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dc.contributor.advisorPetrus, Asan
dc.contributor.advisorLubis, Adriansyah
dc.contributor.authorHasibuan, Muhammad Akbar
dc.date.accessioned2024-08-29T03:42:09Z
dc.date.available2024-08-29T03:42:09Z
dc.date.issued2024
dc.identifier.urihttps://repositori.usu.ac.id/handle/123456789/96311
dc.description.abstractBackground Identification refers to the act or process of recognizing, distinguishing, or establishing the identity or properties of an object or individual. Since March 2024, floods and landslides caused by bad weather have hit 10 regencies and cities in West Sumatra. This disaster resulted in 28 deaths (25 in South Coast and 3 in Padang Pariaman), while 4 people are still declared missing. The Regional Disaster Management Agency declared a 14-day disaster emergency in five of the most affected areas, namely South Coast, Padang Pariaman, West Pasaman Regency, Padang City and Mentawai Islands. The purpose of this study was "to find a formula for determining height based on ulna bone length in the Minang tribe in 2024”. Method This study is an analytical correlation study with a cross-sectional research design The population in this study is Minang tribe with a research sample of all affordable population numbers selected based on inclusion criteria and exclusion criteria. In this study, the sample size is calculated based on the sample size formula for Numeral-Numerical Correlative Analysis. This study consists of two variables, namely independent and dependent variables. The independent variables in this study were ulna bone length (right and left), while the dependent variables in this study were height and characteristics of the subjects (age and sex). Result The number of samples examined to determine height based on ulna bone length in the Minang tribe in 2024 was 134 respondents. The highest number of age-based samples was at the age of 24 years as many as 43 respondents with a percentage of 32.9%. The lowest number of samples was at the age of 25 years as many as 14 respondents with a percentage of 10.4%. The highest number of samples based on gender was in the male sex as many as 88 respondents with a percentage of 65.7%. The lowest number of samples based on gender was in the female sex as many as 46 respondents with a percentage of 34.3%. The longest right ulna bone length of the 134 respondents was 31.5 cm. The shortest right ulna bone length of the 134 respondents was 23.4 cm. The longest left ulna bone length of the 134 respondents was 30.4 cm. The shortest left ulna bone length of the 134 respondents was 23.1 cm. The highest height of the respondents was 186.1 cm. The lowest height of the respondents was 148.2 cm. The regression formula in the right ulna of adult males is MRU H = 69.267 + 3.527 (RU) ± 4.04, the regression formula in the left ulna of adult males is MLU H = 70.332 + 3.514 (LU) ± 3.86, the regression formula in the right ulna and left ulna of adult males is MRU, MLU H = 69.464 + 0.378 (RU) + 3.166 (LU) ± 3.88, the regression formula in the right ulna of adult women is FRU H = 129.801+1.120 (RU) ± 4.88, the regression formula in the left ulna of adult women is FLU H = 114.324 + 1.755 (LU) ± 4.71, the regression formula in the right ulna and left ulna of adult women is FRU, FLU H = 115.176 + (-0.221) (RU) + 1.946 (LU) ± 4.76, the regression formula of right ulna is RU H = 80.926 + 3.073 (RU) ± 4.57, the regression formula of left ulna is LU H = 78.038 + 3.216 (LU) ± 4.24, and the regression formula on the right and left ulna is RU. LU H = 77.885 + 0.051 (RU) + 3.170 (LU) ± 4.26.en_US
dc.language.isoiden_US
dc.publisherUniversitas Sumatera Utaraen_US
dc.subjectFormulaen_US
dc.subjectIdentificationen_US
dc.subjectRegressionen_US
dc.subjectUlna Boneen_US
dc.subjectSDGsen_US
dc.titleFormula Penentuan Tinggi Badan Berdasarkan Panjang Tulang Ulna pada Suku Minang Tahun 2024en_US
dc.title.alternativeHeight Determination Formula Based on Ulna Bone Length in Minang Tribe in 2024en_US
dc.typeThesisen_US
dc.identifier.nimNIM227041095
dc.identifier.nidnNIDN0002046804
dc.identifier.nidnNIDN0016078605
dc.identifier.kodeprodiKODEPRODI11103#Ilmu Kedokteran Klinis
dc.description.pages101 Pagesen_US
dc.description.typeTesis Magisteren_US


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