Judul: Aplikasi Sensor RGB-D untuk Pengukuran Antropometri Statis
Abstrak: Pengukuran antropometri yang dilakukan di Indonesia masih mengandalkan alat pengukuran manual seperti antropometer, penggaris, dan pita ukur. Penelitian ini bertujuan mengaplikasikan sensor RGB-D untuk sehingga didapatkan alternatif cara pengukuran antropometri statis selain pengukuran manual. Sensor RGB-D yang digunakan adalah Kinect Xbox 360 dari Microsoft. Penelitian dilakukan dengan menjalankan program pengaktifan sensor RGB-D sehingga dapat mendeteksi pengukuran antropometri statis yang meliputi tinggi badan, tinggi duduk, panjang kaki, panjang lutut, panjang tangan, panjang lengan bawah, lebar bahu dan lebar pinggul. Setelah sistem dijalankan, sensor menangkap objek yang dapat terdeteksi kemudian menjadi input dari program dan menghasilkan data RGB dan kedalaman (depth). Data depth merupakan data sebuah area dalam bentuk 3D tanpa memperdulikan kondisi cahaya pada area tersebut. Data RGB dan depth yang diperoleh diolah lagi untuk mendapatkan skeletal tracking. Skeletal tracking didapat jika sensor mendeteksi adanya manusia. Dari hasil skeletal tracking ini barulah program dapat menghasilkan data panjang dari masing-masing bagian tubuh yang diukur. Hasil pengolahan informasi ditunjukkan di layar monitor berupa satuan panjang dalam sentimeter (cm). Hasil penelitian menunjukkan dari 100 data antropometri yang diambil dengan sistem pengukuran ini menunjukkan rerata error absolut sistem 2.71 %. Error untuk tiap pengukuran antropometri adalah tinggi badan 2.53%, panjang lutut 2.94%, panjang kaki 2.97%, lebar bahu 2.47%, panjang tangan 2.16%, Panjang lengan bawah 2.46%, lebar pinggul 2.67%, dan tinggi duduk 3.45%. Dari hasil analisis regresi, didapatkan nilai korelasi rata-rata antara nilai aktual dan nilai sistem yaitu 0.91 sehingga hasil dari pengukuran sensor dapat diterima. Dapat disimpulkan bahwa penggunaan sensor Kinect untuk pengukuran antropometri dapat digunakan untuk pengukuran antropometri.
Keyword: antropometri statis, kinect, pengukuran

Judul: Aplikasi Sensor RGB-D untuk Pengukuran Antropometri Dinamis
Abstrak: Human body measurement data is important in designing various tools for humans, such as benches, workspace, driving room, agricultural tools and machinery. Measurement of human body dimension is included in the subdiscipline of ergonomics named anthropometry. The application of sensor and computer technology enable anthropometric measurements to be contactless. This study was aimed to conduct dynamic anthropometric measurements using Red, Green, Blue, and Depth (RGB-D) sensors of the Kinect. The research began with the calibration of the measurement system. Anthropometric measurements were performed on 110 subjects consisted of 55 men and 55 women. Dynamic anthropometric measurements were conducted manually using the anthropolometer, beside the skeletal tracking function of the Kinect measurement. The function of skeletal tracking was applied to read 19 joints found in humans. The results of simple linear regression shown the average correlation value of 110 subjects and 14 variables of measurement was 0.7 and had a strong relationship between the result of manual measurements with the result of measurements using the RGB-D sensor. In addition, the error value based on the Mean Absolute Percentage Error (MAPE) was 4.6% and the accuracy categorized as high. This results showed that dynamic anthropometric measurement method using the RGB-D sensor was recommended to be used., Data dimensi tubuh manusia menjadi kebutuhan penting dalam merancang berbagai alat untuk manusia, seperti bangku, ruang kerja, ruang kendali, alat dan mesin pertanian. Ilmu ukur dimensi tubuh manusia termasuk dalam rumpun ilmu ergonomika yang disebut antropometri. Pengaplikasian teknologi sensor dan komputer memungkinkan pengukuran antropometri dapat dilakukan tanpa sentuhan langsung. Penelitian ini bertujuan untuk melakukan pengukuran antropometri dinamis dengan menggunakan sensor Red, Green, Blue, dan Depth (RGB-D) pada Kinect. Penelitian ini diawali dengan tahap kalibrasi pada sistem pengukuran. Pengukuran antropometri dinamis dilakukan pada 110 subjek manusia yang terdiri dari 55 laki-laki dan 55 wanita. Pengukuran dengan metode manual menggunakan antropolometer. Pengukuran menggunakan sensor RGB-D dilakukan dengan fungsi skeletal tracking yang terdapat pada Kinect. Skeletal tracking berfungsi dengan membaca 19 titik sendi yang terdapat pada manusia. Hasil dari regresi linier sederhana menunjukkan rata–rata nilai korelasi dari 110 subjek dan 14 variabel pengukuran sebesar 0,7 dan memiliki kategori hubungan yang kuat antara hasil pengukuran manual dengan hasil pengukuran menggunakan sensor RGB-D. Selain itu, nilai galat berdasarkan Mean Absolute Percentage Error (MAPE) sebesar 4,6 % dan memiliki kategori ketepatan tinggi. Hal tersebut menunjukkan metode pengukuran antropometri dinamis menggunakan sensor RGB-D dapat direkomendasikan.
Keyword: anthropometry, RGB-D sensor, skeletal tracking

Judul: Thermal Characteristics and Dynamics of Tropical Cyclone over Western North Pacific Ocean: A Case Study of Typhoon Songda (Chedeng) 2011
Abstrak: The frequent occasion of Tropical Cyclone (TC) over Western North Pacific (WNP) Ocean lies from 10˚N to 26˚N and 121˚E to 170˚E. Sources of TC development come from warm ocean temperature where latent heat is released during condensation processes and subsequently concentrated in the boundary layer. Relative humidity at 850-700 hPa is responsible to produce the most intense storm. Meanwhile, weak vertical wind shear between 850-200 hPa is one of the dynamical factors that lead to the development of TC. Pressure level of 850-200 hPa is chosen to minimize the thermodynamic effect in the lower troposphere. Typhoon Songda (Chedeng in the Philippines) or TSC lasted from May 18th to 30th, 2011 and strengthened into powerful Super Typhoon stage between May 24th and 27th. Long curving track and the exhibition of all sequences of TC life cycle, TSC is then considered as an ideal case of TC. The objective of the study with case of TSC is to investigate the role of thermal characteristics and dynamics on TC intensity. The research is carried out by using Advanced Research of Weather Research and Forecasting model (WRF ARW model) version 3.3. Two domains are employed in the model. The first domain situate from 02˚N to 40˚N and 118˚E to 149˚E and cover spatial resolution () of 33.1 km. The second domain situate from 09˚N to 27˚N and 119˚E to 132˚E with of 11 km. Timestep of the model () is 120 seconds. The model is supported by the following physical parameterization, i.e., Yonsei University Scheme (YSU) in the boundary layer, Kain-Fritsch scheme (KF) in the cumulus, and WRF Single-Moment 3-class scheme in the microphysics. Initial meteorological condition prior to the formation of the cyclone is generated using WRF ARW standard-release model. Sensitivity of the model output is obtained from a selected single-parameter change scenarios, namely, 10 % to 20 % decrease and increase of wind shear initial data at 850-200 hPa, and by 10 % to 20 % decrease of relative humidity initial data at 850-700 hPa. The result showed that the negative correlations between wind shear and intensity are found in wind shear scenarios. Wind shears of 10 ms-1 which lead to strengthening of the wind intensity in the early period of Typhoon development are found in wind shear scenarios. The effect of wind shear changes on wind intensity is statistically significant in the 20 % wind shear scenarios. During mature stage, weak wind intensity occurred when wind shear increase as given in the WRF standard-release and the 20 % decreasing scenario. Different situation is found in the 20 % increasing scenario where wind shear tend to weak and lead to strong wind intensity at this stage. Meanwhile, the reduction of moisture supply at 850-700 hPa resulting from 20 % decreasing relative humidity play a major role in the weakening of wind intensity and reduces mechanical energy of the cycle process as much as 300 J kg-1.
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