Judul: Analisis fungsi hati dan ginjal manusia dengan photometer 4010
Abstrak: Tubuh manusia terdiri dari berbagai organ yang mempunyai perilaku dan fungsi berbeda- beda. Selama hidup organ- organ tersebut mengalami perubahan didalam sel maupun organ- organ pada tubuh manusia antara lain terjadi regenerasi maupun degenerasi yang berbeda- beda. Para pekerja yang bekerja di instalasi nuklir rentan terhadap radiasi, oleh karena itu sebagai pekerja radiasi wajib dilengkapi dengan Alat Pelindung Diri (APD) pekerja radiasi yaitu dosimeter poket, ophron, jas lab, sarung tangan, masker, dan lain-lain untuk mencegah terkena paparan radiasi. namun demikian kemungkinan terjadinya paparan radiasi masih tetap ada. Hati dan ginjal merupakan organ yang mempunyai tingkat kerentanan yang cukup berperan untuk terjadinya perubahan akibat radiasi, sehingga diperlukan cek rutin kesehatan pertahun yang dilakukan pada sub bagian Keselamatan Kerja di P3KRBiN - BATAN.
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Judul: Detection of Human Heart Rate Based on Changes in Skin Color Using Infrared Camera
Abstrak: Jantung merupakan salah satu organ tubuh yang paling penting. Secara medis, umumnya pengukuran detak jantung membutuhkan alat-alat seperti electrocardiograph (ECG), stetoskop, dan blood pressure measurement. Namun ketersediaan alat seperti ECG hanya tersedia di rumah sakit tertentu serta biaya pemeriksaan yang cukup tinggi. Metode lain yang dapat digunakan untuk mengukur denyut jantung adalah photoplethysmograph (PPG), yaitu mengukur perubahan volume darah di dalam suatu organ menggunakan sensor optik. Penelitian ini bertujuan untuk mendeteksi tingkat perubahan denyut jantung pada manusia menggunakan kamera inframerah dengan teknologi pengolahan citra serta mengetahui korelasinya terhadap pengukuran aktual. Alat yang digunakan adalah kamera inframerah berupa Kinect 360 dan pulse monitor untuk mendapatkan data denyut jantung. Peneitian ini dimulai dengan tahap pengambilan data. Data yang diambil berupa foto kondisi kulit subjek sebelum dan sesudah melakukan aktifitas fisik dan data denyut jantung subjek menggunakan metode step test. Tahap selanjutnya adalah pengolahan data yang dilakukan menggunakan regresi linier sederhana untuk mendapatkan tingkat korelasi antara hasil dari pengolahan citra yaitu reflektan inframerah dengan peningkatan denyut jantung. Hasil dari regresi linier sederhana menunjukkan perubahan reflektan inframerah yang cukup signifikan dengan rata-rata nilai korelasi mencapai 0.6. Hal ini menunjukkan adanya hubungan antara perubahan reflektan inframerah terhadap perubahan tingkat kelelahan sehingga metode deteksi peningkatan denyut jantung berdasarkan perubahan warna kulit menggunakan kamera inframerah dapat dilakukan, One of the essential organs is heart. Usually, for heart rate measurement we could use electrocardiograph (ECG), stethoscope, and blood pressure measurement. However, the ECG itself only could be found in certain hospitals and will cost a lot of money. Another method we could use for heart rate was photoplethysmograph, which measures the change of blood volume in an organ using the optic sensor. The objective of this research was to detect the change of human’s heart rate using infrared camera with image processing technology and to find out its correlation to actual measurements. The tools were used are infrared camera from Kinect 360 and pulse monitor to obtain the heart rate’s data. This research began with the data acquisition stage. The acquired data were images of subject skin condition before and after physical activity and heart rate’s data of subject using the step test method. The next stage was data processing which conducted by using simple linear regression to get the correlation level between the results of image processing i.e. infrared reflectance and the heart rate change. The results of simple linear regression shown that the change in infrared reflectance value was significant, which the average correlation value was 0.6. The result showed that there was a strong relationship between changes in infrared reflectance and heart rate change, therefore an infrared camera recommended to be used to detect heart rate change.
Keyword: heart rate, infrared camera, skin color

Judul: The Construction of Greedy SVP LLL Algorithm
Abstrak: A lattice is a set of all integer linear combination of a set of linearly independent vectors in ℝ𝑛���. The independent vectors are called bases of lattice. Any lattice can be generated from many bases, and these bases have the same cardinality. In the lattice, the most fundamental and renowned problem is the Shortest Vector Problem (SVP). SVP is a tracking problem of the shortest nonzero vector in a lattice with equivalent bases. In two dimensions, SVP problem has resolved exactly by Gauss’ algorithm. When the lattice dimension is higher than two, A.K. Lenstra, H.W. Lenstra and L. Lovasz gave a LLL algorithm to compute approximation of nonzero shortest vector in the lattice. Reduced bases solution obtained from LLL algorithm still be an approximation and has polynomial running time of arbitrary dimension which large enough. In 1994, Schnoor and Euchner modified this LLL algorithm as a new variant which later was named deep insertion LLL algorithm. This algorithm is a modified version of the LLL algorithm to the terms of the exchange step to improve the accuracy of output of LLL reduced bases and applying it to the subset sum problem. The purpose of this research are: (1) Reconstruct the LLL algorithm and deep insertion LLL algorithm using a geometric approach. (2) Construct a greedy SVP LLL algorithm. (3) Implement the three algorithms in a symbolic programming language, and evaluate them experimentally. A bases ℬ=[𝐛���1,𝐛���2,…,𝐛���𝑛���] in ℝ𝑚��� is called reduced LLL with parameter 𝛿��� if satisfies: (a) |𝜇���𝑗���𝑖���|≤12, for every integer 𝑖���,𝑗��� with 1≤𝑖���<𝑗���<𝑛���. (b)𝛿���‖𝜋���𝑗���(𝐛���𝑗���)‖2≤‖𝜋���𝑗���(𝐛���𝑗���+1)‖2, for 𝑗���=1,2,…,𝑛���−1,where 𝛿��� is a reduced parameter of real numbers with 14<𝛿���<1. The first requirement is the reduced basis 𝛿��� must “nearly orthogonal” and in its computation case, this requirement can be reached out by using the Gram-Schmidt’s orthogonalization. While the second requirement is called exchange step, or used to called as Lovasz condition. By using both of these requirements, then they establish the LLL algorithm. Then, Schnoor and Euchner modify the LLL algorithm based on the requirements of the exchange step called the deep insertion LLL algorithm, where the exchange step is based on the comparison of the projected vector in orthogonal complement [𝐛���1,𝐛���2,…,𝐛���𝑘���−1]⊥ after j-th reduction. To construct greedy SVP LLL algorithm, the requirements of the exchange step is based on purely by comparing norm of lattice 𝐛���𝑗��� with norm lattice 𝐛���𝑖��� for 𝑖���=1,2,3…,𝑗���−1. The process of insertion reduced vector after the exchange step also has done greedily. Then, we calculate the number of arithmetic operation in greedy SVP LLL algorithm for further analysis. The result of our exprimentation for three algorithms on the certain matrix size shows that the running time of the three algorithms increases propotional to the size of the matrix. The result also shows that by using 𝛿���=34 for the LLL algorithm and the deep insertion LLL algorithm, and the greedy SVP LLL algorithm which is a new variant made by using no parameter of 𝛿���, outperform of the other of two previous algorithm in terms of speed with the same output.
Keyword: LLL algorithm, LLL deep insertion algorithm, greedy SVP LLL algorithm