (1):012059.

Chicago/Turabian Style

Y T Prasetyo; R Widyaningrum. 2021. "Eye-hand movement in 3D displays: A structural equation modeling approach." IOP Conference Series: Materials Science and Engineering 1072, no. 1: 012059.

Conference paper
Published: 08 January 2021 in Advances in Intelligent Systems and Computing
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Hand grip strength is a fundamental part of human factors and ergonomics. The main objective of the study was to predict Filipino teenagers’ hand grip strength by utilizing stepwise multiple linear regression. A total of 200 data were collected from Mapúa Senior High School students. Stepwise multiple linear regression indicated that gender was found to have the most significant effect on the hand grip strength, followed by wrist circumference, arm circumference, and hand dominance. In addition, there was no significant difference between student grade 11 and 12. This study is the first study that explored the hand grip strength among Filipino teenagers and it would be very beneficial for human factor engineers, medical doctors, even hand therapists. Finally, the proposed stepwise multiple linear regression approach could be applied and extended in analyzing the hand grip strength in other countries.

ACS Style

Yogi Tri Prasetyo; Rod Vincent L. Cortes; Franklin S. Bautista; Kenneth C. E. Piguing; Aaron Josh A. Bermudez; Charlotte N. Monteiro. Predicting Hand Grip Strength of Filipino Teenagers Aged 15–18 Using Stepwise Multiple Linear Regression. Advances in Intelligent Systems and Computing 2021, 170 -177.

AMA Style

Yogi Tri Prasetyo, Rod Vincent L. Cortes, Franklin S. Bautista, Kenneth C. E. Piguing, Aaron Josh A. Bermudez, Charlotte N. Monteiro. Predicting Hand Grip Strength of Filipino Teenagers Aged 15–18 Using Stepwise Multiple Linear Regression. Advances in Intelligent Systems and Computing. 2021; ():170-177.

Chicago/Turabian Style

Yogi Tri Prasetyo; Rod Vincent L. Cortes; Franklin S. Bautista; Kenneth C. E. Piguing; Aaron Josh A. Bermudez; Charlotte N. Monteiro. 2021. "Predicting Hand Grip Strength of Filipino Teenagers Aged 15–18 Using Stepwise Multiple Linear Regression." Advances in Intelligent Systems and Computing , no. : 170-177.

Conference paper
Published: 08 January 2021 in Advances in Intelligent Systems and Computing
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3D TV has been a trending topic in visual ergonomics over the decade. It is a new platform to enhance the perceived quality in the home-based environment and eye tracker has been extensively utilized to evaluate the eye gaze accuracy and symptoms. The purpose of this study was to explore the new eye movement measures that can be significant predictors for eye gaze accuracy and symptoms in 3D TV. 12 participants were voluntary recruited to perform multidirectional Fitts’ Law task in 2D and 3D TV using within-subject design under 6 levels of index of difficulty (ID). Eye ballistic phase time and eye correction phase time were calculated and explored as new eye movement measures that can predict eye gaze accuracy and symptoms. Structural Equation Modeling (SEM) indicated that eye ballistic phase time was found to be the best predictor for symptoms while eye correction phase time was found to be the best predictor for eye gaze accuracy. This study is one of the first studies that utilized SEM to evaluate the causal relationships between eye movement measures, eye gaze accuracy, and symptoms simultaneously. The derived SEM would be very beneficial for visual ergonomics researchers, virtual reality developers, and even electrical engineers.

ACS Style

Yogi Tri Prasetyo; Retno Widyaningrum. Eye Ballistic Phase Time and Eye Correction Phase Time as Mediators of the Relationships Among 2D/3D TV Environment, Eye Gaze Accuracy, and Symptoms. Advances in Intelligent Systems and Computing 2021, 399 -408.

AMA Style

Yogi Tri Prasetyo, Retno Widyaningrum. Eye Ballistic Phase Time and Eye Correction Phase Time as Mediators of the Relationships Among 2D/3D TV Environment, Eye Gaze Accuracy, and Symptoms. Advances in Intelligent Systems and Computing. 2021; ():399-408.

Chicago/Turabian Style

Yogi Tri Prasetyo; Retno Widyaningrum. 2021. "Eye Ballistic Phase Time and Eye Correction Phase Time as Mediators of the Relationships Among 2D/3D TV Environment, Eye Gaze Accuracy, and Symptoms." Advances in Intelligent Systems and Computing , no. : 399-408.

Journal article
Published: 01 January 2021 in International Journal of Information and Education Technology
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The Filipinos are current in lockdown that is to prevent the spreading of COVID-19 in the country. In this paper, we are focusing in determining the playtime and satisfaction of Gen Z-ers which were born from 1997 onwards who plays Mobile Legends: Bang Bang. In this paper, we utilize the Structural Equation Modelling (SEM) and applying the Self-Affirmation Theory (SAT) for the research framework of this study. The researchers gathered 257 valid participants in which most of them were high school and college students. We will see in the result section the factor loadings of our model wherein we found out that the impact of self-worth to playtime has the largest patch coefficient. Surprisingly, we also found out that there is no significant effect in the self-worth to satisfaction. We also showed here that the model fits our data giving the result of index is within the suggested values (GFI = 0.86, CFI = 0.92, AGFI = 0.82, TLI = 0.92, IFI = 0.93, RMSEA = 0.068, CMIN/DF = 2.9).

ACS Style

Ryuichi T. Kishimoto; Yogi Tri Prasetyo; Satria Fadil Persada; A. A. N. Perwira Redi. Filipino Generation Z on Mobile Legends during COVID-19: A Determination of Playtime and Satisfaction. International Journal of Information and Education Technology 2021, 11, 381 -386.

AMA Style

Ryuichi T. Kishimoto, Yogi Tri Prasetyo, Satria Fadil Persada, A. A. N. Perwira Redi. Filipino Generation Z on Mobile Legends during COVID-19: A Determination of Playtime and Satisfaction. International Journal of Information and Education Technology. 2021; 11 (8):381-386.

Chicago/Turabian Style

Ryuichi T. Kishimoto; Yogi Tri Prasetyo; Satria Fadil Persada; A. A. N. Perwira Redi. 2021. "Filipino Generation Z on Mobile Legends during COVID-19: A Determination of Playtime and Satisfaction." International Journal of Information and Education Technology 11, no. 8: 381-386.

Journal article
Published: 01 January 2021 in International Journal of Information and Education Technology
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Predictive Maintenance can be defined as a type of advanced maintenance that detects the onset of system degradation allowing causal stressors to be eliminated or controlled prior to any significant deterioration in component physical state. Thru Internet of Things (IoT) Technology, automation, and implementation of Predictive Maintenance are possible. The purpose of this study is to propose the implementation of Predictive Maintenance using IpT Technology at University-based Operation & Maintenance Project that aims to transform the current Key Performance Indicator (KPI) of PM to CM Ratio from 80:20 to 90:10. Six Sigma DMAIC Methodology and Data-Driven Predictive Maintenance Planning Framework were utilized as the methodology of this research. Research’s results show that KPI, 90:10 (PM to CM Ratio) is achievable and maintenance cost can significantly reduce from 25% to 30%. Other valuable benefits are return of investment (10X), elimination of breakdown (70 - 75%), reduction in downtime (35% - 45%) and increase of production (20% - 25%). The proposed concept can be utilized in other industries to achieve high customer satisfaction percentages, sustainable operations, fault prediction, and online monitoring using PC or mobile applications.

ACS Style

James Ryan Fernandez; Yogi Tri Prasetyo; Satria Fadil Persada; A. A. N. Perwira Redi. Automation of Predictive Maintenance Using Internet of Things (IoT) Technology at University-Based O&M Project. International Journal of Information and Education Technology 2021, 11, 332 -336.

AMA Style

James Ryan Fernandez, Yogi Tri Prasetyo, Satria Fadil Persada, A. A. N. Perwira Redi. Automation of Predictive Maintenance Using Internet of Things (IoT) Technology at University-Based O&M Project. International Journal of Information and Education Technology. 2021; 11 (7):332-336.

Chicago/Turabian Style

James Ryan Fernandez; Yogi Tri Prasetyo; Satria Fadil Persada; A. A. N. Perwira Redi. 2021. "Automation of Predictive Maintenance Using Internet of Things (IoT) Technology at University-Based O&M Project." International Journal of Information and Education Technology 11, no. 7: 332-336.

Conference paper
Published: 27 September 2020 in 2020 The 6th International Conference on Industrial and Business Engineerin
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Manual leather cutting operators are engaged in highly repetitive operations, and work while standing during their entire working hours. This leads to discomforts and Musculoskeletal Disorders (MSDs). However, there is a lack of research regarding their working posture and condition. The study aims to assess and analyze musculoskeletal discomfort in the manual cutting of the sheepskin process in a shoe manufacturing company. The sample included 22 cutting operators. Data were collected through self-reported questionnaires which included demographic, job-related factors and Cornell Musculoskeletal Discomfort Questionnaire (CMDQ). The working posture of the operators were assessed using Rapid Upper Limb Assessment (RULA) and Rapid Entire Body Assessment (REBA). Results were also correlated with demographics and job related factors. The highest discomfort felt in the hand was on the ring finger, middle finger, and index finger of the operators. The highest occurrence of musculoskeletal symptoms were in foot, neck, lower leg and knee of the operators. RULA and REBA grand score (5 - 6) indicated that workers’ postures were at medium risk and suggests further investigation was needed to change their working posture and that is should be changed soon. The findings revealed the working conditions of cutting operators and emphasized the need for ergonomic interventions to minimize the MSDs among them. It also suggested that other types of cutting process and tooling must be considered to improve current situation.

ACS Style

Robimarl B. Torres; Yogi Tri Prasetyo. Evaluation of ergonomic working conditions among manual leather cutter in the Shoe Industry. 2020 The 6th International Conference on Industrial and Business Engineerin 2020, 1 .

AMA Style

Robimarl B. Torres, Yogi Tri Prasetyo. Evaluation of ergonomic working conditions among manual leather cutter in the Shoe Industry. 2020 The 6th International Conference on Industrial and Business Engineerin. 2020; ():1.

Chicago/Turabian Style

Robimarl B. Torres; Yogi Tri Prasetyo. 2020. "Evaluation of ergonomic working conditions among manual leather cutter in the Shoe Industry." 2020 The 6th International Conference on Industrial and Business Engineerin , no. : 1.