scholarly journals SISTEM PNEGUKURAN INDEKS MASSA TUBUH MENGGUNAKAN SENSOR JARAK INFRA MERAH DAN LOAD CELL

2018 ◽  
Vol 3 (1) ◽  
pp. 43-48
Author(s):  
Vonnete Mieva Mayer Lusi ◽  
Ali Warsito ◽  
Andreas Christian Louk

ABSTRAK Telah dirancang suatu sistem pengukuran indeks massa tubuh manusia menggunakan Sensor Jarak Infra Merah tipe  Sharp IR GP2Y0A02YK0F, Load Cell 200 kg, Arduino Uno,Raspberry PI 3,HX711, Display HDMI dan komponen-komponen pendukung elektronika lainnya. Dalam penelitian ini Arduino Uno yang berfungsi sebagai pusat instruksi menggunakan mikrokontrol ATMega 328 digunakan untuk mengolah data pengukuran tinggi dan massa tubuh yang diperoleh dari sensor Sharp IR GP2Y0A02YK0F dan Load Cell. Sistem pengukuran ini dikontro,l menggunakan bahasa pemrograman arduino. Setelah arduino uno mendapatkan data tinggi dan massa tubuh, data tersebut dikirimkan ke  raspberry  pi 3 untuk menghitung nilai indeks massa tubuh (IMT) dan penentuan kategori tubuh menggunakan bahasa pemrograman lazarus. Jika nilai IMT >17,0  memiliki kategori tubuh “sangat kurus”, nilai IMT antara 17,0 – 18,4 memiliki kategori tubuh “kurus”, nilai IMT anatar 18,5 – 25,0 memiliki kategori tubuh “normal”, nilai IMT antara 25,1 – 27,0 memiliki kategori tubuh “gemuk”, dan nilai IMT  > 27,0 memiliki kategori tubuh “sangat gemuk”. Raspberry pi 3 ini juga sudah dilengkapi dengan support HDMI oleh karena itu  semua data tinggi, massa, IMT dan kategori tubuh  yang diperoleh ini akan di tampilkan pada Monitor HDMI sebagai outputnya. Kata Kunci :  IMT, IR GP2Y0A02YK0F ,Load Cell, Arduino, Raspberry, HX711, HDMI. ABSTRACT A human body mass index measurement system has been developed by using IR sharp distance infrared cencorG P2Y0A02YK0F,200 kg Load Cell, Arduino Uno,Raspberry PI 3,HX711, HDMI display and the other electronic components. In this research Arduino Uno has a purpose as the instruction center with AT Mega 328 microcontroller is used to prosess high measurement data and body mass obtained from cencor Sharp IR GP2Y0A02YK0F dan Load Cell. This measurement system is controlled by the Arduino programming language. After Arduino Uno get a high data and body mass, the data is sent to raspberry  pi 3 to calculate body mass index value ( BMI ) and the body category determination using lazarus programming language. If the BMI value < 17,0 classified as “very thin” body category, the BMI value between 17,0 – 18,4 has the category of “ thin body “, the value of intermediate BMI 18,5 – 25,0 has the “ normal body “ category, BMI value between 25,1 – 27,0 has a “ fat body “ category, and a BMI value >27,0 has a “ very fat body “ category. Raspberry pi 3 is also aquipped with HDMI support, hence all high data mass, BMI and body category will be displayed on HDMI monitor as its output. Keyword :BMI, IR GP2Y0A02YK0F ,Load Cell, Arduino, Raspberry, HX711, HDMI.

Author(s):  
Ayub Wimatra ◽  
Tiara Sylvia ◽  
Nurmahendra Harahap ◽  
Asri Santosa ◽  
Rizaldy Khair ◽  
...  

Memiliki tubuh proporsional sangat berpengaruh terhadap berat tubuh dan tinggi badan manusia, dalam menentukan tubuh yang proporsional dapat diketahui dengan menggunakan rumus BMI (Body Mass Index) atau index masa tubuh yang bermanfaat untuk dapat menentukan berat badan yang ideal bagi tiap orang yang telah diklasifikasi menurut WHO, apalagi dengan kemajuan zaman yang sangat modern saat ini maka diperlukannya alat yang dapat mempermudah dalam menentukan berat badan yang ideal tanpa harus menghitung secara manual. Tujuan dari penelitian ini untuk mengetahui cara alat ukur tinggi badan dan berat badan dapat bekerja dengan baik. Dengan menggunakan komponen utama yaitu arduino uno, sensor load cell sebagai pengukur berat badan, sensor ultrasonik yang berfungsi sebagai pengukur tinggi badan dan DF Player digunakan untuk menghasilkan output suara. Untuk cara penggunaannya, pengguna terlebih dahulu harus berdiri diatas kaca timbangan untuk mengukur berat dan sensor yang diatas kepala akan membaca tinggi badan dan kemudian ketika semua data telah terinput maka selanjutnya arduino uno akan memproses semua data dan kemudian menampilkannya pada layar LCD yang disertai dengan loudspeaker sebagai output suara yang menyatakan ideal atau tidak idealnya si pengguna.


Author(s):  
Theophilus Ewetumo ◽  
Kayode D Adedayo ◽  
Yusuf B Lawal ◽  
Abiodun T Edun ◽  
Joseph E Orokhe

The potential occurrence of certain illnesses can be easily diagnosed through measurements of some health indicators. One of such parameters is the Body Mass Index (BMI). BMI is simply the ratio of mass (kg) of a body to the square of its height (m2). This research presents the design and construction of an automated BMI measurement machine for medical purposes. It consists of three major units: the weighing unit (5 – 200 kg); height-measuring unit (0.02 – 2 m) and the processing unit. The weighing unit is made up of load button cell and load cell amplifier while the height-measuring unit consists of ultrasonic sensor. The analog differential output voltage from load cell is connected to arduino microcontroller via a Programmable Gain Amplifier (PGA) integrated with Analogue-to-Digital Converter (ADC). The two units are connected to an open source arduino uno which computes mass-to-body ratio and sends the output results (mass, height and BMI) to the liquid crystal display (LCD). The weighing system was calibrated against a precision digital weighing system and it gave a correlation of 0.99. The height measurement was also compared with manual height measurement using a tape rule which gave a correlation of 0.97. The developed Instrument is cost effective and has high positive correlation with the standards (weighing scale and tape rule), it is therefore recommended for the measurement of weight, height and BMI. Keywords— load button cell, load cell amplifier, ultrasonic, body mass index, arduino uno


2020 ◽  
Vol 10 (24) ◽  
pp. 9022
Author(s):  
Souhail Hermassi ◽  
Maha Sellami ◽  
Georg Fieseler ◽  
El Ghali Bouhafs ◽  
Lawrence D. Hayes ◽  
...  

This study aimed to compare 10-to-12-year-old Qatari male athletes and assess body fat, body mass index, and physical fitness, as well as the difference of these measures between ages. Thirty-five youth handball players volunteered for the investigation and were divided into three groups: 12-year-old players (U12; n = 12), 11-year-old players (U11; n = 11), 10-year-old players (U10; n = 12). Anthropometry was assessed by body mass, body fat percentage (%BF), and body mass index (BMI). Measurements included the Yo-Yo Intermittent Recovery Test Level 1 (Yo-Yo IR1), jumping ability (squat and countermovement jumps (SJ and CMJ, respectively)), and sprint tests (10 and 15 m). The power of the upper extremity was measured by a 2-kg overhead medicine ball throw for distance. Except for %BF (p = 0.387) and BMI (p = 0.070), all anthropometric and demographic parameters were different between age groups. The largest differences were found for body mass (p = 0.007) and body height (p = 0.008). Regarding fitness parameters, only the medicine ball throw (p = 0.022) was different between age groups (U10 vs. U12: p = 0.009; U11 vs. U12: p = 0.048). There was no difference between groups for jumping (CMJ: p = 0.586; SJ: p = 0.377), sprinting (10 m: p = 0.211; 15 m: p = 0.194) and Yo-Yo IR1 (p = 0.228). Body fat was the anthropometric parameter with the strongest relationship with physical performance in that lower body fat was related to superior jumping performance and sprint performance. In conclusion, except for %BF and BMI, all anthropometric parameters were different between U10, U11, and U12 handball players. For physical parameters, jumping, sprinting, and endurance performance were not different between age groups. From a practical perspective, coaches can use these findings as reference for the evaluation of their school-aged handball players, as well as for establishing performance goals.


2016 ◽  
Vol 36 (3) ◽  
pp. 269-276 ◽  
Author(s):  
Naohito Isoyama ◽  
Anna Machowska ◽  
Abdul Rashid Qureshi ◽  
Tae Yamamoto ◽  
Björn Anderstam ◽  
...  

Background The pro-inflammatory receptor of advanced glycation end-products (RAGE)-ligand S100A12 is thought to promote, whereas anti-inflammatory soluble RAGE (sRAGE) may protect against, vascular disease. We evaluated circulating S100A12 and sRAGE in relation to vascular disease, inflammation, nutritional status, and mortality risk in peritoneal dialysis (PD) patients. Methods Plasma S100A12 and sRAGE, biomarkers of inflammation, nutritional status, and comorbidities were analyzed in 82 prevalent PD patients (median age 65 years; 70% men; median vintage 12 months) and, for comparative analysis, also in 190 hemodialysis (HD) patients and 50 control subjects. Associations between mortality risk and concentrations of S100A12 and sRAGE were assessed in PD and HD patients after a mean follow-up period of 31 and 29 months respectively using a competing risk Cox regression model. Results In PD patients, median S100A12, sRAGE and S100A12/sRAGE were markedly higher than in controls, and S100A12 was 1.9 times higher and median sRAGE 14% lower compared with HD patients. In PD patients, S100A12 associated with C-reactive protein (ρ = 0.46; p < 0.001) and interleukin-6 (ρ = 0.38; p < 0.001), and, negatively, with s-albumin (ρ = -0.27; p < 0.05) whereas sRAGE associated negatively with body mass index (ρ = -0.37; p < 0.001), fat body mass index (ρ = -0.34; p < 0.001), and lean body mass index (ρ = -0.36; p < 0.001). Peripheral vascular disease or cerebrovascular disease (PCVD) was present in 28% of PD patients and, in multivariate analysis, associated mainly with high S100A12 (odds ratio [OR] 3.52, p = 0.04). In both PD and HD patients, the highest versus other tertiles of S100A12 associated with increased mortality. In contrast, sRAGE did not associate with PCVD or mortality in PD and HD patients. Conclusions Plasma S100A12 and sRAGE are markedly elevated in PD patients. Soluble RAGE was inversely related to body mass indices while S100A12 associated with increased inflammation, PCVD, and mortality, suggesting that S100A12 may identify PD patients at high risk for vascular disease and increased mortality.


2008 ◽  
Vol 7 (3) ◽  
pp. 134-136
Author(s):  
J A Fox ◽  
◽  
M A Fox ◽  
R L Westwood ◽  
N A Roberts ◽  
...  

A 20-year-old Asian, female, student nurse of thin body habitus (Body Mass Index 16.5) but otherwise previously well had numerous admissions to our centre under a variety of surgical sub-specialities over a 5-month period. Each month, coinciding with menses, she complained of non-specific abdominal discomfort in the absence of any other symptoms. With the exception of the presence of a sinus tachycardia coupled with incidental hyponatraemia full physical examinations and routine baseline investigations were unremarkable…


KINESTETIK ◽  
2018 ◽  
Vol 2 (2) ◽  
pp. 166-172
Author(s):  
Edo Prasetio ◽  
Ari Sutisyana ◽  
Bogy Restu Ilahi ◽  
Defliyanto Defliyanto

                                                                  Abstrak Penelitian ini bertujuan untuk mengetahui tingkat kebugaran jasmani berdasarkan indeks massa tubuh pada siswa SMP Negeri 29 Bengkulu Utara. Penelitian dilakukan dengan melakukan tes kebugaran jasmani dan tes antropometri pada siswa SMP Negeri 29 Bengkulu Utara. Sampel penelitian ini diambil dengan teknik Cluster Sampling. Analisis data yang di gunakan dalam penelitian ini adalah menggunakan persentase untuk menggambarkan frekuensi dan persentase dari data yang diperoleh. Hasil penelitian menyatakan bahwa 68% siswa memliki indeks massa tubuh yang kurang, 18% siswa memiliki indeks massa tubuh normal, dan 14% siswa memiliki indeks massa tubuh gemuk. Sedangkan tingkat kebugaran jasmani siswa menunjukkan 39% kurang, 42% sedang, dan 19% baik. Sehingga dapat disimpulkan bahwa tingkat kebugaran jasmani dan indeks massa tubuh pada siswa SMP Negeri 29 Bengkulu Utara masih rendah.Kata kunci: tingkat kebugaran jasmani, indeks massa tubuh.                                                                       Abstract The aim of this study is to find out the vitality level based on the body mass index on students of SMP Negeri 29 Bengkulu Utara. This study was conducted by performing physical vitality tests and anthropometric tests on Students of SMP Negeri 29 Bengkulu Utara. The samples of this study were takenfrom cluster sampling technique. Data analysis used in this study was the using of percentage to describe frequency and percentage of data obtained. The results showed that 68% of students had a low body mass index, 18% of students had a normal body mass index, and 14% of students had a fat body mass index. While the students' physical vitalitylevels showed 39% less, 42% moderate, and 19% good. Therefore, it can be concluded that the level of physical vitality and body mass index on students SMP Negeri 29 Bengkulu Utara still low.Keywords: physical vitality level, body mass index


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