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Dr. Redi is currently a Lecturer in Department of Logistics Engineering, Universitas Pertamina. Formerly, a research fellow at Monash University, Australia. He received his Ph.D. in Industrial Management from the National Taiwan University of Science and Technology in 2017. His current research interests focus on the development of algorithms for optimization and its application in logistics and transportation problems.
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.
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 StyleYogi 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 StyleYogi 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.
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.
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 StyleYogi 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 StyleYogi 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.
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.
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 StyleArdvin 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 StyleArdvin 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.
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.
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 StyleYogi 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 StyleYogi 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.
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.
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 StyleArdvin 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 StyleArdvin 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.
This research presents a variant of the vehicle routing problem known as the path cover problem with time windows (PCPTW), in which each vehicle starts with a particular customer and finishes its route at another customer. The vehicles serve each customer within the customer’s time windows. PCPTW is motivated by a practical strategy for companies to reduce operational cost by hiring freelance workers, thus allowing workers to directly service customers without reporting to the office. A mathematical programming model is formulated for the problem. This research also proposes a simulated annealing heuristic with restart strategy (SARS) to solve PCPTW and test it on several benchmark datasets. Computational results indicate that the proposed SARS effectively solves PCPTW.
Vincent Yu; Winarno; Achmad Maulidin; A. Redi; Shih-Wei Lin; Chao-Lung Yang. Simulated Annealing with Restart Strategy for the Path Cover Problem with Time Windows. Mathematics 2021, 9, 1625 .
AMA StyleVincent Yu, Winarno, Achmad Maulidin, A. Redi, Shih-Wei Lin, Chao-Lung Yang. Simulated Annealing with Restart Strategy for the Path Cover Problem with Time Windows. Mathematics. 2021; 9 (14):1625.
Chicago/Turabian StyleVincent Yu; Winarno; Achmad Maulidin; A. Redi; Shih-Wei Lin; Chao-Lung Yang. 2021. "Simulated Annealing with Restart Strategy for the Path Cover Problem with Time Windows." Mathematics 9, no. 14: 1625.
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.
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 StyleYogi 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 StyleYogi 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.
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.
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 StyleArdvin 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 StyleArdvin 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.
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.
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 StyleYogi 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 StyleYogi 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.
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.
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 StyleJustine 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 StyleJustine 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.
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.
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 StyleYogi 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 StyleYogi 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.
XYZ company is a large textile dye companies in Indonesia. To reach existing consumers with lower transportation costs, XYZ Company plans to add new warehouses. This study provides an analysis using mathematical modeling for the problem of selecting a new facility location for XYZ company. The purpose of the model used is to provide recommendations for the location of candidate warehouse facilities that will be used as new warehouses. This study uses the gravity location method which is implemented simply with Microsoft Excel software. This method was chosen based on its suitability with the description of the problems XYZ company has. In this study, the data required to determine the location of the best facilities were collected according to the gravity location method procedure. The data collected is data related to consumers from XYZ companies such as location (latitude, longitude), number of requests, and distance data. The results of managerial analysis related to the old location and the new location for the facilities that will be used by the XYZ company show that the new location is projected to provide transportation cost savings of Rp. 416,910, - or 21% per week.AbstrakPerusahaan XYZ merupakan perusahaan pewarna tekstil yang cukup besar di Indonesia. Untuk menjangkau konsumen yang sudah ada dengan biaya transportasi yang lebih rendah Perusahaan XYZ berencana melakukan penambahan gudang baru. Penelitian ini memberikan analisa menggunakan pemodelan matematis untuk permasalahan pemilihan lokasi fasilitas baru bagi perusahaan XYZ. Tujuan dari model yang digunakan ini adalah memberikan rekomendasi lokasi kandidat fasilitas gudang yang akan digunakan sebagai gudang baru. Penelitian ini menggunakan metode gravity location yang diimplementasikan secara sederhana dengan perangkat lunak Microsoft Excel. Metode ini dipilih berdasarkan kesesuaiannya dengan deskripsi permasalahan yang dimiliki perusahaan XYZ. Dalam penelitian ini dikumpulkan data yang dibutuhkan untuk menentukan lokasi fasilitas terbaik sesuai dengan prosedur metode gravity location. Data yang dikumpulkan adalah data terkait konsumen dari perusahaan XYZ seperti lokasi (latitude, longitude), jumlah permintaan, dan data jarak. Hasil analisa manajerial terkait lokasi lama dan lokasi baru untuk fasilitas yang akan digunakan perusahaan XYZ menunjukkan lokasi baru diproyeksikan dapat memberikan penghematan biaya transportasi sebesar Rp. 416.910,- atau sebesar 21% per minggu nya.
Athiyyah Zhafarina (Universitas Pertamina); Adji Candra Kurniawan (Universitas Pertamina); Anak Agung Ngurah Perwira Redi (BINUS University); Nanda Ruswandi (Universitas Pertamina). METODE GRAVITY LOCATION UNTUK OPTIMASI PENENTUAN LOKASI GUDANG PADA JARINGAN DISTRIBUSI DI PT XYZ. Jurnal Manajemen Industri dan Logistik 2021, 5, 31 -41.
AMA StyleAthiyyah Zhafarina (Universitas Pertamina), Adji Candra Kurniawan (Universitas Pertamina), Anak Agung Ngurah Perwira Redi (BINUS University), Nanda Ruswandi (Universitas Pertamina). METODE GRAVITY LOCATION UNTUK OPTIMASI PENENTUAN LOKASI GUDANG PADA JARINGAN DISTRIBUSI DI PT XYZ. Jurnal Manajemen Industri dan Logistik. 2021; 5 (1):31-41.
Chicago/Turabian StyleAthiyyah Zhafarina (Universitas Pertamina); Adji Candra Kurniawan (Universitas Pertamina); Anak Agung Ngurah Perwira Redi (BINUS University); Nanda Ruswandi (Universitas Pertamina). 2021. "METODE GRAVITY LOCATION UNTUK OPTIMASI PENENTUAN LOKASI GUDANG PADA JARINGAN DISTRIBUSI DI PT XYZ." Jurnal Manajemen Industri dan Logistik 5, no. 1: 31-41.
Mohammad Razif; Bobby Ardiansyah Miraja; Satria Fadil Persada; Reny Nadlifatin; Prawira Fajarindra Belgiawan; Anak Agung Ngurah Perwira Redi; Shu-Chiang Lin. Investigating the role of environmental concern and the unified theory of acceptance and use of technology on working from home technologies adoption during COVID-19. Entrepreneurship and Sustainability Issues 2020, 8, 795 -808.
AMA StyleMohammad Razif, Bobby Ardiansyah Miraja, Satria Fadil Persada, Reny Nadlifatin, Prawira Fajarindra Belgiawan, Anak Agung Ngurah Perwira Redi, Shu-Chiang Lin. Investigating the role of environmental concern and the unified theory of acceptance and use of technology on working from home technologies adoption during COVID-19. Entrepreneurship and Sustainability Issues. 2020; 8 (1):795-808.
Chicago/Turabian StyleMohammad Razif; Bobby Ardiansyah Miraja; Satria Fadil Persada; Reny Nadlifatin; Prawira Fajarindra Belgiawan; Anak Agung Ngurah Perwira Redi; Shu-Chiang Lin. 2020. "Investigating the role of environmental concern and the unified theory of acceptance and use of technology on working from home technologies adoption during COVID-19." Entrepreneurship and Sustainability Issues 8, no. 1: 795-808.
We consider the problem of utilizing the parcel locker network for the logistics solution in the metropolitan area. Two-echelon distribution systems are attractive from an economic standpoint, whereas the product from the depot can be distributed from or to intermediate facilities. In this case, the intermediate facilities are considered as locker facilities present in an accessible location in the vicinity of the final customers. In addition, the utilization of locker facilities can reduce the cost caused by the unattended deliveries. The problem is addressed as an optimization model that formulated into an integer linear programming model denoted as the two-echelon vehicle routing problem with locker facilities (2EVRP-LF). The objective is to minimize the cost of transportation with regards to the vehicle travelling cost, the intermediate facilities renting cost, and the additional cost to compensate the customer that needs to travel to access the intermediate facilities. Because of its complexity, a simulated annealing algorithm is proposed to solve the problem. On the other hand, the modelling approach can be conducted by generating two-phase optimization model approaches, which are the p-median problem and the capacitated vehicle routing problem. The results from both methods are compared in numerical experiments. The results show the effectiveness of 2EVRP-LF compared to the two-phase optimization. Furthermore, the simulated annealing algorithm showed an effective performance in solving 2EVRP-LF.
A. A. N. Perwira Redi; Parida Jewpanya; Adji Candra Kurniawan; Satria Fadil Persada; Reny Nadlifatin; Oki Anita Candra Dewi. A Simulated Annealing Algorithm for Solving Two-Echelon Vehicle Routing Problem with Locker Facilities. Algorithms 2020, 13, 218 .
AMA StyleA. A. N. Perwira Redi, Parida Jewpanya, Adji Candra Kurniawan, Satria Fadil Persada, Reny Nadlifatin, Oki Anita Candra Dewi. A Simulated Annealing Algorithm for Solving Two-Echelon Vehicle Routing Problem with Locker Facilities. Algorithms. 2020; 13 (9):218.
Chicago/Turabian StyleA. A. N. Perwira Redi; Parida Jewpanya; Adji Candra Kurniawan; Satria Fadil Persada; Reny Nadlifatin; Oki Anita Candra Dewi. 2020. "A Simulated Annealing Algorithm for Solving Two-Echelon Vehicle Routing Problem with Locker Facilities." Algorithms 13, no. 9: 218.
Symbiotic organisms search (SOS) is a promising metaheuristic algorithm that has been studied recently by numerous researchers due to its capability to solve various hard and complex optimization problems. SOS is a powerful optimization technique that mimics the simulation of the typical symbiotic interactions among organisms in an ecosystem. This study presents a new SOS-based hybrid algorithm for solving the challenging construction site layout planning (CSLP) discrete problems. A new algorithm called the hybrid symbiotic organisms search with local operators (HSOS-LO) represents a combination of the canonical SOS and several local search mechanisms aimed at increasing the searching capability in discrete-based solution space. In this study, three CSLP problems that consist of single and multi-floor facility layout problems are tested, and the obtained results were compared with other widely used metaheuristic algorithms. The results indicate the robust performance of the HSOS-LO algorithm in handling discrete-based CSLP problems.
Doddy Prayogo; Min-Yuan Cheng; Yu-Wei Wu; A. A. N. Perwira Redi; Vincent F. Yu; Satria Fadil Persada; Reny Nadlifatin. A Novel Hybrid Metaheuristic Algorithm for Optimization of Construction Management Site Layout Planning. Algorithms 2020, 13, 117 .
AMA StyleDoddy Prayogo, Min-Yuan Cheng, Yu-Wei Wu, A. A. N. Perwira Redi, Vincent F. Yu, Satria Fadil Persada, Reny Nadlifatin. A Novel Hybrid Metaheuristic Algorithm for Optimization of Construction Management Site Layout Planning. Algorithms. 2020; 13 (5):117.
Chicago/Turabian StyleDoddy Prayogo; Min-Yuan Cheng; Yu-Wei Wu; A. A. N. Perwira Redi; Vincent F. Yu; Satria Fadil Persada; Reny Nadlifatin. 2020. "A Novel Hybrid Metaheuristic Algorithm for Optimization of Construction Management Site Layout Planning." Algorithms 13, no. 5: 117.
Nowadays, learning media has developed rapidly, opening infinite possibilities for students to access their educational materials. Learner's Generated Content (LGC) is one of the emerging learning media that showed interesting promises. LGC is based on the concept of User Generated Content; many advantages of UGC also existed in LGC: speed, collaboration, and the diversity of contents. Although past researches have already proven that LGC has positive effects on the educational process, mainly, these previous researches focused only on the perspective of the educators. This study questioned how today's students, mostly comprised of Generation Z, see LGC. Employing the Theory of Planned Behaviour (TPB), we revealed several statistical results followed by managerial interpretations. Attitude (AT) was shown to have the highest correlation with Generation Z's students (β=0.43), educators could utilize this fact; they can be more re-assured when implementing LGC in their future curriculum. The Perceived Behavioral Control (PBC) was also significant towards our respondent's behavioral intention (β=0.34), indicating that there is a little limitation for students to use LGC as part of their learning activity.
Satria Fadil Persada; Jeremy Ivanovski; Bobby Miraja; Reny Nadlifatin; Ilma Mufidah; Jacky Chin; Anak Agung Ngurah Perwira Redi. Investigating Generation Z’ Intention to Use Learners’ Generated Content for Learning Activity: A Theory of Planned Behavior Approach. International Journal of Emerging Technologies in Learning (iJET) 2020, 15, 179 -194.
AMA StyleSatria Fadil Persada, Jeremy Ivanovski, Bobby Miraja, Reny Nadlifatin, Ilma Mufidah, Jacky Chin, Anak Agung Ngurah Perwira Redi. Investigating Generation Z’ Intention to Use Learners’ Generated Content for Learning Activity: A Theory of Planned Behavior Approach. International Journal of Emerging Technologies in Learning (iJET). 2020; 15 (4):179-194.
Chicago/Turabian StyleSatria Fadil Persada; Jeremy Ivanovski; Bobby Miraja; Reny Nadlifatin; Ilma Mufidah; Jacky Chin; Anak Agung Ngurah Perwira Redi. 2020. "Investigating Generation Z’ Intention to Use Learners’ Generated Content for Learning Activity: A Theory of Planned Behavior Approach." International Journal of Emerging Technologies in Learning (iJET) 15, no. 4: 179-194.
This paper introduces the path cover problem (PCP) that is a variant of the capacitated vehicle routing problem (CVRP). In contrast to CVRP, a vehicle route in PCP involves a set of vertex-disjoint paths where a vehicle starts at a customer and finishes at another customer without traveling to the depot. PCP is defined to find a set of service paths to serve a set of customers that aiming to minimize the total traveling cost and hiring cost. This paper develops a hybrid approach that integrates variable neighborhood search (VNS) and tabu search (TS) to solve the problem. This algorithm presents an approach to explore the solution space by utilizing multi-set neighborhood and applying the systematic changing neighborhood of VNS. TS is incorporated into the algorithm to guide the search toward diverse regions. The computational results indicate that the proposed algorithm efficiently solves PCP.
Vincent F. Yu; A. A. N. Perwira Redi; Christine Halim; Parida Jewpanya. The path cover problem: Formulation and a hybrid metaheuristic. Expert Systems with Applications 2019, 146, 113107 .
AMA StyleVincent F. Yu, A. A. N. Perwira Redi, Christine Halim, Parida Jewpanya. The path cover problem: Formulation and a hybrid metaheuristic. Expert Systems with Applications. 2019; 146 ():113107.
Chicago/Turabian StyleVincent F. Yu; A. A. N. Perwira Redi; Christine Halim; Parida Jewpanya. 2019. "The path cover problem: Formulation and a hybrid metaheuristic." Expert Systems with Applications 146, no. : 113107.
The negative effects of the usage of illegal software, especially in educational settings, concerns not only software developers but also educational institutions. This research papers investigated the factors contributing to the behavioral intention of Generation Z students' to comply with educational software anti-piracy laws. Using a framework that analyzes fear appeals, this research found that self-efficacy and response efficacy has a significant relationship with the behavioral intention of Generation Z's intention to comply with educational software anti-piracy laws. Several insights from practical and managerial perspectives are dis-cussed. Supporting the anti-piracy behavior will help the education field to be better in the future.
Bobby Miraja; Satria Fadil Persada; Yogi Tri Prasetyo; Prawira Fajarindra Belgiawan; A.A.N Perwira Redi. Applying Protection Motivation Theory To Understand Generation Z Students Intention To Comply With Educational Software Anti Piracy Law. International Journal of Emerging Technologies in Learning (iJET) 2019, 14, 1 .
AMA StyleBobby Miraja, Satria Fadil Persada, Yogi Tri Prasetyo, Prawira Fajarindra Belgiawan, A.A.N Perwira Redi. Applying Protection Motivation Theory To Understand Generation Z Students Intention To Comply With Educational Software Anti Piracy Law. International Journal of Emerging Technologies in Learning (iJET). 2019; 14 (18):1.
Chicago/Turabian StyleBobby Miraja; Satria Fadil Persada; Yogi Tri Prasetyo; Prawira Fajarindra Belgiawan; A.A.N Perwira Redi. 2019. "Applying Protection Motivation Theory To Understand Generation Z Students Intention To Comply With Educational Software Anti Piracy Law." International Journal of Emerging Technologies in Learning (iJET) 14, no. 18: 1.
This paper introduces the Team Orienteering Problem with Time Windows and Partial Scores (TOPTW-PS), which is an extension of the Team Orienteering Problem with Time Windows (TOPTW). In the context of the TOPTW-PS, each node is associated with a set of scores with respect to a set of attributes. The objective of TOPTW-PS is to find a set of routes that maximizes the total score collected from a subset of attributes when visiting the nodes subject to the time budget and the time window at each visited node. We develop a mathematical model and propose a discrete version of the Particle Swarm Optimization (PSO), namely, the Selective-Discrete PSO (S-DPSO), to solve TOPTW-PS. The proposed S-DPSO uses four different movement schemes to move a particle from its current position. The best movement scheme is selected to determine the next position of the particle. To evaluate the performance of the proposed S-DPSO algorithm, we first test S-DPSO on two variants of Orienteering Problem, namely, Team Orienteering Problem (TOP) and TOPTW. Experimental results show that S-DPSO performs well in solving benchmark instances of TOP and TOPTW. In general, S-DPSO is comparable to the state-of-the-art algorithms for these problems. We also apply the S-DPSO to solve 168 newly generated TOPTW-PS instances and conclude that the proposed S-DPSO can produce high-quality TOPTW-PS solutions.
Vincent F. Yu; A. A. N. Perwira Redi; Parida Jewpanya; Aldy Gunawan. Selective discrete particle swarm optimization for the team orienteering problem with time windows and partial scores. Computers & Industrial Engineering 2019, 138, 106084 .
AMA StyleVincent F. Yu, A. A. N. Perwira Redi, Parida Jewpanya, Aldy Gunawan. Selective discrete particle swarm optimization for the team orienteering problem with time windows and partial scores. Computers & Industrial Engineering. 2019; 138 ():106084.
Chicago/Turabian StyleVincent F. Yu; A. A. N. Perwira Redi; Parida Jewpanya; Aldy Gunawan. 2019. "Selective discrete particle swarm optimization for the team orienteering problem with time windows and partial scores." Computers & Industrial Engineering 138, no. : 106084.
Sistem public bike sharing memiliki permasalahan dimana jumlah sepeda pada docking station (tempat parkir sepeda) perlu diseimbangkan untuk menjamin kepuasan pengguna sistem. Untuk itu solusi yang sering dilakukan adalah distribusi sepeda agar pengguna sistem tetap dapat parkir untuk lokasi yang biasanya penuh dengan sepeda ataupun mengambil sepeda pada lokasi yang biasanya kekurangan sepeda. Tujuan dari pemecahan masalah ini adalah untuk mendapatkan rute kendaraan dengan total biaya operasi dari kendaraan tersebut. Total biaya operasi kendaraan diasosiasikan dengan total waktu yang dibutuhkan kendaraan untuk melakukan distribusi sepeda. Selain itu terdapat juga biaya penalti yang berasosiasi dengan kekurangan jumlah sepeda ataupun slot parkir pada waktu operasi dari fasilitas public bike-sharing. Dalam penelitian ini, dua variasi algoritma simulated annealing (SA) dikembangkan untuk menyelesaikan permasalahan SBRP disebut dengan SA_BF dan SA_CF. Data yang digunakan berasal dari studi kasus milik Velib bike sharing system di Paris, Prancis. Hasil dari eksperimen menunjukkan bahwa kedua algoritma SA_BF dan SA_CF berhasil dengan baik menghasilkan solusi untuk SBRP. Algoritma ini memiliki selisih rata-rata 2.21% dan 0.36% terhadap algoritma Arc-Indexed (AI) dari penelitian sebelumnya pada dataset pertama. Sedangkan untuk rata-dataset kedua, algoritma Tabu Search, SA_BF dan SA_CF memperoleh selisih rata-rata 0.65%, 1.08% dan 0.38% terhadap hasil optimal.
Anak Agung Ngurah Perwira Redi; Anak Agung Ngurah Agung Redioka. Algoritma Simulated Annealing untuk Optimasi Rute Kendaraan dan Pemindahan Lokasi Sepeda pada Sistem Public Bike Sharing. Jurnal Sistem dan Manajemen Industri 2019, 3, 50 -58.
AMA StyleAnak Agung Ngurah Perwira Redi, Anak Agung Ngurah Agung Redioka. Algoritma Simulated Annealing untuk Optimasi Rute Kendaraan dan Pemindahan Lokasi Sepeda pada Sistem Public Bike Sharing. Jurnal Sistem dan Manajemen Industri. 2019; 3 (1):50-58.
Chicago/Turabian StyleAnak Agung Ngurah Perwira Redi; Anak Agung Ngurah Agung Redioka. 2019. "Algoritma Simulated Annealing untuk Optimasi Rute Kendaraan dan Pemindahan Lokasi Sepeda pada Sistem Public Bike Sharing." Jurnal Sistem dan Manajemen Industri 3, no. 1: 50-58.