Ethnic differences in Indonesian anthropometry data: Evidence from three different largest ethnics

Widyanti, Ari; Susanti, Lusi; Sutalaksana, Iftikar Z.; Muslim, Khoirul

doi:10.1016/j.ergon.2015.02.008

Cited by 46 publications

(35 citation statements)

References 28 publications

(27 reference statements)

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“…In Indonesia, especially, there are two significant publication of Indonesia anthropometry in ergonomics-related international journals (please refer to [2] and [4]). Due to large and various number of populations and ethnic groups, there is a need to consistently and continuously update the anthropometric data.…”

Section: Introductionmentioning

confidence: 99%

Indonesian anthropometry update through Drillis & Contini revisited and Structural Equation Modeling incorporating children, adult and elderly populations

Hartono

2016

2016 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)

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Section: Introductionmentioning

confidence: 99%

Indonesian anthropometry update through Drillis & Contini revisited and Structural Equation Modeling incorporating children, adult and elderly populations

Hartono

2016

2016 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)

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“…It implies that the detailed characteristics of anthropometric data should be of critical part in any anthropometry studies. A study by Widyanti et al (2015) has confirmed the significant difference among different ethnic groups. Some demographic factors such as ethnic origin, social status, sufficient nutrition and geographical origin were shown significantly in influencing the differences on anthropometric measures.…”

Section: Special Populations and Ethnic Groups In Anthropometrymentioning

confidence: 86%

“…A study by Chuan et al (2010) has compared the Indonesian and Singaporean populations, and taken deeper analysis on the different ethnic groups (i.e., Chinese descendant and local citizen) within each country. A recent similar study by Widyanti et al (2015) provides comparative anthropometric data among three major ethnic groups of Indonesian (i.e., Javanese, Sundanese and Minangkabau). This study, however, only discussed on Indonesian adult anthropometry.…”

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confidence: 99%

“…Ethnic differences become the important precursor of various anthropometric measures. According to Widyanti et al (2015), the anthropometric measurement taking into account different nationalities and ethnic groups has been conducted, such as Norwegian (Bolstad et al, 2001), Algerian (Mokdad, 2002), Portuguese (Barroso et al, 2005), Polish (Jarosz, 1999), Mexican American (Pennathura and Dowling, 2003), Indian (Victor et al, 2002), Filipinos (Del PradoLu, 2007), Swedish (Hanson et al, 2009), Bangladeshi (Khadem and Islam, 2014), and Iranian (Ghaderi et al, 2014;Sadeghi et al, 2015). Moreover, anthropometry study has been conducted in clinical practice to quantify changes in the craniofacial framework considering more than 25 ethnic groups (Leslie et al, 2005).…”

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confidence: 99%

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Indonesian anthropometry update for special populations incorporating Drillis and Contini revisited

Hartono

2018

International Journal of Industrial Ergonomics

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a b s t r a c tNowadays, research on anthropometry becomes more essential, and yet, it is critical due to its implication and contribution to product and system design. Since it deals with human capability and limitation on physical activities, its role becomes more important, especially, when it comes to the needs for special populations. This study provides a comparative study between elderly and children anthropometry using Drillis and Contini approach incorporating Chinese and non-Chinese ethnic groups. More than 1000 subjects involved in this study. After the data refinement process, there were 498 valid data for children (i.e., 98 Chinese male, 136 non-Chinese male, 134 Chinese female, and 130 non-Chinese female), and 556 valid data for elderly (i.e., 186 Chinese male, 148 non-Chinese male, 115 Chinese female, and 107 non-Chinese female).In general, the finding shows that elderly (both male and female, both Chinese and non-Chinese) tends to have similar size and pattern with adult. Whilst, male and female children of 6e9 years sub-group (both Chinese and non-Chinese sub-group) tend to have higher weight ratio, compared to elderly and the children of 10e12 years sub-group. It was easily recognized that the children tend to have higher rate for limb segments compared to other body dimensions. At all sample groups, the eye height and shoulder height were found to be highly correlated with stature. Moreover, related to body weight, all samples show that thigh thickness and abdominal depth were deemed to be significant measures to be associated with.The expected contribution of this study is that to update the Indonesian special population anthropometry and to identify which measures are significantly associated with stature and weight, respectively with regard to different special population and given limited anthropometric data. Practically, given the data of stature and body weight, product designer can predict the anthropometric characteristics for special population.

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“…Inadequate of school in reaching academic or nonacademic achievement not only national but also international level, based on the result of research shown; inadequate of school in achieving art and culture [16] competition (dancing, crafting, painting, batik, music, theater which only achieve 24% in implementation). This result was comparable to the results of field interviews stating that schools are still very rare who won trophies in the arts and culture.…”

Section: Resultsmentioning

confidence: 99%

An Evaluation of Graduate Competency in Elementary School

Arifin¹,

Nurdyansyah²,

Rais³

2018

Proceedings of the 1st International Conference on Intellectuals' Global Responsibility (ICIGR 2017)

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Abstract-In the Law on the National Education System in Indonesia explains about the eight national standards of education, which is position the competence of graduates as the center of the displacement of eight national standards of education. All power were intended to support the development of the standard of learning mastery quality contained in knowledge, skills and attitudes. Applying the standard of learning mastery was not as good as expected, many obstacles encountered. Not a few elementary schools, educators, and educational personnel who have limited understanding and skills in applying this standard. Most of elementary school have not understand the essence of the standard of learning mastery and the correlation with others standard yet. As the result, the process of preparing the standard of learning mastery only for fulfil the administrative requirement. The objective of this research was to know the implementation of the standard of learning mastery in elementary school. The research method was qualitative of description. The results of this research were: a) Lack of school of academic achievement and non-academic achievement both at national and international level, b) there was no design for improving students of postgraduate in academic or nonacademic, c) preparing rule by school for growing interest and talent students up.Keywords-the standard of learning mastery; elementary school

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Ethnic differences in Indonesian anthropometry data: Evidence from three different largest ethnics

Cited by 46 publications

References 28 publications

Indonesian anthropometry update through Drillis & Contini revisited and Structural Equation Modeling incorporating children, adult and elderly populations

Indonesian anthropometry update through Drillis & Contini revisited and Structural Equation Modeling incorporating children, adult and elderly populations

Indonesian anthropometry update for special populations incorporating Drillis and Contini revisited

An Evaluation of Graduate Competency in Elementary School

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