ORCID Profile
0000-0003-0372-5851
Current Organisation
Universitas Islam Indonesia
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Publisher: MDPI AG
Date: 25-09-2020
DOI: 10.20944/PREPRINTS202009.0616.V1
Abstract: We report interfacial crystallization in droplets of saline solutions placed on superhydrophobic surfaces and liquid marbles filled with the saline. Evaporation of saline droplets deposited on superhydrophobic surface resulted in the formation of cup-shaped millimeter-scaled residues. The formation of the cup-like deposit is reasonably explained within the framework of the theory of the coffee-stain effect, namely, the rate of heterogeneous crystallization along the contact line of the droplet is many times higher than in the droplet bulk. Crystallization within evaporated saline marbles, coated with lycopodium particles, depends strongly on the evaporation rate. Rapidly evaporated saline marbles yielded dented shells built of a mixture of colloidal particles and NaCl crystals. We relate the formation of these shells to the interfacial crystallization promoted by hydrophobic particles coating the marbles, accompanied with the upward convection flows supplying the saline to the particles, serving as the centers of interfacial crystallization. Convective flows prevail over the diffusion mass transport for the saline marbles heated from below.
Publisher: Emerald
Date: 30-04-2021
Abstract: In this study, the authors seek to understand factors that naturally influence users to adopt two-factor authentication (2FA) without even trying to intervene by investigating factors within in iduals that may influence their decision to adopt 2FA by themselves. A total of 1,852 in iduals from all 34 provinces in Indonesia participated in this study by filling out online questionnaires. The authors discussed the results from statistical analysis further through the lens of the loss aversion theory. The authors found that loss aversion, represented by higher income that translates to greater potential pain caused by losing things to be the most significant demographic factor behind 2FA adoption. On the contrary, those with a low-income background, even if they have some college degree, are more likely to skip 2FA despite their awareness of this technology. The authors also found that the older generation, particularly females, to be among the most vulnerable groups when it comes to authentication-based cyber threats as they are much less likely to adopt 2FA, or even to be aware of its existence in the first place. Authentication is one of the most important topics in cybersecurity that is related to human-computer interaction. While 2FA increases the security level of authentication methods, it also requires extra efforts that can translate to some level of inconvenience on the user's end. By identifying the associated factors from the user's ends, a necessary intervention can be made so that more users are willing to jump on the 2FA adopters' train.
Publisher: Emerald
Date: 05-11-2020
Abstract: The purpose of this study is to investigate if and how government intervention can nudge students to become ebook readers. A cross-sectional survey research design was adopted for this study. A total of 1,144 students from four middle and high schools in urban and rural areas of Indonesia participated in this study. The results from statistical analyses were further discussed through the lens of the nudge theory. This paper founds evidence that government intervention in the form of the Buku Sekolah Elektronik (BSE) policy that has been providing free electronic textbooks for more than a decade can help nudge students to become ebook readers. After controlling for student’s demographic information, this paper founds that their awareness of such a policy is significantly associated with a stronger preference toward ebooks while having no significant effect on their preferences toward printed book format. This paper also founds that mobile device adoption plays an important role where early adopters tend to prefer ebook format, whereas laggards are more associated with printed book format. Many have studied the benefits of using ebooks in learning, but the literature also shows that most students still prefer reading printed books over ebooks. This is true not only in developing countries where problems with infrastructures can h er the adoption of ebooks in general but also in developed countries where ebooks are much more prevalent, even among the general population. This paper showed how government interventions have the potency to help tip the scales and nudge students to become ebook readers.
Publisher: STMIK Budi Darma
Date: 26-10-2021
Abstract: People are increasingly turning to the internet for health-related information. It is very easy to perform or obtain health-related services or information on the internet using different types of devices. This study's goal is to assess public acceptance of the internet as a source of health information by combining the Unified Theory of Acceptance and Use of Technology (UTAUT) with the Health Belief Model (HBM). SEM techniques were used to analyze data collected from 324 respondents via online questionnaires. Two factors from the HBM model: self efficacy (SE) and cues to action (CA) were found as the strongest factors behind the acceptance of the internet as a source of health information. Two other factors from UTAUT model Social Influence (SI) and Performance Expectancy (PE) also had significant effects, albeit not as strong, on the acceptance of internet media as a source of health information. This study's findings also point to the possibility of incorrect self-medication when excessive perceived self-efficacy (SE) is combined with symptoms as cues to action (CA) and social influence (SI) when looking up health information online
Publisher: MDPI AG
Date: 08-09-2021
DOI: 10.3390/SYM13091659
Abstract: A continuous measure of symmetry and the Voronoi entropy of 2D patterns representing Voronoi diagrams emerging from the Penrose tiling were calculated. A given Penrose tiling gives rise to a ersity of the Voronoi diagrams when the centers, vertices, and the centers of the edges of the Penrose rhombs are taken as the seed points (or nuclei). Voronoi diagrams keep the initial symmetry group of the Penrose tiling. We demonstrate that the continuous symmetry measure and the Voronoi entropy of the studied sets of points, generated by the Penrose tiling, do not necessarily correlate. Voronoi diagrams emerging from the centers of the edges of the Penrose rhombs, considered nuclei, deny the hypothesis that the continuous measure of symmetry and the Voronoi entropy are always correlated. The Voronoi entropy of this kind of tiling built of asymmetric convex quadrangles equals zero, whereas the continuous measure of symmetry of this pattern is high. Voronoi diagrams generate new types of Penrose tiling, which are different from the classical Penrose tessellation.
Publisher: PeerJ
Date: 28-09-2022
Abstract: Newspapers and other mass media outlets are critical in shaping public opinion on a variety of contemporary issues, including the COVID-19 pandemic. This study examines how the pandemic is portrayed in the news and how the public reacted differently in the West and East using archival data from Facebook posts about COVID-19 news by English-language mass media between January 2020 and April 2022 ( N = 711,646). Specifically, we employed the Valence Aware Dictionary and sEntiment Reasoner (Vader) to measure the news tone on each COVID-19 news item shared on Facebook by mass media outlets. In addition, we calculated a polarity score based on Facebook special reactions ( i.e ., love, angry, sad, wow, haha, and care) received by each post to measure public reactions toward it. We discovered that people in Western countries reacted significantly more negatively to COVID-19 news than their East counterparts, despite the fact that the news itself, in aggregate, generally contained a relatively similar level of neutral tone in both West and East media. The implications of these distinctions are discussed in greater detail.
Publisher: MDPI AG
Date: 08-06-2022
DOI: 10.3390/E24060802
Abstract: Properties of the Voronoi tessellations arising from random 2D distribution points are reported. We applied an iterative procedure to the Voronoi diagrams generated by a set of points randomly placed on the plane. The procedure implied iding the edges of Voronoi cells into equal or random parts. The iding points were then used to construct the following Voronoi diagram. Repeating this procedure led to a surprising effect of the positional ordering of Voronoi cells, reminiscent of the formation of lamellae and spherulites in linear semi-crystalline polymers and metallic glasses. Thus, we can conclude that by applying even a simple set of rules to a random set of seeds, we can introduce order into an initially disordered system. At the same time, the Shannon (Voronoi) entropy showed a tendency to attain values that are typical for completely random patterns thus, the Shannon (Voronoi) entropy does not distinguish the short-range ordering. The Shannon entropy and the continuous measure of symmetry of the patterns demonstrated the distinct asymptotic behavior, while approaching the close saturation values with the increase in the number of iteration steps. The Shannon entropy grew with the number of iterations, whereas the continuous measure of symmetry of the same patterns demonstrated the opposite asymptotic behavior. The Shannon (Voronoi) entropy is not an unambiguous measure of order in the 2D patterns. The more symmetrical patterns may demonstrate the higher values of the Shannon entropy.
Publisher: Elsevier BV
Date: 06-2021
Publisher: IGI Global
Date: 10-2020
Abstract: In developing countries, where most people have cell phones (even when they don't have reliable electricity or internet service), e-learning and m-learning offer great opportunities for educating a vast populace, particularly in rural communities. This article presents an analysis of primary data from over one thousand secondary school students in Indonesia, the fourth most populated nation in the world, to determine how they are using e-learning and m-learning and how device ownership influences that. The findings from the logistic regression models show that mobile devices are more important than traditional PCs in promoting e-learning, while tablets are better than smartphones for promoting m-learning. Having access to free wi-fi is equally important. Students who prefer m-learning on mobile devices over traditional e-learning activities on PCs tend to be more active and collaborative learners. These findings can help inform policy makers in improving the educational attainment in Indonesia and other developing countries.
Publisher: Bastas Publications
Date: 09-01-2022
Publisher: Springer Science and Business Media LLC
Date: 17-09-2020
Publisher: IOP Publishing
Date: 03-2017
Publisher: MDPI AG
Date: 27-04-2022
DOI: 10.20944/PREPRINTS202204.0252.V1
Abstract: Properties of the Voronoi tessellations arising from the random 2D distribution points are reported. We applied the procedure of iding the sides of Voronoi cells into equal or random parts to Voronoi diagrams generated by a set of randomly placed on the plane points. The iding points were then used to construct the following Voronoi diagram. Repeating this procedure led to a surprising effect of positional ordering of Voronoi cells, reminiscent of the formation of lamellae and spherulites in linear semi-crystalline polymers and metallic glasses. Thus, we can conclude, that by applying even a simple set of rules to a random set of seeds we introduce order into an initially disordered system. At the same time, the Voronoi entropy showed a tendency to values typical for completely random patterns and did not distinguish the short-range ordering. The Voronoi entropy and the continuous measure of symmetry of the patterns demonstrated the distinct asymptotic behavior, while approaching the close saturation values with the increase of the number of the iteration steps. Voronoi entropy grew, with the number of iterations, whereas the continuous measure of symmetry of the same patterns demonstrated the opposite asymptotic behavior. The Voronoi entropy is not an unambiguous measure of order in the 2D patterns. The more symmetrical patterns may demonstrate the higher values of the Voronoi entropy.
Publisher: Fakultas Ilmu Komputer Universitas Brawijaya
Date: 31-08-2022
DOI: 10.25126/JTIIK.2022934311
Abstract: Proses pemilihan program studi bagi calon mahasiswa baru, khususnya bagi mereka yang masih duduk di bangku SMA atau sederajat, merupakan salah satu momen pengambilan keputusan penting. Tak jarang pilihan yang salah berujung pada kegagalan studi atau kesulitan lain selepas menamatkan studi. Meski sudah mulai marak dilakukan di berbagai negara maju, sistem rekomendasi program studi berbasis machine learning untuk calon mahasiswa baru masih belum banyak dikembangkan di Indonesia. Penelitian ini dilakukan sebagai upaya rintisan sistem rekomendasi tersebut dengan menggunakan data pribadi dan akademik dari semua mahasiswa dan alumni program sarjana di Universitas Islam Indonesia (UII), di mana data prestasi akademik di masing-masing program studi digunakan sebagai ground truth label. Dari hasil penelitian ini, didapatkan sebuah model berbasis Random Forest (RF) dengan tingkat akurasi 86%, presisi 84%, recall 86%, dan AUC 97%. Model ini memiliki kinerja yang jauh lebih baik jika dibandingkan dengan model berbasis Multinomial Logistic Regression (MLR) maupun Support Vector Machine (SVM). Sesuai peta jalan penelitian, model yang dihasilkan dari penelitian ini akan digunakan untuk pengembangan sistem rekomendasi yang dapat membantu calon mahasiswa baru dalam memilih program studi saat proses penerimaan mahasiswa baru (PMB), khususnya di lingkungan UII. em strong Abstract /strong /em class="Abstract" em Choosing a major for the prospective undergraduate students is one of the most important moments in their life, especially for the high school graduates. Not infrequently, a wrong choice can lead to academic failure or even other difficulties after graduating from college. While a machine learning-based college major recommendation system is not strange in some developed countries, it is not the case in Indonesia. This study aims to serve as a pilot project for such a recommendation system by using personal and academic data of all students and alumni of the undergraduate programs in Universitas Islam Indonesia (UII) where academic achievement data is used as the ground truth label. Out of three models used and evaluated in this study, we found that Random Forest-based model to be the best option with an accuracy of 86%, precision on 84%, recall of 86%, and AUC of 97%. We also found that this model has a much better performance than other models with Multinomial Logistic Regression (MLR) or Support Vector Machine (SVM). The resulting model from this study will be deployed to develop a college major recommendation system that can help the prospective students choose their majors during college admission process, particularly in the context of UII as per research roadmap. /em strong /strong class="Judul2" em strong br / /strong /em
Publisher: Springer Science and Business Media LLC
Date: 21-05-2021
Publisher: Springer International Publishing
Date: 2017
Publisher: Kresnamedia Publisher
Date: 02-09-2022
Abstract: Self-regulated Learning (SRL) is a learning method that puts a strong emphasis on the importance of self-learning skills. Unfortunately, many existing educational technologies employed by colleges and universities continue to place a premium on technical support for the learning process within the classroom that does not provide the same level of support for SRL. This study aims to close this gap by developing the ON-SR UII, a new SRL platform that can assist college students in their quest to become independent learners. Using the design thinking approach, ON-SR UII is developed as a responsive web app that can be accessed by college students through the Internet anywhere at any time at their own pace using any computing device of varying screen sizes. This article describes the process by which ON-SR UII was designed prior to its first prototype being developed, deployed, and evaluated by stakeholders for functionality, usability, and responsiveness. The encouraging results indicate that ON-SR UII has the potential to be widely implemented, allowing for the measurement of its implications in future research.
Publisher: PeerJ
Date: 07-07-2022
Abstract: COVID-19 has forced many schools and universities worldwide, including Saudi Arabia, to move from traditional face-to-face learning to online learning. Most online learning activities involve the use of video conferencing apps to facilitate synchronous learning sessions. While some faculty members were not accustomed to using video conferencing apps, they had no other choice than to jump on board regardless of their readiness, one of which involved security and privacy awareness. On the other hand, video conferencing apps users face a number of security and privacy threats and vulnerabilities, many of which rely on human factors to be exploited. In this study, we used survey data from 307 faculty members at 43 Saudi Arabian universities to determine the level of awareness among Saudi Arabian faculty regarding security and privacy settings of video conferencing apps and to investigate the factors associated with it. We analyzed the data using the Knowledge-Attitudes-Behaviors (KAB) model and the Partial Least Squares Structural Equation Modeling (PLS-SEM) method. We found that the average awareness score of video conferencing apps’ security and privacy settings falls into the “Poor” category, which is not surprising considering that many faculty members only started using this new technology on a daily basis because of the pandemic. Further analysis showed that perceived security, familiarity with the app, and digital literacy of faculty members are significantly associated with higher awareness. Privacy concerns are significantly associated with higher awareness only among STEM faculty members, while attitudes toward ICT for teaching and research are negatively associated with such awareness among senior faculty members with more than 10 years of experience. This study lays the foundation for future research and user education on the security and privacy settings of video conferencing applications.
Publisher: IOP Publishing
Date: 03-2018
Publisher: Universitas Muslim Indonesia
Date: 31-08-2022
DOI: 10.33096/ILKOM.V14I2.1114.91-98
Abstract: Smartphones are the world's most widely used personal computing devices. PINs and passcodes have long been the most popular authentication methods in smartphones and even in the pre-smartphone era. Due to the inconvenient nature of PINs and passcodes, a new biometric authentication method for smartphones was developed and has been gaining traction in terms of adoption, beginning with flagship devices and progressing to some mid-range devices. This article aims to investigate the factors influencing smartphone owners' acceptance of biometric authentication methods by developing a new model based on the Technology Acceptance Model (TAM). It also validates the data with survey data from 233 Indonesian smartphone owners via an online survey and analyzed it using Structural Equation Modeling (SEM). The results from the SEM analysis show that all nine hypotheses in the proposed model are supported. In other words, all six factors in the proposed model (i.e., attitude toward the use, perceived usefulness, perceived the ease of use, perceived enjoyment, perceived security, and social influence) have significant effects on the behavioral intention of adopting biometric authentication methods among smartphone owners. More specifically, the findings indicate that most Indonesian smartphone users have a favorable attitude toward biometric authentication, which is why they are willing to adopt it. Furthermore, it is discovered that the perceived usefulness of a biometric authentication method on smartphones outweighs its perceived ease of use. It reveals that the user's belief in the intrinsic value of biometric authentication methods in the form of perceived security outweighs both the internal user motivation of perceived enjoyment and the external user motivation of social influence in terms of their acceptance of biometric authentication methods.
Publisher: MDPI AG
Date: 20-09-2021
DOI: 10.20944/PREPRINTS202109.0347.V1
Abstract: Informational (Shannon) measures of symmetry are introduced and analyzed for the patterns built of 1D and 2D shapes. The informational measure of symmetry Hsym (G) characterizes the an averaged uncertainty in the presence of symmetry elements from the group G in a given pattern whereas the Shannon-like measure of symmetry Ωsym (G) quantifies averaged uncertainty of appearance of shapes possessing in total n elements of symmetry belonging to group G in a given pattern. Hsym(G1)=Ωsym(G1)=0 for the patterns built of irregular, non-symmetric shapes. Both of informational measures of symmetry are intensive parameters of the pattern and do not depend on the number of shapes, their size and area of the pattern. They are also insensitive to the long-range order inherent for the pattern. Informational measures of symmetry of fractal patterns are addressed. The mixed patterns including curves and shapes are considered. Time evolution of the Shannon measures of symmetry is treated. The close-packed and dispersed 2D patterns are analyzed.
Publisher: STMIK Bumigora Mataram
Date: 06-02-2023
DOI: 10.30812/MATRIK.V22I2.2396
Abstract: The COVID-19 pandemic has a negative impact on many aspects of life. The global economic downturn is one of these negative consequences. Nonetheless, even though everyone feels the threat of this pandemic for themselves, some people still have the empathy to help others. An empirical analysis of this empathy attitude is expected to be a catalyst in realizing a social force for the community to work together to combat this pandemic. This study will look at how people felt about donating during the COVID-19 pandemic on Twitter. The goals of this study are to (1) compare differences in donor desire before and during the COVID-19 pandemic using the developed model, and (2) determine whether there is a significant difference in empathy for donating before and during the pandemic. This study employs computational social science (CSS) techniques to achieve this goal. The data was obtained from Twitter using the keyword "donation" in the 24 months preceding the pandemic and in the 24 months following the pandemic's arrival in Indonesia. Data analysis includes hypothesis testing using Mann-Whitney and Cohen's D statistical tests, showing a significant increase in online donation support among Indonesian Twitter users since the COVID-19 pandemic hit. From the results of data processing data obtained 159.995 data in accordance with the criteria to be analyzed. From the results of the Mann-Whitney test, all variables showed significant results between before and during the Covid-19 pandemic and in the results of the Cohen's d test, all variables got a large effect size. From the results of the two tests, it can open Twitter social media users who have increased empathy to donate during the Covid-19 pandemic in Indonesia
Publisher: MDPI AG
Date: 12-2022
DOI: 10.20944/PREPRINTS202212.0012.V1
Abstract: We used the complete set of convex pentagons enabling filing the plane without any overlaps or gaps (including the Marjorie Rice tiles) as generators of Voronoi tessellations. Shannon entropy of the tessellations was calculated. Some of the basic mosaics are flexible and give rise to a ersity of Voronoi tessellations. The Shannon entropy of these tessellations varied in a broad range. Voronoi tessellation, emerging from the basic pentagonal tiling built from hexagons only, was revealed (the Shannon entropy of this tiling is zero). Decagons and hendecagon did not appear in the studied Voronoi diagrams. The most abundant Voronoi tessellations are built from three different kinds of polygons. The most widespread is the combination of pentagons, hexagons and heptagons. The most abundant polygons are pentagons and hexagons. No Voronoi tiling built only of pentagons was registered. Flexible basic pentagonal mosaics give rise to a ersity of Voronoi tessellations, which are characterized by the same symmetry group however, the coordination number of the vertices is variable. These Voronoi tessellations may be useful for the interpretation of the iso-symmetrical phase transitions.
Publisher: MDPI AG
Date: 10-11-2021
DOI: 10.3390/SYM13112146
Abstract: The notion of the informational measure of symmetry is introduced according to: Hsym(G)=−∑i=1kP(Gi)lnP(Gi), where P(Gi) is the probability of appearance of the symmetry operation Gi within the given 2D pattern. Hsym(G) is interpreted as an averaged uncertainty in the presence of symmetry elements from the group G in the given pattern. The informational measure of symmetry of the “ideal” pattern built of identical equilateral triangles is established as Hsym(D3)= 1.792. The informational measure of symmetry of the random, completely disordered pattern is zero, Hsym=0. The informational measure of symmetry is calculated for the patterns generated by the P3 Penrose tessellation. The informational measure of symmetry does not correlate with either the Voronoi entropy of the studied patterns nor with the continuous measure of symmetry of the patterns. Quantification of the “ordering” in 2D patterns performed solely with the Voronoi entropy is misleading and erroneous.
Publisher: SAGE Publications
Date: 12-11-2019
Abstract: This article offers insights into the ownership and use of mobile devices (smartphones and tablets) among Indonesian middle and high school students. The study is based on primary data collected from a survey of 1,157 students at two middle schools and two high schools from two different regions in Indonesia. Data analysis includes multiple correspondence analysis and logistic regression models. The findings show that both ownership and use of mobile devices varies significantly among students of different sex, age, location, and most importantly socioeconomic status. This article also reports the use of mobile apps in three separate categories (i.e., educational apps, social media, and mobile games), showing some differences in duration and frequency of mobile apps use between different group of students. These findings can serve as a foundation for further research on how mobile technology can be used to improve educational attainment in Indonesia and other developing countries.
Publisher: MDPI AG
Date: 21-01-2022
DOI: 10.3390/APP12031127
Abstract: In this paper, informational (Shannon) measures of symmetry are introduced and analyzed for patterns built of 1D and 2D shapes. The informational measure of symmetry Hsym(G) characterizes the averaged uncertainty in the presence of symmetry elements from group G in a given pattern, whereas the Shannon-like measure of symmetry Ωsym(G) quantifies the averaged uncertainty of the appearance of shapes possessing a total of n elements of symmetry belonging to group G in a given pattern. Hsym(G1)=Ωsym(G1)=0 for the patterns built of irregular, non-symmetric shapes, where G1 is the identity element of the symmetry group. Both informational measures of symmetry are intensive parameters of the pattern and do not depend on the number of shapes, their size, and the entire area of the pattern. They are also insensitive to the long-range order (translational symmetry) inherent for the pattern. Additionally, informational measures of symmetry of fractal patterns are addressed, the mixed patterns including curves and shapes are considered, the time evolution of Shannon measures of symmetry are examined, the close-packed and dispersed 2D patterns are analyzed, and an application of the suggested measures of symmetry for the analysis of the chemical reaction is demonstrated.
Publisher: Kresnamedia Publisher
Date: 02-09-2021
Abstract: COVID-19 was declared a pandemic by the World Health Organization (WHO) due to the virus's uncontrolled spread around the world, including in Indonesia. The Indonesian government has made a number of steps to stop COVID-19 from spreading, one of which is COVID-19 vaccinations. However, not everyone thinks the vaccination is a good idea. Just like in many other countries, Indonesian people responded in different ways to COVID-19 vaccination posts on social media, be it from government officials/agencies or news portals. Their responses can be used to help the government decide on a better vaccination strategy that will help minimize the virus spread and end the pandemic in Indonesia. Using the lexicon method in determining the content sentiment in COVID-19 vaccination posts on Facebook, this research found that unlike news portals that tend to post a more balanced content (36% positive, 20% negative, and 44% neutral out of 23,623 posts with min score = -19, max score = 24, mean score = 0.25, and SD = = 1.43), government accounts posted much more positive content, both in terms of quality (min score = -15, max score = 40, mean score = 4.16, SD = 6.76 ) and quantity (69% classified as positive) than they did the neutral (15%) and the negative content (16%) out of 723 posts. Subsequent analysis with Two-Way ANOVA tests discovered that COVID-19 vaccination posts by the news portal accounts can elicit more varied reactions from the public than government accounts that tended to elicit only positive reactions. It is also confirmed that both the content sentiment of COVID-19 vaccination posts in Indonesia and the account types making the posts as well as their interaction terms do have an impact on how the public responses to them.
Publisher: MDPI AG
Date: 02-01-2023
DOI: 10.3390/E25010092
Abstract: We used the complete set of convex pentagons to enable filing the plane without any overlaps or gaps (including the Marjorie Rice tiles) as generators of Voronoi tessellations. Shannon entropy of the tessellations was calculated. Some of the basic mosaics are flexible and give rise to a ersity of Voronoi tessellations. The Shannon entropy of these tessellations varied in a broad range. Voronoi tessellation, emerging from the basic pentagonal tiling built from hexagons only, was revealed (the Shannon entropy of this tiling is zero). Decagons and hendecagon did not appear in the studied Voronoi diagrams. The most abundant Voronoi tessellations are built from three different kinds of polygons. The most widespread is the combination of pentagons, hexagons, and heptagons. The most abundant polygons are pentagons and hexagons. No Voronoi tiling built only of pentagons was registered. Flexible basic pentagonal mosaics give rise to a ersity of Voronoi tessellations, which are characterized by the same symmetry group. However, the coordination number of the vertices is variable. These Voronoi tessellations may be useful for the interpretation of the iso-symmetrical phase transitions.
Publisher: IOP Publishing
Date: 04-2020
DOI: 10.1088/1757-899X/803/1/012016
Abstract: This article adds more insights into the previous study about the use of mobile apps on smartphones and tablets among Indonesian college students based on a survey of undergraduate students at one private university in Indonesia. Data analysis includes two-s le tests of proportion and multiple correspondence analysis (MCA). The findings confirm social media as not only the most frequently used app category, but also with the highest level of engagement. While most students use their mobile device mostly for social media, it is regular and heavy use of educational apps that are more closely tied to spending more than five hours per day on mobile device whereas more frequent mobile gaming is associated to more hours spent on mobile device. Students from IT major were found to be an anomaly among other STEMM disciplines. Not only they are more likely to spend more hours on their mobile device, but also, they tend to be more socially active, at least digitally and not necessarily physically in daily life. The findings in this study give a better understanding of how Indonesian students use their mobile device that was already uncovered in the previous study by answering some of the remaining questions.
No related grants have been discovered for Ahmad R Pratama.